98%
921
2 minutes
20
Gestational diabetes mellitus (GDM) is the most frequent metabolic disorder in pregnancy. Women with a GDM history are at increased risk of developing diabetes and cardiovascular diseases. Studies have demonstrated a significant correlation between several genes involved in the metabolic pathway of insulin and environmental factors. The aim of this study was to investigate the relationship between clinical parameters in GDM and variants in genes involved with nutrients and metabolism. Several variants rs1801282 (); rs8192678 (); rs7903146 (); rs2228671 (); rs1801133 (); rs662799 (); rs1260326 (); rs9939609 (); rs17782313 () were genotyped in 168 pregnant Caucasian women with or without GDM by High Resolution Melting (HRM) analysis. A significant correlation was observed between TT genotype of gene and increased risk of GDM (OR 5.4 [95% CI 1.5-19.3]). Moreover, a significant correlation was observed between lipid parameters and genetic variations in additional genes, namely, [ = 0,02], [ = 0,02], [ = 0,03], [ = 0,01], and [ = 0,02]. Our findings support the association between rs7903146 variant and an increased GDM risk. Results about the investigated genetic variants provide important information about cardiometabolic risk in GDM and help to plan future prevention studies.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5241477 | PMC |
http://dx.doi.org/10.1155/2017/4612623 | DOI Listing |
Stem Cell Res
September 2025
Department of General Pediatrics, Neonatology, and Pediatric Cardiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University, Düsseldorf 40225, Germany. Electronic address:
Pathogenic variants in the gene COQ4 cause primary coenzyme Q deficiency, which is associated with symptoms ranging from early epileptic encephalopathy up to adult-onset ataxia-spasticity spectrum disease. We genetically modified commercially available wild-type iPS cells by using a CRISPR/Cas9 approach to create heterozygous and homozygous isogenic cell lines carrying the disease-causing COQ4 variants c.458C > T, p.
View Article and Find Full Text PDFJCO Precis Oncol
September 2025
Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, Napoli, Italy.
Purpose: Tumor comprehensive genomic profiling (CGP) may detect potential germline pathogenic/likely pathogenic (P/LP) alterations as secondary findings. We analyzed the frequency of potentially germline variants and large rearrangements (LRs) in the RATIONAL study, an Italian multicenter, observational clinical trial that collects next-generation sequencing-based tumor profiling data, and evaluated how these findings were managed by the enrolling centers.
Patients And Methods: Patients prospectively enrolled in the pathway-B of the RATIONAL study and undergoing CGP with the FoundationOne CDx assays were included in the analysis.
Sci Adv
September 2025
The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
Influenza A viruses remain a global health threat, yet no universal antibody therapy exists. Clinical programs have centered on neutralizing mAbs, only to be thwarted by strain specificity and rapid viral escape. We instead engineered three non-neutralizing IgG2a mAbs that target distinct, overlapping epitopes within the conserved N terminus of the M2 ectodomain (M2e).
View Article and Find Full Text PDFSci Adv
September 2025
Department of Cell & Molecular Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Somatic mitochondrial DNA (mtDNA) mutations are frequently observed in tumors, yet their role in pediatric cancers remains poorly understood. The heteroplasmic nature of mtDNA-where mutant and wild-type mtDNA coexist-complicates efforts to define its contribution to disease progression. In this study, bulk whole-genome sequencing of 637 matched tumor-normal samples from the Pediatric Cancer Genome Project revealed an enrichment of functionally impactful mtDNA variants in specific pediatric leukemia subtypes.
View Article and Find Full Text PDFBioinformatics
September 2025
MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh United Kingdom.
Motivation: A genome-wide variant effect calibration method was recently developed under the guidelines of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP), following ClinGen recommendations for variant classification. While genome-wide approaches offer clinical utility, emerging evidence highlights the need for gene- and context-specific calibration to improve accuracy. Building on previous work, we have developed an algorithm tailored to converting functional scores from both multiplexed assays of variant effects (MAVEs) and computational variant effect predictors (VEPs) into ACMG/AMP evidence strengths.
View Article and Find Full Text PDF