High-sugar diet switches sex-specific longevity responses to capsaicin in Drosophila melanogaster

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Based on capsaicin's established metabolic benefits, we hypothesized that capsaicin supplementation would extend lifespan in both male and female Drosophila melanogaster under high-sugar diet conditions. Here, we tested the impacts of capsaicin on longevity in Drosophila melanogaster fed a high-sugar diet. Contrary to our hypothesis, a sex-specific reversal was found: capsaicin at 1–100 µmol/L significantly extended the median lifespan of male flies by 10.52% (P < 0.01), yet showed no benefit in females. This was in contrast to our previous finding where capsaicin increased female lifespan on standard diet. Such a diet-switched sex specificity highlights that capsaicin's effects are not only sex-dependent but also modulated by metabolic interactions with dietary conditions. Furthermore, the lifespan-extending effects of capsaicin were concentration-dependent, suggesting potential hormetic mechanisms. These novel findings underscore the complex interplay between bioactive compounds, host metabolism and sex-specific responses in the context of obesity-inducing diets. capsaicin spicy food Drosophila high-sugar diet Sex specificity hormesis metabolic stress Figures Figure 1 Introduction Capsaicin (trans-8-methyl-N-vanillyl-6-nonenamide) is the principal pungent component in peppers, including red chili peppers, jalapeños, and habaneros [ 1 ]. The main biological effects of capsaicin include analgesic, antioxidant, anti-inflammatory, anti-cancer, anti-obesity, cardioprotective and metabolic modulating effects [ 2 ]. Although comprehensive evidence suggests that capsaicin has pleiotropic benefits, it is often avoided due to reported digestive side effects. Chili peppers are the most commonly consumed and frequent spice, both as a flavoring and coloring agent, and the most important source of capsaicin for human intake. The consumption of spicy food is regional and forms part of the culinary culture in some areas, being favored by some people in daily eating habits. Recent epidemiological evidence strongly supports the health benefits of capsaicin consumption. A meta-analysis based on four large studies of 570,762 human subjects from China, the United States, Italy, and Iran showed that those who frequently ate chili peppers had a 25% lower relative risk of all-cause mortality [ 3 ]. Another study analyzed Internet online search and food apps data of food preferences of more than 210 million persons in China, as well as data of 98,658 persons in China's non-communicable disease surveillance, and found that spicy food preference is inversely associated with diabetes risk [ 4 ]. However, the effect of capsaicin, the main bioactive component of chili pepper, on mortality remains unclear, particularly under different dietary contexts. Capsaicin exerts its biological effects primarily through the transient receptor potential vanilloid 1 (TRPV1) channel, which is involved in pain perception, thermogenesis, and metabolic regulation [ 5 ]. The global epidemic of obesity and metabolic syndrome has intensified research into dietary interventions that can mitigate the adverse effects of obesogenic diets, making the study of capsaicin's effects under such conditions particularly relevant [ 6 ]. The fruit fly (Drosophila melanogaster) is a cost-effective model with a short lifespan. Its endocrine system resembles mammals', and the insulin/insulin-like growth factor signaling (IIS) pathway is evolutionarily conserved [ 7 ]. Like humans, Drosophila fed a high-sugar diet develop hyperglycemia, insulin resistance, and obesity [ 8 ]. High-sugar diets in Drosophila reliably induce obesity, insulin resistance, and shortened lifespan, mimicking key features of human metabolic syndrome [ 9 ]. Recent studies have shown that dietary interventions can have sex-specific effects on Drosophila longevity, with males and females responding differently to the same compounds [ 10 ]. The concept of hormesis, characterized by beneficial effects of low doses of potentially harmful agents, has emerged as a key mechanism underlying the longevity benefits of various bioactive compounds [ 11 ]. Hormetic responses are often dose-dependent and can be influenced by genetic background, sex, and environmental conditions [ 12 ]. Understanding these complex interactions is crucial for developing personalized approaches to healthy aging. Critically, our prior work demonstrated that capsaicin extends female lifespan on standard diets [ 13 ]. If capsaicin's benefits simply reflect intrinsic bioactivity, similar effects should occur across diets. The complete reversal of sex-specificity under high-sugar stress reported here provides evidence that capsaicin's longevity effects are dynamically modulated by metabolic status, implicating diet-nutrient sensing pathways as key mediators. However, the effects of capsaicin under metabolically challenging conditions, such as high-sugar diets, have not been investigated. Given the increasing prevalence of obesogenic diets and their differential effects on male and female physiology, understanding how capsaicin functions in these contexts is of paramount importance [ 14 ]. We therefore hypothesized that dietary context may fundamentally reshape capsaicin's sex-specific effects. Our findings reveal a remarkable reversal of capsaicin's sex-specific effects under high-sugar conditions, providing new insights into the complex interplay between bioactive compounds, metabolic stress, and sex-specific aging processes. Materials and Methods Drosophila Culture and Life Span Assay The Drosophila melanogaster wild-type stock w[1118] (Bloomington Stock Center) was maintained on a 12 h:12 h light: dark cycle at the temperature of 25°C, humidity of 60% and light intensity of 500 Lux. Enclosing adult flies were collected over a 24-hour period and mated for 48 hours before sorting into male vials or female vials. Life span assay was conducted with a density of 40 flies per vial on sugar − yeast − agar (SYA) medium. The food medium is high sugar food medium, and the ratio of yeast and sugar in high sugar food is 1:4 (the ratio of yeast and sugar in common 1.0 food is 2:1). Flies were transferred to new vials every other day and the number of deaths was counted. High-sugar diet (HSD) feeding in Drosophila is an established model for diet-induced metabolic dysfunction[ 8 ]. Capsaicin concentration and preparation Capsaicin at concentrations of 100 µmol/L,1 µmol/L, 0.01 µmol/L were tested. Capsaicin was dissolved in 100% ETOH and 50µL solution was added to the surface of the food. The control group was added with 50µL of 100% ETOH. Each group concentration has 3 tubes of male and female Drosophila (no virgin flies), for a total of 4*3*2 = 24 tubes with 40 flies per tube. Statistical Analysis Statistical analyses were performed using GraphPad Prism v. 6 and SPSS 25.0. 2-way ANOVA was conducted on gender and capsaicin concentration analysis. The mean, median, maximum, minimum, Log rank tests and COX proportional hazards analysis were performed on survival curves. Results Log-rank analysis revealed distinct sex-specific responses to capsaicin treatment under high-sugar dietary conditions. Capsaicin had no significant effect on the lifespan of female fruit flies at any tested concentration (P > 0.05) (Fig. 1 , Table 1 ). In contrast, capsaicin significantly prolonged the lifespan of male Drosophila at concentrations of 1 and 100 µmol/L (P < 0.05 for 1 µmol/L and P < 0.01 for 100 µmol/L) (Fig. 1 , Table 1 ). The median lifespan of male Drosophila was extended by 5.26% at the lowest concentration of 0.01 µmol/L, though this increase did not achieve statistical significance (P > 0.05). At both the medium and highest concentrations, the median lifespan of male Drosophila was prolonged by 10.52%, indicating a plateau effect at therapeutic doses. To investigate the effects of different capsaicin concentrations on fly longevity in high-sugar medium, we performed two-way ANOVA analysis. The results demonstrated significant differences between males and females (F(1,930) = 344.738, p < 0.001) and between capsaicin concentrations (F(3,930) = 2.871, p < 0.05). Importantly, a significant interaction between sex and capsaicin concentration was detected (F(3,930) = 3.356, p < 0.05) (Table 2 ), confirming the sex-dependent nature of capsaicin's effects under these dietary conditions. Table 1. Effects of capsaicin treatment on lifespan parameters of male and female Drosophila melanogaster fed high-sugar diet analyzed by log-rank test Sex Concentration N Mean Median Min Max △Mean △Median Log Rank p value F control 120 25.78 24 2 44 - - - F 0.01 μmol/L 109 26.72 24 2 50 3.62 0 0.1658 F 1 μmol/L 122 24.77 24 4 44 -3.93 0 0.3002 F 100 μmol/L 120 23.08 21 2 48 -10.47 -12.5 0.0731 M control 113 34.97 38 2 54 - - - M 0.01 μmol/L 115 37.65 40 2 54 7.65 5.26 0.0921 M 1 μmol/L 116 38.95 42 20 50 11.36 10.52 0.0220* M 100 μmol/L 115 36.80 42 14 58 5.22 10.52 0.0025* Abbreviations: F, female; M, male. *p < 0.05. To further understand how the sex-concentration interaction affected survival, we conducted detailed analysis of the lifespan data through multiple comparisons. For female groups, significant differences in mean lifespan were observed between the 0.01 µmol/L and 100 µmol/L treatment groups (Table 3 ). In male Drosophila, significant differences in mean lifespan were found between the control and 1 µmol/L treatment groups (Table 4 ). Given that ANOVA represents a parametric test based on sample means, we subsequently employed Cox proportional hazards analysis to provide additional validation of capsaicin's effects on survival within each sex. Cox proportional hazards analysis, a semi-parametric survival analysis method with higher statistical power, was selected to verify our experimental conclusions. The Cox analysis results were consistent with the log-rank test findings (Table 5 , Table 6 ), confirming the differential effects of capsaicin between sexes. However, the P-value for the 1 µmol/L male Drosophila group was slightly greater than 0.05 in the Cox analysis, indicating that while the biological effect is evident, it approaches the conventional threshold for statistical significance. Table 5 Cox proportional hazards analysis of capsaicin treatment effects on survival of female Drosophila melanogaster under high-sugar diet conditions Food B SE Wald df Sig. Exp(B) 95.0% CI for Exp(B) Lower Upper concentration 8.241 3 .040 0.01 µmol/L − .160 .134 1.427 1 .232 .852 .656 1.108 1 µmol/L .100 .129 .598 1 .439 1.105 .858 1.422 100 µmol/L .209 .130 2.570 1 .109 1.232 .955 1.590 Abbreviations: CI, confidence interval. Table 6 Cox proportional hazards analysis of capsaicin treatment effects on survival of male Drosophila melanogaster under