Evidence map›Paper›PMID 30745468›Full record

ArticleAging2019

Measuring biological age in mice using differential mass spectrometry.

Harris Bell-Temin, Matthew J Yousefzadeh, Andrey Bondarenko, Ellen Quarles, Jacqueline Jones-Laughner, Paul D Robbins, Warren Ladiges, Laura J Niedernhofer, Nathan A Yates

Open access · greenAbstract readValidation Study
In one paragraph

Article in Aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 38% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Applying the AFRAID and FRIGHT Clocks to Novel Preclinical Mouse Models of Polypharmacy.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

Harris Bell-TeminDepartment of Cell Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA.
Matthew J YousefzadehDepartment of Molecular Medicine, The Scripps Research Institute, Florida , Jupiter, FL 33458, USA.
Andrey BondarenkoInfoclinika, Bellevue, WA 98006, USA.
Ellen QuarlesDepartment of Pathology, University of Washington, Seattle, WA 98195, USA.
Jacqueline Jones-LaughnerBiomedical Mass Spectrometry Center, University of Pittsburgh Schools of the Health Sciences, Pittsburgh, PA 15261, USA.
Paul D RobbinsDepartment of Molecular Medicine, The Scripps Research Institute, Florida , Jupiter, FL 33458, USA.
Warren LadigesDepartment of Comparative Medicine, School of Medicine, University of Washington, Seattle, WA 98195, USA.
Laura J NiedernhoferDepartment of Molecular Medicine, The Scripps Research Institute, Florida , Jupiter, FL 33458, USA.
Nathan A YatesDepartment of Cell Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA.
University of Pittsburgh · USUniversity of Minnesota · USUniversity of Washington · USBellevue College · USScripps Research Institute · US

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JOHN C. BYRD · 1988 to 2026
$158.0M
PROTEOMICSP01AG043376 · NIA · UNIVERSITY OF MINNESOTA · PI ROBBINS, PAUL D. · 2013 to 2019
$11.2M
Pathology of Aging Research NetworkR24AG047115 · NIA · UNIVERSITY OF WASHINGTON · PI LADIGES, WARREN C · 2014 to 2016
$1.1M
NCI NIH HHS P30 CA047904NIA NIH HHS P01 AG043376NIA NIH HHS R24 AG047115
6 · The paper itself

Abstract

Aging is an ill-defined process that increases the risk of morbidity and mortality. Aging is also heterogeneous meaning that biological and chronological age can differ. Here, we used unbiased differential mass spectrometry to quantify thousands of proteins in mouse liver and select those that that consistently change in expression as mice age. A panel of 14 proteins from inbred C57BL/6 mice was used to equate chronological and biological age in this reference population, against which other mice could be compared. This "biological age calculator" identified two strains of f1 hybrid mice as biologically younger than inbred mice and progeroid mice as being biologically older. In an independent validation experiment, the calculator identified mice treated with rapamycin, known to extend lifespan of mice, as 18% younger than mice fed a placebo diet. This demonstrates that it is possible to measure subtle changes in biologic age in mammals using a proteomics approach.

Indexed as

AgingAnimalsFemaleLiverMaleMass SpectrometryMiceProteinsReference ValuesProteinsaginglivermass spectrometrymousenon-targetedproteomicssurrogate markers

Identifiers

PMID30745468
PMCPMC6382423
OpenAlexW2912926572

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.