The Characteristics of Telomere length and Mitochondrial DNA from Peripheral Blood in Unsmoked Chinese Parkinson’s disease Patients

The Characteristics of Telomere length and Mitochondrial DNA from Peripheral Blood in Unsmoked Chinese Parkinson’s disease Patients | 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 The Characteristics of Telomere length and Mitochondrial DNA from Peripheral Blood in Unsmoked Chinese Parkinson’s disease Patients Xiaofan Xue, Yuanhe Liu, Zhiyue Wu, Anqi Huang, Yanning Cai, Erhe Xu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7423787/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 Introduction : Telomere length and mitochondrial DNA (mtDNA) biomarkers (mtDNA copy number and mtDNA common deletion) are considered to be involved in age-related disorders and neurodegenerative diseases. The relationship and potential mechanism between these three aging-biomarkers and Parkinson’s disease (PD) is not yet fully understood. Method : This study aimed to measure the peripheral blood leukocyte telomere length, mtDNA copy number and mtDNA common deletion by quantitative polymerase chain reaction in PD patients and healthy controls. A total number of 64 PD patients were recruited from the Department of Neurology, Beijing Xuanwu Hospital for this study, and 65 controls were recruited from the community cohort. All individuals are nonsmokers and underwent neuropsychological tests to assess cognitive function. All patients underwent Hoehn-Yahr stages and Movement Disorder Society Unified Parkinson’s Disease Rating Scale Part 2/3. Results : The result showed that there were no significant differences about these three aging biomarkers between the PD patients and controls. However, the spearman correlation analysis showed that the telomere length was negatively correlated with age (PD: p=0.007; Control: p=0.021) and positively correlated with mtDNA copy number both in PDs (p<0.001) and healthy controls (p=0.016). In PD group, mtDNA common deletion was positively correlated with age (p=0.001) and was also positively correlated with mtDNA copy number (p=0.023). Discussion : There is a potential interaction between the telomere length and mtDNA copy number in all population. However, telomere length and mtDNA biomarkers might not be used as the risk factor for PD. With the increase of age in PD, the cell senescence and the mitochondrial dysfunction are aggravated, and the mtDNA common deletion is overloaded. Meanwhile, the mtDNA copy number is also increased with the increased mtDNA commom deletion, which may be a compensatory mechanism to maintain the stability of mitochondrial function under PD pathological conditions. Health sciences/Biomarkers Health sciences/Diseases Biological sciences/Genetics Health sciences/Neurology Biological sciences/Neuroscience Figures Figure 1 Figure 2 Figure 3 Background PD is a progressive nervous system disorder that affects movement, causing tremors, stiffness, or slowing. It is the second most common age-related neurogenerative disease affecting approximately 2% of the population aged over 60 years [ 1 , 2 ] . Aging is a complex process which involves several pathways, including proteostasis, telomere loss, and mitochondrial DNA damage [ 3 ] . Aging is characterized by a time-dependent progressive deterioration of an organism’s function, caused by the accumulation of deleterious changes throughout its lifetime [ 4 ] . Cellular aging markers, including telomere shortening and mitochondrial dysfunction, have been linked to age-related disorders and neurodegenerative diseases [ 5 – 7 ] . Telomeres are heterochromatin structures composed of tandem 5′-TTAGG-3′ repeats that cap chromosome ends and help maintain genomic stability [ 8 ] . Telomeres progressively shorten over time, eventually reaching a critical length that triggers cell-cycle arrest, senescence, or apoptosis [ 4 , 9 ] . Telomere shortening is widely recognized as a key aspect of aging biology. Although previous studies have associated both shortened and long telomeres with PD, their findings remain inconclusive [ 10 , 11 ] . The relationship between telomere length and PD, including its underlying mechanisms, still requires further investigation. Mitochondria are intracellular organelles involved in numerous metabolic pathways [ 12 ] . A progressive accumulation of mitochondrial defects has been observed throughout the aging process [ 13 ] . Although decreased mitochondrial DNA (mtDNA) copy number, higher loads of the mtDNA common deletion, and increased mtDNA mutations are part of natural aging, they have also been associated with age-related diseases and neurodegeneration in humans [ 7 , 14 – 17 ] . Accumulating evidence suggests that reduced mtDNA copy number and elevated mtDNA common deletions contribute to the pathogenesis of PD [ 18 – 20 ] . However, it remains unclear how age-related mitochondrial dysfunction triggers PD pathogenesis, whether and how telomeres and mtDNA interact, or whether these changes are secondary effects of other mechanisms. This study aimed to investigate the association between PD and three cellular aging biomarkers: telomere length, mtDNA copy number and mtDNA common deletion, using peripheral blood samples. Additionally, we investigated the relationship between telomere length and mtDNA biomarkers in both PD patients and control subjects. Methods and materials 2.1 Participants and clinical assessments A consecutive series of 64 PD patients were recruited from the Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China, during the period from March 2021 to July 2023. All patients were diagnosed with clinical or probable PD in line with the diagnostic criteria issued by the Movement Disorder Society (MDS), without consideration of their disease severity. Every diagnosis was verified by two neurologists who worked independently. The criteria for exclusion included arterial hypertension, diabetes mellitus, cerebrovascular diseases, other psychiatric disorders, severe systemic illnesses, and inadequate cooperation from patients. Motor symptoms were assessed using the Hoehn-Yahr (H-Y) stages and Part 2/3 scores of the MDS Unified Parkinson’s Disease Rating Scale (MDS-UPDRS). All the PD patients we evaluated non-motor symptoms using Non-Motor Symptom Scale (NMSS). Cognitive impairment was measured with the Montreal Cognitive Assessment (MoCA). Specifically, a total MoCA score of < 26—which demonstrates 90% sensitivity and 75% specificity—was adopted to identify PD-related mild cognitive impairment (PD-MCI); in comparison, a total score of < 21—with 81% sensitivity and 95% specificity—was used to diagnose PD-dementia [ 21 ] ) and the severity of depression in patients was evaluated using the Hamilton Depression Scale (HAMD). All the individuals including PD patients and controls (n = 65) are no smokers, and the exclusion criteria of healthy controls is same as PDs. The peripheral blood samples were previously collected in EDTA tubes. Genomic DNA was isolated from peripheral blood leukocytes. 2.2 Telomere, mtDNA copy number and mtDNA deletion assay Peripheral blood was collected in EDTA tubes and stored at − 80°C until DNA extraction. Genomic DNA was isolated using a commercial kit (Tiangen Large Volume Blood DNA Kit, OSR-M104) according to the manufacturer’s instructions. DNA concentration and purity were assessed with a Nanodrop 2000 spectrophotometer. Relative telomere length was assessed by quantitative PCR based on the method of Cawthon [ 22 ] , Telomeric repeats and a nuclear single-copy reference gene (albumin, alb) were amplified in parallel reactions using SYBR Green chemistry on a Roche LightCycler® 480 system (Roche Applied Science, Mannheim, Germany). The primer sequences were:Telomere: Tel1 (5′-ACACTAAGGTTTGGGTTTGGGTTTGGGTTTGGGTTAGTGT-3′), Tel2(5′-TGTTAGGTATCCCTATCCCTATCCCTATCCCTATCCCTAACA-3′);Albumin: alb1 (5′-CGGCGGCGGGCGGCGCGGGCTGGGCGGAAATGCTGCACAGAATCCTTG-3′), alb2 (5′-GCCCGGCCCGCCGCGCCCGTCCCGCCGGAAAAGCATGGTCGCCTGTT-3′).Thermal cycling conditions were optimized for our assay: for telomere reactions, 95°C for 5 min, followed by 2 preconditioning cycles (95°C for 15s, 30s annealing) and then 32 cycles of 95°C for 10 s, 63°C for 10 s, 72°C for 10s; for albumin reactions, 95°C for 3 min, followed by 40 cycles of 