Evidence map›Paper›PMID 41258280›Full record

ArticleNature communications2025

Deciphering the timing and impact of life-extending interventions: temporal efficacy profiler distinguishes early, midlife, and senescence phase efficacies.

Nisi Jiang, Catherine J Cheng, Qianqian Liu, Randy Strong, Jonathan Gelfond, James F Nelson

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Embracing non-linearity in human ageing.Nature reviews. Genetics · 2026
    Review
  2. Article
  3. Article
  4. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Nisi Jiang *The Sam and Ann Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA.
Catherine J Cheng *The Sam and Ann Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA.
Qianqian Liu *Department of Population Health Sciences, UT Health San Antonio, San Antonio, TX, USA.ORCID http://orcid.org/0000-0002-3045-2409
Randy StrongThe Sam and Ann Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA.ORCID http://orcid.org/0000-0001-6643-3288
Jonathan GelfondThe Sam and Ann Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA. gelfondjal@uthscsa.edu.ORCID http://orcid.org/0000-0002-0773-3683
James F NelsonThe Sam and Ann Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, TX, USA. nelsonj@uthscsa.edu.ORCID http://orcid.org/0000-0002-7439-3033

Funding

TRANSGENIC COREP30AG013319 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI JAMES FLOYD NELSON · 1995 to 2026
$30.6M
Center for Testing Potential Anti-Aging InterventionsU01AG022307 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI RANDY STRONG, Adam Salmon · 2004 to 2026
$26.3M
San Antonio OAIC - Research Education Component (REC)P30AG044271 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Adam Salmon, Elena Volpi · 2015 to 2026
$14.1M
TRAINING GRANT ON THE BIOLOGY OF AGINGT32AG021890 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Erzsebet Kokovay, JAMES FLOYD NELSON · 2003 to 2026
$11.4M
BLRD VA IK6 BX006289NIA NIH HHS P30 AG013319NIA NIH HHS P30 AG044271NIA NIH HHS T32 AG021890NIA NIH HHS U01 AG022307U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) P30-AG013319U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) T32-AG021890U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) U01-AG022307
6 · The paper itself

Abstract

A growing number of compounds are reported to extend lifespan, but it remains unclear whether they reduce mortality across the entire life course or only at specific ages. This uncertainty persists because the commonly used log-rank test cannot detect age-specific effects. Here, we introduce a new analytical method that addresses this limitation by revealing when, how long, and to what extent interventions alter mortality risk. Applied to survival data from 42 compounds tested in mice by the National Institute on Aging Interventions Testing Program, it identified 22 that reduced mortality at certain ages, more than detected by the log-rank test, while 15 increased mortality at certain ages. Most compounds were effective only within restricted age ranges; just 8 reduced mortality late in life, when burdens of aging are greatest. Compared to conventional methods, this approach uncovers more beneficial and harmful effects, offers deeper insight into timing and mechanism, and can guide development of future anti-aging therapies.

Indexed as

AgingLongevityAnimalsFemaleHumansMaleMiceMice, Inbred C57BLTime Factors

Identifiers

PMID41258280
PMCPMC12630856

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.