Literature DB >> 15304533

Current status of efforts to measure and modulate the biological rate of aging.

Huber R Warner1.   

Abstract

Biomarkers of aging would be highly desirable, but so far, a definitive panel of biomarkers to predict mortality risk has not been obtained, even though many traits that vary with age have been identified. This lack hinders the search for interventions that may retard the rate of aging in mammals. The recent discovery and characterization of many longevity genes in animal model systems, such as nematodes, fruit flies, and mice, are providing new targets for research by providing insight into mechanisms of longevity regulation in these model systems. It is hoped that this will ultimately lead to interventions to delay the development of age-related pathology in humans.

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Year:  2004        PMID: 15304533     DOI: 10.1093/gerona/59.7.b692

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


  10 in total

1.  Biomarkers of aging in Drosophila.

Authors:  Adrian J Lambert; Jake Jacobson; Manuel Portero-Otín; Reinald Pamplona; Tapiwanashe Magwere; Satomi Miwa; Yasmine Driege; Martin D Brand; Linda Partridge
Journal:  Aging Cell       Date:  2010-03-29       Impact factor: 9.304

2.  Connecting serum IGF-1, body size, and age in the domestic dog.

Authors:  Kimberly A Greer; Larry M Hughes; Michal M Masternak
Journal:  Age (Dordr)       Date:  2010-09-24

Review 3.  Disentangling the genetic determinants of human aging: biological age as an alternative to the use of survival measures.

Authors:  David Karasik; Serkalem Demissie; L Adrienne Cupples; Douglas P Kiel
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2005-05       Impact factor: 6.053

4.  Biomarkers for cognitive aging part I: telomere length, blood pressure and cognition among individuals with hypertension.

Authors:  Kathleen C Insel; Carrie J Merkle; Chao-Pin Hsiao; Amy N Vidrine; David W Montgomery
Journal:  Biol Res Nurs       Date:  2011-05-17       Impact factor: 2.522

5.  Hierarchy and control of ageing-related methylation networks.

Authors:  Gergely Palla; Péter Pollner; Judit Börcsök; András Major; Béla Molnár; István Csabai
Journal:  PLoS Comput Biol       Date:  2021-09-17       Impact factor: 4.475

6.  Epidemiology of aging.

Authors:  Luigi Ferrucci; Francesco Giallauria; Jack M Guralnik
Journal:  Radiol Clin North Am       Date:  2008-07       Impact factor: 2.303

Review 7.  Genome-wide approaches to understanding human ageing.

Authors:  Matt Kaeberlein
Journal:  Hum Genomics       Date:  2006-06       Impact factor: 4.639

8.  High-Fat Diet and Voluntary Chronic Aerobic Exercise Recover Altered Levels of Aging-Related Tryptophan Metabolites along the Kynurenine Pathway.

Authors:  Keon-Joo Lee; Keun-Hwa Jung; Joo-Youn Cho; Soon-Tae Lee; Hwa Suk Kim; Jun Hwa Shim; Sang Kun Lee; Manho Kim; Kon Chu
Journal:  Exp Neurobiol       Date:  2017-06-26       Impact factor: 3.261

Review 9.  Genes and Longevity of Lifespan.

Authors:  May Nasser Bin-Jumah; Muhammad Shahid Nadeem; Sadaf Jamal Gilani; Fahad A Al-Abbasi; Inam Ullah; Sami I Alzarea; Mohammed M Ghoneim; Sultan Alshehri; Aziz Uddin; Bibi Nazia Murtaza; Imran Kazmi
Journal:  Int J Mol Sci       Date:  2022-01-28       Impact factor: 5.923

10.  Blood-based epigenetic estimators of chronological age in human adults using DNA methylation data from the Illumina MethylationEPIC array.

Authors:  Yunsung Lee; Kristine L Haftorn; William R P Denault; Haakon E Nustad; Christian M Page; Robert Lyle; Sindre Lee-Ødegård; Gunn-Helen Moen; Rashmi B Prasad; Leif C Groop; Line Sletner; Christine Sommer; Maria C Magnus; Håkon K Gjessing; Jennifer R Harris; Per Magnus; Siri E Håberg; Astanand Jugessur; Jon Bohlin
Journal:  BMC Genomics       Date:  2020-10-27       Impact factor: 3.969

  10 in total

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