95°C for 10 s, 62°C for 30s. Mitochondrial DNA (mtDNA) copy number and the common deletion were determined by qPCR according to published protocols [ 23 – 25 ] ,using ND1 (outside the deletion region) and ND4 (within the deletion region) as mitochondrial targets, with albumin as the nuclear reference gene. The primer/probe sets were: ND1-F (5′-CCCTAAAACCCGCCACATCT-3′) ;ND1-R (5′-GAGCGATGGTGAGAG-CTAAGGT-3′) ; ND1-P(5′-VIC-CCATCACCCTCTACATCACCGCCC-3′); ND4-F (5′-CATTCTCCT-CCTATCCCTCAA-3′) ;ND4-R (5′-CACAATCTGATGTTTTGGTTAAACTATATT-3′) ; ND4-P(5′-FAM-CCGACATCATTACCGGGTTTTCCTCTTG-3′). Amplifications were carried out with the following cycling profile: 94℃ for 1 min, followed by 40 cycles of 95°C for 15 s and 64°C for 1 min (for both ND1 and ND4 assays). Each reaction contained 10 ng DNA in a total volume of 20 µl, and all samples were run in triplicate. Specificity of amplification was confirmed by melting curve analysis. The measures of telomere length, mtDNA copy number and mtDNA common deletion were determined by the ratio of telomere and mtDNA content to a reference single copy gene copy number (T/S ratio) in each sample relative to a reference sample. The telomere length is tel/alb, the mtDNA common deletion is ND1/ND4 and the mtDNA copy number is ND1/alb. All methods were carried out in accordance with relevant guidelines and regulations and all experimental protocols were approved by the Ethics Committee of Xuanwu Hospital, Capital Medical University. Informed consent was obtained from all subjects and/or their legal guardian(s). 2.3 Statistics This study was designed as a single-center cross-sectional cohort. Data analyses were performed with IBM SPSS Statistics version 26.0 (IBM Corp., Armonk, NY, USA). A two-sided p value below 0.05 was considered statistically significant.Continuous variables were first examined for distributional characteristics. Normally distributed data are presented as mean ± standard deviation (SD) and were compared between groups using independent-samples t tests. Variables that did not meet normality assumptions are expressed as median with interquartile range (IQR) and analyzed using the Mann–Whitney U test. Categorical variables, including sex and the proportion of participants with cognitive impairment, are shown as frequencies and percentages, and were compared using the Chi-square test or Fisher’s exact test as appropriate. Associations between telomere length, mtDNA markers, and clinical features were explored using Spearman rank correlation coefficients. To further evaluate independent relationships, multivariate linear regression analyses were also conducted with biomarker values as dependent variables and demographic or clinical covariates as predictors. Results 3.1 Patients and controls characteristics A total of 129 individuals (64 PD patients and 65 healthy controls) were included in the study. General demographic and cellular aging biomarkers were summarized in the Table 1. The patients’ median age at inclusion in the study was 65.078 (± 8.187) years, while the median age of controls was 65.521 (± 7.565) years. There were no significant differences about the telomere length and mtDNA biomarkers between the PD patients and controls. While the mtDNA biomarkers and telomere length showed no significant correlation between the male and female of all individuals. The spearman correlation analysis showed that telomere length was negatively correlated with age (r=-0.305, p < 0.001, Fig. 1 ) and was positively correlated with mtDNA copy number (r = 0.375, p < 0.001, Fig. 1 ). Furthermore, this study showed that age was positively correlated with mtDNA common deletion (r = 0.240, p = 0.006 < 0.05, Fig. 1 ). However, there was no correlation of age and mtDNA copy number in all individuals (p = 0.137), also telomere length with mtDNA common deletion (p = 0.162) and mtDNA copy number with mtDNA common deletion (p = 0.163). Our multivariate line regression analysis was consistent with the results by spearman correlation analysis. Table 1 PD (n = 64) Control (n = 65) t/X 2 P Age, years 65.078 ± 8.187 65.521 ± 7.565 -0.319 0.750 Gender, male (%) 31 (48.4%) 32 (49.2%) 0.928 1.000 Telomere length 1.257 ± 0.641 1.160 ± 0.366 1.059 0.292 mtDNA common deletion 0.958 ± 0.181 0.979 ± 0.093 -0.841 0.402 mtDNA copy number 2.793 ± 1.508 2.460 ± 0.681 1.623 0.107 Female (n = 66) Male (n = 63) t P Age, years 65.097 ± 7.872 65.514 ± 7.889 -0.300 0.764 Telomere length 1.231 ± 0.563 1.184 ± 0.477 0.508 0.612 mtDNA common deletion 0.953 ± 0.188 0.985 ± 0.071 -1.270 0.206 mtDNA copy number 2.658 ± 1.125 2.592 ± 1.232 0.317 0.752 3.2 The characteristic of aging biomarkers in controls A total of 65 healthy controls (33 females and 32 males) were included in the study. General cellular aging biomarkers were summarized in the Table 3. There were no significant differences about the telomere length, mtDNA copy number and mtDNA common deletion between the female and male. However, the spearman correlation analysis showed that telomere length was negatively correlated with age (r=-0.285, p = 0.021 < 0.05, Fig. 2 ) and telomere length was positively correlated with mtDNA copy number (r = 0.297, p = 0.016 < 0.05, Fig. 2 ). However, there was no correlation of age and mtDNA biomarkers in controls (age & mtDNA copy number p = 0.122; age & mtDNA common deletion p = 0.840). There was no significant relationship between the two mtDNA biomarkers (p = 0.839). Our multivariate line regression analysis were consist with the results by spearman correlation analysis. Table 2 Female (n = 33) Male (n = 32) t P Age, years 65.195 ± 7.913 65.856 ± 7.301 -0.350 0.728 Telomere length 1.192 ± 0.297 1.126 ± 0.428 0.730 0.468 mtDNA common deletion 0.958 ± 0.120 0.999 ± 0.044 -1.797 0.077 mtDNA copy number 2.481 ± 0.773 2.438 ± 0.523 0.253 0.801 3.3 The characteristic of aging biomarkers in PD patients A total of 64 PD patients (33 females and 31 males) were included in this study. General cellular aging biomarkers were summarized in the Table 3. There were no significant differences about the telomere length, mtDNA copy number and mtDNA common deletion between the female and male PD patients. However, the spearman correlation analysis showed that telomere length was negatively correlated with age (r=-0.335, p = 0.007 < 0.05, Fig. 3 ) and positively correlated with mtDNA copy number (r = 0.460, p < 0.001, Fig. 3 ). Furthermore, there was a positively correlation between age and mtDNA common deletion in PDs (r = 0.399, p = 0.001 < 0.05, Fig. 3 ). However, there was no correlation between age and the mtDNA copy number in all PDs (r=-0.084, p = 0.511, Fig. 3 ). Interestingly, there was a positively correlation between two mtDNA biomarkers in PDs (r = 0.283, p = 0.023 < 0.05, Fig. 3 ), which was not found in controls. Meanwhile, we divided all the PD patients to three groups according to their cognitive function (PD-NCI, PD-MCI and PDD), and compared the aging biomarkers between the controls and three PD groups. The results showed there were no significant differences about age, gender, telomere length, mtDNA common deletion and mtDNA copy number (Table.4). By the way, we divided all the PD groups to another three groups by the length of telomere (telomere length 2), and investigated the clinical characteristics within the different length of telomere in PD patients. The results showed that the medium telomere length group had the higher years of duration (p = 0.042 < 0.05, Table.5) and higher scores of MDS-UPDRS-3 (p = 0.034 < 0.05, Table.5) compared to other groups. Unfortunately, there were neither line correlation between the duration and telomere length, or between the MDS-UPDRS-3 score and telomere length. Discussion Telomeres are the extreme ends of chromosomal DNA, and they are involved in maintaining cellular stability [8, 26] . The telomere length in peripheral blood cells has been used as a marker of aging and age-related disorders [27] , and acceleration of telomere shortening in peripheral blood cells of age-related disease patient has been suggested to be related to increased systemic oxidative stress and chronic inflammation [28, 29] . There have been few conflicting studies about the relationship between telomere length and PD patients. Martin et al have reported that telomere