Featured Publications
A novel pathway-based distance score enhances assessment of disease heterogeneity in gene expression
Yan X, Liang A, Gomez J, Cohn L, Zhao H, Chupp GL. A novel pathway-based distance score enhances assessment of disease heterogeneity in gene expression. BMC Bioinformatics 2017, 18: 309. PMID: 28637421, PMCID: PMC5480187, DOI: 10.1186/s12859-017-1727-4.Peer-Reviewed Original ResearchNoninvasive Analysis of the Sputum Transcriptome Discriminates Clinical Phenotypes of Asthma
Yan X, Chu JH, Gomez J, Koenigs M, Holm C, He X, Perez MF, Zhao H, Mane S, Martinez FD, Ober C, Nicolae DL, Barnes KC, London SJ, Gilliland F, Weiss ST, Raby BA, Cohn L, Chupp GL. Noninvasive Analysis of the Sputum Transcriptome Discriminates Clinical Phenotypes of Asthma. American Journal Of Respiratory And Critical Care Medicine 2015, 191: 1116-1125. PMID: 25763605, PMCID: PMC4451618, DOI: 10.1164/rccm.201408-1440oc.Peer-Reviewed Original ResearchConceptsHistory of intubationNitric oxide levelsOxide levelsClinical phenotypeMost subjectsHigher bronchodilator responseNormal lung functionBlood of patientsCohort of childrenLogistic regression analysisSputum gene expressionBlood of childrenAirway transcriptomeMilder asthmaPathophysiologic heterogeneityPrebronchodilator FEV1Steroid requirementsLung functionBronchodilator responseGene expressionPhenotype of diseaseAsthmaBlood samplesGene signatureIntubation
2023
Sputum alarmins delineate distinct T2 cytokine pathways and unique subtypes of patients with asthma
Gautam S, Chu J, Cohen A, Kaur R, Lee S, Wilson G, Liu Q, Gomez J, Rajaveen H, Yan X, Cohn L, Clark B, Chupp G. Sputum alarmins delineate distinct T2 cytokine pathways and unique subtypes of patients with asthma. Allergy 2023, 78: 3274-3277. PMID: 37874609, PMCID: PMC10842366, DOI: 10.1111/all.15915.Peer-Reviewed Original ResearchDifferences in Mortality Among Patients With Asthma and COPD Hospitalized With COVID-19
Liu Y, Rajeevan H, Simonov M, Lee S, Wilson F, Desir G, Vinetz J, Yan X, Wang Z, Clark B, Possick J, Price C, Lutchmansingh D, Ortega H, Zaeh S, Gomez J, Cohn L, Gautam S, Chupp G. Differences in Mortality Among Patients With Asthma and COPD Hospitalized With COVID-19. The Journal Of Allergy And Clinical Immunology In Practice 2023, 11: 3383-3390.e3. PMID: 37454926, PMCID: PMC10787810, DOI: 10.1016/j.jaip.2023.07.006.Peer-Reviewed Original ResearchConceptsChronic obstructive pulmonary diseaseType 2 inflammationCOVID-19 severitySOFA scoreAirway diseaseNoneosinophilic asthmaSequential Organ Failure Assessment scoreOrgan Failure Assessment scoreSevere coronavirus disease 2019Higher SOFA scoreMedian SOFA scoreRetrospective cohort studyObstructive pulmonary diseaseOdds of mortalityLower SOFA scoresCells/μLCOVID-19 outcomesCoronavirus disease 2019Logistic regression analysisCOVID-19Clinical confoundersAsthma patientsCohort studyImmunological factorsClinical features
2021
Single-cell characterization of a model of poly I:C-stimulated peripheral blood mononuclear cells in severe asthma
Chen A, Diaz-Soto MP, Sanmamed MF, Adams T, Schupp JC, Gupta A, Britto C, Sauler M, Yan X, Liu Q, Nino G, Cruz CSD, Chupp GL, Gomez JL. Single-cell characterization of a model of poly I:C-stimulated peripheral blood mononuclear cells in severe asthma. Respiratory Research 2021, 22: 122. PMID: 33902571, PMCID: PMC8074196, DOI: 10.1186/s12931-021-01709-9.Peer-Reviewed Original ResearchConceptsPeripheral blood mononuclear cellsSevere asthmaEffector T cellsBlood mononuclear cellsT cellsHealthy controlsPoly IDendritic cellsMononuclear cellsUnstimulated peripheral blood mononuclear cellsInterferon responseTLR3 agonist poly IImpaired interferon responseMain cell subsetsNatural killer cellsPro-inflammatory profilePro-inflammatory pathwaysC stimulationCyTOF profilingHigh CD8Cell typesEffector cellsKiller cellsCell subsetsMain cell types
