2023
Impaired left-ventricular global longitudinal strain by feature-tracking cardiac MRI predicts mortality in systemic sclerosis
Feher A, Miller E, Peters D, Mojibian H, Sinusas A, Hinchcliff M, Baldassarre L. Impaired left-ventricular global longitudinal strain by feature-tracking cardiac MRI predicts mortality in systemic sclerosis. Rheumatology International 2023, 43: 849-858. PMID: 36894756, DOI: 10.1007/s00296-023-05294-6.Peer-Reviewed Original ResearchConceptsLate gadolinium enhancementLV-GLSSystemic sclerosisWorse survivalClinical indicationsImpaired left ventricular global longitudinal strainLeft ventricular global longitudinal strainPresence of LGECMR strainLV cardiac indexWorse LV-GLSLV ejection fractionCox regression analysisGlobal longitudinal strainLV cardiac outputGlobal radialCardiac indexOverall survivalRetrospective cohortEjection fractionPrognostic valueAdverse outcomesCardiac outputGadolinium enhancementRV strainHyperspectral imaging in systemic sclerosis-associated Raynaud phenomenon
Teaw S, Gupta A, Williams A, Wilson F, Sumpio B, Sumpio B, Hinchcliff M. Hyperspectral imaging in systemic sclerosis-associated Raynaud phenomenon. Arthritis Research & Therapy 2023, 25: 10. PMID: 36670487, PMCID: PMC9854186, DOI: 10.1186/s13075-023-02990-3.Peer-Reviewed Original ResearchConceptsRaynaud's condition scoreCochin Hand Function ScaleSSc patientsClinic settingPatient-reported outcome instrumentsResultsNinety-two percentSystemic sclerosis patientsMann-Whitney U testHealthy control participantsCHF scoreSSc durationSSc-RPDigital ulcersCutaneous SScProvocation challengeRaynaud's phenomenonSclerosis patientsClinical trialsOutcome instrumentsOxygen saturationBurden assessmentPatientsCold provocationHemoglobin concentrationDisease severity
2022
Differences in symptom experience among patients with systemic sclerosis: a cluster analytic approach to identifying subgroups
Murphy SL, Chen YT, Lee YC, Carns M, Aren K, Korman B, Hinchcliff M, Varga J. Differences in symptom experience among patients with systemic sclerosis: a cluster analytic approach to identifying subgroups. Rheumatology 2022, 62: si64-si73. PMID: 35920770, PMCID: PMC9910572, DOI: 10.1093/rheumatology/keac444.Peer-Reviewed Original ResearchConceptsSleep disturbancesSymptom experienceSymptom subgroupsSymptom clustersTreatment approachesSingle US academic medical centerLarge SSc cohortPatient-reported symptomsCo-occurring painUS academic medical centersSymptoms of peopleDistinct symptom clustersAcademic medical centerMain symptom clustersSimilar disease severityDifferent symptom presentationsSSc cohortSSc patientsSystemic sclerosisPain interferencePatient subgroupsModerate symptomsMedical CenterSymptom presentationDisease severity
2021
Heterogeneity of primary and secondary peristalsis in systemic sclerosis: A new model of “scleroderma esophagus”
Carlson DA, Prescott JE, Germond E, Brenner D, Carns M, Correia CS, Tetreault M, McMahan ZH, Hinchcliff M, Kou W, Kahrilas PJ, Perlman HR, Pandolfino JE. Heterogeneity of primary and secondary peristalsis in systemic sclerosis: A new model of “scleroderma esophagus”. Neurogastroenterology & Motility 2021, 34: e14284. PMID: 34709690, PMCID: PMC9046463, DOI: 10.1111/nmo.14284.Peer-Reviewed Original ResearchConceptsHigh-resolution manometryIneffective esophageal motilitySecondary peristalsisSystemic sclerosisFLIP panometryAbsent contractilityContractile