length is shorter in PD patients than in age-matched healthy controls [30] . Another study has shown that telomere length is significantly shortened in Chinses PD patients than in controls and that the shortening of telomere length is independent of LRRK2 variants [31] . However, a study indicated that shorter telomeres are not associated with an increased risk of PD [32] and a meta-analysis also suggested that there is no consistent evidence of shorter telomeres in PD patients [33] . Our study showed that telomere length was negatively correlated with age both in PD patients and controls, which is consistent with the previous studies. Unfortunately, a significant shorter telomere length was not found in the PD group compared to controls in this study, and there was also no significant difference about the telomere length between the different gender and different cognitive level of PD patients. To the best of our knowledge, the length of telomere is affected by a great deal of factors, not only the age, but also the genetic background, gender, inflammation, oxidative stress, chronic diseases, smoking, alcohol consumption, anxiety, obesity and life style. Individual differences might be the cause for the conflicted results from previous studies. We selected the unsmoked individuals in our study and eliminated the relevant influencing factors as much as possible in order to minimize the effect on telomere length. However, the telomere length might not be used as a marker to predict the risk of PD in this study. Mitochondria are intracellular organelles which contribute to several metabolic pathways, and defective mitochondria have been found to be involved in many neurodegenerative disease especially in PD [34-36] . Several groups of investigation have reported inhibition of mitochondrial respiratory chain (in particular complex I) function in PD patients [37-39] and mitochondrial inhibitors (MPTP and rotenone) can cause clinical and neuropathological parkinsonian features. And intracellular alpha-synuclein accumulation is bi-directionally linked to mitochondrial dysfunction [40] . Alterations of mtDNA, including mtDNA copy number and mtDNA common deletions, involves genes that code for several complex I subunits, and so is a possible candidate for involvement in the pathogenesis of PD [35, 41] . The previous study indicated that the mtDNA copy number increases with age which reverse the effect of defective mitochondria accumulation. However, this compensatory mechanism declines in PD resulting in exhaustion of mtDNA copy number, which leads to respiratory deficiency in dopaminergic neurons [35] . Meanwhile, a high mtDNA common deletion burden has been observed has been observed in SN of PD patients. Ozawa et al. suggested that mtDNA common deletion in PD was 16 times that of control [42] . Unfortunately, our study did not show that the significant difference of mtDNA biomarker in the PD group compared to controls. However, we found that the mtDNA common deletion was positively correlated with age in PD group, and mtDNA common deletion was also positively correlated with mtDNA copy number in PD patients. This result indicated that with the increase of age in PD, the cell senescence and the mitochondrial dysfunction are aggravated, and the length of telomere is getting short, the mtDNA commom deletion is increased. And the mtDNA copy number is also increased with the increased mtDNA commom deletion , which may be a compensatory mechanism under PD pathological conditions. In the case of mitochondrial function imbalance, the mtDNA copy number might be increased to make up for the mitochondrial function in PD, which is the reason why this correlation was not found in the controls. There was a study showed that when the mtDNA copy number reaches the lower threshold, unknown factors trigger the upregulation of the mtDNA replication machinery that instigates replication to push the mtDNA copy number back up [43] . Although the mtDNA copy number compensates with the increase of mtDNA common deletion, it still might not improve the dysfunctional of mitochondria in PD patients. Interestingly, our study also found that telomere length was positively correlated with mtDNA copy number in PDs and controls. As far as the scope of my knowledge is concerned, telomere-mitochondria axis is argued to compromise metabolism and organ function, where telomere dysfunction triggers P53 and P16, which in turn affect mitochondrial biogenesis [44] . Shorter telomere length, more impaired mitochondrial function. In turn, longer telomere length, less impaired mitochondrial function and more mtDNA copy numbers. In a previous study with healthy individuals, Muhammad et al. showed that telomere length and mtDNA copy number were positively correlated [45] which is consistent with our result. This maybe an interactive effect to maintain the cell stability and function. There are still limitation to this study. First, this study was based on limited data because we ruled out smoking person and some diseases that might affect the telomere and mtDNA biomarkers. Moreover, it was only a single-center cross-sectional study that cannot observe the changing of aging-biomarkers in Chinese PD patients directly. So, these findings may not apply to other populations or ethnic groups. Therefore, a larger longitudinal study is required to confirm our conclusion. Second, we did not test the NOs, IL-6, TNF-α, mitochondrial-related biomarkers should be considered to further study, which should be well considered in the further study. Conclusion In summary, we observed that the telomere length was negatively correlated with age and positively correlated with mtDNA copy number both in PD and healthy control. In PD group, mtDNA common deletion was positively correlated with age and was also positively correlated with mtDNA copy number. However, telomere length and mtDNA biomarkers might not be used as the risk factor for PD. Gaining insight into which of these mechanisms underlies the interaction between the telomere and mtDNA biomarkers in PD could assist clinicians in determining optimal therapeutic approaches for patients. Declarations Funding Declaration There was no Funding. References Lee, A. & Gilbert, R. M. Epidemiology of Parkinson disease. Neurol Clin 2016; 34(4): 955-965. Simon, D. K., Tanner, C. M. & Brundin, P. 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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-7423787","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":530175527,"identity":"617e040b-80b7-4b6b-a948-e6865b5f643e","order_by":0,"name":"Xiaofan Xue","email":"","orcid":"","institution":"Xuan Wu Hospital of the Capital Medical University","correspondingAuthor":false,"prefix":"","firstName":"Xiaofan","middleName":"","lastName":"Xue","suffix":""},{"id":530175529,"identity":"f20237d2-a350-438d-92f9-5ff9e2facd72","order_by":1,"name":"Yuanhe Liu","email":"","orcid":"","institution":"Xuan Wu Hospital of the Capital Medical 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University","correspondingAuthor":false,"prefix":"","firstName":"Yanning","middleName":"","lastName":"Cai","suffix":""},{"id":530175536,"identity":"16ff978b-0eed-4921-930a-d593f2e20c53","order_by":5,"name":"Erhe Xu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAq0lEQVRIiWNgGAWjYJACZgYGGx5+/gbStKTJSM44QJqWwzYGDQlEKje4kXzsc0HFeR4DhgOMHz7mEKFFckZa8uwZZ27zmDM3MEvO3EaEFn6JHGNm3rbbPJYNB9iYeYnRwiaR/5mZ9985HoMDCURqAdrCzMzbcIAELZI9z4yZeY4l80jOONhMnF8Mjic/ZuapsbPn528++OEjMVqQAGMDaepHwSgYBaNgFOAGAIxhL9RlhOvbAAAAAElFTkSuQmCC","orcid":"","institution":"Xuan Wu Hospital of the Capital Medical University","correspondingAuthor":true,"prefix":"","firstName":"Erhe","middleName":"","lastName":"Xu","suffix":""}],"badges":[],"createdAt":"2025-08-21 08:08:42","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7423787/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7423787/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":93730657,"identity":"6e51e994-ae2f-47ee-9827-2919fa56a6a2","added_by":"auto","created_at":"2025-10-17 02:21:26","extension":"doc","order_by":0,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":457216,"visible":true,"origin":"","legend":"","description":"","filename":"20250921manuscript06.doc","url":"https://assets-eu.researchsquare.com/files/rs-7423787/v1/f8836e3be3477a56e10f0abf.doc"},{"id":93730654,"identity":"5f10998d-6449-459c-9e5b-91d6a008944f","added_by":"auto","created_at":"2025-10-17 