2024
β-Cell Secretory Capacity Predicts Metabolic Outcomes over 6 Years following Human Islet Transplantation.
Flatt A, Matus A, Gallop R, Markmann E, Dalton-Bakes C, Peleckis A, Liu C, Naji A, Rickels M. β-Cell Secretory Capacity Predicts Metabolic Outcomes over 6 Years following Human Islet Transplantation. Diabetes 2024 PMID: 39630971, DOI: 10.2337/db24-0729.Peer-Reviewed Original ResearchPurified human pancreatic isletsB-cell massB-cell secretory capacityHuman pancreatic isletsSecretory capacityProinsulin secretory ratiosInsulin independenceBeta 2Pancreatic isletsMeasures of graft functionHormone metabolismSecretory ratioIntra-portal infusionOne-year post-transplantGlucose-potentiated arginineType 1 diabetesGraft functionPost-transplantB cellsIsletsMetabolic outcomesFasting glucagonHuman islet transplantationSustained insulin independence1736-P: Exploring Intrinsic Features of Human Pancreatic a- and ß-Cell Physiology Using Pseudoislets
ROZO A, ROMAN J, QIN W, LIU C, NAJI A, KAESTNER K, HOSHI T, STOFFERS D, DOLIBA N. 1736-P: Exploring Intrinsic Features of Human Pancreatic a- and ß-Cell Physiology Using Pseudoislets. Diabetes 2024, 73 DOI: 10.2337/db24-1736-p.Peer-Reviewed Original ResearchB cell physiologyIslet cell typesCell typesOxygen consumption rateA cellsCa2+ fluxBaseline oxygen consumption rateIntrinsic cellular functionsGlucose-mediated inhibitionCellular functionsNative isletsPancreatic AEffect of glucoseMitochondrial functionResponse to glucoseAmino acidsRate of secretionGenetic interventionsPseudoisletsB cell aggregatesGlucose-induced inhibitionHuman APhysiologyCell populationsIsletsModeling type 1 diabetes progression using machine learning and single-cell transcriptomic measurements in human islets
Patil A, Schug J, Liu C, Lahori D, Descamps H, Consortium T, Naji A, Kaestner K, Faryabi R, Vahedi G. Modeling type 1 diabetes progression using machine learning and single-cell transcriptomic measurements in human islets. Cell Reports Medicine 2024, 5: 101535. PMID: 38677282, PMCID: PMC11148720, DOI: 10.1016/j.xcrm.2024.101535.Peer-Reviewed Original ResearchSingle-cell transcriptomic measurementsGene expression of single cellsGene signatureSingle-cell analysisTranscriptional outputTranscriptomic measurementsUnique gene signatureNon-diabetic organ donorsAnalysis of isletsGene expressionAutoantibody-positive donorsPrediction of T1DHuman isletsBeta cellsCell typesT1D developmentSingle cellsGenesType 1 diabetes progressionCellsT1D onsetType 1 diabetesIsletsImmune cellsNon-diabetics
2023
Checkpoint kinase 2 controls insulin secretion and glucose homeostasis
Chong A, Vandana J, Jeng G, Li G, Meng Z, Duan X, Zhang T, Qiu Y, Duran-Struuck R, Coker K, Wang W, Li Y, Min Z, Zuo X, de Silva N, Chen Z, Naji A, Hao M, Liu C, Chen S. Checkpoint kinase 2 controls insulin secretion and glucose homeostasis. Nature Chemical Biology 2023, 20: 566-576. PMID: 37945898, PMCID: PMC11062908, DOI: 10.1038/s41589-023-01466-4.Peer-Reviewed Original ResearchGlucose-stimulated insulin secretionInsulin secretionHuman β-cellsCynomolgus macaquesΒ-cellsImproved glucose clearanceType 2 diabetic human isletsDiabetic mouse modelDiabetic human isletsHuman β-cell lineDiscovery of insulinT2D conditionsΒ-cell lineGlucose toleranceGlucose clearanceMouse modelGlucose homeostasisMice showHuman isletsSecretionVivo studiesUntargeted metabolic profilingCell linesCheckpoint kinase 2Islets