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临床试验/NCT05065671
NCT05065671招募中1 期

Incorporating Drug Metabolism by the Human Gut Microbiome Into Personalized Medicine

Rutgers, The State University of New Jersey1 个研究点 分布在 1 个国家目标入组 14 人开始时间: 2022年2月1日最近更新:
适应症
干预措施
相关药物

试验速览

阶段
1 期
状态
招募中
入组人数
14
试验地点
1
主要终点
Drug trough plasma concentrations

研究概览

简要总结

The investigators will perform single-dose pharmacokinetic (PK) studies in humans following administration of drugs with known microbiome derived metabolism (MDM) in parallel with preclinical studies. By directly comparing laboratory measurements to clinical results, the investigators will be able to confirm the relevance of MDM in vivo, create microbiome-dependent PK profiles of the MDM positive drugs, and establish methodology to capture the contribution of MDM to inter-individual variability in clinical drug PK profiles.

详细描述

The human gut microbiome has been shown to play an important role in the observed inter-individual variability in therapeutic response, including both efficacy and toxicity. One of the mechanisms by which the gut microbiome exerts these effects is through the direct biochemical transformation of orally administered drugs into more or less active or toxic metabolites, termed herein microbiome-derived drug metabolism (MDM). Recent systematic studies have revealed an enormous and largely unexplored biochemical capacity of human gut bacteria - cultured in ex vivo microbial communities or as single isolates - to metabolize dozens of orally administered drugs but the clinical relevance of the observed MDM remains unmapped. This gap in knowledge is a result of overt disconnect between preclinical and clinical studies: MDM studies performed in the laboratory are removed from direct clinical comparisons, and human studies performed during drug development and therapeutic interventions almost completely ignore microbiome contribution. Moreover, there is currently a lack standardized experimental methods and mathematical models to start incorporating MDM into clinical decisions. Our PK studies are aimed at developing such strategies into clinical practice.

研究设计

研究类型
Interventional
分配方式
Non Randomized
干预模型
Crossover
主要目的
Other
盲法
None

入排标准

年龄范围
18 Years 至 65 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 18 to 65 years of age
  • Body mass index between 18.5 - 29.9 kg/m2
  • Exclusion Criteria
  • Estimated creatinine clearance < 50 mL/min
  • Liver impairment (liver enzymes > 2 times upper limit)
  • Antibiotics in the past 3 months
  • History of gastrointestinal disease
  • History of autoimmune disorder
  • Chronic viral infection
  • Alcohol intake (defined as having up to 1 drink per day for women and up to 2 drinks per day for men)
  • Use of immune modulating medications
  • Diabetes mellitus
  • Any history or contraindication to the study medications
  • Additional exclusion criteria will be based on the FDA approved prescribing information for selected drugs (i.e., contraindications)

排除标准

  • 未提供

研究组 & 干预措施

Tolcapone

Experimental

Tolcapone 100 mg by mouth once

干预措施: Tolcapone 100 MG (Drug)

Duloxetine

Experimental

Duloxetine 20 mg by mouth once

干预措施: Duloxetine 20 MG (Drug)

结局指标

主要结局

Drug trough plasma concentrations

时间窗: After a single dose of a microbiome derived metabolism positive drug (over an 8 hour period for each drug)

We will measure the trough plasma concentration for microbiome derived metabolism positive probe drugs

Drug area under the plasma concentration versus time curve (AUC)

时间窗: After a single dose of a microbiome derived metabolism positive drug (over an 8 hour period for each drug)

We will calculate the plasma area under the curve for the microbiome derived metabolism positive probe drugs

Drug volume of distribution

时间窗: After a single dose of a microbiome derived metabolism positive drug (over an 8 hour period for each drug)

We will calculate the volume of distribution for microbiome derived metabolism positive probe drugs

Drug half-life

时间窗: After a single dose of a microbiome derived metabolism positive drug (over an 8 hour period for each drug)

We will calculate drug half-life for microbiome derived metabolism positive probe drugs

Drug plasma clearance

时间窗: After a single dose of a microbiome derived metabolism positive drug (over an 8 hour period for each drug)

We will calculate drug plasma clearance for each microbiome derived metabolism positive drug.

Drug peak plasma concentration

时间窗: After a single dose of a microbiome derived metabolism positive drug (over an 8 hour period for each drug)

We will measure the peak plasma concentration for microbiome derived metabolism positive probe drugs

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Luigi Brunetti

Associate Professor

Rutgers, The State University of New Jersey

研究点 (1)

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