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ORIGINAL RESEARCH article

Front. Mol. Biosci.

Sec. Molecular Diagnostics and Therapeutics

Volume 12 - 2025 | doi: 10.3389/fmolb.2025.1621413

Shared Transcriptional Regulators and Network Rewiring Identify Therapeutic Targets Linking Type 2 Diabetes Mellitus and Hypertension

Provisionally accepted
Claudia  Desiree Norzagaray-ValenzuelaClaudia Desiree Norzagaray-Valenzuela1,2Marco  Antonio Valdez-FloresMarco Antonio Valdez-Flores3Josue  Camberos-BarrazaJosue Camberos-Barraza3,4Alberto  De La Herrán-AritaAlberto De La Herrán-Arita3Juan  Fidel Osuna-RamosJuan Fidel Osuna-Ramos3Javier  Magaña-GómezJavier Magaña-Gómez5Carla  Angulo-RojoCarla Angulo-Rojo3Alma  Marlene Guadron-LlanosAlma Marlene Guadron-Llanos3Katia  Aviña-PadillaKatia Aviña-Padilla6*Loranda  Calderon-ZamoraLoranda Calderon-Zamora1*
  • 1Faculty of Biology, Autonomous University of Sinaloa, Culiacan, Mexico
  • 2Graduate Program in Biological Sciences, Faculty of Biology, Autonomous University of Sinaloa, Culiacan, Mexico
  • 3Faculty of Medicine, Autonomous University of Sinaloa, Culiacan, Mexico
  • 4Graduate Program in Molecular Biomedicine, Faculty of Medicine, Autonomous University of Sinaloa, Culiacan, Mexico
  • 5Faculty of Nutrition, Autonomous University of Sinaloa, Culiacan, Mexico
  • 6Department of Genetic Engineering, Center for Research and Advanced Studies (CINVESTAV-IPN), Irapuato, Mexico

The final, formatted version of the article will be published soon.

Background: Type 2 diabetes mellitus (T2DM) and Hypertension (HTN) frequently coexist and synergistically exacerbate vascular and immune dysfunction. Despite their clinical interrelation, these diseases have traditionally been studied in isolation, and the molecular mechanisms underlying their comorbidity remain poorly understood. This study aimed to uncover shared transcriptional programs and disease-specific regulatory networks contributing to cardiometabolic dysfunction. Methods: We systematically selected transcriptomic datasets and employed an integrative systems biology approach that combined differential gene expression analysis, co-expression network construction, protein-protein interaction mapping, transcription factor activity inference, and network rewiring analysis. Functional enrichment analyses were conducted to elucidate biological processes associated with disease-specific modules. Results: We identified distinct regulatory modules: ME3 in T2DM, enriched in metabolic stress response, intracellular trafficking, and inflammation, and ME7 in HTN, enriched in immune response and vascular remodeling. Protein interaction networks revealed key hub genes such as GNB1, JAK1, and RPS3 as T2DM-specific hubs, while MAPK1, BUB1B, and RPS6 were central in HTN. Network rewiring analysis showed condition-specific changes in gene connectivity, particularly in ST18 and SLBP gaining prominence in T2DM, and SLC16A7 and SPX showing decreased connectivity in HTN. Notably, transcription factor activity analysis revealed shared regulators HNF4A and STAT2 implicated in inflammation, oxidative stress, and vascular remodeling, highlighting a transcriptional convergence between the two conditions.This study provides novel insights into the molecular crosstalk between T2DM and HTN by identifying conserved transcriptional regulators and rewired gene networks. Our findings support the existence of a shared regulatory architecture underlying cardiometabolic comorbidity and suggest promising diagnostic and therapeutic targets for precision medicine.

Keywords: Type 2 diabetes mellitus1, hypertension2, transcriptomics3, Interactomics4, coexpression networks5, Inflammatory pathways6, Vascular remodeling7

Received: 01 May 2025; Accepted: 28 Jul 2025.

Copyright: © 2025 Norzagaray-Valenzuela, Valdez-Flores, Camberos-Barraza, De La Herrán-Arita, Osuna-Ramos, Magaña-Gómez, Angulo-Rojo, Guadron-Llanos, Aviña-Padilla and Calderon-Zamora. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Katia Aviña-Padilla, Department of Genetic Engineering, Center for Research and Advanced Studies (CINVESTAV-IPN), Irapuato, Mexico
Loranda Calderon-Zamora, Faculty of Biology, Autonomous University of Sinaloa, Culiacan, Mexico

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