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Sex differences in the association between insulin resistance and non-fatal myocardial infarction across glycaemic states.
Cardiovasc Diabetol
January 2024
Cardiology Unit, Department of Medicine Solna, Karolinska Institute Stockholm, Stockholm, Sweden.
Background: Females are generally less prone to cardiovascular (CV) events than males, but this protection is trumped by diabetes. The mechanism behind the increased relative risk in females with diabetes is not fully understood. Insulin resistance (IR) is suggested to be a more important contributor to CV morbidity in females than in males.
View Article and Find Full Text PDFThe complex biology of aryl hydrocarbon receptor activation in cancer and beyond.
Biochem Pharmacol
October 2023
Molecular Epidemiology Unit, Berlin Institute of Health at Charité and the German Cancer Consortium (DKTK), Partner Site Berlin, a partnership between DKFZ and Charité -Universitätsmedizin Berlin, 10117 Berlin, Germany.
The aryl hydrocarbon receptor (AHR) signaling pathway is a complex regulatory network that plays a critical role in various biological processes, including cellular metabolism, development, and immune responses. The complexity of AHR signaling arises from multiple factors, including the diverse ligands that activate the receptor, the expression level of AHR itself, and its interaction with the AHR nuclear translocator (ARNT). Additionally, the AHR crosstalks with the AHR repressor (AHRR) or other transcription factors and signaling pathways and it can also mediate non-genomic effects.
View Article and Find Full Text PDFTruncal Dynamics May Trump: Serial ctDNA to Predict Early Therapeutic Response.
Clin Cancer Res
January 2023
Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Promising utility of using serial ctDNA in metastatic colorectal cancer to both refine patient selection, reduce toxicity due to chemotherapy, and to evaluate emerging resistance mechanisms may lead the way to novel therapeutic strategies. However, important questions remain in validating its use as a predictive biomarker of treatment response. See related article by Vidal et al.
View Article and Find Full Text PDFN6-methyladenosine-related microRNAs risk model trumps the isocitrate dehydrogenase mutation status as a predictive biomarker for the prognosis and immunotherapy in lower grade gliomas.
Explor Target Antitumor Ther
September 2022
Department of Neurosurgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, Jiangsu, China.
Aim: Lower grade gliomas [LGGs; World Health Organization (WHO) grades 2 and 3], owing to the heterogeneity of their clinical behavior, present a therapeutic challenge to neurosurgeons. The aim of this study was to explore the N6-methyladenosine (mA) modification landscape in the LGGs and to develop an mA-related microRNA (miRNA) risk model to provide new perspectives for the treatment and prognostic assessment of LGGs.
Methods: Messenger RNA (mRNA) and miRNA expression data of LGGs were extracted from The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) databases.
Control-Normalized Fisher Ratio Analysis of Comprehensive Two-Dimensional Gas Chromatography Time-of-Flight Mass Spectrometry Data for Enhanced Biomarker Discovery in a Metabolomic Study of Orthopedic Knee-Ligament Injury.
Anal Chem
December 2020
Department of Chemistry, University of Washington, Box 351700, Seattle, Washington 98195, United States.
An innovative form of Fisher ratio (F-ratio) analysis (FRA) is developed for use with comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry (GC × GC-TOFMS) data and applied to the investigation of the changes in the metabolome in human plasma for patients with injury to their anterior cruciate ligament (ACL). Specifically, FRA provides a supervised discovery of metabolites that express a statistically significant variance in a two-sample class comparison: patients and healthy controls. The standard F-ratio utilizes the between-class variance relative to the pooled within-class variance.
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