Dataset Information

Gene expression profiles in the Leiden Longevity Study

ABSTRACT: Biomarkers of familial longevity may represent mechanisms underlying healthy aging. To identify gene expression profiles marking human familial longevity, an explorative genome-wide expression study was performed among 50 families from the Leiden Longevity Study who have a life-long survival advantage of 30%. Gene expression profiles were compared between 50 nonagenarians (mean age 93.4 years) and 50 controls (mean age 61.9 years) to investigate differential gene expression that may arise as a function of both chronological age and familial longevity. Differential expression was observed for 2953 probes (FDR≤0.05) and for 109 GO terms, which corresponded well with previously reported findings on gene expression changes associated with chronological age, such as ‘immune response’, ‘signal transduction’ and ‘regulation of gene transcription’. To explore which of the 2953 chronological age-related probes also marked familial longevity, we compared gene expression profiles of 50 offspring of the nonagenarians (mean age 60.8 years) with the same 50 controls. Since the average gene expression levels did not differ between offspring and controls, we tested for differential expression as a function of age (age range 43-79 years). We identified 360 probes (FDR≤0.1) and the ‘Rho protein signal transduction’ GO biological process (FWER = 0.079) whose expression signatures marked familial longevity already at middle-age. Of these probes, 236 were annotated and represent 244 known genes, including WRN and MYC. Interestingly, 51 genes are involved in the regulation of gene expression. Further investigation into the genes involved may be important for unraveling mechanisms underlying longevity.

ORGANISM(S): Homo sapiens

PROVIDER: GSE16717 | GEO | 2011/09/04

SECONDARY ACCESSION(S): PRJNA117477

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:The exact role of epigenetics in the pathogenesis of severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) is unclear. Herein we have hypothesized that viral micro RNAs (miRNAs) may modulate host cellular and immune responses which may lead to varied clinical presentations. Using bioinformatics tools, we have first predicted putative miRNAs in the genotype of the SARS-CoV-2 and their potential gene targets. Thereafter, quantification of mRNA of key genes regulating inflammation, coagulation, neuropsychiatric functions, fibrosis and glucose metabolism was evaluated in the peripheral blood mononuclear cells and bone marrow of patients suffering from different severities of SARS-CoV-2 infection. Key genes regulating innate immunity, lymphopoiesis, T-cell and B-cell development, cytokine storm, coagulation pathways, fibrosis, neuropsychiatric manifestations, glucose metabolism, and olfaction were significantly downregulated in severe infection when compared with mild infection. Downregulated genes mRNA recovered to normal/near normal levels on recovery from infection. SARS-CoV-2 miRNAs appear promising players in the pathogenesis of COVID-19. Strategies silencing these miRNAs may be explored further as potential therapeutic targets. Patients with severe illness were defined as: respiratory rate ≥30 per min or SpO2 <90% in ambient air, or acute respiratory distress syndrome or septic shock and those with mild illness as: patients with any of the symptoms like fever, cough, sore throat, malaise, headache, muscle pain, nausea, vomiting, diarrhea, loss of taste and smell, but no dyspnea, or abnormal chest imaging. There were 4 severe SARS CoV-2 patients, Median age 57.5 years (Range 50-72 years), all males, median disease duration 7.5 days, duration of hospital stay 38 days with outcome as 3 deaths and one Post covid lung fibrosis. All 4 mild cases had median age 55.5 years (range 42-0 years), 3 males and one female, mean disease duration 2.8 days, mean duration of hospitalization 14.5 days and all recovered. Median age of all 4 recovered cases was 59 years (range 43-77 years), 3 males and one female, mean disease duration of 6 days, mean disease duration of 22 days and all recovered. There were 4 healthy subjects with median age 50 years (range 42-54 years) and there were 3 males and one female.

Project description:Trihalomethanes (THM) are a class of disinfection by-products in chlorinated waters linked to deleterious health effects in humans although biological mechanisms are unclear. We aimed to study short-term changes in blood gene expression of adult recreational swimmers associated with physical activity and THM exposure. Adult volunteers (18-50 years, non-smokers, non-asthmatics) swam 40 minutes in an indoor chlorinated pool in Barcelona. Blood samples and THM measurements in exhaled breath were collected before and 5 min/1h after swimming, respectively. Physical activity intensity was calculated as metabolic equivalents (METs). Gene expression in whole blood RNA was evaluated using Illumina HumanHT-12v3 Expression-BeadChip. Linear mixed models, Gene Set Enrichment Analyses-GSEA and mediation analyses were used. The study population comprised 37 before-after pairs, with mean age 31 years (SD: 6.0), 60% female, and average changes before-after swimming of 1.75 METs (SD: 1.36) and 0.23 µg/m3 of exhaled bromoform (SD: 0.23). Among THM, bromoform yielded the strongest effect on gene expression changes. Eighty eight probes were associated with bromoform, 326 probes with MET and 77 probes overlapped. In mutually adjusted models, 15 probes remained significant for MET after False Discovery Rate (FDR). Although not FDR significant, in 23 nominally significant probes (p-value <0.05), fulfilling criteria for exploring mediation, 29.5 to 53.4% of MET effect was mediated by exhaled bromoform. Individual genes in this subset and the GSEA of the mutually adjusted gene lists of bromoform and MET were associated with pathways related to inflammatory/immune response and to several cancers. In this first study evaluating short-term gene expression changes associated with swimming in a chlorinated pool, changes in gene expression were observed in association with physical activity with part of this effect mediated through bromoform exposure. Identified genes were correlated with inflammatory, immune response and cancer pathways. These results need replication in larger studies.

Dataset Information

Gene expression profiles in the Leiden Longevity Study

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure