Evidence mapPaperPMID 40410781Full record

ArticleDiabetology & metabolic syndrome2025

Semaglutide and adenosine alleviate obesity-induced kidney injury, with observed modulation of the Txnip/NLRP3 pathway.

Shuqi Wang, Xiaoyu Pan, Ruiqing Liang, Shuchun Chen

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Shuqi WangDepartment of Internal Medicine, Hebei Medical University, Shijiazhuang, People's Republic of China.
Xiaoyu PanDepartment of Endocrinology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Ruiqing LiangDepartment 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. chenshuc2014@163.com.

Funding

Natural Science Foundation of Hebei Province H2022307026
6 · The paper itself

Abstract

objectiveThis study was designed to evaluate the effects of Semaglutide and adenosine on kidney protein expression in obese mice induced by a high-fat diet (HFD), to identify signaling pathways involved in the obesity-related glomerulonephropathy (ORG) regulation using a proteomics approach. MATERIALS AND

methodsA total of 48 mice were divided into normal-fat diet (NFD), high-fat diet (HFD), HFD + semaglutide intervention (HS), and HFD + adenosine intervention (HA) groups. Mouse serum, urine, and kidney tissue samples were collected to identify markers for blood glucose lipid metabolism, inflammation, oxidative stress (OS), kidney damage protein, urinary protein/creatinine, and other relevant factors. The kidney pathological changes of mice were observed under light and electron microscope. The differences in total proteins in the kidneys of mice were analyzed using liquid chromatography-tandem mass spectrometry (LC-MS/MS). The proteins with significant differences were selected for bioinformatics and Western Blot (WB) analyses.

resultsSemaglutide and adenosine can reduce the weight of obese mice, improve the level of glucose and lipid metabolism, inflammation, and OS in obese mice, and have a positive effect on glomerular and tubular lesions in mice. The TXNIP/NLRP3 signaling pathway, which is involved in the pathogenesis of murine ORG, was screened using a proteomics approach. Western Blot showed that the expressions of Txn, Txnip, and NLRP3 in HFD mice were significantly higher than those of NFD mice, while the expression levels of Txn, Txnip, and NLRP3 in HS and HA mice were substantially lower than those of HFD mice.

conclusionSemaglutide and adenosine can ameliorate obesity-induced renal injury, potentially through modulation of the Txnip/NLRP3 pathway.

Indexed as

AdenosineObesityObesity-related glomerulonephropathyProteomicsSemaglutide

Identifiers

PMID40410781
PMCPMC12102821

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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.