Literature DB >> 22266314

Identification of blood biomarkers of aging by transcript profiling of whole blood.

Seiji Nakamura1, Kozo Kawai, Yumie Takeshita, Masao Honda, Toshinari Takamura, Shuichi Kaneko, Ryo Matoba, Kenichi Matsubara.   

Abstract

Immunological changes that inevitably occur with aging are related to the onset of various diseases including autoimmune diseases, immunodeficiency, as well as other age-reflecting (AR) diseases. They are becoming serious problems in the global trend of longevity. To understand the AR changes, we searched for genes whose expression profiles in the whole peripheral blood change dramatically as a function of age using the Agilent whole human genome 44K microarray. After examining two cohorts consisting of 154 healthy people between age 23 and 77, we discovered 16 transcripts strongly and reproducibly correlated with age. Analysis using a publicly available gene expression dataset for a variety of human immune cells revealed that some of these transcripts were highly expressed in specific cell types whose number and function are known to change with age. This analysis shed light on the molecular mechanism of AR immunological system changes. Because of its simplicity, the assay system is expected to be useful for understanding individual health conditions.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22266314     DOI: 10.1016/j.bbrc.2012.01.018

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  16 in total

Review 1.  The RNA world of human ageing.

Authors:  J C Gomez-Verjan; E R Vazquez-Martinez; N A Rivero-Segura; R H Medina-Campos
Journal:  Hum Genet       Date:  2018-11-01       Impact factor: 4.132

2.  Oklahoma Nathan Shock Aging Center - assessing the basic biology of aging from genetics to protein and function.

Authors:  Holly Van Remmen; Willard M Freeman; Benjamin F Miller; Michael Kinter; Jonathan D Wren; Ann Chiao; Rheal A Towner; Timothy A Snider; William E Sonntag; Arlan Richardson
Journal:  Geroscience       Date:  2021-10-04       Impact factor: 7.713

3.  Transcriptomic profiles of aging in purified human immune cells.

Authors:  Lindsay M Reynolds; Jingzhong Ding; Jackson R Taylor; Kurt Lohman; Nicola Soranzo; Alberto de la Fuente; Tie Fu Liu; Craig Johnson; R Graham Barr; Thomas C Register; Kathleen M Donohue; Monica V Talor; Daniela Cihakova; Charles Gu; Jasmin Divers; David Siscovick; Gregory Burke; Wendy Post; Steven Shea; David R Jacobs; Ina Hoeschele; Charles E McCall; Stephen B Kritchevsky; David Herrington; Russell P Tracy; Yongmei Liu
Journal:  BMC Genomics       Date:  2015-04-22       Impact factor: 3.969

4.  Immunosenescence-Related Transcriptomic and Immunologic Changes in Older Individuals Following Influenza Vaccination.

Authors:  Richard B Kennedy; Inna G Ovsyannikova; Iana H Haralambieva; Ann L Oberg; Michael T Zimmermann; Diane E Grill; Gregory A Poland
Journal:  Front Immunol       Date:  2016-11-02       Impact factor: 7.561

5.  Age-associated changes in gene expression in human brain and isolated neurons.

Authors:  Azad Kumar; J Raphael Gibbs; Alexandra Beilina; Allissa Dillman; Ravindran Kumaran; Daniah Trabzuni; Mina Ryten; Robert Walker; Colin Smith; Bryan J Traynor; John Hardy; Andrew B Singleton; Mark R Cookson
Journal:  Neurobiol Aging       Date:  2012-11-21       Impact factor: 4.673

Review 6.  Damaged DNA binding protein 2 in reactive oxygen species (ROS) regulation and premature senescence.

Authors:  Nilotpal Roy; Srilata Bagchi; Pradip Raychaudhuri
Journal:  Int J Mol Sci       Date:  2012-09-05       Impact factor: 6.208

7.  Deep biomarkers of human aging: Application of deep neural networks to biomarker development.

Authors:  Evgeny Putin; Polina Mamoshina; Alexander Aliper; Mikhail Korzinkin; Alexey Moskalev; Alexey Kolosov; Alexander Ostrovskiy; Charles Cantor; Jan Vijg; Alex Zhavoronkov
Journal:  Aging (Albany NY)       Date:  2016-05       Impact factor: 5.682

8.  Classifying aging as a disease in the context of ICD-11.

Authors:  Alex Zhavoronkov; Bhupinder Bhullar
Journal:  Front Genet       Date:  2015-11-04       Impact factor: 4.599

9.  Aging: a portrait from gene expression profile in blood cells.

Authors:  Elisa Calabria; Emilia Maria Cristina Mazza; Kenneth Allen Dyar; Silvia Pogliaghi; Paolo Bruseghini; Carlo Morandi; Gian Luca Salvagno; Matteo Gelati; Gian Cesare Guidi; Silvio Bicciato; Stefano Schiaffino; Federico Schena; Carlo Capelli
Journal:  Aging (Albany NY)       Date:  2016-08       Impact factor: 5.682

10.  Identification of a T cell gene expression clock obtained by exploiting a MZ twin design.

Authors:  Daniel Remondini; Nathan Intrator; Claudia Sala; Michela Pierini; Paolo Garagnani; Isabella Zironi; Claudio Franceschi; Stefano Salvioli; Gastone Castellani
Journal:  Sci Rep       Date:  2017-07-20       Impact factor: 4.379

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