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7 Results Found

  • Article
  • Open Access
40 Citations
10,694 Views
18 Pages

Polymorphism of the Transcription Factor 7-Like 2 Gene (TCF7L2) Interacts with Obesity on Type-2 Diabetes in the PREDIMED Study Emphasizing the Heterogeneity of Genetic Variants in Type-2 Diabetes Risk Prediction: Time for Obesity-Specific Genetic Risk Scores

  • Dolores Corella,
  • Oscar Coltell,
  • Jose V. Sorlí,
  • Ramón Estruch and ,
  • Laura Quiles,
  • Miguel Ángel Martínez-González,
  • Jordi Salas-Salvadó,
  • Olga Castañer,
  • Fernando Arós and
  • José M. Ordovás
  • + 14 authors+ 9 authors

6 December 2016

Nutrigenetic studies analyzing gene–diet interactions of the TCF7L2-rs7903146 C > T polymorphism on type-2 diabetes (T2D) have shown controversial results. A reason contributing to this may be the additional modulation by obesity. Moreover, TCF7L2...

(This article belongs to the Special Issue Nutrigenetics)
  • Article
  • Open Access
10 Citations
3,831 Views
14 Pages

Integrating Common Risk Factors with Polygenic Scores Improves the Prediction of Type 2 Diabetes

  • Yanina Timasheva,
  • Zhanna Balkhiyarova,
  • Diana Avzaletdinova,
  • Irina Rassoleeva and ,
  • Tatiana V. Morugova,
  • Gulnaz Korytina,
  • Inga Prokopenko and
  • Olga Kochetova
  • + 3 authors+ 0 author

We tested associations between 13 established genetic variants and type 2 diabetes (T2D) in 1371 study participants from the Volga-Ural region of the Eurasian continent, and evaluated the predictive ability of the model containing polygenic scores fo...

(This article belongs to the Section Molecular Endocrinology and Metabolism)
  • Article
  • Open Access
652 Views
21 Pages

Five Conserved microRNAs Dominate the Small-RNA Pool of Three Arid-Zone Camel-Forage Plants: De Novo Repertoires and a Species-Matched Test of Cross-Kingdom Targeting in the Dromedary

  • Maksym Zoziuk,
  • Abdirahman Ali,
  • Abel Dafogo Djibagao,
  • Carla Montesano and ,
  • Marina Potestà,
  • Alessandra Minchella,
  • Alessandro Terrinoni,
  • Maria Cristina Caroleo,
  • Giulia Cappelli and
  • Vittorio Colizzi
  • + 8 authors+ 3 authors

27 August 2026

Background: Camel husbandry underpins food security in drylands, and dromedary (Camelus dromedarius) milk is valued as a functional food whose composition is thought to be shaped by the desert forage that camels browse. Dietary plant microRNAs (miRNA...

(This article belongs to the Section RNA)
  • Article
  • Open Access
765 Views
12 Pages

Real-World Utility of GWAS-Based Diabetes Mellitus Panel Testing

  • In Hwa Jeong,
  • Kyung-Won Hong,
  • Ja-Eun Choi and
  • Bo-Kyung Shine

26 December 2025

This study evaluated the clinical utility of a polygenic risk score (PRS)-based multigene panel test for predicting diabetes mellitus (DM) in a healthy population. A total of 302 individuals underwent genetic testing using the HelloGene™ DM pan...

(This article belongs to the Special Issue Biomarkers in Diabetes Mellitus: From Discovery to Clinical Application)
  • Article
  • Open Access
10 Citations
4,250 Views
14 Pages

Toxicity Assessment and Treatment Options of Diclofenac and Triclosan Dissolved in Water

  • Lenka Wimmerova,
  • Olga Solcova,
  • Marketa Spacilova,
  • Nadija Cehajic and ,
  • Simona Krejcikova and
  • Petr Marsik
  • + 1 author+ 0 author

27 July 2022

The presence of pharmaceutical and personal care products in water is increasing tremendously nowadays. Typical representatives are diclofenac (DCF) and triclosan (TCS). Acute toxicity of these substances was experimentally assessed using the freshwa...

(This article belongs to the Section Environmental Chemistry)
  • Review
  • Open Access
2 Citations
1,567 Views
17 Pages

Gestational Diabetes and Genetics: MTNR1B, CDKAL1, and IRS1 as Critical Players

  • Guluzar Arzu Turan,
  • Nehir Aran and
  • Bulent Tolga Delibasi

27 February 2026

Gestational diabetes mellitus (GDM) is a prevalent pregnancy complication with significant short- and long-term consequences for mothers and offspring. While environmental factors, such as obesity and diet, contribute to the risk, genetic predisposit...

(This article belongs to the Section Human Genomics and Genetic Diseases)
  • Article
  • Open Access
22 Citations
5,950 Views
18 Pages

Decoding Diabetes Biomarkers and Related Molecular Mechanisms by Using Machine Learning, Text Mining, and Gene Expression Analysis

  • Amira M. Elsherbini,
  • Alsamman M. Alsamman,
  • Nehal M. Elsherbiny,
  • Mohamed El-Sherbiny and ,
  • Rehab Ahmed,
  • Hasnaa Ali Ebrahim and
  • Joaira Bakkach
  • + 2 authors+ 0 author

The molecular basis of diabetes mellitus is yet to be fully elucidated. We aimed to identify the most frequently reported and differential expressed genes (DEGs) in diabetes by using bioinformatics approaches. Text mining was used to screen 40,225 ar...