Literature DB >> 35604557

Understanding the Human Aging Proteome Using Epidemiological Models.

Ceereena Ubaida-Mohien1, Ruin Moaddel1, Zenobia Moore1, Pei-Lun Kuo1, Ravi Tharakan1, Toshiko Tanaka1, Luigi Ferrucci2.   

Abstract

Human aging is a complex multifactorial process associated with a decline of physical and cognitive function and high susceptibility to chronic diseases, influenced by genetic, epigenetic, environmental, and demographic factors. This chapter will provide an overview on the use of epidemiological models with proteomics data as a method that can be used to identify factors that modulate the aging process in humans. This is demonstrated with proteomics data from human plasma and skeletal muscle, where the combination with epidemiological models identified a set of mitochondrial, spliceosome, and senescence proteins as well as the role of energetic pathways such as glycolysis, and electron transport pathways that regulate the aging process.
© 2022. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.

Entities:  

Keywords:  Aging; BLSA; Data model; Epidemiology; GESTALT; Plasma; Proteomics; SOMAscan; Skeletal muscle; TMT

Mesh：

Substances：

Year:  2022        PMID： 35604557     DOI： 10.1007/978-1-0716-1831-8_8

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN： 1064-3745


  11 in total

1.  A rapid method of total lipid extraction and purification.

Authors:  E G BLIGH; W J DYER
Journal:  Can J Biochem Physiol       Date:  1959-08

2.  Detecting Significant Changes in Protein Abundance.

Authors:  Kai Kammers; Robert N Cole; Calvin Tiengwe; Ingo Ruczinski
Journal:  EuPA Open Proteom       Date:  2015-06

3.  Statistical inference from multiple iTRAQ experiments without using common reference standards.

Authors:  Shelley M Herbrich; Robert N Cole; Keith P West; Kerry Schulze; James D Yager; John D Groopman; Parul Christian; Lee Wu; Robert N O'Meally; Damon H May; Martin W McIntosh; Ingo Ruczinski
Journal:  J Proteome Res       Date:  2013-01-16       Impact factor: 4.466

Review 4.  The hallmarks of aging.

Authors:  Carlos López-Otín; Maria A Blasco; Linda Partridge; Manuel Serrano; Guido Kroemer
Journal:  Cell       Date:  2013-06-06       Impact factor: 41.582

5.  A roadmap to build a phenotypic metric of ageing: insights from the Baltimore Longitudinal Study of Aging.

Authors:  P-L Kuo; J A Schrack; M D Shardell; M Levine; A Z Moore; Y An; P Elango; A Karikkineth; T Tanaka; R de Cabo; L M Zukley; M AlGhatrif; C W Chia; E M Simonsick; J M Egan; S M Resnick; L Ferrucci
Journal:  J Intern Med       Date:  2020-02-27       Impact factor: 13.068

Review 6.  Nucleic Acid Ligands With Protein-like Side Chains: Modified Aptamers and Their Use as Diagnostic and Therapeutic Agents.

Authors:  John C Rohloff; Amy D Gelinas; Thale C Jarvis; Urs A Ochsner; Daniel J Schneider; Larry Gold; Nebojsa Janjic
Journal:  Mol Ther Nucleic Acids       Date:  2014-10-07       Impact factor: 10.183

7.  Growth differentiation factor-15 and the risk of cardiovascular diseases and all-cause mortality: A meta-analysis of prospective studies.

Authors:  Shanhui Xie; Liping Lu; Liwei Liu
Journal:  Clin Cardiol       Date:  2019-03-26       Impact factor: 2.882

8.  Discovery proteomics in aging human skeletal muscle finds change in spliceosome, immunity, proteostasis and mitochondria.

Authors:  Ceereena Ubaida-Mohien; Alexey Lyashkov; Marta Gonzalez-Freire; Ravi Tharakan; Michelle Shardell; Ruin Moaddel; Richard D Semba; Chee W Chia; Myriam Gorospe; Ranjan Sen; Luigi Ferrucci
Journal:  Elife       Date:  2019-10-23       Impact factor: 8.140

9.  Assessment of Variability in the SOMAscan Assay.

Authors:  Julián Candia; Foo Cheung; Yuri Kotliarov; Giovanna Fantoni; Brian Sellers; Trevor Griesman; Jinghe Huang; Sarah Stuccio; Adriana Zingone; Bríd M Ryan; John S Tsang; Angélique Biancotto
Journal:  Sci Rep       Date:  2017-10-27       Impact factor: 4.379

10.  Plasma proteomic signature of age in healthy humans.

Authors:  Toshiko Tanaka; Angelique Biancotto; Ruin Moaddel; Ann Zenobia Moore; Marta Gonzalez-Freire; Miguel A Aon; Julián Candia; Pingbo Zhang; Foo Cheung; Giovanna Fantoni; Richard D Semba; Luigi Ferrucci
Journal:  Aging Cell       Date:  2018-07-11       Impact factor: 9.304
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