Lauro Cortes-Hernandez
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Lauro Cortes-Hernandez has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Gabriela Ortiz-Cruz
Center for Research in Genetics and Genomics (CIGEN), The Autonomous University of Coahuila, Saltillo 25000, Coahuila, Mexico
1 shared publication - Rafael Gomes Araujo
Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey, Mexico
1 shared publication - Sandra Lucía Teniente
Center for Research in Genetics and Genomics (CIGEN), The Autonomous University of Coahuila, Saltillo 25000, Coahuila, Mexico
1 shared publication - Sunday Sedodo Nupo
Centro de Investigación en Genética y Genómica, Hospital Universitario de Saltillo, Universidad Autónoma de Coahuila, Mexico
1 shared publication - Yulianna Cordero
Center for Research in Genetics and Genomics (CIGEN), The Autonomous University of Coahuila, Saltillo 25000, Coahuila, Mexico
1 shared publication
Latest Publications
- Open Access
From Genes to Diets: A Critical Review of Genetic, Nutrigenomic and Epigenetic Mechanisms in Type 2 Diabetes Mellitus
Type 2 diabetes mellitus (T2D) represents over 90% of diabetes cases globally, posing a growing public health crisis with an estimated 783 million adults projected to be affected by 2045. This condition arises from a complex interplay of insulin resistance, progressive pancreatic β-cell dysfunction, and chronic low-grade inflammation, strongly influenced by genetic predisposition, obesity, sedentary lifestyle, and poor dietary habits. While genome-wide association studies (GWAS) have identified key susceptibility loci, including TCF7L2, PPARG, and KCNJ11, these varian0ts explain only ~10% of T2D heritability, underscoring the critical role of gene–environment interactions. This review synthesizes current evidence on the genetic, nutrigenomic, and epigenetic mechanisms underlying T2D pathogenesis and progression. We examine how dietary components, such as flavonoids, terpenoids, alkaloids, and bioactive compounds from natural products, modulate gene expression via transcription factors and influence insulin sensitivity, oxidative stress, and inflammation. Furthermore, we explore the emerging role of epigenetic modifications, including DNA methylation, histone acetylation, and chromatin remodeling, in mediating the lasting effects of hyperglycemia and environmental factors on T2D risk. The potential of epigenetic biomarkers for early diagnosis, patient stratification, and personalized therapy is discussed. Finally, we highlight how next-generation sequencing and artificial intelligence, particularly machine learning and deep learning models, are advancing multi-omics data integration, enabling improved T2D subtype classification, prognosis prediction, and the development of precision nutrition and pharmacoepigenetic strategies.
Open AccessFrom Genes to Diets: A Critical Review of Genetic, Nutrigenomic and Epigenetic Mechanisms in Type 2 Diabetes Mellitus
Type 2 diabetes mellitus (T2D) represents over 90% of diabetes cases globally, posing a growing public health crisis with an estimated 783 million adults projected to be affected by 2045. This condition arises from a complex interplay of insulin resistance, progressive pancreatic β-cell dysfunction, and chronic low-grade inflammation, strongly influenced by genetic predisposition, obesity, sedentary lifestyle, and poor dietary habits. While genome-wide association studies (GWAS) have identified key susceptibility loci, including TCF7L2, PPARG, and KCNJ11, these varian0ts explain only ~10% of T2D heritability, underscoring the critical role of gene–environment interactions. This review synthesizes current evidence on the genetic, nutrigenomic, and epigenetic mechanisms underlying T2D pathogenesis and progression. We examine how dietary components, such as flavonoids, terpenoids, alkaloids, and bioactive compounds from natural products, modulate gene expression via transcription factors and influence insulin sensitivity, oxidative stress, and inflammation. Furthermore, we explore the emerging role of epigenetic modifications, including DNA methylation, histone acetylation, and chromatin remodeling, in mediating the lasting effects of hyperglycemia and environmental factors on T2D risk. The potential of epigenetic biomarkers for early diagnosis, patient stratification, and personalized therapy is discussed. Finally, we highlight how next-generation sequencing and artificial intelligence, particularly machine learning and deep learning models, are advancing multi-omics data integration, enabling improved T2D subtype classification, prognosis prediction, and the development of precision nutrition and pharmacoepigenetic strategies.