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02:21:26","extension":"html","order_by":13,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":109246,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-7423787/v1/8295199fb4e5a08e028c3742.html"},{"id":93730652,"identity":"36fdb7f5-0023-4edf-bd84-ba2e9683b349","added_by":"auto","created_at":"2025-10-17 02:21:26","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":130345,"visible":true,"origin":"","legend":"\u003cp\u003eLegend not included with this version\u003c/p\u003e","description":"","filename":"floatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-7423787/v1/b08a94681d798b9900a78234.png"},{"id":93732280,"identity":"643dacc2-e56a-4bef-9003-a6ee2aa29f72","added_by":"auto","created_at":"2025-10-17 02:29:26","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":112404,"visible":true,"origin":"","legend":"\u003cp\u003eLegend not included with this version\u003c/p\u003e","description":"","filename":"floatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-7423787/v1/a7131c8f3ea996b4582fa581.png"},{"id":93730656,"identity":"f24e74f0-24c2-4b06-8b7c-96b4006c493d","added_by":"auto","created_at":"2025-10-17 02:21:26","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":196586,"visible":true,"origin":"","legend":"\u003cp\u003eLegend not included with this version\u003c/p\u003e","description":"","filename":"floatimage4.png","url":"https://assets-eu.researchsquare.com/files/rs-7423787/v1/50777c1120bcd5759f6f0779.png"},{"id":96348158,"identity":"bd073a18-ffe1-44b3-8b92-aa52f3ffcf32","added_by":"auto","created_at":"2025-11-20 06:39:04","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1173112,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7423787/v1/ccb41fc5-ff87-4d06-b0a0-7266eaaa7b14.pdf"},{"id":93730650,"identity":"a0e1a44c-e26f-449b-b438-889314715842","added_by":"auto","created_at":"2025-10-17 02:21:25","extension":"zip","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":1214754,"visible":true,"origin":"","legend":"","description":"","filename":"data.zip","url":"https://assets-eu.researchsquare.com/files/rs-7423787/v1/c5e15a35ba2f3c287223c0d9.zip"}],"financialInterests":"No competing interests reported.","formattedTitle":"The Characteristics of Telomere length and Mitochondrial DNA from Peripheral Blood in Unsmoked Chinese Parkinson’s disease Patients","fulltext":[{"header":"Background","content":"\u003cp\u003ePD is a progressive nervous system disorder that affects movement, causing tremors, stiffness, or slowing. It is the second most common age-related neurogenerative disease affecting approximately 2% of the population aged over 60 years\u003csup\u003e[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]\u003c/sup\u003e. Aging is a complex process which involves several pathways, including proteostasis, telomere loss, and mitochondrial DNA damage\u003csup\u003e[\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]\u003c/sup\u003e. Aging is characterized by a time-dependent progressive deterioration of an organism\u0026rsquo;s function, caused by the accumulation of deleterious changes throughout its lifetime\u003csup\u003e[\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]\u003c/sup\u003e. Cellular aging markers, including telomere shortening and mitochondrial dysfunction, have been linked to age-related disorders and neurodegenerative diseases\u003csup\u003e[\u003cspan additionalcitationids=\"CR6\" citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]\u003c/sup\u003e.\u003c/p\u003e\u003cp\u003eTelomeres are heterochromatin structures composed of tandem 5\u0026prime;-TTAGG-3\u0026prime; repeats that cap chromosome ends and help maintain genomic stability\u003csup\u003e[\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]\u003c/sup\u003e. Telomeres progressively shorten over time, eventually reaching a critical length that triggers cell-cycle arrest, senescence, or apoptosis\u003csup\u003e[\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]\u003c/sup\u003e. Telomere shortening is widely recognized as a key aspect of aging biology. Although previous studies have associated both shortened and long telomeres with PD, their findings remain inconclusive\u003csup\u003e[\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]\u003c/sup\u003e. The relationship between telomere length and PD, including its underlying mechanisms, still requires further investigation.\u003c/p\u003e\u003cp\u003eMitochondria are intracellular organelles involved in numerous metabolic pathways\u003csup\u003e[\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]\u003c/sup\u003e. A progressive accumulation of mitochondrial defects has been observed throughout the aging process\u003csup\u003e[\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]\u003c/sup\u003e. Although decreased mitochondrial DNA (mtDNA) copy number, higher loads of the mtDNA common deletion, and increased mtDNA mutations are part of natural aging, they have also been associated with age-related diseases and neurodegeneration in humans\u003csup\u003e[\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e, \u003cspan additionalcitationids=\"CR15 CR16\" citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]\u003c/sup\u003e. Accumulating evidence suggests that reduced mtDNA copy number and elevated mtDNA common deletions contribute to the pathogenesis of PD\u003csup\u003e[\u003cspan additionalcitationids=\"CR19\" citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]\u003c/sup\u003e. However, it remains unclear how age-related mitochondrial dysfunction triggers PD pathogenesis, whether and how telomeres and mtDNA interact, or whether these changes are secondary effects of other mechanisms.\u003c/p\u003e\u003cp\u003eThis study aimed to investigate the association between PD and three cellular aging biomarkers: telomere length, mtDNA copy number and mtDNA common deletion, using peripheral blood samples. Additionally, we investigated the relationship between telomere length and mtDNA biomarkers in both PD patients and control subjects.\u003c/p\u003e"},{"header":"Methods and materials","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003e2.1 Participants and clinical assessments\u003c/h2\u003e\u003cp\u003eA consecutive series of 64 PD patients were recruited from the Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China, during the period from March 2021 to July 2023. All patients were diagnosed with clinical or probable PD in line with the diagnostic criteria issued by the Movement Disorder Society (MDS), without consideration of their disease severity. Every diagnosis was verified by two neurologists who worked independently. The criteria for exclusion included arterial hypertension, diabetes mellitus, cerebrovascular diseases, other psychiatric disorders, severe systemic illnesses, and inadequate cooperation from patients. Motor symptoms were assessed using the Hoehn-Yahr (H-Y) stages and Part 2/3 scores of the MDS Unified Parkinson\u0026rsquo;s Disease Rating Scale (MDS-UPDRS). All the PD patients we evaluated non-motor symptoms using Non-Motor Symptom Scale (NMSS). Cognitive impairment was measured with the Montreal Cognitive Assessment (MoCA). Specifically, a total MoCA score of \u0026lt;\u0026thinsp;26\u0026mdash;which demonstrates 90% sensitivity and 75% specificity\u0026mdash;was adopted to identify PD-related mild cognitive impairment (PD-MCI); in comparison, a total score of \u0026lt;\u0026thinsp;21\u0026mdash;with 81% sensitivity and 95% specificity\u0026mdash;was used to diagnose PD-dementia\u003csup\u003e[\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]\u003c/sup\u003e) and the severity of depression in patients was evaluated using the Hamilton Depression Scale (HAMD). All the individuals including PD patients and controls (n\u0026thinsp;=\u0026thinsp;65) are no smokers, and the exclusion criteria of healthy controls is same as PDs. The peripheral blood samples were previously collected in EDTA tubes. Genomic DNA was isolated from peripheral blood leukocytes.