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http://dx.doi.org/10.3389/fcimb.2022.1043635 | DOI Listing |
Am J Clin Nutr
January 2025
Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 S 2nd Street, Suite 300, Minneapolis, MN 55454. Electronic address:
JAMA Netw Open
January 2025
Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania.
Importance: Recently, the US Food and Drug Administration gave premarketing approval to an algorithm based on its purported ability to identify individuals at genetic risk for opioid use disorder (OUD). However, the clinical utility of the candidate genetic variants included in the algorithm has not been independently demonstrated.
Objective: To assess the utility of 15 genetic variants from an algorithm intended to predict OUD risk.
Life (Basel)
December 2024
MIBS Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, 00014 Helsinki, Finland.
In this section, we reintroduce the original aims and scope of the Special Issue entitled "Omics Biology in Diagnosis of Diseases: Advances in Bioinformatics and Data Analyses", enabling readers to find an appropriate framing for the remainder of the present closing editorial [...
View Article and Find Full Text PDFFront Mol Biosci
December 2024
Metabolomics Section, Department of Clinical Genomics, Center for Genomics Medicine, King Faisal Specialist Hospital and Research Centre (KFSHRC), Riyadh, Saudi Arabia.
Introduction: Gestational Diabetes Mellitus (GDM) is a metabolic disorder marked by Q10 hyperglycemia that can negatively affect both mothers and newborns. The increasing prevalence of GDM and the limitations associated with the standard diagnostic test highlight the urgent need for early screening strategies that promote timely interventions.
Methods: This study aims to investigate the metabolic profile associated with GDM through an untargeted metabolomic analysis using mass spectrometry (MS)- based omics.
J Cereb Blood Flow Metab
January 2025
McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA.
Spontaneous intracerebral hemorrhage(ICH) represents a life-threatening form of stroke, marked by its impact on survival and quality of life. ICH can be categorized from monogenic disorders linked to causal germline variants in ICH-related genes to complex sporadic cases, highlighting the interaction among lifestyle factors, environmental influences, and genetic components in determining risk. Among sporadic ICH, the influence of these factors varies across ICH subtypes, evidenced by heritability rates of up to 73% for lobar ICH versus 34% for non-lobar ICH.
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