Aims/hypothesis We aimed to elucidate the impact of fat cell size and inflammatory status of adipose tissue on the development of type 2 diabetes in non-obese individuals. Methods We characterised subcutaneous abdominal adipose tissue by examining stromal cell populations by 13 colour flow cytometry, measuring expression of adipogenesis genes in the progenitor cell fraction and determining lipolysis and adipose secretion of inflammatory proteins in 14 non-obese men with type 2 diabetes and 13 healthy controls matched for age, sex, body weight and total fat mass. Results Individuals with diabetes had larger fat cells than the healthy controls but stromal cell population frequencies, adipose lipolysis and secretion of inflammatory proteins did not differ between the two groups. However, in the entire cohort fat cell size correlated positively with the ratio of M1/M2 macrophages, TNF-α secretion, lipolysis and insulin resistance. Expression of genes encoding regulators of adipogenesis and adipose morphology (BMP4, CEBPα [also known as CEBPA], PPARγ [also known as PPARG] and EBF1) correlated negatively with fat cell size. Conclusions/interpretation We show that a major phenotype of white adipose tissue in non-obese individuals with type 2 diabetes is adipocyte hypertrophy, which may be mediated by an impaired adipogenic capacity in progenitor cells. Consequently, this could have an impact on adipose tissue inflammation, release of fatty acids, ectopic fat deposition and insulin sensitivity.

Highlights d Increases in adipose mass lead to an irreversible increase in adipocyte number d Adipocyte number is linked to the adipose expression of a set of growth factors d Among these, only TGFb3 stimulates adipocyte progenitor proliferation d Tgfb3 +/À mice display adipose hypertrophy and glucose intolerance upon weight gain

Regulation of adipose tissue stem cells (ASCs) and adipogenesis impact the development of excess body fat-related metabolic complications. Animal studies have suggested the presence of distinct subtypes of ASCs with different differentiation properties. In addition, ASCs are becoming the biggest source of mesenchymal stem cells used in therapies, which requires deep characterization. Using unbiased single cell transcriptomics we aimed to characterize ASC populations in human subcutaneous white adipose tissue (scWAT). The transcriptomes of 574 single cells from the WAT total stroma vascular fraction (SVF) of four healthy women were analyzed by clustering and t-distributed stochastic neighbor embedding visualization. The identified cell populations were then mapped to cell types present in WAT using data from gene expression microarray profiling of flow cytometry-sorted SVF. Cells clustered into four distinct populations: three adipose tissue-resident macrophage subtypes and one large, homogeneous population of ASCs. While pseudotemporal ordering analysis indicated that the ASCs were in slightly different differentiation stages, the differences in gene expression were small and could not distinguish distinct ASC subtypes. Altogether, in healthy individuals, ASCs seem to constitute a single homogeneous cell population that cannot be subdivided by single cell transcriptomics, suggesting a common origin for human adipocytes in scWAT.Electronic supplementary materialThe online version of this article (doi:10.1186/s13287-017-0701-4) contains supplementary material, which is available to authorized users.

Objective Although IL-10 is generally considered as an anti-inflammatory cytokine, it was recently shown to have detrimental effects on insulin sensitivity and fat cell metabolism in rodents. Whether this also pertains to human white adipose tissue (hWAT) is unclear. We therefore determined the main cellular source and effects of IL-10 on human adipocytes and hWAT-resident immune cells and its link to insulin resistance. Methods Associations between hWAT IL-10 production and metabolic parameters were investigated in 216 participants with large interindividual variations in body mass index and insulin sensitivity. Adipose cells expressing or secreting IL-10 and the cognate IL-10 receptor α (IL10RA) were identified by flow cytometry sorting. Effects on adipogenesis, lipolysis, and inflammatory/metabolic gene expression were measured in two human primary adipocyte models. Secretion of inflammatory cytokines was investigated in cultures of IL-10–treated hWAT macrophages and leukocytes by Luminex analysis (Luminex Corp.). Results IL-10 gene expression and protein secretion in hWAT correlated positively with body mass index (BMI) and homeostasis model assessment-insulin resistance (HOMA-IR). Gene expression analyses in mature fat cells and flow cytometry–sorted hWAT-resident adipocyte progenitors, macrophages, and leukocytes demonstrated that the expression of IL-10 and the IL10RA were significantly enriched in proinflammatory M1 macrophages. In contrast to murine data, functional studies showed that recombinant IL-10 had no effect on adipocyte phenotype. In hWAT-derived macrophages and leukocytes, it induced an anti-inflammatory profile. Conclusion In hWAT, IL-10 is upregulated in proinflammatory macrophages of obese and insulin-resistant persons. However, in contrast to findings in mice, IL-10 does not directly affect human adipocyte function.

Obesity affects gene expression and metabolism of white adipose tissue (WAT), which results in insulin resistance (IR) and type 2 diabetes. However, WAT is a heterogeneous organ containing many cell types that might respond differently to obesity-induced changes. We performed flow cytometry sorting and RNA expression profiling by microarray of major WAT cell types (adipocytes, CD45−/CD31−/CD34+ progenitors, CD45+/CD14+ monocytes/ macrophages, CD45+/CD14− leukocytes), which allowed us to identify genes enriched in specific cell fractions. Additionally, we included adipocytes and adipocyte progenitor cells obtained from lean and obese individuals. Taken together, we provide a detailed gene expression atlas of major human adipose tissue resident cell types for clinical/basic research and using this dataset provide lists of cell-type specific genes that are of interest for metabolic research.