Project description:This SuperSeries is composed of the following subset Series: GSE21321: Blood microRNA profiles and upregulation of hsa-miR-144 in males with type 2 diabetes mellitus. GSE26167: MicroRNA 144 impairs insulin signaling by inhibiting the expression of insulin receptor substrate 1 in Type 2 Diabetes mellitus Refer to individual Series
Project description:Gestational diabetes mellitus (GDM) and preeclampsia (PE) are major contributors to maternal and perinatal morbidity and mortality, characterized by dysregulated lipid metabolism, chronic inflammation, and immune dysfunction, disrupting maternal-fetal homeostasis. The coexistence of GDM and PE (PG) presents a uniquely complex clinical scenario with molecular mechanisms that remain poorly understood. Peripheral blood samples from 42 pregnant women were categorized into CTL (n=10), GDM (n=12), PE (n=10), and PG (n=10) groups. Lipidomic profiling via LC-MS and transcriptomic analysis through RNA sequencing were performed. Multi-omics integration correlated molecular signatures with clinical and neonatal outcomes, and a predictive model for PE was constructed using differentially expressed lipids. Additionally, UK Biobank data was analyzed to explore associations between pregnancy complications and maternal postpartum depression (PD).PE exhibited the most pronounced lipidomic alterations, correlating with adverse neonatal outcomes, including low birth weight, while GDM showed the most significant transcriptomic changes. PG demonstrated unique transcriptomic signatures associated with neuronal and immune dysfunction, suggesting a potential link to maternal PD. Seven lipid biomarkers were identified, significantly correlating with neonatal outcomes, and a lipid-based predictive model for PE showed robust performance across PE and PG cohorts. GDM and PE were significantly associated with PD, though PG’s association remains inconclusive due to limited data.This study highlights the utility of multi-omics in unraveling shared and disease-specific mechanisms underlying pregnancy complications. The identified biomarkers and PE predictive model offer promising avenues for advancing diagnosis, prognosis, and personalized maternal-fetal care.
Project description:To evaluate whether serum micoRNAs can be biomarkers for diagnosis of type 1 diabetes mellitus, we analyzed the serum microRNA expression profiles in 6 patients with new-onset type 1 diabetes mellitus and 6 age- and gender-matched healthy controls. A difference was observed in 31 miRNAs between the patients and controls (fold change ≥ 2, P < 0.05)
Project description:Type 2 diabetes mellitus represents a major health problem with increasing prevalence worldwide. Limited efficacy of current therapies have prompted a search for novel therapeutic options. Here we show that treatment of pre-diabetic mice with mitochondrially targeted tamoxifen, a potential anti-cancer agent with senolytic activity, improves glucose tolerance and reduces body weight with most pronounced reduction of visceral adipose tissue due to reduced food intake, suppressed adipogenesis and elimination of senescent cells. Glucose-lowering effect of mitochondrially targeted tamoxifen is linked to improvement of type 2 diabetes mellitus-related hormones profile and is accompanied by reduced lipid accumulation in liver. Lower senescent cell burden in various tissues, as well as its inhibitory effect on pre-adipocyte differentiation, results in lower level of circulating inflammatory mediators that typically enhance metabolic dysfunction. Targeting senescence with mitochodrially targeted tamoxifen thus represents an approach to the treatment of type 2 diabetes mellitus and its related comorbidities, promising a complex impact on senescence-related pathologies in aging population of patients with type 2 diabetes mellitus with potential translation into the clinic.
Project description:Global transcript profiling to identify differentially expressed skeletal muscle genes in insulin resistance, a major risk factor for Type II (non-insulin-dependent) diabetes mellitus. Compared gene expression profiles of skeletal muscle tissues from 18 insulin-sensitive versus 17 insulin-resistant equally obese, non-diabetic Pima Indians. Keywords: other