Evidence map›Paper›PMID 42872291›Full record

ArticleFrontiers in science2026

Aging rate indicators and the search for anti-aging drugs.

Steven N Austad, Matt Kaeberlein, Richard A Miller

Abstract read
In one paragraph

Article in Frontiers in science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Steven N AustadDepartment of Biology, University of Alabama at Birmingham, Birmingham, AL, United States.
Matt KaeberleinOptispan, Inc., Seattle, WA, United States.
Richard A MillerDepartment of Pathology and Geriatrics Center, University of Michigan, Ann Arbor, MI, United States.

Funding

Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI FRED H GAGE · 2004 to 2026
$102.6M
Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Neil Alexander · 2004 to 2026
$29.2M
Laboratory for Anti-Geric Testing, Evaluation and ResearchU01AG022303 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RICHARD A MILLER · 2003 to 2026
$25.4M
Sex hormones and arthritis in a long lived animal modelP30AG050886 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DAVID B ALLISON · 2015 to 2026
$11.3M
A New Translational Rat Model for Evaluating Anti-Aging InterventionsR33AG072137 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI STEVEN N. AUSTAD, ARLAN G. RICHARDSON · 2024 to 2026
$2.2M
A sex difference approach to evaluating resilience as a predictor of healthspan in miceR01AG057434 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI AUSTAD, STEVEN N., CARTER, CHRISTY SHAWN · 2017 to 2021
$1.5M
A New Translational Rat Model for Evaluating Anti-Aging InterventionsR21AG072137 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI AUSTAD, STEVEN N., RICHARDSON, ARLAN G. · 2022 to 2023
$415k
NIA NIH HHS P30 AG024824NIA NIH HHS P30 AG050886NIA NIH HHS R01 AG057434NIA NIH HHS R21 AG072137NIA NIH HHS R33 AG072137NIA NIH HHS U01 AG022303NIA NIH HHS U19 AG023122
6 · The paper itself

Abstract

Evidence that drugs, diets, and single-gene mutations can slow aging and extend the healthy lifespan of mammals has begun to convert biogerontology from an observational science into one based on interventions that could provide people with additional years of healthy, productive life. However, the research and development of anti-aging drugs is hampered by the lack of instantaneous and continuous measures of the rate of aging itself. This article presents recent work on anti-aging drugs that are effective in mice, provides evidence for candidate "aging rate indicators" (ARIs), and outlines a roadmap for translating these into clinical research to slow aging in humans. Thus far, 14 agents or combinations have significantly increased the lifespan of mice in studies conducted under the Interventions Testing Program (ITP) of the National Institute on Aging, often when initiated in late adulthood. Recent evidence suggests that many, perhaps all, interventions that slow aging in mice induce common, shared changes in physiological status and molecular pathways. We have proposed 12 such mechanisms as candidate ARIs, i.e., measurable outcomes that reflect a slow-aging state and that could discriminate between normal mice (and perhaps humans) and those exposed to effective anti-aging interventions-thereby accelerating research. Research priorities now include testing the robustness of these ARIs, extending them to include plasma constituents, elucidating the mechanisms through which diverse interventions alter them, uncovering the links between the ARIs and late-life diseases, and extending research to dogs, non-human primates, and humans. The growing recognition of the legitimacy and promise of evidence-based interventions resulting from aging biology should elevate this field to a level of urgency and respect comparable to that of current research on individual age-related conditions.

Indexed as

agingaging rate indicatoranti-agingdrug screeninglifespanlongevitymachine learningrapamycin

Identifiers

PMID42872291
PMCPMC13661149

What OpenQuestion holds

Textmetadata
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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.