Evidence mapPaperPMID 39234117Full record

ArticleFrontiers in pharmacology2024

Effects of

Zhaodi Han, Le Gong, Yani Xue, Rui Wang, Jing Liu, Xinyu Wang, Wenyan Zhao, Hui Liao, Rongshan Li

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2024. 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. Article
  2. Article
  3. 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

9 authors.

Zhaodi Han *Drug Clinical Trial Institution, Shanxi Provincial People's Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Le Gong *School of Pharmacy, Shanxi Medical University, Taiyuan, China.
Yani XueSchool of Pharmacy, Shanxi Medical University, Taiyuan, China.
Rui WangSchool of Pharmacy, Shanxi Medical University, Taiyuan, China.
Jing LiuSchool of Pharmacy, Shanxi Medical University, Taiyuan, China.
Xinyu WangSchool of Pharmacy, Shanxi Medical University, Taiyuan, China.
Wenyan ZhaoSchool of Pharmacy, Shanxi Medical University, Taiyuan, China.
Hui LiaoDrug Clinical Trial Institution, Shanxi Provincial People's Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Rongshan LiDepartment of Nephrology, Shanxi Provincial People's Hospital Affiliated to Shanxi Medical University, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Podocyte injury is a common pathologic mechanism in diabetic kidney disease (DKD) and obesity-related glomerulopathy (ORG). Our previous study confirmed that Methods: Firstly, by combining ultra-high performance liquid chromatography tandem mass spectrometry analysis (UPLC-Q-TOF-MS) with network pharmacology to construct the human protein-protein interaction mechanism and enrich the pathway, which led to discover the crucial mechanism of IO against ORG. Then, ORG mice were established by high-fat diet and biochemical assays, histopathology, and Western blot were used to explore the effects of IO on obesity and podocyte injury. Finally, network pharmacology-based findings were confirmed by immunohistochemistry. The compositions of IO absorbed in mice plasma were analyzed by UPLC-Q-TOF-MS and molecular docking was used to predict the possible active compounds. Results: The network pharmacology result suggested that IO alleviated the inflammatory response of ORG by modulating TNF signal. The 20-week Conclusion: The research based on UPLC-Q-TOF-MS analysis, network pharmacology and

Indexed as

Inonotus obliquusobesity-related glomerulopathypodocyte injuryTNF signaltriterpenoids

Identifiers

PMID39234117
PMCPMC11371614

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.