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Biology subjects

Pressman, S.

Publications and source records attributed to Pressman, S..

2 recordsLinked to original sources

Inflammation and bacteriophages affect DNA inversion states and functionality of the gut microbiota

Reversible genomic DNA-inversions control expression of numerous bacterial molecules in the human gut, but how this relates to disease remains uncertain. By analyzing metagenomic samples from six human Inflammatory Bowel Disease cohorts combined with mice experimentation, we identified multiple invertible regions where a particular orientation was correlated with disease. These include the promoter of the anti-inflammatory polysaccharide-A (PSA) of Bacteroides fragilis, which is mostly oriented OFF during inflammation but is present in the ON orientation when inflammation is resolved. We further detected increased abundances of B. fragilis-associated bacteriophages in patients with the PSA OFF orientation, and a significant reduction in the frequency of the ON orientation, in the presence of the B. fragilis-associated bacteriophage, thereby altering the bacterial induced immune modulation. Altogether, we reveal dynamic and reversible bacterial phase-variations driven both by bacteriophages and the host inflammatory state, signifying bacterial functional plasticity during inflammation and opening future research avenues.

microbiology↗

A personalized network framework reveals predictive axis of anti-TNF response across diseases

Personalized treatment of complex diseases has been mostly predicated on biomarker identification of one drug-disease combination at a time. Here, we used a novel computational approach termed Disruption Networks to generate a new data type, contextualized by cell-centered individual-level networks, that captures biology otherwise overlooked when performing standard statistics. The new data-type extends beyond the feature level space, to the relations space, by quantifying individual-level breaking or rewiring of cross-feature relations. Applying disruption network to dissect high-dimensional blood data, we discover and validate that the RAC1-PAK1 axis is predictive of anti-TNF response in inflammatory bowel disease. Intermediate monocytes, which correlate with the inflammatory state, play a key role in the RAC1-PAK1 responses, supporting their modulation as a therapeutic target. This axis also predicts response in rheumatoid arthritis, validated in three public cohorts. Our findings support blood-based drug response diagnostics across immune-mediated diseases, implicating common mechanisms of non-response.

systems biology↗