high-sugar diet conditions Food B SE Wald df Sig. Exp(B) 95.0% CI for Exp(B) Lower Upper concentration 11.313 3 .010 0.01 µmol/L − .189 .133 2.030 1 .154 .828 .638 1.074 1 µmol/L − .255 .133 3.685 1 .055 .775 .598 1.005 100 µmol/L − .453 .136 11.058 1 .001 .635 .486 .830 Abbreviations: CI, confidence interval. Discussion Our hypothesis was only partially supported by the experimental results. We hypothesized that capsaicin supplementation would extend lifespan in both male and female Drosophila melanogaster under high-sugar diet conditions, based on its established metabolic benefits. However, our findings revealed a striking sex-specific response that contradicted our initial prediction. Our study provides the first evidence that capsaicin's effects on lifespan are subject to dual regulation by diet and sex, which highlights the intricate interplay between bioactive compounds, nutritional conditions, and host physiological differences. Here we showed sex specific effect of capsaicin on lifespan. The lifespan increase was observed only in males when the diet was high-sugar (8 folds of the regular diet), and the effective concentration is 100 µmol/L and 1 µmol/L. Interestingly, in our previous study, on common food which the sugar content is 1/8 of the food medium used in this research, lifespan was significantly increased in females [ 13 ]. This unexpected reversal of sex-specific effects under different dietary conditions demonstrates that capsaicin's biological activity is more complex than initially anticipated. The observed diet-dependent reversal of capsaicin's sex-specific effects may be explained by differential metabolic responses to high-sugar diets between sexes. Sex difference in lifespan is affected by environmental conditions, such as the diet. High-sugar diet in Drosophila melanogaster has sexually dimorphic effects on feeding behavior, hunger resistance, and longevity [ 15 ]. Females decreased food consumption on high sugar diet compared with those on common food, while males increased food consumption. Females gain more than males the ability to resist the starvation phase of a high-sugar diet, and females' longevity is more likely to be adversely affected by a high-sugar diet [ 15 ]. Thus, it is reasonable that high sugar diet changed the base metabolism and the effects of capsaicin on high sugar diet and regular food are different.This sex-specific vulnerability to sugar-induced metabolic stress may fundamentally alter the physiological responses to capsaicin. Recent advances in aging research have highlighted the role of sex hormonal regulation in determining lifespan limits and adaptive responses to environmental stressors [ 16 , 17 ]. Under high-sugar conditions, the metabolic burden may disproportionately affect female flies, potentially overwhelming the protective mechanisms typically activated by capsaicin, while males may retain greater therapeutic responsiveness due to their different metabolic adaptation strategies. A possible mechanism for capsaicin may be that it improves glucose homeostasis in Drosophila by modulating the microflora of the gut. Capsaicin regulates bile acid metabolism by remodeling the intestinal microbiota of male mice, characterized by an increased abundance of bacterial spp. that enhances glucagon-like peptide-1 secretion and improves glucose homeostasis [ 18 ]. This gut microbiota-mediated mechanism may explain the male-specific benefits observed under high-sugar conditions, as sex differences in gut microbiome composition and function have been increasingly recognized [ 19 ].Neuropeptide calcitonin-gene-related peptide (CGRP), which modulates metabolism [ 20 ], or other signaling pathways besides TRPV1 could also be the mechanism. Studies have shown that capsaicin inhibits IHG-induced (intermittent high glucose) endothelial cell senescence, possibly by upregulating SIRT1 expression in a TRPV1/Ca2+/CaMKII/AMPK-dependent mechanism [ 21 ]. The SIRT1 pathway is particularly relevant as it serves as a key mediator of metabolic homeostasis and longevity, with sex-specific expression patterns that may contribute to the observed differential responses [ 22 ].Insulin signaling pathways, which are central to longevity regulation and are differentially affected by high-sugar diets in males and females, may serve as key mediators of capsaicin's sex-specific effects [ 23 ]. The metabolic stress induced by obesogenic diets may create distinct therapeutic windows for capsaicin intervention between sexes, reflecting evolutionary adaptations to different environmental pressures. Our result showed that the capsaicin effect is concentration dependent. In numerous experimental models, antioxidants have shown to induce hormetic response, which is concentration/dose dependent. Hormetic response can limit age-related damages and reduce severity of age-related diseases, by activating Nrf2/ARE pathway [ 24 ]. For example, antioxidant can protect mitochondria and provide cellular protection in anti-degenerative therapeutics [ 25 ]. As capsaicin can act as an antioxidant, the concentration dependent result can be explained by hormetic response, and the activation of vitagene network.The plateau effect observed between 1 and 100 µmol/L concentrations indicates that capsaicin operates within a narrow therapeutic window under high-sugar conditions. Recent research has emphasized that hormetic responses are fundamental components of adaptability that enhance survival, with sex-specific thresholds and response patterns increasingly recognized [ 12 ]. The similar magnitude of lifespan extension at both effective concentrations suggests that the hormetic response saturates within this range, providing important guidance for determining optimal therapeutic dosing strategies. Conclusion This study demonstrates a remarkable diet-dependent reversal of capsaicin's sex-specific effects on longevity in Drosophila melanogaster. Under high-sugar conditions, capsaicin selectively extends male lifespan through apparent hormetic mechanisms, contrasting with its female-specific benefits under standard dietary conditions. These findings underscore the critical importance of considering both sex and metabolic context when evaluating the therapeutic potential of bioactive compounds. The concentration-dependent nature of capsaicin's effects, combined with the sex-specific reversal under obesogenic conditions, highlights the complex interplay between bioactive compounds, host metabolism, and evolutionary adaptations. However, several limitations should be acknowledged, including the exclusive focus on high-sugar conditions without simultaneous standard diet controls, the examination of only three capsaicin concentrations that may miss optimal therapeutic windows, and the need for deeper mechanistic investigation to elucidate the molecular pathways underlying the observed sex-specific reversal. Future research priorities should include mechanistic studies targeting insulin signaling and stress response pathways, expanded dose-response analyses across broader concentration ranges, comparative dietary studies examining multiple metabolic conditions simultaneously, temporal investigations of long-term treatment effects, and translational research extending these findings to mammalian models. These insights have significant implications for developing personalized nutritional interventions targeting age-related metabolic dysfunction and may inform future clinical trials investigating capsaicin's therapeutic potential in human populations, ultimately advocating for precision nutrition approaches that account for the dynamic interplay between bioactive compounds, individual physiology, and environmental context. Declarations Acknowledgments The authors thank the anonymous reviewers for their constructive comments that improved this manuscript. Funding Sources This work was supported by the grant to J.S. (Zhejiang Provincial Natural Science Foundation of China, LY22C060002). Author Contributions Rui Wu: Data curation, Writing- Original draft preparation. Hui Jin: Software, Validation, Investigation. Jie Shen: Writing- Reviewing and Editing, Supervision. Author Declarations Conflict of Interest: The authors declare that they have no conflict of interest. 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17:31:59","extension":"xml","order_by":5,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":103504,"visible":true,"origin":"","legend":"","description":"","filename":"8142bc5678544b64a18afc082bb6e57f1structuring.xml","url":"https://assets-eu.researchsquare.com/files/rs-7648416/v1/d07d6c01638560dd07fd020b.xml"},{"id":92615338,"identity":"57f16113-f2db-4c15-81e2-6e80693e8b0b","added_by":"auto","created_at":"2025-10-01 17:31:59","extension":"html","order_by":6,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":111327,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-7648416/v1/0161964120a786753f1503e0.html"},{"id":92615334,"identity":"a46e0de3-9714-47aa-91ef-ceb8adc65f30","added_by":"auto","created_at":"2025-10-01 17:31:59","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":103096,"visible":true,"origin":"","legend":"\u003cp\u003eCapsaicin extends lifespan in male but not female Drosophila melanogaster under high-sugar diet conditions. Survival curves show the effects of capsaicin treatment (0.01, 1, and 100 μmol/L) compared to ethanol control in female (\u003cstrong\u003eA\u003c/strong\u003e) and male (\u003cstrong\u003eB\u003c/strong\u003e) Drosophila melanogaster fed high-sugar diet (yeast:sugar ratio 1:4, 8-fold higher sugar content than standard diet). Capsaicin significantly extended median lifespan in males at 1 μmol/L (10.52% increase, P\u0026lt;0.05) and 100 μmol/L (10.52% increase, P\u0026lt;0.01) but showed no significant effects in females at any concentration tested (P\u0026gt;0.05). Statistical analysis performed using log-rank test. n=109-122 flies per group.\u003c/p\u003e\n\u003cp\u003eAbbreviations: μmol/L, micromolar.\u003c/p\u003e","description":"","filename":"floatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-7648416/v1/f24f446403905049aea4bf40.png"},{"id":92711327,"identity":"7636e100-e145-4484-8a02-6814b1f9c681","added_by":"auto","created_at":"2025-10-03 11:09:31","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":671487,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7648416/v1/3966bf55-0a19-4abc-b06e-4ee5cbd45474.