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      The antagonistic pleiotropy of insulin‐like growth factor 1

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          Abstract

          While insulin‐like growth factor‐1 (IGF‐1) is a well‐established modulator of aging and longevity in model organisms, its role in humans has been controversial. In this study, we used the UK Biobank ( n = 440,185) to resolve previous ambiguities in the relationship between serum IGF‐1 levels and clinical disease. We examined prospective associations of serum IGF‐1 with mortality, dementia, vascular disease, diabetes, osteoporosis, and cancer, finding two generalized patterns: First, IGF‐1 interacts with age to modify risk in a manner consistent with antagonistic pleiotropy; younger individuals with high IGF‐1 are protected from disease, while older individuals with high IGF‐1 are at increased risk for incident disease or death. Second, the association between IGF‐1 and risk is generally U‐shaped, indicating that both high and low levels of IGF‐1 may be detrimental. With the exception of a more uniformly positive relationship between IGF‐1 and cancer, these effects were remarkably consistent across a wide range of conditions, providing evidence for a unifying pathway that determines risk for most age‐associated diseases. These data suggest that IGF‐1 signaling could be harmful in older adults, who may actually benefit from the attenuation of biological growth pathways.

          Abstract

          Using a large dataset from the UK Biobank, we show that serum IGF‐1 is associated with risk for mortality and age‐associated morbidity in a manner consistent with antagonistic pleiotropy. While the risk associated with IGF‐1 is U‐shaped at all ages studied, the risk associated with high IGF‐1 increases with age, and the risk associated with low IGF‐1 decreases with age, suggesting that higher serum IGF‐1 may be beneficial in youth but harmful in older age.

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          Most cited references45

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          The Hallmarks of Aging

          Aging is characterized by a progressive loss of physiological integrity, leading to impaired function and increased vulnerability to death. This deterioration is the primary risk factor for major human pathologies, including cancer, diabetes, cardiovascular disorders, and neurodegenerative diseases. Aging research has experienced an unprecedented advance over recent years, particularly with the discovery that the rate of aging is controlled, at least to some extent, by genetic pathways and biochemical processes conserved in evolution. This Review enumerates nine tentative hallmarks that represent common denominators of aging in different organisms, with special emphasis on mammalian aging. These hallmarks are: genomic instability, telomere attrition, epigenetic alterations, loss of proteostasis, deregulated nutrient sensing, mitochondrial dysfunction, cellular senescence, stem cell exhaustion, and altered intercellular communication. A major challenge is to dissect the interconnectedness between the candidate hallmarks and their relative contributions to aging, with the final goal of identifying pharmaceutical targets to improve human health during aging, with minimal side effects. Copyright © 2013 Elsevier Inc. All rights reserved.
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            The UK Biobank resource with deep phenotyping and genomic data

            The UK Biobank project is a prospective cohort study with deep genetic and phenotypic data collected on approximately 500,000 individuals from across the United Kingdom, aged between 40 and 69 at recruitment. The open resource is unique in its size and scope. A rich variety of phenotypic and health-related information is available on each participant, including biological measurements, lifestyle indicators, biomarkers in blood and urine, and imaging of the body and brain. Follow-up information is provided by linking health and medical records. Genome-wide genotype data have been collected on all participants, providing many opportunities for the discovery of new genetic associations and the genetic bases of complex traits. Here we describe the centralized analysis of the genetic data, including genotype quality, properties of population structure and relatedness of the genetic data, and efficient phasing and genotype imputation that increases the number of testable variants to around 96 million. Classical allelic variation at 11 human leukocyte antigen genes was imputed, resulting in the recovery of signals with known associations between human leukocyte antigen alleles and many diseases.
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              Geroscience: linking aging to chronic disease.

              Mammalian aging can be delayed with genetic, dietary, and pharmacologic approaches. Given that the elderly population is dramatically increasing and that aging is the greatest risk factor for a majority of chronic diseases driving both morbidity and mortality, it is critical to expand geroscience research directed at extending human healthspan.
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                Author and article information

                Contributors
                sofiya.milman@einsteinmed.org
                Journal
                Aging Cell
                Aging Cell
                10.1111/(ISSN)1474-9726
                ACEL
                Aging Cell
                John Wiley and Sons Inc. (Hoboken )
                1474-9718
                1474-9726
                07 August 2021
                September 2021
                : 20
                : 9 ( doiID: 10.1111/acel.v20.9 )
                : e13443
                Affiliations
                [ 1 ] Department of Medicine Albert Einstein College of Medicine Bronx New York USA
                [ 2 ] Department of Genetics Albert Einstein College of Medicine Bronx New York USA
                [ 3 ] Department of Pathology University of Chicago Chicago Illinois USA
                [ 4 ] Department of Epidemiology and Population Health Albert Einstein College of Medicine Bronx New York USA
                [ 5 ] Department of Systems and Computational Biology Albert Einstein College of Medicine Bronx New York USA
                Author notes
                [*] [* ] Correspondence

                Sofiya Milman, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA.

                Email: sofiya.milman@ 123456einsteinmed.org

                Author information
                https://orcid.org/0000-0002-4372-5496
                Article
                ACEL13443
                10.1111/acel.13443
                8441393
                34363732
                5ee4aa7b-68c4-492d-b841-22ec24f98db7
                © 2021 The Authors. Aging Cell published by Anatomical Society and John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 21 June 2021
                : 20 April 2021
                : 08 July 2021
                Page count
                Figures: 6, Tables: 1, Pages: 12, Words: 8538
                Funding
                Funded by: National Institute on Aging , doi 10.13039/100000049;
                Award ID: K23AG051148
                Award ID: R01AG061155
                Award ID: T32AG023475‐18
                Funded by: Paul F. Glenn Center for Biology of Aging Research
                Funded by: American Federation for Aging Research , doi 10.13039/100000965;
                Categories
                Original Paper
                Original Papers
                Custom metadata
                2.0
                September 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.7 mode:remove_FC converted:15.09.2021

                Cell biology
                clinical outcomes,evolution,human aging,igf
                Cell biology
                clinical outcomes, evolution, human aging, igf

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