Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA389099 | ENA |
REPOSITORIES: ENA
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Project description:Osteoporosis is an age-related metabolic bone disease. Hence, osteoporotic patients might suffer from molecular features of accelerated aging, which is generally reflected by specific age-associated DNA methylation (DNAm) changes. In this study, we analyzed genome wide DNAm profiles of peripheral blood from patients with manifest primary osteoporosis and non-osteoporotic controls. Statistical analysis did not reveal any individual CG dinucleotides (CpG sites) with significant aberrant DNAm in osteoporosis. Subsequently, we analyzed if age-associated DNAm patterns are increased in OP. Using three independent age-predictors we did not find any evidence for accelerated epigenetic age in blood of osteoporotic patients. Taken together, osteoporosis is not reflected by characteristic DNAm patterns of peripheral blood that might be used as biomarker for the disease. The prevalence of osteoporosis is age-associated – but it is not associated with premature epigenetic aging in peripheral blood.
2018-03-13 | GSE99624 | GEO
Project description:We evaluated biological aging using five epigenetic clocks (Horvath, Hannum, PhenoAge, GrimAge and DunedinPoAm) calculated from DNA methylation measured in peripheral blood cells in a trans-diagnostic psychiatric sample including healthy controls. We found that burden of psychiatric disease, represented by a weighted score, was significantly associated with biological age acceleration as measured by GrimAge and DunedinPoAm. The faster pace of aging was even further accelerated in individuals exposed to physical abuse in childhood
2023-01-14 | GSE222468 | GEO
Project description:The main goal of the study was to measure the epigenetic age (also known as DNA methylation age) of human bone tissue and to relate it to chronological age. Toward this end, we used the epigenetic clock software described in Horvath S (2013) DNA methylation age of human tissues and cell types. Genome Biology.2013, 14:R115. DOI: 10.1186/10.1186/gb-2013-14-10-r115 PMID: 24138928 Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 486,000 CpGs. The trabecular bone pieces were obtained from the central part of the femoral head of Spanish (Caucasian) patients with hip fractures (due to osteoporosis) or subjects with osteoarthritis. About 85% of the cell population in this bone tissue are osteocytes and the remainder are osteoblasts, bone marrow, etc.
2015-06-03 | E-GEOD-64490 | biostudies-arrayexpress
Project description:To determine if disease can modify aging patterns in an affected tissue without altering the aging patterns of other tissues, blood and semen of individuals with oligozoospermia (n=10) were compared to the blood and semen of individuals with normozoospermia (n=24). The Horvath and Jenkins age calculators were utilized to predict the epigenetic age of blood and sperm through the use of DNA methylation. Using these calculators, it was found that sperm of oligozoospermic men were predicted to be significantly older than the sperm of normozoospermic men; however, there was not a significant epigenetic age difference in blood. These results lead to the conclusion that tissue specific aging is occurring in sperm of oligozoospermic individuals but not in unaffected somatic tissues (in our case, blood).
2023-09-08 | GSE213366 | GEO
Project description:Human DNA methylation Beadchip v1.2 was used to profile 508 whole blood samples. The main goal of the study was to relate Parkinson's disease status to measures of epigenetic age acceleration based on DNA methylation data. Here we focus on Caucasian subjects. To measure DNA methylation age, we used the epigenetic clock software described in Horvath S (n=2013) DNA methylation age of human tissues and cell types. Genome Biology.2013, 14:R115. DOI: 10.1186/10.1186/gb-2013-14-10-r115 PMID: 24138928.
2018-09-04 | GSE72774 | GEO
Project description:Cannabis use has been controversial, largely having been designated a controlled substance over the last century. The link between cannabis smoking and disease pathogenesis may best be explored through DNA methylation, an epigentic mechanism. We investigated the relationship between epigenetic age and cannabis smoking in participants within the Canadian Cohort of Obstructive Lung Disease (CanCOLD) cohort (n=93) (ClinicalTrials.gov identifier NCT00920348). Blood samples were profiled for DNA methylation using the Illumina MethylationEPIC BeadChipv1 at two separate laboratories and the blood epigenetic age of each sample was calculated using the Clock Foundation tool (https://dnamage.clockfoundation.org). An ANOVA was used to identify differences in the age acceleration residuals associated with cannabis smoking status (never, former, and current), adjusted for chronological age, sex, body mass index (BMI), batch, cigarette smoking status, and the first two principal components of blood cell proportions. Our observations indicated that current cannabis smoking and higher joint-years exposure are associated with epigenetic age acceleration; cessation, however, may help to normalize in part this age acceleration.
