Literature DB >> 34370163

The San Diego Nathan Shock Center: tackling the heterogeneity of aging.

Gerald S Shadel1, Peter D Adams2, W Travis Berggren3, Jolene K Diedrich3, Kenneth E Diffenderfer3, Fred H Gage3, Nasun Hah3, Malene Hansen2, Martin W Hetzer3, Anthony J A Molina4, Uri Manor3, Kurt Marek3, David D O'Keefe3, Antonio F M Pinto, Alessandra Sacco2, Tatyana O Sharpee3, Maxim N Shokriev3, Stefania Zambetti3.   

Abstract

Understanding basic mechanisms of aging holds great promise for developing interventions that prevent or delay many age-related declines and diseases simultaneously to increase human healthspan. However, a major confounding factor in aging research is the heterogeneity of the aging process itself. At the organismal level, it is clear that chronological age does not always predict biological age or susceptibility to frailty or pathology. While genetics and environment are major factors driving variable rates of aging, additional complexity arises because different organs, tissues, and cell types are intrinsically heterogeneous and exhibit different aging trajectories normally or in response to the stresses of the aging process (e.g., damage accumulation). Tackling the heterogeneity of aging requires new and specialized tools (e.g., single-cell analyses, mass spectrometry-based approaches, and advanced imaging) to identify novel signatures of aging across scales. Cutting-edge computational approaches are then needed to integrate these disparate datasets and elucidate network interactions between known aging hallmarks. There is also a need for improved, human cell-based models of aging to ensure that basic research findings are relevant to human aging and healthspan interventions. The San Diego Nathan Shock Center (SD-NSC) provides access to cutting-edge scientific resources to facilitate the study of the heterogeneity of aging in general and to promote the use of novel human cell models of aging. The center also has a robust Research Development Core that funds pilot projects on the heterogeneity of aging and organizes innovative training activities, including workshops and a personalized mentoring program, to help investigators new to the aging field succeed. Finally, the SD-NSC participates in outreach activities to educate the general community about the importance of aging research and promote the need for basic biology of aging research in particular.
© 2021. American Aging Association.

Entities:  

Keywords:  Aging; Heterogeneity; Human cohort; Machine learning; Organoids; Single-cell analysis

Mesh:

Year:  2021        PMID: 34370163      PMCID: PMC8599742          DOI: 10.1007/s11357-021-00426-x

Source DB:  PubMed          Journal:  Geroscience        ISSN: 2509-2723            Impact factor:   7.713


  47 in total

Review 1.  Heterogeneity and its biodemographic implications for longevity and mortality.

Authors:  B A Carnes; S J Olshansky
Journal:  Exp Gerontol       Date:  2001-03       Impact factor: 4.032

Review 2.  Stochastic modulations of the pace and patterns of ageing: impacts on quasi-stochastic distributions of multiple geriatric pathologies.

Authors:  George M Martin
Journal:  Mech Ageing Dev       Date:  2011-09-22       Impact factor: 5.432

Review 3.  Confronting cellular heterogeneity in studies of protein metabolism and homeostasis in aging research.

Authors:  Louise Boisen; Peter Kristensen
Journal:  Adv Exp Med Biol       Date:  2010       Impact factor: 2.622

Review 4.  Increased molecular damage and heterogeneity as the basis of aging.

Authors:  Suresh I S Rattan
Journal:  Biol Chem       Date:  2008-03       Impact factor: 3.915

5.  Caenorhabditis elegans Genes Affecting Interindividual Variation in Life-span Biomarker Gene Expression.

Authors:  Alexander Mendenhall; Matthew M Crane; Patricia M Tedesco; Thomas E Johnson; Roger Brent
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2017-10-01       Impact factor: 6.053

Review 6.  How the effects of aging and stresses of life are integrated in mortality rates: insights for genetic studies of human health and longevity.

Authors:  Anatoliy I Yashin; Konstantin G Arbeev; Liubov S Arbeeva; Deqing Wu; Igor Akushevich; Mikhail Kovtun; Arseniy Yashkin; Alexander Kulminski; Irina Culminskaya; Eric Stallard; Miaozhu Li; Svetlana V Ukraintseva
Journal:  Biogerontology       Date:  2015-08-18       Impact factor: 4.277

Review 7.  Satellite Cell Heterogeneity in Skeletal Muscle Homeostasis.

Authors:  Matthew T Tierney; Alessandra Sacco
Journal:  Trends Cell Biol       Date:  2016-03-03       Impact factor: 20.808

8.  Stochastic and genetic factors influence tissue-specific decline in ageing C. elegans.

Authors:  Laura A Herndon; Peter J Schmeissner; Justyna M Dudaronek; Paula A Brown; Kristin M Listner; Yuko Sakano; Marie C Paupard; David H Hall; Monica Driscoll
Journal:  Nature       Date:  2002-10-24       Impact factor: 49.962

9.  Heterogeneity of Human Aging and Its Assessment.

Authors:  Arnold Mitnitski; Susan E Howlett; Kenneth Rockwood
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2017-07-01       Impact factor: 6.053

Review 10.  On the cause of aging and control of lifespan: heterogeneity leads to inevitable damage accumulation, causing aging; control of damage composition and rate of accumulation define lifespan.

Authors:  Vadim N Gladyshev
Journal:  Bioessays       Date:  2012-08-23       Impact factor: 4.653

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