Evidence map›Paper›PMID 28544158›Full record

ReviewAging cell2017

Molecular and physiological manifestations and measurement of aging in humans.

Sadiya S Khan, Benjamin D Singer, Douglas E Vaughan

Open access · goldAbstract readReview
In one paragraph

Review in Aging cell, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 267 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
267citing papers in PubMed, 5 pooled it
12.6field-weighted citation impact, top 1% 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

267 citing papers in PubMed, 5 syntheses or guidelines pooled it, 500 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Trial
  8. Structural MRI-Based Measures of Accelerated Brain Aging do not Moderate the Acute Antidepressant Response in Late-Life Depression.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2022
    Trial
  9. The endocannabinoid system and the ageing brain.Nature reviews. Neuroscience · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Functional, molecular, and digital measurements of biological age.The Journal of clinical investigation · 2026
    Review
  19. Article
  20. Article

207 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Sadiya S KhanDepartment of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
Benjamin D SingerDepartment of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
Douglas E VaughanDepartment of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
Northwestern University · US

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Regulatory T cell Uhrf1 and DNA methylation in repair of acute lung injuryK08HL128867 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI SINGER, BENJAMIN DAVID · 2015 to 2019
$779k
The Role of Plasminogen Activator Inhibitor-1 in the Development and Progression of ObesityF32HL129695 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KHAN, SADIYA SANA · 2015 to 2016
$134k
NCATS NIH HHS UL1 TR001422NHLBI NIH HHS F32 HL129695NHLBI NIH HHS K08 HL128867
6 · The paper itself

Abstract

Biological aging is associated with a reduction in the reparative and regenerative potential in tissues and organs. This reduction manifests as a decreased physiological reserve in response to stress (termed homeostenosis) and a time-dependent failure of complex molecular mechanisms that cumulatively create disorder. Aging inevitably occurs with time in all organisms and emerges on a molecular, cellular, organ, and organismal level with genetic, epigenetic, and environmental modulators. Individuals with the same chronological age exhibit differential trajectories of age-related decline, and it follows that we should assess biological age distinctly from chronological age. In this review, we outline mechanisms of aging with attention to well-described molecular and cellular hallmarks and discuss physiological changes of aging at the organ-system level. We suggest methods to measure aging with attention to both molecular biology (e.g., telomere length and epigenetic marks) and physiological function (e.g., lung function and echocardiographic measurements). Finally, we propose a framework to integrate these molecular and physiological data into a composite score that measures biological aging in humans. Understanding the molecular and physiological phenomena that drive the complex and multifactorial processes underlying the variable pace of biological aging in humans will inform how researchers assess and investigate health and disease over the life course. This composite biological age score could be of use to researchers seeking to characterize normal, accelerated, and exceptionally successful aging as well as to assess the effect of interventions aimed at modulating human aging.

Indexed as

Epigenesis, GeneticGene-Environment InteractionAgingBiomarkersCellular SenescenceCytokinesHeart Function TestsHumansKidney Function TestsMetforminOrgan SpecificityRespiratory Function TestsTelomere HomeostasisBiomarkersCytokinesMetforminagingbiological agebiomarkersscoresenescence

Identifiers

PMID28544158
PMCPMC5506433
OpenAlexW2617171469

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.