Visceral adipose microbial and inflammatory signatures in metabolically healthy and unhealthy nonhuman primates

Obesity is a key risk factor for metabolic syndrome (MetS); however, >10% of lean individuals meet MetS criteria. Visceral adipose tissue (VAT) disproportionately contributes to inflammation and insulin resistance compared with subcutaneous fat depots. The primary aim of this study was to profile...

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Published inObesity (Silver Spring, Md.) Vol. 31; no. 10; pp. 2543 - 2556
Main Authors Ruggiero, Alistaire D, Vemuri, Ravichandra, DeStephanis, Darla, Brock, Ashlynn, Block, Masha R, Chou, Jeff, Das, Swapan K, Williams, Abigail G, Kavanagh, Kylie
Format Journal Article
LanguageEnglish
Published United States Blackwell Publishing Ltd 01.10.2023
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Summary:Obesity is a key risk factor for metabolic syndrome (MetS); however, >10% of lean individuals meet MetS criteria. Visceral adipose tissue (VAT) disproportionately contributes to inflammation and insulin resistance compared with subcutaneous fat depots. The primary aim of this study was to profile tissue microbiome components in VAT over a wide range of metabolic statuses in a highly clinically relevant model. VAT was profiled from nonhuman primates that naturally demonstrate four distinct health phenotypes despite consuming a healthy diet, namely metabolically healthy lean and obese and metabolically unhealthy lean and obese. VAT biopsied from unhealthy lean and obese nonhuman primates demonstrated upregulation of immune signaling pathways, a tissue microbiome enriched in gram-negative bacteria including Pseudomonas, and deficiencies in anti-inflammatory adipose tissue M2 macrophages. VAT microbiomes were distinct from fecal microbiomes, and fecal microbiomes did not differ by metabolic health group, which was in contrast to the VAT bacterial communities. Immune activation with gram-negative VAT microbial communities is a consistent feature in elevated MetS risk in both lean and obesity states.
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Author Contributions: Authors involved in data generation and data analysis: ADR, RV, JC, AB, AW, DD, SD, KK. Authors involved in sample collection and trial conductance: ADR, RV, MB, KK. Authors involved in manuscript writing and editing: ADR, RV, KK.
ISSN:1930-7381
1930-739X
DOI:10.1002/oby.23870