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A Multicentre Study on Features of the Gut Microbiota of Patients With Critical Chronic Diseases in China


2022-03-01


2024-12


2025-12


12000

Study Overview

A Multicentre Study on Features of the Gut Microbiota of Patients With Critical Chronic Diseases in China

The human gut microbiome has been associated with many health factors but variability between studies limits the exploration of effects between them. This study aims to systematically characterize the gut microbiota of various critical chronic diseases, compare the similarities and differences of the microbiome signatures linked to different regions and diseases, and further investigate their impacts on microbiota-based diagnostic models.

Many studies demonstrate that microbial dysbiosis has been linked to many human pathologies. However, the current understanding of the identification of the disease-associated microbiome signatures remains limited, largely owing to the heterogeneity of microbial community structures which are shaped by the host. Undoubtedly, profiles of microbial biomarkers require validation in large, independent, population-based cohorts from different districts. Based on these, the investigator plan to organize a multicentric cross-sectional cohort, not only to systematically characterize the gut microbiota of various critical chronic diseases, such as liver cancer, gastric cancer, pancreatic cancer, lung cancer, nasopharyngeal cancer, hypertension, acute coronary syndrome, primary aldosteronism, epilepsy, chronic kidney disease, and subclinical hypothyroidism but also to compare the similarities and differences of the microbiome signatures linked to different regions and different diseases and to further investigate their impacts on microbiota-based diagnostic models. In this study, for each kind of disease, the investigators expect to recruit 500 patients with a confirmed diagnosis and 500 sex- and age-matched controls, to record their information related to demography, body measurement, lifestyle, diet, medication, diseases, and biochemistry, and to collect their feces, saliva, urine and blood samples.

  • Essential Hypertension
  • Liver Cancer
  • Nasopharyngeal Cancer
  • Pancreatic Cancer
  • Lung Cancer
  • Chronic Kidney Diseases
  • Acute Coronary Syndrome
  • Epilepsy
  • Gastric Cancer
  • Primary Aldosteronism
  • Subclinical hypothyroïdism
  • OTHER: no intervention
  • CALM2101

Study Record Dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Registration Dates Results Reporting Dates Study Record Updates

2022-09-26  

N/A  

2024-07-26  

2022-11-25  

N/A  

2024-07-29  

2022-12-06  

N/A  

2024-07  

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

Design Details

Primary Purpose:
N/A


Allocation:
N/A


Interventional Model:
N/A


Masking:
N/A


Arms and Interventions

Participant Group/ArmIntervention/Treatment
: disease group

no intervention

OTHER: no intervention

  • Observational studies, no intervention
: control group

no intervention

OTHER: no intervention

  • Observational studies, no intervention
Primary Outcome MeasuresMeasure DescriptionTime Frame
microbiomeThe microbial composition of the stool and saliva samples was determined by 16S rRNA (ribosomal ribonucleic acid) gene sequencing analysis and metagenomics. Comparison of microbial abundance and diversity of healthy volunteers and patients with various diseases.baseline
Secondary Outcome MeasuresMeasure DescriptionTime Frame
biochemistryComparison of serum markers of healthy volunteers and patients with various diseases.baseline
metabonomicsComparison of metabolites of healthy volunteers and patients with various diseases.baseline
proteomicsComparison of peptides of healthy volunteers and patients with various diseases using mass spectrometry.baseline

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Name: Jiahui Zhang

Phone Number: 13049139791

Email: zjh13049139791@163.com

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person’s general health condition or prior treatments.

Ages Eligible for Study:
ALL

Sexes Eligible for Study:
18 Years

Accepts Healthy Volunteers:
1

    Inclusion Criteria:
    1. aged 18-75 years; 2. living in the province where the hospital is located in the last three years; 3. with a medical diagnosis of one of the target diseases; 4. willing to provide written informed consent.
    Exclusion Criteria:
    1. female in pregnancy or lactation(unless the subject is pregnant women); 2. with medical diagnoses of other serious illnesses; 3. with a history of bariatric surgery or intestinal resection, except for appendectomy; 4. individual who was treated with drugs in the preceding 1 month, including antibiotics, metformin, statins, acid inhibitor, probiotics, and probiotics; individuals having consumed yogurt more than 3 times in the preceding 1 month; heavy drinkers who have consumed more than 4 taels of liquor or 1000ml of beer; frequent alcohol consumers who have drunk per week in the last month.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

  • National Natural Science Foundation of China

  • STUDY_CHAIR: Yan He, Zhujiang Hospital

Publications

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

  • He Y, Wu W, Zheng HM, Li P, McDonald D, Sheng HF, Chen MX, Chen ZH, Ji GY, Zheng ZD, Mujagond P, Chen XJ, Rong ZH, Chen P, Lyu LY, Wang X, Wu CB, Yu N, Xu YJ, Yin J, Raes J, Knight R, Ma WJ, Zhou HW. Regional variation limits applications of healthy gut microbiome reference ranges and disease models. Nat Med. 2018 Oct;24(10):1532-1535. doi: 10.1038/s41591-018-0164-x. Epub 2018 Aug 27.