Evidence map›Paper›PMID 41884209›Full record

ReviewFrontiers in endocrinology2026

Urolithin A: a multi-target therapeutic candidate derived from the gut microbiota for obesity and metabolic dysfunction.

Chang Liu, Mingxing Sun, Zhiping Zhao, Ying Yang, Yikun Yang, Yujun Zhao, Rui Zhang, Xiuwei Du, Xue Liu, Shuying Ran and 2 more

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
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

12 authors.

Chang Liu *Experimental Center, Shandong University of Traditional Chinese Medicine, Jinan, China.
Mingxing Sun *College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Zhiping ZhaoSchool of Nursing, Shandong University of Traditional Chinese Medicine, Jinan, China.
Ying YangExperimental Center, Shandong University of Traditional Chinese Medicine, Jinan, China.
Yikun YangInnovative Institute of Chinese Medicine and Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China.
Yujun ZhaoExperimental Center, Shandong University of Traditional Chinese Medicine, Jinan, China.
Rui ZhangCollege of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Xiuwei DuExperimental Center, Shandong University of Traditional Chinese Medicine, Jinan, China.
Xue LiuCollege of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Shuying RanCollege of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China.
Yanfang WangMedical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Xiaogang PangExperimental Center, Shandong University of Traditional Chinese Medicine, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review comprehensively examines the role and mechanisms of Urolithin A (UroA), a gut microbial metabolite derived from dietary ellagitannins (ETs), in ameliorating obesity and related metabolic disorders. The

Indexed as

CoumarinsGastrointestinal MicrobiomeMetabolic DiseasesObesityAnimalsEnergy MetabolismHumansLipid Metabolism3,8-dihydroxy-6H-dibenzo(b,d)pyran-6-oneCoumarinsadipose tissue browninggut microbiota metabolismobesitytanninsUrolithin A (UroA)

Identifiers

PMID41884209
PMCPMC13008638

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.