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Dietary prevention for colorectal cancer: targeting the bile acid/gut microbiome axis

Dietary prevention for colorectal cancer: targeting the bile acid/gut microbiome axis
结直肠癌的饮食预防:针对胆汁酸/肠道微生物组轴
批准号:
10723195
负责人:
Kai Wang
金额:
$12.41万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-07-13 至 2025-06-30
关键词:
AdherenceAlcoholsAlkaline PhosphataseAmericanAnimalsApoptosisAreaBifidobacteriumBile Acid Biosynthesis PathwayBile AcidsBioinformaticsBiologicalBiological MarkersBiological SciencesBloodCD3 AntigensCD8-Positive T-LymphocytesCD8B1 geneCaloriesCarbohydratesCell MaturationCellsCessation of lifeClinicalClinical TrialsCoffeeCohort StudiesColonColorectal AdenomaColorectal CancerColorectal NeoplasmsCommunitiesConsumptionDataDendritic CellsDeoxycholic AcidDevelopmentDietDiet RecordsDietary FiberDietary InterventionDietary PracticesEnvironmentEpidemiologyEscherichia coliEtiologyExcisionFOXP3 geneFatty acid glycerol estersFecesFollow-Up StudiesFoodFoundationsFusobacterium nucleatumFutureGene ExpressionGenesGoalsHealth ProfessionalHumanImmuneInflammationIntakeInterventionIntervention StudiesIntestinesLifeLinkLithocholic AcidLiverMalignant NeoplasmsMeasuresMediatingMediatorMentorsMentorshipMetabolicMethodsMicrobeNurses&apos Health StudyNutrientNutritionalNutsObservational StudyOlive oil preparationPTPRC genePathway interactionsPatientsPlantsPlayPopulation HeterogeneityPotatoPreventionPreventiveProcessed MeatsProductionPropertyProspective cohortProteinsReducing dietReportingResearchResearch PersonnelResistanceRiskRisk FactorsRoleScientistSecondary toSulfoxideT cell responseTeaTestingTimeTissue BanksTomatoesTrainingarmbacterial communitybile acid metabolismcancer diagnosiscancer preventioncancer subtypescardiometabolic riskcareercareer developmentclinical epidemiologycohortcolorectal cancer preventioncolorectal cancer riskcruciferous vegetabledesigndiet and cancerdietaryepidemiology studyethnic diversityfood consumptiongood dietgut microbesgut microbiomegut microbiotaimprovedindexinginnovationmecysteinemetabolomicsmicrobialmultidisciplinarynutritionnutritional epidemiologyoxidative DNA damageprogrammed cell death protein 1programsprospectiveracial diversityresponsetreatment armtumortumorigenicwestern diet

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中文摘要
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英文摘要
PROJECT SUMMARY / ABSTRACT Diet is an established etiologic factor for colorectal cancer (CRC) and is estimated to account for more than 40% of CRC cases and deaths. Despite several healthy dietary indices were suggested to be CRC-preventive, their associations with CRC risk remain moderate. A dietary index guiding dietary modulation for an efficacious CRC prevention remains lacking so far. One important reason is that all those dietary indices were developed based on their associations with cardiometabolic risk or certain general biological pathways, rather than mechanisms specifically targeting the colon. Growing evidence indicates an important role of gut microbial metabolites in mediating dietary effects on CRC risk. Among the metabolites, secondary bile acids (SBA) are suggested by extensive evidence to trigger a plethora of tumorigenic effects in colon, pointing to the gut microbiome-SBA axis as an emerging colon-specific pathway for CRC prevention. High-fat intake increases SBA production, but its SBA-stimulating property depends on fat type. Also, carbohydrates, proteins, and some other nutrients/foods also influence SBA but remain understudied. These data support the hypothesis that a dietary index specifically targeting the gut microbiome-SBA axis improves the currently weak CRC dietary prevention. To test this hypothesis, we will conduct an observational study in Aim 1 by leveraging the blood metabolomics and repeatedly measured diet and CRC diagnosis over 30 years in a racially/ethnically diverse population from four large cohorts: the Nurses’ Health Study I and II, Health Professionals Follow-up Study, and Southern Community Cohort Study. In Aim 2, we will conduct a single-arm intervention study among 40 patients who have recently undergone resection of colorectal adenoma and consume a habitual Western diet to assess the effect of a dietary intervention for more plant-based and less animal-based food over 4 weeks on SBA production, gut microbiota, and colonic gene expression via detailed food diary and repeated stool, blood, and colonic tissue collection. We will also guide patients to consume more foods, if there is any, that are found to substantially reduce SBA in Aim 1. I am well suited to perform this research based on 1) my expertise in epidemiology, quantitative methods, and biomarker research; 2) the exceptional multidisciplinary mentoring team comprised of leaders in their respective fields; and 3) the unparalleled research environment to support my career development. A team of outstanding scientists will mentor me to help me achieve this goal: Dr. Andrew Chan, a leader in clinical intervention and colorectal cancer prevention; Dr. Curtis Huttenhower, a leader in gut microbiome and bioinformatics; Dr. Mingyang Song, a leader in clinical epidemiology and nutritional intervention; and Dr. Edward Giovannucci, a leader in dietary effects on cancer. Through this study, I will expand my expertise in several new areas, including nutritional strategy for cancer prevention, the gut microbiome and bioinformatics, and clinical trial. The proposed research and training will help achieve my long-term career goal to become an independent investigator and develop a transdisciplinary research program in human nutrition and the gut microbiome for cancer prevention.
期刊论文(2)
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科研奖励(0)
会议论文
DOI: 10.1016/j.eclinm.2023.102139
发表时间: 2023-08
期刊: ECLINICALMEDICINE
影响因子: 15.1
作者: [Knudsen, Markus Dines, Wang, Kai, Wang, Liang, Polychronidis, Georgios, Berstad, Paula, Wu, Kana, He, Xiaosheng, Hang, Dong, Fang, Zhe, Ogino, Shuji, Chan, Andrew T., Giovannucci, Edward, Wang, Molin, Song, Mingyang]
通讯作者: Song, Mingyang
Novel bioinformatics methods to detect DNA and RNA modifications using Nanopore long-read sequencing
  • 批准号:
    10792416
  • 项目类别:
  • 资助金额:
    $70.96万
  • 财政年份:
    2023
  • 负责人:
    Kai Wang
  • 依托单位:
Improving chemical exposome target prediction by application of Coupled Matrix/Tensor-Matrix/Tensor Completion algorithms
Detection and annotation of structural variants from long-read sequencing
  • 批准号:
    10378720
  • 项目类别:
  • 资助金额:
    $44.0万
  • 财政年份:
    2019
  • 负责人:
    Kai Wang
  • 依托单位:
Integrated Variation Detection Annotation and Analysis
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