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A Cross-sectional Study on IBS Subtypes, Chinese Medicine Pattern and Host-gut Microbiota Metabolic Interactions

The Distribution of Irritable Bowel Syndrome (IBS) Subtypes, Chinese Medicine Pattern and Host-gut Microbiota Metabolic Interactions Associated With IBS Subtypes

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02822677
Enrollment
504
Registered
2016-07-04
Start date
2016-07-07
Completion date
2017-01-30
Last updated
2017-08-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Irritable Bowel Syndrome

Brief summary

The investigators will conduct a cross-sectional study to discovery the distribution of IBS subtypes who would like to seek TCM treatment and their TCM patterns. At the same time, the investigators will also collect the serum, urine and stool samples of the participants to explore the host-gut microbiota metabolic interactions associated with IBS subtypes.

Detailed description

It is a cross-sectional study to discovery the distribution of IBS subtypes who would like to seek CM treatment and their CM patterns.Serum, urine and stool samples of the participants will be collected from 400-600 IBS participants to explore the host-gut microbiota metabolic interactions associated with IBS subtypes. The primary outcome will be the distribution of IBS subtype and their CM pattern in Hong Kong population. Secondary outcomes will be the host-gut microbiota metabolic interactions associated with IBS subtypes, the relationship between CM pattern and their microbiota and metabolic profiling. The relationship between IBS subtype distribution and other predetermined factors will be assessed, including gender, age, weight, Body Mass Index (BMI), dietary habit, education, economical status, the overall and individual IBS Symptom Severity Scale (IBS-SSS), syndrome of Chinese medicine, QoL assessment and Bristol Stool Scale.For those who had fulfillment of the Structured Clinical Interview for DSM-5 Disorders-(SCID-5), the Hamilton Depression Rating Scale (HAMD-17), Clinical Global Impression-severity (CGI-S), and Self-Rating Depression Scale (SDS) will also be assessed. After the collection of serum, urine and stool samples, bacterial total DNA will be extracted, purified,concentrated,dried and stored for further fecal 16s rRNA sequencing analysis. A number of parameters, including serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphate (ALP) et al., will be measured in serum. Total BA and BA profiles in serum and feces will be tested as well.

Interventions

None listed

Sponsors

Hong Kong Baptist University
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
No

Inclusion criteria

* 1\) meet of diagnosis of IBS(ROME 4); 2) age of 18 to 65 years (inclusive); 3) IBS Symptom Severity Scale \[17\] (IBS-SSS) \> 75 points (a range of 0-500 points of VAS on five questions) at baseline and during the 2-week run-in period; 4) Normal colonic evaluation (colonoscopy or barium enema) within 5 years; 5) Written informed consent.

Exclusion criteria

* 1\) pregnancy or breast-feeding; 2) medical history of inflammatory bowel diseases, carbohydrate malabsorption, hormonal disorder, known allergies to food additives, and/or any other serious diseases; 3) Having suicidal ideas or attempts or aggressive behavior; 4) Use of medications known to influence gastrointestinal transit.

Design outcomes

Primary

MeasureTime frame
the Distribution of IBS Subtype and Their CM Pattern in Hong Kong Population.one year

Secondary

MeasureTime frame
the Host-gut Microbiota Metabolic Interactions Associated with IBS Subtypesone year
the Relationship Between CM Pattern and Their Microbiotaone year
the relationship between CM pattern and metabolic profilingone year

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 21, 2026