2025
Environmental impacts on childhood rhinitis: The role of green spaces, air pollutants, and indoor microbial communities in Taiyuan, a city in Northern China
Yang L, Gao H, Wang Y, Norbäck D, Zhao Z, Fu X, Sun Y, Zhang X. Environmental impacts on childhood rhinitis: The role of green spaces, air pollutants, and indoor microbial communities in Taiyuan, a city in Northern China. Ecotoxicology And Environmental Safety 2025, 289: 117662. PMID: 39756177, DOI: 10.1016/j.ecoenv.2024.117662.Peer-Reviewed Original ResearchConceptsAir pollutionGreen spacesEnhanced vegetation indexNormalized Difference Vegetation IndexIndoor microbiomeLevels of air pollutionAmbient air pollutionDay care centersCurrent rhinitisLand cover dataNorthern city of ChinaIndoor microbial communitiesVegetation indexBacterial 16S rRNASurrounding green spaceAssociated with current rhinitisCare centerGrassland proportionEnvironmental factorsNatural grasslandsInfluence respiratory healthAmplicon sequencingEnvironmental impactPollutionDifference Vegetation Index
2024
Nasal, dermal, oral and indoor dust microbe and their interrelationship in children with allergic rhinitis
Tang H, Du S, Niu Z, Zhang D, Tang Z, Chen H, Chen Z, Zhang M, Xu Y, Sun Y, Fu X, Norback D, Shao J, Zhao Z. Nasal, dermal, oral and indoor dust microbe and their interrelationship in children with allergic rhinitis. BMC Microbiology 2024, 24: 505. PMID: 39614169, PMCID: PMC11606197, DOI: 10.1186/s12866-024-03668-9.Peer-Reviewed Original ResearchConceptsSpecies levelBacterial speciesAR childrenNasal cavityMethodsIn this case–control studyBody sitesControl groupBacterial diversityCase-control studyB-diversityOral swab samplesS. epidermidisStaphylococcus epidermidisStaphylococcus aureusBacterial characterizationMicrobesAllergic rhinitisSpeciesHealthy subjectsBackgroundAllergic rhinitisSwab samplesHealthy onesConclusionsOur studyMicroorganismsRhinitisA deployable film method to enable replicable sampling of low-abundance environmental microbiomes
Mankiewicz Ledins P, Lin E, Bhattacharya C, Pollitt K, Dyson A, Hénaff E. A deployable film method to enable replicable sampling of low-abundance environmental microbiomes. Scientific Reports 2024, 14: 23857. PMID: 39394219, PMCID: PMC11470061, DOI: 10.1038/s41598-024-72341-y.Peer-Reviewed Original ResearchConceptsHuman healthPotential human health impactsHuman health impactsNegative long-term impactEnvironmental microbiomesTime indoorsEnvironmental nucleic acidsExposure studiesSequencing-based analysisChronic exposureHealth impactsHigher DNA yieldLong-term impactLow abundanceMicrobiome abundanceIndoor microbiome exposureSamplerMicrobiome samplesAbundanceIndoor microbiomeDNA yieldExtraction kitMicrobiomeSampling strategyGlobal populationLubricating gel influence on vaginal microbiome sampling
Amitai Komem D, Hadar R, Paulson J, Mordechai Y, Eskandarian H, Efroni G, Amir A, Haberman Y, Tsur A. Lubricating gel influence on vaginal microbiome sampling. Scientific Reports 2024, 14: 18223. PMID: 39107405, PMCID: PMC11303677, DOI: 10.1038/s41598-024-68948-w.Peer-Reviewed Original ResearchConceptsMicrobial compositionVaginal samplesVaginal microbiome samplesBeta diversityVaginal microbiome studiesMicrobiome studiesMicrobiome samplesTaxa abundanceGynecological examinationPregnant womenLubricant gelReduce painMicrobial dataGel exposureEmergency roomSterile swabsEffect of gelMicrobial analysisAutoimmunity and the microbiome
Cox L, Kuchroo V. Autoimmunity and the microbiome. Immunological Reviews 2024, 325: 4-8. PMID: 38980198, DOI: 10.1111/imr.13363.Peer-Reviewed Original ResearchLongitudinal multicompartment characterization of host-microbiota interactions in patients with acute respiratory failure
