Jennifer VanOudenhove, PhD
Associate Research ScientistCards
About
Research
Publications
2024
Clonal hematopoiesis of indeterminate potential is associated with increased risk of immune checkpoint inhibitor myocarditis in a prospective study of a cardio-oncology cohort
Jaber Chehayeb R, Singh J, Matute-Martinez C, Chen N, Guajardo A, Lin D, Jayakrishnan R, Christofides A, Leveille E, Im Y, Biancon G, VanOudenhove J, Ibrahim E, Ardasheva A, Jha A, Hwa J, Halene S, Kwan J. Clonal hematopoiesis of indeterminate potential is associated with increased risk of immune checkpoint inhibitor myocarditis in a prospective study of a cardio-oncology cohort. Cardio-Oncology 2024, 10: 84. PMID: 39587635, PMCID: PMC11590368, DOI: 10.1186/s40959-024-00289-z.Peer-Reviewed Original ResearchImmune checkpoint inhibitor myocarditisImmune checkpoint inhibitorsImmune checkpoint inhibitor useICI-myocarditisIndeterminate potentialProspective studyImmune checkpoint inhibitor therapyCancer therapyClonal hematopoiesis of indeterminate potentialCancer treated with immunotherapyIncreased T cell activationObstructive coronary artery diseaseMultivariate competing risk analysisCardiotoxic cancer therapyRisks Cox regressionAssociated with increased riskIncreased all-cause mortalityPatient co-morbiditiesRisk of cardiomyopathyT cell activationCompeting risk analysisCoronary artery calcificationCoronary artery diseaseAll-cause mortalityHeart failure patientsGPR68 supports AML cells through the calcium/calcineurin pro-survival pathway and confers chemoresistance by mediating glucose metabolic symbiosis
He X, Hawkins C, Lawley L, Phan T, Park I, Joven N, Zhang J, Wunderlich M, Mizukawa B, Pei S, Patel A, VanOudenhove J, Halene S, Fang J. GPR68 supports AML cells through the calcium/calcineurin pro-survival pathway and confers chemoresistance by mediating glucose metabolic symbiosis. Biochimica Et Biophysica Acta (BBA) - Molecular Basis Of Disease 2024, 167565. PMID: 39522891, DOI: 10.1016/j.bbadis.2024.167565.Peer-Reviewed Original ResearchAcute myeloid leukemiaAcute myeloid leukemia cellsPro-survival pathwaysInhibiting isocitrate dehydrogenaseMetabolic symbiosisMyelodysplastic syndromeHematopoietic malignanciesExtracellular acidosisAssociated with inferior clinical outcomesCellular respirationFirst-line chemotherapeutic agentAcute myeloid leukemia patientsInferior clinical outcomesAerobic glycolysisCell survival in vitroEngraftment in vivoDecreased Ca<sup>2+</sup> levelDecreased aerobic glycolysisSurvival in vitroGlucose metabolic pathwaysG protein-coupled receptor 68Impacts chemosensitivityIn vitro observationsTumoricidal effectMyeloid leukemiaAplastic anemia in association with multiple myeloma: clinical and pathophysiological insights
Muradashvili T, Liu Y, VanOudenhove J, Gu S, Krause D, Montanari F, Carlino M, Mancuso R, Stempel J, Halene S, Zeidan A, Podoltsev N, Neparidze N. Aplastic anemia in association with multiple myeloma: clinical and pathophysiological insights. Leukemia & Lymphoma 2024, ahead-of-print: 1-8. PMID: 39225418, DOI: 10.1080/10428194.2024.2393260.Peer-Reviewed Original ResearchAplastic anemiaMultiple myelomaImmunosuppressive therapyTransfusion requirementsProgenitor cellsPlasma cell-directed therapyT-cell destructionCell-directed therapiesInhibition of erythroid colony formationErythroid colony formationLevels of IL8Severe AAImmune cytopeniasPartial responseMM patientsHematopoietic stemSerum testsPartial improvementPathophysiological insightsPatientsImmune systemPlatelet apoptosisCytopeniasColony formationMyelomaClonal Hematopoiesis Is Associated With Cardiomyopathy During Solid Tumor Therapy
