Trajectories of Left Ventricular Mass and Wall Thickness in Obesity: Influence of HbA1c and Dapagliflozin Over Six Months

Trajectories of Left Ventricular Mass and Wall Thickness in Obesity: Influence of HbA1c and Dapagliflozin Over Six Months | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Trajectories of Left Ventricular Mass and Wall Thickness in Obesity: Influence of HbA1c and Dapagliflozin Over Six Months Muneera AlTaweel, Ali Alshangiti, Shahad Al-Raimi, Fatimah Alabdulmohsen, and 13 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8109179/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background Obesity and diabetes contribute synergistically to cardiac remodeling, yet the short-term structural trajectory of the left ventricle (LV) in response to modest metabolic improvement remains unclear. We examined the influence of HbA1c reduction and dapagliflozin exposure on LV mass index (LVMI) and wall thickness patterns in an obese population. Methods In this six-month prospective cohort study at a tertiary center in Saudi Arabia, 104 overweight or obese adults (mean age 65 ± 11 years; 67% female) underwent paired echocardiography and metabolic evaluation. LV geometry was classified as normal, concentric remodeling (CR), concentric hypertrophy (CH), or eccentric hypertrophy (EH) based on LVMI and relative wall thickness (RWT). Generalized estimating equations and multinomial logistic regression modeled predictors of remodeling, adjusting for age, gender, BMI, HbA1c changes, and exposure to glucose-lowering agents (metformin, sitagliptin, dapagliflozin). Results BMI decreased modestly (34.4 → 34.2 kg/m²; p = 0.006) while HbA1c improved significantly (7.7 → 6.9%; p < 0.001). LVMI paradoxically increased (92.5 → 100.6 g/m²; p = 0.002), and RWT remained stable (0.43 → 0.40; p = 0.22). Female sex and older age predicted concentric hypertrophy. Males showed a shift from CR to EH (p = 0.018). HbA1c reduction was associated with a lower prevalence of abnormal RWT (p = 0.041). Dapagliflozin use correlated with decreased concentric remodeling (p = 0.012) and greater EH prevalence, suggesting improved LV compliance. Conclusions Even short-term metabolic improvement may translate into measurable structural adaptation of the LV. The observed sex-specific remodeling and the favorable geometric trends in dapagliflozin users support an integrated preventive approach targeting metabolic control to mitigate obesity-related cardiac remodeling. Health sciences/Cardiology Health sciences/Diseases Health sciences/Endocrinology Health sciences/Medical research Obesity Preventive cardiology Echocardiography Left ventricular mass index Relative wall thickness HbA1c Dapagliflozin Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Introduction Obesity is one of the most urgent global health issues and a key focus for preventive cardiology. Its prevalence has more than doubled since 1990 and continues to increase worldwide, affecting about 16% of adults as of 2022 ( 1 ). The burden is especially high in the Middle East, where lifestyle changes have sped up the rise of cardiometabolic diseases ( 2 – 4 ). In Saudi Arabia, obesity impacts nearly a quarter of adults, highlighting the need for early and coordinated strategies to reduce cardiovascular risk ( 2 – 4 ). Obesity contributes to cardiovascular morbidity not only through traditional risk factors such as hypertension, dyslipidemia, and diabetes but also through direct structural effects on the myocardium. Increased cardiac preload and afterload, neurohormonal activation, and metabolic dysregulation collectively promote left ventricular (LV) hypertrophy and geometric remodeling ( 5 , 6 ). Echocardiographic indices like LV mass index (LVMI) and relative wall thickness (RWT) provide consistent measures of these structural changes ( 7 , 8 ). Abnormal LV geometry, whether concentric remodeling, concentric hypertrophy, or eccentric hypertrophy, is strongly linked to heart failure, arrhythmia, and mortality ( 9 ). Several mechanisms connect obesity to LV remodeling, including changes in body composition, hemodynamic stress, and metabolic signaling ( 5 , 10 ). Population-based studies, such as the Study of Health in Pomerania (SHIP), have shown that increases in fat mass are associated with concentric remodeling, while gains in fat-free mass promote eccentric remodeling ( 11 ). These findings suggest that the type of weight change, rather than the total weight loss, may influence LV remodeling trajectories. The coexistence of type 2 diabetes mellitus (T2DM) further increases the risk of structural heart changes. Chronic high blood sugar causes myocardial fibrosis, endothelial dysfunction, and impaired relaxation, leading to increased LVMI and abnormal RWT ( 12 , 13 ). HbA1c acts as a reliable marker of long-term blood sugar control, and poor control has been independently associated with adverse remodeling ( 13 , 14 ). Conversely, better metabolic control has been linked to reduced LV hypertrophy and normalized heart structure in population studies such as the Framingham cohort ( 14 ). Recent evidence highlights the heart-protective potential of specific glucose-lowering agents, especially sodium–glucose cotransporter 2 (SGLT2) inhibitors. Large clinical trials such as DAPA-HF and EMPA-REG OUTCOME have shown significant reductions in LV mass and improvements in diastolic function among patients taking SGLT2 inhibitors, regardless of glycemic control ( 15 – 18 ). These findings have made SGLT2 inhibition a promising preventive and therapeutic approach for obesity-related heart remodeling. Other agents, including metformin and dipeptidyl peptidase-4 (DPP-4) inhibitors, may also provide structural benefits, although the evidence is less strong ( 15 , 19 ). Despite these advances, limited data describe the long-term impact of short-term metabolic improvements and glucose-lowering therapy on LV geometry in real-world obese populations, especially in non-diabetic or mixed metabolic cohorts. Prior regional studies have mainly been cross-sectional or focused on bariatric populations ( 10 ). Understanding how modest metabolic changes and pharmacologic exposures lead to measurable remodeling is essential for early preventive intervention. Accordingly, the present study aimed to characterize the six-month trajectories of LV mass and wall thickness in overweight and obese adults , evaluating the influence of HbA1c reduction and dapagliflozin exposure within a real-world preventive cardiology context. By integrating echocardiographic measures with metabolic indices, this research examines the structural effects of modest metabolic changes and highlights potential therapeutic pathways to reduce obesity-related cardiac remodeling. Methods Study Design and Population This was a prospective longitudinal observational study conducted at King Abdulaziz Hospital, Ministry of National Guard Health Affairs (MNGHA), Al-Ahsa, Saudi Arabia, from January to December 2023. Adult patients (≥ 18 years) with a body mass index (BMI) of 25 kg/m² or higher who underwent baseline and six-month follow-up echocardiography were consecutively enrolled from cardiology and metabolic clinics. The study adhered to the ethical principles of the Declaration of Helsinki and received approval from the Institutional Review Board of King Abdullah International Medical Research Center (KAIMRC; protocol number NRA23A/017/05) . Written informed consent was obtained from all participants. Sample Size Determination Sample size estimation was conducted using G*Power 3.1 , assuming a moderate effect size (Cohen’s f = 0.25) for changes in LV geometry across BMI and HbA1c groups, with a two-sided α of 0.05 and 80% power. The necessary sample size was 260 participants. After accounting for attrition and exclusion criteria, 104 patients completed both assessments and were included in the analysis. Although underpowered for subgroup comparisons, this sample was sufficient for exploratory modeling of trends and associations. Anthropometric and Clinical Assessment Demographic and clinical data, including age, sex, comorbidities (notably hypertension and diabetes), and medication history, were collected from electronic medical records. Anthropometric measurements (height, weight, BMI) were recorded during both visits. Laboratory Tests Fasting venous blood samples were collected to measure glycated hemoglobin (HbA1c) using standardized lab assays in line with hospital quality control procedures. HbA1c was the main marker of long-term blood sugar control. For each participant, absolute values and six-month changes (ΔHbA1c) were calculated. Echocardiographic Assessment All echocardiographic studies were performed using standard transthoracic imaging in accordance with ASE/EACVI guidelines by experienced sonographers who were blinded to the patients’ clinical data. Measurements were taken at end-diastole using M-mode and 2D imaging. Left ventricular mass (LVM) was calculated with the Devereux formula and indexed to body surface area to determine the left ventricular mass index (LVMI) . Relative wall thickness (RWT) was calculated as (2 × posterior wall thickness) divided by the LV internal diameter in diastole. LV geometry was classified as follows: Normal geometry : normal LVMI and RWT < 0.42 Concentric remodeling (CR) : normal LVMI, RWT ≥ 0.42 Eccentric hypertrophy (EH) : increased LVMI, RWT < 0.42 Concentric hypertrophy (CH) : increased LVMI, RWT ≥ 0.42 Quality control was ensured by independent verification of 10% of studies by a senior echocardiographer. Medication Exposure Medication data were collected through chart review and patient interviews. Special focus was given to glucose-lowering therapies with potential structural or metabolic effects, such as metformin, dapagliflozin , and sitagliptin . These medications were not classified as interventions but recorded as exposure variables of interest . Their presence or absence at baseline and follow-up was used for categorical analysis. Statistical Analysis Data were analyzed using SAS version 9.4 (SAS Institute Inc., Cary, NC, USA). Continuous variables were summarized as mean ± standard deviation (SD) or median [interquartile range (IQR)] , and categorical variables as frequencies and percentages. Paired comparisons (baseline