A study published in BMCMedicine finds that gut microbiome in obese women with uncontrolled eating behavior has a low-diversity ecosystem with more opportunistic pathogens. These findings could pave way for microbiome-tailored intervention strategies.
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], which were found to be overrepresented and transcriptionally active in the C4 cluster. This may suggest that such activity is not possessed by all bifidobacterial species/strains or that it is silenced in the context of certain microbial assemblages and host pathophysiological factors.
In summary, through an exploratory multi-omics approach, merging data regarding GM layouts, ecological networks, transcriptional activity and lipidomic profiles with dietary intake information, and clinical and psychometric results, we showed that GM can assume a series of configurations, featured by different biodiversity, microbial actors, and functionalities, which may reflect as many aspects of the host's physiology, variously correlating with host factors, including eating habits and...
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Acutely enhancing affective state and social connection following an online dance intervention during the COVID-19 social isolation crisis - BMC PsychologyThe COVID-19 pandemic has forced many throughout the world to isolate themselves from their respective communities to stop the spread of disease. Although this form of distancing can prevent the contraction of a virus, it results in social isolation and physical inactivity. Consequently, our communities have become heavily reliant on digital solutions to foster social connection and increase physical activity when forced to isolate. Dance is a multidimensional form of physical activity that includes sensory, motor, cognitive, rhythmic, creative, and social elements. Long-term, interventional studies in dance have shown positive effects on both mental and social health; however, little has been done to examine the acute effects and no studies to date have explored the relationship between the affective state and social outcomes of dance. We examined the hypothesis that online dance is associated with improvements in affective state and social connection during a time of social isolation, namely, the COVID-19 crisis. Healthy adults (age ≥ 18; n = 47) engaged in a single session of 60 min of self-selected online dance, completing a series of validated self-reported questionnaires before and after class. We found that online dance was associated with improvements in affective state as measured by increased positive affect and self-esteem and decreased negative affect and depressive symptoms. Additionally, online dance was associated with improvements in social and community connectedness. Further, we found that those who experienced the largest increases in self-esteem and decreases in negative affect demonstrated the largest gains in social connectivity. Although in-person dance classes may be optimal for formalized dance training, online dance instruction offers an accessible platform that can provide mental and social health benefits during the COVID-19 social isolation crisis. We conclude that through online dance, individuals can experience a connection between the
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GENTLE: a novel bioinformatics tool for generating features and building classifiers from T cell repertoire cancer data - BMC BioinformaticsBackground In the global effort to discover biomarkers for cancer prognosis, prediction tools have become essential resources. TCR (T cell receptor) repertoires contain important features that differentiate healthy controls from cancer patients or differentiate outcomes for patients being treated with different drugs. Considering, tools that can easily and quickly generate and identify important features out of TCR repertoire data and build accurate classifiers to predict future outcomes are essential. Results This paper introduces GENTLE (GENerator of T cell receptor repertoire features for machine LEarning): an open-source, user-friendly web-application tool that allows TCR repertoire researchers to discover important features; to create classifier models and evaluate them with metrics; and to quickly generate visualizations for data interpretations. We performed a case study with repertoires of TRegs (regulatory T cells) and TConvs (conventional T cells) from healthy controls versus patients with breast cancer. We showed that diversity features were able to distinguish between the groups. Moreover, the classifiers built with these features could correctly classify samples (‘Healthy’ or ‘Breast Cancer’)from the TRegs repertoire when trained with the TConvs repertoire, and from the TConvs repertoire when trained with the TRegs repertoire. Conclusion The paper walks through installing and using GENTLE and presents a case study and results to demonstrate the application’s utility. GENTLE is geared towards any researcher working with TCR repertoire data and aims to discover predictive features from these data and build accurate classifiers. GENTLE is available on https://github.com/dhiego22/gentle and https://share.streamlit.io/dhiego22/gentle/main/gentle.py .
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Travel agent who faked cancer and scammed 1,400 customers in multi-million-pound Ponzi scheme is jailedA 'callous' travel agent who faked cancer as part of a Ponzi scheme to con 1,400 holidaymakers out of millions of pounds has been jailed for nine years
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Cancer-faking travel agent jailed for conning clients out of £2,600,000BREAKING: A travel agent who claimed she had cancer while defrauding friends, family and hundreds of customers, who bought holidays from her in a £2.6 million con, has been jailed for nine years.
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