A Review published in the Nutritional Journal summarizes the growing research on the prominent role of the oral microbiome in obesity and associated metabolic diseases. This may help development of new patient oriented therapeutic approaches.
]. Similarly, it was hypothesized that these results mirror a two-fold compensatory mechanism following a lack of optimal metabolization of nutrients from consumed foods in the absence of gut microbiota: First, lingual cluster of differentiation 36 expression is increased which, in contrast to other observations, in this study associated with greater fat consumption.
]. Similar innate host defense responses are triggered by the same bitter taste receptor located in gingival epithelial cells by different oral bacteria.mRNA induction in primary GECs in response to various cariogenic bacteria was genotype dependent and highest in PAV/PAV , while lowest in AVI/AVI .
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Can machine learning predict BMI in early childhood using data from the first 1000 days of life?Can machine learning predict BMI in early childhood using data from their first 1000 days of life? SciReports IUMedSchool AI artificialintelligence machinelearning ML bodymassindex BMI childhoodobesity childhealth
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Pilot study reveals effective approach to boost adherence to Mediterranean ketogenic diet for memory concerns in older adultsPilot study reveals effective approach to boost adherence to Mediterranean ketogenic diet for memory concerns in older adults Nutrients_MDPI FloridaState mediterranean ketogenic diet memory olderadults
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Predicting response and toxicity to immune checkpoint inhibitors in lung cancer using antibodies to frameshift neoantigens - Journal of Translational MedicinePurpose To evaluate a new class of blood-based biomarkers, anti-frameshift peptide antibodies, for predicting both tumor responses and adverse immune events to immune checkpoint inhibitor (ICI) therapies in advanced lung cancer patients. Experimental design Serum samples were obtained from 74 lung cancer patients prior to palliative PD-(L)1 therapies with subsequently recorded tumor responses and immune adverse events (irAEs). Pretreatment samples were assayed on microarrays of frameshift peptides (FSPs), representing ~ 375,000 variant peptides that tumor cells can be informatically predicted to produce from translated mRNA processing errors. Serum-antibodies specifically recognizing these ligands were measured. Binding activities preferentially associated with best-response and adverse-event outcomes were determined. These antibody bound FSPs were used in iterative resampling analyses to develop predictive models of tumor response and immune toxicity. Results Lung cancer serum samples were classified based on predictive models of ICI treatment outcomes. Disease progression was predicted pretreatment with ~ 98% accuracy in the full cohort of all response categories, though ~ 30% of the samples were indeterminate. This model was built with a heterogeneous sample cohort from patients that (i) would show either clear response or stable outcomes, (ii) would be administered either single or combination therapies and (iii) were diagnosed with different lung cancer subtypes. Removing the stable disease, combination therapy or SCLC groups from model building increased the proportion of samples classified while performance remained high. Informatic analyses showed that several of the FSPs in the all-response model mapped to translations of variant mRNAs from the same genes. In the predictive model for treatment toxicities, binding to irAE-associated FSPs provided 90% accuracy pretreatment, with no indeterminates. Several of the classifying FSPs displayed sequence similarity
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Fat talk, old talk, or both? Association of negative body talk with mental health, body dissatisfaction, and quality of life in men and women - Journal of Eating DisordersBackground Little research has investigated the harmful effects of old talk—negative age-related body talk—on mental health and quality of life despite substantial research examining fat talk. Old talk also has only been evaluated in women and in relation to few outcomes. Of note, old talk and fat talk are strongly correlated, suggesting possible overlap in elements that drive negative outcomes. Thus, the primary aim of this study was to investigate the extent that old talk and fat talk contribute to negative mental health and quality of life outcomes when examined in the same model and when interacting with age. Methods Adults (N = 773) ages 18–91 completed an online survey assessing eating disorder pathology, body dissatisfaction, depression, aging anxiety, general anxiety, quality of life, and demographics. Results While fat talk and old talk were correlated with almost all outcome variables, fat talk was more commonly significantly associated with poorer outcomes than old talk. Additionally, the relationship between fat talk and old talk with poorer mental health was affected by age in men, but not women. Conclusions Future research is warranted to decipher the individual effects of old talk and fat talk on mental health and quality of life across the adult lifespan.
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