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"High-sugar diet switches sex-specific longevity responses to capsaicin in Drosophila melanogaster","fulltext":[{"header":"Introduction","content":"\u003cp\u003eCapsaicin (trans-8-methyl-N-vanillyl-6-nonenamide) is the principal pungent component in peppers, including red chili peppers, jalape\u0026ntilde;os, and habaneros [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. The main biological effects of capsaicin include analgesic, antioxidant, anti-inflammatory, anti-cancer, anti-obesity, cardioprotective and metabolic modulating effects [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Although comprehensive evidence suggests that capsaicin has pleiotropic benefits, it is often avoided due to reported digestive side effects. Chili peppers are the most commonly consumed and frequent spice, both as a flavoring and coloring agent, and the most important source of capsaicin for human intake. The consumption of spicy food is regional and forms part of the culinary culture in some areas, being favored by some people in daily eating habits.\u003c/p\u003e\u003cp\u003eRecent epidemiological evidence strongly supports the health benefits of capsaicin consumption. A meta-analysis based on four large studies of 570,762 human subjects from China, the United States, Italy, and Iran showed that those who frequently ate chili peppers had a 25% lower relative risk of all-cause mortality [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Another study analyzed Internet online search and food apps data of food preferences of more than 210\u0026nbsp;million persons in China, as well as data of 98,658 persons in China's non-communicable disease surveillance, and found that spicy food preference is inversely associated with diabetes risk [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. However, the effect of capsaicin, the main bioactive component of chili pepper, on mortality remains unclear, particularly under different dietary contexts.\u003c/p\u003e\u003cp\u003eCapsaicin exerts its biological effects primarily through the transient receptor potential vanilloid 1 (TRPV1) channel, which is involved in pain perception, thermogenesis, and metabolic regulation [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. The global epidemic of obesity and metabolic syndrome has intensified research into dietary interventions that can mitigate the adverse effects of obesogenic diets, making the study of capsaicin's effects under such conditions particularly relevant [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eThe fruit fly (Drosophila melanogaster) is a cost-effective model with a short lifespan. Its endocrine system resembles mammals', and the insulin/insulin-like growth factor signaling (IIS) pathway is evolutionarily conserved [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. Like humans, Drosophila fed a high-sugar diet develop hyperglycemia, insulin resistance, and obesity [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. High-sugar diets in Drosophila reliably induce obesity, insulin resistance, and shortened lifespan, mimicking key features of human metabolic syndrome [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. Recent studies have shown that dietary interventions can have sex-specific effects on Drosophila longevity, with males and females responding differently to the same compounds [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eThe concept of hormesis, characterized by beneficial effects of low doses of potentially harmful agents, has emerged as a key mechanism underlying the longevity benefits of various bioactive compounds [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. Hormetic responses are often dose-dependent and can be influenced by genetic background, sex, and environmental conditions [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. Understanding these complex interactions is crucial for developing personalized approaches to healthy aging.\u003c/p\u003e\u003cp\u003eCritically, our prior work demonstrated that capsaicin extends female lifespan on standard diets [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. If capsaicin's benefits simply reflect intrinsic bioactivity, similar effects should occur across diets. The complete reversal of sex-specificity under high-sugar stress reported here provides evidence that capsaicin's longevity effects are dynamically modulated by metabolic status, implicating diet-nutrient sensing pathways as key mediators. However, the effects of capsaicin under metabolically challenging conditions, such as high-sugar diets, have not been investigated. Given the increasing prevalence of obesogenic diets and their differential effects on male and female physiology, understanding how capsaicin functions in these contexts is of paramount importance [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eWe therefore hypothesized that dietary context may fundamentally reshape capsaicin's sex-specific effects. Our findings reveal a remarkable reversal of capsaicin's sex-specific effects under high-sugar conditions, providing new insights into the complex interplay between bioactive compounds, metabolic stress, and sex-specific aging processes.\u003c/p\u003e"},{"header":"Materials and Methods","content":"\u003cp\u003e\u003cb\u003eDrosophila\u003c/b\u003e \u003cb\u003eCulture and Life Span Assay\u003c/b\u003e\u003c/p\u003e\u003cp\u003eThe \u003cem\u003eDrosophila melanogaster\u003c/em\u003e wild-type stock w[1118] (Bloomington Stock Center) was maintained on a 12 h:12 h light: dark cycle at the temperature of 25\u0026deg;C, humidity of 60% and light intensity of 500 Lux. Enclosing adult flies were collected over a 24-hour period and mated for 48 hours before sorting into male vials or female vials. Life span assay was conducted with a density of 40 flies per vial on sugar\u0026thinsp;\u0026minus;\u0026thinsp;yeast\u0026thinsp;\u0026minus;\u0026thinsp;agar (SYA) medium. The food medium is high sugar food medium, and the ratio of yeast and sugar in high sugar food is 1:4 (the ratio of yeast and sugar in common 1.0 food is 2:1). Flies were transferred to new vials every other day and the number of deaths was counted. High-sugar diet (HSD) feeding in \u003cem\u003eDrosophila\u003c/em\u003e is an established model for diet-induced metabolic dysfunction[\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e].\u003c/p\u003e\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003eCapsaicin concentration and preparation\u003c/h2\u003e\u003cp\u003eCapsaicin at concentrations of 100 \u0026micro;mol/L,1 \u0026micro;mol/L, 0.01 \u0026micro;mol/L were tested. Capsaicin was dissolved in 100% ETOH and 50\u0026micro;L solution was added to the surface of the food. The control group was added with 50\u0026micro;L of 100% ETOH. Each group concentration has 3 tubes of male and female \u003cem\u003eDrosophila\u003c/em\u003e (no virgin flies), for a total of 4*3*2\u0026thinsp;=\u0026thinsp;24 tubes with 40 flies per tube.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\u003ch2\u003eStatistical Analysis\u003c/h2\u003e\u003cp\u003eStatistical analyses were performed using GraphPad Prism v. 6 and SPSS 25.0. 2-way ANOVA was conducted on gender and capsaicin concentration analysis. The mean, median, maximum, minimum, Log rank tests and COX proportional hazards analysis were performed on survival curves.\u003c/p\u003e\u003c/div\u003e"},{"header":"Results","content":"\u003cp\u003eLog-rank analysis revealed distinct sex-specific responses to capsaicin treatment under high-sugar dietary conditions. Capsaicin had no significant effect on the lifespan of female fruit flies at any tested concentration (P\u0026thinsp;\u0026gt;\u0026thinsp;0.05) (Fig. \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e, Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e). In contrast, capsaicin significantly prolonged the lifespan of male Drosophila at concentrations of 1 and 100 \u0026micro;mol/L (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05 for 1 \u0026micro;mol/L and P\u0026thinsp;\u0026lt;\u0026thinsp;0.01 for 100 \u0026micro;mol/L) (Fig. \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e, Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e). The median lifespan of male Drosophila was extended by 5.26% at the lowest concentration of 0.01 \u0026micro;mol/L, though this increase did not achieve statistical significance (P\u0026thinsp;\u0026gt;\u0026thinsp;0.05). At both the medium and highest concentrations, the median lifespan of male Drosophila was prolonged by 10.52%, indicating a plateau effect at therapeutic doses.\u003c/p\u003e\n\u003ctable id=\"Tab1\" border=\"1\"\u003e\u003c/table\u003e\n\u003cp\u003e\u003c/p\u003e\n\u003cp\u003eTo investigate the effects of different capsaicin concentrations on fly longevity in high-sugar medium, we performed two-way ANOVA analysis. The results demonstrated significant differences between males and females (F(1,930)\u0026thinsp;=\u0026thinsp;344.738, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001) and between capsaicin concentrations (F(3,930)\u0026thinsp;=\u0026thinsp;2.871, p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). Importantly, a significant interaction between sex and capsaicin concentration was detected (F(3,930)\u0026thinsp;=\u0026thinsp;3.356, p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) (Table \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e), confirming the sex-dependent nature of capsaicin\u0026apos;s effects under these dietary conditions.\u003c/p\u003e\n\u003cp\u003eTable 1. Effects of capsaicin treatment on lifespan parameters of male and female Drosophila melanogaster fed high-sugar diet analyzed by log-rank test\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eSex\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eConcentration\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eN\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eMean\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eMedian\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eMin\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eMax\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e△Mean\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e△Median\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eLog Rank p value\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003econtrol\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e120\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e25.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.01 \u0026mu;mol/L\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e109\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e26.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e3.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.1658\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e1 \u0026mu;mol/L\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e122\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e24.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e-3.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.3002\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e100 \u0026mu;mol/L\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e120\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e23.