Decline in telomere length with increasing age across nonhuman vertebrates: A meta‐analysis

2021 ◽  
Author(s):  
Florentin Remot ◽  
Victor Ronget ◽  
Hannah Froy ◽  
Benjamin Rey ◽  
Jean‐Michel Gaillard ◽  
...  
Keyword(s):  
Telomere Length ◽  
Meta Analysis

Systematic review and meta‐analysis of the association between paediatric obesity and telomere length

2021 ◽  
Author(s):  
Li Lin ◽  
Kang Qin ◽  
Dezhong Chen ◽  
Ciyong Lu ◽  
Weiqing Chen ◽  
...  
Keyword(s):  
Systematic Review ◽  
Telomere Length ◽  
Meta Analysis ◽  
Paediatric Obesity

scholarly journals Perceived stress and telomere length: A systematic review, meta-analysis, and methodologic considerations for advancing the field

2016 ◽  
Vol 54 ◽  
pp. 158-169 ◽  
Author(s):  
Maya B. Mathur ◽  
Elissa Epel ◽  
Shelley Kind ◽  
Manisha Desai ◽  
Christine G. Parks ◽  
...  
Keyword(s):  
Systematic Review ◽  
Telomere Length ◽  
Perceived Stress ◽  
Meta Analysis

Leukocyte telomere length in patients with bipolar disorder: An updated meta-analysis and subgroup analysis by mood status

2018 ◽  
Vol 270 ◽  
pp. 41-49 ◽  
Author(s):  
Yu-Chi Huang ◽  
Liang-Jen Wang ◽  
Ping-Tao Tseng ◽  
Chi-Fa Hung ◽  
Pao-Yen Lin
Keyword(s):  
Bipolar Disorder ◽  
Telomere Length ◽  
Subgroup Analysis ◽  
Meta Analysis ◽  
Leukocyte Telomere Length

Abstract 4654: Telomere length as a biomarker of cancer risk: Review and meta-analysis

2011 ◽  
Author(s):  
Ingrid M. Wentzensen ◽  
Lisa Mirabello ◽  
Ruth M. Pfeiffer ◽  
Sharon A. Savage
Keyword(s):  
Cancer Risk ◽  
Telomere Length ◽  
Meta Analysis ◽  
Risk Review

scholarly journals Telomere length: how the length makes a difference

2020 ◽  
Vol 47 (9) ◽  
pp. 7181-7188 ◽  
Author(s):  
M. Lulkiewicz ◽  
J. Bajsert ◽  
P. Kopczynski ◽  
W. Barczak ◽  
B. Rubis
Keyword(s):  
Telomere Length ◽  
Meta Analysis ◽  
Telomerase Activity ◽  
Human Cells ◽  
Attrition Rate ◽  
Severe Damage ◽  
Telomere Attrition ◽  
Adult Men ◽  
Cell Life ◽  
Real Value

Abstract Telomerase is perceived as an immortality enzyme that might provide longevity to cells and whole organisms. Importantly, it is generally inactive in most somatic cells of healthy, adult men. Consequently, its substrates, i.e. telomeres, get shorter in most human cells with time. Noteworthy, cell life limitation due to telomere attrition during cell divisions, may not be as bad as it looks since longer cell life means longer exposition to harmful factors. Consequently, telomere length (attrition rate) becomes a factor that is responsible for inducing the signaling that leads to the elimination of cells that lived long enough to acquire severe damage. It seems that telomere length that depends on many different factors (including telomerase activity but also genetic factors, a hormonal profile that reflects sex, etc.) might become a useful marker of aging and exposition to stress. Thus in the current paper, we review the factors that affect telomere length in human cells focusing on sex that all together with different environmental and hormonal regulations as well as parental aspect affect telomere attrition rate. We also raise some limitations in the assessment of telomere length that hinders a trustworthy meta-analysis that might lead to acknowledgment of the real value of this parameter.

Adverse Birth Outcomes and Birth Telomere Length: A Systematic Review and Meta-Analysis

2019 ◽  
Vol 215 ◽  
pp. 64-74.e6 ◽  
Author(s):  
Zhongzheng Niu ◽  
Karen Li ◽  
Chuanbo Xie ◽  
Xiaozhong Wen
Keyword(s):  
Systematic Review ◽  
Telomere Length ◽  
Birth Outcomes ◽  
Meta Analysis ◽  
Adverse Birth Outcomes

scholarly journals Controlling for baseline telomere length biases estimates of the rate of telomere attrition

2019 ◽  
Vol 6 (10) ◽  
pp. 190937 ◽  
Author(s):  
Melissa Bateson ◽  
Dan T. A. Eisenberg ◽  
Daniel Nettle
Keyword(s):  
Measurement Error ◽  
Telomere Length ◽  
Statistical Models ◽  
Meta Analysis ◽  
Regression To The Mean ◽  
Inference Models ◽  
Telomere Attrition ◽  
The Mean ◽  
Invalid Inference ◽  
Over Time

Longitudinal studies have sought to establish whether environmental exposures such as smoking accelerate the attrition of individuals' telomeres over time. These studies typically control for baseline telomere length (TL) by including it as a covariate in statistical models. However, baseline TL also differs between smokers and non-smokers, and telomere attrition is spuriously linked to baseline TL via measurement error and regression to the mean. Using simulated datasets, we show that controlling for baseline TL overestimates the true effect of smoking on telomere attrition. This bias increases with increasing telomere measurement error and increasing difference in baseline TL between smokers and non-smokers. Using a meta-analysis of longitudinal datasets, we show that as predicted, the estimated difference in telomere attrition between smokers and non-smokers is greater when statistical models control for baseline TL than when they do not, and the size of the discrepancy is positively correlated with measurement error. The bias we describe is not specific to smoking and also applies to other exposures. We conclude that to avoid invalid inference, models of telomere attrition should not control for baseline TL by including it as a covariate. Many claims of accelerated telomere attrition in individuals exposed to adversity need to be re-assessed.

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