Institute of Liver & Biliary Sciences (ILBS)
New Delhi, National Capital Territory of Delhi, 110070, India
NCT Number: NCT06183190
Gut microbiota and liver disease are very closely linked. Microbiota influences the various liver diseases by Dysbiosis ratio .There is loss of tolerance targeting liver antigens which is thought to initiate disease in genetically susceptible individuals. This is triggered by environmental agents such as pathogens.Autoimmune Liveer disease(AILD )patients have Specific bacterial profile and Alterations in bacterial metabolites and immune pathways trigger Autoimmune hepatitis( AIH)& lead to its progression .Apoptosis of intestinal epithelial cells in response to microbial stimuli presentation of self-antigens leading to differentiation of autoreactive Th17 cells and other T helper cells leading to T-cell response of AILD.(1). Disease-associated dysbiosis in untreated patients with AIH was characterised by reduced biodiversity, decreased abundance of anaerobes and increase of the genera Veillonella, Klebsiella, Streptococcus and Lactobacillus(2-3).It remains unclear whether this microbial signature is specific compared to other autoimmune liver diseases or other immune-mediated diseases, and whether it is reproducible across geographic borders .However there is Scarce paediatric data comparing gut microbiota in AILD vs other liver diseases and no data on role of gut microbiota on response to treatment in AILD .
The aim of this study will be to To compare the gut microbiota (dysbiosis ratio, alpha and beta diversity, Shannon index) in children with autoimmune liver disease and Wilson disease, and study its influence on response to treatment in children with autoimmune liver disease.
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Notify Me12 year–18 year
All sexes
Observational
New Delhi, National Capital Territory of Delhi, 110070, India
Aim and Objective - To compare the gut microbiota (dysbiosis ratio, alpha and beta diversity, Shannon index) in children with autoimmune liver disease versus those with Wilson disease, and study its influence on response to treatment in children with autoimmune liver disease.
(b) Methodology:
Stool for 16S r-RNA sequencing: Fresh stool samples will be collected from study subjects and controls. Stool samples will be delivered to the laboratory in sterile plastic containers at 4°C, and stored at -80°C till further analysis .The amplified DNA will be sequenced in the next generation sequencing platform. Sequence data would be processed using standardized analysis pipeline. Briefly, sequences would be joined, depleted of barcodes, sequences <150bp and those with ambiguous base calls would be removed. Sequences would be denoised, operational taxonomic units (OTUs) generated and chimeras removedThe intestinal microbiome will be studied by whole genome shotgun metagenomic sequencing (WGSM).By detection of bacterial genes for metabolic digestive enzymes of taxa present, metabolic capacities and potential production of metabolites by the gut microbiome will be predicted.Sequences would be denoised, operational taxonomic units (OTUs) generated and chimeras removed .The intestinal microbiome will be studied by whole genome shotgun metagenomic sequencing (WGSM) .By detection of bacterial genes for metabolic digestive enzymes of taxa present, metabolic capacities and potential production of metabolites by the gut microbiome will be predicted.
STATISTICAL ANALYSIS:
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
No intervention
Time frame: Day 0 & 6 months
Time frame: Day 0
Time frame: Day 0
Time frame: Day 0
Institute of Liver and Biliary Sciences, India
Other
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