Huey Cai
Research Scientist of Ophthalmology and Visual ScienceCards
About
Research
Publications
2025
Topology of gut Microbiota Network and Guild-Based Analysis in Chinese Adults
Fu J, Yu D, Zheng W, Jiang Y, Wang L, Cai H, Xia Q, Shu X, Xu W. Topology of gut Microbiota Network and Guild-Based Analysis in Chinese Adults. Phenomics 2025, 1-18. DOI: 10.1007/s43657-024-00211-8.Peer-Reviewed Original ResearchOperational taxonomic unitsGut microbiotaDiversity of OTUsCo-abundance networksTaxonomic unitsAssociated with type 2 diabetesMicrobiota networkMicrobial networksGuild structureGut bacteriaGenus classificationMicro-ecosystemMicrobiotaGuildsShanghai MeGenusGutRelevant to diabetesStructural similarityBacteriaSparse CorrelationsChinese populationCO abundanceType 2 diabetesHuman health
2024
Occupational Benzene Exposure and Cancer Risk among Chinese Men: A Report from the Shanghai Men's Health Study.
DeMoulin D, Cai H, Vermeulen R, Zheng W, Lipworth L, Shu X. Occupational Benzene Exposure and Cancer Risk among Chinese Men: A Report from the Shanghai Men's Health Study. Cancer Epidemiology Biomarkers & Prevention 2024, 33: 1465-1474. PMID: 39145717, PMCID: PMC11530315, DOI: 10.1158/1055-9965.epi-24-0325.Peer-Reviewed Original ResearchConceptsRisk of leukemiaIncreased risk of leukemiaCancer riskStomach cancerShanghai Men's Health StudyAssociated with increased risk of leukemiaCancer associationAlcohol consumptionOccupational benzene exposureConfidence intervalsMen's Health StudyIncreased riskPopulation-based cohortJob-exposure matrixCumulative benzene exposureAssociated with increased riskMitigate cancer riskYears of follow-upKidney cancerLinear dose-response patternDose-response patternHealth StudyPotential confoundersBenzene exposureRisk associationCirculating Metabolite Profiles and Risk of Coronary Heart Disease Among Racially and Geographically Diverse Populations
Deng K, Gupta D, Shu X, Lipworth L, Zheng W, Cai H, Cai Q, Yu D. Circulating Metabolite Profiles and Risk of Coronary Heart Disease Among Racially and Geographically Diverse Populations. Circulation Genomic And Precision Medicine 2024, 17: e004437. PMID: 38950084, PMCID: PMC11335450, DOI: 10.1161/circgen.123.004437.Peer-Reviewed Original ResearchConceptsMetabolite risk scoreConventional risk factorsCoronary heart diseaseConditional logistic regressionRisk factorsIncident coronary heart diseaseCirculating metabolitesC-indexAssociated with incident coronary heart diseaseCHD casesHeart diseaseCirculating metabolite profilesFollow-up durationBaseline plasma samplesIncident CHD casesLogistic regressionBody mass indexRisk of coronary heart diseaseAssociated with CHD riskCase-control pairsImprove CHD risk predictionGeographically diverse populationsUntargeted metabolomicsRisk predictionFamily historyBlood Lipids, Lipoproteins, and Apolipoproteins With Risk of Coronary Heart Disease: A Prospective Study Among Racially Diverse Populations
Deng K, Pan X, Voehler M, Cai Q, Cai H, Shu X, Gupta D, Lipworth L, Zheng W, Yu D. Blood Lipids, Lipoproteins, and Apolipoproteins With Risk of Coronary Heart Disease: A Prospective Study Among Racially Diverse Populations. Journal Of The American Heart Association 2024, 13: e034364. PMID: 38726919, PMCID: PMC11179824, DOI: 10.1161/jaha.124.034364.Peer-Reviewed Original ResearchConceptsIncident coronary heart diseaseAssociated with incident coronary heart diseaseCoronary heart diseaseMetabolic health statusOdds ratioCase-control study of coronary heart diseaseHealth statusDiverse populationsStudy of coronary heart diseaseCoronary heart disease riskRisk of coronary heart diseaseUnconditional logistic regressionBlood lipidsRacially diverse populationLipoprotein cholesterolHeart diseaseCase-control studyHigh-density lipoprotein cholesterolBlood lipoprotein profilesChinese adultsLow-density lipoprotein triglyceridesPotential confoundersLow-density lipoprotein cholesterolGeographically diverse populationsLogistic regressionIntegrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions
