Mounting preclinical and clinical evidences have proved the causal role of gut microbiota on the pathogenesis of primary hypertension. Restoration of gut microbiota ameliorated high BP in rodents and/or human cases.A hypothesis is thus raised that gut microbiome restoration can be a potential approach to ameliorate hypertension. This pilot study will utilize fecal microbiota transplantation (FMT) capsules, in comparison with placebo capsules, to investigate the effect, safety and underlying mechanisms of gut microbiome restoration on primary hypertension.
Primary hypertension is a most prevalent cardiovascular diseases, and becomes a severe global public health issue because of the high morbidity and potential risk to other cardiovascular diseases. Several animal studies and diverse patient cohorts reported that the disorder of gut microbiome correlated with hypertension. Based on the investigators' previous work findings of metagenomics analysis, fecal transplantation and metabolomics changes in hypertension and pre-hypertension patients, a casual role of gut microbiome disorder was observed in primary hypertension and raised a hypothesis that gut microbiome restoration can be a potential approach to ameliorate hypertension. Recent studies indicated FMT, prebiotics, probiotics, dietary changes and other methodologies can assist gut microbiome restoration in diseases such as type 2 diabetes. The investigators therefore develop two pilot studies respectively utilizing FMT capsules (Pilot Study I) and innovative dietary changes (Pilot Study II) to explore the effect, safety and underlying mechanisms of gut microbiome restoration on hypertension. These pilot studies also present as the clinical translational section of the research project "The Role of Gut Microbiome in the Pathogenesis of Essential Hypertension"(Project ID 81630014, sponsored by National Natural Science Foundation of China). This study is the Study I: Objective: To explore the effect, safety and underlying mechanisms of gut microbiome restoration via FMT on primary hypertension. Study Design: A multicenter, randomized, double-blinded, placebo-controlled pilot study. Data quality control and statistical analysis: The investigators have invited professional statistic analysts to assist analyzing data and a third party to supervise data quality. Ethics: The Ethics Committee of Fuwai Hospital approved this study. Informed consents before patient enrollment are required.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Intervention: FMT capsules containing extensively screened donor stool.
Intervention: Placebo capsules that do not contain donor stool or any active drug.
Fuwai Hospital, Chinese Academy of Medical Sciences
Beijing, Beijing Municipality, China
NOT_YET_RECRUITINGThe Second Affiliated Hospital of Shantou University
Shantou, Guangdong, China
RECRUITINGQilu Hospital of Shandong University
Jinan, Shandong, China
Change for Office Systolic Blood Pressure (SBP)
Change for Office Systolic Blood Pressure (SBP)
Time frame: From baseline to Day 30
Change for Office SBP
Change for Office SDBP
Time frame: Baseline, Day 7, Day 14, Day 30, Day 60, Day 90
Change for Office Diastolic Blood Pressure (DBP)
Change for Office Diastolic Blood Pressure (DBP)
Time frame: Baseline, Day 7, Day 14, Day 30, Day 60, Day 90
Change for Home Systolic Blood Pressure (SBP)
Change for Home Systolic Blood Pressure (SBP)
Time frame: Baseline, Day 7, Day 14, Day 30, Day 60, Day 90
Change for Home Diastolic Blood Pressure (DBP)
Change for Home Diastolic Blood Pressure (DBP)
Time frame: Baseline, Day 7, Day 14, Day 30, Day 60, Day 90
Change for average SBP via 24-hour Ambulatory BP Monitoring
Change for average SBP via 24-hour Ambulatory BP Monitoring
