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Macrophage Phenotypes and Gene Expression Patterns Are Unique in Naturally Occurring Metabolically Healthy Obesity.
Ruggiero, Alistaire D; Vemuri, Ravichandra; Block, Masha; DeStephanis, Darla; Davis, Matthew; Chou, Jeff; Williams, Abigail; Brock, Ashlynn; Das, Swapan Kumar; Kavanagh, Kylie.
Afiliación
  • Ruggiero AD; Department of Pathology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
  • Vemuri R; Department of Pathology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
  • Block M; Department of Pathology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
  • DeStephanis D; Department of Pathology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
  • Davis M; Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
  • Chou J; Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
  • Williams A; Department of Pathology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
  • Brock A; Department of Pathology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
  • Das SK; Department of Endocrinology and Metabolism, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
  • Kavanagh K; Department of Pathology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Int J Mol Sci ; 23(20)2022 10 21.
Article en En | MEDLINE | ID: mdl-36293536
Obesity impacts 650 million individuals globally, often co-occurring with metabolic syndrome. Though many obese individuals experience metabolic abnormalities (metabolically unhealthy obese [MUO]), ~30% do not (metabolically healthy obese [MHO]). Conversely, >10% of lean individuals are metabolically unhealthy (MUL). To evaluate the physiologic drivers of these phenotypes, a 44-animal African green monkey cohort was selected using metabolic syndrome risk criteria to represent these four clinically defined health groups. Body composition imaging and subcutaneous adipose tissue (SQ AT) biopsies were collected. Differences in adipocyte size, macrophage subtype distribution, gene expression, vascularity and fibrosis were analyzed using digital immunohistopathology, unbiased RNA-seq, endothelial CD31, and Masson's trichrome staining, respectively. MHO AT demonstrated significant increases in M2 macrophages (p = 0.02) and upregulation of fatty acid oxidation-related terms and transcripts, including FABP7 (p = 0.01). MUO AT demonstrated downregulation of these factors and co-occurring upregulation of immune responses. These changes occurred without differences in AT distributions, adipocyte size, AT endothelial cells, collagen I deposition, or circulating cytokine levels. Without unhealthy diet consumption, healthy obesity is defined by an increased SQ AT M2/M1 macrophage ratio and lipid handling gene expression. We highlight M2 macrophages and fatty acid oxidation as targets for improving metabolic health with obesity.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Síndrome Metabólico / Obesidad Metabólica Benigna Tipo de estudio: Etiology_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Int J Mol Sci Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Síndrome Metabólico / Obesidad Metabólica Benigna Tipo de estudio: Etiology_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Int J Mol Sci Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza