| Autor: |
Eunice Lares-Villaseñor, Martha Guevara-Cruz, Samuel Salazar-García, Omar Granados-Portillo, Mariela Vega-Cárdenas, Miguel Ernesto Martinez-Leija, Isabel Medina-Vera, Luis E González-Salazar, Liliana Arteaga-Sanchez, Rocío Guízar-Heredia, Karla G Hernández-Gómez, Aurora E Serralde-Zúñiga, Edgar Pichardo-Ontiveros, Adriana M López-Barradas, Laura Guevara-Pedraza, Guillermo Ordaz-Nava, Azalia Avila-Nava, Armando R Tovar, Patricia E Cossío-Torres, Ulises de la Cruz-Mosso, Celia Aradillas-García, Diana P Portales-Pérez, Lilia G Noriega, Juan M Vargas-Morales |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
PLoS ONE, Vol 19, Iss 2, p e0299543 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1932-6203 |
| DOI: |
10.1371/journal.pone.0299543&type=printable |
| Popis: |
Circulating concentration of arginine, alanine, aspartate, isoleucine, leucine, phenylalanine, proline, tyrosine, taurine and valine are increased in subjects with insulin resistance, which could in part be attributed to the presence of single nucleotide polymorphisms (SNPs) within genes associated with amino acid metabolism. Thus, the aim of this work was to develop a Genetic Risk Score (GRS) for insulin resistance in young adults based on SNPs present in genes related to amino acid metabolism. We performed a cross-sectional study that included 452 subjects over 18 years of age. Anthropometric, clinical, and biochemical parameters were assessed including measurement of serum amino acids by high performance liquid chromatography. Eighteen SNPs were genotyped by allelic discrimination. Of these, ten were found to be in Hardy-Weinberg equilibrium, and only four were used to construct the GRS through multiple linear regression modeling. The GRS was calculated using the number of risk alleles of the SNPs in HGD, PRODH, DLD and SLC7A9 genes. Subjects with high GRS (≥ 0.836) had higher levels of glucose, insulin, homeostatic model assessment- insulin resistance (HOMA-IR), total cholesterol and triglycerides, and lower levels of arginine than subjects with low GRS (p < 0.05). The application of a GRS based on variants within genes associated to amino acid metabolism may be useful for the early identification of subjects at increased risk of insulin resistance. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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