2023
Distinguishing features of long COVID identified through immune profiling
Klein J, Wood J, Jaycox J, Dhodapkar R, Lu P, Gehlhausen J, Tabachnikova A, Greene K, Tabacof L, Malik A, Silva Monteiro V, Silva J, Kamath K, Zhang M, Dhal A, Ott I, Valle G, Peña-Hernández M, Mao T, Bhattacharjee B, Takahashi T, Lucas C, Song E, McCarthy D, Breyman E, Tosto-Mancuso J, Dai Y, Perotti E, Akduman K, Tzeng T, Xu L, Geraghty A, Monje M, Yildirim I, Shon J, Medzhitov R, Lutchmansingh D, Possick J, Kaminski N, Omer S, Krumholz H, Guan L, Dela Cruz C, van Dijk D, Ring A, Putrino D, Iwasaki A. Distinguishing features of long COVID identified through immune profiling. Nature 2023, 623: 139-148. PMID: 37748514, PMCID: PMC10620090, DOI: 10.1038/s41586-023-06651-y.Peer-Reviewed Original ResearchConceptsLong COVIDSARS-CoV-2Infection syndromeExaggerated humoral responseSoluble immune mediatorsEpstein-Barr virusPost-exertional malaiseCross-sectional studyHigher antibody responseImmune mediatorsImmune phenotypingImmune profilingHumoral responseAntibody responseLymphocyte populationsCOVID statusUnbiased machineCortisol levelsLC statusRelevant biomarkersViral pathogensSyndromeCOVIDFuture studiesBiological featuresNasal host response-based screening for undiagnosed respiratory viruses: a pathogen surveillance and detection study
Cheemarla N, Hanron A, Fauver J, Bishai J, Watkins T, Brito A, Zhao D, Alpert T, Vogels C, Ko A, Schulz W, Landry M, Grubaugh N, van Dijk D, Foxman E. Nasal host response-based screening for undiagnosed respiratory viruses: a pathogen surveillance and detection study. The Lancet Microbe 2023, 4: e38-e46. PMID: 36586415, PMCID: PMC9835789, DOI: 10.1016/s2666-5247(22)00296-8.Peer-Reviewed Original ResearchConceptsRespiratory virus panelPg/mLCXCL10 concentrationsSARS-CoV-2Bacterial pathobiontsRespiratory virusesSARS-CoV-2 negative samplesViral respiratory infectionsSARS-CoV-2 positive samplesClinical virology laboratoryHealth care systemVirus-positive samplesQuantitative RT-PCRInfluenza C virusSymptomatic patientsRespiratory infectionsSeasonal coronavirusesNasopharyngeal swabsVirus panelC virusCommon virusesCXCL10Host responseInterferon responseVirology laboratory
2021
Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks
Sehanobish A, Ravindra N, Van Dijk D. Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks. Proceedings Of The AAAI Conference On Artificial Intelligence 2021, 35: 4864-4873. DOI: 10.1609/aaai.v35i6.16619.Peer-Reviewed Original ResearchSARS-CoV-2 infectionSingle-cell omics dataCOVID-19 severitySingle-cell RNA sequencing datasetsCell typesRNA sequencing datasetsSARS-CoV-2Transcriptomic patternsSequencing datasetsOmics dataCellular determinantsCellular understandingIndividual cellsBronchoalveolar lavage fluid samplesInfected cellsSevere COVID-19Lavage fluid samplesCOVID-19Lung organoidsDisease statesInfectionTranscriptomeCellsSeverityFluid samplesSingle-cell longitudinal analysis of SARS-CoV-2 infection in human airway epithelium identifies target cells, alterations in gene expression, and cell state changes
Ravindra NG, Alfajaro MM, Gasque V, Huston NC, Wan H, Szigeti-Buck K, Yasumoto Y, Greaney AM, Habet V, Chow RD, Chen JS, Wei J, Filler RB, Wang B, Wang G, Niklason LE, Montgomery RR, Eisenbarth SC, Chen S, Williams A, Iwasaki A, Horvath TL, Foxman EF, Pierce RW, Pyle AM, van Dijk D, Wilen CB. Single-cell longitudinal analysis of SARS-CoV-2 infection in human airway epithelium identifies target cells, alterations in gene expression, and cell state changes. PLOS Biology 2021, 19: e3001143. PMID: 33730024, PMCID: PMC8007021, DOI: 10.1371/journal.pbio.3001143.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 infectionSARS-CoV-2Human bronchial epithelial cellsInterferon-stimulated genesCell state changesAcute respiratory syndrome coronavirus 2 infectionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectionSyndrome coronavirus 2 infectionCell tropismCoronavirus 2 infectionCoronavirus disease 2019Onset of infectionCell-intrinsic expressionCourse of infectionAir-liquid interface culturesHost-viral interactionsBronchial epithelial cellsSingle-cell RNA sequencingCell typesIL-1Disease 2019Human airwaysDevelopment of therapeuticsDrug AdministrationViral replicationNeuroinvasion of SARS-CoV-2 in human and mouse brain
