Cell stem cellCell BiologyPeer-reviewed journal article
Chronic pancreatitis patient-derived organoids reveal new paths to precision therapeutics
Victoria Osorio-VasqueziD, Jonathan ZhuiD, Jan C. LumibaoiD, Kathryn LandeiD, Kristina L. PeckiD, McKenna K. StampiD, Shira R. Okhovat, Hyemin SongiD, Satoshi OgawaiD, Casie S. KubotaiD, Vasiliki PantazopoulouiD, Kassidy CurtisiD, Kahing Kuo, Yang DaiiD, Angelica E. RockiD, Chelsea R. BottomleyiD, Ethan J. Thomas, Jasper HsuiD, Araceli Herrera Morales, Alexandra FowleriD, T’Onj McGriff, K. Garrett EvenseniD, April E. WilliamsiD, Siri Larsen, Muhamad Abdulla, , Dannielle D. Engle (15105439)
Abstract
Chronic pancreatitis (CP) affects [~]3 million people worldwide, yet altering the course of disease is challenging. We developed a patient-derived organoid (PDO) platform to investigate the molecular pathogenesis of this disease and identify therapeutic strategies. We generated 36 PDOs from patients with idiopathic, hereditary, and alcohol-related CP with high genetic concordance. PDOs retained inflammation-associated transcriptional and proteomic features. Transcriptomic profiling revealed three molecular subtypes of CP independent of etiology. We discovered widespread dysfunction of the cystic fibrosis transmembrane conductance regulator (CFTR) in half of the CP PDOs, including those with wildtype CFTR. Clinically available CFTR modulators stabilized mutant or wildtype CFTR, restored CFTR function, and decreased mitogenic and inflammatory signaling. This work provides the first comprehensive PDO platform for modeling CP. We demonstrate the utility of this platform for precision therapeutic investigations. Our findings reveal CFTR modulators as a broadly applicable and effective therapeutic strategy.
- organism: human
- assay: proteomics
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: drug response / drug discovery
- approach: experimental assay
- approach: statistical model
- Citations
- 2
- FWCI
- 10.94
- Field percentile
- top 2%
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