Rate of telomere shortening and cardiovascular damage: a longitudinal study in the 1946 British Birth Cohort.
Rate of telomere shortening and cardiovascular damage: a longitudinal study in the 1946 British Birth Cohort.
复制标题
端粒缩短和心血管损伤的速度:1946年英国出生队列的纵向研究。
DOI:
10.1093/eurheartj/ehu226
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发表时间:
2014-12-07
影响因子:
39.3
通讯作者:
NSHD scientific and data collection teams
中科院分区:
文献类型:
--
作者:
Masi S;D'Aiuto F;Martin-Ruiz C;Kahn T;Wong A;Ghosh AK;Whincup P;Kuh D;Hughes A;von Zglinicki T;Hardy R;Deanfield JE;NSHD scientific and data collection teams
Cross-sectional studies reported associations between short leucocyte telomere length (LTL) and measures of vascular and cardiac damage. However, the contribution of LTL dynamics to the age-related process of cardiovascular (CV) remodelling remains unknown. In this study, we explored whether the rate of LTL shortening can predict CV phenotypes over 10-year follow-up and the influence of established CV risk factors on this relationship. All the participants from the MRC National Survey of Health and Development (NSHD) with measures of LTL and traditional CV risk factors at 53 and 60–64 years and common carotid intima-media thickness (cIMT), cardiac mass and left ventricular function at 60–64 years were included. LTL was measured by real-time polymerase chain reaction and available at both time points in 1033 individuals. While LTL at 53 years was not linked with any CV phenotype at 60–64 years, a negative association was found between LTL and cIMT at 60–64 years (β = −0.017, P = 0.015). However, the strongest association was found between rate of telomere shortening between 53 and 60–64 years and values of cIMT at 60–64 years (β = −0.020, P = 0.006). This association was not affected by adjustment for traditional CV risk factors. Cardiac measurements were not associated with cross-sectional or longitudinal measures of LTL. These findings suggest that the rate of progression of cellular ageing in late midlife (reflected by the rate of LTL attrition) relates to vascular damage, independently from contribution of CV risk factor exposure.
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影响因子:
64.5
作者:
López-Otín C;Blasco MA;Partridge L;Serrano M;Kroemer G
通讯作者:
Kroemer G
影响因子:
3.7
作者:
Farzaneh-Far R;Lin J;Epel E;Lapham K;Blackburn E;Whooley MA
通讯作者:
Whooley MA
影响因子:
39.3
作者:
Engelen, Lian;Ferreira, Isabel;Briet, Marie
通讯作者:
Briet, Marie
影响因子:
5
作者:
Kuznetsova, Tatiana;Codd, Veryan;Samani, Nilesh J.
通讯作者:
Samani, Nilesh J.
影响因子:
37.8
作者:
Vasan RS;Demissie S;Kimura M;Cupples LA;White C;Gardner JP;Cao X;Levy D;Benjamin EJ;Aviv A
通讯作者:
Aviv A