Evidence map›Paper›PMID 40124099›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2025

Protective Effect of Semaglutide on Obesity-Induced Renal Disease and Obesity-Induced Kidney Renal Clear Cell Carcinoma.

Shuqi Wang, Mengmeng Zhang, Xiaoman Yang, Shuchun Chen

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Shuqi WangDepartment of Internal Medicine, Hebei Medical University, Shijiazhuang, People's Republic of China.
Mengmeng ZhangDepartment of Internal Medicine, Hebei Medical University, Shijiazhuang, People's Republic of China.
Xiaoman YangDepartment of Internal Medicine, Hebei Medical University, Shijiazhuang, People's Republic of China.
Shuchun ChenDepartment of Internal Medicine, Hebei Medical University, Shijiazhuang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Proteomics was used to study the effect of semaglutide on the expression of renal protein in obese mice, and looking for proteins that could improve the prognosis of Kidney Renal Clear Cell Carcinoma (KIRC). Materials and Methods: Thirty-six mice were randomly divided into normal-fat diet group (NFD), high-fat diet group (HFD), high-fat diet plus semaglutide intervention group (HS). Collected mice serum, urine, kidney tissue samples, and detected urinary protein/creatinine, blood glucose, blood lipid, inflammation, oxidative stress and other related indicators. Different staining methods were used to analyze the pathological changes of mice's kidneys. Liquid chromatography-tandem mass spectrometry mass spectrometry (LC-MS/MS) analysis was used to analyze the total protein in the kidneys of mice. Finally, bioinformatics technology was used to analyze significantly different expressed proteins (DEPs). Results: The mechanism of semaglutide protecting the kidneys were related to oxidative phosphorylation, PPAR signaling pathway, thiamine, butyric acid and tryptophan metabolism pathways. Moreover, semaglutide could significantly increase the expression of Man1a1 and Ntn4 in the kidneys of mice, while the high-expression of Man1a1 and Ntn4 in KIRC population had a better overall survival rate. Conclusion: Semaglutide could regulate the development of KIRC by up-adjusting the expression of Man1a1 and Ntn4.

Indexed as

kidney renal clear cell carcinomaobesityproteomicssemaglutide

Identifiers

PMID40124099
PMCPMC11930019

What Socratic holds

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Registered trials

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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.