Dareng E, Coetzee S, Tyrer J, Peng P, Rosenow W, Chen S, Davis B, Dezem F, Seo J, Nameki R, Reyes A, Aben K, Anton-Culver H, Antonenkova N, Aravantinos G, Bandera E, Freeman L, Beckmann M, Beeghly-Fadiel A, Benitez J, Bernardini M, Bjorge L, Black A, Bogdanova N, Bolton K, Brenton J, Budzilowska A, Butzow R, Cai H, Campbell I, Cannioto R, Chang-Claude J, Chanock S, Chen K, Chenevix-Trench G, Group A, Chiew Y, Cook L, DeFazio A, Dennis J, Doherty J, Dörk T, du Bois A, Dürst M, Eccles D, Ene G, Fasching P, Flanagan J, Fortner R, Fostira F, Gentry-Maharaj A, Giles G, Goodman M, Gronwald J, Haiman C, Håkansson N, Heitz F, Hildebrandt M, Høgdall E, Høgdall C, Huang R, Jensen A, Jones M, Kang D, Karlan B, Karnezis A, Kelemen L, Kennedy C, Khusnutdinova E, Kiemeney L, Kjaer S, Kupryjanczyk J, Labrie M, Lambrechts D, Larson M, Le N, Lester J, Li L, Lubiński J, Lush M, Marks J, Matsuo K, May T, McLaughlin J, McNeish I, Menon U, Missmer S, Modugno F, Moffitt M, Monteiro A, Moysich K, Narod S, Nguyen-Dumont T, Odunsi K, Olsson H, Onland-Moret N, Park S, Pejovic T, Permuth J, Piskorz A, Prokofyeva D, Riggan M, Risch H, Rodríguez-Antona C, Rossing M, Sandler D, Setiawan V, Shan K, Song H, Southey M, Steed H, Sutphen R, Swerdlow A, Teo S, Terry K, Thompson P, Thomsen L, Titus L, Trabert B, Travis R, Tworoger S, Valen E, Van Nieuwenhuysen E, Edwards D, Vierkant R, Webb P, Group O, Weinberg C, Weise R, Wentzensen N, White E, Winham S, Wolk A, Woo Y, Wu A, Yan L, Yannoukakos D, Zeinomar N, Zheng W, Ziogas A, Berchuck A, Goode E, Huntsman D, Pearce C, Ramus S, Sellers T, Consortium T, Freedman M, Lawrenson K, Schildkraut J, Hazelett D, Plummer J, Kar S, Jones M, Pharoah P, Gayther S. Integrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions. American Journal Of Human Genetics 2024, 111: 1061-1083. PMID: 38723632, PMCID: PMC11179261, DOI: 10.1016/j.ajhg.2024.04.011.Peer-Reviewed Original ResearchTranscriptome-wide association studyRisk lociAssociation studiesTranscription factor ChIP-seqSusceptibility genesGenome-wide association analysisGenome-wide association studiesCausal risk variantsControls of European originTranscriptome-wide associationEpithelial ovarian cancerVariant Effect PredictorIntegrative multi-omics analysisMulti-omics analysisChIP-seqChromatin marksGenomic regionsFine-mappingSusceptibility lociInteractome analysisAssociation analysisEpithelial ovarian cancer histotypesRisk variantsTissue-specificLociDiabetes is associated with increased liver cancer incidence and mortality in adults: A report from Asia Cohort Consortium
Ho N, Abe S, Rahman S, Islam R, Saito E, Gupta P, Pednekar M, Sawada N, Tsugane S, Tamakoshi A, Kimura T, Shu X, Gao Y, Koh W, Cai H, Wen W, Sakata R, Tsuji I, Malekzadeh R, Pourshams A, Kanemura S, Kim J, Chen Y, Ito H, Oze I, Nagata C, Wada K, Sugawara Y, Park S, Shin A, Yuan J, Wang R, Kweon S, Shin M, Poustchi H, Vardanjani H, Ahsan H, Chia K, Matsuo K, Qiao Y, Rothman N, Zheng W, Inoue M, Kang D, Boffetta P. Diabetes is associated with increased liver cancer incidence and mortality in adults: A report from Asia Cohort Consortium. International Journal Of Cancer 2024, 155: 854-870. PMID: 38661292, DOI: 10.1002/ijc.34965.Peer-Reviewed Original ResearchLiver cancer incidenceAsia Cohort ConsortiumBaseline diabetesCancer incidenceCohort ConsortiumAssociated with increased liver cancer riskMortality of liver cancerHazard ratioLiver cancer mortalityTwo-stage meta-analysisLiver cancer riskMeta-analysisCox proportional hazards modelsBody mass indexFollow-up timeProportional hazards modelCancer mortalityCancer riskTobacco smokeBaseline ageCumulative incidence of deathCancer diagnosisCohort studyMeta-analytic approachMass indexFamily history and gastric cancer incidence and mortality in Asia: a pooled analysis of more than half a million participants
