Literature DB >> 29626501

Birth weight predicts aging trajectory: A hypothesis.

Alexander M Vaiserman1.   

Abstract

Increasing evidence suggests that risk for age-related disease and longevity can be programmed early in life. In human populations, convincing evidence has been accumulated indicating that intrauterine growth restriction (IUGR) resulting in low birth weight (<2.5 kg) followed by postnatal catch-up growth is associated with various aspects of metabolic syndrome, type 2 diabetes and cardiovascular disease in adulthood. Fetal macrosomia (birth weight > 4.5 kg), by contrast, is associated with high risk of non-diabetic obesity and cancers in later life. Developmental modification of epigenetic patterns is considered to be a central mechanism in determining such developmentally programmed phenotypes. Growth hormone/insulin-like growth factor (GH/IGF) axis is likely a key driver of these processes. In this review, evidence is discussed that suggests that different aging trajectories can be realized depending on developmentally programmed life-course dynamics of IGF-1. In this hypothetical scenario, IUGR-induced deficit of IGF-1 causes "diabetic" aging trajectory associated with various metabolic disorders in adulthood, while fetal macrosomia-induced excessive levels of IGF-1 lead to "cancerous" aging trajectory. If the above reasoning is correct, then both low and high birth weights are predictors of short life expectancy, while the normal birth weight is a predictor of "normal" aging and maximum longevity.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Aging; Birth weight; Developmental programming; Epigenetics; Insulin-like growth factor-1

Mesh:

Substances:

Year:  2018        PMID: 29626501     DOI: 10.1016/j.mad.2018.04.003

Source DB:  PubMed          Journal:  Mech Ageing Dev        ISSN: 0047-6374            Impact factor:   5.432


  5 in total

Review 1.  Telomere Length as a Marker of Biological Age: State-of-the-Art, Open Issues, and Future Perspectives.

Authors:  Alexander Vaiserman; Dmytro Krasnienkov
Journal:  Front Genet       Date:  2021-01-21       Impact factor: 4.599

2.  Birth weight modifies the relation between adulthood levels of insulin-like growth factor-1 and type 2 diabetes: a prospective cohort study.

Authors:  Tingting Geng; Mengying Wang; Xiang Li; Tao Zhou; Hao Ma; Vivian A Fonseca; Woon-Puay Koh; Tao Huang; Yoriko Heianza; Lu Qi
Journal:  BMJ Open Diabetes Res Care       Date:  2021-01

3.  Changing trends of birth weight with maternal age: a cross-sectional study in Xi'an city of Northwestern China.

Authors:  Shanshan Wang; Liren Yang; Li Shang; Wenfang Yang; Cuifang Qi; Liyan Huang; Guilan Xie; Ruiqi Wang; Mei Chun Chung
Journal:  BMC Pregnancy Childbirth       Date:  2020-11-30       Impact factor: 3.007

4.  Fetal macrosomia, fetal insulin, and insulin-like growth factor- 1 among neonates in Lagos, Nigeria: A case-control study.

Authors:  Olukayode O Akinmola; Babasola O Okusanya; Gbenga Olorunfemi; Henry C Okpara; Elaine C Azinge
Journal:  PLoS One       Date:  2022-08-24       Impact factor: 3.752

5.  Novel epigenetic link between gestational diabetes mellitus and macrosomia.

Authors:  Brian T Joyce; Huikun Liu; Leishen Wang; Jun Wang; Yinan Zheng; Drew Nannini; Alex Drong; Stephanie Shiau; Weiqin Li; Junhong Leng; Yun Shen; Ru Gao; Andrea Baccarelli; Gang Hu; Lifang Hou
Journal:  Epigenomics       Date:  2021-08-02       Impact factor: 4.357

  5 in total

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