Evidence map›Paper›PMID 39905044›Full record

ArticleScientific reports2025

Untargeted metabolomic and proteomic analysis implicates SIRT2 as a novel therapeutic target for diabetic nephropathy.

Ruijing Zhang, Runze Chang, Heng Wang, Jinshan Chen, Chuanlong Lu, Keyi Fan, Yuhang Zhang, Lizheng Li, Sheng Yan, Honglin Dong

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. 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

10 authors.

Ruijing ZhangDepartment of Nephrology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
Runze Chang *Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Wuyi Road No. 382, Taiyuan, 030001, Shanxi, People's Republic of China.
Heng WangDepartment of Vascular Surgery, The Second Hospital of Shanxi Medical University, Wuyi Road No. 382, Taiyuan, 030001, Shanxi, People's Republic of China.
Jinshan ChenDepartment of Vascular Surgery, The Second Hospital of Shanxi Medical University, Wuyi Road No. 382, Taiyuan, 030001, Shanxi, People's Republic of China.
Chuanlong LuDepartment of Vascular Surgery, The Second Hospital of Shanxi Medical University, Wuyi Road No. 382, Taiyuan, 030001, Shanxi, People's Republic of China.
Keyi FanDepartment of Vascular Surgery, The Second Hospital of Shanxi Medical University, Wuyi Road No. 382, Taiyuan, 030001, Shanxi, People's Republic of China.
Yuhang ZhangDepartment of Vascular Surgery, The Second Hospital of Shanxi Medical University, Wuyi Road No. 382, Taiyuan, 030001, Shanxi, People's Republic of China.
Lizheng LiDepartment of Vascular Surgery, The Second Hospital of Shanxi Medical University, Wuyi Road No. 382, Taiyuan, 030001, Shanxi, People's Republic of China.
Sheng YanDepartment of Vascular Surgery, The Second Hospital of Shanxi Medical University, Wuyi Road No. 382, Taiyuan, 030001, Shanxi, People's Republic of China.
Honglin DongDepartment of Vascular Surgery, The Second Hospital of Shanxi Medical University, Wuyi Road No. 382, Taiyuan, 030001, Shanxi, People's Republic of China. honglindong@sxmu.edu.cn.

Funding

the Central Government Guidance Fund for Local Projects, China YDZJSX2021C026the Construction and Demonstration of Molecular Diagnosis and Treatment Platform for Vascular Diseases in Shanxi Province, China SCP-2023-17the Leading Talent Team Building Program 202204051002010The Shanxi Provincial Government's Regional Cooperation Program 202204041101038the Translational Medicine Engineering Research Center for Vascular Diseases of Shanxi Province, China 2022017
6 · The paper itself

Abstract

Diabetic nephropathy (DN) is one of the major causes of end-stage renal disease. This study aimed to explore the internal relationship between metabolic processes and autoimmune responses in patients with DN via untargeted metabolomics and Olink proteomics. The serum of 10 patients who were diagnosed with DN and 10 healthy individuals via untargeted metabolomics and Olink proteomics. Animal models were used to validate the characterized genes. Correlation analysis of major differentially abundant metabolites and differentially expressed proteins revealed that SIRT2 might be a key hub linking energy metabolism and innate immune responses. KEGG enrichment analysis showed that HIF-1 signaling pathway and renal cell carcinoma pathway were co-enriched pathways in energy metabolism and inflammatory response. VEGFA plays a vital role in these two signaling pathways. The ability of SIRT2 to regulate VEGFA expression has been demonstrated. In vivo experiments revealed that SIRT2, VEGFA, and HIF-1α were highly expressed in the kidneys of mice with diabetic nephropathy. In conclusion, our study combines metabolomics and proteomics to provide valuable insights into the synergistic roles of metabolic disorders and inflammatory responses in DN. The data suggest that SIRT2 may be a key target affecting these processes.

Indexed as

Diabetic NephropathiesMetabolomicsProteomicsSirtuin 2AnimalsFemaleHumansHypoxia-Inducible Factor 1, alpha SubunitKidneyMaleMiceMiddle AgedSignal TransductionVascular Endothelial Growth Factor AHIF1A protein, humanHypoxia-Inducible Factor 1, alpha SubunitSIRT2 protein, humanSirtuin 2Vascular Endothelial Growth Factor AVEGFA protein, humanDiabetic nephropathy (DN)InflammationOlink proteomicsSerumUntargeted metabolomics

Identifiers

PMID39905044
PMCPMC11794435

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.