Transcript data from subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT)
Unbiased clustering approach and creation of continuous metabolic syndrome (MetS) scores
Identification of predominant signaling pathways in metabolically unhealthy adaptationssurrogate
Transcriptomic analysis reveals that T-cell signaling and exhaustion are key features of metabolically unhealthy adaptations in both visceral and subcutaneous adipose tissue.
T-cell signaling and exhaustion predominate in metabolically unhealthy adaptations of both SAT and VAT. This novel handling of transcript data using an unbiased clustering approach and the creation of continuous MetS scores lead to new insights regarding adipose depot responses and T-cell biology.
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Puppala et al. (Wed,) studied this question.
www.synapsesocial.com/papers/69a75d07c6e9836116a266ef — DOI: https://doi.org/10.1002/oby.70133
Sobha Puppala
Alyssa R. Hamann
Christina M. Stevens
Obesity
Wake Forest University
University of Tasmania
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