Data_Sheet_1_Comparative efficacy of three Bayesian variable selection methods in the context of weight loss in obese women.docx

The use of high-dimensional data has expanded in many fields, including in clinical research, thus making variable selection methods increasingly important compared to traditional statistical approaches. The work aims to compare the performance of three supervised Bayesian variable selection methods to detect the most important predictors among a high-dimensional set of variables and to provide useful and practical guidelines of their use. We assessed the variable selection ability of: (1) Bayesian Kernel Machine Regression (BKMR), (2) Bayesian Semiparametric Regression (BSR), and (3) Bayesian Least Absolute Shrinkage and Selection Operator (BLASSO) regression on simulated data of different dimensions and under three scenarios with disparate predictor-response relationships and correlations among predictors. This is the first study describing when one model should be preferred over the others and when methods achieve comparable results. BKMR outperformed all other models with small synthetic datasets. BSR was strongly dependent on the choice of its own intrinsic parameter, but its performance was comparable to BKMR with large datasets. BLASSO should be preferred only when it is reasonable to hypothesise the absence of synergies between predictors and the presence of monotonous predictor-outcome relationships. Finally, we applied the models to a real case study and assessed the relationships among anthropometric, biochemical, metabolic, cardiovascular, and inflammatory variables with weight loss in 755 hospitalised obese women from the Follow Up OBese patients at AUXOlogico institute (FUOBAUXO) cohort.</p

COVID-19 subphenotypes at hospital admission are associated with mortality: a cross-sectional study

We have an incomplete understanding of COVID-19 characteristics at hospital presentation and whether underlying subphenotypes are associated with clinical outcomes and therapeutic responses. For this cross-sectional study, we extracted electronic health data from adults hospitalized between 1 March and 30 August 2020 with a PCR-confirmed diagnosis of COVID-19 at five New York City Hospitals. We obtained clinical and laboratory data from the first 24 h of the patient’s hospitalization. Treatment with tocilizumab and convalescent plasma was assessed over hospitalization. The primary outcome was mortality; secondary outcomes included intubation, intensive care unit (ICU) admission and length of stay (LOS). First, we employed latent class analysis (LCA) to identify COVID-19 subphenotypes on admission without consideration of outcomes and assigned each patient to a subphenotype. We then performed robust Poisson regression to examine associations between COVID-19 subphenotype assignment and outcome. We explored whether the COVID-19 subphenotypes had a differential response to tocilizumab and convalescent plasma therapies. A total of 4620 patients were included. LCA identified six subphenotypes, which were distinct by level of inflammation, clinical and laboratory derangements and ranged from a hypoinflammatory subphenotype with the fewest derangements to a hyperinflammatory with multiorgan dysfunction subphenotypes. Multivariable regression analyses found differences in risk for mortality, intubation, ICU admission and LOS, as compared to the hypoinflammatory subphenotype. For example, in multivariable analyses the moderate inflammation with fever subphenotype had 3.29 times the risk of mortality (95% CI 2.05, 5.28), while the hyperinflammatory with multiorgan failure subphenotype had 17.87 times the risk of mortality (95% CI 11.56, 27.63), as compared to the hypoinflammatory subphenotype. Exploratory analyses suggested that subphenotypes may differential respond to convalescent plasma or tocilizumab therapy. COVID-19 subphenotype at hospital admission may predict risk for mortality, ICU admission and intubation and differential response to treatment.KEY MESSAGEThis cross-sectional study of COVID patients admitted to the Mount Sinai Health System, identified six distinct COVID subphenotypes on admission. Subphenotypes correlated with ICU admission, intubation, mortality and differential response to treatment. This cross-sectional study of COVID patients admitted to the Mount Sinai Health System, identified six distinct COVID subphenotypes on admission. Subphenotypes correlated with ICU admission, intubation, mortality and differential response to treatment.</p

<strong>Supplementary Material Salivary metabolomic signatures and body mass index (BMI) in young Italian adolescents: a pilot study</strong>

The files attached are the supplementary material to manuscript: Salivary metabolomic signatures and body mass index (BMI) in young Italian adolescents: a pilot study </p

Clinical symptoms of patients who self-selected for laboratory testing and had IgM antibodies against Chikungunya virus in serum in Char Kushai, Dohar, Bangladesh, 2011 (N = 196).

<p>Clinical symptoms of patients who self-selected for laboratory testing and had IgM antibodies against Chikungunya virus in serum in Char Kushai, Dohar, Bangladesh, 2011 (N = 196).</p

Impacts of the Mitochondrial Genome on the Relationship of Long-Term Ambient Fine Particle Exposure with Blood DNA Methylation Age

The mitochondrial genome has long been implicated in age-related disease, but no studies have examined its role in the relationship of long-term fine particle (PM_2.5) exposure and DNA methylation age (DNAm-age)a novel measure of biological age. In this analysis based on 940 observations between 2000 and 2011 from 552 Normative Aging Study participants, we determined the roles of mitochondrial DNA haplogroup variation and mitochondrial genome abundance in the relationship of PM_2.5 with DNAm-age. We used the GEOS-chem transport model to estimate address-specific, one-year PM_2.5 levels for each participant. DNAm-age and mitochondrial DNA markers were measured from participant blood samples. Nine haplogroups (H, I, J, K, T, U, V, W, and X) were present in the population. In fully adjusted linear mixed-effects models, the association of PM_2.5 with DNAm-age (in years) was significantly diminished in carriers of haplogroup V (<i>P</i>_interaction = 0.01; β = 0.18, 95%CI: −0.41, 0.78) compared to noncarriers (β = 1.25, 95%CI: 0.58, 1.93). Mediation analysis estimated that decreases in mitochondrial DNA copy number, a measure of mitochondrial genome abundance, mediated 12% of the association of PM_2.5 with DNAm-age. Our data suggests that the mitochondrial genome plays a role in DNAm-age relationships particularly in the context of long-term PM_2.5 exposure

Intervention dans le Podcast les Arts du FLE pour faire le point sur la perspective actionnelle en classe de langues

Ce podcast est disponible en ligne, à l'adresse suivante :https://agi.to/podcast/arts-du-fle-08-actionne-ton-approche/Ce numéro 8 des Arts du FLE (émission spécialisée en FLE) propose un dossier spécial approches pédagogiques et perspective actionnelle. J'en suis l'invitée et j'y réponds de manière détaillée pendant près d'une heure aux questions de l'animateur et créateur de ce Podcast, Sébastien Durietz (en poste actuellement à l'ONU, à New-York)

Additional file 10: Table S9. of DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases

Significant associations between DNA methylation and corresponding nearby genetic variants and between the genetic variant and CRP in the largest published GWAS of CRP (n = 66,185). (XLSX 12 kb

Additional file 6: Figures S1–S4. of DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases

(PDF 1036 kb

Additional file 9: Table S8. of DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases

Significant methylation-expression results and corresponding expression-CRP results for the replicated CpGs. (XLSX 11 kb