responseDistensibility indexFunctional luminal imaging probe (FLIP) panometryEsophagogastric junction distensibility indexPattern of contractilityEGJ-DIScleroderma esophagusEsophageal dysmotilityReflux severitySSc patientsClinical outcomesEsophageal motilityManometric diagnosisPrimary peristalsisMotor abnormalitiesNormal peristalsisEsophageal functionChicago ClassificationPatientsAssociation Between Impaired Myocardial Flow Reserve on 82Rubidium Positron Emission Tomography Imaging and Adverse Events in Patients With Autoimmune Rheumatic Disease
Feher A, Boutagy NE, Oikonomou EK, Liu YH, Miller EJ, Sinusas AJ, Hinchcliff M. Association Between Impaired Myocardial Flow Reserve on 82Rubidium Positron Emission Tomography Imaging and Adverse Events in Patients With Autoimmune Rheumatic Disease. Circulation Cardiovascular Imaging 2021, 14: e012208. PMID: 34503339, PMCID: PMC8475774, DOI: 10.1161/circimaging.120.012208.Peer-Reviewed Original ResearchConceptsAutoimmune rheumatic diseasesMyocardial flow reserveLower myocardial flow reserveCox regression analysisAdverse eventsARDS diagnosisIndependent predictorsRheumatic diseasesPerfusion defectsFlow reserveNormal myocardial flow reserveLeft ventricular ejection fractionEnd pointGlobal myocardial flow reserveImpaired Myocardial Flow ReserveComorbidity-matched patientsSevere coronary calcificationCombined end pointCoronary microvascular dysfunctionHeart failure admissionsComposite end pointEvent-free survivalFramingham risk scoreLarge perfusion defectsRetrospective cohort analysisImpaired Myocardial Flow Reserve on 82Rubidium Positron Emission Tomography/Computed Tomography in Patients With Systemic Sclerosis.
Feher A, Boutagy NE, Oikonomou EK, Thorn S, Liu YH, Miller EJ, Sinusas AJ, Hinchcliff M. Impaired Myocardial Flow Reserve on 82Rubidium Positron Emission Tomography/Computed Tomography in Patients With Systemic Sclerosis. The Journal Of Rheumatology 2021, 48: 1574-1582. PMID: 34266986, PMCID: PMC10275580, DOI: 10.3899/jrheum.210040.Peer-Reviewed Original ResearchConceptsReduced Myocardial Flow ReserveMyocardial flow reserveRaynaud's phenomenonPrimary Raynaud's phenomenonSecondary Raynaud's phenomenonPatient controlsHealthy participantsFlow reservePositron Emission Tomography/Computed TomographyEmission Tomography/Computed TomographyTomography/Computed TomographyPositron emission tomography/Impaired Myocardial Flow ReserveCoronary microvascular dysfunctionLarge prospective studiesMultivariable logistic regressionEmission tomography/PET/CTSSc-RPMicrovascular dysfunctionClinical predictorsIndependent predictorsSystemic sclerosisPrognostic valueProspective studyPredictive Significance of Serum Interferon‐Inducible Protein Score for Response to Treatment in Systemic Sclerosis–Related Interstitial Lung Disease
Assassi S, Li N, Volkmann ER, Mayes MD, Rünger D, Ying J, Roth MD, Hinchcliff M, Khanna D, Frech T, Clements PJ, Furst DE, Goldin J, Bernstein EJ, Castelino FV, Domsic RT, Gordon JK, Hant FN, Shah AA, Shanmugam VK, Steen VD, Elashoff RM, Tashkin DP. Predictive Significance of Serum Interferon‐Inducible Protein Score for Response to Treatment in Systemic Sclerosis–Related Interstitial Lung Disease. Arthritis & Rheumatology 2021, 73: 1005-1013. PMID: 33350170, PMCID: PMC8169525, DOI: 10.1002/art.41627.