Additional file 3 of MICHELINdb: a web-based tool for mining of helminth-microbiota interaction datasets, and a meta-analysis of current research

Additional file 3: Figure S1. Gut microbial profiles of helminth-infected and -uninfected samples. Samples from Non-rodents (i.e. human, cat, dog and goat) (a) and Rodents (i.e. mouse, hamster and wild yellow-necked mouse) (b), are clustered at operational taxonomic unit (OTU) level by supervised canonical correspondence analysis (CCA), using ‘type/site of sampling’ as explanatory variable

Additional file 2 of MICHELINdb: a web-based tool for mining of helminth-microbiota interaction datasets, and a meta-analysis of current research

Additional file 2: Table S2. Metadata associated with individual helminth-infected and -uninfected samples (n = 732) included in the meta-analysis. Information provided was derived from the original publication or following personal communication with the corresponding author

Additional file 1 of MICHELINdb: a web-based tool for mining of helminth-microbiota interaction datasets, and a meta-analysis of current research

Additional file 1: Table S1. Studies investigating the relationships between helminth parasites and vertebrate gut microbiota included in the MICrobiome HELminth INteractions database (MICHELINdb). Studies from which datasets included in the meta-analysis were retrieved are indicated in green

Reorientational Dynamics of NaBH₄ and KBH₄

The details of the rotational dynamics of borohydride ions in both the ordered and disordered crystal phases of NaBH4 and in the disordered crystal phase of KBH4 were determined by quasielastic neutron scattering (QNS). Model fits of the QNS data indicate that the BH4− tetrahedron in the ordered phase of NaBH4 rotates with a combination of 2-site and 3-site reorientations that preserve its crystallographic orientation. The QNS results for the disordered phases are well described by a model assuming nearest-neighbor BH4− jumps from one corner to another of a cube formed by eight hydrogen positions of half occupancy. Distinguishing between likely mechanisms for reorientation was made possible by collecting data at sufficiently high momentum transfer. The activation energies derived for the low-temperature and high-temperature phases of NaBH4 are 13.4 ± 0.8 and 11.9 ± 0.5 kJ/mol, respectively. We find an activation energy for KBH4 of 14.6 ± 0.5 kJ/mol in the high-temperature phase. The torsional vibration bands of both borohydrides were also measured by inelastic neutron scattering

Additional file 1: of Helminth infections and gut microbiota – a feline perspective

Dataset S1. Sequence data representing the V3-V4 hypervariable region of the bacterial rRNA amplified from faecal samples from Toxocara cati-positive (Tc+) and T. cati-negative (Tc-) cats, and taxonomic assignment. (XLSX 3501 kb

Additional file 2: Figure S1. of Helminth infections and gut microbiota – a feline perspective

Hierarchical clustering heatmap of the composition of the faecal microbiota phyla of Toxocara cati-positive (Tc+) and T. cati-negative (Tc-) cats. Dendrograms at the top of the heatmap indicate relationships between samples. Colour intensity represents the relative abundance of sequences representing the corresponding bacterial family in each sample. (PDF 63 kb

Resistance and aerobic training increases genome-wide DNA methylation in women with polycystic ovary syndrome

Physical activity is a first-line treatment for polycystic ovary syndrome (PCOS). Resistance or aerobic exercise improves metabolic complications, reproductive outcomes, and quality of life in PCOS. DNA methylation reprogramming during exercise may be the major modifier behind these changes. We sought to evaluate genome-wide DNA methylation changes after supervised resistance and aerobic exercise in women with PCOS. Exercises were performed in 56 women with PCOS (resistance, n = 30; aerobic, n = 26), for 16 weeks (wks), three times per week, in 50-minute to one-hour sessions. Anthropometric indices and hormonal and metabolic parameters were measured before and after training. Genome-wide leukocyte DNA methylation was analysed by Infinium Human MethylationEPIC 850K BeadChip microarrays (Illumina). Both resistance and aerobic exercise improved anthropometric indices, metabolic dysfunction, and hyperandrogenism in PCOS after the training programme, but no differences were observed between the two exercises. Resistance and aerobic exercise increased genome-wide DNA methylation, although resistance changed every category in the CpG island context (islands, shores, shelve, and open sea), whereas aerobic exercise altered CpG shores and the open sea. Using a stringent FDR (>40), 6 significantly differentially methylated regions (DMRs) were observed in the resistance exercise cohort and 14 DRMs in the aerobic cohort, all of which were hypermethylated. The increase in genome-wide DNA methylation may be related to the metabolic and hormonal changes observed in PCOS after resistance and aerobic exercise. Since the mammalian genome is hypermethylated globally to prevent genomic instability and ageing, resistance and aerobic exercise may promote health and longevity through environmentally induced epigenetic changes.</p

Per- and Polyfluoroalkyl Substances (PFAS), Epigenetic Age, and DNA Methylation: A Cross-Sectional Study of Firefighters

Supplemental Table S1. Serum PFAS Concentrations (geometric means, ng/mL) by Categorical Demographic Variables Supplemental Table S2. Significantly Differentially Methylated CpG Sites by PFAS Seum Concentration (at q-value Supplemental Table S3. Significantly Differentially Methylated Regions by PFAS Exposure Supplemental Table S4. Pathways Enriched for Differential Methylation by PFAS Exposure Supplemental Table S5. Association between Serum PFAS Concentrations (ln-transformed ng/mL) and Cell Type Estimates </div