Comprehensive Characterization of Islet Remodeling in Development and in Diabetes Using Mass Cytometry

• Published in: Endocrinology (Philadelphia) Vol. 165; no. 9; p. 1
• Main Authors: Toledo, Maria Pilar, Xie, Gengqiang, Wang, Yue J
• Format: Journal Article
• Language: English
• Published: US Oxford University Press 01.09.2024
• Subjects: Adolescent; Adult; Age; Aged; B cells; Beta cells; Cellular structure; Child; Child, Preschool; Cytometry; Data analysis; Development and progression; Developmental plasticity; Diabetes; Diabetes mellitus (insulin dependent); Diabetes mellitus (non-insulin dependent); Diabetes Mellitus, Type 1 - metabolism; Diabetes Mellitus, Type 1 - pathology; Diabetes Mellitus, Type 2 - metabolism; Diabetes Mellitus, Type 2 - pathology; Female; Flow Cytometry - methods; Heterogeneity; Humans; Infant; Insulin-Secreting Cells - cytology; Insulin-Secreting Cells - metabolism; Insulin-Secreting Cells - pathology; Insulin-Secreting Cells - physiology; Islet cells; Islets of Langerhans - metabolism; Islets of Langerhans - pathology; Male; Middle Aged; Pancreas; Pathogenesis; Proteins; Single-Cell Analysis - methods; Structural analysis; Structure-function relationships; Type 2 diabetes; Young Adult; islet remodeling; development; mass cytometry; CyTOF; diabetes
• ISSN: 1945-7170; 0013-7227; 1945-7170
• DOI: 10.1210/endocr/bqae094

Abstract The pancreatic islet is the functional and structural unit of the pancreatic endocrine portion. Islet remodeling occurs in both normal development and pathogenesis of type 1 (T1D) and type 2 diabetes (T2D). However, accurately quantifying changes in islet cellular makeup and hormone expressions poses significant challenges due to large intra- and inter-donor heterogeneity and the limited scalability of traditional methods such as immunostaining. The cytometry by time-of-flight (CyTOF) technology enables simultaneous quantification of more than 30 protein markers at single-cell resolution in a high-throughput fashion. Moreover, with distinct DNA and viability markers, single live cells can be explicitly selected in CyTOF. Here, leveraging the CyTOF data generated by the Human Pancreas Analysis Program, we characterized more than 12 million islet cells from 71 donors. Our data revealed continued age-related changes in islet endocrine cell compositions, but the maturity of endocrine cells is reached by 3 years of age. We also observed significant changes in beta cell numbers and key protein expressions, along with a significant increase in bihormonal cells in T1D donors. In contrast, T2D donors exhibited minimal islet remodeling events. Our data shine a light on the islet dynamics during development and diabetes pathogenesis and suggest divergent pathogenesis processes of T1D and T2D. Our comprehensive approach not only elucidates islet plasticity but also establishes a foundation for integrated CyTOF analysis in islet biology and beyond.