2024-07-01 | GSE255929 | GEO
Project description:In this study, we investigated whether stroke patients who later developed cancer exhibited an accelerated epigenetic age compared to those who did not. A total of 648 stroke patients were followed for 15 years, during which 83 individuals were diagnosed with cancer. Biological age (B-age) was estimated from DNA methylation data derived from whole blood samples collected within 24 hours of stroke onset. These samples were analyzed using the 450K or EPIC Illumina Beadchip arrays. We employed several epigenetic clocks to calculate B-age, including the Hannum, Horvath, PhenoAge, ZhangBLUP, ZhangEN, and the mitotic epiTOC clocks. After adjusting for multiple testing, competing risks, and key confounders, we found that patients who developed cancer were biologically older, as measured by the Hannum clock. This repository provides the raw idat files and processed DNA methylation values.
2024-11-12 | GSE280206 | GEO
Project description:Human DNA methylation Beadchip v1.2 was used to profile n=84 whole blood samples from Hispanics living in the USA. The main goal of the study was to relate Parkinson's disease status to measures of epigenetic age acceleration based on DNA methylation data. Here we focus on Hispanic subjects. To measure DNA methylation age, we used the epigenetic clock software described in Horvath S (n=2013) DNA methylation age of human tissues and cell types. Genome Biology.2013, 14:R115. DOI: 10.1186/10.1186/gb-2013-14-10-r115 PMID: 24138928.
2018-09-04 | GSE72776 | GEO
Project description:Long noncoding RNAs (lncRNAs) have emerged as integral regulators of physiology and disease, but specific roles of lncRNAs in bone disease remain largely unknown. Here, we show that lnc-ob1 regulates osteoblast activity and bone formation in mice by upregulating the osteogenic transcription factor Osterix. Expression of lnc-ob1 is enriched in osteoblasts and upregulated during osteoblastogenesis. We demonstrate that osteoblast-specific knock-in of lnc-ob1 enhances bone formation and increases bone mass. Pharmacological overexpression of lnc-ob1 specifically in osteoblasts confers resistance to ovariectomy-induced osteoporosis in mice. In humans, expression of the homologue, lnc-OB1, decreases with age in osteoblasts of patients with osteoporosis. Mechanistically, lnc-ob1 upregulates the expression of Osterix in mouse and human osteoblasts, probably via inhibition of H3K27me3 methylation. Our data indicate that lnc-OB1 regulates bone formation and might be a drug target for the treatment of osteoporosis.
2019-03-28 | GSE112318 | GEO
Project description:Osteoclasts are absorptive cells and play a critical role in homeostatic bone remodeling and pathological bone resorption. Emerging evidence suggests an important role for epigenetic regulation of osteoclastogenesis. In this study, we investigated the role of DOT1L, which regulates gene expression epigenetically by histone H3K79 methylation during osteoclast formation. DOT1L and H3K79me2 levels were upregulated during osteoclast differentiation. Small molecule inhibitor- (EPZ5676 or EPZ004777) or short hairpin RNA-mediated reduction in DOT1L expression promoted osteoclast differentiation and resorption. DOT1L inhibition also increased osteoclast area and accelerated bone mass reduction in a mouse ovariectomy (OVX) model of osteoporosis. DOT1L inhibitors did not alter osteoblast differentiation in vitro and in vivo. Proteomics data, together with bioinformatics analysis, revealed that DOT1L inhibition altered reactive oxygen species (ROS) generation, autophagy activation, and cell fusion-related protein expression. ROS generation increased, and autophagy activation and cell migration ability enhancement were verified subsequently by flow cytometry and transwell migration assays. DOT1L inhibition increased NFATc1 nuclear translocation and NF-κB activation and strengthend osteoclast fusion and expression of resorption-related protein CD9, and MMP9 in osteoclasts derived from RAW264.7. Our findings support a new mechanism of DOT1L-mediated H3K79me2 epigenetic regulation of osteoclast differentiation, implicating DOT1L as a new therapeutic target for osteoclast dysregulation-induced disease.
2018-01-24 | PXD006448 | Pride