Time frame: Baseline, Day 30, Day 90
Change for average DBP via 24-hour Ambulatory BP Monitoring
Change for average DBP via 24-hour Ambulatory BP Monitoring
Time frame: Baseline, Day 30, Day 90
Change for daytime average SBP via 24-hour Ambulatory BP Monitoring
Change for daytime average SBP via 24-hour Ambulatory BP Monitoring
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Purpose
TREATMENT
Masking
DOUBLE
Enrollment
120
Shanxi Bethune Hospital
Taiyuan, Shanxi, China
RECRUITINGSouthern University of Science and Technology Hospital
Shenzhen, Shenzhen, China
RECRUITINGThe People's Hospital of Ji Xian District
Tianjin, Tianjin Municipality, China
NOT_YET_RECRUITINGFuwai Yunnan Cardiovascular Hospital
Kunming, Yunnan, China
RECRUITINGTime frame: Baseline, Day 30, Day 90
Change for daytime average DBP via 24-hour Ambulatory BP Monitoring
Change for daytime average DBP via 24-hour Ambulatory BP Monitoring
Time frame: Baseline, Day 30, Day 90
Change for nightime average SBP via 24-hour Ambulatory BP Monitoring
Change for nightime average SBP via 24-hour Ambulatory BP Monitoring
Time frame: Baseline, Day 30, Day 90
Change for nightime average DBP via 24-hour Ambulatory BP Monitoring
Change for nightime average DBP via 24-hour Ambulatory BP Monitoring
Time frame: Baseline, Day 30, Day 90
Change for Ankle-Brachial Blood Pressure Index(ABI)
Change for ABI as an objective measurement of arterial insufficiency based on the ratio of ankle systolic pressure to brachial systolic pressure.
Time frame: Baseline, Day 90
Number of Participants with Adverse Events (AEs) as a Measure of Safety
Number of Participants with Adverse Events (AEs) as a Measure of Safety
Time frame: All AEs over 3 months
Changes in Intestinal Microbiota Composition Pre- and Post-intervention via Metagenomic Analysis
Changes in Intestinal Microbiota Composition Pre- and Post-intervention (FMT or Placebo) via Metagenomic Analysis, stratified by: 1. Randomisation 2. Change in Office SBP
Time frame: Baseline, Day 7, Day 14, Day 30, Day 60, Day 90
Changes in Intestinal Microbiota Function Pre- and Post-intervention via Metagenomic Analysis
Changes in Intestinal Microbiota Function Pre- and Post-intervention (FMT or Placebo) via Metagenomic Analysis, stratified by: 1. Randomisation 2. Change in Office SBP
Time frame: Baseline, Day 7, Day 14, Day 30, Day 60, Day 90
Durability of Engraftment of Donor Microbiome Following FMT
Durability of engraftment of donor microbiome following FMT, measured by similarity comparison of intestinal microbiota composition between donor and recipient
Time frame: Baseline, Day 7, Day 14, Day 30, Day 60, Day 90
Changes in Intestinal Metabolite Composition Pre- and Post-intervention via Metabolomic Analysis
Changes in Intestinal Metabolite Composition Pre- and Post-intervention (FMT or Placebo) via Metabolomic Analysis, stratified by: 1. Randomisation 2. Change in Office SBP
Time frame: Baseline, Day 7, Day 14, Day 30, Day 60, Day 90
Changes in Serum Metabolite Composition Pre- and Post-intervention via Metabolomic Analysis
Changes in Serum Metabolite Composition Pre- and Post-intervention (FMT or Placebo) via Metabolomic Analysis, stratified by: 1. Randomisation 2. Change in Office SBP
Time frame: Baseline, Day 7, Day 14, Day 30, Day 60, Day 90
Change for Fasting Blood Glucose Level
Change for Fasting Blood Glucose Level
Time frame: Baseline, Day 90
Change for Blood Lipid Level (Total Cholesterol, Total Triglyceride, Low Density Lipoprotein Cholesterol, High Density Lipoprotein Cholesterol)
Change for Blood Lipid Level (Total Cholesterol, Total Triglyceride, Low Density Lipoprotein Cholesterol, High Density Lipoprotein Cholesterol)
Time frame: Baseline, Day 90
Change for Body Mass Index
Change for Body Mass Index
Time frame: Baseline, Day 90