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e-10.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e-12.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.0731\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003econtrol\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e113\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e34.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.01 \u0026mu;mol/L\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e115\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e37.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e7.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e5.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.0921\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e1 \u0026mu;mol/L\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e116\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e38.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e11.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e10.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.0220*\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e100 \u0026mu;mol/L\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e115\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e36.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e5.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e10.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.0025*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eAbbreviations: F, female; M, male.\u003c/p\u003e\n\u003cp\u003e*p \u0026lt; 0.05.\u003c/p\u003e\n\u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003cimg 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82fne4DqqfIg14k4igfMZbouEfsiyzXqAy7WWWGg8Gn1CX/aW6tvqb3ykyO9UBj1jH0RyX1vpqA9gEjkM3jOArmP59Q6k4/nToTHc0jSKQ3nyjE/zhnj+RUOlK/S8RnPpAkjreLJqR4KL6E0qofKj/HV9j6yfDK0DxfbF2UHhEdZEUftJJ3i5/rgH/MijcLxz+XRNu4lH8VRWYRTF4j1VXwgXPlJhgpX/iVifVSe/HKZyo/2qizgWnGBfJQXkFZyjP1SKjvXlTixLOLF8FJZMT73pbIh1jnGU3uj7hBX95Iv8VWfHD+jsoXyoCyFyUFJ5goDlatw5IYTkovywUW5lFA8yYE2K0/1VZQZfvGe69gX6kvFyW0oQRqVT/4xv1g3IExtin0CKqtPfsqb+hEWw0tQt9xe0lC2ysepDpRdkoeIcUuU2q/+IF2si/KmTLVVDqQHffKI4Uqr8oB71bfUXvnxCSqTPGJ8XCxHZfCpvHLbzTBF7VVHq1MAxdHAAXWOOgXUUdFJ4eiYUueow2NZUsxIVAZ1fqkOlKfwDPWPbYBcVlbyEiX5RAhTu0vtI30ciKB4fMbriNqby8VPbS4Ngth3OTy3t1R2TB/Bj7gxfWaovNyHxFWe0anNhOf2gfoxxu0re4wssy7l/ESp7JrMJF/F0312Skt5pXwiQzIdCqeuxBGqUwznPjtQ3CzHDHFiGbldXFOOyOHIOIbn+zH1UD+V6KtfKe8cX0hWUU/wi3pUgjSSN6jPVKb6TGVSN+6zUx5cl+oHyqsmK+qb09IetUl1E8pPZef0kl9sH/dRJtzHNKX2Rn2A2J+5DhDl3tf3ZpiF/Y4CWz/Q5HnM6QHH58+fTz5+/Hi4JaT4JS5fvtxdHW0p3b17t82v6fwuZHpKZaqsvvpMg7boqG+NvK0IFy9ebD95RoLji2ZQHh7raJvs9+/f7WcGmfz48aO7O0neVpwXbVnevn177oeuMuhLM9hP6BEPi5bQdi2QbixjZPnXX39N3r17114Dx0l37tzp7vrLfvHiRfssAuGKU4L+pq9ze8c8QLsomkm2uypDOC7XcZk8fvz42LMcnz9/7h1TEc0Z0QEPQYL84rZ2H4xH9GJnZ6e91xi/fv16+wna1kZHmgWt8x3HLHMPaRh7uU909NlHTfdFSR8Yf2MfVh/Sp1mYd+6ete/NAQszFDSRx7OsCAqMIkuJ+hZ8FlKFMzk01uBoJR1Czw5kagvRtDDBwdOnT9vPGsihpOCXLl1qP3nCH3kx6TBhxvO4r1+/dldHXLlypbs6CbLrC58GBhj1oW48nb1omHBLZ5ol0DX+wwRZaiKYlj5Z5smFuslvqGxkg4xkQNSMNfobA/qsKRmvgrFYktMyQX4YUJI9OjzWeNJ/IEUndE+bOBOvzVcZHlKmv6kLBjyLtOYMDGf6l3znmUemeZCacr58+dLdTYe+lPQZDKW8azpcok+fZmXeuXvWvjcL/mVGFjU9rCX0bZgHTFgY6dSSxSlrHRiQfCMT+oZH+lLasbCrQfr4IAsTAIbIvFA3JhHyj5NICS0s8RsS7WdixKBCgVXH+C+N2mlAyWVkEDcvViw8Cmdhz+GLQPnPOlnVwNDK/16qh55qaMIba2DAGFnSB+iHJhiMt0ytbE2qlFPb6aBdhDNx5YfBoo6ORe14/fp1+8lYHDMZol/IXOn1HztKz85KlBPMUr9pQDbogmS/iC8K5KlvkuSnLyNCixttZgxhEKudsS64bCTH+tUWtBrMFdJFof+eoo4l3X/06FFbv/jNmOvc3/jl9CqvNlczH+a8uWf+HMOQPvVRqi/MO3cP9b0ZoFH6Y3AmhLdc0zmH5264RgkOz3vkCBeNAh4LaybJ1p80MR/588k9+SqMuCLWh/TKP+aFy/UmvxIqTy6WleteyiOXG12UA+Q6qc0ihlG2IF6URwyDXM8I6QiP9aQPIaYjPPfjf/7zn2P31CPmI3lkP12rHDFUXpYP95DjqY9iflxnv1iX6Epll2SCi+QwOdWzVjZyq5UH8lM+EOPiIMpZ7a0R46rsUj1qMi+1Jeprli3pcl4xvqDdMQ71ye2KeRMGtb4kfaku8b5UD8hpuRdRTtRJ9YLchuhK4SojtlP+fcT4yoO8c/7qs9zumL/6s6/M2Oc4yhFRHjjJNPvnOqhuMW+1RXnIH6c+iPWttZf00V9ps39JLsRVPXBKa8ZxwlA4bdTJUUnN7DAYGHRmfmqTiSeZ5bNqsi+Vy5ylRcyYTWahRw/GbApsU8YHGQX+8WFbs3jYnmbrOjO0bb0s8rGQYBt8Gc/pGLNydAbDmZC3iLQ1ZWYjbvdpC9fMTtyqlMPPLB++wWfZn+VOWa4LzvOVOS9c4E+j9MYYY4wxJ/DRgzHGGGOq2FAwxhhjTBUbCsYYY4ypYkPBGGOMMVVsKBhjjDGmig0FY4wxxlSxoWCMMcaYKjYUjDHGGFPFhoIxxhhjqthQMMYYY0wVGwrGGGOMqWJDwRhjjDFVbCgYY4wxpooNBWOMMcZUsaFgjDHGmCo2FIwxxhhT5cK/Dd11y4ULF7orY4wxxpw3klngHQVjjDHG1Dmxo2CMMcYYI7yjYIwxxpgqNhSMMcYYU8WGgjHGGGOq2FAwxhhjTBUbCsYYY4ypcsJQ+OOPP9rfUqi5VYa6//33393d8nj16tUxmVBuhDoobJ76kJ6yxkAd+uKqzqtKqX619kcd/e9//9v5GmOMWQr8e2Rme3ubf5n89/v3753Pv+01friXL192vqvDtWvX2ro9efKk81kue3t7veXhf1pyUttr5eGvvltFpqnfvXv3Wv3UNc4YY8zyGH30cPXq1fbXmppFabK1tbVy3+S+ffvW1m1R0L6+b+g3b96cNMbA5NOnT53Pca5cuTJ59uxZd7dchtpOPZrFuLtbPcbW73//+9/k48ePk+vXr7f3u7u7rTPGGLM8pn5G4f379+3nhw8f2s9N5fHjx91VnUePHk2+f//u7e9T4vfv392VMcaY02JqQ4Fv0hC/Sf/zzz+HZ8Y4wTdAnSPHc+UIYfLHkUZwT97xzD+Gg/xLzwKofLm4oOtMX2fjMZxrDAB2TrjOZQpkwTf5bDRR5/v373d3B8Q24Igj/vzzzzZcMiJMdc/xYh4lAyXGqdVbxDqRTqhPSjI9LXL7qcutW7faa2ROmIi6FXeBSIsf4VxLXvKP+hHbH/1xpBeSDXFUbgw3xpiN4+AE4jilZxQizUTdOiBuPKfnmrD4TEPMi2udK3POH8+YdVYNMa3OpMk3lhXDVGeFU57qCLFN+CtvyoR83k0chfWhOkdZxTqCnmdQHMkIKFN1UTif8svtE6X6Ek5ZoHxFlC1QB+UNpM/1Pk1i/UrthyxHoN5ZbkojGcuf9JIjTuHKN+pC1CPlqXhyhOUyjTFm0zhaOQKaTJkESxCmSTYudNHFSVSLF8S8mYxjGjnF5zpOwHECZ1KPCyXExU4LT3bKj7haGIB0Mb8c3gf5Kq4WoxqSl+QHsV2ibwEiLWF99c3pJQ/BdXaxTqdNrl+p/VqoCYv32UmWXJf6kDwJi5Amtz/mr3rkOkAMN8aYTWPqowdt3969e7f95EG6ZvJk1j3mePixxKVLl7qrgy3eZoI9kVbHG338+PGjuypDeLNInMj7wYMHXYzF0Swy7TEFcAyhh+0iOhJ4/vz5zA8WaqubYx/K7KMmf0DukGVDX64Tv379mjTG0ol2vHnzpg1Hzjo+Gjoe4OFToeOFFy9etPkZY8x5ZmpDQQ/5PX36tP1kAt7f32+vx8DkDixkuC9fvrT3s9C3sDHxf/78ubtbLjzUCJx9swjnRZpzc+rKojPGCCqhZxjIo88IEDIGSkaL0svoW1cwOvkviBr8NwXywhj9/v37secQMhiWMiZ4FoI0/o8KY4yZwlBg4eFbFhMuk6gWGwyH/O+SLIxaqCA+7Be/UbPAvn379vCBNYgPnfWh/zjQw2uk4Z78WFR5mJBFJD7cRpxY1hhIM1QfPdT48OHD6n9LUDcxqwETDaPSv2XGfJEBuw41o4IwPRwozvLhxVmQ3LMBoHZo4WcXCZ3NSBfQVfQG3RQ/f/5sP8foojHGbDTNN65jcE6Ld8nVzrA5B47xuIdmcWzvOf9VGNeRZgI/DFO40smRX6yXzuZjWvyIE/PPZ9hKF/2Ij7/u1UbVWWmGUF1qKH+c8saV2pXbT97ZT3nEPol5qQ8g94+I7cYhL5DcoiyXSa5fqf1RZrjYL9EfJ3Iaob6K4fiJWB/KkVyjfHHKRy7K3BhjNoUL/GkmuaXAN7Vmcm2fYZh1y92YRcNOArs/S1R9Y4zZGKZ+RsEYY4wx54elGQqc7bKbAJyFT/tsgDHLgGdW2E0AnrmJz9IYY4w5yVKPHowxxhiz3vjowRhjjDFVbCgYY4wxpooNBWOMMcZUsaFgjDHGmCo2FIwxxhhTxYaCMcYYY6rYUDgn8DsW/G5Anzvt9xrwToZYPu9soA7RD8dvHfDehugX3+GRiXFpN87vbDDGmNmwoXBO4CVHL8Nrt/kxrCdPnhzec603e54WvA76e/eyLH7mm7c18lPf1OfevXuH9ePFVrwQa7t7sRN+vBmyBMaG3rKJ4+2k+oElY4wx02ND4RxRW1xBrw1fZ9h54I2h8S2QGCMYSMYYY2bDhsI5oc9IAL618zrmdUav1H7x4kX7KWi7X0pmjDGzYUPBHJKfD9B7ENjO517PBejsX/4xLnAtf9xpPh/A7gG7CpSb3y8S66UwPc/A8xJC4fEZCqD9us95G2PMpmJDwRyi5wOA5wH0DZ2tfBZgvplr0eTcH3/i87zD3bt3W38WY671jAD58FKwaEgsE+rI8w5AHamvDBXao/YJnn3geQgR23f79u3D+PLnnmcn4vGGMcZsMjYUzAkwCuJC+OHDh8OjCy2cGADazn///n37UCIL8s7OTnvNworTg4Rfv35tP08DGTx6NmGat5fG9ukoRg9WSgZXrlxpP40x5jxgQ8GcgAWRxX7s4nrx4sXuajL58eNHu0Cz4EZ3Ws8/xCME2qGFH2PGGGPM9NhQMEW0q4Cx8OjRo863zO/fv9tPDAa+bX/+/Lm9Pws+ffrUXR1BWzhiMMYYMz02FEwR7SpgLJT+YyB+Q+e/DNia5xmA+/fvtw8Txh9E4kjitB7+o848ZBnZ2tqa/PXXX93dAfyuBFA36vv27dtjuxHGGGM6/jXniu3tbfbij7lmce1Cj9N8E2/jZ0jTGAaH6e/du9eFHLC3t3cYVgoXMQ/Fy2lx1O/atWvH/KhbCfxzHjku9wqjTBx1oZycLpareDGOMcZsOhf400x4xpyAb9j8YFGGhxTjw37GGGM2Fx89mCKn9e+MxhhjVhvvKJhj8ANEnPPz2wj5AUCMB/zFy5cHv61gjDFmc7GhYIwxxpgqPnowxhhjTBUbCsYYY4ypYkPBGGOMMVVsKBhjjDGmig0FY4wxxlSxoWCMMcaYKjYUjDHGGFNltKHAi3b46V4cL/w5zRf9mNUDHZA+lF6mhH4oHAd+6dLpgtzjy7lE7Jez+gVOyh1bj6hr/CDYaYPeqnyuqWtJrqaMZFdzm0xJz/M8yNqaX2S3aowyFGgYv9LHbzPp95lu3brVfprzBwYir5JGF3jnA29ejBM91+gHYdIZBknpFdBmOdQmYBbavb29tk/4lc3Xr193IacLbxqlDrx1FPrq8e7du/YTfTrt14VjEKDf0uPbt28f+3VSMwxy41dcdR2d+n9TQVdou9p79+7dVp8iu7u7rVtlRhkKNIxXCQt+tpdBa84nvGL6zp077TUvhmIAMPGLnZ2ddoDEl0YR5yy+DZ5XkHeGXR5+nluvDWfRLb3067RhscjGpsAoPUu9wUjRIgfoNIaWWQyroH/LQjvu8WfuGXP37t3r7taHUYYCk/7z58+7uwMYMH574Plk6Fvd5cuX2wUpH02tutW86fz69au7Wi2ePn3afpZ2FTBK89xzmmCkbG1tdXcHYGj5HSfzs+nHN5cuXWo/czvXcR4cZSiwm8DEz3ZmX+cyqHQWE89c5Ke0et4hxiEt4YrLtx+I54P5m0WMf5bfOjaNKHOc0HMH6AKTJ9el51QwIDEuHz58eCx9hrQqgzLpT8qI/QrxeQfpRT77i/2v+MpHYTmN8gK1mU/cOhLbR9sjjDX6AwhftfGiXYWI+ufixYvtZ0ZtxUU9jPqDi7Kgb5FF1Kksq4iMFOL16YXmNBx5a25DzjEtn9xH+Y+pr/JXWBw7uHUjjr1NBYOS3QPNlaUdM0AXsm7FvpXr07+l8+9ImsWBvcxDt7293YUc0CwMx/yI0wipuzsIf/nyZXf377/NxHAYTpjyjcQ4QLjy4DPmR7wY18wGMscJZJr7JfdlDfJRv5Imgq7EfMmP+729vfY+h0v/FE69VE+FkYZwrnGxHcSJdVD++JNGcXO560KWj+QZ+2kV24bcqbvqH+tLGHVWGNcitkN9zmdNDkB+XOM0V8TwPpQOF+sIURcBPYu6lsNJr/Cx9VU4IIeYH9d5fK0aald0WY6bSm57hH7DL+uP7kvj4iwYHiEJTTax8vhlRY2DFwiPjUUQGqyQwyUgPktIwNmZ2anJHL/YN7mvhoh9JfCLE3/WF+mZUN3ihAlKh1N+8ovtoL6KFx1pctnrCOMpTjZAm2I/ZZmuAtRZ/cS16ocfOqJr9RWoHdllnVR+OIFfnHemkUnUNclafhHCVHfoMxQiY+oL3CtedFHfVw2NP4Hccn9tOrHfYl+hC1E/CJeuQ9afs2D0fz0ItpWbdO3Wsp5G/vnzZ/sZ0XbhrOeiv3//7q7KNIJuHXWJzsxOTeb09Y8fP7q7YdgWjVuLPNPQKH57rS1i+m4etHXMsdiYfqf+zcR0Ql/QZ20R8p8aZ77FNyO1bc114tGjR+0n2+s8EPvXX3+19xnmm2biPNGXem6A/qMf+Q8F6d2sRF1ATygHXdExySKe+5i2voynZqE90f74QPGqowdqNxnmqHgkxrMJ9Bug3zXQbZ7NER8/fmx14ywZZSiU/q1Nzy0IrkuTlR7omBYZGn2L19evX7s7s0hKcr1y5Up3NY79/f3u6gA9t1AyKmdB/3459sEg6s+/dNYgHyZbBimLQN+59aqy7saCDDa+gHCuW3tgkIdla/9qy8RM/9GXi3jYGplmueq5hUXIe5b6cqadx9c6ch4eCP3y5Ut3dYB0vO+LF/8JgnGA8YhjTlqELs/DKEMB8sNPDBYaAOpw/kdUYDEhkGg5SjgMMAYHwtBDPxmsY33Li8jC59sGD2fFwbqO3wRXCSlxlCtWMUbgtIOaiT5a01yTz/3799t7lSNqD6ypHnoiHn3QboWMjrh7UYNy0bdoAMji51O6wyCVXq8Tjx8/btsnmeuTflgno4d5BT3p6wMmTeLE8Y6exHZKb/JEPQsYuBG+JKG/zFHXr19v/WJdSkZ1nKfoE+of59Rp6ktfk0fUe9oeyzCrQf7SQZ8xTrV7VoI1Ef3QTtFK/AtpU5FBOEtqKn54voJrBnIXekQMbwZS53sAZy4KawbesbO3mC7nS5wYTj0EcWMYZZj5yTIX8YxWLvaHoB/wz/2T46IHMRxHGSKG64xT4brHUV/FzXnG/HL9pX/4x7rKf92IMlF78IPcp3mcnTZ98wl1la5kHaJ/IaeXP0QdiOmjP9dRXrisnyD5xXhZP7Je4WJ9cjh5zlLfSK676rmKxHquel0XCf2Oy32Fn8h9n/2iUzrCsz4smwv8aSphzJmCpc1uQTMYzsX5pdlc2F3gaGTo90aMKcEORGkHt+Z/Gow+ejDGGGPM8sAYKD1Lhf+NGze6u9PHhoI5c7SbAPEZBGPWDXYTOJf+np5BMGYM2jHQg4xycJY7rT56MMYYY0yVE4aCrBdjjDHGnD/y/oGPHowxxhhTxUcPxhhjjKniHQVjjDHGVLGhYIwxxpgqNhSMMcYYU8WGgjHGGGOq2FAwxhhjTJWpDAXeSBd/LYpfIeONZfHNaesOP5Xp35IoQz+r72tv/YxxcPlXFvvCuY5hJRRHb0cci/LMutqXn3QB51/ZKyP5RFfTjbOGPoz1jDCPyb80n0VdyGkjymfMmxz76gMqsy+vOGamHRPLIK8RtEHk8T0ko5xXJssPVxqn+Jf6dB1hbKmtJeYNrzHaUKAAXgvMT5PyH5W427dvn3gF6zqDUvP6VnMSZEN/q+/zK5uBgc8rdhUHF392tC+cSYSfb5Z+vXz58oQyM9j1U89j0WRLfuQbX9nal58mXdUz/yRvnKRWYYI+C2h3nA9wyPnOnTtdjNWBur5///5YXQV6yTymtkBcWEirV0MTvr29XVyQYOyC1FcfIP+huYg5Gf3lRWqk5/XbZw2vyY5t0k8SI2Nezy3/e/futTKvGQvMBzEv4tNeQXiWH/1y9+7dLsaBjKddEFcZ2s/Yoq30eW7bvOG9NIkG0Wsym4HS+RzBK4Xza1fPGl7XWarrGNRWc5wsT2Ss16KKfJ/pCycM2Ud4lWr2ox70z5hXiqsvm0HR+Zykll/pvjQG8B9q96ZSkmt8RfQqMaR7MVw6oXYQFuc4hWfQhb65MjJGZ2o6B9SnVIezhPrWxhphEckw+4vcZuLFVyuXykGmJX/SjZH3KkO7cn+jA5of5w0fYtSOApZtk+nk6tWrnc8RWLEl/7MCS5OXspjFkvuYbwJPnz7t7g7ukTtWarT8xVA4r+XN8O2g9Ca1MVAeettMMDO9TCV/O7t06VJ3dQTtYJftvJLlisx5tfIqzQfAN0vpXt4FA3SP3TJB/fm2+/Xr1/aeXTB20CKEZ/gGPOYNf0P1GYL01KdZTDuf1eD58+ftDkfpm2oeT0M6ksN//vzZ7kiI0phGprOM9XVgf3+/XYMj7A5ofpw3fIhBQ4GFF8i0RtzOZbJAUeTiQFCYtoNxwITLlp22cxkIEOPlrb4YhgPSaSuZgRwXpLhVnAcnZcd8TD/Ii0khD+bG8GwdiwWylO6IofBZjYISOzs77ScTjPp27LZwDXRKbSY/ZIAhYg5A5n/99Vd3tzpcv3691TsWVoxH+k4wJ+FfMgTRHdD2ueYgDFh0OMJcE+fBPvrqMwa23Jn047ylOfMsweCiXc2397ZOeZ4tgSyGUNv6jlaIQ7mbCnNjybiSHs4bPsSgofDr16/uahgGHZMpAwCF2dvbawcCCqMwoNKE4xhgWMdYg1I0FEJKpngMUi38hL179+4wjHwZNKSjTKAOu7u77TVplbcGp5SPdNRNeRFm6jAB0FcYZHEiiEqI8jFoHz9+3PkMh7PAoAfReKBfZgUdkwVNv7KgU+9ZJ9QPHz60E3QEGWAszJPvJoHM79+/392tDtI9PuN8MQ3MGzj0P+9+0ffowVjmrY92NyiT9IwldrbmGS+LQO3CYGK8MZfW6oTMXr58eZimBnM+bSOv+MUvw27Oo0ePujuzcBpF64WzIaKNOctoFPbEWRDpVEwz0NprzksizYR+Il0zeNq42QGfOQ+hsxjKivfZUZ7qo7gQ62vKSG5DcsqyzeRw+kT5ymW9U9noZR/oT06LnuEiY/JDh7J+muMgR2S+DtCfqqv6P88nWX+4RkfQnxw/6obmm6jXQ8T6RDT3xrxq9cUv6/tZg6xq42paXSF+qd2CsBqkXffxW1oj6W/Jcd7wIQZ3FLQ19OPHj/azj5L1ePny5fZzWmu3GRCta+p4zE2bDzsijZBO5IPV+/v37y6WmQa+BTQDtrurg9z7yOH0ifqnmWBaP237LoKhby81OBsdu618XlnVY4cS8RwbnWgmyxM7p8w9mrv49stuCTuW7FI2E2y7m8RcRBg7SjoCiEefY3cJFnGuTnmrRu24mp2BsVveoi8+fdAsgt3dZoIs89rHmqzjsHnDhxg0FBhIdAKDobZIxy2hvC0npp2kUXw9TBRRPmOPRDh7zA8iZWwwTM/FixcHJycGd1+/94Wz3ShjYRZqD0JOq4cMJB1hmTrIesyDfKsAx1vx3+i4ZutaaJ7TmThHTlFvMF41PxEnfgGRAY2hMda4zPXpg3pQNg+nZWTYrAroRH4GAeNpmmOaCO1m3snQd/Fh1E2EsZXXMfRUx7fzhg/SKPcomk4qbv3gLz8+iRO3ONjy0JZYbdusti1CXNIIxeGzFqY6EKZyqSNlRBSfMJxQO3GmDvKsbSsC4bmfI7Vwbbeq7zLSob6yRYyndFFnoC8/dCHHz3pkDmQYx9CqQ39Hsm7Qx1H/8lyU40fi/DOWXB+hsZDzymUQb9Xkj8zyGGbOzeNs7HgiL83ZmZr8BLKppV0nol6W+nze8D6mWg0RNp0SXU2J5VSx7C+FobLyy0qTy4tKlsPiolOKH+PiItFf+ZrjxH7CRXlDX3/ANOE10KWYR9QX+hq/2OfoZoyfdbUvv+gfXa63KS8Kq0TW3RL0q8LRxUzW36xLQvnEcKWV35j6oIsxTpav9B03zYS/LGJ9SvXN7cnxNFYl+yzvmn5Rbqm/IPap3Lqguud2R90pMW94jQv8aRIZY4wxxpxg1A8uGWOMMeZ8YkPBGGOMMVVsKBhjjDGmig0FY4wxxlSxoWCMMcaYKjYUjDHGGFPFhoIxxhhjqthQMMYYY0wVGwrGGGOMqWJDwRhjjDFVBg0F3p6nV6jyOs8avAFN8XC1N032Qf7TpCXuq1evujtjjDHGLJpBQ4FXAW93r/vtez3ohw8f2s8nT57wtompX+eLkcCrhceCkWCMMcaY5TL66AED4Pv378VdBXYAPn361L4vfFZ4r7sMkjH4XVbGGGPM8hltKNy+fXty79694q7Czs7O5MWLF92dMcYYYzaFqR5mfPz4cburwPMIka2trXZHoATPEOi5hdLzBzH858+fne8Rf//992H4n3/+2fkaY4wx5jSYylDAGOB4Ie4ecBTBsUQJjIDPnz+3xwQ44pFexgLh7969OwznOoKRwE6GwnleAj9jjDHGnA5TGQqAkfDx48fDXQWOIp4+fdpeZ9hpiEcVb968aQ2F169ft/eEv3//vr2GfHzx9u3b9gFH7Siwm8GzEMYYY4w5HaY2FHTEwKKOscC/T5b+w6H2L47EJ6wWLhSu3YS4q2CMMcaY02FqQwFevnzZ7irwzELfv0zC/v5+d3VENCx+/frVXR1HcfLzEMYYY4w5PWYyFJ49e9ZdTSY3b97sro7DQs8zCRwvaLFnlwADg6MKwvkvivjbCTqG0HMMpL9161brJ/yMgjHGGHOK/DtAs2jzgwWt41q8fPny3+3t7faaT8WR+/79exvWLPZFfxHzV9wYpzEmDsNxe3t7rX/0oy7GGGOMWTwX+NMstsYYY4wxJ5jp6MEYY4wx5wMbCsYYY4ypYkPBGGOMMVVsKBhjjDGmig0FY4wxxlSxoWCMMcaYKjYUjDHGGFPFhoIxxhhjqthQMMYYY0yVQUPh1atXh695xvH2R3N+yP2fieF//vln53vAP//8cyytHP6iLz3wzg+F973nQ/H01tE+0GHliYtQB/nXylOdx5R1HpDskcuysB6eZBl6qDJx+YV83MfwvnKpc6neMf00+lLKL/driRxnmjJXkagXJeYNr9L+kPMIiKp3O5jzgd7hoXdvcJ/f9xHveS8HTpTewUF85TeUnnixfN4Fgiuhd4LE94SUoA16X0iGvBXGJ/nl8uK7SYbKOg/Qh5LHst65Yj08HT0kL+oFKlf1oIwok7529tU5+nGv8voo5YdfvM99JnId1hnaJ12WTCLzhvexVEOh1HGrwirXbVVgkEU5MSlE5WKgo3BC4fKLYZAnm6H0lB8HusL5jKCXDIBSWKZv4sj6TVzqmCHemLLOE8hDk9CisR4uXw/JK8+JUe65TpJB9gelK8ksypnwMTpTyy9CPbKM8Mt9v67QDuQXQSZ9C/804UMs7RkFtnx4pfQqssp1WyWuXLlyQk7NYGw/2XZsBmt7LXh1OOH7+/vtfX4F+c7OzuTOnTvt9Zj0nz59mty+fbu9BoV//fq18zngy5cvkxs3bnR3dej3t2/ftttupS3IBw8edFcH0H5z9lgPl6+H1D1DmyX3XCdkUIL2PH36tLs7QvElU3H58uXuqsxQfuLnz5+TFy9edHcHPH/+fHLr1q3pt9lXEOTWLOzd3QHo8OfPn9vrecOHmNlQ0NkP8InT2R6d+/Dhw/Yaf50tMSgVFxfPwDivI10OI6388vMRMUxlg+oWyxuqmznJs2fP2k/J/e7du5Nv37611yIP/D7evXs3uX//fnd3QC29JvBLly51PkcwKQj69c2bN91dP9evX8ekbvPd2tpq+38I2mzOFuvh6ejhLF+eaIvQnF0zIppvr217mZ9xGEDZAIkM5SfIC3JeGHjI+cmTJ62MmfvXFRb0khw0DuYNH2ImQ4GOiYstnbG3t9cqGp3LwN7e3m7DCWMAMeBQdu5xhGPt4c8EoEGjcL4FsIgTLj/iqLMJw+JVGA3GL9ZN5alupC3VzdRB5jj6mYEnUDosVPosQtwS6mcp67TpS9DXfGsYSyybvudbYZ+hyIJi/VgNrIfL1cNHjx61n3ExjYZQhjaz8Kst8OHDh0OjrgRhLNrMz+xg9MWFofwAA4386L/4ZRFUN2THnE8c+t9Mz0yGApZbXGzh4sWL7WcNtvs00HFazNm+Y5FnsKB4gg5ley4OEMqS4hBGHsqPvJlAYt1kLWF0oKAMODMd9BvyZDKlj+Iu0O7ubuunPsBBafs1bveKadKXYLLJ28rT8P79+2OLToQJM29lmrPDerhcqL8WU8mAa+RdAsMoLuLUs3REkKGdfHFj/s4Le2RsfvSdjC19US3BukBb8nGRGcfSnlHI/PjxozUE6NToaltPv3//7q5OIqsw59W3jeLz5unhWwNbVvQRA5L+0y6QQOaSP8YYg7E0aZa2e6GWnm8DDP5fv351MQ/AIORck7rpnBdHvYA0fd/OIrXJXZNNTTfN6WI9PB09pBzJQDsqpZ0SFvg81yJX2iw5sGhLLuondnIwimgvZRCnJqMx+UVyfUpkA3GdoO653aypOo6bN3yQpsNGQdTG4uzujp64FY1itfc8XQk5vBnc7VOWNRqlOPYEZs4v0xeWy4Zm8B+WXwo3J0FeyC1CP0U9EPQFMqXfMviRro9SesqO5UsnSvSVX4M0uX2k79NTkP5MU9amgzzi+F0k1sMyy9TDkswBP+o7RE5fkgv1H+oPUatPhLz6ZEEey5DVaSD5RWiPxsC84UOUtb0AhcRMuY4F0wHcS4liOBOIwuNkQlzlSSfniYaGxDJAysJnLUxlK++hupkyyAY5aXBJjroX6gvJN0M+fXKupc/loQ+1fEhbqlsfxI+QNk9c5JvLlP5MU9amgzz6+ngeyDfKm8+S/K2H86O20sYM8tGcKkrxAH/iR8g3+nGd49Qo5RdBNkPhfX2/DkS9ox+yjswb3sdxDS1AxnSwHJlnPylsvJfC4TTwNIjkqDhEv9zZxInhcVDkMJWj+pCXwvATpbqZMlGGuCh/dAE/9WMN4sV0Ykz6qDN9E4HixXJUd/mpPLlI1s3oIlnnNPDOK3nsI+NlYD1crh7GfqQOmVyeXK1c4mc50f6YNoYrrCbbnJ9kKpfrkfVy3cap9CDXO+pOiXnDa1zgT5Noo+DckAcdN7BpxhhjzKlyag8zGmOMMWb92DhDgX+r0b9e1p6QNcYYY8w4NvLowRhjjDGLwUcPxhhjjKliQ8EYY4wxVWwoGGOMMaaKDQVjjDHGVLGhYIwxxpgqNhSMMcYYU2W0ocAbw/QmL36rgDeb8QuI5nzD28eiXmSGwgW/d0Gc2u9eoG/KJ+odecq/77W1mVp+qgeu9Ga7OA7Gvh1w05HM+vp32VgPlw/1U5m4PqhTX72GwiH2mRx+Ykx9YvhZ6ueiiP1eYt7wKvyOwhD8rja/ES34/WmSxvcnmPMHv7+u36/Xb5PH34kfCo/ot+QVP6KwnBY9jHpJPNwQtfz0e/OqA3qff19eadSeGH4e0VyAO6vf06c/rYfL1UPKiWX0tXGoTmPqTBxchPVGacbUhz6Jcbhf5zWL9mmMSYaRecP7GBWTDLOAubehcL7Jk2keiEPhAj8UGD3LaVDumkKTX5xMNMFGv0xffkwqcWJRfqpTrjtxqYM5mCM0CZ02Q3o2FC6sh3WyPKhDrUzqQ/tiGyJD4VCSHfHlP1SfUh+Q/qx0dF5oR9YXZNi38E8TPsSoo4emAybPnz/v7g548OBB68z55erVq93VEVEnhsLFly9fJjdu3OjujmBr8ePHj5Nm0Hc+R7A1m/0pD13d39/vfI7Tlx98+vRpcvv27e7uKL+vX7+297nuV65c6a7MWWI9XL4eZhn+/Plz8uLFi+7uCLb3nz592t2dZChc3Lx5s7s64u3bt4f+Q/VReO6Dy5cvd1frBe1oFvbu7oA7d+5MPn/+3F7PGz7EKEOBDkCpOdfoO+fR2QeOwQDxnAk/zqVyHLP+0M/fvn3r7k5SC+fM7M2bN93dcd6/f98qd5/O1CbjEn35acK/dOlSex9hEqpx9+7d7sqsAtbD5aO6ZoOF5y0gL+JiKLwPynzy5El3d5xafZpvy5Otra02HIdBVTIQ1wEW9JLcpMvzhg8xylBAuLJ+EXxpoOD378FRxmRvb699MROKQUXUwdevX287C+uYeOvaaeYIPYwlQ1KTgegLR4fyTlWEb11AHPQFPUKvmExReiZb9DEiPS3Rl98svHv3rrq4mNPFeng6eohBRV1pL9eRDx8+TJ49e9bdnWQovA92ex49etTdHdFXH8qSbEk/a9lmiv96YECg1Nvb2+09wtfugowGBiDu1q1b7b2sbJSYwYSBgGUz1ooxqw9bgVEv8nZkXziDt7TFCJo0mUwVR5Phzs5O+7m7u9vqlPQOB6Xt4zH5TQO6X9p6NWeD9fB0oK3IkfZi8MjgGjpSGAofIh47RGr1ERzj8MWV9NmQMOMZZSiwRSbYBVDHYMkCW2JYbvhHFy04DQZZ02azQC/Y6quRwzEuGbyaWGVcoldR3zKERzA6pW/oIAZpbdIvofwwhLn+9etXey/4ZpjPNTUZeUds9bAeng75yx5rAfWWHJnnJVeMo6HwPugjZNpH6csnx0wc89AP9Atl9vXpKsPzBFlOP378aNsI84YPMcpQwCrLYMVqew0FLsWJcIZGfAbQ2MqZ9QI9YKKrEcOZ3DSx4rD6AR3BqNSEWTr7zRMmMGky8cggzYzJDx3l26XQwIoTMX7ovrcxVxfr4elAOy5evNheR0MJxzyvL4+0eSi8D2QRH+6sEetDP9CHugd2k4bWqVWF3an8JRsdePz4cXs9b/ggTUcN0nTAiX+F4b7p6O6u6e0mq3jfdNLhv140SnHs31lK+Zn1Bx2I/ZzpC9e/78Tw7NcM9KLeoHfEI34fQ/nhH8PRW+kw4J/LJ88Y57yC3FZFDrEPS/SFWw/HQVlxvs9Q53nCI8hiiFJ9SBf9uB5b5ioS9aCkg/OG9zHKUCBzKa9cFngOVyWoHPd8AnnFeGY9yf2d+3IoPFOaoAGFVvqs2NzjL93KoKM5z778QPXARR2P/tmdZ6I8cdNMPovAenjklonaIKcFpwayiPXO5HD1U06DnEr5jKlP7vu++qwa6ufcLukarsS84TUu8KdJZIwxxhhzgtH/9WCMMcaY84cNBWOMMcZUsaFgjDHGmCo2FIwxxhhTxYaCMcYYY6rYUDDGGGNMFRsKxhhjjKliQ8EYY4wxVWwoGGOMMaaKDQVjjDHGVBk0FHjTo14NWnJ6s9mi4d3hfn/45sN76qM+ZaL+EbcGb4tTPF5LWwOdUrzSK2fR575wyGPiPBP7b53fCtunF+iTwqKLejakx5Ex+Y3R+3XTwzhGcWPWjhg/yyG3H1fSQfzX9fXSmainmTFjMetp31x5jPaNDwPoBSb5RSl6WdSi4YUhlFd7yYrZDLJecR9fkEP/K0wvSeEzI30phUV4KYziKL/4ohi9REZlEpZfJEMdh8o5LyCL+NIa+m6dXrwjhvSi9MIh2hr1NupN1uPMUH5j9H7d9JD2xPlcY1btLJH1iXvaDbS9JJMYX/2S+3NdQWbSHemFoK1jxuKscpjLUFgmCCUqltk8UNrYx+hXVP6sb3GiEJpwxpDTUj55Cu7jQFJ9Yj1mHWibSO4fJqp1HLNDepEXJNod20n8Pj3ODOWX5VrS+3XTw1x/ySj7C4VHWdHmuFBmCC/51xbNdYJ2ZZ1CZySPrDOlsYhfjjeWmZ9RqG2HGTOWK1euTD5+/NjdHdAM6u5qMrl69Wp3dcSDBw+6q4MtXNI3yt/59BPTAuVHPn36NLl9+3Z3d1A+9fn69Wt7T3lv375tt+ys/yf758ePH5Pnz593d+vDkF7cvHmzuzpgZ2dncufOne5uWI8zQ/mN0ft108Ms41IbIwrf399vP8Xly5fbzyxDQCYl/00AOTQLf3d3ADrz+fPn9nrMWNza2mr1snYs0cdMhgJnS1QkE8+MSs8XjA0vhZnN49mzZ+2nFPfu3buTb9++tdcZ4uSw9+/ft4OH80fp1egztw7KBHQag+PSpUvtfeTnz5/t5/Xr1zHp23gMOsozB7BgYWRtykQtvSjx7t27yf3797u76fS4RM4vUtL7TdJD2lKj+Qbcto8xjcMgywaHIPzJkyfd3eaBQVAyrkp6VhqLzG/oDE7r7FRzZZNwELaHiBpd3spheyduIxEnbn2MCY/bSjncbCZshUmnuM5IF+Ti1iL36Ij80MlaPiXQOaF6xPwh6mWGsHXf0lwEyEH9swnyiHqRQU9K89KQHteo5den95l11EPWgtq4imhMD7WP8JqMNmGcoiO5Dcgv6+rYsUha4oxlKkNBA4DPWAnCc4Wl6HzOEo5gSgPIbBYoLP1PX0sfSkgHpROamHN8/MZMQCpX1PJDL2v5ETfr7XkG+eE0T6wjWS8yhJf0QemG9DhTy09kvS+xjno4tr7Eo31DMiC8BnmcF0NBIA9c31iUbMcw09EDWyDxHE9bs5GLFy+2n79+/Zop3Gw+bH2xpcZ24u7ubrvVeOvWreK/TRGH8CEa5e+u6vBvWhC3MdFp0qKPkWagHZ6LZjb1PHRWkNU6U9KLTOmYYBo9zvQdO8AYvV83PeRoeczRDFvkHC/Svmatap8DKf2b46YfOwDPI2R94vhfx12ZMWOx73gtM/PDjDqXE1SsNDB05jsm3JwvmATiuRs6xWKthwczLNiKr4U9P+wEtYUd0MEXL16c0F9g4Hz58qW7O4gLtYWDhWWawbbpxL5ZN/r0Qkgfcvum1WNRyy8T9b7EOukhC/2YB15pE2uCvlDC9vZ2+8BxhjEbH0LeRG7cuHHigVn05/Hjx93dcaQvfXqDLEcbmQcbC/1o+6vpuM7nJIQ3g6O7O9gWiVtFfeHkS7i2VnSP69tuMusNOkAfS6/U7zU9y2HakpQfehp1LEO8HE4e1ANy+eiewkoQ1xzB+O2T16oypBeC+1L78It6k/WoRi2/zFBe66KH6AdjNNI3v9OuuN3OdbwXQ+2nb0vp1o04Hw3NdbS3T7cIz33Rx6CGURk6Qq5P4DFeSQH6wjXp4yiT8D4lMpsB+hT1Ik+20ZWQEYvLA0d5k1fUr+wiMV7W9TwWzjuMzyiPaSaeVWGsXgD9X1uwa3oMUQ8jpfy4j/ngMuuoh1lX5LSYqd1xzGVZ5PEI6FzJH0p9uy6o7nmxj30fGRqL5NMXPsQF/jQJjTHGGGNOMPMzCsYYY4zZfGwoGGOMMaaKDQVjjDHGVLGhYIwxxpgqNhSMMcYYU8WGgjHGGGOq2FAwxhhjTBUbCsYYY4ypYkPBGGOMMVVGGwq88evChQute/XqVfvSDt7atUx4gUjpbWER3p6lepWcXryyaJAHzswHuqS+yvJEv2JfyknvhsL7QH9r8VWnku7E+uLOO1EetTfZrQNxHqFNmTj/1eakPBf10adHY/R6qL6rSG7XEGPi5zg1Waj/1llHIephCeasmhwUJhf1aYhRhgIDg9eC8mvP+sVnXqO6LOhMyuSNYLzOmutaB1Ov7e3t9vr79++HdcS9HPFa4lmgs/KbvMz0oMy8ZjfqVTQWeP147E/ctWvXJtevXx8VXoMy0N+9vb02TXw7JHq2tbXV3R2HgUWY9Ay9W/eJZx400Uj2MGTYryLoA2/Sow3oBH2MISloE288VPjbt29PtBNZ8BZJyULyKDGkR0N6PVTfVYT68ZZHtefevXvHxnpmbPwYB5ff/qkvBED4mNdbryq0n9dN0w76Xe0SzKfoSQ3CWBMlq4cPH47XmybBIETLL5HgPvstkqZRh26omtSDOLxE5LTgJRw4Mzv0baPw3d3RS2DkF8OA8CjzofAShM+qT7x8Juav+p5Xsnx48cw6joncDvQyzm15nkMPiBOpvZioxJAeDen1UH1XkVxn6ptlGBkTH78sqwhhyDW/WGkdUVsi6ESpbaU2K32UK+nH6s2oHYWmg068Q5xvYbX39C+CpkGHbhbWZTvuvMI2WO5b3p2Oru3v77f3+V3pOzs7rUUthsIzfJNjJ2hWnWJ3K+8kUd/zSn7X/Y8fP07ME+tA6Z39cW7L8xx6EEGv2GXgG96YeWdIj4b0eqi+q0iuM7smL1686O5OMiY+usbOYP5mLR4/fjxpjLITuwzrCHNis7B3dwegE58/f+7u+rl48WL7+fXr1/ZTXLp0qbvqZ5ShQAcxuQ4NBMLltC3Jllr0Y8sux8mQhg5mmwTH9TRbvCxCTFqZWJfSNtbY8L4tMzMdMgrGwDHF/fv3u7uTDIWzNcxgG6ODJTThSBfv3r271luZi4R5gaPCvMitG/TtmD6l7wVHAs2XrnaO5BgAvepjWj3q0+ux9V0lNObGGje1+Dp+YX1A5nFtYkud/sAo01iXvNcRDIKSgTi270mLnHTcgKwwpEaP13ZfYQSN0NutC7m8ZRGz0jaHtoWaCrb35MGWSN5CqkE63BDURfWSy+koM9aZOHE7b0y4tnPUvhhupgf5IccI93nbDNCdPnkPhYP6rKSXEelT9gf8CKuFn0cYG5LJmPG6imhMy0lHSgzNX4QPyWGsHhFW0utp6rtKaMzjhsYrjI2fxyxzCPeaSyTvddVP2p7rXltLY7szkmctvMZoQ0HERVmFRb/oYmVUwb7OnpWsJHxGoRKeBaqBxucs4bRjGW05byBX5BxdadJDl/qUeyhcE0XOG7+cLutThLiES59LdT2vII+a3NYF9X1tbKv/+0AnShN4ZKweES/rZ2SovquKxv3Y8TMmPjJQ3zD/Z5kgR/JYR2jLvIYC41IyIs40RtPo/3oQbP806dozNbbEgPOjptDWP7p4NvTmzZv28zT+W4BtlniOSP0yOrP59evXTOFmMbB1Jn1BhxpFLm6HzXvsUAM9HgtboGwBMgZ2d3fbYzHOSEv/RnkeaSai7mp9oW/p1xJ6Qnxoy3xoO3caPRrS6776rjLTHpeMid/3fBJcvny5u1o/aFvWD47XpzlOYa5jHUZnGKs8VzPmmRoYZShwFpTRcwtAB5TiRDiHIz4LwWmcFeUHWCi7NBD1MMeYcLM8mIRRXBmUEfVL6YwOhsKBMAZK6ZmIsRMIzzjEMtAx8swPCJ1XJJu+flgH0IfcBnSMOS/PKyXQ5fgMQ2asHo3RayjVdx2gzfpCNoah+Bhf+hdSnpcpfSklj3Xkxo0bJ9qDfvCcwRj0nIf0hE8MzLEPQ/JNbpBGuCe2OLiPWxdkFe+bhfVw+4PtDu5FKb950FZKLCNDeCyTulEv0RdOvrF9usfFPMxsIFdkOev261C4IH/KkZ6gNyU9rOkTZUR/6UGOd16hH8f0w6qT+5TrrCfoUq2tpO9jrB4Rb4w811EHaVdcL4YYil+SFXNzTEMf6mhiHaE9amNt7gL0IctCOhb9Y35DjDIUyEwFyeVOy+FqBJXhXgsqecV480I5Mb8+ZYrxVJ9IX7gWGRxlEl7Kw4xHfTckR+L1TYS1cHSB/GOYjAD1Y4a6KByXB5LylOur16aTZbWOk3Cet3CROO6zE9Lj7C9KejhGj0p6PVTfVSW3N48rtYt4MBQ/juNSuIh9s076Kb3L7YrtyWSZ5Pkt63JNZiUu8KdJZIwxxhhzglHPKBhjjDHmfGJDwRhjjDFVbCgYY4wxpooNBWOMMcZUsaFgjDHGmCo2FIwxxhhTxYaCMcYYY6rYUDDGGGNMFRsKxhhjjKkyaCjwAqcLFy5U3di3T5nNhP6P+pCJ4X/++Wfne5ysYxnloZfklCBsKA7Eskq6O017SuHrhuQml+XHy2RieGYofFPo0+MsAzm9iKdElHt8O6/o07NZyjNmHgYNBV7vub293V5///6dH5g+dNzzqktzPmFi2traOtQL9CS+GZTJjtfkSl+gNMnyNj3FUTxBfpQxRGmyzVA2bzmljL29vTZfvToYhtozFL5usFhdu3atlYXaw72MBWTz5cuXNgxHGAuSGArfFIb0mNfQK0wOWehNhhnJXXoEUX+H9Gza8oyZm0bJBmkUFW0uvrjEnF94cUt8oRP6EVWqmbzaF5EIhUc/vQSmjyH9I5wXnAzpaA6jfqQVQ+0ZCl83kFmWP+2TX5QN6KUy6r+h8E1hSI9zewmPepJBvlHuyo9PGNKzacszZl5mfkYBqxjL15xfrly5cuId6XyzAfSjmcDaa8E70Anf399v79Gft2/ftt9C+dY2K3yr5X3tQ5Te2f/gwYPuqr89MBS+bpTeRX/nzp121wWibODixYvd1QFD4ZvAGD2+efNm+yl2dnZaOdZAvrdv3+7ujvL7+vVrez+kZ9OWZ8y8zGwoSKkjmvD5xDHI2FJjmw4XFwQWCcXD5S1gxeUzb1eb1eDZs2ftp7ZF79692x5VRTSZlmCrtDFW24mYrVb6elrQjTdv3nR346HOua5D7RnT3nVDRsE05IUqMxS+jvTpcYZjivv373d3x5HhcenSpc7nCI4UYFo96yvPmEUwlaGAVauF/eHDh53vAZrk41ne69ev22+MWMfPnz9v/RgEGAK6x718+XJy69at1lggLOZN+O7ubndnVg0mPRz9HxcdviXdu3evNQAi8duZvuHzST+jX2OeNRDSo2lAx6ir6hwNVKi1RwyFrxOPHz9u24IcRd8zR3xz3d4+eF6pxFD4OjJGjyMYAizw0u1ZGatniyrPmF6aCXoQziKJ2ihu53Pgl88oiZP98nkbNAvCiXjEUTyVZ1YfzrnpL/qOPsvnp/Q1/tHlOAJ/4mekD1H/IJ7zkrYUp4byzLo51J6h8HWD9tCO6KJcBXLNsooMha87Y/UYeeJqIKdSWvKP6cbq2VB5xiyCmQ0FrvGPECf7lQyFWjwtEirPrDb0U+xbJqysJ5GSLmTGGgryK7nSQleC+sb6DLVn2vauGyxGtfYM9dtQ+CbRp8fo75A+EAddiiB3+U2jZ2PKM2ZeZn5Gga0uHmZi2zJuXY6FB9AyOpMz6wH/1hi3PDlWaiau4vMrbPFzDNX3PAFxOI8dA7rX6O+haxa51r+ZNEc/s3D58uVj9R9qzzTtXUc4imgWpWNthKHnQGZ9TmQd6dNjjgEgyy+Djsf5T+n0cOhYPRtbnjFzg7UwBBYuUbPlyn3MgutsKZesb1nIMS732l5TeWa1yd90pA9ZT9CB2L81an1e079I37fhGjn+UHvGtnfdkOxKOzGM3dxvcTwPhW8SQ3qMfuCGyHqDvGK6sXo2tjxj5mVwNWZrCyWtOQaPFFlOyssAkB/5RDQY5DT4sn8eHGa10ORZ6i/pTm3hyLpVIuoQrjYxarGL5atu+GUdxZXoaw8Mha8TcayV2lEb+zLwh8I3hSE9FsQryTHqoZC+4gjPjNGzWnnGLJoL/GkU0RhjjDHmBDM/o2CMMcaYzceGgjHGGGOq2FAwxhhjTBUbCsYYY4ypYkPBGGOMMVVsKBhjjDGmig0FY4wxxlSxoWCMMcaYKjYUjDHGGFPFhoIxxhhjqgwaCrwZ8sKFC72ON6otA/J+9epVd2eWBTJG1nobXQQ/9fPff//d+R6nL73C5DJD4bxRVGF9uoAOKl7f20yH2jNv+LoR24PLfRj7p/Z2V94eqTjGmM1j0FD4+fNn++pZXgmBu3bt2uTJkyeH91z/+vWri704POmcDkz+W1tb3d1xWDTo7+/fv7d9DXlx7EvPgk2Y0m9vbx9bbIbCWYA+ffrUhu3t7bVxS0Yp8W7dutXGIa5e15sZas+84euG2iO5IX/u8QcZXITV2ovs79y504aTj8etMRtIM8B7yW/rayaSY287aybN0W+LI97YuED1am8LNIuDPkHW9GWEfs59XYrXlz6+cU/pxVB4zg/dy/qjt0uOYag984avG4yt2B5AnvLL7SJ+7C+9ATFCuMesMZvF4I7Cs2fPuqsyV69erX6Dyzx8+LC7MusA3+Zv377d3R30Nd84v3792vn0c+XKlcnHjx+7uwNIL4bCKS8TdY1vvKRvFrTOp5+h9swbvm58/vy5uzqC3QHaCVn+P378mDx//ry7m0z29/cnjWHQ3R1A+lK+xpj1ZeEPM+qsEqdtSrYytSWJsaDreK6MYxvTrAb0GQvwpUuXOp8jOI4ag4xMHSfcvXt38u3bt/YahsIjxMlh79+/bxcq9Ew6VHs+Yag984avKzIKhuBZBYykmzdvdj4HhkbJmKv1oTFmPVmoocBErfNOJtW3b9+2kziTCX6wvb19eP348ePD5x9Ix7fDZT0Yac4G9ACHbpQWpaFwGZOKE/VDuxF8y0WHnjx50hqiLOpmGMYfco3GFbsGGYw0ng9Btuv8TIYxZjYWZijwjYNvd/rGgXGAUYCxUJu4+ebBt0omKh5GM5vHzs5OqwfoBtv02RAcCkefMAKIAy9evGg/pVMYCdK5N2/etJ/kaYbhGAdDXbt8OMYrOzsRxqmM+77xbIzZTBZmKJS+iWib9vfv3+1nBgOByenLly/tNxuzOuj8Pf9HC/10+fLl7q4f+pftaRak3d3ddlHCINRCMxQe0aI2BHUuMdSeecPXFQx1jADt6sHTp0/bz0weozyPkPuKeSD+54oxZv1Z6NFDfjBNXLx4sbs6ggmGbzJMTvomaFYLvllixAktCvGBwj54hoAFVrAosdjq4b+h8IwWbNDCzQN1mdrCPdSeecPXHR0Fxj6JRNnDjRs3Tox5ZEI+xpgNovkmMRXN5HziX6qg+bbR/qvUvfDvU8SLcQnf7v5F8v/+7/8O74FP7vmXK8F9M3F1d2ZZSPb0YUR9Kn/6ttQftfTEjf45v6HwTA5DV6If9UA/a+T8c3vmDV9XJMfSuI4QntsbZTAkf2PMejLaUNBiEJ0mTKGJVC5PPEwq0Z/PGFfXuaxNmIxXFfVJTdZaRHC5P2EofexXXNaZWnjWJVyJqCt5kVLescyh9swbvk7QV2pL7hfIfYusSyB3xTHGbB4X+NMMcGOMMcaYEyz8dxSMMcYYsznYUDDGGGNMFRsKxhhjjKliQ8EYY4wxVWwoGGOMMaaKDQVjjDHGVLGhYIwxxpgqNhSMMcYYU8WGgjHGGGOqTGUo6G2PcrybnpfAbNI76nldNm0rwSuQY/tLDhktA/KmbmeBZKKXIEX+/PPPw7bX9IC3CSoOLtOXP35K16dnsW/6+mAov3nD143YHhz3kTzmM0PpjTHrz2hDgQWBtz1+//69fSUt7vbt2+0b/DYFFqytra3u7iS8YvjJkyeH7b93717rdP/y5cvJz58/u9iLozRBnxYs8jWZsFA+f/68bfve3t7k7du3JxZPFhreEikZ4SJ9+bPooF/SOSgtzugmr6emDsSrvc1xKL95w9cNtUdy297ebu/xB4wv3pZJGI6wqItD6Y0xG0IzwAfRy2OaCbLzOYIXxfDymFWCl/WU6joGtbUEbY350u7c9vxSpBq8XGhsXKBO08RfJLS71P/4R5B7s1B0dweMeXFSLX/SxvSE53jIv9ZfmaH85g1fN9Cn2B5AnvLL/YvO0l4+YSi9MWYzGLWjwDe+ZgIovqeeb2+199efBXwL4pvtMhjT1mfPnnVX/WzCO/vzN/crV650Vwewm0Bf8C10lmOTT58+tbtWAtnzjfXr16/tPfl//Pix/YY/hqH85g1fNz5//txdHXHnzp22nZD79+LFi93VAUPpjTGbwaChwMILTAA13rx5010dbEfqvDIvEArTmTQO2DpmC1dn2TpjjvEIi8QwHJCOLWhgAidfEc/J86JF2TGfRRHLjHXhnsUNA4xr5JKff4jx14m7d+92V5PJ9evX2y3p2NaxIBPSXbp0qfM5Qsc7HGlgwMb+k+5khvKbN3xdmWVRv3nzZnc1W3pjzHoxaChwLj8WJlMWaCZUFgjOLlkgWJgVBnwTIRzHgsi3Qr55MungxzcZLeaKx6KrxZOwd+/eHYaRL4sF6SgTqMPu7m57TVrljT910oJCOuqmvAhbBJT54sWLw3xpo+rPPXV++fJle803U3YYdE8biC8jbV2gT6LRSLv0qTYj70WBjEDPSTx58qR9job+NMOgc4yHaFz9+PGjuzrJzs5O+xyCmDa9MWY9meq/HoZ4/fp1O1lrgeCbB4sfiy9+TCrAxC5YzPlWGNMBi46+heJYFLQw4M+3SfHt27djC1SExZZyWaTIR8YKD2mxoGCgxLTUd140ccat26HFnzZwbEFa7YqsExhvGEZ90GeL+gYqYwBd0jdc9SMLmhkG/UTfMa40zhgPcVdIIG8M/KjT06Q3xqwvg4YC28cw5ptC6Zvc5cuX289pv+WxuOP4phjdtPmwI4IhkvNhUfn9+3cXa7GUtqJ1vlvbocFAYKLFgJFBtS7I+ImLSIm4ZT0ERiNGXZYXspFOlZAhmBnKb97wdQXjVGNCu3FPnz5tPyPsBGmHLjI2vTFmfRk0FJgg+bbPN4XaIh3P02vfGMlnGpiUSw+JKZ/agpvhTFk7ETWWYTCwgJTkVTrjJh7fyphoazsjqwp1ZydhzEOcGBTTfNskLoaTkDwxSLRw7+/vt36R2sLdlx/MG77u6Pgrj1XG9xi9rKU3xqw5zTeBUTST8rF/jRL4y49P4sR/j+LfpZrJo71uFs9iHsSJaYA0xCWNUBw+a2GqA2EqlzpSRkTxCcMJtRM3BHnmfAXpY77UJcYlDD/q+5///KeNr39H078LRjlxr/acNrV/X+Q+thGoc62e5FGiL//oj/xi3rGvgXxyfSJD+c0bvq5IjnkMAm2Megj4RfrSG2PWn9GGAmiBjk6TptCkIaeJNPtrUYwLc56AcnlKAzksTmal+DEuLhL9lW8fuS24WL6I4bW2yT+2J15rEZU77YWJ+pXKL8lATsS+jf6RWv4iloNcMlE+2UiQHKOODuU3b/g6gazVljyOIfefnMbVUHpjzGZwgT/NQDfGGGOMOcFC/+vBGGOMMZuFDQVjjDHGVLGhYIwxxpgqJ55R4H/5jTHGGHM+yY8uekfBGGOMMVX8Xw/GGGOMqeIdBWOMMcZUsaFgjDHGmCo2FIwxxhhTxYaCMcYYY6rYUDDGGGNMlTM3FP7444/2txtKjtcSD8GrfmMa7nl3/rrw6tWrtt7LJsqZMjPITOHErUGfTFNf8tLrmCPUoa+cDPWL8SW3Ut6nyT///FOtR5RpdqU+KBH7jbJwY8bFKiBdWXZ9o5zjK+9Bdcguyl99iIs6hv86zSXGLA3+PfKs0RsA4xvo9OY63tbXB3HiGweVbh2Ib99bJryhUbKVrKPMVA/BfX7bpRgrX8ojXq3/xvYv6C2QpFkl4psra29PlBz0xkVQe2IflKAPYj8o3RiZnTXxLZvLrC8ylGwl6yizkowJV53UhwIZRz0j/arpnTGnzUqsqBqscbLVRNM3meZBLmqL3CpC+0ptWBTINE/UeQHiOr4ymfilyZG6jq0v6WsLBP2mRS+W20eewBcJbarVdYiS7kZKhgLg16enSpfrNU9dTxvqWWrDIslyzfpZKjvqEX1Q6pvoR55j9dSYTWStn1G4dOlS+5m3cXd3d7src/Xq1cnNmze7uwPwi3D/6dOn7u6AfCygrfXLly+3n33oWCGXK96/fz959OjRpJl8J2/fvu18zwbatbW11d2tDuqjFy9etJ/i2bNnVbmeRx48eNBdHZD1M8uK44S7d+92d5PJx48fu6sjGuNh8uXLl+7uQOaMj3U58jFm0YwyFHQeXDrfWwZM3rdu3Zo0ln87SGswCTComeipV+28Gn/VnQWMAU8b4vmlJgHdxzbGc2KcylG+UT4ipsnyimeqffSdcePyYj4Nd+7c6a4mk6dPn06ab7CH57uPHz8+YWxRl76+iLx7967No4RkR99hLACTdwnqU2unzpXJL54xc69+wcW85Udf0x4+0TFA32I5KhuXz6ljf//8+bPzHY/KefPmTftZo/km2y5klFOTEaguONpOfUsykE7G9sR24jQOgPixrQojvfzyMwGxL/b39zvfk8R4NUcbZoE5oYaM1Eg0CmpgXHz48KG7M+ac0e0sVMlboHlrbxFo+za6abYrVSe5SK4/n9yTBkpbvGxNKpzPuFXJNduQSofLW8jEIRwUT1uZpI3xlcdpEtsjJJdSXZCB2qO+qlGSZ4T2x21d6pLlB/hpu1d5qt5RX1Qv1V/3wH2Uu+pUyjvWl/B4T3ifPuRyI8o/OuU1BrVLLtYL8FMbVZbaBjEcYtslR0EYDtSuGA6kjfkRry8/7nOdlwll1voCYt8BdaeOMU1sk6BtOa0x54X6jF9AgypPHvOiCYbBqokxTkZj0cSkvIA650FPuCZrTa5xMmNCKE3mylv5ldKq/tmRRvFVN6Ac/E4L6lGauOVP22Md+YyyyItBRu2PbYzktGp/jK88ItQvTtRRZ6BULvfSo5xeEJ94konus9MCyrXiQq5HRvmpHlxTl2mRnGJe+KlegjbG/GN8IH6pfPV7zA+/2PegOkQnufIZy1KfRHktE8rO9Y0QXmp7nDfkYjuAe/yNOY+MOnrQVuPt27cnzYDpfJcDW9LNYJ88fPhwcOuRrdC4Jct2eTMptdc7Ozvt56zblxFthTby6t3WhF+/frVxiBsd28y/f//uYo0jbvGWXGlLvg9kRR/mc1sdjeD/7du39tmBZtJv/ZCjjnZw9AtwnY9UhlBfKS+cng9QfwEyXDQ6XlG5cYs9Qh/R9tx/6NYidAn95LmMqLc14hEBxz7UA9g+hx8/frSf86DjCM7g6fc+1P4sG3QGkO9YFn30QFyOEPqOx0rHDkDfqi3MPfR/fvbBmPPMoKHAgGZiYxCd1uBhsLPYxoeOauTzRT23sIhJFDiDZQKl/WPgAcvSA1KRsQYDxoUmsJLTBD0GFkZkVepDnim4cuVKd3d0dk4aLVByMhS5Lk3KFy9ebD9LbXz+/Hm7mMT8cPQXdcgsYmEWPByo8oBnEkr5U3/q2Ff2PIbMNIZwfsAUSDtNv/eBIYKhgEzyA64lFKdmZMHYZzbQQ/VHzY2pk2CuGHrmg3GZjeQI/YHhKkMsI+PZmHNHMyB70ZYbW6jA1t2IZFORyxD49ZWlrc243Zi3OwmL98AWqdJQJuHUAVQX5dssYse2Y/HX9qXSxryB/GMaUBrCcIJrlbcsqF+uD+1Um3OfSoYlJJ8+aJPyFshSMsiovNiP3Ge54yQ71UM6ozzUF+p3HHEpW2GgtLEPVT7lxj4C1Z0w4gvdK7+M8s/yULpYpwzhUQaAn+opGcS8iR/lHONLRjji4LIuxvK4j30CpCF9ROUpTHLQPa6vnfOS60P5qpOQDtSQvuR+EqTtS2/MJtM/43cwYWjAx8HPgNSENysxb1wcjJoIcXFCE0w+muBjHnlSinWWixNgDOc6TpBxclV4vJfLE0wOj0R/5bdIYp9EGUaX5ak0cjWUXx/ILi44UWa53CxfhWuBlVO/CNVDixLENuSJX3VSeOwv8lUaIT+5WE4MU9tiuMi6Euuf21dKT32yfGIdQe2MjnJFDKf9OIXnOqi+ue0xP4hyxMXxFsOUXx6P86D2kGeuf3RZntSrVA/VN/ZNCcIX2Q5j1okL/GkGyrmC889mwuk9zzTzwZY2W7h9W73zwJEY2/fnUH17Qe5jtuHNeNA1dNm/z2LOK2v9g0tmdeEcnecAxjy0NyvNt8HuypjlwAO7PFtjI8GcZ86docBuAvDQ0rRP7Zvp4Ns+38QW9VBifFLek/dJ2E34/v17+/Bx/I8JMxvoGw9FL+rhUWPWlXN59GCMMcaYcfjowRhjjDFVbCgYY4wxpooNBWOMMcZUsaFgjDHGmCo2FIwxxhhTxYaCMcYYY6rMZCjwf+y1H9LhhTGE1/53fih8GajMvpfZ9DFv+mXC/86Xfg8CP+osl+XNy65ieIS4MQyX257Doz7k9KW+5v/8qcOqsci+Vh8sC9UVhx4sG/XrMn9Ea16y3me3rN9O0W98lHR9LKRfZdmuK8wzqzDXxDl37fqZ31GYBv3GPr+RnuG30AnDlX67fijcTIfk2fc79eqvUhzS194dEH/XXuXUfvO/1Jf4EVaDsFrasyLqZ2z/KhLlq+v4/orzDvLIuo2cst8i0BjDzarPSu8+3EyYO6V7XA+9W2TVmNpQoIF62UtpUGiyrQ2YofBVgPatcv0EC7X6orawMfEoDp8R0sSJUxNeabJSv8UwZFSLT1jJHyhTdVrGxD0PamdNnqsCcisZ6+aA09YtjZ1p5o3cf7WxdJ6YV6eRf57nVoF1mFP6mOroga1OtjifPn3a3u/s7LSfmwRt5CdwVx22OPlpWb3858OHD+1nidu3b7cvwaJdfVte/CxyYwhOHjx40PkcwcudCCOOuHr1avu+hdL7+9GNUj7w7t27VodIy7WZHn5a2IxnWUcOs0J9/NPQx1nEz46v4k+Xz3MctSpMZSiwGLFQaIHom+R///59eB5TOh+qhevcVWeN8exV8XFa8AiXnyaDnDafH+qsVS7G40VGwKKoeuX0ID+5eKatMFB4bGMsn3RxEsMvtrkGC/GLFy/a68aCHjRueFMmfcYbF2uK21jjvWXzVkLixPSPHz+efPz4sZpnhvaSDzpEWvKLshsLE4JkiEPmAlkTHvsohks/5KL8IzFelIv8VO94HycqrmM6wmPcWKdMrLviC+7pb+TOdZ4co37FtMglxtd9jgfUO7afMFwpnuLgoh5wTzsorxSe65nlUQtTmdPw+fPn7uqIrAdZh6cJ//nzZ+c7DPLgXTPoPmnJJzJWXrEfSsS4uYzYb3FuAvV9bF8uS/64vrxjGO2iLOlRDMc/6jT9rfbGekCUD066QbmkJx/8VWf8SROZt/2ZWn7kwVoCrC2EZz1aC7qdhUHY0uHYQWirLW+naOtWcUnHvbaD+sIVFuML/ITiqWzqkresYpjypCwgrvJX+dryU96KW0qPX5QFW5yEkzbGx0GuL+UrL/KZZYtUeYPyVxsi+EV/4qnupFPZkkOWYwSZEUd1F/jF/qI8tTVD/jEspx2D2qt6kF5tIn/CYr4xXO1UHdR3QnkrPJcFpFE4ees66hWfpIt6Eq8JK/UX4B/jRv0S5N/XV0CcrFvKgzLIU5CX8qNswmK45BDrQd65fWq/4uLUzhg+1A/xWmUr7hiIn12E8qL81F/q5zHhue0xfIicHlTPKC/iAfnG+Oq/WnkxnxyXfBQGhJX6XmVH3YChvHXNp+JKfjjlRf7cC+IoTGljfJAuqAzSRLkQFz+h9mS/edqf6csP1JZp9HfVOD56ekBoEpyg8bEDIHckRIWYJVzKmF2sD/eR2HFKH/MElYVT/L7y5ZcVA6IyKb4gHffkDUOKNwT5Z7lTp1KexI11VftIz3WWYV+9SBPlIGL/Qa6bIB31jCjPWaG+pI/54hfrQP1yuaCyY/mSj/oKcn75upQ35DCuY9oaxOvTLyCfeF+CNsQ43Oe+A8qjzTEuflE3oCQbITnG9nEf20H+CuezJgvSKL/ocn36yPGzrAjP7Yj9M2246lySb4mSTpK+Ji/iE55d1hMgbm6vIH4uN/dr7nvqoPz68lY+2akNMR+QzEQOz/NmhriEx/bgp/JE7Ld5258Zk99QO9aB0UcPHDOwXabtFRwMbXnD5cuXu6syQ+Fs6zWdhUYdc2ynC8K1jcVn7XwctPXF1j35TEvT8d3VEWyljz1z5PhGW2y4abeieCZA22ty1GnMEQDPGjSDoE2fn2toFL7No8anT5/aOLQ1cv/+/fYTufeVz3EJ9Yz1lv7kbech2N4jPbKkPdOgrUue3WgGeudbhzKoJ21Dd0gneNYitqlvixJ9i/1WY179EvQ1aVSn/f39Y32n7VL6lfEzC2oL46iZTDvfYfr0ZMx4n5Y7d+50V/WykQdhs4YvE55JQc+zTErzXN/zK6UjkosXL7afv379aj/76Mub9OhArqOeo1oU84z9edufWXR+q8ooQ4FJnHPlrACNhXQY3gfC7JtEhsIxJJjM+nj06FFryIyBsyIWiN3d3c5ner58+dJdHcFEMgYmcOSnBYHFdyya9HNfKK8xD5jqeQUt0kLPPJT6k3IpQ3EiLD7khzFJ+fRFCfon1xtH+0sPRNbAIGEBJC2ynAbaRrtJ22dMRiiD9r1+/bo1rmI62q52ALpVW0hIRzyNmz59mUe/In/99VfbZ9QpGuQYS+RHfbLhNxYmbC3o00KZNTmNGe/TUjIyMJwyURZD4ae5EFy5cqX4nEUJ4vYZlYzjkuwvXbrUXdXpy5v0fV80FsE8Y1/M0/4Si85vFRllKPAAnP7TIaIJlPDM169f208EyAKB9RcZCo8wwdIZ8YEU0mkHAagLCw6T140bNzrfOrIE+74Bxvwj+kYeF1Tu+9oQoY7Un0mHdk0DDwCWyiEvJm1kWVLaTMlIQs7kQX9GuXDNAkhYbXHVg4kYC6UBTN/VrH8WMiaYIYMzEuU2dgKNSEalBbkEMs+GFdCuaLz1oYUe+chYKDGvfkXY7UG21DP3XZzwZ12Yo65Ns0hgTBI/jjHaiyzHjPd5iGNFfUf+1Id5bkx4nvdk6DIHRZmMYUy71I8xLnUrjRniZvkprgwmvvgJjHvaM2bh7cs7zsGRGHcsfTIZM/bpg5Js5m1/ZtH5rSzN5Fal6ZD2bEWO85hII4xiOGcx0Z98IrVw0kd/4olcl0Yhu5Ajmgn2hH/Ok3yIp3vaQBqu8QeFkbaUHmIeONU1++f03Kue8ovt5L7UNlB8nOoqmontRHgso5Qn5eZ8IPcPLtaxBmWU8ot6wnUky4dwlV+TA8Q0se2xzeSV5QIxTgz/z3/+c3iNy20mv6zLtDe2j/ZArhMQV364nFckx411if44lVlDcojk8aT6RtnIH7JOcJ/9annQltwvpTxjHXP9JEOQX0l+WW64GqqvXM5vKDy2SXEVR2Gx3yKx7f/3f/93eI0bKy/5l8jyy3FrYdGfNhGme/XBNHnjIOdTGgtxLshtjToe/WMfgfJVXaMciSvkh5u2/SViuphfbmdfHqvMBf40DTBm5eBbRWnL+Kzgm9Giz1vNbPCNkV3J2g7XKrAOdTRmDFP9joIxpwFbmX0P+50FbGPGhxjN2cERDlu9q7wAr0MdjRmLdxSMqcA3wmvdg6ZPnjzxboIx5lxiQ8EYY4wxVXz0YIwxxpgqNhSMMcYYU8WGgjHGGGOq2FAwxhhjTBUbCsYYY4ypYkPBGGOMMVVsKBhjjDGmyloaCrx0JL94pAY/msOv/JVeEGKMMcaYfvyDS8YYY4yp4qMHY4wxxlSxoWCMMcaYKqMNBd6Gxlk/jtftCs7+5Z/DeE0w6fQ2wBwe/bnWcwR6rkCOPCLcx3ygVj+VwWe8pwylyfkbY4wxpoNnFIa4du3avy9fvmyv9/b2eKah/QSut7e322s+uf/+/Xsbn2vcvXv3joUrPvmK6E/8J0+etNfkldNwr3Co1U/XpXsceef8jTHGGHPEoKHAAhoX9BrRMGDxlV9OixEgw4GwuOBn4sIeF/KYbqh+yoPPeK86Qs7fGGOMMQcMHj38/PmzuyrD8QLb99Aswu1nH1evXu2uJpMXL15M3r5926ZXHqDjAcKbOna+ZYbqZ4wxxpjZGTQULl++PGm+fXd3x2FB39raasOfPXvW+fbDswEyFh48eNAaAjIw9KzArVu3Js03/Mnu7m5730df/YwxxhgzH4OGAos5xB84YrFnJ0H8/v27/dzf328/Iyzi8UHCjx8/Tp4+fdreyzC4efPmid0I7RQobY0x9TPGGGPMjLQHECMgqlx8JoDnDeTPcwO65lkAPaMQ4+Av4nMNOD03EP1JSx5cKz+Fxecb5IdT/Sgr+v+///f/jt3zXEK8J3/5+ZkFY4wx5t9/l/rLjHyrf/fu3eTbt2+djzHGGGPWCf/gkjHGGGOqLG1HgR894j8axBI3LowxxhizJPxSKGOMMcZUmEz+f2q6bSljZGVUAAAAAElFTkSuQmCC\"\u003e\u003c/div\u003e\n\u003cp\u003eTo