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBeta 2-MicroglobulinChemokine CCL19Chemokine CCL8Chemokine CXCL10Chemokine CXCL9CyclophosphamideFemaleHumansImmunosuppressive AgentsLung Diseases, InterstitialMaleMethotrexateMiddle AgedMycophenolic AcidObservational Studies as TopicPrognosisRandomized Controlled Trials as TopicReceptors, Tumor Necrosis Factor, Type IIScleroderma, SystemicVital CapacityConceptsInterstitial lung diseaseMycophenolate mofetilPredictive significanceCYC armILD courseMMF armSSc-ILDSystemic sclerosisLung diseaseHigh baseline C-reactive protein levelsTumor necrosis factor receptor type IIBaseline C-reactive protein levelsScleroderma Lung Study IIC-reactive protein levelsGood responseVital capacity percentChemotactic protein-2Receptor type IIActive immunosuppressionClinical predictorsCRP levelsObservational cohortProtein scoreActive treatmentTreatment armsLarge‐Scale Characterization of Systemic Sclerosis Serum Protein Profile: Comparison to Peripheral Blood Cell Transcriptome and Correlations With Skin/Lung Fibrosis
Bellocchi C, Ying J, Goldmuntz EA, Keyes‐Elstein L, Varga J, Hinchcliff ME, Lyons MA, McSweeney P, Furst DE, Nash R, Crofford LJ, Welch B, Goldin JG, Pinckney A, Mayes MD, Sullivan KM, Assassi S. Large‐Scale Characterization of Systemic Sclerosis Serum Protein Profile: Comparison to Peripheral Blood Cell Transcriptome and Correlations With Skin/Lung Fibrosis. Arthritis & Rheumatology 2021, 73: 660-670. PMID: 33131208, PMCID: PMC8005427, DOI: 10.1002/art.41570.Peer-Reviewed Original ResearchConceptsDiffuse cutaneous systemic sclerosisInterstitial lung diseaseSerum protein profilesHealthy control subjectsControl subjectsSex-matched healthy control subjectsRodnan skin thickness scoreSevere interstitial lung diseaseCutaneous systemic sclerosisMean disease durationDiffuse cutaneous SScWhole blood gene expression profilingSkin thickness scoreBlood gene expression profilingPeripheral blood cellsCancer antigen 15Epidermal growth factor receptorSoluble epidermal growth factor receptorSerum proteinsGrowth factor receptorDisease activityDisease durationSystemic sclerosisCutaneous SScImmunosuppressive agentsElectronic health record alerts for acute kidney injury: multicenter, randomized clinical trial
Wilson FP, Martin M, Yamamoto Y, Partridge C, Moreira E, Arora T, Biswas A, Feldman H, Garg AX, Greenberg JH, Hinchcliff M, Latham S, Li F, Lin H, Mansour SG, Moledina DG, Palevsky PM, Parikh CR, Simonov M, Testani J, Ugwuowo U. Electronic health record alerts for acute kidney injury: multicenter, randomized clinical trial. The BMJ 2021, 372: m4786. PMID: 33461986, PMCID: PMC8034420, DOI: 10.1136/bmj.m4786.Peer-Reviewed Original ResearchConceptsAcute kidney injuryElectronic health record alertsKidney injuryPrimary outcomeMedical recordsYale New Haven Health SystemCare practicesGlobal Outcomes creatinine criteriaLarge tertiary care centerComposite of progressionDays of randomizationReceipt of dialysisPrespecified secondary outcomesTertiary care centerPatients' medical recordsSmall community hospitalNon-teaching hospitalsElectronic health recordsCreatinine criteriaUsual careSecondary outcomesAdult inpatientsKidney diseaseClinical centersWorse outcomesThe Association of COVID-19 With Acute Kidney Injury Independent of Severity of Illness: A Multicenter Cohort Study
