👤 Laureano Simón

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2
Articles
2
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Also published as: Ernesto Simón,
articles
Ana Ramos-Levi, Ana Barabash, Johanna Valerio +17 more · 2022 · Frontiers in endocrinology · Frontiers · added 2026-04-24
Gestational diabetes mellitus (GDM) entails a complex underlying pathogenesis, with a specific genetic background and the effect of environmental factors. This study examines the link between a set of Show more
Gestational diabetes mellitus (GDM) entails a complex underlying pathogenesis, with a specific genetic background and the effect of environmental factors. This study examines the link between a set of single nucleotide polymorphisms (SNPs) associated with diabetes and the development of GDM in pregnant women with different ethnicities, and evaluates its potential modulation with a clinical intervention based on a Mediterranean diet. 2418 women from our hospital-based cohort of pregnant women screened for GDM from January 2015 to November 2017 (the San Carlos Cohort, randomized controlled trial for the prevention of GDM ISRCTN84389045 and real-world study ISRCTN13389832) were assessed for evaluation. Diagnosis of GDM was made according to the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria. Genotyping was performed by IPLEX MassARRAY PCR using the Agena platform (Agena Bioscience, SanDiego, CA). 110 SNPs were selected for analysis based on selected literature references. Statistical analyses regarding patients' characteristics were performed in SPSS (Chicago, IL, USA) version 24.0. Genetic association tests were performed using PLINK v.1.9 and 2.0 software. Bioinformatics analysis, with mapping of SNPs was performed using STRING, version 11.5. Quality controls retrieved a total 98 SNPs and 1573 samples, 272 (17.3%) with GDM and 1301 (82.7%) without GDM. 1104 (70.2%) were Caucasian (CAU) and 469 (29.8%) Hispanic (HIS). 415 (26.4%) were from the control group (CG), 418 (26.6%) from the nutritional intervention group (IG) and 740 (47.0%) from the real-world group (RW). 40 SNPs (40.8%) presented some kind of significant association with GDM in at least one of the genetic tests considered. The nutritional intervention presented a significant association with GDM, regardless of the variant considered. In CAU, variants rs4402960, rs7651090, IGF2BP2; rs1387153, rs10830963, MTNR1B; rs17676067, GLP2R; rs1371614, DPYSL5; rs5215, KCNJ1; and rs2293941, PDX1 were significantly associated with an increased risk of GDM, whilst rs780094, GCKR; rs7607980, COBLL1; rs3746750, SLC17A9; rs6048205, FOXA2; rs7041847, rs7034200, rs10814916, GLIS3; rs3783347, WARS; and rs1805087, MTR, were significantly associated with a decreased risk of GDM, In HIS, variants significantly associated with increased risk of GDM were rs9368222, CDKAL1; rs2302593, GIPR; rs10885122, ADRA2A; rs1387153, MTNR1B; rs737288, BACE2; rs1371614, DPYSL5; and rs2293941, PDX1, whilst rs340874, PROX1; rs2943634, IRS1; rs7041847, GLIS3; rs780094, GCKR; rs563694, G6PC2; and rs11605924, CRY2 were significantly associated with decreased risk for GDM. We identify a core set of SNPs in their association with diabetes and GDM in a large cohort of patients from two main ethnicities from a single center. Identification of these genetic variants, even in the setting of a nutritional intervention, deems useful to design preventive and therapeutic strategies. Show less
📄 PDF DOI: 10.3389/fendo.2022.1036088
GIPR
Ivan Muñoz, Ernesto Simón, Núria Casals +2 more · 2003 · Yeast (Chichester, England) · Wiley · added 2026-04-24
Inactivation of HAL3 in the absence of SIT4 function leads to cell cycle arrest at the G(1)-S transition. To identify genes potentially involved in the control of this phase of the cell cycle, a scree Show more
Inactivation of HAL3 in the absence of SIT4 function leads to cell cycle arrest at the G(1)-S transition. To identify genes potentially involved in the control of this phase of the cell cycle, a screening for multicopy suppressors of a conditional sit4 hal3 mutant (strain JC002) has been developed. The screening yielded several genes known to perform key roles in cell cycle events, such as CLN3, BCK2 or SWI4, thus proving its usefulness as a tool for this type of studies. In addition, this approach allowed the identification of additional genes, most of them not previously related to the regulation of G(1)-S transition or even without known function (named here as VHS1-3, for viable in a hal3 sit4 background). Several of these gene products are involved in phospho-dephosphorylation processes, including members of the protein phosphatase 2A and protein phosphatases 2C families, as well as components of the Hal5 protein kinase family. The ability of different genes to suppress sit4 phenotypes (such as temperature sensitivity and growth on non-fermentable carbon sources) or to mimic the functions of Hal3 was evaluated. The possible relationship between the known functions of these suppressor genes and the progress through the G(1)-S transition is discussed. Show less
no PDF DOI: 10.1002/yea.938
CLN3