Evidence mapPaperPMID 40458823Full record

ArticleFrontiers in nutrition2025

Fan Lin, Wenjing Yu, Ping Li, Shuyao Tang, Yitong Ouyang, Liya Huang, Di Wu, Shaowu Cheng, Zhenyan Song

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

9 authors.

Fan Lin *School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, China.
Wenjing Yu *School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, China.
Ping LiSchool of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, China.
Shuyao TangSchool of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, China.
Yitong OuyangSchool of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, China.
Liya HuangSchool of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, China.
Di WuSchool of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, China.
Shaowu ChengSchool of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, China.
Zhenyan SongSchool of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mitochondrial oxidative damage in pancreatic β-cells is a key contributor to diabetes pathogenesis, particularly under hyperglycemic conditions. Methods: A diabetic zebrafish model was established by exposure to 2% glucose for 28 days. Zebrafish were divided into control, model, low-dose PSP (50 μg/mL), medium-dose PSP (100 μg/mL), high-dose PSP (200 μg/mL), and metformin groups. Behavioral, biochemical, and molecular analyses were performed to assess β-cell function, mitochondrial oxidative damage, and inflammation. Network pharmacology analysis was used to predict PSP targets, and molecular docking validated key protein interactions. Immunofluorescence and Western blotting (WB) were conducted to examine apoptosis-related protein expression. Results: Conclusion:

Indexed as

AMPK-SIRT1 pathwaymitochondrial oxidative damagenetwork pharmacologypancreatic β-cellsPolygonatum sibiricum polysaccharideszebrafish

Identifiers

PMID40458823
PMCPMC12128605

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.