Kitsios G, Sayed K, Fitch A, Yang H, Britton N, Shah F, Bain W, Evankovich J, Qin S, Wang X, Li K, Patel A, Zhang Y, Radder J, Dela Cruz C, Okin D, Huang C, Van Tyne D, Benos P, Methé B, Lai P, Morris A, McVerry B. Longitudinal multicompartment characterization of host-microbiota interactions in patients with acute respiratory failure. Nature Communications 2024, 15: 4708. PMID: 38830853, PMCID: PMC11148165, DOI: 10.1038/s41467-024-48819-8.Peer-Reviewed Original ResearchConceptsAcute respiratory failureRespiratory failureCohort of COVID-19 patientsLung microbiotaMechanically ventilated patientsChronic obstructive pulmonary diseaseIllumina amplicon sequencingDNA sequencing technologiesHost-microbiota interactionsObstructive pulmonary diseaseCOVID-19 patientsAssociated with specific patternsAntibiotic exposureClinical factorsNanopore metagenomicsPredicting survivalPrecision medicine interventionsPrognostic biomarkerSequencing technologiesAmplicon sequencingPulmonary diseaseGut microbiotaCritical illnessMicrobial diversityHuman microbiomeImmunological and microbial shifts in the aging rhesus macaque lung during nontuberculous mycobacterial infection
Cinco I, Napier E, Rhoades N, Davies M, Allison D, Kohama S, Bermudez L, Winthrop K, Fuss C, Spindel E, Messaoudi I. Immunological and microbial shifts in the aging rhesus macaque lung during nontuberculous mycobacterial infection. MBio 2024, 15: e00829-24. PMID: 38771046, PMCID: PMC11237422, DOI: 10.1128/mbio.00829-24.Peer-Reviewed Original ResearchConceptsNTM pulmonary diseaseIncreased disease severityNontuberculous mycobacteriaDisease severityBacterial DNAAged animalsAntigen-specific T cellsPulmonary diseaseAssociated with increased disease severityDysregulated macrophage responsePersistence of bacterial DNALack of animal modelsRhesus macaquesSingle-cell RNA sequencingNontuberculous mycobacterial infectionsImmune cell infiltrationRhesus macaque modelBacterial loadAged rhesus macaquesTesting novel therapeuticsRight caudal lobeLower respiratory microbiomeYears of ageMAH infectionMicrobial communitiesAltered skin microbiome, inflammation, and JAK/STAT signaling in Southeast Asian ichthyosis patients
Ho M, Nguyen H, Van Hoang M, Bui T, Vu B, Dinh T, Vo H, Blaydon D, Eldirany S, Bunick C, Bui C. Altered skin microbiome, inflammation, and JAK/STAT signaling in Southeast Asian ichthyosis patients. Human Genomics 2024, 18: 38. PMID: 38627868, PMCID: PMC11022333, DOI: 10.1186/s40246-024-00603-x.Peer-Reviewed Original ResearchConceptsSkin microbiomeCI patientsJAK/STAT-signaling pathwayRecurrent pathogenic variantsMeta-genomeCommensal microbiotaHereditary skin disordersJAK/STAT signalingIncreased production of inflammatory cytokinesIncreased susceptibility to infectionJAK/STAT-signalingPeripheral blood mononuclear cellsPathogenic variantsAge- and gender-matched controlsSkin barrier defectsHigher colonizationResultsThis case-control studyProduction of inflammatory cytokinesMicrobial populationsBlood mononuclear cellsImproving therapeutic managementEpidermal scalesCase-control studyMicrobiomeGender-matched controlsEmbracing cancer complexity: Hallmarks of systemic disease
