👤 Ignacio Mahillo-Fernández

🔍 Search 📋 Browse 🏷️ Tags ❤️ Favourites ➕ Add 🧬 Extraction
2
Articles
articles
Olga Pomares, Jorge Laborda, Claudia Vales-Villamarín +6 more · 2025 · Pediatric research · Nature · added 2026-04-24
The DLK1 human gene encodes for the transmembrane EGF-like repeat-containing protein DLK1, which acts as a modulator of adipogenesis. A role for DLK1 in energy metabolism and lipid homeostasis has bee Show more
The DLK1 human gene encodes for the transmembrane EGF-like repeat-containing protein DLK1, which acts as a modulator of adipogenesis. A role for DLK1 in energy metabolism and lipid homeostasis has been suggested and DLK1 gene variants have been related to pubertal development. The aim of this study was to uncover DLK1 SNPs in a cohort of children and analyze their relationship with anthropometric and biochemical variables. Our population-based sample comprises 1237 healthy 6-to-8-year-old Caucasian children. The presence of five DLK1 SNPs (rs1802710, rs876374, rs7155375, rs57098752, and rs7149242) was analyzed by Real-Time PCR, using predesigned TaqMan™ Genotyping Assays. We observed that the SNPs rs1802710 and rs876374 were associated with BMI, and the prevalence of these two SNPs was different in normal-weight children compared to children with obesity. Related to biochemical variables, we found a significant association of the SNPs rs1802710, rs876374, and rs57098752 and their combination with Apo-B plasma concentrations after adjusting by BMI and sex. The SNPs rs1802710 and rs57098752 were also significantly associated with plasma levels of LDL-C and HDL-C, respectively. Our study reveals that DLK1 gene variants may influence both body weight and lipid homeostasis, affecting particularly to the Apo-B biology, in children. DLK1 polymorphisms are associated with BMI and with lipid levels, independently of BMI, early in life. Our data add to the existing literature the evidence that DLK1 gene variants impact on lipid metabolism. The confirmation at the population level that DLK1 genetic variants are associated with anthropometric and lipid variables sustains the role of DLK1 in obesity and related disorders and should lead to further studies aimed at clarifying this effect. Show less
no PDF DOI: 10.1038/s41390-025-04005-0
APOB
Juan Torre-Castro, Marta Rodríguez, Ruth Alonso-Alonso +10 more · 2024 · The British journal of dermatology · Oxford University Press · added 2026-04-24
Merkel cell carcinoma (MCC) is an aggressive malignant neuroendocrine tumour. There are two subsets of MCC, one related to Merkel cell polyomavirus (MCPyV) and the other to ultraviolet radiation (UVR) Show more
Merkel cell carcinoma (MCC) is an aggressive malignant neuroendocrine tumour. There are two subsets of MCC, one related to Merkel cell polyomavirus (MCPyV) and the other to ultraviolet radiation (UVR). MCPyV-positive and MCPyV-negative MCCs have been considered to be different tumours, as the former harbour few DNA mutations and are not related to UVR, and the latter usually arise in sun-exposed areas and may be found in conjunction with other keratinocytic tumours, mostly squamous cell carcinomas. Two viral oncoproteins, large T antigen (LT; coded by MCPyV_gp3) and small T antigen (sT; coded by MCPyV_gp4), promote different carcinogenic pathways. To determine which genes are differentially expressed in MCPyV-positive and MCPyV-negative MCC; to describe the mutational burden and the most frequently mutated genes in both MCC subtypes; and to identify the clinical and molecular factors that may be related to patient survival. Ninety-two patients with a diagnosis of MCC were identified from the medical databases of participating centres. To study gene expression, a customized panel of 172 genes was developed. Gene expression profiling was performed with nCounter technology. For mutational studies, a customized panel of 26 genes was designed. Somatic single nucleotide variants (SNVs) were identified following the GATK Best Practices workflow for somatic mutations. The expression of LT enabled the series to be divided into two groups (LT positive, n = 55; LT negative, n = 37). Genes differentially expressed in LT-negative patients were related to epithelial differentiation, especially SOX9, or proliferation and the cell cycle (MYC, CDK6), among others. Congruently, LT displayed lower expression in SOX9-positive patients, and differentially expressed genes in SOX9-positive patients were related to epithelial/squamous differentiation. In LT-positive patients, the mean SNV frequency was 4.3; in LT-negative patients it was 10 (P = 0.03). On multivariate survival analysis, the expression of SNAI1 [hazard ratio (HR) 1.046, 95% confidence interval (CI) 1.007-1.086; P = 0.02] and CDK6 (HR 1.049, 95% CI 1.020-1.080; P = 0.001) were identified as risk factors. Tumours with weak LT expression tend to co-express genes related to squamous differentiation and the cell cycle, and to have a higher mutational burden. These findings are congruent with those of earlier studies. Show less
no PDF DOI: 10.1093/bjd/ljae033
SNAI1