Fig. 1: Integration of three molecular layers derived from the circulation of pediatric T1D patients and their association with clinical phenotypes. | Communications Medicine

Fig. 1: Integration of three molecular layers derived from the circulation of pediatric T1D patients and their association with clinical phenotypes.

From: A multi-omics integration approach relying on circulating factors does not discern subtypes of childhood type 1 diabetes

Fig. 1

A cohort of new-onset pediatric T1D patients was prospectively enrolled at our institute, resulting in 146 individuals meeting the selection criteria. Whole transcriptome sequencing (RNA) was performed on whole blood (n = 103), the circulating immunome (IMM) was assessed using unsupervised flow-cytometry analysis (n = 136), and metabolic hormones (MetH, i.e., adiponectin, resistin, adipsin, leptin, GIP, PP, proinsulin, PAI-1, lipocalin) were measured in the serum by multiplex assay (n = 120). Data integration was conducted using the multi-omics factor analysis (MOFA). Factors were obtained to explain the variance of the dataset. Attempts were made to unravel T1D endotypes by performing patient clusterization based on phenotypes (clinical data, genetic predisposition, and disease outcome) and factors.

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