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\u003ch2\u003e2.2 Telomere, mtDNA copy number and mtDNA deletion assay\u003c/h2\u003e\u003cp\u003ePeripheral blood was collected in EDTA tubes and stored at \u0026minus;\u0026thinsp;80\u0026deg;C until DNA extraction. Genomic DNA was isolated using a commercial kit (Tiangen Large Volume Blood DNA Kit, OSR-M104) according to the manufacturer\u0026rsquo;s instructions. DNA concentration and purity were assessed with a Nanodrop 2000 spectrophotometer. Relative telomere length was assessed by quantitative PCR based on the method of Cawthon\u003csup\u003e[\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]\u003c/sup\u003e, Telomeric repeats and a nuclear single-copy reference gene (albumin, alb) were amplified in parallel reactions using SYBR Green chemistry on a Roche LightCycler\u0026reg; 480 system (Roche Applied Science, Mannheim, Germany). The primer sequences were:Telomere: Tel1 (5\u0026prime;-ACACTAAGGTTTGGGTTTGGGTTTGGGTTTGGGTTAGTGT-3\u0026prime;), Tel2(5\u0026prime;-TGTTAGGTATCCCTATCCCTATCCCTATCCCTATCCCTAACA-3\u0026prime;);Albumin: alb1 (5\u0026prime;-CGGCGGCGGGCGGCGCGGGCTGGGCGGAAATGCTGCACAGAATCCTTG-3\u0026prime;), alb2 (5\u0026prime;-GCCCGGCCCGCCGCGCCCGTCCCGCCGGAAAAGCATGGTCGCCTGTT-3\u0026prime;).Thermal cycling conditions were optimized for our assay: for telomere reactions, 95\u0026deg;C for 5 min, followed by 2 preconditioning cycles (95\u0026deg;C for 15s, 30s annealing) and then 32 cycles of 95\u0026deg;C for 10 s, 63\u0026deg;C for 10 s, 72\u0026deg;C for 10s; for albumin reactions, 95\u0026deg;C for 3 min, followed by 40 cycles of 95\u0026deg;C for 10 s, 62\u0026deg;C for 30s.\u003c/p\u003e\u003cp\u003eMitochondrial DNA (mtDNA) copy number and the common deletion were determined by qPCR according to published protocols\u003csup\u003e[\u003cspan additionalcitationids=\"CR24\" citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]\u003c/sup\u003e,using ND1 (outside the deletion region) and ND4 (within the deletion region) as mitochondrial targets, with albumin as the nuclear reference gene. The primer/probe sets were: ND1-F (5\u0026prime;-CCCTAAAACCCGCCACATCT-3\u0026prime;) ;ND1-R (5\u0026prime;-GAGCGATGGTGAGAG-CTAAGGT-3\u0026prime;) ; ND1-P(5\u0026prime;-VIC-CCATCACCCTCTACATCACCGCCC-3\u0026prime;); ND4-F (5\u0026prime;-CATTCTCCT-CCTATCCCTCAA-3\u0026prime;) ;ND4-R (5\u0026prime;-CACAATCTGATGTTTTGGTTAAACTATATT-3\u0026prime;) ; ND4-P(5\u0026prime;-FAM-CCGACATCATTACCGGGTTTTCCTCTTG-3\u0026prime;). Amplifications were carried out with the following cycling profile: 94℃ for 1 min, followed by 40 cycles of 95\u0026deg;C for 15 s and 64\u0026deg;C for 1 min (for both ND1 and ND4 assays).\u003c/p\u003e\u003cp\u003eEach reaction contained 10 ng DNA in a total volume of 20 \u0026micro;l, and all samples were run in triplicate. Specificity of amplification was confirmed by melting curve analysis. The measures of telomere length, mtDNA copy number and mtDNA common deletion were determined by the ratio of telomere and mtDNA content to a reference single copy gene copy number (T/S ratio) in each sample relative to a reference sample. The telomere length is tel/alb, the mtDNA common deletion is ND1/ND4 and the mtDNA copy number is ND1/alb.\u003c/p\u003e\u003cp\u003e All methods were carried out in accordance with relevant guidelines and regulations and all experimental protocols were approved by the Ethics Committee of Xuanwu Hospital, Capital Medical University. Informed consent was obtained from all subjects and/or their legal guardian(s).\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec5\" class=\"Section2\"\u003e\u003ch2\u003e2.3 Statistics\u003c/h2\u003e\u003cp\u003eThis study was designed as a single-center cross-sectional cohort. Data analyses were performed with IBM SPSS Statistics version 26.0 (IBM Corp., Armonk, NY, USA). A two-sided p value below 0.05 was considered statistically significant.Continuous variables were first examined for distributional characteristics. Normally distributed data are presented as mean\u0026thinsp;\u0026plusmn;\u0026thinsp;standard deviation (SD) and were compared between groups using independent-samples t tests. Variables that did not meet normality assumptions are expressed as median with interquartile range (IQR) and analyzed using the Mann\u0026ndash;Whitney U test. Categorical variables, including sex and the proportion of participants with cognitive impairment, are shown as frequencies and percentages, and were compared using the Chi-square test or Fisher\u0026rsquo;s exact test as appropriate. Associations between telomere length, mtDNA markers, and clinical features were explored using Spearman rank correlation coefficients. To further evaluate independent relationships, multivariate linear regression analyses were also conducted with biomarker values as dependent variables and demographic or clinical covariates as predictors.\u003c/p\u003e\u003c/div\u003e"},{"header":"Results","content":"\u003cdiv id=\"Sec7\" class=\"Section2\"\u003e\u003ch2\u003e3.1 Patients and controls characteristics\u003c/h2\u003e\u003cp\u003eA total of 129 individuals (64 PD patients and 65 healthy controls) were included in the study. General demographic and cellular aging biomarkers were summarized in the Table\u0026nbsp;1. The patients\u0026rsquo; median age at inclusion in the study was 65.078 (\u0026plusmn;\u0026thinsp;8.187) years, while the median age of controls was 65.521 (\u0026plusmn;\u0026thinsp;7.565) years. There were no significant differences about the telomere length and mtDNA biomarkers between the PD patients and controls. While the mtDNA biomarkers and telomere length showed no significant correlation between the male and female of all individuals. The spearman correlation analysis showed that telomere length was negatively correlated with age (r=-0.305, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001, Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e) and was positively correlated with mtDNA copy number (r\u0026thinsp;=\u0026thinsp;0.375, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001, Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). Furthermore, this study showed that age was positively correlated with mtDNA common deletion (r\u0026thinsp;=\u0026thinsp;0.240, p\u0026thinsp;=\u0026thinsp;0.006\u0026thinsp;\u0026lt;\u0026thinsp;0.05, Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). However, there was no correlation of age and mtDNA copy number in all individuals (p\u0026thinsp;=\u0026thinsp;0.137), also telomere length with mtDNA common deletion (p\u0026thinsp;=\u0026thinsp;0.162) and mtDNA copy number with mtDNA common deletion (p\u0026thinsp;=\u0026thinsp;0.163). Our multivariate line regression analysis was consistent with the results by spearman correlation analysis.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"No\" id=\"Taba\" border=\"1\"\u003e\u003ccolgroup cols=\"5\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eTable\u0026nbsp;1\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003ePD (n\u0026thinsp;=\u0026thinsp;64)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eControl (n\u0026thinsp;=\u0026thinsp;65)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003et/X\u003c/em\u003e\u003csup\u003e\u003cem\u003e2\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003e\u003cem\u003eP\u003c/em\u003e\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eAge, years\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e65.078\u0026thinsp;\u0026plusmn;\u0026thinsp;8.187\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e65.521\u0026thinsp;\u0026plusmn;\u0026thinsp;7.565\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0.319\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.750\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eGender, male (%)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e31 (48.4%)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e32 (49.2%)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.928\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e1.000\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eTelomere length\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e1.257\u0026thinsp;\u0026plusmn;\u0026thinsp;0.641\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1.160\u0026thinsp;\u0026plusmn;\u0026thinsp;0.366\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1.059\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.292\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003emtDNA