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Study on Proteomic and Microbiome Changes in Patients With Hepatic Encephalopathy (HE)

Study on Proteomic and Microbiome Changes in Patients With Hepatic Encephalopathy (HE)

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07150195
Enrollment
32
Registered
2025-09-02
Start date
2025-09-30
Completion date
2026-12-31
Last updated
2025-09-25

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

Conditions

Cirrhoses, Liver, Hepatic Encephalopathy (HE)

Brief summary

The objective of this observational study is to compare the differences in proteomics and gut microbiome between the liver cirrhosis group without hepatic encephalopathy and the hepatic encephalopathy group through proteomics and microbiome analysis, screen out the characteristic proteomics and microbiome of patients with hepatic encephalopathy, guide clinical diagnosis and treatment, and conduct in-depth research on the pathogenesis of hepatic encephalopathy. The main questions it aims to answer are: Are there any differences in serum proteomes between patients with liver cirrhosis without hepatic encephalopathy and those with hepatic encephalopathy? If so, what are the main protein differences? There are differences in the fecal microbiome between patients with liver cirrhosis without hepatic encephalopathy and those with hepatic encephalopathy? If so, what are the main microbial differences? This study will screen for the differences in proteomes and gut microbiomes between patients with liver cirrhosis without hepatic encephalopathy and those with hepatic encephalopathy, and identify the characteristic proteomes and microbiomes of patients with hepatic encephalopathy to guide clinical diagnosis and treatment.

Interventions

None listed

Sponsors

The First Affiliated Hospital with Nanjing Medical University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to 85 Years
Healthy volunteers
No

Inclusion criteria

For the NHE (No Hepatic Encephalopathy) Group: 1. Aged between 18 and 85 years, inclusive. 2. Diagnosis of liver cirrhosis. 3. Normal blood ammonia level. 4. West-Haven Criteria grade 0 for Hepatic Encephalopathy. 5. Normal neurological signs. 6. Normal neuropsychological test results. 7. Willing to participate and provides written informed consent. For the CHE (Covert Hepatic Encephalopathy) Group: 1. Aged between 18 and 85 years, inclusive. 2. Diagnosis of liver cirrhosis. 3. Elevated blood ammonia level. 4. Diagnosis of Covert Hepatic Encephalopathy (West-Haven Criteria grade 0 or I). * Grade 0: No personality or behavioral changes but abnormal neuropsychological tests. * Grade I: Mild cognitive impairment, lack of awareness, euphoria or anxiety, shortened attention span, or impaired performance of addition/subtraction. 5. Neurological signs are normal or mild asterixis (flapping tremor) may be elicited. 6. Neuropsychological tests are abnormal. 7. Willing to participate and provides written informed consent.

Exclusion criteria

1. Diagnosis of any malignant tumor. 2. History of treatment for any malignant tumor. 3. Presence of severe concomitant cardiac, pulmonary, cerebral, or renal diseases, or severe diabetic complications. 4. Use of antibiotics, prebiotics, probiotics, or proton pump inhibitors within the three months prior to enrollment. 5. Pregnancy, lactation, or puerperium.

Design outcomes

Primary

MeasureTime frameDescription
Microbiological and proteomic measurementsSeptember 2025 - June 20261. Microbiome Alpha Diversity (Shannon Index) Variable Name: Shannon Index Unit of Measure: Unitless (Shannon Index is a dimensionless quantity) Description: Alpha diversity assessed from 16S rRNA sequencing data using the Shannon Index, analyzed via QIIME. 2. Relative Abundance of Specific Bacterial Taxa Variable Name: Relative Abundance Unit of Measure: % Description: The relative abundance of specific bacterial taxa, derived from 16S rRNA sequencing data analyzed using QIIME. 3. Proteomic Abundance of Specific Proteins Variable Name: Protein Abundance Unit of Measure: Arbitrary Intensity Units Description: Abundance of specific proteins measured by mass spectrometry-based proteomic analysis.

Secondary

MeasureTime frameDescription
1.Demographic and Clinical Characteristics Assessment using Data Collection Forms 2.Cognitive Function Assessment using Mini-Mental State Examination (MMSE) 3.Laboratory Blood Parameters Measured by Standard Clinical Laboratory AssaysSeptember 2025 - June 2026I. Participant Characteristics Sex (n) Height (m) Weight (kg) Body Mass Index, BMI (kg/m²) Disease Duration (months) Description: Data collected via questionnaire, medical record review, and physical measurement. BMI was calculated from height and weight. II. Cognitive Function Mini-Mental State Examination, MMSE Score (points, 0-30) III. Laboratory Parameters - Hematology Hemoglobin (g/dL) White Blood Cell Count (×10⁹/L) Platelet Count (×10⁹/L) IV. Laboratory Parameters - Coagulation Prothrombin Time (s) V. Laboratory Parameters - Liver Function and Metabolism Blood Ammonia (μmol/L) Serum Albumin (g/dL) Alanine Aminotransferase, ALT (U/L) Aspartate Aminotransferase, AST (U/L)

Countries

China

Contacts

Primary ContactWenfang Cheng
chengwenfang@aliyun.com(+86)13062589271

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026