A study in BMCMicrobiol finds that dysbiotic microbiome variation in colorectal cancer patients is linked to lifestyles and metabolic diseases.
-values from the generalized linear model for associations of the dietary alpha-diversity and from the permutational of variance tests for associations of dietary beta-diversity with lifestyle factors and metabolic diseases. Linear discriminant analysis effect size analysis and cladogram for abundant bacteria in smokers and non-smokers. Yellowish circles indicate taxon which are not enriched in either smoking or non-smoking group.
Linear discriminant analysis effect size analysis and cladogram for abundant bacteria in diabetic and non-diabetic individuals. Yellowish circles indicate taxon which are not enriched in either diabetes or non-diabetes group. The diameter of each circle is proportional to the relative abundance.Within- and between-subject dietary diversity of polyunsaturated fatty acid intake according to history of hypertension and smoking status.
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BMC Digital Health publishes its first articles; lets celebrate with the Editorial Board - BMC Series blogI am very pleased to announce that the latest addition to the BMC series, BMC Digital Health, has fully launched and has published its first articles. As a way of celebrating the occasion, we decided to ask the Editorial Board Members of this exciting title about their thoughts on the journal and the future of digital health.
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BMC Roadmachine AMP ONEA fast road e-bike with flattering handling that's partnered with an awesome motor system
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Belfast man jailed for assaulting pregnant partnerDescribing the relationship as 'volatile', Mr Shields said it was accepted Montgomery had a 'chequered background'
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Childbirth-related post-traumatic stress disorder symptoms and mother–infant neurophysiological and behavioral co-regulation during dyadic interaction: study protocol - BMC PsychologyBackground Mother’s childbirth-related posttraumatic stress disorder (PTSD) symptoms have a negative impact on mother and infant’s behaviors during dyadic interactions which may increase mother–infant neurophysiological and behavioral co-regulation difficulties, leading to dysregulated mother–infant interactions. This study was specifically designed to analyze: (1) the sociodemographic and obstetric factors associated with mother’s childbirth-related PTSD symptoms; (2) mother–infant neurophysiological functioning and behavioral co-regulation during dyadic interaction; (3) the impact of mother’s childbirth-related PTSD symptoms on neurophysiological and behavioral mother–infant co-regulation during dyadic interaction; (4) the moderator role of previous trauma on the impact of mother’s childbirth-related PTSD symptoms on neurophysiological and behavioral mother–infant co-regulation during dyadic interaction; and (5) the moderator role of comorbid symptoms of anxiety and depression on the impact of mother’s childbirth-related PTSD symptoms on neurophysiological and behavioral mother–infant co-regulation during dyadic interaction. Methods At least 250 mothers will be contacted in order to account for refusals and dropouts and guarantee at least 100 participating mother–infant dyads with all the assessment waves completed. The study has a longitudinal design with three assessment waves: (1) 1–3 days postpartum, (2) 8 weeks postpartum, and (3) 22 weeks postpartum. Between 1 and 3 days postpartum, mothers will report on-site on their sociodemographic and obstetric characteristics. At 8 weeks postpartum, mothers will complete online self-reported measures of birth trauma, previous trauma, childbirth-related PTSD, anxiety, and depressive symptoms. At 22 weeks postpartum, mothers will complete online self-reported measures of childbirth-related PTSD, anxiety, and depressive symptoms. Mothers and infants will then be home-visited to observe and record their neurophysiological,
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Sleep characteristics of middle-aged adults with non-alcoholic fatty liver disease: findings from the Shahrekord PERSIAN cohort study - BMC Public HealthBackground Several studies have reported short sleep duration in people with non-alcoholic fatty liver disease (NAFLD) but other sleep characteristics have been less studied. We aimed to assess the cross-sectional association of NAFLD with sleep duration and quality in an Iranian population sample. Methods We used data from 9,151 participants in the Shahrekord Prospective Epidemiological Research Studies in Iran (PERSIAN) Cohort Study, including 1,320 that were diagnosed with NAFLD. Log-binomial regression models sequentially adjusted for sociodemographic, lifestyle, clinical and biological variables were used to estimate relative risks (RR) and 95% confidence intervals (95% CI) for the association between NAFLD and sleep characteristics. Results Participants with NAFLD had shorter sleep duration, later wake-up time and bedtime, worse sleep efficiency, and more frequent daytime napping and use of sleeping pills, in age- and sex-adjusted models. After controlling for sociodemographic, lifestyle, clinical, and biological variables the associations remained strong for sleep efficiency (per 10%, RR = 0.92, 95%CI: 0.88–0.96) and use of sleeping pills (RR = 1.48, 95%CI: 1.17–1.88). The association between NAFLD and sleep efficiency was stronger in participants aged | 60 years (RR = 0.81, 0.70–0.93) and 40–60 years (RR = 0.87, 0.82–0.94), compared with those aged | 40 years (P-heterogeneity | 0.001). More frequent daytime napping in participants with NAFLD, compared with non-NAFLD, was observed in males but not females (P-heterogeneity = 0.007), and in those with body mass index (BMI) | 30 but not in obese participants (P-heterogeneity | 0.001). Conclusions Diagnosis of NAFLD is associated with several poor sleep characteristics in middle-aged Iranians. Although longitudinal studies would help to clarify the direction of causality, our study shows that poor sleep is an important aspect of NAFLD.
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Periodontal Inflamed Surface Area (PISA) associates with composites of salivary cytokinesBackground Periodontal disease (PerioD) is a chronic, complex inflammatory condition resulting from the interaction between subgingival dysbiotic bacteria and the host immune response leading to local inflammation. Since periodontal inflammation is characterized by multiple cytokines effects we investigated whether Periodontal Inflamed Surface Area (PISA), a continuous measure of clinical periodontal inflammation is a predictor of composite indexes of salivary cytokines. Methods and findings In a cross-sectional study of 67 healthy, well-educated individuals, we evaluated PISA and several cytokines expressed in whole stimulated saliva. Two salivary cytokine indexes were constructed using weighted and unweighted approaches based on a Principal Component Analysis [named Cytokine Component Index (CCI)] or averaging the (standardized) level of all cytokines [named Composite Inflammatory Index (CII)]. In regression analysis we found that PISA scores were significantly associated with both salivary cytokine constructs, (CCI: part R=0.51, p|0.001; CII: part R=0.40, p=0.001) independent of age, gender and BMI showing that single scores summarizing salivary cytokines correlated with severity of clinical periodontal inflammation. Conclusions Clinical periodontal inflammation may be reflected by a single score encompassing several salivary cytokines. These results are consistent with the complexity of interactions characterizing periodontal disease. In addition, Type I error is likely to be avoided.
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