2022
Single-cell RNA-seq uncovers cellular heterogeneity and provides a signature for paediatric sleep apnoea.
Cortese R, Adams T, Cataldo K, Hummel J, Kaminski N, Kheirandish-Gozal L, Gozal D. Single-cell RNA-seq uncovers cellular heterogeneity and provides a signature for paediatric sleep apnoea. European Respiratory Journal 2022, 61: 2201465. PMID: 36356973, DOI: 10.1183/13993003.01465-2022.Peer-Reviewed Original ResearchMeSH KeywordsAdultChildHumansInflammationLeukocytes, MononuclearSingle-Cell Gene Expression AnalysisSleep Apnea, ObstructiveConceptsObstructive sleep apnoeaSleep apnoeaImpact of OSASystemic immune functionMononuclear cell compositionMolecular signaturesCell-specific markersSystemic inflammationCardiovascular dysfunctionImmune cellsImmune functionSingle-cell transcriptomic analysisPaediatric sleep apnoeaUndescribed cell typePrevalent diseaseMajor causeCellular compositionApnoeaCell compositionRNA expression datasetsDiagnostic settingCell typesCell lineagesMolecular diagnostic settingScRNA-seq
2019
Increased monocyte count as a cellular biomarker for poor outcomes in fibrotic diseases: a retrospective, multicentre cohort study
Scott MKD, Quinn K, Li Q, Carroll R, Warsinske H, Vallania F, Chen S, Carns MA, Aren K, Sun J, Koloms K, Lee J, Baral J, Kropski J, Zhao H, Herzog E, Martinez FJ, Moore BB, Hinchcliff M, Denny J, Kaminski N, Herazo-Maya JD, Shah NH, Khatri P. Increased monocyte count as a cellular biomarker for poor outcomes in fibrotic diseases: a retrospective, multicentre cohort study. The Lancet Respiratory Medicine 2019, 7: 497-508. PMID: 30935881, PMCID: PMC6529612, DOI: 10.1016/s2213-2600(18)30508-3.Peer-Reviewed Original ResearchConceptsIdiopathic pulmonary fibrosisPulmonary fibrosisAbsolute monocyte countMonocyte countImmune cell typesElectronic health recordsPoor outcomeHigh riskSystemic sclerosisMonocyte percentageHypertrophic cardiomyopathyHigh absolute monocyte countPeripheral blood mononuclear cell samplesComplete blood count valuesSpecific immune cell typesTransplant-free survivalMulticentre cohort studyHealth recordsHigh-risk patientsBlood count valuesSame clinical presentationHigher monocyte countMononuclear cell samplesRisk of mortalityCell types
2018
S100A12 as a marker of worse cardiac output and mortality in pulmonary hypertension
Tzouvelekis A, Herazo‐Maya J, Ryu C, Chu J, Zhang Y, Gibson KF, Adonteng‐Boateng P, Li Q, Pan H, Cherry B, Ahmad F, Ford HJ, Herzog EL, Kaminski N, Fares WH. S100A12 as a marker of worse cardiac output and mortality in pulmonary hypertension. Respirology 2018, 23: 771-779. PMID: 29611244, PMCID: PMC6047907, DOI: 10.1111/resp.13302.Peer-Reviewed Original ResearchConceptsPeripheral blood mononuclear cellsPH patientsPH cohortCardiac outputWorld Health Organization group 1Idiopathic pulmonary fibrosis patientsPulmonary hypertension patientsPulmonary fibrosis patientsBlood mononuclear cellsProtein serum concentrationsHigher S100A12Pulmonary hypertensionS100A12 levelsOverall mortalityHypertension patientsPrognostic valueValidation cohortMononuclear cellsPeripheral bloodSerum concentrationsInflammatory diseasesGroup 1PatientsFibrosis patientsS100A12
2017
Validation of a 52-gene risk profile for outcome prediction in patients with idiopathic pulmonary fibrosis: an international, multicentre, cohort study