Moledina DG, Simonov M, Yamamoto Y, Alausa J, Arora T, Biswas A, Cantley LG, Ghazi L, Greenberg JH, Hinchcliff M, Huang C, Mansour SG, Martin M, Peixoto A, Schulz W, Subair L, Testani JM, Ugwuowo U, Young P, Wilson FP. The Association of COVID-19 With Acute Kidney Injury Independent of Severity of Illness: A Multicenter Cohort Study. American Journal Of Kidney Diseases 2021, 77: 490-499.e1. PMID: 33422598, PMCID: PMC7791318, DOI: 10.1053/j.ajkd.2020.12.007.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAgedCohort StudiesCOVID-19C-Reactive ProteinCreatinineDiureticsFemaleHospital MortalityHumansIntensive Care UnitsLength of StayMaleMiddle AgedProportional Hazards ModelsRenal DialysisRenal Insufficiency, ChronicRespiration, ArtificialRisk FactorsSARS-CoV-2Severity of Illness IndexUnited StatesVasoconstrictor AgentsConceptsAcute kidney injurySARS-CoV-2Cohort studyRisk factorsCOVID-19Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testingTime-updated Cox proportional hazards modelsDialysis-requiring acute kidney injuryYale New Haven Health SystemHigher inflammatory marker levelsMore acute kidney injuryCox proportional hazards modelMulticenter cohort studyHigh rateInflammatory marker levelsTraditional risk factorsProportional hazards modelCoronavirus disease 2019KDIGO criteriaNephrotoxin exposureKidney injuryInjury independentUnivariable analysisNasopharyngeal samplesMarker levels
2020
Factors associated with fears due to COVID-19: A Scleroderma Patient-centered Intervention Network (SPIN) COVID-19 cohort study
Wu Y, Kwakkenbos L, Henry R, Carrier M, Gagarine M, Harb S, Bourgeault A, Tao L, Carboni-Jiménez A, Negeri Z, Patten S, Bartlett S, Mouthon L, Varga J, Benedetti A, Thombs B, Advisors F, Fortuné C, Gietzen A, Guillot G, Lewis N, Richard M, Sauvé M, Welling J, Fligelstone K, Gottesman K, Leite C, Pérez E, Investigators S, Baron M, Malcarne V, Mayes M, Nielson W, Riggs R, Assassi S, Ells C, van den Ende C, Frech T, Harel D, Hinchcliff M, Hudson M, Johnson S, Larche M, Nguyen C, Pope J, Rannou F, Reyna T, Schouffoer A, Suarez-Almazor M, Agard C, Albert A, Bernstein E, Berthier S, Bissonnette L, Bruns A, Carreira P, Chaigne B, Chung L, Correia C, Denton C, Domsic R, Dunne J, Dunogue B, Farge-Bancel D, Fortin P, Gordon J, Granel-Rey B, Hatron P, Herrick A, Hoa S, Jones N, de B. Fernandes A, Kafaja S, Khalidi N, Launay D, Manning J, Marie I, Martin M, Mekinian A, Melchor S, Nikpour M, Olagne L, Proudman S, Régent A, Rivière S, Robinson D, Rodriguez E, Roux S, Sobanski V, Steen V, Sutton E, Thorne C, Wilcox P, Ayala M, Carboni-Jiménez A, Gagarine M, Nordlund J, Østbø N, Rice D, Turner K, Culos-Reed N, Dyas L, El-Baalbaki G, Hebblethwaite S, Bustamante L, Duchek D, Ellis K. Factors associated with fears due to COVID-19: A Scleroderma Patient-centered Intervention Network (SPIN) COVID-19 cohort study. Journal Of Psychosomatic Research 2020, 140: 110314. PMID: 33271402, PMCID: PMC7685938, DOI: 10.1016/j.jpsychores.2020.110314.Peer-Reviewed Original ResearchChanges in mental health symptoms from pre-COVID-19 to COVID-19 among participants with systemic sclerosis from four countries: A Scleroderma Patient-centered Intervention Network (SPIN) Cohort study
