Epigenetic Biomarkers for Environmental Exposures and Personalized Breast Cancer Prevention.

Environmental and lifestyle factors are believed to account for >80% of breast cancers; however, it is not well understood how and when these factors affect risk and which exposed individuals will actually develop the disease. While alcohol consumption, obesity, and hormone therapy are some known risk factors for breast cancer, other exposures associated with breast cancer risk have not yet been identified or well characterized. In this paper, it is proposed that the identification of blood epigenetic markers for personal, in utero, and ancestral environmental exposures can help researchers better understand known and potential relationships between exposures and breast cancer risk and may enable personalized prevention strategies

Dietary bioactive lipid compounds rich in menthol alter Interactions among members of ruminal microbiota in sheep

This study aimed to investigate the effects of two practically relevant doses of menthol-rich plant bioactive lipid compounds (PBLC) on fermentation, microbial community composition, and their interactions in sheep rumen. Twenty-four growing Suffolk sheep were divided into three treatments and were fed hay ad libitum plus 600 g/d of concentrate containing no PBLC (Control) or PBLC at low dose (80 mg/d; PBLC-L) or high dose (160 mg/d; PBLC-H). After 4 weeks on the diets, samples of ruminal digesta were collected and analyzed for short-chain fatty acid (SCFA), ammonia, and microbiota; microbiota being analyzed in the solid and the liquid digesta fractions separately. Ruminal SCFA and ammonia concentrations were not affected by the PBLC treatments. The microbiota in the solid fraction was more diverse than that in the liquid fraction, and the relative abundance of most taxa differed between these two fractions. In the solid fraction, phylogenetic diversity increased linearly with increased PBLC doses, whereas evenness (lowest in PBLC-L) and Simpson diversity index (greatest in PBLC-H) changed quadratically. In the liquid fraction, however, the PBLC supplementation did not affect any of the microbial diversity measurements. Among phyla, Chloroflexi (highest in PBLC-L) and unclassified_bacteria (lowest in PBLC-L) were altered quadratically by PBLC. Lachnospiraceae, Bacteroidaceae (increased linearly), BS11 (increased in PBLC-L), Christensenellaceae (decreased in PBLC treatments), and Porphyromonadaceae (increased in PBLC treatments) were affected at the family level. Among genera, Butyrivibrio increased linearly in the solid fraction, YRC22 increased linearly in the liquid fraction, whereas Paludibacter increased and BF311 increased linearly with increasing doses of PBLC in both fractions. The PBLC treatments also lowered methanogens within the classes Thermoplasmata and Euryarchaeota. Correlation network analysis revealed positive and negative correlations among many microbial taxa. Differential network analysis showed that PBLC supplementation changed the correlation between some microbial taxa and SCFA. The majority of the predicted functional features were different between the solid and the liquid digesta fractions, whereas the PBLC treatments altered few of the predicted functional gene categories. Overall, dietary PBLC treatments had little influence on the ruminal fermentation and microbiota but affected the associations among some microbial taxa and SCFA

Predicting Pain to Support Exercise Participation after Spinal Cord Injury

The expansion of mobile health and predictive modeling may be worthwhile tools to predict subjective pain experiences and tailor personalized approaches for health behaviors after spinal cord injury (SCI). PURPOSE: This study examined whether exercise (hybrid functional electrical stimulation rowing) and smartphone-based health and mobility data could reliably forecast changes in pain intensity among people with SCI. METHODS: Data were collected via Suunto memory belt (heart rate), rower C2 log cards (training duration/frequency) and personal smartphones (location details, self-reported mood, pain, health, mobility) among (N=12) community-living adults with SCI over 9 months. Data were combined to predict the pain in the subsequent week. We applied nonlinear random forest algorithms, first transforming absolute scores week-to-week: \u270\u27=no change or lessened pain, & \u271\u27=worsened pain. Due to potential data imbalances, we applied k-fold cross-validation for model robustness. We referenced the F1 score (\u3e0.80) to assess model predictive accuracy. RESULTS: Our analysis underscored that while exercise data alone was insufficient for accurate predictions about the forthcoming week’s pain (F1=0.40), combining it with, prior self-reported outcomes considerably enhanced predictive accuracy. We achieved notable success in forecasting pain intensity a week ahead for multiple feature groups. For example, when predicting next week’s pain, we obtained an F1 score of 0.83 using the combination of (current) pain interference, and the difference in the hours out of bed this week and rowing frequency compared to the previous week. Similarly, the triad of TRIMPS, and the difference in pain interference and anxiety this week compared to last week also yielded an F1 score of 0.83, further emphasizing the value of integrating diverse data sources. Partial Dependence Plots revealed a positive nonlinear relationship. CONCLUSION: Through a combination of various exercise, health, mood, and mobility metrics collected in-situ, we were able to predict future pain intensity among exercisers with SCI, as reflected by commendable F1-scores. This underscores the intricacies of pain experiences, and the utility of non-linear predictive models to understand and support exercise participation for those with SCI