common deletion\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.958\u0026thinsp;\u0026plusmn;\u0026thinsp;0.181\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.979\u0026thinsp;\u0026plusmn;\u0026thinsp;0.093\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0.841\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.402\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003emtDNA copy number\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e2.793\u0026thinsp;\u0026plusmn;\u0026thinsp;1.508\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e2.460\u0026thinsp;\u0026plusmn;\u0026thinsp;0.681\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1.623\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.107\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003eFemale (n\u0026thinsp;=\u0026thinsp;66)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e\u003cb\u003eMale (n\u0026thinsp;=\u0026thinsp;63)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cb\u003et\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e\u003cb\u003eP\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eAge, years\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e65.097\u0026thinsp;\u0026plusmn;\u0026thinsp;7.872\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e65.514\u0026thinsp;\u0026plusmn;\u0026thinsp;7.889\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0.300\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.764\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eTelomere length\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e1.231\u0026thinsp;\u0026plusmn;\u0026thinsp;0.563\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1.184\u0026thinsp;\u0026plusmn;\u0026thinsp;0.477\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.508\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.612\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003emtDNA common deletion\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.953\u0026thinsp;\u0026plusmn;\u0026thinsp;0.188\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.985\u0026thinsp;\u0026plusmn;\u0026thinsp;0.071\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-1.270\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.206\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003emtDNA copy number\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e2.658\u0026thinsp;\u0026plusmn;\u0026thinsp;1.125\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e2.592\u0026thinsp;\u0026plusmn;\u0026thinsp;1.232\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.317\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.752\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\u003ch2\u003e3.2 The characteristic of aging biomarkers in controls\u003c/h2\u003e\u003cp\u003eA total of 65 healthy controls (33 females and 32 males) were included in the study. General cellular aging biomarkers were summarized in the Table\u0026nbsp;3. There were no significant differences about the telomere length, mtDNA copy number and mtDNA common deletion between the female and male. However, the spearman correlation analysis showed that telomere length was negatively correlated with age (r=-0.285, p\u0026thinsp;=\u0026thinsp;0.021\u0026thinsp;\u0026lt;\u0026thinsp;0.05, Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e) and telomere length was positively correlated with mtDNA copy number (r\u0026thinsp;=\u0026thinsp;0.297, p\u0026thinsp;=\u0026thinsp;0.016\u0026thinsp;\u0026lt;\u0026thinsp;0.05, Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). However, there was no correlation of age and mtDNA biomarkers in controls (age \u0026amp; mtDNA copy number p\u0026thinsp;=\u0026thinsp;0.122; age \u0026amp; mtDNA common deletion p\u0026thinsp;=\u0026thinsp;0.840). There was no significant relationship between the two mtDNA biomarkers (p\u0026thinsp;=\u0026thinsp;0.839). Our multivariate line regression analysis were consist with the results by spearman correlation analysis.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"No\" id=\"Tabb\" border=\"1\"\u003e\u003ccolgroup cols=\"5\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eTable\u0026nbsp;2\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eFemale (n\u0026thinsp;=\u0026thinsp;33)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eMale (n\u0026thinsp;=\u0026thinsp;32)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cem\u003et\u003c/em\u003e\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003e\u003cem\u003eP\u003c/em\u003e\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eAge, years\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e65.195\u0026thinsp;\u0026plusmn;\u0026thinsp;7.913\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e65.856\u0026thinsp;\u0026plusmn;\u0026thinsp;7.301\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e-0.350\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0.728\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eTelomere length\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e1.192\u0026thinsp;\u0026plusmn;\u0026thinsp;0.297\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e1.126\u0026thinsp;\u0026plusmn;\u0026thinsp;0.428\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0.730\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0.468\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003emtDNA common deletion\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e0.958\u0026thinsp;\u0026plusmn;\u0026thinsp;0.120\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e0.999\u0026thinsp;\u0026plusmn;\u0026thinsp;0.044\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e-1.797\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0.077\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003emtDNA copy number\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e2.481\u0026thinsp;\u0026plusmn;\u0026thinsp;0.773\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e2.438\u0026thinsp;\u0026plusmn;\u0026thinsp;0.523\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0.253\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0.801\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec9\" class=\"Section2\"\u003e\u003ch2\u003e3.3 The characteristic of aging biomarkers in PD patients\u003c/h2\u003e\u003cp\u003eA total of 64 PD patients (33 females and 31 males) were included in this study. General cellular aging biomarkers were summarized in the Table\u0026nbsp;3. There were no significant differences about the telomere length, mtDNA copy number and mtDNA common deletion between the female and male PD patients. However, the spearman correlation analysis showed that telomere length was negatively correlated with age (r=-0.335, p\u0026thinsp;=\u0026thinsp;0.007\u0026thinsp;\u0026lt;\u0026thinsp;0.05, Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e) and positively correlated with mtDNA copy number (r\u0026thinsp;=\u0026thinsp;0.460, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001, Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). Furthermore, there was a positively correlation between age and mtDNA common deletion in PDs (r\u0026thinsp;=\u0026thinsp;0.399, p\u0026thinsp;=\u0026thinsp;0.001\u0026thinsp;\u0026lt;\u0026thinsp;0.05, Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). However, there was no correlation between age and the mtDNA copy number in all PDs (r=-0.084, p\u0026thinsp;=\u0026thinsp;0.511, Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). Interestingly, there was a positively correlation between two mtDNA biomarkers in PDs (r\u0026thinsp;=\u0026thinsp;0.283, p\u0026thinsp;=\u0026thinsp;0.023\u0026thinsp;\u0026lt;\u0026thinsp;0.05, Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e), which was not found in controls. Meanwhile, we divided all the PD patients to three groups according to their cognitive function (PD-NCI, PD-MCI and PDD), and compared the aging biomarkers between the controls and three PD groups. The results showed there were no significant differences about age, gender, telomere length, mtDNA common deletion and mtDNA copy number (Table.4). By the way, we divided all the PD groups to another three groups by the length of telomere (telomere length\u0026thinsp;\u0026lt;\u0026thinsp;1, 2\u0026thinsp;\u0026ge;\u0026thinsp;telomere length\u0026thinsp;\u0026ge;\u0026thinsp;1, telomere length\u0026thinsp;\u0026gt;\u0026thinsp;2), and investigated the clinical characteristics within the different length of telomere in PD patients. The results showed that the medium telomere length group had the higher years of duration (p\u0026thinsp;=\u0026thinsp;0.042\u0026thinsp;\u0026lt;\u0026thinsp;0.05, Table.5) and higher scores of MDS-UPDRS-3 (p\u0026thinsp;=\u0026thinsp;0.034\u0026thinsp;\u0026lt;\u0026thinsp;0.05, Table.5) compared to other groups. Unfortunately, there were neither line correlation between the duration and telomere length, or between the MDS-UPDRS-3 score and telomere length.