Evidence map›Paper›PMID 40800606›Full record

ArticleBiochemistry and biophysics reports2025

Transcriptome analysis of serum biomarker, shared gene signature and pharmacological targets between diabetic cardiomyopathy and nephropathy.

Yang Liu, Mei Chen, Chen Zhu, Daoyu Guo

Abstract read
In one paragraph

Article in Biochemistry and biophysics reports, 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. Review
  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.

Yang LiuDepartment of Internal Medicine and Pediatrics, Clinical College of Qilu Medical University, China.
Mei ChenDepartment of Nursing Science, Clinical College of Qilu Medical University, China.
Chen ZhuDepartment of Internal Medicine and Pediatrics, Clinical College of Qilu Medical University, China.
Daoyu GuoDepartment of Neuroscience, Clinical College of Qilu Medical University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardio-renal injury frequently coexist in patients with diabetes mellitus. This study aims to explore the serum parameters, shared gene signature, pharmacological targets, and potential candidate compounds of the two major diabetic complications. This study employed a series of analytical methodologies, including omics analysis, bioinformatics analysis, correlation analysis, machine learning, network pharmacology, and molecular docking. External single-cell sequencing dataset was used to investigate the significance of the shared gene signatures in early diabetic nephropathy.

Indexed as

CardiomyopathyCo-existenceDiabetes mellitusGene signatureNephropathy

Identifiers

PMID40800606
PMCPMC12340516

What OpenQuestion holds

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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.