Herazo-Maya JD, Sun J, Molyneaux PL, Li Q, Villalba JA, Tzouvelekis A, Lynn H, Juan-Guardela BM, Risquez C, Osorio JC, Yan X, Michel G, Aurelien N, Lindell KO, Klesen MJ, Moffatt MF, Cookson WO, Zhang Y, Garcia JGN, Noth I, Prasse A, Bar-Joseph Z, Gibson KF, Zhao H, Herzog EL, Rosas IO, Maher TM, Kaminski N. Validation of a 52-gene risk profile for outcome prediction in patients with idiopathic pulmonary fibrosis: an international, multicentre, cohort study. The Lancet Respiratory Medicine 2017, 5: 857-868. PMID: 28942086, PMCID: PMC5677538, DOI: 10.1016/s2213-2600(17)30349-1.Peer-Reviewed Original ResearchMeSH KeywordsAgedCohort StudiesFemaleGene Expression ProfilingGenetic MarkersGenetic TestingHumansIdiopathic Pulmonary FibrosisLeukocytes, MononuclearLinear ModelsMaleMiddle AgedOligonucleotide Array Sequence AnalysisPrognosisProportional Hazards ModelsRisk AssessmentRisk FactorsTime FactorsVital CapacityConceptsIdiopathic pulmonary fibrosisTransplant-free survivalRisk profilePulmonary fibrosisAntifibrotic drugsPeripheral blood mononuclear cellsCox proportional hazards modelClinical prediction toolGroup of patientsBlood mononuclear cellsHigh-risk groupProportional hazards modelPulmonary Fibrosis FoundationPittsburgh cohortUntreated patientsCohort studyClinical courseIPF diagnosisBlood InstituteProspective studyVital capacityMononuclear cellsPeripheral bloodUS National InstitutesNational Heart
2015
A functional genomic model for predicting prognosis in idiopathic pulmonary fibrosis
Huang Y, Ma SF, Vij R, Oldham JM, Herazo-Maya J, Broderick SM, Strek ME, White SR, Hogarth DK, Sandbo NK, Lussier YA, Gibson KF, Kaminski N, Garcia JG, Noth I. A functional genomic model for predicting prognosis in idiopathic pulmonary fibrosis. BMC Pulmonary Medicine 2015, 15: 147. PMID: 26589497, PMCID: PMC4654815, DOI: 10.1186/s12890-015-0142-8.Peer-Reviewed Original ResearchConceptsIdiopathic pulmonary fibrosisPrognostic indexIPF patientsPulmonary fibrosisValidation cohortTraining cohortMultivariate Cox regression survival analysisPrognostic modelPeripheral blood mononuclear cellsUnivariate Cox regression analysisCox regression survival analysisLow-risk patientsWeighted gene co-expression network analysisCox regression analysisBlood mononuclear cellsCourse of diseaseIndependent validation cohortRegression survival analysisNovel prognostic modelPredictor genesT cell biologyT cell receptorCurrent prognostic toolsFunctional pathway analysisFold change
2014
Wnt Coreceptor Lrp5 Is a Driver of Idiopathic Pulmonary Fibrosis
Lam AP, Herazo-Maya JD, Sennello JA, Flozak AS, Russell S, Mutlu GM, Budinger GR, DasGupta R, Varga J, Kaminski N, Gottardi CJ. Wnt Coreceptor Lrp5 Is a Driver of Idiopathic Pulmonary Fibrosis. American Journal Of Respiratory And Critical Care Medicine 2014, 190: 185-195. PMID: 24921217, PMCID: PMC4226053, DOI: 10.1164/rccm.201401-0079oc.Peer-Reviewed Original ResearchMeSH KeywordsAgedAnimalsBeta CateninBiomarkersDisease ProgressionFemaleHumansIdiopathic Pulmonary FibrosisLeukocytes, MononuclearLow Density Lipoprotein Receptor-Related Protein-5Low Density Lipoprotein Receptor-Related Protein-6MaleMiceMice, KnockoutMiddle AgedProspective StudiesSeverity of Illness IndexSignal TransductionTransforming Growth Factor betaWnt ProteinsConceptsIdiopathic pulmonary fibrosisPeripheral blood mononuclear cellsBlood mononuclear cellsLung fibrosisPulmonary fibrosisDisease progressionMononuclear cellsDisease severityNull miceAlveolar type 2 cellsTGF-β productionWild-type miceActivation of TGFType 2 cellsWnt pathway inhibitorsWnt/β-catenin signalingWnt coreceptors LRP5Role of LRP5Bone marrow cellsLrp5 lossΒ-catenin signalingPatient selectionSmall molecular inhibitorsAdditional cohortFibrosisThe Mitochondrial Cardiolipin Remodeling Enzyme Lysocardiolipin Acyltransferase Is a Novel Target in Pulmonary Fibrosis
