J Clin Endocrinol Metab. 2026 Sep 11:dgag355. doi: 10.1210/clinem/dgag355. Online ahead of print.
ABSTRACT
CONTEXT: Approximately 20% of patients with chronic pancreatitis achieve insulin independence one year after total pancreatectomy with islet autotransplantation (TPIAT), an outcome associated with younger age and lower pre-transplant HbA1c. The contribution of diabetes-related genetics to TPIAT outcomes is unknown. Genetic risk scores (GRS) are associated with C-peptide levels in type 1 (T1D) and type 2 (T2D) diabetes.
OBJECTIVE: To evaluate whether T1D and T2D GRS and partitioned metabolic polygenic scores (PGS) are associated with diabetes before TPIAT and metabolic outcomes one year after transplant.
METHODS: We genotyped 318 patients with chronic pancreatitis undergoing TPIAT in the multicenter “Advancing Treatment for Pancreatitis: A Prospective Observational Study of TPIAT” using a global screening array. Regression models assessed associations of T1D- and T2D-GRS and metabolic PGS with diabetes outcomes one year after TPIAT.
RESULTS: Participants were 29±17 years old, 61% female, 84% non-Hispanic White, and 13% had diabetes prior to transplant. T2D-GRS was higher among those with pre-TPIAT diabetes (-0.6±0.3 versus -0.8±0.2, p=0.003) and was associated with higher pre-transplant HbA1c (β=0.19 % per 1-SD [95% CI:0.04, 0.33], p = 0.011). Adjusted for genotype-derived ancestry and islet equivalents/kg, the beta-cell PGS was associated with higher insulin dose (β=0.05 units/kg/day per 1-SD, [95%CI:0.01, 0.09], p=0.016) and higher insulin dose adjusted A1c (IDAA1c) (β=0.34[95%CI:0.03, 0.67], p=0.029) 1-year post-transplant. The lipodystrophy PGS was associated with higher IDAA1c (β=0.38 [95%CI:0.06, 0.69], p=0.019) and lower fasting C-peptide (β=-0.09 [95%CI:-0.18, 0], p=0.041) at 1 year.
CONCLUSIONS: T2D genetic risk is associated with diabetes prior to TPIAT, and beta cell and lipodystrophy PGS are associated with post-TPIAT diabetes outcomes. Diabetes-related genetics may influence transplantation outcomes and inform metabolic heterogeneity.
PMID:42722448 | DOI:10.1210/clinem/dgag355
