Literature DB >> 26774117

Circulating Concentrations of Growth Differentiation Factor 11 Are Heritable and Correlate With Life Span.

Yang Zhou1, Zixuan Jiang1, Elizabeth C Harris1, Jaxk Reeves2, Xianyan Chen2, Robert Pazdro3.   

Abstract

Growth differentiation factor 11 (GDF11) is member of the transforming growth factor β (TGF-β) superfamily of proteins. Circulating GDF11 concentrations appear to decline with age, and its depletion is associated with cardiac hypertrophy and other morbidities. Knowledge of GDF11 regulation is limited, and the effects of natural genetic variation on GDF11 levels are currently undefined. We tested whether genetic background determines serum GDF11 concentrations using two classical inbred mouse strains: C57BL/6J (B6) and BALB/cByJ (BALB). B6 mice exhibited significantly higher GDF11 levels than BALB mice, and these strain differences were consistent throughout the life span. Overall, interactions between age and genetic background determined GDF11 concentrations, which were unaffected by sex. We then surveyed a panel of 22 genetically diverse inbred mouse strains and discovered a sixfold range in GDF11 levels at middle age. We estimated that 74.52% of phenotypic variation in GDF11 levels was attributable to genetic background. We used the Mouse Phenome Database to screen for phenotypes that correlate with GDF11. Interestingly, GDF11 levels predicted median strain life spans. This study revealed high heritability of GDF11 levels. Furthermore, our correlative data suggest that GDF11 may serve as a novel predictor of mammalian life span.
© The Author 2016. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Anti-aging; Cardiovascular; Genetics; Hormones; Longevity.

Mesh:

Substances:

Year:  2016        PMID: 26774117     DOI: 10.1093/gerona/glv308

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  14 in total

Review 1.  The road ahead for health and lifespan interventions.

Authors:  Marta Gonzalez-Freire; Alberto Diaz-Ruiz; David Hauser; Jorge Martinez-Romero; Luigi Ferrucci; Michel Bernier; Rafael de Cabo
Journal:  Ageing Res Rev       Date:  2020-02-25       Impact factor: 10.895

Review 2.  The versatility and paradox of GDF 11.

Authors:  A Jamaiyar; W Wan; D M Janota; M K Enrick; W M Chilian; L Yin
Journal:  Pharmacol Ther       Date:  2017-02-14       Impact factor: 12.310

Review 3.  Biochemistry and Biology of GDF11 and Myostatin: Similarities, Differences, and Questions for Future Investigation.

Authors:  Ryan G Walker; Tommaso Poggioli; Lida Katsimpardi; Sean M Buchanan; Juhyun Oh; Sam Wattrus; Bettina Heidecker; Yick W Fong; Lee L Rubin; Peter Ganz; Thomas B Thompson; Amy J Wagers; Richard T Lee
Journal:  Circ Res       Date:  2016-04-01       Impact factor: 17.367

Review 4.  Molecular studies of exercise, skeletal muscle, and ageing.

Authors:  James A Timmons; Iain J Gallagher
Journal:  F1000Res       Date:  2016-06-02

5.  Lifelong exercise, but not short-term high-intensity interval training, increases GDF11, a marker of successful aging: a preliminary investigation.

Authors:  Bradley T Elliott; Peter Herbert; Nicholas Sculthorpe; Fergal M Grace; Daniel Stratton; Lawrence D Hayes
Journal:  Physiol Rep       Date:  2017-07-11

6.  GDF11 improves tubular regeneration after acute kidney injury in elderly mice.

Authors:  Ying Zhang; Qinggang Li; Dong Liu; Qi Huang; Guangyan Cai; Shaoyuan Cui; Xuefeng Sun; Xiangmei Chen
Journal:  Sci Rep       Date:  2016-10-05       Impact factor: 4.379

7.  Quantitation of circulating GDF-11 and β2-MG in aged patients with age-related impairment in cognitive function.

Authors:  Rungong Yang; Shuhong Fu; Liang Zhao; Bei Zhen; Ling Ye; Xiaolu Niu; Xiaoxia Li; Pumin Zhang; Jie Bai
Journal:  Clin Sci (Lond)       Date:  2017-07-07       Impact factor: 6.124

8.  Multi-omic analysis of signalling factors in inflammatory comorbidities.

Authors:  Hui Xiao; Krzysztof Bartoszek; Pietro Lio'
Journal:  BMC Bioinformatics       Date:  2018-11-30       Impact factor: 3.169

9.  Activin subfamily peptides predict chronological age in humans.

Authors:  Lady V Barrios-Silva; Mack Parnell; Zahida B Shinwari; Ghulam A Chaudhary; Thanasis Xenofontos; Angel van Bekhoven; Simon McArthur; Bradley T Elliott
Journal:  Physiol Rep       Date:  2018-09

Review 10.  Role of growth differentiation factor 11 in development, physiology and disease.

Authors:  Yonghui Zhang; Yong Wei; Dan Liu; Feng Liu; Xiaoshan Li; Lianhong Pan; Yi Pang; Dilong Chen
Journal:  Oncotarget       Date:  2017-08-14
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.