Huang LS, Mathew B, Li H, Zhao Y, Ma SF, Noth I, Reddy SP, Harijith A, Usatyuk PV, Berdyshev EV, Kaminski N, Zhou T, Zhang W, Zhang Y, Rehman J, Kotha SR, Gurney TO, Parinandi NL, Lussier YA, Garcia JG, Natarajan V. The Mitochondrial Cardiolipin Remodeling Enzyme Lysocardiolipin Acyltransferase Is a Novel Target in Pulmonary Fibrosis. American Journal Of Respiratory And Critical Care Medicine 2014, 189: 1402-1415. PMID: 24779708, PMCID: PMC4098083, DOI: 10.1164/rccm.201310-1917oc.Peer-Reviewed Original ResearchMeSH Keywords1-Acylglycerol-3-Phosphate O-AcyltransferaseAcyltransferasesAnimalsBiomarkersCardiolipinsCohort StudiesDisease Models, AnimalHumansIdiopathic Pulmonary FibrosisIn Situ HybridizationLeukocytes, MononuclearMiceMitochondriaPredictive Value of TestsPulmonary FibrosisRNA, MessengerSensitivity and SpecificitySeverity of Illness IndexConceptsPeripheral blood mononuclear cellsIdiopathic pulmonary fibrosisPulmonary fibrosisMurine modelAlveolar epithelial cellsOverall survivalReactive oxygen species generationLysocardiolipin acyltransferaseOxygen species generationCarbon monoxide diffusion capacityRadiation-induced pulmonary fibrosisPulmonary function outcomesEpithelial cellsBlood mononuclear cellsPreclinical murine modelsNovel therapeutic approachesSpecies generationBleomycin challengeLung inflammationLung protectionPulmonary functionFunction outcomesLung fibrosisMononuclear cellsFibrotic lungs
2013
Peripheral Blood Mononuclear Cell Gene Expression Profiles Predict Poor Outcome in Idiopathic Pulmonary Fibrosis
Herazo-Maya JD, Noth I, Duncan SR, Kim S, Ma SF, Tseng GC, Feingold E, Juan-Guardela BM, Richards TJ, Lussier Y, Huang Y, Vij R, Lindell KO, Xue J, Gibson KF, Shapiro SD, Garcia JG, Kaminski N. Peripheral Blood Mononuclear Cell Gene Expression Profiles Predict Poor Outcome in Idiopathic Pulmonary Fibrosis. Science Translational Medicine 2013, 5: 205ra136. PMID: 24089408, PMCID: PMC4175518, DOI: 10.1126/scitranslmed.3005964.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkersCD28 AntigensCD4 AntigensCluster AnalysisCohort StudiesGene Expression ProfilingHumansIdiopathic Pulmonary FibrosisLeukocytes, MononuclearOligonucleotide Array Sequence AnalysisReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionSignal TransductionTreatment OutcomeConceptsTransplant-free survivalIdiopathic pulmonary fibrosisPeripheral blood mononuclear cell gene expression profilesReplication cohortCell gene expression profilesPoor outcomePulmonary fibrosisQuantitative reverse transcription polymerase chain reactionReverse transcription-polymerase chain reactionProportional hazards modelTranscription-polymerase chain reactionGene expression profilesPotential cellular sourcesT cell activationIPF patientsLung transplantationMicroarray cohortPatient ageOutcome biomarkerPatient groupVital capacityPolymerase chain reactionT cellsDiscovery cohortITK expression
2005
Can Blood Gene Expression Predict Which Patients with Multiple Sclerosis Will Respond to Interferon?
