Evidence map›Paper›PMID 40787105›Full record

Article3 Biotech2025

Integrative analysis of DEGs and regulatory networks in T2DM: identification of core genes and regulatory elements as novel therapeutic targets.

Madhu Yadav, Yusuf Akhter

Abstract read
In one paragraph

Article in 3 Biotech, 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

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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Madhu YadavDepartment of Biotechnology, Babasaheb Bhimrao Ambedkar University, Lucknow, 226025 Uttar Pradesh India.
Yusuf AkhterDepartment of Biotechnology, Babasaheb Bhimrao Ambedkar University, Lucknow, 226025 Uttar Pradesh India.ORCID 0000-0001-9564-9790

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) is a chronic and debilitating condition characterized by both insufficient production of insulin and insulin resistance, leading to poor blood sugar control. India ranks second globally in diabetes prevalence, with approximately 77 million individuals currently affected by the disease. Although extensive research has been conducted, the molecular mechanisms of T2DM remain inadequately understood, which continues to pose challenges in the development of effective therapeutic strategies. In this study, we analyzed the GSE25724 microarray dataset and identified 2048 differentially expressed genes (DEGs) associated with T2DM. Among these, key hub genes include Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-025-04453-9.

Indexed as

Differentially expressed genesHub genesMicroRNAsProtein–protein interaction networkReceiver operating characteristicTherapeutic targets and biomarkersTranscription factorsType 2 diabetes mellitus

Identifiers

PMID40787105
PMCPMC12334398

What Socratic holds

Textmetadata
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 Socratic graph.