Fig. 8: Deconvolution of transcriptomic data reveals cluster-specific clinical associations.

a Bulk transcriptomic data from eight cohorts were retrieved, the distribution in age, BMI, and HOMA-IR are shown in the left panel. Summary statistics are detailed in the right panels. b Heatmap displaying the association between individual cell types (denoted by numbers and color according to the classification in Figs. 2–4) with: anthropometric measures, HOMA-IR, circulating levels of HDL-cholesterol, triglycerides, and leptin (all in the fasted state), fat cell volume as well as adipocyte lipolysis (basal, isoprenaline-stimulated and isoprena-stimulated/basal). Three main clusters (A–C) were identified where cluster A and B are magnified in the right panel. c Representative Forest plots displaying the associations between individual measures and cell types. Data are shown as correlations with 95% confidence intervals for each study and summarized using both common and random effects models. For all displayed data, p values were <0.0001. d Stability of clusters A and B were determined in the two indicated cohorts where WAT bulk transcriptomes were generated before and two years following bariatric surgery. e Effects of weight loss induced by bariatric surgery in two cohorts. Panels display deconvolution scores for the indicated cell subpopulations. p values were calculated by two-sided paired sample t test (n = 15; Petrus et al.⁵⁴ and n = 37; Kerr et al.⁵³) and boxplots are presented as interquartile range plus median and Tukey whiskers with individual, paired data points. Source data are provided as a Source data file.