ArticleBioMed research international2026
Analysis of the Genetic Comorbid Mechanisms of Type 2 Diabetes, Alzheimer's Disease, and Hypertension Using Network Modularization.
Article in BioMed research international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Analysis of the Genetic Comorbid Mechanisms of Type 2 Diabetes, Alzheimer's Disease, and Hypertension Using Network Modularization.BioMed research international · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Type 2 diabetes mellitus (T2DM), Alzheimer's disease (AD), and hypertension (HTN) tend to be comorbidities and mutually influence each other; however, the mechanisms underlying their association remain unclear. This study was aimed at identifying genes associated with susceptibility to these three diseases and their mechanisms of action using integrated network modularization analysis. Methods: The transcriptome data of T2DM, AD, and HTN were downloaded from the GEO database to identify the differentially expressed genes (DEGs), and the coexpression modules of each disease were detected by WGCNA. Results: Based on the 343 overlapping DEGs that were identified, four common modules between AD, T2DM, and HTN were identified using Conclusions: Common modules between T2DM, AD, and HTN and eight key susceptibility genes were identified, which may reflect the underlying mechanism of the comorbidity of T2DM, AD, and HTN. These results provide insights for the development of clinical therapies for these diseases.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.