2024
Multi-Omics Analysis of Gut Microbiota and Host Transcriptomics Reveal Dysregulated Immune Response and Metabolism in Young Adults with Irritable Bowel Syndrome
Chen J, Zhao T, Li H, Xu W, Maas K, Singh V, Chen M, Dorsey S, Starkweather A, Cong X. Multi-Omics Analysis of Gut Microbiota and Host Transcriptomics Reveal Dysregulated Immune Response and Metabolism in Young Adults with Irritable Bowel Syndrome. International Journal Of Molecular Sciences 2024, 25: 3514. PMID: 38542485, PMCID: PMC10970623, DOI: 10.3390/ijms25063514.Peer-Reviewed Original ResearchConceptsGut microbiotaIrritable bowel syndrome subjectsHost transcriptomeIrritable bowel syndromeMetabolic pathways of gut microbiotaTranscriptome profilingAnalysis of gut microbiotaDysbiosis of gut microbiotaDysregulated immune responseRNA-seq dataHealthy controlsMulti-omics analysisImmune responseImmune system processRNA-seqGene OntologyBowel syndromeIBS participantsMulti-omicsMicrobiotaMetabolic pathwaysPathways of antigen processingPeripheral blood samplesGutStool samples
2023
Pain sensation and gut microbiota profiles in older adults with heart failure
Chen J, Wang Z, Starkweather A, Chen M, McCauley P, Miao H, Ahn H, Cong X. Pain sensation and gut microbiota profiles in older adults with heart failure. Interdisciplinary Nursing Research 2023, 2: 83-91. PMID: 37645375, PMCID: PMC10461724, DOI: 10.1097/nr9.0000000000000024.Peer-Reviewed Original ResearchSelf-reported painPain sensationHeart failureHealthy controlsHF subjectsBiomarkers of painPain modulationSevere self-reported painStool samplesGut microbiota compositionQuantitative sensory testing profilesConditioned pain modulationQuantitative sensory testingPressure pain thresholdAssociated with painBrief Pain InventorySymptoms of HFImprove pain managementSubjects' mean ageNIH Patient-Reported Outcomes Measurement Information SystemOlder adultsMicrobiota compositionGut microbiotaPatient-Reported Outcomes Measurement Information SystemPain intensity
2022
Somatosensory Profiles Differentiate Pain and Psychophysiological Symptoms Among Young Adults With Irritable Bowel Syndrome
Chen J, Zhang Y, Barandouzi Z, Xu W, Feng B, Chon K, Santos M, Starkweather A, Cong X. Somatosensory Profiles Differentiate Pain and Psychophysiological Symptoms Among Young Adults With Irritable Bowel Syndrome. The Clinical Journal Of Pain 2022, 38: 492-501. PMID: 35686579, PMCID: PMC9205184, DOI: 10.1097/ajp.0000000000001046.Peer-Reviewed Original ResearchConceptsIrritable bowel syndromeIrritable bowel syndrome patientsHealthy controlsPain intensityPain thresholdBowel syndromeIBS-related painSomatic pain perceptionQuantitative sensory testingIncreased pain thresholdYoung adultsRandomized clinical trialsSelf-management interventionsSomatosensory profilesDifferentiate painPain perceptionPsychophysiological symptomsFollow-upClinical trialsPainNormal thresholdsIncreased thresholdSensory thresholdsSevere symptomsPatientsAssociations of neurotransmitters and the gut microbiome with emotional distress in mixed type of irritable bowel syndrome
Barandouzi Z, Lee J, del Carmen Rosas M, Chen J, Henderson W, Starkweather A, Cong X. Associations of neurotransmitters and the gut microbiome with emotional distress in mixed type of irritable bowel syndrome. Scientific Reports 2022, 12: 1648. PMID: 35102266, PMCID: PMC8803858, DOI: 10.1038/s41598-022-05756-0.Peer-Reviewed Original ResearchConceptsEmotional distressNeurotransmitter levelsHealthy controlsIrritable bowel syndrome groupIrritable bowel syndromeRegulation of neurotransmittersDepressive symptomsSerotonin levelsGut-brain axisEmotional symptomsHC groupPlasma neurotransmittersDistressGut microbiome profilesNeurotransmitterGut microbiomeNorepinephrine levelsBowel syndromeMicrobiome profilesPersonsNorepinephrineNested case-control studySymptomsCase-control studySerotoninThe Associations of Single Nucleotide Polymorphisms with Risk and Symptoms of Irritable Bowel Syndrome
