Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Undulating changes in human plasma proteome across lifespan are linked to disease

View ORCID ProfileBenoit Lehallier, David Gate, Nicholas Schaum, Tibor Nanasi, Song Eun Lee, Hanadie Yousef, Patricia Moran Losada, Daniela Berdnik, Andreas Keller, Joe Verghese, Sanish Sathyan, Claudio Franceschi, Sofiya Milman, Nir Barzilai, View ORCID ProfileTony Wyss-Coray
doi: https://doi.org/10.1101/751115
Benoit Lehallier
1Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
2Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
3Paul F. Glenn Center for the Biology of Aging, Stanford University, Stanford, CA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Benoit Lehallier
  • For correspondence: twc@stanford.edu lehallib@stanford.edu
David Gate
1Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
2Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
3Paul F. Glenn Center for the Biology of Aging, Stanford University, Stanford, CA, USA
4Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, CA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nicholas Schaum
5Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tibor Nanasi
1Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
2Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
3Paul F. Glenn Center for the Biology of Aging, Stanford University, Stanford, CA, USA
6Institute of Cognitive Neuroscience and Psychology, Hungarian Academy of Sciences Research Centre for Natural Sciences, Budapest, Hungary
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Song Eun Lee
1Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
2Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
3Paul F. Glenn Center for the Biology of Aging, Stanford University, Stanford, CA, USA
4Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, CA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hanadie Yousef
1Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
2Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
3Paul F. Glenn Center for the Biology of Aging, Stanford University, Stanford, CA, USA
4Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, CA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Patricia Moran Losada
1Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
2Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
3Paul F. Glenn Center for the Biology of Aging, Stanford University, Stanford, CA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Daniela Berdnik
1Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
2Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
3Paul F. Glenn Center for the Biology of Aging, Stanford University, Stanford, CA, USA
4Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, CA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Andreas Keller
7Clinical Bioinformatics, Saarland University, Saarbrücken, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Joe Verghese
8Institute for Aging Research, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
9Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sanish Sathyan
8Institute for Aging Research, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
9Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Claudio Franceschi
10University of Bologna, Bologna, Italy
11National Research Lobachevsky State University of Nizhny Novgorod, Russia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sofiya Milman
8Institute for Aging Research, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
12Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nir Barzilai
8Institute for Aging Research, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
12Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tony Wyss-Coray
1Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
2Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
3Paul F. Glenn Center for the Biology of Aging, Stanford University, Stanford, CA, USA
4Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, CA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Tony Wyss-Coray
  • For correspondence: twc@stanford.edu lehallib@stanford.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Aging is the predominant risk factor for numerous chronic diseases that limit healthspan. Mechanisms of aging are thus increasingly recognized as therapeutic targets. Blood from young mice reverses aspects of aging and disease across multiple tissues, pointing to the intriguing possibility that age-related molecular changes in blood can provide novel insight into disease biology. We measured 2,925 plasma proteins from 4,331 young adults to nonagenarians and developed a novel bioinformatics approach which uncovered profound non-linear alterations in the human plasma proteome with age. Waves of changes in the proteome in the fourth, seventh, and eighth decades of life reflected distinct biological pathways, and revealed differential associations with the genome and proteome of age-related diseases and phenotypic traits. This new approach to the study of aging led to the identification of unexpected signatures and pathways of aging and disease and offers potential pathways for aging interventions.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted September 01, 2019.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Undulating changes in human plasma proteome across lifespan are linked to disease
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Undulating changes in human plasma proteome across lifespan are linked to disease
Benoit Lehallier, David Gate, Nicholas Schaum, Tibor Nanasi, Song Eun Lee, Hanadie Yousef, Patricia Moran Losada, Daniela Berdnik, Andreas Keller, Joe Verghese, Sanish Sathyan, Claudio Franceschi, Sofiya Milman, Nir Barzilai, Tony Wyss-Coray
bioRxiv 751115; doi: https://doi.org/10.1101/751115
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Undulating changes in human plasma proteome across lifespan are linked to disease
Benoit Lehallier, David Gate, Nicholas Schaum, Tibor Nanasi, Song Eun Lee, Hanadie Yousef, Patricia Moran Losada, Daniela Berdnik, Andreas Keller, Joe Verghese, Sanish Sathyan, Claudio Franceschi, Sofiya Milman, Nir Barzilai, Tony Wyss-Coray
bioRxiv 751115; doi: https://doi.org/10.1101/751115

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Systems Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (3698)
  • Biochemistry (7809)
  • Bioengineering (5689)
  • Bioinformatics (21330)
  • Biophysics (10595)
  • Cancer Biology (8199)
  • Cell Biology (11961)
  • Clinical Trials (138)
  • Developmental Biology (6777)
  • Ecology (10419)
  • Epidemiology (2065)
  • Evolutionary Biology (13900)
  • Genetics (9726)
  • Genomics (13094)
  • Immunology (8164)
  • Microbiology (20058)
  • Molecular Biology (7871)
  • Neuroscience (43147)
  • Paleontology (321)
  • Pathology (1280)
  • Pharmacology and Toxicology (2264)
  • Physiology (3362)
  • Plant Biology (7246)
  • Scientific Communication and Education (1315)
  • Synthetic Biology (2010)
  • Systems Biology (5547)
  • Zoology (1132)