A Performance Effectiveness Model for the Assessment of Anxiety\u27s Effect on Muscle Activation in Trumpet Players

The purpose of this research study is to analyze the relationship between anxiety and muscle activation in undergraduate trumpet players. sEMG will be used to measure three muscle groups: the upper trapezius, sternoclidomatoid, and masseter. This data will be analyzed along with State Trait Anxiety Inventory anxiety reports of each subject, and with VAS data of perceived anxiety after performing the repeated playing trials. Through covariate data obtained from the anxiety reports and an anxiety-induction experimental protocol, we hope to discover what effect anxiety will have on general muscle activation and fatigue in trumpet players. We hypothesize that subjects with higher anxiety levels will display greater levels of muscle activation and fatigue over the course of playing the trumpet as compared to subjects with lower anxiety levels. Preliminary data analysis has shown that there is no significant difference in VAS scales between the anxiety-induced group and the control group; the rest of the data analysis is still in progress.https://scholarscompass.vcu.edu/uresposters/1085/thumbnail.jp

Greenspace interventions for mental health in clinical and non-clinical populations: What works, for whom, and in what circumstances?

With growing strain on mental health services, greenspace interventions could be a promising addition to current health and social care provisions as they have the potential to be widely accessible for people within their own communities and used alongside a variety of treatment plans. Despite promising progress in greenspace research, the underlying mechanisms and processes of greenspace interventions are still unclear. Without knowing these it is impossible to understand why programmes work and how best to replicate them. To address this gap this review uses realist methodology to synthesise the international evidence for greenspace interventions for mental health in both clinical and non-clinical populations. Forty-nine full text articles are included in the review and the underlying contexts, mechanisms, and outcomes of the interventions identified and refined into an original overriding theory under three themes of Nature, Individual Self, and Social Self. The interaction of these three factors represents a new conceptual framework for greenspace interventions for mental health and shows what works, for whom, and in what circumstances. The findings of this review are not only theoretically novel but they also have practical relevance for those designing such interventions including the provision of recommendations on how to optimise, tailor and implement existing interventions

Facilitators and barriers to teaching undergraduate medical students in general practice

CONTEXT Globally, primary health care is facing workforce shortages. Longer and higher-quality placements in primary care increase the likelihood of medical students choosing this specialty. However, the recruitment and retention of community primary care teachers are challenging. Relevant research was predominantly carried out in the 1990s. We seek to understand contemporary facilitators and barriers to general practitioner (GP) engagement with undergraduate education. Communities of practice (CoP) theory offers a novel conceptualisation, which may be pertinent in other community-based teaching settings. METHODS Semi-structured interviews were undertaken with 24 GP teachers at four UK medical schools. We purposively sampled GPs new to teaching, established GP teachers and GPs who had recently stopped teaching. We undertook NVivo-assisted deductive and inductive thematic analysis of transcripts. We used CoP theory to interpret data. RESULTS Communities of practice theory illustrated that teachers negotiate membership of three CoPs: (i) clinical practice; (ii) the medical school, and (iii) teaching. The delivery of clinical care and teaching may be integrated or exist in tension. This can depend upon the positioning of the teaching and teacher as central or peripheral to the clinical CoP. Remuneration, workload, space and the expansion of GP trainee numbers impact on this. Teachers did not identify strongly as members of the medical school or a teaching community. Perceptions of membership were affected by medical school communication and support. The findings demonstrate gaps in medical school recruitment. CONCLUSIONS This research demonstrates the marginalisation of primary care-based teaching and proposes a novel explanation rooted in CoP theory. Concepts including identity and membership may be pertinent to other community-based teaching settings. We recommend that medical schools review and broaden recruitment methods. Teacher retention may be improved by optimising the interface between medical schools and teachers, fostering a teaching community, increasing professional rewards for teaching involvement and altering medical school expectations of learning in primary care