Thombs B, Kwakkenbos L, Henry R, Carrier M, Patten S, Harb S, Bourgeault A, Tao L, Bartlett S, Mouthon L, Varga J, Benedetti A, Advisors F, Fortuné C, Gietzen A, Guillot G, Lewis N, Richard M, Sauvé M, Welling J, Fligelstone K, Gottesman K, Leite C, Pérez E, Investigators S, Baron M, Malcarne V, Mayes M, Nielson W, Riggs R, Assassi S, Ells C, van den Ende C, Frech T, Harel D, Hinchcliff M, Hudson M, Johnson S, Larche M, Nguyen C, Pope J, Rannou F, Reyna T, Schouffoer A, Suarez-Almazor M, Agard C, Albert A, Bernstein E, Berthier S, Bissonnette L, Bruns A, Carreira P, Chaigne B, Chung L, Correia C, Denton C, Domsic R, Dunne J, Dunogue B, Farge-Bancel D, Fortin P, Gordon J, Granel-Rey B, Hatron P, Herrick A, Hoa S, Jones N, de B. Fernandes A, Kafaja S, Khalidi N, Launay D, Manning J, Marie I, Martin M, Mekinian A, Melchor S, Nikpour M, Olagne L, Proudman S, Régent A, Rivière S, Robinson D, Rodriguez E, Roux S, Sobanski V, Steen V, Sutton E, Thorne C, Wilcox P, Ayala M, Carboni-Jiménez A, Gagarine M, Nordlund J, Østbø N, Rice D, Turner K, Culos-Reed N, Dyas L, El-Baalbaki G, Hebblethwaite S, Bustamante L, Duchek D, Ellis K. Changes in mental health symptoms from pre-COVID-19 to COVID-19 among participants with systemic sclerosis from four countries: A Scleroderma Patient-centered Intervention Network (SPIN) Cohort study. Journal Of Psychosomatic Research 2020, 139: 110262. PMID: 33070043, PMCID: PMC7532799, DOI: 10.1016/j.jpsychores.2020.110262.Peer-Reviewed Original ResearchPerformance Characteristics of Pulmonary Function Tests for the Detection of Interstitial Lung Disease in Adults With Early Diffuse Cutaneous Systemic Sclerosis
Bernstein EJ, Jaafar S, Assassi S, Domsic RT, Frech TM, Gordon JK, Broderick RJ, Hant FN, Hinchcliff ME, Shah AA, Shanmugam VK, Steen VD, Khanna D. Performance Characteristics of Pulmonary Function Tests for the Detection of Interstitial Lung Disease in Adults With Early Diffuse Cutaneous Systemic Sclerosis. Arthritis & Rheumatology 2020, 72: 1892-1896. PMID: 32583956, PMCID: PMC7722107, DOI: 10.1002/art.41415.Peer-Reviewed Original ResearchConceptsDetection of ILDPulmonary function testsInterstitial lung diseaseDiffuse cutaneous SScEarly diffuse cutaneous systemic sclerosisDiffuse cutaneous systemic sclerosisNegative predictive valueCutaneous systemic sclerosisSystemic sclerosisFunction testsLung diseaseDevelopment of ILDDiagnosis of ILDEarly diffuse cutaneous SScRadiographic interstitial lung diseaseInadequate screening toolsEarly systemic sclerosisRetrospective cohort studyCause of deathProspective registrySSc cohortCohort studyVital capacityHRCT imagingHigh riskProfibrotic Activation of Human Macrophages in Systemic Sclerosis
Bhandari R, Ball MS, Martyanov V, Popovich D, Schaafsma E, Han S, ElTanbouly M, Orzechowski NM, Carns M, Arroyo E, Aren K, Hinchcliff M, Whitfield ML, Pioli PA. Profibrotic Activation of Human Macrophages in Systemic Sclerosis. Arthritis & Rheumatology 2020, 72: 1160-1169. PMID: 32134204, PMCID: PMC7329566, DOI: 10.1002/art.41243.Peer-Reviewed Original ResearchMeSH KeywordsAdultAntigens, CDAntigens, Differentiation, MyelomonocyticCell DifferentiationChemokine CCL2Coculture TechniquesFemaleFibroblastsFibrosisHLA-DR AntigensHumansImmunophenotypingInterleukin-6Lectins, C-TypeLeukocytes, MononuclearMacrophage ActivationMacrophagesMaleMannose ReceptorMannose-Binding LectinsMiddle AgedMonocytesPhosphorylationReceptor, Transforming Growth Factor-beta Type IReceptor, Transforming Growth Factor-beta Type IIReceptors, Cell SurfaceRNA, MessengerScleroderma, SystemicSkinSTAT3 Transcription FactorTranscriptomeTransforming Growth Factor betaConceptsPeripheral blood mononuclear cellsSystemic sclerosisSSc patientsBasal conditionsSex-matched healthy controlsSSc fibroblastsSurface markersHealthy donor monocytesBlood mononuclear cellsMediator of fibrosisInflammatory macrophage activationMonocyte-derived macrophagesActivation profilesGrowth factor βFibrotic activationGene expression signaturesDonor monocytesMononuclear cellsProfibrotic activationSkin fibrosisInterleukin-6Healthy controlsSSc skinIndependent cohortMacrophage activationHigh-throughput quantitative histology in systemic sclerosis skin disease using computer vision
