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Leukocyte Telomere Length Independently Predicts 3-Year Diabetes Risk in a Longitudinal Study of Chinese Population

Cellular aging markers, including telomere length and mitochondrial function, as well as oxidative stress and inflammation markers influence each other and form a complex network, which is affected in diabetes. However, it remains unknown whether these markers could independently predict future diab...

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Autores principales: Liu, Yiwen, Ma, Chifa, Li, Pingping, Ma, Chunxiao, He, Shuli, Ping, Fan, Zhang, Huabing, Li, Wei, Xu, Lingling, Li, Yuxiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085401/
https://www.ncbi.nlm.nih.gov/pubmed/32215181
http://dx.doi.org/10.1155/2020/9256107
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author Liu, Yiwen
Ma, Chifa
Li, Pingping
Ma, Chunxiao
He, Shuli
Ping, Fan
Zhang, Huabing
Li, Wei
Xu, Lingling
Li, Yuxiu
author_facet Liu, Yiwen
Ma, Chifa
Li, Pingping
Ma, Chunxiao
He, Shuli
Ping, Fan
Zhang, Huabing
Li, Wei
Xu, Lingling
Li, Yuxiu
author_sort Liu, Yiwen
collection PubMed
description Cellular aging markers, including telomere length and mitochondrial function, as well as oxidative stress and inflammation markers influence each other and form a complex network, which is affected in diabetes. However, it remains unknown whether these markers could independently predict future diabetes after adjustment for their mutual effects. We conducted a 3-year longitudinal study in a Chinese cohort that comprised 108 nondiabetic individuals at baseline. The 2-hour 75 g oral glucose tolerance tests were performed at baseline and at 3-year follow-up. At baseline, leukocyte telomere length (LTL) and mitochondrial DNA copy number (mtDNAcn) in leukocytes were determined using the polymerase chain reaction method. Tumor necrosis factor (TNF-α), interleukin-6, 8-hydroxy-2-deoxyguanosine levels, and superoxide dismutase (SOD) activity were measured by the enzyme-linked immunosorbent assay. Participants who developed diabetes at the 3-year follow-up (n = 28) had shorter LTL and higher levels of TNF-α and SOD activity at baseline. Baseline LTL was found to be independently associated with the development of diabetes at the 3-year follow-up after the adjustment for mtDNAcn, markers of oxidative stress and inflammation, and conventional diabetes risk factors. Our findings suggest that LTL is an independent predictor for 3-year diabetes risk, which might inform timely prevention and treatment of diabetes. Telomere shortening might be involved in the pathogenesis of diabetes independently of conventional diabetes risk factors, mtDNAcn, or oxidative stress and inflammation pathways.
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spelling pubmed-70854012020-03-25 Leukocyte Telomere Length Independently Predicts 3-Year Diabetes Risk in a Longitudinal Study of Chinese Population Liu, Yiwen Ma, Chifa Li, Pingping Ma, Chunxiao He, Shuli Ping, Fan Zhang, Huabing Li, Wei Xu, Lingling Li, Yuxiu Oxid Med Cell Longev Research Article Cellular aging markers, including telomere length and mitochondrial function, as well as oxidative stress and inflammation markers influence each other and form a complex network, which is affected in diabetes. However, it remains unknown whether these markers could independently predict future diabetes after adjustment for their mutual effects. We conducted a 3-year longitudinal study in a Chinese cohort that comprised 108 nondiabetic individuals at baseline. The 2-hour 75 g oral glucose tolerance tests were performed at baseline and at 3-year follow-up. At baseline, leukocyte telomere length (LTL) and mitochondrial DNA copy number (mtDNAcn) in leukocytes were determined using the polymerase chain reaction method. Tumor necrosis factor (TNF-α), interleukin-6, 8-hydroxy-2-deoxyguanosine levels, and superoxide dismutase (SOD) activity were measured by the enzyme-linked immunosorbent assay. Participants who developed diabetes at the 3-year follow-up (n = 28) had shorter LTL and higher levels of TNF-α and SOD activity at baseline. Baseline LTL was found to be independently associated with the development of diabetes at the 3-year follow-up after the adjustment for mtDNAcn, markers of oxidative stress and inflammation, and conventional diabetes risk factors. Our findings suggest that LTL is an independent predictor for 3-year diabetes risk, which might inform timely prevention and treatment of diabetes. Telomere shortening might be involved in the pathogenesis of diabetes independently of conventional diabetes risk factors, mtDNAcn, or oxidative stress and inflammation pathways. Hindawi 2020-03-09 /pmc/articles/PMC7085401/ /pubmed/32215181 http://dx.doi.org/10.1155/2020/9256107 Text en Copyright © 2020 Yiwen Liu et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Liu, Yiwen
Ma, Chifa
Li, Pingping
Ma, Chunxiao
He, Shuli
Ping, Fan
Zhang, Huabing
Li, Wei
Xu, Lingling
Li, Yuxiu
Leukocyte Telomere Length Independently Predicts 3-Year Diabetes Risk in a Longitudinal Study of Chinese Population
title Leukocyte Telomere Length Independently Predicts 3-Year Diabetes Risk in a Longitudinal Study of Chinese Population
title_full Leukocyte Telomere Length Independently Predicts 3-Year Diabetes Risk in a Longitudinal Study of Chinese Population
title_fullStr Leukocyte Telomere Length Independently Predicts 3-Year Diabetes Risk in a Longitudinal Study of Chinese Population
title_full_unstemmed Leukocyte Telomere Length Independently Predicts 3-Year Diabetes Risk in a Longitudinal Study of Chinese Population
title_short Leukocyte Telomere Length Independently Predicts 3-Year Diabetes Risk in a Longitudinal Study of Chinese Population
title_sort leukocyte telomere length independently predicts 3-year diabetes risk in a longitudinal study of chinese population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085401/
https://www.ncbi.nlm.nih.gov/pubmed/32215181
http://dx.doi.org/10.1155/2020/9256107
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