The analysis of the microbial structure based on linear discriminant analysis (A) and Random Forest (B), abundance analysis using EdgeR (C) according to the type of inflammatory disease and body weight in METAINFLAMMATION cohort.

<p>The most differentially abundant taxa between patients with low-grade MI and SLE according to BMI are represented in a bar graph LDA score, an estimation of the effect size. Only taxa meeting a <i>P</i> < 0.05 and LDA score significant threshold | > 2| are shown. Red, bact...

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Бібліографічні деталі
Автор:	Lourdes Chero-Sandoval (22683418) (author)
Інші автори:	Andrea Higuera-Gómez (22683421) (author), Begoña de Cuevillas (22683424) (author), Raquel Castejón (13980860) (author), María Martínez-Urbistondo (22683427) (author), Susana Mellor-Pita (22683430) (author), Víctor Moreno-Torres (9634628) (author), Daniel de Luis (22683433) (author), Amanda Cuevas-Sierra (9278315) (author), J. Alfredo Martínez (6989336) (author)
Опубліковано:	2025
Предмети:	Biochemistry Ecology Sociology Immunology Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified improving clinical management div >< p alongside significant changes 127 adults diagnosed personalized approaches based body mass index systemic lupus erythematosus inflammatory markers within higher anthropometric values lupus inflammatory features gut microbiota composition alistipes shahii </ elevated crp levels grade metabolic inflammation inflammatory markers gut microbiota body composition personalized interventions inflammatory variables grade mi analyze anthropometric alistipes </ higher crp triglyceride levels lupus individuals fibrinogen levels crp levels study aimed still unclear several investigations results showed precise interaction phenotypically analyzed mi ), metainflamation cohort glycosylated hemoglobin findings showed fecal samples elevated il documented relationships categorized according 16s sequencing
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The analysis of the microbial structure based on linear discriminant analysis (A) and Random Forest (B), abundance analysis using EdgeR (C) according to the type of inflammatory disease and body weight in METAINFLAMMATION cohort.

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