Correia C, Mawe S, Lofgren S, Marangoni RG, Lee J, Saber R, Aren K, Cheng M, Teaw S, Hoffmann A, Goldberg I, Cowper SE, Khatri P, Hinchcliff M, Mahoney JM. High-throughput quantitative histology in systemic sclerosis skin disease using computer vision. Arthritis Research & Therapy 2020, 22: 48. PMID: 32171325, PMCID: PMC7071594, DOI: 10.1186/s13075-020-2127-0.Peer-Reviewed Original ResearchConceptsSystemic sclerosisFibrosis scoreQuantitative image featuresBiopsy scorePrimary cohortOutcome measuresSecondary cohortDiagnostic scoreSkin severity scoreSSc clinical trialsRodnan skin scoreLogistic regression modelsControl biopsiesRegression modelsSkin scoreSeverity scoreClinical hallmarkClinical trialsForearm biopsiesSSc skinBiopsy sectionsIndependent cohortPatient basisSSc biopsiesCollagen deposition
2019
Global skin gene expression analysis of early diffuse cutaneous systemic sclerosis shows a prominent innate and adaptive inflammatory profile
Skaug B, Khanna D, Swindell WR, Hinchcliff ME, Frech TM, Steen VD, Hant FN, Gordon JK, Shah AA, Zhu L, Zheng WJ, Browning JL, Barron AMS, Wu M, Visvanathan S, Baum P, Franks JM, Whitfield ML, Shanmugam VK, Domsic RT, Castelino FV, Bernstein EJ, Wareing N, Lyons MA, Ying J, Charles J, Mayes MD, Assassi S. Global skin gene expression analysis of early diffuse cutaneous systemic sclerosis shows a prominent innate and adaptive inflammatory profile. Annals Of The Rheumatic Diseases 2019, 79: annrheumdis-2019-215894. PMID: 31767698, PMCID: PMC7386329, DOI: 10.1136/annrheumdis-2019-215894.Peer-Reviewed Original ResearchConceptsImmune cell signaturesEarly diffuse systemic sclerosisDiffuse systemic sclerosisLonger disease durationSystemic sclerosisDisease durationCell signatureSSc patientsT cellsEarly diffuse cutaneous systemic sclerosisScleroderma Outcome Study cohortDiffuse cutaneous systemic sclerosisShorter disease durationCutaneous systemic sclerosisRodnan skin scoreCD8 T cellsB cell signaturesCD4 T cellsSystemic sclerosis cohortImmune cell markersClinical trial designDiffuse SSc patientsBiopsy RNAProspective registryClinical courseMyeloablation followed by autologous stem cell transplantation normalises systemic sclerosis molecular signatures
Assassi S, Wang X, Chen G, Goldmuntz E, Keyes-Elstein L, Ying J, Wallace PK, Turner J, Zheng WJ, Pascual V, Varga J, Hinchcliff ME, Bellocchi C, McSweeney P, Furst DE, Nash RA, Crofford LJ, Welch B, Pinckney A, Mayes MD, Sullivan KM. Myeloablation followed by autologous stem cell transplantation normalises systemic sclerosis molecular signatures. Annals Of The Rheumatic Diseases 2019, 78: 1371-1378. PMID: 31391177, PMCID: PMC7167108, DOI: 10.1136/annrheumdis-2019-215770.Peer-Reviewed Original ResearchMeSH KeywordsAdultCyclophosphamideDown-RegulationFemaleHematopoietic Stem Cell TransplantationHumansInterferonsMaleMiddle AgedMultilevel AnalysisMyeloablative AgonistsNeutrophilsRandomized Controlled Trials as TopicScleroderma, SystemicTranscriptomeTransplantation