\u003c/p\u003e\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eTelomeres are the extreme ends of chromosomal DNA, and they are involved in maintaining cellular stability\u003csup\u003e[8, 26]\u003c/sup\u003e. The telomere length in peripheral blood cells has been used as a marker of aging and age-related disorders\u003csup\u003e[27]\u003c/sup\u003e, and acceleration of telomere shortening in peripheral blood cells of age-related disease patient has been suggested to be related to increased systemic oxidative stress and chronic inflammation\u003csup\u003e[28, 29]\u003c/sup\u003e. There have been few conflicting studies about the relationship between telomere length and PD patients. Martin et al have reported that telomere length is shorter in PD patients than in age-matched healthy controls\u003csup\u003e[30]\u003c/sup\u003e. Another study has shown that telomere length is significantly shortened in Chinses PD patients than in controls and that the shortening of telomere length is independent of LRRK2 variants\u003csup\u003e[31]\u003c/sup\u003e. However, a study indicated that shorter telomeres are not associated with an increased risk of PD\u003csup\u003e[32]\u003c/sup\u003e and a meta-analysis also suggested that there is no consistent evidence of shorter telomeres in PD patients\u003csup\u003e[33]\u003c/sup\u003e. Our study showed that telomere length was negatively correlated with age both in PD patients and controls, which is consistent with the previous studies. Unfortunately, a significant shorter telomere length was not found in the PD group compared to controls in this study, and there was also no significant difference about the telomere length between the different gender and different cognitive level of PD patients. To the best of our knowledge, the length of telomere is affected by a great deal of factors, not only the age, but also the genetic background, gender, inflammation, oxidative stress, chronic diseases, smoking, alcohol consumption, anxiety, obesity and life style. Individual differences might be the cause for the conflicted results from previous studies. We selected the unsmoked individuals in our study and eliminated the relevant influencing factors as much as possible in order to minimize the effect on telomere length. However, the telomere length might not be used as a marker to predict the risk of PD in this study. \u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMitochondria are intracellular organelles which contribute to several metabolic pathways, and defective mitochondria have been found to be involved in many neurodegenerative disease especially in PD\u003csup\u003e[34-36]\u003c/sup\u003e. Several groups of investigation have reported inhibition of mitochondrial respiratory chain (in particular complex I) function in PD patients\u003csup\u003e[37-39]\u003c/sup\u003e and mitochondrial inhibitors (MPTP and rotenone) can cause clinical and neuropathological parkinsonian features. And intracellular alpha-synuclein accumulation is bi-directionally linked to mitochondrial dysfunction\u003csup\u003e[40]\u003c/sup\u003e. Alterations of mtDNA, including mtDNA copy number and mtDNA common deletions, involves genes that code for several complex I subunits, and so is a possible candidate for involvement in the pathogenesis of PD\u003csup\u003e[35, 41]\u003c/sup\u003e. The previous study indicated that the mtDNA copy number increases with age which reverse the effect of defective mitochondria accumulation. However, this compensatory mechanism declines in PD resulting in exhaustion of mtDNA copy number, which leads to respiratory deficiency in dopaminergic neurons\u003csup\u003e[35]\u003c/sup\u003e. Meanwhile, a high mtDNA common deletion burden has been observed has been observed in SN of PD patients. Ozawa et al. suggested that mtDNA common deletion in PD was 16 times that of control\u003csup\u003e[42]\u003c/sup\u003e. Unfortunately, our study did not show that the significant difference of mtDNA biomarker in the PD group compared to controls. However, we found that the mtDNA common deletion was positively correlated with age in PD group, and mtDNA common deletion was also positively correlated with mtDNA copy number in PD patients. This result indicated that with the increase of age in PD, the cell senescence and the mitochondrial dysfunction are aggravated, and the length of telomere is getting short, the mtDNA commom deletion is increased. And the mtDNA copy number is also increased with the increased mtDNA commom deletion , which may be a compensatory mechanism under PD pathological conditions. In the case of mitochondrial function imbalance, the mtDNA copy number might be increased to make up for the mitochondrial function in PD, which is the reason why this correlation was not found in the controls. There was a study showed that when the mtDNA copy number reaches the lower threshold, unknown factors trigger the upregulation of the mtDNA replication machinery that instigates replication to push the mtDNA copy number back up\u003csup\u003e[43]\u003c/sup\u003e. Although the mtDNA copy number compensates with the increase of mtDNA common deletion, it still might not improve the dysfunctional of mitochondria in PD patients.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;Interestingly, our study also found that telomere length was positively correlated with mtDNA copy number in PDs and controls. As far as the scope of my knowledge is concerned, telomere-mitochondria axis is argued to compromise metabolism and organ function, where telomere dysfunction triggers P53 and P16, which in turn affect mitochondrial biogenesis\u003csup\u003e[44]\u003c/sup\u003e. Shorter telomere length, more impaired mitochondrial function. In turn, longer telomere length, less impaired mitochondrial function and more mtDNA copy numbers. In a previous study with healthy individuals, Muhammad et al. showed that telomere length and mtDNA copy number were positively correlated\u003csup\u003e[45]\u003c/sup\u003e which is consistent with our result. This maybe an interactive effect to maintain the cell stability and function.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;There are still limitation to this study. First, this study was based on limited data because we ruled out smoking person and some diseases that might affect the telomere and mtDNA biomarkers. Moreover, it was only a single-center cross-sectional study that cannot observe the changing of aging-biomarkers in Chinese PD patients directly. So, these findings may not apply to other populations or ethnic groups. Therefore, a larger longitudinal study is required to confirm our conclusion. Second, we did not test the NOs, IL-6, TNF-\u0026alpha;, mitochondrial-related biomarkers should be considered to further study, which should be well considered in the further study.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eIn summary, we observed that the telomere length was negatively correlated with age and positively correlated with mtDNA copy number both in PD and healthy control. In PD group, mtDNA common deletion was positively correlated with age and was also positively correlated with mtDNA copy number. However, telomere length and mtDNA biomarkers might not be used as the risk factor for PD. Gaining insight into which of these mechanisms underlies the interaction between the telomere and mtDNA biomarkers in PD could assist clinicians in determining optimal therapeutic approaches for patients.\u003c/p\u003e\n"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eFunding Declaration\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere was no Funding.\u003c/p\u003e\n"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eLee, A. \u0026amp; Gilbert, R. M. Epidemiology of Parkinson disease. Neurol Clin 2016; 34(4): 955-965.\u003c/li\u003e\n\u003cli\u003eSimon, D. K., Tanner, C. M. \u0026amp; Brundin, P. Parkinson disease epidemiology, pathology, genetics, and pathophysiology. Clin Geriatr Med 2020; 36(1):1-12.\u003c/li\u003e\n\u003cli\u003eKirkwood, T. B. Understanding the odd science of aging. 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Journal of Alzheimer\u0026rsquo;s Disease 2019; 70(4): 1133-1142.\u003c/li\u003e\n\u003cli\u003eD\u0026ouml;lle, C., Bindoff, L.A. \u0026amp; Tzoulis, C. 3,3\u0026prime;-Diaminobenzidine staining interferes with PCR-based DNA analysis. Sci Rep 2018; 8(1): 1272.\u003c/li\u003e\n\u003cli\u003eStrobel, S. et al. Astrocyte- and Microglia-Specific Mitochondrial DNA Deletions Levels in Sporadic Alzheimer\u0026apos;s Disease. J Alzheimers Dis 2019; 67(1): 149-157.\u003c/li\u003e\n\u003cli\u003eZakian, V.A. Telomeres: beginning to understand the end. Science. 1995; 270(5242):1601\u0026ndash;1607.\u003c/li\u003e\n\u003cli\u003eVaziri, H. et al. Evidence for a mitotic clock in human hematopoietic stem cells: loss of telomeric DNA with age. Proc Natl Acad Sci USA. 1994; 91(21): 9857\u0026ndash;9860.\u003c/li\u003e\n\u003cli\u003eAviv, A. Telomeres and human aging: facts and fibs. Sci Aging Knowledge Environ. 2004; 51:pe43.\u003c/li\u003e\n\u003cli\u003eZglinicki, T. V. Oxidative stress shortens telomeres. Trends Biochem Sci. 2002; 27(7): 339\u0026ndash;344.\u003c/li\u003e\n\u003cli\u003eMartin-Ruiz, C. et al. Senescence and inflammatory markers for predicting clinical progression in Parkinson\u0026rsquo;s disease: the ICICLE-PD study. J Parkinsons Dis 2020; 10(1): 193-206.\u003c/li\u003e\n\u003cli\u003eWu, Y. et al. Accelerated telomere shortening independent of LRRK2 variants in Chinese patients with Parkinson\u0026rsquo;s disease. Aging (Albany NY) 2020; 12(20): 20483-20492.\u003c/li\u003e\n\u003cli\u003eWang, H. et al. Telomere length and risk pf Parkinson\u0026rsquo;s disease. Mov Disord 2008; 23(2): 302-305.\u003c/li\u003e\n\u003cli\u003eForero, D. A. et al. Telomere length in Parkinson\u0026rsquo;s disease: a meta-analysis. Exp Gerontol 2016; 75: 53-55.\u003c/li\u003e\n\u003cli\u003eSchapira, A. H. Mitochondria in the aetiology and pathogen- esis of Parkinson\u0026rsquo;s disease. Lancet Neurol 2008; 7(1):97-109.\u003c/li\u003e\n\u003cli\u003eGiannoccaro, M. P., Morgia, C. L., Rizzo, G. \u0026amp; Carelli V. Mitochondrial DNA and primary mitochondrial dysfunction in Parkinson\u0026apos;s disease. Mov Disord 2017; 32(3):346-363.\u003c/li\u003e\n\u003cli\u003eRango, M. \u0026amp; Bresolin, N. Brain mitochondria, Aging, and Parkinson\u0026rsquo;s Disease. Genes (Basel). 2018; 9(5): 250.\u003c/li\u003e\n\u003cli\u003eSchapira, A. H., Hartley, A., Cleeter, M. W. \u0026amp; Cooper, J. M. Free radicals and mitochondrial dysfunction in Parkinson\u0026apos;s disease. Biochem Soci Trans 1993; 21(2): 367-370.\u003c/li\u003e\n\u003cli\u003eJenner, P., Dexter, D. T., Sian, J., Schapira, A. H. \u0026amp; Marsden, C. D. Oxidative stress as a cause of nigral cell death in Parkinson\u0026apos;s disease and incidental Lewy body disease. Ann Neurol 1992; 32 Suppl: S82-87.\u003c/li\u003e\n\u003cli\u003eDi Monte, D. A. Mitochondrial DNA and Parkinson\u0026apos;s disease. Neurology 1991; 41(5 Suppl 2): 38-42, discussion 42-43.\u003c/li\u003e\n\u003cli\u003eGiacomo, M. C. et al. The Role of Mitochondria in Neurodegenerative Diseases: the Lesson from Alzheimer\u0026rsquo;s Disease and Parkinson\u0026rsquo;s Disease. Molecular Neurobiology 2020; 57(7): 2959-2980. \u003c/li\u003e\n\u003cli\u003eWallace, D. C. Mitochondrial genetics: a paradigm for aging and degenerative diseases? Science 1992; 256(5057): 628-632.\u003c/li\u003e\n\u003cli\u003eOzawa, T. et al. Quantitative determination of deleted mitochondrial DNA relative to normal DNA in parkinsonian striatum by a kinetic PCR analysis. Biochem Biophys Res Commun 1990; 172(2): 483-489.\u003c/li\u003e\n\u003cli\u003eLaura, L. C. M., Deng, J. J., \u0026amp; Bai, Y. D. Number matters: control of mammalian mitochondrial DNA copy number. J. Genet. Genomics 2009; 36(3): 125-131.\u003c/li\u003e\n\u003cli\u003eSahin, E.et al.Telomere dysfunction induces metabolic and mitochondrial compromise. Nature 2011; 470(7334): 359-365.\u003c/li\u003e\n\u003cli\u003eHagman, M., Fristrup, B., Michelin, R., Krustrup, P. \u0026amp; Asghar, M. Football and team handball training postpone cellular aging in women. Sci. Rep 2021; 11(1): 11733.\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":"","lastPublishedDoi":"10.21203/rs.3.rs-7423787/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7423787/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eIntroduction\u003c/strong\u003e: Telomere length and mitochondrial DNA (mtDNA) biomarkers (mtDNA copy number and mtDNA common deletion) are considered to be involved in age-related disorders and neurodegenerative diseases. The relationship and potential mechanism between these three aging-biomarkers and Parkinson’s disease (PD) is not yet fully understood. \u003cstrong\u003eMethod\u003c/strong\u003e: This study aimed to measure the peripheral blood leukocyte telomere length, mtDNA copy number and mtDNA common deletion by quantitative polymerase chain reaction in PD patients and healthy controls. A total number of 64 PD patients were recruited from the Department of Neurology, Beijing Xuanwu Hospital for this study, and 65 controls were recruited from the community cohort. All individuals are nonsmokers and underwent neuropsychological tests to assess cognitive function. All patients underwent Hoehn-Yahr stages and Movement Disorder Society Unified Parkinson’s Disease Rating Scale Part 2/3.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults\u003c/strong\u003e: The result showed that there were no significant differences about these three aging biomarkers between the PD patients and controls. However, the spearman correlation analysis showed that the telomere length was negatively correlated with age (PD: p=0.007; Control: p=0.021) and positively correlated with mtDNA copy number both in PDs (p\u0026lt;0.001) and healthy controls (p=0.016). In PD group, mtDNA common deletion was positively correlated with age (p=0.001) and was also positively correlated with mtDNA copy number (p=0.023).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDiscussion\u003c/strong\u003e: There is a potential interaction between the telomere length and mtDNA copy number in all population. However, telomere length and mtDNA biomarkers might not be used as the risk factor for PD. With the increase of age in PD, the cell senescence and the mitochondrial dysfunction are aggravated, and the mtDNA common deletion is overloaded. Meanwhile, the mtDNA copy number is also increased with the increased mtDNA commom deletion, which may be a compensatory mechanism to maintain the stability of mitochondrial function under PD pathological conditions.\u003c/p\u003e","manuscriptTitle":"The Characteristics of Telomere length and Mitochondrial DNA from Peripheral Blood in Unsmoked Chinese Parkinson’s disease Patients","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-10-17 02:21:21","doi":"10.21203/rs.3.rs-7423787/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":"bd39d3f8-ad01-4ad7-be22-877451856da3","owner":[],"postedDate":"October 17th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":56359187,"name":"Health sciences/Biomarkers"},{"id":56359188,"name":"Health sciences/Diseases"},{"id":56359189,"name":"Biological sciences/Genetics"},{"id":56359190,"name":"Health sciences/Neurology"},{"id":56359191,"name":"Biological sciences/Neuroscience"}],"tags":[],"updatedAt":"2025-11-20T06:38:35+00:00","versionOfRecord":[],"versionCreatedAt":"2025-10-17 02:21:21","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7423787","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7423787","identity":"rs-7423787","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}