vs. follow-up) used the Wilcoxon signed-rank test for non-normally distributed variables and McNemar’s test for categorical outcomes. Between-group comparisons employed chi-square or Fisher’s exact tests, as appropriate. Predictors of LV geometry changes were analyzed using multinomial logistic regression with generalized estimating equations (GEE) to account for within-subject correlation over time. Covariates included age, sex, BMI change, HbA1c change, and medication exposure. For binary outcomes (e.g., normal versus abnormal RWT), binary logistic regression models were used. Statistical significance was defined as p < 0.05 . Results are reported with β-coefficients, odds ratios, and 95% confidence intervals where applicable. Results 1. Baseline Characteristics and Longitudinal Changes A total of 104 participants were included in the final analysis, with a mean age of 65 ± 11 years ; 67.1% were female . The mean baseline BMI was 34.4 ± 10.1 kg/m² , and the mean HbA1c was 7.7 ± 3.2% . At six months, both BMI and HbA1c showed statistically significant improvements: BMI slightly decreased to 34.2 ± 9.9 kg/m² (p = 0.0064) , while HbA1c dropped to 6.9 ± 2.8% (p < 0.001) . In contrast, the left ventricular mass index (LVMI) increased significantly from 92.5 ± 31.4 g/m² to 100.6 ± 34.2 g/m² (p = 0.0022) , while relative wall thickness (RWT) showed a mild, non-significant decrease ( 0.43 ± 0.12 to 0.40 ± 0.10; p = 0.22 ). These trends are demonstrated in Fig. 1 (BMI and HbA1c trajectories) and Fig. 2 (LVMI changes over time). The overall distribution of LV geometric patterns at baseline and follow-up is shown in Fig. 3 A. 2. Predictors of Left Ventricular Remodeling Multinomial logistic regression analysis identified age and female sex as significant predictors of concentric remodeling and hypertrophy. Each additional year of age was linked to increased odds of concentric hypertrophy ( β = 0.0355; p = 0.0473 ) and concentric remodeling ( β = 0.0408; p = 0.0250 ). Female sex was associated with higher odds of concentric hypertrophy compared to males ( β = 1.1979; p = 0.0454 ). Follow-up status (six months versus baseline) was linked to a dec rease in concentric remodeling ( β = −0.7711; p = 0.0442 ), while exposure to glucose-lowering medications was associated with a marginal increase in eccentric hypertrophy ( β = 1.111; p = 0.062 ) and a decrease in concentric remodeling ( β = −0.823; p = 0.061 ). These remodeling patterns are shown in Fig. 3 B and detailed in Table 1 . 3. Remodeling Patterns by Medication Exposure Among glucose-lowering therapies, metformin was prescribed in 44.2% of patients, sitagliptin in 36.5%, and dapagliflozin in 31.7%. Distinct remodeling trajectories were observed across these groups (Table 2 ). Patients treated with dapagliflozin showed a significant decrease in concentric remodeling (from 21.9% to 11.1%) and an increase in eccentric hypertrophy (from 12.2% to 40.7%; p = 0.012). This pattern was not observed in users of metformin or sitagliptin alone. Overall, patients on any glucose-lowering therapy had a lower prevalence of abnormal RWT compared with untreated patients ( 42.6% vs. 51.5%; p = 0.0135 ). These findings are summarized in Fig. 6 . 4. Gender-Specific Remodeling Trends Gender differences in remodeling dynamics were notable (Table 3, Fig. 4 ). In female participants, a modest BMI reduction was paradoxically linked to increased LVMI (p = 0.023), although there was no significant change in remodeling category. In contrast, male participants showed a transition from concentric remodeling to eccentric hypertrophy (p = 0.018), with a corresponding decrease in RWT. 5. Metabolic Parameters and RWT Risk Across the cohort, reductions in BMI and HbA1c were independently linked to a lower prevalence of abnormal RWT. Patients who showed improvement in HbA1c had less RWT abnormality (56.6% → 50.9%; p = 0.041). GEE models confirmed that female sex, older age, and baseline geometry predicted higher RWT, while glucose-lowering therapy was associated with a significant decrease in the risk of abnormal RWT (β = −0.704; p < 0.001). These associations remained strong in multivariate analyses, and the relationship between glucose-lowering therapy and reduced RWT aligns with previous clinical and epidemiologic findings ( 6 , 19 ). Figure 5 illustrates the flow of BMI/HbA1c change categories and related LV remodeling outcomes. The full regression results are presented in Table 4 . Discussion This prospective study offers new preventive-cardiology insights into the patterns of left-ventricular (LV) remodeling in overweight and obese adults, highlighting the interaction between metabolic control, glucose-lowering therapy, and heart structure adaptation. Over six months, even small reductions in BMI and HbA1c were linked to noticeable changes in LV geometry, emphasizing how sensitive cardiac structure is to short-term metabolic changes. Notably, dapagliflozin exposure was associated with positive remodeling trends, supporting emerging evidence of the cardioprotective effects of SGLT2 inhibition in both diabetic and non-diabetic populations. Mechanistic and Clinical Interpretation Our findings emphasize the dual metabolic–structural continuum that is central to obesity-related cardiovascular disease. Although BMI reduction was statistically significant but only modest in clinical impact, the simultaneous decrease in HbA1c and subsequent remodeling changes suggest that metabolic quality, rather than the amount of weight lost, may be what drives structural cardiac benefits. The paradoxical increase in LVMI despite improved glycemic status likely reflects physiological remodeling variability and redistribution of myocardial tissue, rather than pathological hypertrophy. This phenomenon is similar to observations from population studies showing that metabolic improvement may initially lead to LV mass reduction (9, 11, 14). The observed sex differences are clinically significant. Female participants showed higher baseline RWT and a greater tendency toward concentric hypertrophy, while male participants more frequently shifted from concentric to eccentric remodeling. These differences might reflect distinct hormonal and hemodynamic adaptation mechanisms and should promote sex-specific risk assessments in preventive strategies. Our data also emphasize the pharmacologic effects of glucose-lowering therapy on LV geometry. Patients treated with dapagliflozin exhibited less concentric remodeling and a higher prevalence of eccentric hypertrophy, indicating improved LV compliance. These findings support the DAPA-HF and EMPA-REG OUTCOME trials, which showed reductions in LV mass and better diastolic function in SGLT2 inhibitor users (16–18). The mechanisms behind the combined cardiometabolic benefits of these agents include improved myocardial energetics, decreased interstitial fibrosis, and osmotic unloading. Preventive Cardiology Implications This work supports the idea that early metabolic correction, especially glycemic control, may influence the shape of the heart muscle even before clear signs of cardiovascular disease appear. In preventive cardiology, adding SGLT2 inhibitors to treatment plans for obese, high-risk patients could be a targeted approach to prevent harmful heart remodeling and reduce future heart failure risk. Recognizing these early geometric changes provides an opportunity for timely intervention and echocardiographic monitoring as a preventive measure. Study Limitations Several limitations should be considered. First, the sample size was small (n=104) and collected from a single center, which limits how well the results can be applied to other populations. The six-month follow-up period also prevents assessment of long-term remodeling stability. Second, medication exposure was observational rather than randomized, so confounding by indication cannot be ruled out. Third, we did not systematically measure body composition or physical activity, both of which could affect remodeling trajectories. Fourth, blood pressure data were obtained from clinical records rather than during simultaneous echocardiographic sessions, which may introduce variability. Finally, although standardized imaging and analysis protocols were followed, inter-observer variability could not be entirely eliminated. Future Directions Future studies should use larger, multi-center groups with longer follow-up and include detailed metabolic, hemodynamic, and imaging biomarkers. Using advanced techniques such as cardiac MRI, strain imaging, and adipokine profiling can help clarify the mechanistic links between metabolic control and LV structural changes. Randomized interventional trials evaluating SGLT2 inhibitors and other metabolic agents in non-diabetic obese populations would further improve understanding of causality and guide preventive strategies. Conclusion In this real-world preventive cardiology cohort, modest short-term improvements in BMI and HbA1c were accompanied by measurable, though varied, LV remodeling responses. Female sex and older age were linked to concentric patterns, while dapagliflozin exposure promoted a shift toward eccentric geometry and a lower prevalence of abnormal RWT. These findings highlight the importance of integrated cardiometabolic management and early pharmacologic intervention to reduce structural cardiac risk in obesity. Declarations Acknowledgments The authors sincerely thank Rana Mohammed Faqihi and Raneem Abdullah Alahmari for their dedicated efforts and technical expertise in echocardiography acquisition and analysis. Their contribution was invaluable to the successful completion of this study. Funding No external funding was received for this study. Conflicts of Interest The authors declare no conflicts of interest related to this work. Ethical Approval The study was approved by the Institutional Review Board of the King Abdullah International Medical Research Center (KAIMRC; protocol number NRA23A/017/05). All procedures were conducted in accordance with the ethical principles of the Declaration of Helsinki (1975, and subsequent revisions). Written informed consent was obtained from all participants prior to enrollment. Data Availability De-identified data and analytic outputs supporting the findings of this study are available from the corresponding author upon reasonable request. References World Health Organization. Obesity and overweight. Available at: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight (accessed 2024). GBD Eastern Mediterranean Region Obesity Collaborators. Burden of obesity in the Eastern Mediterranean Region: findings from the Global Burden of Disease 2015 study. Int. J. Public. Health . 