Swanton C, Bernard E, Abbosh C, André F, Auwerx J, Balmain A, Bar-Sagi D, Bernards R, Bullman S, DeGregori J, Elliott C, Erez A, Evan G, Febbraio M, Hidalgo A, Jamal-Hanjani M, Joyce J, Kaiser M, Lamia K, Locasale J, Loi S, Malanchi I, Merad M, Musgrave K, Patel K, Quezada S, Wargo J, Weeraratna A, White E, Winkler F, Wood J, Vousden K, Hanahan D. Embracing cancer complexity: Hallmarks of systemic disease. Cell 2024, 187: 1589-1616. PMID: 38552609, DOI: 10.1016/j.cell.2024.02.009.Peer-Reviewed Original ResearchConceptsHuman genetic variationSystemic diseaseHallmarks of cancerTumor-related thrombosisGenetic variationGene-environment interactionsCancer-related deathsComplexity of cancerMolecular basisTreat human cancersNervous system interactionsMechanisms of carcinogenesisHuman cancersImprove patient qualityCancer cachexiaSystemic manifestationsTumor micro-Cancer outcomesDistant organsTumor initiationMolecular oncologyTumorPatients' qualityPrevent cancerCancerIntegrating the gut microbiome and pharmacology
Verdegaal A, Goodman A. Integrating the gut microbiome and pharmacology. Science Translational Medicine 2024, 16: eadg8357. PMID: 38295186, DOI: 10.1126/scitranslmed.adg8357.Peer-Reviewed Original ResearchEfficacy and Practical Implementation of Fecal Microbiota Spores, Live-BRPK: A Novel Approach for Preventing Recurrent Clostridioides difficile Infection
Feuerstadt P, LaPlante K. Efficacy and Practical Implementation of Fecal Microbiota Spores, Live-BRPK: A Novel Approach for Preventing Recurrent Clostridioides difficile Infection. The American Journal Of Gastroenterology 2024, 119: s22-s26. PMID: 38153222, DOI: 10.14309/ajg.0000000000002582.Peer-Reviewed Original Research
2023
The maternal gut microbiome in pregnancy: implications for the developing immune system
Koren O, Konnikova L, Brodin P, Mysorekar I, Collado M. The maternal gut microbiome in pregnancy: implications for the developing immune system. Nature Reviews Gastroenterology & Hepatology 2023, 21: 35-45. PMID: 38097774, DOI: 10.1038/s41575-023-00864-2.Peer-Reviewed Original ResearchClinically relevant antibiotic resistance genes are linked to a limited set of taxa within gut microbiome worldwide
Diebold P, Rhee M, Shi Q, Trung N, Umrani F, Ahmed S, Kulkarni V, Deshpande P, Alexander M, Thi Hoa N, Christakis N, Iqbal N, Ali S, Mathad J, Brito I. Clinically relevant antibiotic resistance genes are linked to a limited set of taxa within gut microbiome worldwide. Nature Communications 2023, 14: 7366. PMID: 37963868, PMCID: PMC10645880, DOI: 10.1038/s41467-023-42998-6.Peer-Reviewed Original ResearchConceptsResistance genesSet of genesGut microbiome samplesHuman gut microbiomeGut microbiotaTaxonomic rangeEnvironmental metagenomesDifferent phylaGut microbiomeTaxonomic associationsIsolate genomesAntibiotic resistance genesAR geneRelevant antibiotic resistance genesGenesDiverse membersHuman metagenomesMicrobiome samplesPCR approachGene profilesAntimicrobial resistance genesCommensal gut microbiotaMobilizable plasmidsMetagenomesImportant pathogenOn developmental programming of the immune system
Hong J, Medzhitov R. On developmental programming of the immune system. Trends In Immunology 2023, 44: 877-889. PMID: 37852863, DOI: 10.1016/j.it.2023.09.004.Peer-Reviewed Original ResearchmbQTL: an R/Bioconductor package for microbial quantitative trait loci (QTL) estimation
Movassagh M, Schiff S, Paulson J. mbQTL: an R/Bioconductor package for microbial quantitative trait loci (QTL) estimation. Bioinformatics 2023, 39: btad565. PMID: 37707523, PMCID: PMC10516520, DOI: 10.1093/bioinformatics/btad565.Peer-Reviewed Original ResearchConceptsSingle nucleotide variationsRNA sequencingMicrobial abundance dataQuantitative trait lociSingle nucleotide polymorphism dataRibosomal RNA sequencingField of genomicsWhole-genome sequencingEvidence of interplayMutational profileTrait lociMicrobial communitiesMicrobial abundancePolymorphism dataMicrobial populationsGenome sequencingAbundance dataFirst R packageHuman geneticsBioconductor packageGenetic variantsMicrobiome dataSequencingR packageAbundanceThe effect of single dose albendazole (400 mg) treatment on the human gut microbiome of hookworm-infected Ghanaian individuals
