Evidence map›Paper›PMID 41369384›Full record

ArticleCells2025

ST32da, a Novel

Hsi-Hsien Chen, Tzu-Ling Tseng, Hsiao-Fen Li, Ya-Ting Hsieh, Tu Tuan Tran, Yueh-Lin Wu, Heng Lin

Abstract read
In one paragraph

Article in Cells, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

7 authors.

Hsi-Hsien ChenDivision of Nephrology, Department of Internal Medicine, Taipei Medical University Hospital, No. 252, Wuxing St., Xinyi Dist., Taipei 110, Taiwan.ORCID 0000-0001-8286-802X
Tzu-Ling TsengCardioVascular Research Center, Buddhist Tzu Chi General Hospital, No. 707, Zhongyang Rd., Sec. 3, Hualien 97004, Taiwan.
Hsiao-Fen LiDepartment of Physiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan.
Ya-Ting HsiehDepartment of Physiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan.
Tu Tuan TranDepartment of Internal Medicine, Thai Nguyen University of Medicine and Pharmacy, Thai Nguyen 241-17, Vietnam.
Yueh-Lin WuDivision of Nephrology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, No. 250, Wuxing St., Xinyi Dist., Taipei 110, Taiwan.
Heng LinDepartment of Physiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan.

Funding

National Science and Technology Council MOST 108-2314-B-038-048-MY3National Science and Technology Council MOST 111-2314-B-038-114-MY3National Science and Technology Council MOST111-2320-B-303-001National Science and Technology Council NSTC 112-2314-B-038-121-MY3National Science and Technology Council NSTC112-2320-B-303-001National Science and Technology Council NSTC113-2320-B-303-004National Science and Technology Council NSTC114-2320-B-303-007Taipei Medical University TMU113-AE1-B35Taipei Medical University Hospital 112TMU-TMUH-17Wan Fang Hospital 113-wf-eva-21
6 · The paper itself

Abstract

It is necessary to find novel therapeutic strategies for obesity-related diabetic nephropathy (DN) that target both metabolic dysfunction and renal inflammation. ST32da derived from

Indexed as

Activating Transcription Factor 3Diabetic NephropathiesObesitySalvia miltiorrhizaAnimalsDiet, High-FatDisease Models, AnimalInflammationMaleMesangial CellsMiceMice, Inbred C57BLMice, KnockoutActivating Transcription Factor 3Atf3 protein, mouseATF3diabetic nephropathyHDAC2lipotoxicityrenal inflammationST32da

Identifiers

PMID41369384
PMCPMC12691026

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.