further understand how the sex-concentration interaction affected survival, we conducted detailed analysis of the lifespan data through multiple comparisons. For female groups, significant differences in mean lifespan were observed between the 0.01 \u0026micro;mol/L and 100 \u0026micro;mol/L treatment groups (Table \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e). In male Drosophila, significant differences in mean lifespan were found between the control and 1 \u0026micro;mol/L treatment groups (Table \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e). Given that ANOVA represents a parametric test based on sample means, we subsequently employed Cox proportional hazards analysis to provide additional validation of capsaicin\u0026apos;s effects on survival within each sex.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cdiv 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\"\u003e\u003c/div\u003e\n\u003cp\u003eCox proportional hazards analysis, a semi-parametric survival analysis method with higher statistical power, was selected to verify our experimental conclusions. The Cox analysis results were consistent with the log-rank test findings (Table \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e, Table \u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003e), confirming the differential effects of capsaicin between sexes. However, the P-value for the 1 \u0026micro;mol/L male Drosophila group was slightly greater than 0.05 in the Cox analysis, indicating that while the biological effect is evident, it approaches the conventional threshold for statistical significance.\u003c/p\u003e\n\u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n\u003ctable id=\"Tab5\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eCox proportional hazards analysis of capsaicin treatment effects on survival of female Drosophila melanogaster under high-sugar diet conditions\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\" rowspan=\"2\"\u003e\n \u003cp\u003eFood\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eB\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eSE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eWald\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003edf\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eSig.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eExp(B)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e95.0% CI for Exp(B)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eLower\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eUpper\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"4\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003econcentration\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8.241\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.040\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.01 \u0026micro;mol/L\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;\u0026thinsp;.160\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.134\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.427\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.232\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.852\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.656\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.108\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1 \u0026micro;mol/L\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.129\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.598\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.439\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.105\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.858\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.422\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100 \u0026micro;mol/L\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.209\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.130\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.570\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.109\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.232\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.955\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.590\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"10\"\u003eAbbreviations: CI, confidence interval.\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e\n\u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n\u003ctable id=\"Tab6\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 6\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eCox proportional hazards analysis of capsaicin treatment effects on survival of male Drosophila melanogaster under high-sugar diet conditions\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eFood\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eB\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eSE\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eWald\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003edf\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eSig.\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eExp(B)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e95.0% CI for Exp(B)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eLower\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eUpper\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003econcentration\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11.313\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.010\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.01 \u0026micro;mol/L\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;\u0026thinsp;.189\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.133\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.030\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.154\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.828\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.638\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.074\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1 \u0026micro;mol/L\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;\u0026thinsp;.255\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.133\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.685\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.055\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.775\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.598\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100 \u0026micro;mol/L\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;\u0026thinsp;.453\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.136\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11.058\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.635\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.486\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e.830\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"11\"\u003eAbbreviations: CI, confidence interval.\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e\n"},{"header":"Discussion","content":"\u003cp\u003eOur hypothesis was only partially supported by the experimental results. We hypothesized that capsaicin supplementation would extend lifespan in both male and female Drosophila melanogaster under high-sugar diet conditions, based on its established metabolic benefits. However, our findings revealed a striking sex-specific response that contradicted our initial prediction. Our study provides the first evidence that capsaicin's effects on lifespan are subject to dual regulation by diet and sex, which highlights the intricate interplay between bioactive compounds, nutritional conditions, and host physiological differences. Here we showed sex specific effect of capsaicin on lifespan. The lifespan increase was observed only in males when the diet was high-sugar (8 folds of the regular diet), and the effective concentration is 100 \u0026micro;mol/L and 1 \u0026micro;mol/L. Interestingly, in our previous study, on common food which the sugar content is 1/8 of the food medium used in this research, lifespan was significantly increased in females [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. This unexpected reversal of sex-specific effects under different dietary conditions demonstrates that capsaicin's biological activity is more complex than initially anticipated.\u003c/p\u003e\u003cp\u003eThe observed diet-dependent reversal of capsaicin's sex-specific effects may be explained by differential metabolic responses to high-sugar diets between sexes. Sex difference in lifespan is affected by environmental conditions, such as the diet. High-sugar diet in Drosophila melanogaster has sexually dimorphic effects on feeding behavior, hunger resistance, and longevity [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. Females decreased food consumption on high sugar diet compared with those on common food, while males increased food consumption. Females gain more than males the ability to resist the starvation phase of a high-sugar diet, and females' longevity is more likely to be adversely affected by a high-sugar diet [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. Thus, it is reasonable that high sugar diet changed the base metabolism and the effects of capsaicin on high sugar diet and regular food are different.This sex-specific vulnerability to sugar-induced metabolic stress may fundamentally alter the physiological responses to capsaicin. Recent advances in aging research have highlighted the role of sex hormonal regulation in determining lifespan limits and adaptive responses to environmental stressors [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. Under high-sugar conditions, the metabolic burden may disproportionately affect female flies, potentially overwhelming the protective mechanisms typically activated by capsaicin, while males may retain greater therapeutic responsiveness due to their different metabolic adaptation strategies.\u003c/p\u003e\u003cp\u003eA possible mechanism for capsaicin may be that it improves glucose homeostasis in Drosophila by modulating the microflora of the gut. Capsaicin regulates bile acid metabolism by remodeling the intestinal microbiota of male mice, characterized by an increased abundance of bacterial spp. that enhances glucagon-like peptide-1 secretion and improves glucose homeostasis [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. This gut microbiota-mediated mechanism may explain the male-specific benefits observed under high-sugar conditions, as sex differences in gut microbiome composition and function have been increasingly recognized [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e].Neuropeptide calcitonin-gene-related peptide (CGRP), which modulates metabolism [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e], or other signaling pathways besides TRPV1 could also be the mechanism. Studies have shown that capsaicin inhibits IHG-induced (intermittent high glucose) endothelial cell senescence, possibly by upregulating SIRT1 expression in a TRPV1/Ca2+/CaMKII/AMPK-dependent mechanism [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. The SIRT1 pathway is particularly relevant as it serves as a key mediator of metabolic homeostasis and longevity, with sex-specific expression patterns that may contribute to the observed differential responses [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e].Insulin signaling pathways, which are central to longevity regulation and are differentially affected by high-sugar diets in males and females, may serve as key mediators of capsaicin's sex-specific effects [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. The metabolic stress induced by obesogenic diets may create distinct therapeutic windows for capsaicin intervention between sexes, reflecting evolutionary adaptations to different environmental pressures.\u003c/p\u003e\u003cp\u003eOur result showed that the capsaicin effect is concentration dependent. In numerous experimental models, antioxidants have shown to induce hormetic response, which is concentration/dose dependent. Hormetic response can limit age-related damages and reduce severity of age-related diseases, by activating Nrf2/ARE pathway [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]. For example, antioxidant can protect mitochondria and provide cellular protection in anti-degenerative therapeutics [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. As capsaicin can act as an antioxidant, the concentration dependent result can be explained by hormetic response, and the activation of vitagene network.The plateau effect observed between 1 and 100 \u0026micro;mol/L concentrations indicates that capsaicin operates within a narrow therapeutic window under high-sugar conditions. Recent research has emphasized that hormetic responses are fundamental components of adaptability that enhance survival, with sex-specific thresholds and response patterns increasingly recognized [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. The similar magnitude of lifespan extension at both effective concentrations suggests that the hormetic response saturates within this range, providing important guidance for determining optimal therapeutic dosing strategies.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThis study demonstrates a remarkable diet-dependent reversal of capsaicin's sex-specific effects on longevity in Drosophila melanogaster. Under high-sugar conditions, capsaicin selectively extends male lifespan through apparent hormetic mechanisms, contrasting with its female-specific benefits under standard dietary conditions. These findings underscore the critical importance of considering both sex and metabolic context when evaluating the therapeutic potential of bioactive compounds. The concentration-dependent nature of capsaicin's effects, combined with the sex-specific reversal under obesogenic conditions, highlights the complex interplay between bioactive compounds, host metabolism, and evolutionary adaptations.\u003c/p\u003e\u003cp\u003eHowever, several limitations should be acknowledged, including the exclusive focus on high-sugar conditions without simultaneous standard diet controls, the examination of only three capsaicin concentrations that may miss optimal therapeutic windows, and the need for deeper mechanistic investigation to elucidate the molecular pathways underlying the observed sex-specific reversal. Future research priorities should include mechanistic studies targeting insulin signaling and stress response pathways, expanded dose-response analyses across broader concentration ranges, comparative dietary studies examining multiple metabolic conditions simultaneously, temporal investigations of long-term treatment effects, and translational research extending these findings to mammalian models. These insights have significant implications for developing personalized nutritional interventions targeting age-related metabolic dysfunction and may inform future clinical trials investigating capsaicin's therapeutic potential in human populations, ultimately advocating for precision nutrition approaches that account for the dynamic interplay between bioactive compounds, individual physiology, and environmental context.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgments\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors thank the anonymous reviewers for their constructive comments that improved this manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding Sources\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work was supported by the grant to J.S. (Zhejiang Provincial Natural Science Foundation of China, LY22C060002).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor Contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eRui Wu: Data curation, Writing- Original draft preparation.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eHui Jin: Software, Validation, Investigation.\u003c/p\u003e\n\u003cp\u003eJie Shen: Writing- Reviewing and Editing, Supervision.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor Declarations\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflict of Interest:\u0026nbsp;\u003c/strong\u003eThe authors declare that they have no conflict of interest.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthical Approval:\u003c/strong\u003e The research was conducted on Drosophila melanogaster. The research complies with ethical standards.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Availability:\u003c/strong\u003e Available upon request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent to Participate:\u003c/strong\u003e Not applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for Publication:\u003c/strong\u003e All authors have agreed to use the data for publication.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eBode AM, Dong Z. The Two Faces of Capsaicin. Cancer Research 2011;71:2809\u0026ndash;14. https://doi.org/10.1158/0008-5472.CAN-10-3756.\u003c/li\u003e\n\u003cli\u003eLu M, Chen C, Lan Y, Xiao J, Li R, Huang J, et al. Capsaicin\u0026mdash;the major bioactive ingredient of chili peppers: bio-efficacy and delivery systems. Food Funct 2020;11:2848\u0026ndash;60. https://doi.org/10.1039/D0FO00351D.\u003c/li\u003e\n\u003cli\u003eYamani N, Musheer A, Gosain P, Sarfraz S, Qamar H, Waseem MM, et al. 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Cell Metab 2018;27:529\u0026ndash;47. https://doi.org/10.1016/j.cmet.2018.02.011.\u003c/li\u003e\n\u003cli\u003eFontana L, Partridge L, Longo VD. Extending healthy life span--from yeast to humans. Science 2010;328:321\u0026ndash;6. https://doi.org/10.1126/science.1172539.\u003c/li\u003e\n\u003cli\u003eCalabrese V, Cornelius C, Dinkova-Kostova AT, Iavicoli I, Di Paola R, Koverech A, et al. Cellular stress responses, hormetic phytochemicals and vitagenes in aging and longevity. Biochim Biophys Acta 2012;1822:753\u0026ndash;83. https://doi.org/10.1016/j.bbadis.2011.11.002.\u003c/li\u003e\n\u003cli\u003eDrake J, Link CD, Butterfield DA. Oxidative stress precedes fibrillar deposition of Alzheimer\u0026rsquo;s disease amyloid beta-peptide (1-42) in a transgenic Caenorhabditis elegans model. Neurobiol Aging 2003;24:415\u0026ndash;20. https://doi.org/10.1016/s0197-4580(02)00225-7.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"capsaicin, spicy food, Drosophila, high-sugar diet, Sex specificity hormesis, metabolic stress","lastPublishedDoi":"10.21203/rs.3.rs-7648416/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7648416/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eDespite known benefits in normal diet, capsaicin's effects under obesogenic conditions remain unexplored. Based on capsaicin's established metabolic benefits, we hypothesized that capsaicin supplementation would extend lifespan in both male and female Drosophila melanogaster under high-sugar diet conditions. Here, we tested the impacts of capsaicin on longevity in Drosophila melanogaster fed a high-sugar diet. Contrary to our hypothesis, a sex-specific reversal was found: capsaicin at 1\u0026ndash;100 \u0026micro;mol/L significantly extended the median lifespan of male flies by 10.52% (P\u0026thinsp;\u0026lt;\u0026thinsp;0.01), yet showed no benefit in females. This was in contrast to our previous finding where capsaicin increased female lifespan on standard diet. Such a diet-switched sex specificity highlights that capsaicin's effects are not only sex-dependent but also modulated by metabolic interactions with dietary conditions. Furthermore, the lifespan-extending effects of capsaicin were concentration-dependent, suggesting potential hormetic mechanisms. These novel findings underscore the complex interplay between bioactive compounds, host metabolism and sex-specific responses in the context of obesity-inducing diets.\u003c/p\u003e","manuscriptTitle":"High-sugar diet switches sex-specific longevity responses to capsaicin in Drosophila melanogaster","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-10-01 17:31:54","doi":"10.21203/rs.3.rs-7648416/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"de4ef82e-617e-4547-9502-2b62e774c90c","owner":[],"postedDate":"October 1st, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-10-03T11:09:14+00:00","versionOfRecord":[],"versionCreatedAt":"2025-10-01 17:31:54","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7648416","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7648416","identity":"rs-7648416","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}