Evidence map›Paper›PMID 40307992›Full record

ArticleAging cell2025

Identifying Age-Modulating Compounds Using a Novel Computational Framework for Evaluating Transcriptional Age.

Chao Zhang, Nathalie Saurat, Daniela Cornacchia, Sun Young Chung, Trisha Sikder, Adrianne Nemchik, Andrew Minotti, Lorenz Studer, Doron Betel

Abstract read
In one paragraph

Article in Aging cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Chao ZhangSection of Computational Biomedicine, Boston University School of Medicine, Boston, Massachusetts, USA.ORCID 0000-0001-8019-7998
Nathalie SauratThe Center for Stem Cell Biology, Sloan-Kettering Institute for Cancer Research, New York, New York, USA.ORCID 0000-0002-6439-5166
Daniela CornacchiaThe Center for Stem Cell Biology, Sloan-Kettering Institute for Cancer Research, New York, New York, USA.
Sun Young ChungThe Center for Stem Cell Biology, Sloan-Kettering Institute for Cancer Research, New York, New York, USA.
Trisha SikderThe Center for Stem Cell Biology, Sloan-Kettering Institute for Cancer Research, New York, New York, USA.
Adrianne NemchikThe Center for Stem Cell Biology, Sloan-Kettering Institute for Cancer Research, New York, New York, USA.
Andrew MinottiThe Center for Stem Cell Biology, Sloan-Kettering Institute for Cancer Research, New York, New York, USA.
Lorenz StuderThe Center for Stem Cell Biology, Sloan-Kettering Institute for Cancer Research, New York, New York, USA.ORCID 0000-0003-0741-7987
Doron BetelInstitute for Computational Biomedicine, Weill Cornell Medicine, New York, New York, USA.ORCID 0000-0002-8006-7752

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Project-005UL1TR001430 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BAIR-MERRITT, MEGAN H, CENTER, DAVID M. · 2015 to 2024
$52.3M
RL5: Research Education CoreP30AG072978 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LEE E. GOLDSTEIN · 2021 to 2026
$25.6M
Novel strategies for induction of aging in human PSC-derived lineages for modeling Alzheimer's DiseaseR01AG054720 · NIA · SLOAN-KETTERING INST CAN RESEARCH · PI Doron Betel, LORENZ P. STUDER · 2017 to 2026
$4.5M
Programming age in iPS models of Alzheimer's diseaseR01AG056298 · NIA · SLOAN-KETTERING INST CAN RESEARCH · PI STUDER, LORENZ P. · 2017 to 2021
$2.2M
Loss of nuclear integrity is sufficient to induce age-associated changes and Alzheimer's pathology in hPSC-derived cortical neurons.F31AG067709 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI MINOTTI, ANDREW · 2020 to 2022
$138k
Glenn Foundation for Medical ResearchNCATS NIH HHS 1UL1TR001430NCATS NIH HHS UL1 TR001430NCI NIH HHS P30 CA008748NIA NIH HHS F31 AG067709NIA NIH HHS P30 AG072978NIA NIH HHS R01 AG054720NIA NIH HHS R01AG054720NIA NIH HHS R01 AG056298NIA NIH HHS R01AG056298NIH HHS F31AG067709NIH HHS P30AG072978NIH HHS P30CA008748Starr Foundation
6 · The paper itself

Abstract

The differentiation of human pluripotent stem cells (hPSCs) provides access to a wide range of cell types and tissues. However, hPSC-derived lineages typically represent a fetal stage of development, and methods to expedite the transition to an aged identity to improve modeling of late-onset disease are limited. In this study, we introduce RNAge, a transcriptome-based computational platform designed to enable the evaluation of an induced aging or a rejuvenated state. We validated this approach across independent datasets spanning different tissues and species, and show that it can be used to evaluate the effectiveness of existing age-retaining or age-modulating interventions. We also used RNAge to perform an in silico compound screen using the LINCS L1000 dataset. This approach led to the identification and experimental confirmation of several novel compounds capable of inducing aging or rejuvenation in primary fibroblasts or hPSC-derived neurons. Additionally, we observed that applying this novel induced aging strategy to an hPSC model of Alzheimer's disease (AD) accelerated neurodegeneration in a genotype-specific manner. Our study offers a robust method for quantifying age-related manipulations and unveils compounds that significantly broaden the toolkit for age-modifying strategies in hPSC-derived lineages.

Indexed as

AgingCellular SenescenceComputational BiologyPluripotent Stem CellsAlzheimer DiseaseCell DifferentiationHumansTranscriptomeage scoreagingAlzheimer's diseasecortical neuronsdisease modelinghuman pluripotent stem cellstranscriptional age

Identifiers

PMID40307992
PMCPMC12266757

What Socratic 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 Socratic graph.