Leveille E, Cheheyeb R, Matute-Martinez C, Chen N, Jayakrishnan R, Christofides A, Lin D, Im Y, Biancon G, VanOudenhove J, Halene S, Kwan J. Clonal Hematopoiesis Is Associated With Cardiomyopathy During Solid Tumor Therapy. JACC CardioOncology 2024, 6: 605-607. PMID: 39239339, PMCID: PMC11372300, DOI: 10.1016/j.jaccao.2024.05.013.Peer-Reviewed Original Research
2023
CAR T-Related Toxicities Based on Dynamic Proteomic Profiles Identifies Risk Factors for Cytokine Release Syndrome (CRS) and Immune Effector Cell -Associated Neurotoxicity Syndrome (ICANS)
Kewan T, Mirza S, Pine A, Rasheed Y, Hamouche R, Leveille E, Goshua G, Gu S, Liu Y, Vanoudenhove J, Bar N, Neparidze N, Foss F, Gowda L, Isufi I, Halene S, Lee A, Seropian S. CAR T-Related Toxicities Based on Dynamic Proteomic Profiles Identifies Risk Factors for Cytokine Release Syndrome (CRS) and Immune Effector Cell -Associated Neurotoxicity Syndrome (ICANS). Blood 2023, 142: 2132. DOI: 10.1182/blood-2023-187295.Peer-Reviewed Original ResearchCytokine release syndromeDiffuse large B-cell lymphomaCAR T-cell therapyCAR T-cell productsCAR-T productsNon-Hodgkin lymphomaBest cutoff pointMultiple myelomaHigher oddsDay 3Risk factorsTime pointsCutoff pointDay 5Day 0Median absolute lymphocyte countChimeric antigen receptor T cellsRefractory non-Hodgkin lymphomaCAR T-cell infusionAntigen receptor T cellsLarge B-cell lymphomaCAR-T activationFludarabine/cyclophosphamideHigher baseline CRPPossible inflammatory mediatorsImpact of Memory T Cells on SARS-COV-2 Vaccine Response in Hematopoietic Stem Cell Transplant.
VanOudenhove J, Liu Y, Nelakanti R, Kim D, Busarello E, Ovalle NT, Qi Z, Mamillapalli P, Siddon A, Bai Z, Axtmayer A, Corso C, Kothari S, Foss F, Isufi I, Tebaldi T, Gowda L, Fan R, Seropian S, Halene S. Impact of Memory T Cells on SARS-COV-2 Vaccine Response in Hematopoietic Stem Cell Transplant. BioRxiv 2023 PMID: 37961434, DOI: 10.1101/2023.10.26.564259.Peer-Reviewed Original Research In PressMicrofluidic Immuno‐Serolomic Assay Reveals Systems Level Association with COVID‐19 Pathology and Vaccine Protection (Small Methods 10/2023)
Kim D, Biancon G, Bai Z, VanOudenhove J, Liu Y, Kothari S, Gowda L, Kwan J, Buitrago‐Pocasangre N, Lele N, Asashima H, Racke M, Wilson J, Givens T, Tomayko M, Schulz W, Longbrake E, Hafler D, Halene S, Fan R. Microfluidic Immuno‐Serolomic Assay Reveals Systems Level Association with COVID‐19 Pathology and Vaccine Protection (Small Methods 10/2023). Small Methods 2023, 7 DOI: 10.1002/smtd.202370057.Peer-Reviewed Original ResearchIntegrative analysis of transcriptome dynamics during human craniofacial development identifies candidate disease genes
Yankee T, Oh S, Winchester E, Wilderman A, Robinson K, Gordon T, Rosenfeld J, VanOudenhove J, Scott D, Leslie E, Cotney J. Integrative analysis of transcriptome dynamics during human craniofacial development identifies candidate disease genes. Nature Communications 2023, 14: 4623. PMID: 37532691, PMCID: PMC10397224, DOI: 10.1038/s41467-023-40363-1.Peer-Reviewed Original ResearchConceptsGene co-expression analysisSingle-cell RNA-seqCraniofacial disordersSet of genesCo-expression analysisTranscriptome dynamicsDevelopmental enhancersRegulatory hubEpigenomic dataCraniofacial developmentRNA-seqDe novo mutationsDisease genesGene expressionIntegrative analysisCraniofacial tissuesGenesNovo mutationsHuman tissuesMutationsDevelopment identifiesCommon congenital defectsWeeks post conceptionPost conceptionCraniofacial region
2022
Is it the time to integrate novel sequencing technologies into clinical practice?
VanOudenhove J, Halene S, Mendez L. Is it the time to integrate novel sequencing technologies into clinical practice? Current Opinion In Hematology 2022, 30: 70-77. PMID: 36602939, DOI: 10.1097/moh.0000000000000754.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsNovel sequencing technologiesSequencing technologiesUnprecedented biological insightsNext-generation sequencing techniquesDNA sequencing technologiesHigh-throughput NGSRare cell populationsBiological insightsMultiomics approachSequencing techniquesGenotype-phenotype correlationClonal diversityCellular resolutionMechanistic insightsCell populationsPhenotype correlationMyeloid diseasesClonesClonal hierarchyClonal haematopoiesisResidual clonesInsightsSeqDiversityImproved captureNIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health
Lee P, Benz C, Blood P, Börner K, Campisi J, Chen F, Daldrup-Link H, De Jager P, Ding L, Duncan F, Eickelberg O, Fan R, Finkel T, Furman D, Garovic V, Gehlenborg N, Glass C, Heckenbach I, Joseph Z, Katiyar P, Kim S, Königshoff M, Kuchel G, Lee H, Lee J, Ma J, Ma Q, Melov S, Metis K, Mora A, Musi N, Neretti N, Passos J, Rahman I, Rivera-Mulia J, Robson P, Rojas M, Roy A, Scheibye-Knudsen M, Schilling B, Shi P, Silverstein J, Suryadevara V, Xie J, Wang J, Wong A, Niedernhofer L, Wang S, Anvari H, Balough J, Benz C, Bons J, Brenerman B, Evans W, Gerencser A, Gregory H, Hansen M, Justice J, Kapahi P, Murad N, O’Broin A, Pavone M, Powell M, Scott G, Shanes E, Shankaran M, Verdin E, Winer D, Wu F, Adams A, Blood P, Bueckle A, Cao-Berg I, Chen H, Davis M, Filus S, Hao Y, Hartman A, Hasanaj E, Helfer J, Herr B, Joseph Z, Molla G, Mou G, Puerto J, Quardokus E, Ropelewski A, Ruffalo M, Satija R, Schwenk M, Scibek R, Shirey W, Sibilla M, Welling J, Yuan Z, Bonneau R, Christiano A, Izar B, Menon V, Owens D, Phatnani H, Smith C, Suh Y, Teich A, Bekker V, Chan C, Coutavas E, Hartwig M, Ji Z, Nixon A, Dou Z, Rajagopal J, Slavov N, Holmes D, Jurk D, Kirkland J, Lagnado A, Tchkonia T, Abraham K, Dibattista A, Fridell Y, Howcroft T, Jhappan C, Montes V, Prabhudas M, Resat H, Taylor V, Kumar M, Suryadevara V, Cigarroa F, Cohn R, Cortes T, Courtois E, Chuang J, Davé M, Domanskyi S, Enninga E, Eryilmaz G, Espinoza S, Gelfond J, Kirkland J, Kuchel G, Kuo C, Lehman J, Aguayo-Mazzucato C, Meves A, Rani M, Sanders S, Thibodeau A, Tullius S, Ucar D, White B, Wu Q, Xu M, Yamaguchi S, Assarzadegan N, Cho C, Hwang I, Hwang Y, Xi J, Adeyi O, Aliferis C, Bartolomucci A, Dong X, DuFresne-To M, Ikramuddin S, Johnson S, Nelson A, Niedernhofer L, Revelo X, Trevilla-Garcia C, Sedivy J, Thompson E, Robbins P, Wang J, Aird K, Alder J, Beaulieu D, Bueno M, Calyeca J, Chamucero-Millaris J, Chan S, Chung D, Corbett A, Gorbunova V, Gowdy K, Gurkar A, Horowitz J, Hu Q, Kaur G, Khaliullin T, Lafyatis R, Lanna S, Li D, Ma A, Morris A, Muthumalage T, Peters V, Pryhuber G, Reader B, Rosas L, Sembrat J, Shaikh S, Shi H, Stacey S, Croix C, Wang C, Wang Q, Watts A, Gu L, Lin Y, Rabinovitch P, Sweetwyne M, Artyomov M, Ballentine S, Chheda M, Davies S, DiPersio J, Fields R, Fitzpatrick J, Fulton R, Imai S, Jain S, Ju T, Kushnir V, Link D, Ben Major M, Oh S, Rapp D, Rettig M, Stewart S, Veis D, Vij K, Wendl M, Wyczalkowski M, Craft J, Enninful A, Farzad N, Gershkovich P, Halene S, Kluger Y, VanOudenhove J, Xu M, Yang J, Yang M. NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health. Nature Aging 2022, 2: 1090-1100. PMID: 36936385, PMCID: PMC10019484, DOI: 10.1038/s43587-022-00326-5.Peer-Reviewed Original ResearchConceptsSenescence-associated secretory phenotypeSenescent cellsSecretory phenotypeMulti-omics datasetsStable growth arrestHuman lifespanDiverse rolesGrowth arrestProinflammatory senescence-associated secretory phenotypeHuman tissuesPhenotypeMetabolic changesCellsHuman healthLifespanPhysiological healthCommon Coordinate Framework