Evidence map›Paper›PMID 41903445›Full record

ArticleMolecular pharmacology2026

Identification of potential autophagy inducers through high-throughput and high-content imaging analysis.

Masato Ooka, Leah Mitchell, Jinghua Zhao, Zhengxi Wei, Li Zhang, Danielle Bougie, Hsiu-Ling Lin, Yuhong Fang, Dingyin Tao, Kelli Wilson and 3 more

Abstract read
In one paragraph

Article in Molecular pharmacology, 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

13 authors.

Masato OokaDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland.
Leah MitchellDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland.
Jinghua ZhaoDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland.
Zhengxi WeiDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland.
Li ZhangDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland.
Danielle BougieDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland.
Hsiu-Ling LinDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland.
Yuhong FangDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland.
Dingyin TaoDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland.
Kelli WilsonDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland.
Wen-Xing DingDepartment of Pharmacology, Toxicology and Therapeutics, The University of Kansas Medical Center, Kansas City, Kansas.
Ruili HuangDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland.
Menghang XiaDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland. Electronic address: mxia@mail.nih.gov.

Funding

Toxicology in the 21st Century Program (Tox21) - Systems ToxicologyZIATR000038 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI XIA, MENGHANG · 2015 to 2025
$5.7M
Intramural NIH HHS ZIA TR000038
6 · The paper itself

Abstract

Autophagy is a cellular degradation process that plays a critical role in maintaining homeostasis and preventing stress-induced damage, making it a promising therapeutic target for cancer and neurodegenerative diseases. In this study, we utilized mouse embryonic fibroblasts expressing GFP-labeled microtubule-associated protein 1 light chain 3, a widely used biomarker of autophagy activation, to screen 3733 clinically approved or investigational drugs using a high-throughput and high-content screening platform. From the primary screening, 117 compounds were identified as potential autophagy inducers. Subsequent confirmation studies narrowed this group to 5 previously uncharacterized autophagy-inducing candidates for further investigation. Follow-up studies assessed the mechanisms underlying autophagy modulation by these compounds, with a focus on key pathways such as mechanistic target of rapamycin inhibition, endoplasmic reticulum stress activation, and p53 activation. To further explore their therapeutic potential in cancer, we conducted an angiogenesis inhibition assay. This study successfully identified several autophagy inducers that may be repurposed for the treatment of cancer, highlighting their potential for future therapeutic development. SIGNIFICANT STATEMENT: This study identifies novel autophagy inducers from high-throughput screening of approved and investigational drugs. The findings highlight key pathways such as mechanistic target of rapamycin inhibition and endoplasmic reticulum stress activation, and demonstrate the ability of these compounds to inhibit angiogenesis, suggesting their potential for repurposing in cancer therapy.

Indexed as

AutophagyHigh-Throughput Screening AssaysAnimalsEndoplasmic Reticulum StressFibroblastsHumansMiceMicrotubule-Associated ProteinsTOR Serine-Threonine KinasesTumor Suppressor Protein p53Microtubule-Associated ProteinsTOR Serine-Threonine KinasesTumor Suppressor Protein p53AutophagyDrug repurposingHigh-content screeningLC3

Identifiers

PMID41903445
PMCPMC13168962

What OpenQuestion holds

Textmetadata
LicenceTDM
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.