Clinical Trial Details
— Status: Recruiting
Administrative data
NCT number |
NCT05598489 |
Other study ID # |
IBDFMB |
Secondary ID |
|
Status |
Recruiting |
Phase |
|
First received |
|
Last updated |
|
Start date |
December 7, 2022 |
Est. completion date |
July 31, 2024 |
Study information
Verified date |
May 2023 |
Source |
Chinese University of Hong Kong |
Contact |
Siew Chien Ng, PhD |
Phone |
852-35053996 |
Email |
siewchienng[@]cuhk.edu.hk |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
Inflammatory bowel disease (IBD), including Crohn's disease (CD) and Ulcerative colitis (UC),
is a chronic idiopathic inflammatory condition of the intestine. Endoscopy has been used to
monitor the disease, but it is time-consuming, costly, invasive, and associated with certain
risks of morbidity. Many patients are reluctant to undergo repeated endoscopic examinations,
particularly when their disease is quiescent. Acute phase reactants have been used to monitor
disease including C-reactive protein and stool leucocyte markers including fecal
calprotectin, but their sensitivity and specificity in correlating to intestinal inflammation
activity are low. Clinical challenge of patient heterogeneity in disease phenotype and
response to therapy has compounded discovery of disease-related biomarkers. In IBD, altered
fecal microbiota signatures have been consistently reported which included a reduction in
biodiversity with lower proportions of Firmicutes and increases in Proteobacteria and
Bacteroidetes phylum members. Moreover, overall bacterial diversity is consistently decreased
in IBD patients compared to controls. Even though a number of fecal biomarkers have been
evaluated for their utility for disease diagnosis in IBD, to date none has been accurate
enough for clinical application. Therefore, identification and validation of a non-invasive
biomarker which can be easily applied in disease diagnosis and prognosis is warranted to
provide an earlier opportunity to intervene. In this study, it aims to develop a
metagenomics-based model using fecal microbial biomarkers for differentiating IBD patients
from healthy controls, and then validate these fecal microbial biomarkers in different
populations.
Description:
Inflammatory bowel disease (IBD), including Crohn's disease (CD) and Ulcerative colitis (UC),
is a chronic idiopathic inflammatory condition of the intestine, which results in diarrhea,
rectal bleeding, urgency, weight loss and abdominal pain. The natural course of IBD is
characterized by activity outbreaks and periods of remission.
Endoscopy has been used to monitor the disease, but it is time-consuming, costly, invasive,
and associated with certain risks of morbidity. Many patients are reluctant to undergo
repeated endoscopic examinations, particularly when their disease is quiescent. Acute phase
reactants have been used to monitor disease including C-reactive protein and stool leucocyte
markers including fecal calprotectin, but their sensitivity and specificity in correlating to
intestinal inflammation activity are low. Clinical challenge of patient heterogeneity in
disease phenotype and response to therapy has compounded discovery of disease-related
biomarkers. In IBD, altered fecal microbiota signatures have been consistently reported which
included a reduction in biodiversity with lower proportions of Firmicutes and increases in
Proteobacteria and Bacteroidetes phylum members. Moreover, overall bacterial diversity is
consistently decreased in IBD patients compared to controls. Even though a number of fecal
biomarkers have been evaluated for their utility for disease diagnosis in IBD, to date none
has been accurate enough for clinical application. Therefore, identification and validation
of a non-invasive biomarker which can be easily applied in disease diagnosis and prognosis is
warranted to provide an earlier opportunity to intervene.
In this study, it aims to develop a metagenomics-based model using fecal microbial biomarkers
for differentiating IBD patients from healthy controls, and then validate these fecal
microbial biomarkers in different populations.
This is a cross-sectional multi-centre study. Two groups of subjects, IBD patients (cases)
and healthy subjects (controls), will be recruited from each centre. Each center will provide
fecal samples from 80-100 Crohn's disease, 80-100 ulcerative colitis, and 80-100 controls. We
will collect clinical data and stool sample from each subject. Fecal microbiota composition
will be compared between cases and controls. The abundance of bacterial biomarkers will be
assessed, and the efficacy of a diagnostic model will be validated.