63 , 165–176. https://doi.org/10.1007/s00038-017-1002-5 (2018). DeNicola, E., Aburizaiza, O. S., Siddique, A., Khwaja, H. & Carpenter, D. O. Obesity and public health in the Kingdom of Saudi Arabia. Rev. Environ. Health . 30 , 191–205. https://doi.org/10.1515/reveh-2015-0008 (2015). Al Nasser, K. A., Alsaffar, Y. K., Al Hazmi, A. N. & Al Hazmi, A. Correlation between obesity and mental health status in Riyadh, Saudi Arabia. Cureus 16 , e00 (2024). Pi-Sunyer, F. X. The obesity epidemic: pathophysiology and consequences of obesity. Obes. Res. 10 (Suppl 2), 97S–104S. https://doi.org/10.1038/oby.2002.202 (2002). Powell-Wiley, T. M. et al. Obesity and cardiovascular disease: a scientific statement from the American Heart Association. Circulation 143 , e984–e1010. https://doi.org/10.1161/CIR.0000000000000973 (2021). Marwick, T. H. The role of echocardiography in heart failure. J. Nucl. Med. 56 (Suppl 4), 31S–38S. https://doi.org/10.2967/jnumed.114.150433 (2015). Lavie, C. J. et al. Impact of echocardiographic left ventricular geometry on clinical prognosis. Prog Cardiovasc. Dis. 57 , 3–9. https://doi.org/10.1016/j.pcad.2014.05.003 (2014). Korre, M. et al. Effect of body mass index on left ventricular mass in career male firefighters. Am. J. Cardiol. 118 , 1769–1773. https://doi.org/10.1016/j.amjcard.2016.08.058 (2016). AlTaweel, M. S. et al. Clinical correlation of left ventricular geometric patterns at King Abdulaziz Hospital, Al-Ahsa, Eastern Province. Ser. Cardiol. Res. 5 , 1–7. https://doi.org/10.54178/2768-5985.2023a6 (2023). Markus, M. R. et al. Changes in body weight and composition are associated with changes in left ventricular geometry and function in the general population: the SHIP study. Circ. Cardiovasc. Imaging . 10 , e005544. https://doi.org/10.1161/CIRCIMAGING.116.005544 (2017). Seferovic, J. P. et al. Increased left ventricular mass index is present in patients with type 2 diabetes without ischemic heart disease. Sci. Rep. 8 , 926. https://doi.org/10.1038/s41598-018-19229-w (2018). Liu, J. E. et al. The impact of diabetes on left ventricular filling pattern in normotensive and hypertensive adults: the Strong Heart Study. J. Am. Coll. Cardiol. 37 , 1943–1949. https://doi.org/10.1016/S0735-1097(01)01230-X (2001). Kannel, W. B. & McGee, D. L. Diabetes and cardiovascular risk factors: the Framingham study. Circulation ;59:8–13. (1979). https://doi.org/10.1161/01.CIR.59.1.8 Zhang, D. P., Xu, L., Wang, L. F., Wang, H. J. & Jiang, F. Effects of antidiabetic drugs on left ventricular function/dysfunction: a systematic review and network meta-analysis. Cardiovasc. Diabetol. 19 , 10. https://doi.org/10.1186/s12933-020-0987-x (2020). McMurray, J. J. V. et al. Dapagliflozin in patients with heart failure and reduced ejection fraction. N Engl. J. Med. 381 , 1995–2008. https://doi.org/10.1056/NEJMoa1911303 (2019). Zinman, B. et al. Empagliflozin, cardiovascular outcomes, and mortality in type 2 diabetes. N Engl. J. Med. 373 , 2117–2128. https://doi.org/10.1056/NEJMoa1504720 (2015). Verma, S. et al. Effect of empagliflozin on left ventricular mass and diastolic function in individuals with diabetes: a clue to the EMPA-REG OUTCOME trial. Diabetes Care . 39 , e212–e213. https://doi.org/10.2337/dc16-1312 (2016). Lv, J. et al. Relationship between left ventricular hypertrophy and diabetes is likely bidirectional: a temporality analysis. J. Am. Heart Assoc. 12 , e028219. https://doi.org/10.1161/JAHA.122.028219 (2023). Tables Table 1. Baseline and follow-up clinical and echocardiographic characteristics. Data are presented as mean ± SD or median [IQR], as appropriate. Abbreviations: BMI = Body Mass Index; HbA1c = Glycated Hemoglobin; LVMI = Left Ventricular Mass Index; RWT = Relative Wall Thickness. Table 2. Comparison of left-ventricular mass index (LVMI) and relative wall thickness (RWT) between female and male participants at baseline and six-month follow-up. Data are expressed as mean ± SD or median [IQR] as appropriate. Abbreviations: LVMI = Left Ventricular Mass Index; RWT = Relative Wall Thickness. Table 3. Effect of diabetes medications on relative wall thickness (RWT) at baseline and six-month follow-up. Data are presented as frequencies and percentages. Abbreviations: DM = Diabetes Mellitus; RWT = Relative Wall Thickness; CR = Concentric Remodeling; EH = Eccentric Hypertrophy; CH = Concentric Hypertrophy. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8109179","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":545393672,"identity":"d84551c8-90cc-47d9-afdb-3cc8a09415b8","order_by":0,"name":"Muneera AlTaweel","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA60lEQVRIie2RsQrCMBCGDwS7BF1bKvoKVwpFJ1/FLnZpwU03RxcfQN+iUxwNCLo4S+EcKoKTYsGloIMpLk6xboL5hnCE/+M/EgCN5gfpiuIcQBMFVF9X4oPyiiG4na8Vf1leMbZOmiEPOE12aQ68WRPGIVMqLHSdGVLE99uhMwVyLcFcU71YxG1WKEnYNxmQHwsGaqV+WdwfSAFKxXoAjWNhHHOlYka8Akg9TIK1LVt68rU9dYt5vVlTJCdOwqrdkMN8xby2erG+n+UjasmWk3WWQ20zOSYq5Q2GxQcBVErmJUZaPqvRaDR/xROZvVBhWov+KwAAAABJRU5ErkJggg==","orcid":"","institution":"Ministry of National Guard Health Affairs (MNGHA)","correspondingAuthor":true,"prefix":"","firstName":"Muneera","middleName":"","lastName":"AlTaweel","suffix":""},{"id":545393674,"identity":"3989d99f-6c1f-44d1-b0c2-fe508189aba6","order_by":1,"name":"Ali Alshangiti","email":"","orcid":"","institution":"Ministry of National Guard Health Affairs (MNGHA)","correspondingAuthor":false,"prefix":"","firstName":"Ali","middleName":"","lastName":"Alshangiti","suffix":""},{"id":545393679,"identity":"d696b5cc-862b-4fc7-b33f-d1b3b772670d","order_by":2,"name":"Shahad Al-Raimi","email":"","orcid":"","institution":"Ministry of National Guard Health Affairs (MNGHA)","correspondingAuthor":false,"prefix":"","firstName":"Shahad","middleName":"","lastName":"Al-Raimi","suffix":""},{"id":545393682,"identity":"8b949dc0-d8ee-40a3-9ff7-91dafc390887","order_by":3,"name":"Fatimah Alabdulmohsen","email":"","orcid":"","institution":"Ministry of National Guard Health Affairs (MNGHA)","correspondingAuthor":false,"prefix":"","firstName":"Fatimah","middleName":"","lastName":"Alabdulmohsen","suffix":""},{"id":545393684,"identity":"4fec895e-bc6d-4f87-9746-c19ed26d1918","order_by":4,"name":"Waleed Gado","email":"","orcid":"","institution":"Ministry of National Guard Health Affairs (MNGHA)","correspondingAuthor":false,"prefix":"","firstName":"Waleed","middleName":"","lastName":"Gado","suffix":""},{"id":545393685,"identity":"4467a726-c60f-44a7-b0c9-cc118eb71ebf","order_by":5,"name":"Seham Khashwayn","email":"","orcid":"","institution":"King Abdullah International Medical Research Center","correspondingAuthor":false,"prefix":"","firstName":"Seham","middleName":"","lastName":"Khashwayn","suffix":""},{"id":545393686,"identity":"caeb1ef9-b6ae-4d39-971e-97d9ec3f197e","order_by":6,"name":"Ali Al Qarni","email":"","orcid":"","institution":"King Abdulaziz Hospital, MNGHA Alahsa","correspondingAuthor":false,"prefix":"","firstName":"Ali","middleName":"Al","lastName":"Qarni","suffix":""},{"id":545393687,"identity":"f7c40516-3b99-4a51-b6e9-746ee82ccaec","order_by":7,"name":"Sumaiyah Alsulaiman","email":"","orcid":"","institution":"Ministry of National Guard Health Affairs (MNGHA)","correspondingAuthor":false,"prefix":"","firstName":"Sumaiyah","middleName":"","lastName":"Alsulaiman","suffix":""},{"id":545393688,"identity":"e5cbf6d5-2dfb-48d0-a15c-0f803aa92de6","order_by":8,"name":"Ahmed AlDuwayrij","email":"","orcid":"","institution":"Ministry of National Guard Health Affairs (MNGHA)","correspondingAuthor":false,"prefix":"","firstName":"Ahmed","middleName":"","lastName":"AlDuwayrij","suffix":""},{"id":545393689,"identity":"15fbd2fa-0665-43c4-ae91-1d23f3430894","order_by":9,"name":"Fatema Al salman","email":"","orcid":"","institution":"Ministry of National Guard Health Affairs (MNGHA)","correspondingAuthor":false,"prefix":"","firstName":"Fatema","middleName":"Al","lastName":"salman","suffix":""},{"id":545393690,"identity":"1c3bd962-d67b-4ef0-8ad4-972a8719ae80","order_by":10,"name":"Yaqob Taleb","email":"","orcid":"","institution":"Ministry of National Guard Health Affairs (MNGHA)","correspondingAuthor":false,"prefix":"","firstName":"Yaqob","middleName":"","lastName":"Taleb","suffix":""},{"id":545393691,"identity":"462bc853-c38f-4663-8ef0-1591c66e4dcb","order_by":11,"name":"Ibrahim Altuwaim","email":"","orcid":"","institution":"Ministry of National Guard Health Affairs (MNGHA)","correspondingAuthor":false,"prefix":"","firstName":"Ibrahim","middleName":"","lastName":"Altuwaim","suffix":""},{"id":545393692,"identity":"62e897f0-81cc-4411-928f-1385b9069962","order_by":12,"name":"Noora Almannai","email":"","orcid":"","institution":"Ministry of National Guard Health Affairs (MNGHA)","correspondingAuthor":false,"prefix":"","firstName":"Noora","middleName":"","lastName":"Almannai","suffix":""},{"id":545393693,"identity":"1e1f9ea5-24e5-4de2-b200-f7c03e26f2b8","order_by":13,"name":"Abdulhadi AlQahtani","email":"","orcid":"","institution":"Ministry of National Guard Health Affairs (MNGHA)","correspondingAuthor":false,"prefix":"","firstName":"Abdulhadi","middleName":"","lastName":"AlQahtani","suffix":""},{"id":545393694,"identity":"48f40ebe-2fcc-4ae6-913d-d200f88bf170","order_by":14,"name":"Ayman Soliman","email":"","orcid":"","institution":"Ministry of National Guard Health Affairs (MNGHA)","correspondingAuthor":false,"prefix":"","firstName":"Ayman","middleName":"","lastName":"Soliman","suffix":""},{"id":545393695,"identity":"9f62eef0-c337-424c-b506-930c0eed0065","order_by":15,"name":"Tarek Nasef","email":"","orcid":"","institution":"Ministry of National Guard Health Affairs (MNGHA)","correspondingAuthor":false,"prefix":"","firstName":"Tarek","middleName":"","lastName":"Nasef","suffix":""},{"id":545393696,"identity":"b621666d-dfa4-4a73-8754-da2104706f56","order_by":16,"name":"Abdulmohsen Almusaad","email":"","orcid":"","institution":"King Abdulaziz Cardiac Center, King Abdulaziz Medical