Evidence map›Paper›PMID 41189662›Full record

ArticleInternational journal of general medicine2025

Comprehensive Analysis Reveals Biomarkers Related to Diabetic Peripheral Neuropathy and Its Molecular Mechanism.

Qiujin Zhu, Shangheng Fan, Jingru Mou, Manlu Zhao, Changlu Li, Benben Yang, Yihan Shangguan, Xia Chen, Yulan Cai

Abstract read
In one paragraph

Article in International journal of general medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Qiujin Zhu *Department of Endocrinology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563006, People's Republic of China.
Shangheng Fan *Department of Endocrinology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563006, People's Republic of China.
Jingru MouDepartment of Endocrinology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563006, People's Republic of China.
Manlu ZhaoDepartment of Endocrinology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563006, People's Republic of China.
Changlu LiDepartment of Endocrinology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563006, People's Republic of China.
Benben YangDepartment of Endocrinology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563006, People's Republic of China.
Yihan ShangguanDepartment of Endocrinology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563006, People's Republic of China.
Xia ChenDepartment of Endocrinology, Kweichow Moutai Hospital, Renhuai, Guizhou, 564501, People's Republic of China.
Yulan CaiDepartment of Endocrinology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563006, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Diabetic peripheral neuropathy (DPN) is a common complication of both type 1 and 2 diabetes. DPN lacks accurate early diagnostic indicators, prompting united identification of biomarkers through transcriptomics and Mendelian randomization (MR) to inform DPN prevention and treatment strategies. Patients and Methods: Differential expression analysis pinpointed DPN-related genes (DE-DPN-RGs) by screening differentially expressed genes (DEGs) across GSE95849 and GSE185011 datasets. MR approach validated DE-DPN-RGs causally linked to DPN as potential biomarkers, with sensitivity analysis and Steiger test reinforcing the findings. These biomarkers' expressions were verified via RT-qPCR, while their biological roles, pathways influencing DPN progression, and possible therapeutic targets were comprehensively investigated. Results: 124 DE-DPN-RGs were identified from 5340 DEGs1 and 896 DEGs2, among them, Conclusion: In conclusion,

Indexed as

biomarkerdiabetic peripheral neuropathydrug predictiongene set enrichment analysismendelian randomization

Identifiers

PMID41189662
PMCPMC12582402

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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 OpenQuestion graph.