Huang D, Song M, Abe S, Rahman M, Islam M, Saito E, De la Torre K, Sawada N, Tamakoshi A, Shu X, Cai H, Hozawa A, Kanemura S, Kim J, Chen Y, Ito H, Sugawara Y, Park S, Shin M, Hirabayashi M, Kimura T, Gao Y, Wen W, Oze I, Shin A, Ahn Y, Ahsan H, Boffetta P, Chia K, Matsuo K, Qiao Y, Rothman N, Zheng W, Inoue M, Kang D. Family history and gastric cancer incidence and mortality in Asia: a pooled analysis of more than half a million participants. Gastric Cancer 2024, 27: 701-713. PMID: 38649672, PMCID: PMC11193690, DOI: 10.1007/s10120-024-01499-1.Peer-Reviewed Original ResearchFamily history of gastric cancerHistory of gastric cancerGastric cancer incidenceIncident gastric cancerCancer incidenceFamily historyRisk of incident gastric cancerBurden of gastric cancerHazard ratioGastric cancer deathsAsia Cohort ConsortiumGastric cancer mortalityRisk of gastric cancerConfidence intervalsGastric cancer riskRandom-effects meta-analysesCox proportional hazards regressionProportional hazards regressionCase-control studyCohort ConsortiumCancer mortalityCancer surveillanceCancer riskTargeted educationStratified analysisCirculating microRNAs in association with pancreatic cancer risk within 5 years
Wang C, Cai H, Cai Q, Wu J, Stolzenberg‐Solomon R, Guo X, Zhu C, Gao Y, Berlin J, Ye F, Zheng W, Setiawan V, Shu X. Circulating microRNAs in association with pancreatic cancer risk within 5 years. International Journal Of Cancer 2024, 155: 519-531. PMID: 38602070, PMCID: PMC11214275, DOI: 10.1002/ijc.34956.Peer-Reviewed Original ResearchPancreatic cancer riskCancer riskOdds ratioCohort studyAssociated with pancreatic cancer riskSouthern Community Cohort StudyYears prior to cancer diagnosisOvarian Cancer Screening TrialConfidence intervalsYears prior to diagnosisMultiethnic Cohort StudyCommunity Cohort StudyCancer Screening TrialConditional logistic regression analysisMen's Health StudyCase-control pairsProspective cohort studyCase-control studyCancer screeningLogistic regression analysisHealth StudyScreening TrialStratified analysisCancer diagnosisDiscovery stageSodium Intake and Cause-Specific Mortality Among Predominantly Low-Income Black and White US Residents
Yoon H, Cai Q, Yang J, Lipworth L, Cai H, Yu D, Steinwandel M, Gupta D, Blot W, Zheng W, Shu X. Sodium Intake and Cause-Specific Mortality Among Predominantly Low-Income Black and White US Residents. JAMA Network Open 2024, 7: e243802. PMID: 38530308, PMCID: PMC10966417, DOI: 10.1001/jamanetworkopen.2024.3802.Peer-Reviewed Original ResearchPopulation-attributable riskCause-specific mortalityLow-income BlackHazard ratioWhite individualsCohort studyBlack individualsPopulation-attributable risk estimatesSouthern Community Cohort StudyCommunity health centersMultivariable-adjusted Cox regressionCommunity Cohort StudyDietary sodium intakeEstimate hazard ratiosPublic health programsAssociated with sodium intakeFood frequency questionnaireSodium intakeLow-income AmericansCurrent dietary recommendationsLow-income individualsReduce sodium intakeCVD mortalityExcess dietary sodiumNo significant associationGut Microbiome of Patients With Breast Cancer in Vietnam
Nguyen S, Tran H, Long J, Shrubsole M, Cai H, Yang Y, Nguyen L, Nguyen G, Nguyen C, Ta T, Wu J, Cai Q, Zheng W, Tran T, Shu X. Gut Microbiome of Patients With Breast Cancer in Vietnam. JCO Global Oncology 2024, 10: e2300234. PMID: 38359370, PMCID: PMC10881109, DOI: 10.1200/go.23.00234.Peer-Reviewed Original ResearchConceptsGut microbiome health indexGut microbiomeTaxa abundanceA-diversityUnhealthy gut microbiomeGut microbiome of patientsStool samplesShotgun metagenomic sequencingGut microbial diversityAbundance of speciesBreast cancerMicrobiome of patientsMetagenomic sequencingInvestigated taxaGut microbiotaB-diversityMicrobial diversityDiagnosis delayDecreased abundanceIncreased abundanceMicrobiomeHigher intake of fiberGutIntake of fiberTaxa
Get In Touch
Contacts
Email