City, MNGHA","correspondingAuthor":false,"prefix":"","firstName":"Abdulmohsen","middleName":"","lastName":"Almusaad","suffix":""}],"badges":[],"createdAt":"2025-11-13 22:23:15","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8109179/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8109179/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":96248141,"identity":"de7aef5c-84da-4ea7-b9a7-0362a53fd0ca","added_by":"auto","created_at":"2025-11-19 07:28:06","extension":"docx","order_by":0,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":773215,"visible":true,"origin":"","legend":"","description":"","filename":"LVMIObesitySRdocx.docx","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/64e4bae92e1852f0e724e944.docx"},{"id":96043178,"identity":"2d6448cb-ab13-4036-8ccd-23480fa7ef4b","added_by":"auto","created_at":"2025-11-17 04:47:46","extension":"json","order_by":1,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":18378,"visible":true,"origin":"","legend":"","description":"","filename":"f61f0f7bea5e4ada88b99e99820b7506.json","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/fe36376ea8e78bd3575f26ce.json"},{"id":96043181,"identity":"15faa8bb-5eea-4578-80bd-0c64146a5970","added_by":"auto","created_at":"2025-11-17 04:47:46","extension":"xml","order_by":2,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":74723,"visible":true,"origin":"","legend":"","description":"","filename":"f61f0f7bea5e4ada88b99e99820b75061enriched.xml","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/831e7304c5a18d18008a8f08.xml"},{"id":96245988,"identity":"d69b2cdf-17c6-4392-8326-04fe8876248a","added_by":"auto","created_at":"2025-11-19 07:24:04","extension":"png","order_by":4,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":122286,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/02bfac169e1471d3e277d868.png"},{"id":96246438,"identity":"a2e879db-1db2-42e4-9fd5-c7216749ee5c","added_by":"auto","created_at":"2025-11-19 07:26:00","extension":"png","order_by":5,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":139195,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/5bd9c7792b9df04cd69590a4.png"},{"id":96043185,"identity":"e77d40ba-0ef4-4ef1-806e-1bcd86fd9fab","added_by":"auto","created_at":"2025-11-17 04:47:47","extension":"png","order_by":6,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":76908,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage3.png","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/236794a4825b80e4f8b32d35.png"},{"id":96043187,"identity":"4df19a36-7cb7-4975-993b-aa25017a5daa","added_by":"auto","created_at":"2025-11-17 04:47:47","extension":"jpeg","order_by":7,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":216083,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage4.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/62093c08eaf704c4450a6f8c.jpeg"},{"id":96043199,"identity":"957cb144-3fe1-441e-9ade-9d11022579c9","added_by":"auto","created_at":"2025-11-17 04:47:47","extension":"jpeg","order_by":8,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":259292,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage5.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/82b4f1020d265d934f77da8a.jpeg"},{"id":96043195,"identity":"527aa0df-7e4f-4f8f-9ee0-6b9c248f2c8b","added_by":"auto","created_at":"2025-11-17 04:47:47","extension":"png","order_by":9,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":73260,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage6.png","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/00abcc028ce6710dfc9bb495.png"},{"id":96246666,"identity":"1677a861-72ec-4462-af62-4e3328679598","added_by":"auto","created_at":"2025-11-19 07:26:28","extension":"jpeg","order_by":10,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":426299,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage7.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/db267c787ae04e3728a2e148.jpeg"},{"id":96043184,"identity":"decfd459-805c-4de5-a10b-fa3160b35f49","added_by":"auto","created_at":"2025-11-17 04:47:47","extension":"png","order_by":11,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":56976,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/7cb91fbb08746807b14c113d.png"},{"id":96043196,"identity":"b2c63c1a-c10d-49f1-a63c-30a87abfd590","added_by":"auto","created_at":"2025-11-17 04:47:47","extension":"png","order_by":12,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":19614,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/5a395283158bf5adf75a21fc.png"},{"id":96043186,"identity":"3d02dbd2-f580-4810-bdbc-c552e2c9f4c9","added_by":"auto","created_at":"2025-11-17 04:47:47","extension":"png","order_by":13,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":20420,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage3.png","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/7a0c40325c9d290ae4536437.png"},{"id":96245956,"identity":"5a7be2a0-f328-4b8b-b88b-e196de7f1e05","added_by":"auto","created_at":"2025-11-19 07:23:56","extension":"png","order_by":14,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":51809,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage4.png","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/8785396547b6d1b2b1c21753.png"},{"id":96043191,"identity":"fd3e224c-a08d-4632-a7c8-211054229754","added_by":"auto","created_at":"2025-11-17 04:47:47","extension":"png","order_by":15,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":59626,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage5.png","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/22035580de3f01036a1350b6.png"},{"id":96043193,"identity":"4c379d62-cea6-4e09-b526-dae3fe35ab77","added_by":"auto","created_at":"2025-11-17 04:47:47","extension":"png","order_by":16,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":22524,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage6.png","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/bf8dc9371e9628f2cd65f8d3.png"},{"id":96043200,"identity":"ca126ca5-8e17-4095-9ae0-1ceefc87d39b","added_by":"auto","created_at":"2025-11-17 04:47:47","extension":"png","order_by":17,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":78132,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage7.png","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/444b1ba77a029f54f969cb6e.png"},{"id":96043192,"identity":"01bd7e02-8277-4cae-9ea9-9c22ee26a014","added_by":"auto","created_at":"2025-11-17 04:47:47","extension":"xml","order_by":18,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":66920,"visible":true,"origin":"","legend":"","description":"","filename":"f61f0f7bea5e4ada88b99e99820b75061structuring.xml","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/f7faeee197426084482f48c1.xml"},{"id":96043197,"identity":"349ca499-8981-4e52-8004-64dc20dcc64c","added_by":"auto","created_at":"2025-11-17 04:47:47","extension":"html","order_by":19,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":84703,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/05822f4d1315fb988a0a0d3a.html"},{"id":96043175,"identity":"a368f370-8cee-4322-8a21-97e89b7e68c0","added_by":"auto","created_at":"2025-11-17 04:47:46","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":128026,"visible":true,"origin":"","legend":"\u003cp\u003eChanges in BMI and HbA1c from baseline to six-month follow-up.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eBoth BMI (kg/m²) and HbA1c (%) demonstrated significant improvement over six months (Wilcoxon signed-rank test). Values are expressed as median [IQR].\u003c/em\u003e\u003cbr\u003e\n\u003cem\u003eAbbreviations: BMI = Body Mass Index; HbA1c = Glycated Hemoglobin.\u003c/em\u003e\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/0973409dbfe1bcf9b3d1178a.png"},{"id":96246023,"identity":"2d3e6930-eec3-4167-9eb8-491bc1415c30","added_by":"auto","created_at":"2025-11-19 07:24:11","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":68812,"visible":true,"origin":"","legend":"\u003cp\u003eChanges in LV mass index (LVMI) from baseline to six-month follow-up.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eA significant increase in LVMI (g/m²) was observed over six months (p = 0.0022, Wilcoxon signed-rank test).\u003c/em\u003e\u003cbr\u003e\n\u003cem\u003eAbbreviations: LVMI = Left Ventricular Mass Index.\u003c/em\u003e\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/7813bd236157e12c3e72576a.png"},{"id":96247638,"identity":"b61054d8-aec2-4868-afca-a37f60797965","added_by":"auto","created_at":"2025-11-19 07:27:38","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":31630,"visible":true,"origin":"","legend":"\u003cp\u003eRelative wall thickness (RWT) patterns at baseline and at six-month follow-up.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eA) Distribution of LV geometry in the overall cohort: normal, concentric remodeling (CR), eccentric hypertrophy (EH), and concentric hypertrophy (CH).\u003c/em\u003e\u003cbr\u003e\n\u003cem\u003e(B) Prevalence of abnormal RWT by glucose-lowering therapy (no medication, metformin, dapagliflozin, sitagliptin). Values are expressed as percentages within each group.\u003c/em\u003e\u003cbr\u003e\n\u003cem\u003eAbbreviations: RWT = Relative Wall Thickness; CR = Concentric Remodeling; EH = Eccentric Hypertrophy; CH = Concentric Hypertrophy.\u003c/em\u003e\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/d011132040f92ce625bf493f.png"},{"id":96043183,"identity":"d6fc4c28-31af-4543-8124-51affa3feda4","added_by":"auto","created_at":"2025-11-17 04:47:47","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":139716,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eGender differences in left ventricular mass index (LVMI) and relative wall thickness (RWT) at baseline and six-month follow-up.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eBoth male and female participants experienced a mild, non-significant increase in LVMI and a slight decrease in RWT over six months.\u003c/em\u003e\u003cbr\u003e\n\u003cem\u003eAbbreviations: LVMI = Left Ventricular Mass Index; RWT = Relative Wall Thickness.\u003c/em\u003e\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/8ab59ac32992db3c9eb5753b.png"},{"id":96043176,"identity":"e94cd835-0ed5-4ed4-916c-36d41641f625","added_by":"auto","created_at":"2025-11-17 04:47:46","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":27253,"visible":true,"origin":"","legend":"\u003cp\u003eFlow of BMI and HbA1c change categories in relation to left ventricular (LV) remodeling outcomes.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eThe diagram shows how participants are distributed based on BMI and the direction of HbA1c change (improved, stable, worsened), along with their corresponding LV geometry patterns (CR, EH, CH) at the six-month follow-up.\u003cbr\u003e\nAbbreviations: BMI = Body Mass Index; HbA1c = Glycated Hemoglobin; CR = Concentric Remodeling; EH = Eccentric Hypertrophy; CH = Concentric Hypertrophy.\u003c/em\u003e\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/744d850ff047fe72b4567632.png"},{"id":96248169,"identity":"a2be3940-9062-47fb-a96e-def789c416c7","added_by":"auto","created_at":"2025-11-19 07:28:06","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":20862,"visible":true,"origin":"","legend":"\u003cp\u003eLeft-ventricular (LV) geometry patterns in patients receiving diabetes medications at baseline and six-month follow-up.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003ePatterns include normal geometry, concentric remodeling (CR), eccentric hypertrophy (EH), and concentric hypertrophy (CH). A significant overall change was observed (p = 0.03).\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eAbbreviations: DM = Diabetes Mellitus; CR = Concentric Remodeling; EH = Eccentric Hypertrophy; CH = Concentric Hypertrophy.\u003c/em\u003e\u003c/p\u003e","description":"","filename":"6.png","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/3fc7331321e59b79f22c8c11.png"},{"id":96256156,"identity":"7e3858fa-223d-4b44-accc-287fd9301aa0","added_by":"auto","created_at":"2025-11-19 07:49:41","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2160888,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8109179/v1/e4e0665c-624d-47ae-9125-85c60a6473eb.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Trajectories of Left Ventricular Mass and Wall Thickness in Obesity: Influence of HbA1c and Dapagliflozin Over Six Months","fulltext":[{"header":"Introduction","content":"\u003cp\u003eObesity is one of the most urgent global health issues and a key focus for preventive cardiology. Its prevalence has more than doubled since 1990 and continues to increase worldwide, affecting about 16% of adults as of 2022 (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e). The burden is especially high in the Middle East, where lifestyle changes have sped up the rise of cardiometabolic diseases (\u003cspan additionalcitationids=\"CR3\" citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e). In Saudi Arabia, obesity impacts nearly a quarter of adults, highlighting the need for early and coordinated strategies to reduce cardiovascular risk (\u003cspan additionalcitationids=\"CR3\" citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eObesity contributes to cardiovascular morbidity not only through traditional risk factors such as hypertension, dyslipidemia, and diabetes but also through direct structural effects on the myocardium. Increased cardiac preload and afterload, neurohormonal activation, and metabolic dysregulation collectively promote left ventricular (LV) hypertrophy and geometric remodeling (\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e). Echocardiographic indices like LV mass index (LVMI) and relative wall thickness (RWT) provide consistent measures of these structural changes (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e). Abnormal LV geometry, whether concentric remodeling, concentric hypertrophy, or eccentric hypertrophy, is strongly linked to heart failure, arrhythmia, and mortality (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eSeveral mechanisms connect obesity to LV remodeling, including changes in body composition, hemodynamic stress, and metabolic signaling (\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e). Population-based studies, such as the Study of Health in Pomerania (SHIP), have shown that increases in fat mass are associated with concentric remodeling, while gains in fat-free mass promote eccentric remodeling (\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e). These findings suggest that the type of weight change, rather than the total weight loss, may influence LV remodeling trajectories.\u003c/p\u003e\u003cp\u003eThe coexistence of type 2 diabetes mellitus (T2DM) further increases the risk of structural heart changes. Chronic high blood sugar causes myocardial fibrosis, endothelial dysfunction, and impaired relaxation, leading to increased LVMI and abnormal RWT (\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e). HbA1c acts as a reliable marker of long-term blood sugar control, and poor control has been independently associated with adverse remodeling (\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e). Conversely, better metabolic control has been linked to reduced LV hypertrophy and normalized heart structure in population studies such as the Framingham cohort (\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eRecent evidence highlights the heart-protective potential of specific glucose-lowering agents, especially sodium\u0026ndash;glucose cotransporter 2 (SGLT2) inhibitors. Large clinical trials such as DAPA-HF and EMPA-REG OUTCOME have shown significant reductions in LV mass and improvements in diastolic function among patients taking SGLT2 inhibitors, regardless of glycemic control (\u003cspan additionalcitationids=\"CR16 CR17\" citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e). These findings have made SGLT2 inhibition a promising preventive and therapeutic approach for obesity-related heart remodeling. Other agents, including metformin and dipeptidyl peptidase-4 (DPP-4) inhibitors, may also provide structural benefits, although the evidence is less strong (\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eDespite these advances, limited data describe the long-term impact of short-term metabolic improvements and glucose-lowering therapy on LV geometry in real-world obese populations, especially in non-diabetic or mixed metabolic cohorts. Prior regional studies have mainly been cross-sectional or focused on bariatric populations (\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e). Understanding how modest metabolic changes and pharmacologic exposures lead to measurable remodeling is essential for early preventive intervention.\u003c/p\u003e\u003cp\u003eAccordingly, the present study aimed to characterize the \u003cb\u003esix-month trajectories of LV mass and wall thickness in overweight and obese adults\u003c/b\u003e, evaluating the influence of HbA1c reduction and dapagliflozin exposure within a real-world preventive cardiology context. By integrating echocardiographic measures with metabolic indices, this research examines the structural effects of modest metabolic changes and highlights potential therapeutic pathways to reduce obesity-related cardiac remodeling.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003eStudy Design and Population\u003c/h2\u003e\u003cp\u003eThis was a \u003cb\u003eprospective longitudinal observational study\u003c/b\u003e conducted at King Abdulaziz Hospital, Ministry of National Guard Health Affairs (MNGHA), Al-Ahsa, Saudi Arabia, from January to December 2023. Adult patients (\u0026ge;\u0026thinsp;18 years) with a \u003cb\u003ebody mass index (BMI) of 25 kg/m\u0026sup2;\u003c/b\u003e or higher who underwent baseline and six-month follow-up echocardiography were consecutively enrolled from cardiology and metabolic clinics. The study adhered to the ethical principles of the Declaration of Helsinki and received approval from the \u003cb\u003eInstitutional Review Board of King Abdullah International Medical Research Center (KAIMRC; protocol number NRA23A/017/05)\u003c/b\u003e. Written informed consent was obtained from all participants.\u003c/p\u003e\u003c/div\u003e\n\u003ch3\u003eSample Size Determination\u003c/h3\u003e\n\u003cp\u003eSample size estimation was conducted using \u003cb\u003eG*Power 3.1\u003c/b\u003e, assuming a moderate effect size (Cohen\u0026rsquo;s f\u0026thinsp;=\u0026thinsp;0.25) for changes in LV geometry across BMI and HbA1c groups, with a two-sided α of 0.05 and 80% power. The necessary sample size was 260 participants. After accounting for attrition and exclusion criteria, \u003cb\u003e104 patients\u003c/b\u003e completed both assessments and were included in the analysis. Although underpowered for subgroup comparisons, this sample was sufficient for exploratory modeling of trends and associations.\u003c/p\u003e\n\u003ch3\u003eAnthropometric and Clinical Assessment\u003c/h3\u003e\n\u003cp\u003eDemographic and clinical data, including age, sex, comorbidities (notably hypertension and diabetes), and medication history, were collected from electronic medical records. Anthropometric measurements (height, weight, BMI) were recorded during both visits.\u003c/p\u003e\n\u003ch3\u003eLaboratory Tests\u003c/h3\u003e\n\u003cp\u003eFasting venous blood samples were collected to measure \u003cb\u003eglycated hemoglobin (HbA1c)\u003c/b\u003e using standardized lab assays in line with hospital quality control procedures. HbA1c was the main marker of long-term blood sugar control. For each participant, absolute values and six-month changes (ΔHbA1c) were calculated.\u003c/p\u003e\n\u003ch3\u003eEchocardiographic Assessment\u003c/h3\u003e\n\u003cp\u003eAll echocardiographic studies were performed using \u003cb\u003estandard transthoracic imaging\u003c/b\u003e in accordance with \u003cb\u003eASE/EACVI guidelines\u003c/b\u003e by experienced sonographers who were blinded to the patients\u0026rsquo; clinical data. Measurements were taken at end-diastole using M-mode and 2D imaging. Left ventricular mass (LVM) was calculated with the Devereux formula and indexed to body surface area to determine the \u003cb\u003eleft ventricular mass index (LVMI)\u003c/b\u003e. Relative wall thickness (RWT) was calculated as (2 \u0026times; posterior wall thickness) divided by the LV internal diameter in diastole. LV geometry was classified as follows:\u003c/p\u003e\u003cp\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003eNormal geometry\u003c/b\u003e: normal LVMI and RWT\u0026thinsp;\u0026lt;\u0026thinsp;0.42\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003eConcentric remodeling (CR)\u003c/b\u003e: normal LVMI, RWT\u0026thinsp;\u0026ge;\u0026thinsp;0.42\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003eEccentric hypertrophy (EH)\u003c/b\u003e: increased LVMI, RWT\u0026thinsp;\u0026lt;\u0026thinsp;0.42\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003eConcentric hypertrophy (CH)\u003c/b\u003e: increased LVMI, RWT\u0026thinsp;\u0026ge;\u0026thinsp;0.42\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/p\u003e\u003cp\u003eQuality control was ensured by independent verification of 10% of studies by a senior echocardiographer.