2020
Latent-space embedding of expression data identifies gene signatures from sputum samples of asthmatic patients
Lou S, Li T, Spakowicz D, Yan X, Chupp GL, Gerstein M. Latent-space embedding of expression data identifies gene signatures from sputum samples of asthmatic patients. BMC Bioinformatics 2020, 21: 457. PMID: 33059594, PMCID: PMC7560063, DOI: 10.1186/s12859-020-03785-y.Peer-Reviewed Original ResearchApproaches for integrating heterogeneous RNA-seq data reveal cross-talk between microbes and genes in asthmatic patients
Spakowicz D, Lou S, Barron B, Gomez JL, Li T, Liu Q, Grant N, Yan X, Hoyd R, Weinstock G, Chupp GL, Gerstein M. Approaches for integrating heterogeneous RNA-seq data reveal cross-talk between microbes and genes in asthmatic patients. Genome Biology 2020, 21: 150. PMID: 32571363, PMCID: PMC7310008, DOI: 10.1186/s13059-020-02033-z.Peer-Reviewed Original ResearchA Network of Sputum MicroRNAs is Associated with Neutrophilic Airway Inflammation in Asthma
Gomez JL, Chen A, Diaz MP, Zirn N, Gupta A, Britto C, Sauler M, Yan X, Stewart E, Santerian K, Grant N, Liu Q, Fry R, Rager J, Cohn L, Alexis N, Chupp GL. A Network of Sputum MicroRNAs is Associated with Neutrophilic Airway Inflammation in Asthma. American Journal Of Respiratory And Critical Care Medicine 2020, 0: 51-64. PMID: 32255668, PMCID: PMC7328332, DOI: 10.1164/rccm.201912-2360oc.Peer-Reviewed Original ResearchConceptsEndoplasmic reticulum stressAirway inflammationNeutrophil countClinical featuresT-helper cell type 17Neutrophilic airway inflammationReticulum stressSputum of subjectsLung function impairmentHistory of hospitalizationNumber of neutrophilsPeripheral blood neutrophilsSputum of patientsMicroRNA expressionAsthma severityTh17 pathwayFunction impairmentAirway samplesMicroRNA networkBlood neutrophilsOzone exposureAsthmaSputumCellular sourceClinical phenotype
2017
Characterisation of asthma subgroups associated with circulating YKL-40 levels
Gomez JL, Yan X, Holm CT, Grant N, Liu Q, Cohn L, Nezgovorova V, Meyers DA, Bleecker ER, Crisafi GM, Jarjour NN, Rogers L, Reibman J, Chupp GL. Characterisation of asthma subgroups associated with circulating YKL-40 levels. European Respiratory Journal 2017, 50: 1700800. PMID: 29025889, PMCID: PMC5967238, DOI: 10.1183/13993003.00800-2017.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge of OnsetAirway ObstructionAsthmaChitinase-3-Like Protein 1Cluster AnalysisCross-Sectional StudiesDisease ProgressionFemaleGene Expression ProfilingHumansInflammationMaleMiddle AgedReproducibility of ResultsRespiratory SystemSeverity of Illness IndexSputumStatistics as TopicSymptom Flare UpConceptsSerum YKL-40 levelsYKL-40 levelsHigher serum YKL-40 levelsAirflow obstructionAsthma phenotypesElevated serum YKL-40 levelsSevere Asthma Research ProgramClinical asthma phenotypesExacerbation-prone asthmaIrreversible airway obstructionSevere airflow obstructionFrequent exacerbationsSevere exacerbationsAirway inflammationAirway obstructionAsthma exacerbationsAirway diseaseAsthma patientsAsthma severitySerum levelsInflammatory pathwaysAsthma subgroupsAdult onsetIdentification of individualsUnsupervised cluster analysis