Gut Microbiome Signatures in Multiple Sclerosis: A Case-Control Study with Machine Learning and Global Data IntegrationOriginal paper
Karen Pendergrass is a microbiome researcher specializing in microbiome-targeted interventions (MBTIs). She systematically analyzes scientific literature to identify microbial patterns, develop hypotheses, and validate interventions. As the founder of the Microbiome Signatures Database, she bridges microbiome research with clinical practice. In 2012, based on her own investigative research, she became the first documented case of FMT for Celiac Disease, four years before the first published case study.
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Faecal microbiota from 29 relapsing-remitting MS patients in exacerbation and 27 controls were sequenced and integrated with 29 published datasets using machine learning. MS patients showed reduced Eubacteriales, Lachnospirales, Oscillospiraceae, Lachnospiraceae, Parasutterella and Faecalibacterium and higher Lachnospiraceae UCG-008. A gradient-boosting classifier distinguished MS microbiomes with an AUC-ROC of 0.95.