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Interpretable single-cell machine learning identifies PINK1-centred mitophagy as a determinant of metabolic fitness in type 2 diabetes.

Created on 13 Jul 2026

Authors

Bingjun Zeng, Da Qin, Xiaowei Xu, Dayun Tao, Ying Jiang, Hao Zhou, Yanli Wang

Published in

Acta diabetologica. Jul 13, 2026. Epub Jul 13, 2026.

Abstract

Progressive pancreatic β-cell dysfunction constitutes a hallmark of type 2 diabetes (T2D), yet the molecular programmes governing metabolic fitness deterioration remain incompletely characterised at single-cell resolution.
Single-cell transcriptomic data (GSE221156) encompassing pancreatic islet cells from 48 donors (non-diabetic [ND], n = 17; pre-diabetic [PD], n = 14; T2D, n = 17) were analysed using an interpretable machine learning framework that integrated sparse rule-based classification, pathway-constrained modelling, and mitochondrial fitness indexing.
Five transcriptionally distinct β-cell subtypes (β1-β5) were resolved. The β1 subtype exhibited peak proportional representation in PD donors (35.0%) compared with ND (16.7%) and T2D (21.1%), consistent with stress-induced adaptive expansion. Mitochondrial biogenesis and ER stress emerged as the top-ranked programmes discriminating T2D from ND β-cells (importance scores = 0.329 and 0.329). Within the mitophagy gene set, MFN2 exhibited the highest feature importance (|logFC| = 0.472), followed by PINK1 (|logFC| = 0.199). PINK1 expression progressively declined across β1→β5 subtypes. A mitochondrial fitness index integrating mitophagy, proteostasis, biogenesis, and oxidative phosphorylation achieved R² = 0.65 against module-based quality scores. Hypergeometric enrichment analysis of differentially expressed genes between the adaptive β1 subtype and dysfunctional β2-β5 subtypes revealed significant enrichment of insulin secretion (p = 0.0019), endoplasmic reticulum stress (p = 0.0013), and oxidative phosphorylation (p = 0.045) pathways.
PINK1-centred mitophagy represents a critical determinant of β-cell metabolic fitness in T2D, with implications for therapeutic strategies aimed at preserving islet function during disease progression.

PMID:
42440097
Bibliographic data and abstract were imported from PubMed on 13 Jul 2026.

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