Zhao T, Zhang Y, Lee J, Starkweather A, Young E, Cong X. The Associations of Single Nucleotide Polymorphisms with Risk and Symptoms of Irritable Bowel Syndrome. Journal Of Personalized Medicine 2022, 12: 142. PMID: 35207633, PMCID: PMC8878682, DOI: 10.3390/jpm12020142.Peer-Reviewed Original ResearchAssociated with IBS riskPatient-Reported Outcomes Measurement Information SystemBrief Pain InventorySingle nucleotide polymorphismsPain severityIrritable bowel syndromeOutcomes Measurement Information SystemIrritable bowel syndrome symptomsAssociated with pain severityMeasurement Information SystemSleep disturbanceAssociated with fatigueRisk single nucleotide polymorphismsAssociation of single nucleotide polymorphismsAssociated with sleep disturbancesRandomized controlled trialsMultivariate linear regressionNucleotide polymorphismsPain InventoryBowel syndromeFisher's exact testHealthy controlsBaseline dataRisk allelesSymptoms of irritable bowel syndrome
2021
Altered Gut Microbiota in Irritable Bowel Syndrome and Its Association with Food Components
Barandouzi Z, Lee J, Maas K, Starkweather A, Cong X. Altered Gut Microbiota in Irritable Bowel Syndrome and Its Association with Food Components. Journal Of Personalized Medicine 2021, 11: 35. PMID: 33429936, PMCID: PMC7827153, DOI: 10.3390/jpm11010035.Peer-Reviewed Original ResearchAlpha diversity indicesGut microbiotaIrritable bowel syndromeDiversity indexHealthy controlsHighest alpha-diversity indicesAlterations of gut microbiota compositionGut microbiota patternHigher alpha diversityGut microbiota compositionGut microbiota alterationsAltered gut microbiotaGut microbiome patternsCaffeine consumptionBowel syndromePathophysiology of irritable bowel syndromeIllumina sequencingFood frequency questionnaireAlpha diversityIrritable bowel syndrome groupIrritable bowel syndrome patientsMicrobial diversityMicrobiota compositionMicrobiota alterationsMicrobiota patterns
2020
Altered Composition of Gut Microbiota in Depression: A Systematic Review
Barandouzi Z, Starkweather A, Henderson W, Gyamfi A, Cong X. Altered Composition of Gut Microbiota in Depression: A Systematic Review. Frontiers In Psychiatry 2020, 11: 541. PMID: 32587537, PMCID: PMC7299157, DOI: 10.3389/fpsyt.2020.00541.Peer-Reviewed Original ResearchGut microbiota patternMicrobiota patternsComposition of gut microbiotaLow abundanceClostridium IV</i>Clostridium XlVa</i>Gut microbiome patternsBrain-gut-microbiome axisGenus levelGut microbiotaB-diversityGut microbiomePhylum levelA-diversityMicrobiome patternsGastrointestinal microbiomeFamily levelMicrobiome findingsMicrobiotaAltered compositionAbundanceGutHealthy controlsMicrobiomeDepressive disorder
2018
Distinct systemic microbiome and microbial translocation are associated with plasma level of anti-CD4 autoantibody in HIV infection
Xu W, Luo Z, Alekseyenko A, Martin L, Wan Z, Ling B, Qin Z, Heath S, Maas K, Cong X, Jiang W. Distinct systemic microbiome and microbial translocation are associated with plasma level of anti-CD4 autoantibody in HIV infection. Scientific Reports 2018, 8: 12863. PMID: 30150778, PMCID: PMC6110826, DOI: 10.1038/s41598-018-31116-y.Peer-Reviewed Original ResearchConceptsAnti-CD4 IgGVirally suppressive antiretroviral therapyAnti-CD4 autoantibodiesHIV+ subjectsMicrobial translocationAntiretroviral therapyAutoantibody productionPlasma levelsCD4+ T-cell recoveryChronically HIV-1-infected patientsPlasma anti-CD4 IgG levelsHealthy controlsPlasma levels of autoantibodiesHIV-1-infected patientsAssociated with plasma levelsElevated microbial translocationSystemic microbial translocationHIV-infected subjectsT-cell recoveryReduced microbial diversityLevels of autoantibodiesLimulus amebocyte assayHIV infectionPlasma microbiomeHIV disease