\u003c/p\u003e\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\u003ch2\u003eMedication Exposure\u003c/h2\u003e\u003cp\u003eMedication data were collected through chart review and patient interviews. Special focus was given to \u003cb\u003eglucose-lowering therapies\u003c/b\u003e with potential structural or metabolic effects, such as \u003cb\u003emetformin, dapagliflozin\u003c/b\u003e, and \u003cb\u003esitagliptin\u003c/b\u003e. These medications were not classified as interventions but recorded as \u003cb\u003eexposure variables of interest\u003c/b\u003e. Their presence or absence at baseline and follow-up was used for categorical analysis.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec9\" class=\"Section2\"\u003e\u003ch2\u003eStatistical Analysis\u003c/h2\u003e\u003cp\u003eData were analyzed using \u003cb\u003eSAS version 9.4\u003c/b\u003e (SAS Institute Inc., Cary, NC, USA). Continuous variables were summarized as \u003cb\u003emean\u0026thinsp;\u0026plusmn;\u0026thinsp;standard deviation (SD)\u003c/b\u003e or \u003cb\u003emedian [interquartile range (IQR)]\u003c/b\u003e, and categorical variables as frequencies and percentages. Paired comparisons (baseline vs. follow-up) used the \u003cb\u003eWilcoxon signed-rank test\u003c/b\u003e for non-normally distributed variables and \u003cb\u003eMcNemar\u0026rsquo;s test\u003c/b\u003e for categorical outcomes. Between-group comparisons employed chi-square or Fisher\u0026rsquo;s exact tests, as appropriate.\u003c/p\u003e\u003cp\u003ePredictors of LV geometry changes were analyzed using \u003cb\u003emultinomial logistic regression with generalized estimating equations (GEE)\u003c/b\u003e to account for within-subject correlation over time. Covariates included age, sex, BMI change, HbA1c change, and medication exposure. For binary outcomes (e.g., normal versus abnormal RWT), binary logistic regression models were used. Statistical significance was defined as \u003cb\u003ep\u0026thinsp;\u0026lt;\u0026thinsp;0.05\u003c/b\u003e. Results are reported with β-coefficients, odds ratios, and 95% confidence intervals where applicable.\u003c/p\u003e\u003c/div\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cstrong\u003e1. Baseline Characteristics and Longitudinal Changes\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA total of \u003cstrong\u003e104 participants\u003c/strong\u003e were included in the final analysis, with a mean age of \u003cstrong\u003e65\u0026thinsp;\u0026plusmn;\u0026thinsp;11 years\u003c/strong\u003e; \u003cstrong\u003e67.1% were female\u003c/strong\u003e. The mean baseline \u003cstrong\u003eBMI was 34.4\u0026thinsp;\u0026plusmn;\u0026thinsp;10.1 kg/m\u0026sup2;\u003c/strong\u003e, and the mean \u003cstrong\u003eHbA1c was 7.7\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2%\u003c/strong\u003e. At six months, both BMI and HbA1c showed statistically significant improvements: BMI slightly decreased to \u003cstrong\u003e34.2\u0026thinsp;\u0026plusmn;\u0026thinsp;9.9 kg/m\u0026sup2; (p\u0026thinsp;=\u0026thinsp;0.0064)\u003c/strong\u003e, while HbA1c dropped to \u003cstrong\u003e6.9\u0026thinsp;\u0026plusmn;\u0026thinsp;2.8% (p\u0026thinsp;\u0026lt;\u0026thinsp;0.001)\u003c/strong\u003e.\u003c/p\u003e\n\u003cp\u003eIn contrast, the \u003cstrong\u003eleft ventricular mass index (LVMI)\u003c/strong\u003e increased significantly from \u003cstrong\u003e92.5\u0026thinsp;\u0026plusmn;\u0026thinsp;31.4 g/m\u0026sup2; to 100.6\u0026thinsp;\u0026plusmn;\u0026thinsp;34.2 g/m\u0026sup2; (p\u0026thinsp;=\u0026thinsp;0.0022)\u003c/strong\u003e, while \u003cstrong\u003erelative wall thickness (RWT)\u003c/strong\u003e showed a mild, non-significant decrease (\u003cstrong\u003e0.43\u0026thinsp;\u0026plusmn;\u0026thinsp;0.12 to 0.40\u0026thinsp;\u0026plusmn;\u0026thinsp;0.10; p\u0026thinsp;=\u0026thinsp;0.22\u003c/strong\u003e). These trends are demonstrated in Fig. \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e (BMI and HbA1c trajectories) and Fig. \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e (LVMI changes over time). The overall distribution of LV geometric patterns at baseline and follow-up is shown in Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003eA.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2. Predictors of Left Ventricular Remodeling\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMultinomial logistic regression analysis identified \u003cstrong\u003eage\u003c/strong\u003e and \u003cstrong\u003efemale sex\u003c/strong\u003e as significant predictors of concentric remodeling and hypertrophy. Each additional year of age was linked to increased odds of concentric hypertrophy (\u003cstrong\u003e\u0026beta;\u0026thinsp;=\u0026thinsp;0.0355; p\u0026thinsp;=\u0026thinsp;0.0473\u003c/strong\u003e) and concentric remodeling (\u003cstrong\u003e\u0026beta;\u0026thinsp;=\u0026thinsp;0.0408; p\u0026thinsp;=\u0026thinsp;0.0250\u003c/strong\u003e). Female sex was associated with higher odds of concentric hypertrophy compared to males (\u003cstrong\u003e\u0026beta;\u0026thinsp;=\u0026thinsp;1.1979; p\u0026thinsp;=\u0026thinsp;0.0454\u003c/strong\u003e).\u003c/p\u003e\n\u003cp\u003eFollow-up status (six months versus baseline) was linked to a dec\u003cstrong\u003erease in concentric remodeling\u003c/strong\u003e (\u003cstrong\u003e\u0026beta; = \u0026minus;0.7711; p\u0026thinsp;=\u0026thinsp;0.0442\u003c/strong\u003e), while exposure to \u003cstrong\u003eglucose-lowering medications\u003c/strong\u003e was associated with a marginal \u003cstrong\u003eincrease in eccentric hypertrophy\u003c/strong\u003e (\u003cstrong\u003e\u0026beta;\u0026thinsp;=\u0026thinsp;1.111; p\u0026thinsp;=\u0026thinsp;0.062\u003c/strong\u003e) and a decrease in concentric remodeling (\u003cstrong\u003e\u0026beta; = \u0026minus;0.823; p\u0026thinsp;=\u0026thinsp;0.061\u003c/strong\u003e). These remodeling patterns are shown in Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003eB and detailed in \u003cstrong\u003eTable\u0026nbsp;1\u003c/strong\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3. Remodeling Patterns by Medication Exposure\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAmong glucose-lowering therapies, \u003cstrong\u003emetformin\u003c/strong\u003e was prescribed in 44.2% of patients, \u003cstrong\u003esitagliptin\u003c/strong\u003e in 36.5%, and \u003cstrong\u003edapagliflozin\u003c/strong\u003e in 31.7%. Distinct remodeling trajectories were observed across these groups (Table \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e\n\u003ctable id=\"Tab1\" border=\"1\"\u003e\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003ePatients treated with \u003cstrong\u003edapagliflozin\u003c/strong\u003e showed a \u003cstrong\u003esignificant decrease in concentric remodeling\u003c/strong\u003e (from 21.9% to 11.1%) and an \u003cstrong\u003eincrease in eccentric hypertrophy\u003c/strong\u003e (from 12.2% to 40.7%; p\u0026thinsp;=\u0026thinsp;0.012). This pattern was not observed in users of metformin or sitagliptin alone. Overall, patients on any glucose-lowering therapy had a \u003cstrong\u003elower prevalence of abnormal RWT\u003c/strong\u003e compared with untreated patients (\u003cstrong\u003e42.6% vs. 51.5%; p\u0026thinsp;=\u0026thinsp;0.0135\u003c/strong\u003e). These findings are summarized in Fig. \u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e4. Gender-Specific Remodeling Trends\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eGender differences in remodeling dynamics were notable (Table 3, Fig. \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e). In female participants, a modest BMI reduction was paradoxically linked to increased LVMI (p\u0026thinsp;=\u0026thinsp;0.023), although there was no significant change in remodeling category. In contrast, male participants showed a \u003cstrong\u003etransition from concentric remodeling to eccentric hypertrophy\u003c/strong\u003e (p\u0026thinsp;=\u0026thinsp;0.018), with a corresponding decrease in RWT.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e5. Metabolic Parameters and RWT Risk\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAcross the cohort, reductions in BMI and HbA1c were independently linked to a lower prevalence of abnormal RWT. Patients who showed improvement in HbA1c had less RWT abnormality (56.6% \u0026rarr; 50.9%; p\u0026thinsp;=\u0026thinsp;0.041). GEE models confirmed that female sex, older age, and baseline geometry predicted higher RWT, while glucose-lowering therapy was associated with a significant decrease in the risk of abnormal RWT (\u0026beta; = \u0026minus;0.704; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001). \u003cstrong\u003eThese associations remained strong in multivariate analyses, and the relationship between glucose-lowering therapy and reduced RWT aligns with previous clinical and epidemiologic findings\u003c/strong\u003e (\u003cspan class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e19\u003c/span\u003e). Figure \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e illustrates the flow of BMI/HbA1c change categories and related LV remodeling outcomes. The full regression results are presented in \u003cstrong\u003eTable\u0026nbsp;4\u003c/strong\u003e.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThis prospective study offers new preventive-cardiology insights into the patterns of left-ventricular (LV) remodeling in overweight and obese adults, highlighting the interaction between metabolic control, glucose-lowering therapy, and heart structure adaptation. Over six months, even small reductions in BMI and HbA1c were linked to noticeable changes in LV geometry, emphasizing how sensitive cardiac structure is to short-term metabolic changes. Notably, dapagliflozin exposure was associated with positive remodeling trends, supporting emerging evidence of the cardioprotective effects of SGLT2 inhibition in both diabetic and non-diabetic populations.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMechanistic and Clinical Interpretation\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eOur findings emphasize the dual metabolic\u0026ndash;structural continuum that is central to obesity-related cardiovascular disease. Although BMI reduction was statistically significant but only modest in clinical impact, the simultaneous decrease in HbA1c and subsequent remodeling changes suggest that metabolic quality, rather than the amount of weight lost, may be what drives structural cardiac benefits. The paradoxical increase in LVMI despite improved glycemic status likely reflects physiological remodeling variability and redistribution of myocardial tissue, rather than pathological hypertrophy. This phenomenon is similar to observations from population studies showing that metabolic improvement may initially lead to LV mass reduction (9, 11, 14).\u003c/p\u003e\n\u003cp\u003eThe observed sex differences are clinically significant. Female participants showed higher baseline RWT and a greater tendency toward concentric hypertrophy, while male participants more frequently shifted from concentric to eccentric remodeling. These differences might reflect distinct hormonal and hemodynamic adaptation mechanisms and should promote sex-specific risk assessments in preventive strategies.\u003c/p\u003e\n\u003cp\u003eOur data also emphasize the pharmacologic effects of glucose-lowering therapy on LV geometry. Patients treated with dapagliflozin exhibited less concentric remodeling and a higher prevalence of eccentric hypertrophy, indicating improved LV compliance. These findings support the DAPA-HF and EMPA-REG OUTCOME trials, which showed reductions in LV mass and better diastolic function in SGLT2 inhibitor users (16\u0026ndash;18). The mechanisms behind the combined cardiometabolic benefits of these agents include improved myocardial energetics, decreased interstitial fibrosis, and osmotic unloading.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePreventive Cardiology Implications\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work supports the idea that early metabolic correction, especially glycemic control, may influence the shape of the heart muscle even before clear signs of cardiovascular disease appear. In preventive cardiology, adding SGLT2 inhibitors to treatment plans for obese, high-risk patients could be a targeted approach to prevent harmful heart remodeling and reduce future heart failure risk. Recognizing these early geometric changes provides an opportunity for timely intervention and echocardiographic monitoring as a preventive measure.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStudy Limitations\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eSeveral limitations should be considered. First, the sample size was small (n=104) and collected from a single center, which limits how well the results can be applied to other populations. The six-month follow-up period also prevents assessment of long-term remodeling stability. Second, medication exposure was observational rather than randomized, so confounding by indication cannot be ruled out. Third, we did not systematically measure body composition or physical activity, both of which could affect remodeling trajectories. Fourth, blood pressure data were obtained from clinical records rather than during simultaneous echocardiographic sessions, which may introduce variability. Finally, although standardized imaging and analysis protocols were followed, inter-observer variability could not be entirely eliminated.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFuture Directions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFuture studies should use larger, multi-center groups with longer follow-up and include detailed metabolic, hemodynamic, and imaging biomarkers. Using advanced techniques such as cardiac MRI, strain imaging, and adipokine profiling can help clarify the mechanistic links between metabolic control and LV structural changes. Randomized interventional trials evaluating SGLT2 inhibitors and other metabolic agents in non-diabetic obese populations would further improve understanding of causality and guide preventive strategies.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eIn this real-world preventive cardiology cohort, modest short-term improvements in BMI and HbA1c were accompanied by measurable, though varied, LV remodeling responses. Female sex and older age were linked to concentric patterns, while dapagliflozin exposure promoted a shift toward eccentric geometry and a lower prevalence of abnormal RWT. These findings highlight the importance of integrated cardiometabolic management and early pharmacologic intervention to reduce structural cardiac risk in obesity.\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgments\u003c/strong\u003e\u003cbr\u003e\u0026nbsp;The authors sincerely thank \u003cem\u003eRana Mohammed Faqihi\u003c/em\u003e and \u003cem\u003eRaneem Abdullah Alahmari\u003c/em\u003e for their dedicated efforts and technical expertise in echocardiography acquisition and analysis. Their contribution was invaluable to the successful completion of this study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNo external funding was received for this study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflicts of Interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no conflicts of interest related to this work.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthical Approval\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study was approved by the Institutional Review Board of the King Abdullah International Medical Research Center (KAIMRC; protocol number NRA23A/017/05). All procedures were conducted in accordance with the ethical principles of the Declaration of Helsinki (1975, and subsequent revisions). Written informed consent was obtained from all participants prior to enrollment.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Availability\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eDe-identified data and analytic outputs supporting the findings of this study are available from the corresponding author upon reasonable request.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eWorld Health Organization. \u003cem\u003eObesity and overweight.\u003c/em\u003e Available at: \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight\u003c/span\u003e\u003cspan address=\"https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (accessed 2024).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eGBD Eastern Mediterranean Region Obesity Collaborators. Burden of obesity in the Eastern Mediterranean Region: findings from the Global Burden of Disease 2015 study. \u003cem\u003eInt. J. Public. Health\u003c/em\u003e. \u003cb\u003e63\u003c/b\u003e, 165\u0026ndash;176. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s00038-017-1002-5\u003c/span\u003e\u003cspan address=\"10.1007/s00038-017-1002-5\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2018).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eDeNicola, E., Aburizaiza, O. S., Siddique, A., Khwaja, H. \u0026amp; Carpenter, D. O. Obesity and public health in the Kingdom of Saudi Arabia. \u003cem\u003eRev. Environ. Health\u003c/em\u003e. \u003cb\u003e30\u003c/b\u003e, 191\u0026ndash;205. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1515/reveh-2015-0008\u003c/span\u003e\u003cspan address=\"10.1515/reveh-2015-0008\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2015).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eAl Nasser, K. A., Alsaffar, Y. K., Al Hazmi, A. N. \u0026amp; Al Hazmi, A. Correlation between obesity and mental health status in Riyadh, Saudi Arabia. \u003cem\u003eCureus\u003c/em\u003e \u003cb\u003e16\u003c/b\u003e, e00 (2024).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003ePi-Sunyer, F. X. The obesity epidemic: pathophysiology and consequences of obesity. \u003cem\u003eObes. Res.\u003c/em\u003e \u003cb\u003e10\u003c/b\u003e (Suppl 2), 97S\u0026ndash;104S. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1038/oby.2002.202\u003c/span\u003e\u003cspan address=\"10.1038/oby.2002.202\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2002).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003ePowell-Wiley, T. M. et al. Obesity and cardiovascular disease: a scientific statement from the American Heart Association. \u003cem\u003eCirculation\u003c/em\u003e \u003cb\u003e143\u003c/b\u003e, e984\u0026ndash;e1010. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1161/CIR.0000000000000973\u003c/span\u003e\u003cspan address=\"10.1161/CIR.0000000000000973\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2021).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMarwick, T. H. The role of echocardiography in heart failure. \u003cem\u003eJ. Nucl. Med.\u003c/em\u003e \u003cb\u003e56\u003c/b\u003e (Suppl 4), 31S\u0026ndash;38S. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.2967/jnumed.114.150433\u003c/span\u003e\u003cspan address=\"10.2967/jnumed.114.150433\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2015).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eLavie, C. J. et al. Impact of echocardiographic left ventricular geometry on clinical prognosis. \u003cem\u003eProg Cardiovasc. Dis.\u003c/em\u003e \u003cb\u003e57\u003c/b\u003e, 3\u0026ndash;9. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.pcad.2014.05.003\u003c/span\u003e\u003cspan address=\"10.1016/j.pcad.2014.05.003\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2014).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eKorre, M. et al. Effect of body mass index on left ventricular mass in career male firefighters. \u003cem\u003eAm. J. Cardiol.\u003c/em\u003e \u003cb\u003e118\u003c/b\u003e, 1769\u0026ndash;1773. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.amjcard.2016.08.058\u003c/span\u003e\u003cspan address=\"10.1016/j.amjcard.2016.08.058\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2016).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eAlTaweel, M. S. et al. Clinical correlation of left ventricular geometric patterns at King Abdulaziz Hospital, Al-Ahsa, Eastern Province. \u003cem\u003eSer. Cardiol. Res.\u003c/em\u003e \u003cb\u003e5\u003c/b\u003e, 1\u0026ndash;7. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.54178/2768-5985.2023a6\u003c/span\u003e\u003cspan address=\"10.54178/2768-5985.2023a6\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2023).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMarkus, M. R. et al. Changes in body weight and composition are associated with changes in left ventricular geometry and function in the general population: the SHIP study. \u003cem\u003eCirc. Cardiovasc. Imaging\u003c/em\u003e. \u003cb\u003e10\u003c/b\u003e, e005544. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1161/CIRCIMAGING.116.005544\u003c/span\u003e\u003cspan address=\"10.1161/CIRCIMAGING.116.005544\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2017).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eSeferovic, J. P. et al. Increased left ventricular mass index is present in patients with type 2 diabetes without ischemic heart disease. \u003cem\u003eSci. Rep.\u003c/em\u003e \u003cb\u003e8\u003c/b\u003e, 926. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1038/s41598-018-19229-w\u003c/span\u003e\u003cspan address=\"10.1038/s41598-018-19229-w\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2018).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eLiu, J. E. et al. The impact of diabetes on left ventricular filling pattern in normotensive and hypertensive adults: the Strong Heart Study. \u003cem\u003eJ. Am. Coll. Cardiol.\u003c/em\u003e \u003cb\u003e37\u003c/b\u003e, 1943\u0026ndash;1949. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/S0735-1097(01)01230-X\u003c/span\u003e\u003cspan address=\"10.1016/S0735-1097(01)01230-X\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2001).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eKannel, W. B. \u0026amp; McGee, D. L. Diabetes and cardiovascular risk factors: the Framingham study. \u003cem\u003eCirculation\u003c/em\u003e;59:8\u0026ndash;13. (1979). \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1161/01.CIR.59.1.8\u003c/span\u003e\u003cspan address=\"10.1161/01.CIR.59.1.8\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eZhang, D. P., Xu, L., Wang, L. F., Wang, H. J. \u0026amp; Jiang, F. Effects of antidiabetic drugs on left ventricular function/dysfunction: a systematic review and network meta-analysis. \u003cem\u003eCardiovasc. Diabetol.\u003c/em\u003e \u003cb\u003e19\u003c/b\u003e, 10. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1186/s12933-020-0987-x\u003c/span\u003e\u003cspan address=\"10.1186/s12933-020-0987-x\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2020).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMcMurray, J. J. V. et al. Dapagliflozin in patients with heart failure and reduced ejection fraction. \u003cem\u003eN Engl. J. Med.\u003c/em\u003e \u003cb\u003e381\u003c/b\u003e, 1995\u0026ndash;2008. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1056/NEJMoa1911303\u003c/span\u003e\u003cspan address=\"10.1056/NEJMoa1911303\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2019).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eZinman, B. et al. Empagliflozin, cardiovascular outcomes, and mortality in type 2 diabetes. \u003cem\u003eN Engl. J. Med.\u003c/em\u003e \u003cb\u003e373\u003c/b\u003e, 2117\u0026ndash;2128. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1056/NEJMoa1504720\u003c/span\u003e\u003cspan address=\"10.1056/NEJMoa1504720\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2015).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eVerma, S. et al. Effect of empagliflozin on left ventricular mass and diastolic function in individuals with diabetes: a clue to the EMPA-REG OUTCOME trial. \u003cem\u003eDiabetes Care\u003c/em\u003e. \u003cb\u003e39\u003c/b\u003e, e212\u0026ndash;e213. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.2337/dc16-1312\u003c/span\u003e\u003cspan address=\"10.2337/dc16-1312\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2016).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eLv, J. et al. Relationship between left ventricular hypertrophy and diabetes is likely bidirectional: a temporality analysis. \u003cem\u003eJ. Am. Heart Assoc.\u003c/em\u003e \u003cb\u003e12\u003c/b\u003e, e028219. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1161/JAHA.122.028219\u003c/span\u003e\u003cspan address=\"10.1161/JAHA.122.028219\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2023).\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cstrong\u003eTable 1.\u003c/strong\u003e Baseline and follow-up clinical and echocardiographic characteristics.\u003cstrong\u003e\u003cimg width=\"653\" height=\"378\" src=\"data:image/png;base64,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\" alt=\"image\"\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eData are presented as mean \u0026plusmn; SD or median [IQR], as appropriate.\u003c/em\u003e\u003cbr\u003e\u0026nbsp;\u003cem\u003eAbbreviations: BMI = Body Mass Index; HbA1c = Glycated Hemoglobin; LVMI = Left Ventricular Mass Index; RWT = Relative Wall Thickness.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eTable 2.\u003c/strong\u003e Comparison of left-ventricular mass index (LVMI) and relative wall thickness (RWT) between female and male participants at baseline and six-month follow-up.\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"data:image/png;base64,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\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eData are expressed as mean \u0026plusmn; SD or median [IQR] as appropriate.\u003c/em\u003e\u003cbr\u003e\u003cem\u003eAbbreviations: LVMI = Left Ventricular Mass Index; RWT = Relative Wall Thickness.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eTable 3.\u003c/strong\u003e Effect of diabetes medications on relative wall thickness (RWT) at baseline and six-month follow-up.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cimg width=\"495\" height=\"151\" src=\"data:image/png;base64,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\" alt=\"image\"\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eData are presented as frequencies and percentages.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eAbbreviations: DM = Diabetes Mellitus; RWT = Relative Wall Thickness; CR = Concentric Remodeling; EH = Eccentric Hypertrophy; CH = Concentric Hypertrophy.\u003c/em\u003e\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"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":"Obesity, Preventive cardiology, Echocardiography, Left ventricular mass index, Relative wall thickness, HbA1c, Dapagliflozin","lastPublishedDoi":"10.21203/rs.3.rs-8109179/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8109179/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e\u003cp\u003eObesity and diabetes contribute synergistically to cardiac remodeling, yet the short-term structural trajectory of the left ventricle (LV) in response to modest metabolic improvement remains unclear. We examined the influence of HbA1c reduction and dapagliflozin exposure on LV mass index (LVMI) and wall thickness patterns in an obese population.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e\u003cp\u003eIn this six-month prospective cohort study at a tertiary center in Saudi Arabia, 104 overweight or obese adults (mean age 65\u0026thinsp;\u0026plusmn;\u0026thinsp;11 years; 67% female) underwent paired echocardiography and metabolic evaluation. LV geometry was classified as normal, concentric remodeling (CR), concentric hypertrophy (CH), or eccentric hypertrophy (EH) based on LVMI and relative wall thickness (RWT). Generalized estimating equations and multinomial logistic regression modeled predictors of remodeling, adjusting for age, gender, BMI, HbA1c changes, and exposure to glucose-lowering agents (metformin, sitagliptin, dapagliflozin).\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e\u003cp\u003eBMI decreased modestly (34.4 \u0026rarr; 34.2 kg/m\u0026sup2;; p\u0026thinsp;=\u0026thinsp;0.006) while HbA1c improved significantly (7.7 \u0026rarr; 6.9%; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001). LVMI paradoxically increased (92.5 \u0026rarr; 100.6 g/m\u0026sup2;; p\u0026thinsp;=\u0026thinsp;0.002), and RWT remained stable (0.43 \u0026rarr; 0.40; p\u0026thinsp;=\u0026thinsp;0.22). Female sex and older age predicted concentric hypertrophy. Males showed a shift from CR to EH (p\u0026thinsp;=\u0026thinsp;0.018). HbA1c reduction was associated with a lower prevalence of abnormal RWT (p\u0026thinsp;=\u0026thinsp;0.041). Dapagliflozin use correlated with decreased concentric remodeling (p\u0026thinsp;=\u0026thinsp;0.012) and greater EH prevalence, suggesting improved LV compliance.\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e\u003cp\u003eEven short-term metabolic improvement may translate into measurable structural adaptation of the LV. The observed sex-specific remodeling and the favorable geometric trends in dapagliflozin users support an integrated preventive approach targeting metabolic control to mitigate obesity-related cardiac remodeling.\u003c/p\u003e","manuscriptTitle":"Trajectories of Left Ventricular Mass and Wall Thickness in Obesity: Influence of HbA1c and Dapagliflozin Over Six Months","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-11-17 04:47:42","doi":"10.21203/rs.3.rs-8109179/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":"79e4ee31-9b62-480f-8596-86942e9673bd","owner":[],"postedDate":"November 17th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":58029875,"name":"Health sciences/Cardiology"},{"id":58029877,"name":"Health sciences/Diseases"},{"id":58029879,"name":"Health sciences/Endocrinology"},{"id":58029880,"name":"Health sciences/Medical research"}],"tags":[],"updatedAt":"2025-11-17T04:47:42+00:00","versionOfRecord":[],"versionCreatedAt":"2025-11-17 04:47:42","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8109179","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8109179","identity":"rs-8109179","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}