Appiah-Twum F, Akorli J, Okyere L, Sagoe K, Osabutey D, Cappello M, Wilson M. The effect of single dose albendazole (400 mg) treatment on the human gut microbiome of hookworm-infected Ghanaian individuals. Scientific Reports 2023, 13: 11302. PMID: 37438457, PMCID: PMC10338455, DOI: 10.1038/s41598-023-38376-3.Peer-Reviewed Original ResearchConceptsHookworm infectionAlbendazole treatmentMicrobiota compositionStool samplesGut microbiomeGut microbiome dysbiosisInfection cure rateKintampo North MunicipalityPre-treatment statePotential microbial biomarkersAdjunct treatmentAnthelminthic therapySingle doseCure rateMicrobiome dysbiosisTreatment outcomesGut homeostasisPharmacological responseProbiotic supplementationGut microbiotaUninfected individualsCommensal bacteriaInfected individualsTherapy outcomeHuman gut microbiomeHighly multiplexed bioactivity screening reveals human and microbiota metabolome-GPCRome interactions
Chen H, Rosen C, González-Hernández J, Song D, Potempa J, Ring A, Palm N. Highly multiplexed bioactivity screening reveals human and microbiota metabolome-GPCRome interactions. Cell 2023, 186: 3095-3110.e19. PMID: 37321219, PMCID: PMC10330796, DOI: 10.1016/j.cell.2023.05.024.Peer-Reviewed Original ResearchMicrobiota in disease-transmitting vectors
Wang J, Gao L, Aksoy S. Microbiota in disease-transmitting vectors. Nature Reviews Microbiology 2023, 21: 604-618. PMID: 37217793, DOI: 10.1038/s41579-023-00901-6.Peer-Reviewed Original ResearchConceptsSymbiotic associationVector-borne diseasesDisease-transmitting vectorsAlternative control methodsVector competenceUnique key featuresHealth of humansSymbiotic microorganismsVector taxaReproductive strategiesArthropod hostsLife historyVector arthropodsHaematophagous arthropodsTriatomine bugsBlood feedVector populationsTransmission successArthropodsFeeding behaviorCurrent knowledgeMicrobiotaPathogensKnowledge gapsTaxaInfection leaves a genetic and functional mark on the gut population of a commensal bacterium
Tawk C, Lim B, Bencivenga-Barry N, Lees H, Ramos R, Cross J, Goodman A. Infection leaves a genetic and functional mark on the gut population of a commensal bacterium. Cell Host & Microbe 2023, 31: 811-826.e6. PMID: 37119822, PMCID: PMC10197903, DOI: 10.1016/j.chom.2023.04.005.Peer-Reviewed Original ResearchConceptsRapid genetic adaptationSingle nucleotide variantsMultiple phylaGenetic adaptationFunctional marksStable marksEnteric infectionsGene expressionPopulation dynamicsGut commensalsCommensal populationsMicrobiome compositionAbsence of infectionRapid selectionCitrobacter rodentiumFitnessGut populationsCommensal bacteriumInfected miceGastrointestinal infectionsGnotobiotic miceCommensalGut lumenDirect administrationVitamin B6Cross-feeding in the gut microbiome: Ecology and mechanisms
Culp E, Goodman A. Cross-feeding in the gut microbiome: Ecology and mechanisms. Cell Host & Microbe 2023, 31: 485-499. PMID: 37054671, PMCID: PMC10125260, DOI: 10.1016/j.chom.2023.03.016.Peer-Reviewed Original ResearchConceptsHost healthHost-microbe interactionsSpecies fitnessMicrobe-microbeEvolutionary implicationsMicrobial inhabitantsGut communitiesTrophic networksMicrobial communitiesTrophic levelsMammalian gutPrimary fermentersMetabolic outputDifferent microbesAmino acidsGut commensalsCooperative interactionsGut microbiomeNegative interactionsFitnessMutualismEcologyMicrobesEmergent roleCofactor
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply