Nature MetabolismCell BiologyPeer-reviewed journal article
LONP1 regulation of mitochondrial protein folding provides insight into beta cell failure in type 2 diabetes
Jin LiiD, Yamei DengiD, Marie GasseriD, Jie ZhuiD, Emily M. WalkeriD, Vaibhav SidaralaiD, Emma C. ReckiD, Dre L. HubersiD, Mabelle B. PasmooijiD, Chun-Shik ShiniD, Khushdeep BandeshiD, Eftyhmios Motakis, Siddhi NargundiD, Romy KursaweiD, Venkatesha BasruriD, Alexey I. NesvizhskiiiD, Michael L. StitzeliD, David C. ChaniD, Guy A. RutteriD, Scott A. SoleimanpouriD
Abstract
Proteotoxicity is a contributor to the development of type 2 diabetes (T2D), but it is unknown whether protein misfolding in T2D is generalized or has special features. Here, we report a robust accumulation of misfolded proteins within the mitochondria of human pancreatic islets in T2D and elucidate its impact on {beta} cell viability. Surprisingly, quantitative proteomics studies of protein aggregates reveal that human islets from donors with T2D have a signature more closely resembling mitochondrial rather than ER protein misfolding. The matrix protease LonP1 and its chaperone partner mtHSP70 were among the proteins enriched in protein aggregates. Deletion of LONP1 in mice yields mitochondrial protein misfolding and reduced respiratory function, ultimately leading to {beta} cell apoptosis and hyperglycemia. Intriguingly, LONP1 gain of function ameliorates mitochondrial protein misfolding and restores human {beta} cell survival following glucolipotoxicity via a protease-independent effect requiring LONP1-mtHSP70 chaperone activity. Thus, LONP1 promotes {beta} cell survival and prevents hyperglycemia by facilitating mitochondrial protein folding. These observations may open novel insights into the nature of impaired proteostasis on {beta} cell loss in the pathogenesis of T2D that could be considered as future therapeutic targets.
- organism: human
- organism: mouse
- assay: proteomics
- research focus: cell type annotation
- research focus: differential expression
- research focus: protein folding & dynamics
- research focus: cancer & tumor microenvironment
- approach: experimental assay
- approach: genetic perturbation / CRISPR
- approach: biophysical modeling
- Citations
- 28
- FWCI
- 14.81
- Field percentile
- top 1%
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