Aberrant DNA methylation accumulated in normal tissues, namely methylation burden, is associated with risk of carcinogenesis. The levels of methylation burden are known to be influenced by multiple factors, such as genetic factors and strengths of carcinogenic factors. However, the impact of the degree of exposure to a carcinogenic factor is still unclear. Here, using a Mongolian gerbil model of Helicobacter pylori (H. pylori)-induced gastritis, we aimed to clarify the impact of the degree of exposure on methylation burden in normal gastric tissues. DNA methylation levels of four CpG islands, HE6, SA9, SB5, and SD2, increased by H. pylori infection, depending upon the infection period. After eradication of H. pylori, DNA methylation levels decreased, but tended to be higher in gastric mucosae with a longer infection period. DNA molecules with dense methylation, but not those with sparse methylation, increased depending upon the infection period. DNA methylation levels of one of the four CpG islands, SA9, tended to be higher in gastric mucosae of gerbils infected with H. pylori, even 50 weeks after eradication than in those of non-infected gerbils. These results showed for the first time that the levels of methylation burden in normal tissues are influenced by the degree of exposure to a carcinogenic factor.
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http://dx.doi.org/10.1111/cas.13136 | DOI Listing |
Nat Commun
January 2025
Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.
We have developed the regionalpcs method, an approach for summarizing gene-level methylation. regionalpcs addresses the challenge of deciphering complex epigenetic mechanisms in diseases like Alzheimer's disease. In contrast to averaging, regionalpcs uses principal components analysis to capture complex methylation patterns across gene regions.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Pennsylvania, Philadelphia, PA, USA.
Background: Alzheimer's disease (AD) is characterized by neocortical dissemination of neurofibrillary tangles (NFTs) while primary age-related tauopathy (PART) has NFTs largely confined to the hippocampus and adjacent structures. Thus, PART and AD represent two extremes of a spectrum of NFT spread. We investigated epigenetic mechanisms of interindividual variation in NFT spread.
View Article and Find Full Text PDFBackground: Multi-cancer early detection (MCED) through a single blood test significantly advances cancer diagnosis. However, most MCED tests rely on a single type of biomarkers, leading to limited sensitivity, particularly for early-stage cancers. We previously developed SPOT-MAS, a multimodal ctDNA-based assay analyzing methylation and fragmentomic profiles to detect five common cancers.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Research, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan.
Human resistin is a proinflammatory cytokine involving the development and progression of cancer and cardiovascular diseases. However, prediction of long-term outcome using circulating resistin level and its genetic determinants in a population-based study remain to be explored. After genome-wide association study (GWAS), DNA methylation (DNAm) analysis and functional assays of a RETN rs370006313 variant, we tested whether resistin level and its genetic determinants can be used to determine the long-term outcomes of 5678 Taiwan Biobank (TWB) participants.
View Article and Find Full Text PDFCommun Med (Lond)
December 2024
Rostock Medical Breath Research Analytics and Technologies (ROMBAT), Department of Anesthesiology, Intensive Care Medicine and Pain Therapy, Rostock University Medical Center, Rostock, Germany.
Background: Menopause driven decline in estrogen exposes women to risk of osteoporosis. Detection of early onset and silent progression are keys to prevent fractures and associated burdens.
Methods: In a discovery cohort of 120 postmenopausal women, we combined repeated quantitative pulse-echo ultrasonography of bone, assessment of grip strength and serum bone markers with mass-spectrometric analysis of exhaled metabolites to find breath volatile markers and quantitative cutoff levels for osteoporosis.
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