Kaminski N, Achiron A. Can Blood Gene Expression Predict Which Patients with Multiple Sclerosis Will Respond to Interferon? PLOS Medicine 2005, 2: e33. PMID: 15736992, PMCID: PMC549584, DOI: 10.1371/journal.pmed.0020033.Peer-Reviewed Original ResearchPeripheral blood mononuclear cell gene expression profiles identify emergent post-traumatic stress disorder among trauma survivors
Segman RH, Shefi N, Goltser-Dubner T, Friedman N, Kaminski N, Shalev AY. Peripheral blood mononuclear cell gene expression profiles identify emergent post-traumatic stress disorder among trauma survivors. Molecular Psychiatry 2005, 10: 500-513. PMID: 15685253, DOI: 10.1038/sj.mp.4001636.Peer-Reviewed Original ResearchMeSH KeywordsAdaptation, PsychologicalAdolescentAdultFollow-Up StudiesGene Expression ProfilingGenetic MarkersHumansLeukocytes, MononuclearLife Change EventsMiddle AgedOligonucleotide Array Sequence AnalysisPredictive Value of TestsSeverity of Illness IndexStress Disorders, Post-TraumaticStress, PsychologicalSurvivorsConceptsGene expression signaturesPeripheral blood mononuclear cell gene expressionExpression signaturesTrauma survivorsPeripheral blood mononuclear cell gene expression profilesTime pointsDSM-IV diagnostic criteriaKey clinical featuresPost-traumatic stress disorder symptomsPost-traumatic stress disorderCell gene expression profilesClinical featuresOutcome predictorsEmergency roomPTSD symptom clustersDevelopment of PTSDPathogenetic implicationsDiagnostic criteriaChronic PTSDDiagnostic utilityEarly symptomsMental disordersNeuropsychiatric disordersSymptom clustersPTSD criteria
2004
Autoimmunity gene expression portrait: specific signature that intersects or differentiates between multiple sclerosis and systemic lupus erythematosus
MANDEL M, GUREVICH M, PAUZNER R, KAMINSKI N, ACHIRON A. Autoimmunity gene expression portrait: specific signature that intersects or differentiates between multiple sclerosis and systemic lupus erythematosus. Clinical & Experimental Immunology 2004, 138: 164-170. PMID: 15373920, PMCID: PMC1809188, DOI: 10.1111/j.1365-2249.2004.02587.x.Peer-Reviewed Original ResearchConceptsSystemic lupus erythematosusPeripheral blood mononuclear cellsMultiple sclerosisHealthy subjectsAutoimmune signatureSLE patientsLupus erythematosusAutoimmune diseasesRelapsing-remitting MS patientsBlood mononuclear cellsMatrix metalloproteinase pathwayAdditional blood samplesDisease-specific signaturesDisease-associated signaturesTIMP1 gene expressionGene expression signaturesMS patientsMononuclear cellsSpecific therapyGene expression findingsMetalloproteinase pathwayNuclear autoantibodiesBlood samplesMMP activityPatientsBlood transcriptional signatures of multiple sclerosis: Unique gene expression of disease activity
Achiron A, Gurevich M, Friedman N, Kaminski N, Mandel M. Blood transcriptional signatures of multiple sclerosis: Unique gene expression of disease activity. Annals Of Neurology 2004, 55: 410-417. PMID: 14991819, DOI: 10.1002/ana.20008.Peer-Reviewed Original ResearchConceptsPeripheral blood mononuclear cellsMultiple sclerosisMS patientsTranscriptional signatureCentral nervous system diseaseBlood transcriptional signaturesBlood mononuclear cellsNervous system diseasesT cell activationAcute relapseDisease activityImmunomodulatory treatmentMS pathogenesisActive demyelinationMononuclear cellsUnpredictable courseImmune surveillanceCellular recruitmentSystem diseasesTherapeutic strategiesDisease processDisease pathogenesisUnique gene expressionSclerosisPatients
2002
Human and porcine early kidney precursors as a new source for transplantation
Dekel B, Burakova T, Arditti FD, Reich-Zeliger S, Milstein O, Aviel-Ronen S, Rechavi G, Friedman N, Kaminski N, Passwell JH, Reisner Y. Human and porcine early kidney precursors as a new source for transplantation. Nature Medicine 2002, 9: 53-60. PMID: 12496960, DOI: 10.1038/nm812.Peer-Reviewed Original ResearchMeSH KeywordsAdultAnimalsCD3 ComplexFetal Tissue TransplantationGene Expression RegulationGestational AgeHumansKidneyKidney TransplantationLeukocytes, MononuclearMiceMice, Inbred BALB CMice, SCIDNeovascularization, PhysiologicOligonucleotide Array Sequence AnalysisOrganogenesisPhylogenyPlatelet Endothelial Cell Adhesion Molecule-1SwineTransplantation, HeterologousUrine