Song E, Zhang C, Israelow B, Lu-Culligan A, Prado AV, Skriabine S, Lu P, Weizman OE, Liu F, Dai Y, Szigeti-Buck K, Yasumoto Y, Wang G, Castaldi C, Heltke J, Ng E, Wheeler J, Alfajaro MM, Levavasseur E, Fontes B, Ravindra NG, Van Dijk D, Mane S, Gunel M, Ring A, Kazmi SAJ, Zhang K, Wilen CB, Horvath TL, Plu I, Haik S, Thomas JL, Louvi A, Farhadian SF, Huttner A, Seilhean D, Renier N, Bilguvar K, Iwasaki A. Neuroinvasion of SARS-CoV-2 in human and mouse brain. Journal Of Experimental Medicine 2021, 218: e20202135. PMID: 33433624, PMCID: PMC7808299, DOI: 10.1084/jem.20202135.Peer-Reviewed Original ResearchConceptsSARS-CoV-2Central nervous systemSARS-CoV-2 neuroinvasionImmune cell infiltratesCOVID-19 patientsType I interferon responseMultiple organ systemsCOVID-19I interferon responseHuman brain organoidsNeuroinvasive capacityCNS infectionsCell infiltrateNeuronal infectionPathological featuresCortical neuronsRespiratory diseaseDirect infectionCerebrospinal fluidNervous systemMouse brainInterferon responseOrgan systemsHuman ACE2Infection
2020
Genome-wide CRISPR Screens Reveal Host Factors Critical for SARS-CoV-2 Infection
Wei J, Alfajaro MM, DeWeirdt PC, Hanna RE, Lu-Culligan WJ, Cai WL, Strine MS, Zhang SM, Graziano VR, Schmitz CO, Chen JS, Mankowski MC, Filler RB, Ravindra NG, Gasque V, de Miguel FJ, Patil A, Chen H, Oguntuyo KY, Abriola L, Surovtseva YV, Orchard RC, Lee B, Lindenbach BD, Politi K, van Dijk D, Kadoch C, Simon MD, Yan Q, Doench JG, Wilen CB. Genome-wide CRISPR Screens Reveal Host Factors Critical for SARS-CoV-2 Infection. Cell 2020, 184: 76-91.e13. PMID: 33147444, PMCID: PMC7574718, DOI: 10.1016/j.cell.2020.10.028.Peer-Reviewed Original ResearchMeSH KeywordsAngiotensin-Converting Enzyme 2AnimalsCell LineChlorocebus aethiopsClustered Regularly Interspaced Short Palindromic RepeatsCoronavirusCoronavirus InfectionsCOVID-19Gene Knockout TechniquesGene Regulatory NetworksGenome-Wide Association StudyHEK293 CellsHMGB1 ProteinHost-Pathogen InteractionsHumansSARS-CoV-2Vero CellsVirus InternalizationConceptsSARS-CoV-2 infectionSARS-CoV-2Vesicular stomatitis virusGenome-wide CRISPR screenSWI/SNF chromatinSARS-CoV-2 host factorsAcute respiratory syndrome coronavirus 2 infectionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectionTherapeutic targetHost factorsCoronavirus disease 2019 (COVID-19) pathogenesisSyndrome coronavirus 2 infectionCRISPR screensHost genesGene productsMiddle East respiratory syndrome CoVCoronavirus 2 infectionGenetic hitsHuman cellsSARS-CoV-2 spikeNovel therapeutic targetPotential therapeutic targetVero E6 cellsSARS-CoV-1Small molecule antagonistsPatient factors associated with SARS‐CoV‐2 in an admitted emergency department population
Haimovich A, Warner F, Young HP, Ravindra NG, Sehanobish A, Gong G, Wilson FP, van Dijk D, Schulz W, Taylor R. Patient factors associated with SARS‐CoV‐2 in an admitted emergency department population. Journal Of The American College Of Emergency Physicians Open 2020, 1: 569-577. PMID: 32838371, PMCID: PMC7280703, DOI: 10.1002/emp2.12145.Peer-Reviewed Original ResearchCOVID-19 positive patientsPatient characteristicsPatient factorsCOVID-19Positive COVID-19 testMultivariable logistic regression modelLow pulse oximetryChronic lung diseaseRetrospective observational studyCOVID-19 test resultsEmergency department patientsPrimary outcome measureEmergency department populationLower leukocyte countsPositive COVID-19 resultHistory of alcoholPositive test resultsSARS-CoV-2 virusSARS-CoV-2COVID-19 testingLogistic regression modelsCOVID-19 testCOVID-19 resultsED cohortNegative patients