Comprehensive study of associated factors with Type 2 Diabetes in Mexico: protocol

Main Article Content

Aldo Ferreira Hermosillo https://orcid.org/0000-0002-5159-9856
Rodolfo Rivas-Ruiz https://orcid.org/0000-0002-5967-7222
Ivonne Analí Roy-García https://orcid.org/0000-0002-1859-3866
Eduardo Antonio Ferat-Osorio https://orcid.org/0000-0001-5361-7854
Octavio Castro-Escamilla https://orcid.org/0000-0002-4061-4854
Keiko Taniguchi-Ponciano https://orcid.org/0000-0003-1623-7398
Daniel Marrero-Rodríguez https://orcid.org/0000-0001-5311-6654
Amelia Irene Rodríguez-Jiménez https://orcid.org/0009-0009-4439-6231
Patricia Pérez-Zataray https://orcid.org/0009-0004-9180-4801
Jose Luis Cevallos-Rivera https://orcid.org/0009-0009-1129-3076
Jorge A. Hernández-Casildo https://orcid.org/0000-0003-1692-9917
José Félix Saavedra-Ramírez https://orcid.org/0009-0008-4898-9598
Víctor G. Cruz-Morales https://orcid.org/0009-0006-1144-2607
Omar Livio Peralta-Méndez https://orcid.org/0009-0008-8530-4957
Alejandro M. Vargas-García https://orcid.org/0009-0002-2564-0496
Laura C. Bonifaz https://orcid.org/0000-0001-8482-5648
Rosana Pelayo https://orcid.org/0000-0003-3401-9757
Asa Christina Laurell https://orcid.org/0009-0009-0168-3089

Keywords

Diabetes Mellitus, Type 2, Glycemic Control, Glycated Hemoglobin, Diabetic Nep, Genes, Transcriptome

Abstract

One of the main goals in the treatment of patients with type 2 diabetes (T2D) is the prevention of its complications. Most existing studies have evaluated a limited and isolated number of inflammatory molecules and metabolic factors, and only rarely have clinical and lifestyle variables been jointly considered.


The objective of this study is to describe the protocol design for a comprehensive assessment of patients with T2D, considering glycemic control and the development of complications.


A cross-sectional, observational, and multicenter study was conducted in three primary care units located in the states of Coahuila, Jalisco, and Veracruz. Glycemic dysregulation will be assessed by measuring glycated hemoglobin, while diabetic nephropathy will be identified through alterations in the glomerular filtration rate. Additionally, clinical and biochemical parameters, lifestyle habits, physical condition, type of treatment, treatment adherence, and nutritional aspects will be evaluated.


Furthermore, transcriptomic analysis using RNA-Seq will be performed to identify the genes that best stratify and distinguish patients with glycemic dysregulation, metabolic alterations, and diabetic nephropathy through principal component analysis and ROC curves based on relative RNA expression.


To determine clinical factors associated with the link between molecular profiles and glycemic dysregulation, multiple logistic regression models will be developed to identify a pathological molecular signature characteristic of the disease.

Abstract 35 | PDF Downloads 30

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