Project description:Epigenome analysis of 18 subjects and 20 controls, before, midpoint, and after a change in diet, exercise, and other lifestyle modifications
Project description:To investigate the microRNAs involved in the processes of beneficial and detrimental lifestyles, including caloric restriction(CR), exercise and high-fat diet(HF), we performed a comprehensive and thorough comparison of microRNAs expression profiles in liver among these lifestyle modifications.
Project description:Alternative splicing diversifies the cellular protein landscape but aberrant splicing is implicated in many diseases. We aimed to investigate to which extent mis-splicing contributes to insulin resistance as the causal defect of Type 2 Diabetes and whether diet- and exercise-based lifestyle interventions can reverse mis-splicing.
Project description:Alternative splicing diversifies the cellular protein landscape but aberrant splicing is implicated in many diseases. We aimed to investigate to which extent mis-splicing contributes to insulin resistance as the causal defect of Type 2 Diabetes and whether diet- and exercise-based lifestyle interventions can reverse mis-splicing.
Project description:Illumina Infinium EPIC HumanMethylation BeadChip data from saliva DNA samples from a healthy elderly cohort with individuals in the age range 70-95 in Southwest Sweden. The cohort was stratified into study groups based on participants´answers to a questionnaire of different lifestyle factors including vitamin supplementations, smoking and drinking habits, physical activity (per year), sun exposure and eating habits. Vitamin D intake was evaluated from the vitamin D supplementation (alone or in a multivitamin complex), dietary vitamin D intake (fish and seafood frequency) and vitamin D synthesis in the skin (sunlight exposure and use of sunscreen). Differential methylation analysis was performed for all the study groups and the combination of different factors with vitamin D supplementation. Gender, age, smoking and alcohol (SD and frequency) were used as covariates in the analyses. Only the study groups referred to the conclusions of the study are shown.
Project description:DNA methylation analysis using HumanMethylation850K BeadChips (Illumina) in human blood samples before and after an 18 months weight-loss intervention: the CENTRAL study [randomized controlled trial; NCT01530724]. All subjects underwent either Mediterranean/low-carbohydrate or low-fat diet with or without physical activity.
Project description:Lean male mice were fed a high fat diet (HFD, lard 24% w/w) for 16 weeks. At 9 weeks, when all hallmarks of prediabetes were established, groups of mice were treated with drug (metformin, glibenclamide, sitagliptin, rosiglitazone, pioglitazone, fenofibrate, T0901317, atorvastatin, salicylate or rofecoxib) for another 7 weeks together with the high fat diet. An additional group was switched back to a chow diet (dietary lifestyle intervention) after the first 9 weeks of high fat diet. All groups were compared to a control group receiving HFD alone and to a reference group fed chow (baseline reference) for the entire experimental period (16 weeks).
Project description:Background Many environmental and lifestyle factors have been implicated in the decline of sperm quality, with diet being one of the most plausible factors identified in recent years. Moreover, several studies have reported a close association between the alteration of specific sperm DNA methylation signatures and semen quality. Objectives To evaluate the effect of tree nuts consumption on sperm DNA methylation patterns in healthy individuals reporting eating a Western‐style diet. Material and Methods This is a post‐hoc analysis conducted in a subset of participants (healthy, non‐smoking, and young) from the FERTINUTS 14‐wk randomized‐controlled, parallel‐trial, recruited between December 2015 and February 2017. The participants included in the current study (n=72) were randomly selected in a proportion 2:1 from the original FERTINUTS trial between the 98 participants that completed the entire dietary intervention (nut group, n=48; control group, n=24). Sperm DNA methylation patterns were examined at baseline and after 14 weeks in 48 individuals consuming 60 g/d of mixed nuts (nuts group) and in 24 individuals following the usual Western‐style diet avoiding consumption of nuts (control group). Results Over the course of the trial, no significant changes in global methylation were observed between groups. However, in the nuts group, we identified 36 genomic regions that were significantly differentially methylated between the baseline and the end of the trial and 97.2% of the regions displayed hypermethylation. We identified no such change in the control group over the same period of time. We also utilized the recently developed germ line age calculator to determine if nut consumption resulted in alterations to the epigenetic age of cells and no significant differences were found. Discussion and Conclusion Adding nuts to a regular Western‐style diet subtly impacts sperm DNA methylation in specific regions, demonstrating that there are some sperm epigenome regions that could respond to diet.
Project description:Single-nuclei RNA sequencing (snRNA-seq) data of human adipose tissue. The samples are a part of a study investigating the effect of Lifestyle intervention on human adipose tissue. The 10 participants represented in this study were severely obese at project start with a mean BMI of 46.0 ± 3.1 kg/m2 and a BMI range of 31.4–63.0 kg/m2, with a 50/50 female/male ratio. After intervention mean BMI was 40.8 ± 2.8 kg/m2 with BMI range: 27.4–57.5 kg/m2. These participants took part in 15-weeks of consecutive lifestyle intervention consisting of a hypocaloric diet and moderate physical activity. Hypocaloric diet was calculated for the specific participant and calculated to reduce the subject’s body weight by approximately 1% per week. The exercise consisted of 2-3 hours of moderate-intensity physical activity (e.g. walking or swimming) 5 days per week. The specific details are reported in Bruun et al. Am J Physiol Endocrinol Metab, 2006 (https://doi.org/10.1152/ajpendo.00506.200). The snRNA-seq data contains nuclei isolated from 19 available biopsies with 9 samples before intervention and 10 samples after intervention.The RNA quality of one of the baseline samples was too low to proceed with snRNAseq (sample J "before" was excluded in the manuscript, but is included here).