Peripheral blood leukocyte telomere length is associated with age but not renal function: A cross-sectional follow-up study

Wg, Zhang; Lp, Jia; Ma, Jing; Sy, Zhu; Ss, Nie; Kk, Song; Xm, Liu; Yp, Zhang; Cao, Deliang; Yang, Xiaoling; Dl, Zhao; Mj, Xiu; Li, Lin; Zx, Li; Huang, Qiu-Sha; Xz, Chen; Chen, L; Wang, P; Xj, Bai; Feng, Zhe; Fu, Binying; Hunag, J; Jp, Zhang; Gy, Cai; Sun, Xing‐Guo; Xm, Chen

doi:10.1007/s12603-017-0905-4

Cited by 9 publications

(9 citation statements)

References 31 publications

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“…Many researchers have reported that telomere lengths decrease during aging process, which points to the telomere length as a potential aging biomarker 91–93. We previously found a decrease of telomere length in both a cross-sectional study and a follow-up study 80,94. The telomere length decreases at a speed of 46 bp/year in a Chinese Han population 80.…”

Section: Criteria For Aging Biomarker Selectionmentioning

confidence: 78%

“…However, this decrease is not present in all the populations. In our study, ~27% of participants have unchanged or increasing telomere 80. Based on the benchmarks of telomere lengths and CA, we have successfully built a BA model by using the PCA method 28.…”

Section: Criteria For Aging Biomarker Selectionmentioning

confidence: 98%

“… 9 , 60 However, clinical biomarkers may lower the accuracy of the BA formula. 28 In recent years, various specific aging biomarkers have been found and used in BA estimation, such as genetic indicators, 26 , 28 , 77 – 80 molecular indicators, 81 , 82 and environmental factors. 83 – 85 …”

Section: Criteria For Aging Biomarker Selectionmentioning

confidence: 99%

“… 91 – 93 We previously found a decrease of telomere length in both a cross-sectional study and a follow-up study. 80 , 94 The telomere length decreases at a speed of 46 bp/year in a Chinese Han population. 80 However, this decrease is not present in all the populations.…”

Section: Criteria For Aging Biomarker Selectionmentioning

confidence: 99%

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Common methods of biological age estimation

Jia

Zhang

Chen

2017

CIA

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108

103

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At present, no single indicator could be used as a golden index to estimate aging process. The biological age (BA), which combines several important biomarkers with mathematical modeling, has been proposed for >50 years as an aging estimation method to replace chronological age (CA). The common methods used for BA estimation include the multiple linear regression (MLR), the principal component analysis (PCA), the Hochschild’s method, and the Klemera and Doubal’s method (KDM). The fundamental differences in these four methods are the roles of CA and the selection criteria of aging biomarkers. In MLR and PCA, CA is treated as the selection criterion and an independent index. The Hochschild’s method and KDM share a similar concept, making CA an independent variable. Previous studies have either simply constructed the BA model by one or compared the four methods together. However, reviews have yet to illustrate and compare the four methods systematically. Since the BA model is a potential estimation of aging for clinical use, such as predicting onset and prognosis of diseases, improving the elderly’s living qualities, and realizing successful aging, here we summarize previous BA studies, illustrate the basic statistical steps, and thoroughly discuss the comparisons among the four common BA estimation methods.

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Section: Criteria For Aging Biomarker Selectionmentioning

confidence: 78%

Section: Criteria For Aging Biomarker Selectionmentioning

confidence: 98%

Section: Criteria For Aging Biomarker Selectionmentioning

confidence: 99%

Section: Criteria For Aging Biomarker Selectionmentioning

confidence: 99%

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Common methods of biological age estimation

Jia

Zhang

Chen

2017

CIA

Self Cite

108

103

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“…Telomeres are the DNA–protein structures located at the end of chromosomes [ 3 ] ; in regularly, the telomere length of normal somatic cells is gradually shortened with the cell division. Several studies had proved that telomere length may be a biomarker for biological age and age-related diseases, [ 4 – 6 ] including some cancers, diabetes, chronic kidney diseases, Alzheimer's disease, hypertension, cardiovascular diseases. [ 7 – 13 ] Besides, study has showed that short telomere length is also closely related with early-onset and delayed carotid atherosclerosis.…”

Section: Introductionmentioning

confidence: 99%

Relationship between short telomere length and stroke

et al. 2018

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Background:Several epidemiological studies had been carried out in different population cohorts to estimate the relationship between the shortened telomere length and stroke. However, the results still remained dispute. Consequently, we conducted this meta-analysis to estimate the relationship between them.Methods:PubMed, EMBASE, and Web of Science were systematically searched for related articles to evaluate the association between “stroke” and “telomere length. STATA 12.0 software was used to perform the meta-analysis. The Cochran Q test and inconsistency index (I2) were used to assess the heterogeneity. Begg funnel plot and Egger test were used to assess publication bias.Results:The meta-analysis was composed of 11 studies, consisting of 25,340 participants. We found a significant relationship between shortened telomere length and stroke (OR: 1.50, 95% CI: 1.13–2.0; P = .005); however, in the prospective and retrospective study subgroup, we did not find a statistical significant relationship between shortened telomere length and stroke (the prospective subgroup: OR: 1.41, 95% CI: 1–1.98; P = .051) (the retrospective subgroup: OR: 1.89, 95% CI: 0.96–3.72; P = .067).

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