Home Research Feeds Characterization of the Gut Microbial Community of Obese Patients Following a Weight-Loss Intervention Using Whole Metagenome Shotgun Sequencing

Characterization of the Gut Microbial Community of Obese Patients Following a Weight-Loss Intervention Using Whole Metagenome Shotgun SequencingOriginal paper

Researched by:

  • Karen Pendergrass

Last Updated: 2026-07-04

Karen Pendergrass
Karen Pendergrass

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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Location
Germany
Sample Site
Feces
Species
Homo sapiens

What was studied?

Sixteen obese adults completed a 52-week weight-loss program of low-calorie diet, exercise and behavioral therapy. Researchers tracked gut microbiota and metabolic parameters over two years to see whether microbiota changes predicted lasting weight loss.

How was it studied?

Stool samples were analyzed with whole metagenome shotgun sequencing at multiple timepoints, allowing both taxonomic and functional profiling of the gut microbial community across the intervention and one year of follow-up.

What did they find?

Most microbiota changes reversed toward baseline by month 24, except Akkermansia, which rose from about 12.7 ×10³ counts at baseline to 141 ×10³ counts by month 24 (p = 0.005). Patients with metabolic syndrome had a higher Firmicutes/Bacteroidetes ratio (0.64) than healthy obese patients (0.27, p = 0.04). Patients who sustained weight loss showed baseline enrichment in Alistipes, Pseudoflavonifractor and oxidative phosphorylation enzymes.

Why it matters

A durable rise in Akkermansia accompanied successful weight maintenance, and baseline microbiota composition distinguished future successful from unsuccessful weight losers, suggesting predictive potential before intervention begins.

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