US 12,437,877 B2
Weight loss potential prediction from gut microbiome data
Christian Diener, Seattle, WA (US); and Sean M. Gibbons, Seatle, WA (US)
Assigned to Institute of Systems Biology, Seattle, WA (US)
Filed by Institute for Systems Biology, Seattle, WA (US)
Filed on Jan. 3, 2023, as Appl. No. 18/149,498.
Claims priority of provisional application 63/296,423, filed on Jan. 4, 2022.
Prior Publication US 2023/0215581 A1, Jul. 6, 2023
Int. Cl. G16H 50/30 (2018.01); G16H 20/60 (2018.01)
CPC G16H 50/30 (2018.01) [G16H 20/60 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
accessing gut microbiome metagenomic sequence data corresponding to a plurality of microbial taxa present in the gut of a subject;
determining a measurement of one or more weight loss features in the gut microbiome metagenomic sequence data corresponding to the plurality of microbial taxa, wherein:
the one or more weight loss features define a gut microbiome signature for weight loss response for the subject independent of a body mass index of the subject, and
the one or more weight loss features comprise replication rates of the plurality of microbial taxa;
determining a weight loss potential for the subject based on a comparison of the measurement of the subject to a plurality of reference measurements of the one or more weight loss features for a reference population showing variable weight loss responses;
determining that the weight loss potential for the subject is above a predetermined weight-loss potential threshold; and
administering, based on the determination, a treatment for the subject, wherein the treatment includes a probiotic supplement, or a prebiotic fiber supplement.