ConditioningTransplantation, AutologousTreatment OutcomeUp-RegulationConceptsHaematopoietic stem cell transplantationStem cell transplantationSystemic sclerosisNeutrophil modulesCell transplantationAutologous stem cell transplantationMolecular signaturesImproved clinical outcomesSerum protein levelsDisease-related molecular signaturesCYC armMonths postrandomisationBaseline visitSkin scoreClinical outcomesCyclophosphamide treatmentVital capacityPretreatment baselineSignificant changesControl armBlood transcriptsWhole blood transcriptsConventional treatmentInterferonBaseline samplesSingle-Cell Transcriptomic Analysis of Human Lung Provides Insights into the Pathobiology of Pulmonary Fibrosis
Reyfman PA, Walter JM, Joshi N, Anekalla KR, McQuattie-Pimentel AC, Chiu S, Fernandez R, Akbarpour M, Chen CI, Ren Z, Verma R, Abdala-Valencia H, Nam K, Chi M, Han S, Gonzalez-Gonzalez FJ, Soberanes S, Watanabe S, Williams KJN, Flozak AS, Nicholson TT, Morgan VK, Winter DR, Hinchcliff M, Hrusch CL, Guzy RD, Bonham CA, Sperling AI, Bag R, Hamanaka RB, Mutlu GM, Yeldandi AV, Marshall SA, Shilatifard A, Amaral LAN, Perlman H, Sznajder JI, Argento AC, Gillespie CT, Dematte J, Jain M, Singer BD, Ridge KM, Lam AP, Bharat A, Bhorade SM, Gottardi CJ, Budinger GRS, Misharin AV. Single-Cell Transcriptomic Analysis of Human Lung Provides Insights into the Pathobiology of Pulmonary Fibrosis. American Journal Of Respiratory And Critical Care Medicine 2019, 199: 1517-1536. PMID: 30554520, PMCID: PMC6580683, DOI: 10.1164/rccm.201712-2410oc.Peer-Reviewed Original ResearchConceptsSingle-cell RNA sequencingRNA sequencingPulmonary fibrosisAlveolar macrophagesLung tissueSingle-cell transcriptomic analysisEpithelial cellsCell populationsNext-generation sequencing technologiesSingle-cell atlasHuman lungDiverse cell populationsExpression of genesRare cell populationsPulmonary fibrosis pathogenesisIdiopathic pulmonary fibrosisAirway stem cellsIndividual cell populationsTranscriptomic analysisSequencing technologiesWnt secretionRNA hybridizationSenescent cellsTransplant donorsDiscovery-based approachIncreased 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
Risk Factors for Mortality and Cardiopulmonary Hospitalization in Systemic Sclerosis Patients At Risk for Pulmonary Hypertension, in the PHAROS Registry
Hsu VM, Chung L, Hummers LK, Shah A, Simms R, Bolster M, Hant FN, Silver RM, Fischer A, Hinchcliff ME, Varga J, Goldberg AZ, Derk CT, Schiopu E, Khanna D, Shapiro LS, Domsic RT, Medsger T, Mayes MD, Furst D, Csuka ME, Molitor JA, Saketkoo LA, Salazar CR, Steen VD. Risk Factors for Mortality and Cardiopulmonary Hospitalization in Systemic Sclerosis Patients At Risk for Pulmonary Hypertension, in the PHAROS Registry. The Journal Of Rheumatology 2018, 46: 176-183. PMID: 30275260, DOI: 10.3899/jrheum.180018.Peer-Reviewed Original ResearchConceptsExercise oxygen desaturationPulmonary hypertensionCardiopulmonary hospitalizationsPericardial effusionSystemic sclerosisOxygen desaturationMale sexRisk factorsSSc-pulmonary arterial hypertensionSystolic pulmonary arterial pressurePredictors of hospitalizationRight heart catheterizationPredictors of mortalityProspective cohort studyPulmonary arterial pressurePulmonary function testingSystemic sclerosis patientsBaseline clinical measuresProportional hazards modelPH patientsArterial hypertensionDyspnea scoreHeart catheterizationCohort studyDisease duration