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Integrated Multi-Omics Analysis of Treatment-Naive Patients With Chronic HBV Infection (HBV-MultiOmics)

2026년 11월 8일 업데이트: Minghui Li, Beijing Municipal Administration of Hospitals

Cross-Sectional Integrated Multi-Omics Study of Treatment-Naive Patients With Chronic Hepatitis B Virus Infection

This is a single-center, cross-sectional, observational study involving approximately 1,000 treatment-naive patients with chronic hepatitis B virus (HBV) infection at Beijing Ditan Hospital, Capital Medical University.

The study aims to investigate the relationship between HBV genetic characteristics, host molecular profiles, and clinical features of chronic HBV infection. Clinical and laboratory information, including liver function tests, HBV DNA levels, hepatitis B surface antigen (HBsAg) levels, and liver fibrosis assessments, will be collected from eligible participants.

Existing clinical data and stored serum samples will be used when authorized and approved by the Ethics Committee. Newly enrolled participants will contribute residual serum samples obtained after routine clinical testing. No additional blood collection or experimental treatment will be required for this study.

HBV whole-genome sequencing data will be analyzed to characterize viral genotypes, mutations, and viral diversity. In approximately 300 selected participants, serum metabolomics, quantitative proteomics, and immune-related factors will also be examined.

By integrating viral, metabolic, protein, immune, and clinical data, this study aims to identify molecular features and potential biomarkers associated with liver inflammation, early liver fibrosis, viral replication, and HBsAg expression. The findings may help improve understanding of differences among patients with chronic HBV infection and provide a basis for future research on risk assessment and disease management.

연구 개요

상태

아직 모집하지 않음

정황

만성 B형 간염

상세 설명

Study Design This is a single-center, prospective, cross-sectional, observational, and non-interventional study conducted at Beijing Ditan Hospital, Capital Medical University. Approximately 1,000 treatment-naive patients with chronic HBV infection will be included, consisting of approximately 400 eligible existing cases and 600 prospectively enrolled participants.

Study Population Eligible participants will have persistent hepatitis B surface antigen (HBsAg) positivity for more than six months and a diagnosis of chronic HBV infection. Participants must not have received nucleos(t)ide analogues, interferon, or other specified treatments that may significantly affect the study-related indicators before the observation time point.

Patients with other viral hepatitis infections, autoimmune liver disease, alcoholic liver disease, advanced cirrhosis, or hepatocellular carcinoma will be excluded.

Data and Sample Collection Demographic characteristics, clinical history, liver biochemical parameters, liver fibrosis assessment results, and HBV-related virological indicators will be collected from medical records and study databases.

Existing clinical data and stored serum samples will be used only after verification of their original consent and authorization for secondary use, subject to ethics approval. For prospectively enrolled participants, residual serum samples from routine clinical testing will be collected. No additional research-related blood collection will be performed, and routine clinical management will not be altered.

Multi-Omics Analysis HBV whole-genome sequencing data will be used to characterize viral genotypes, subtypes, mutations, and quasispecies diversity. Existing authorized sequencing data will be prioritized, with supplementary sequencing performed when necessary.

Approximately 300 representative participants will be selected according to HBV genotype, HBeAg status, ALT levels, and liver fibrosis status for host multi-omics analyses, including:

Untargeted serum metabolomics using ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS).
Quantitative proteomics using tandem mass tag (TMT)-based technology.
Multiplex immune factor analysis to measure inflammatory, anti-inflammatory, and chemokine-related molecules.

Statistical Analysis Statistical analyses will be performed using R software. Group comparisons, correlation analyses, multivariable regression, pathway enrichment, and integrated multi-omics analyses will be conducted. Machine learning methods, including LASSO regression and random forest or XGBoost when appropriate, will be explored to identify relevant molecular features and develop models for clinical phenotypes such as elevated ALT and early liver fibrosis.

Study Objectives The primary objective is to investigate associations between HBV genomic characteristics, host multi-omics profiles, and clinical phenotypes. The study also aims to identify potential biomarkers associated with liver inflammation, early fibrosis, viral replication, and HBsAg expression.

This is an observational study. No investigational drugs, medical devices, or therapeutic interventions will be administered. The study is not designed to establish causal relationships or directly evaluate long-term clinical outcomes.

연구 유형

관찰

등록 (추정된)

1000

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 장소

중국
- Beijing Municipality
  - Beijing, Beijing Municipality, 중국, 100015
    - Beijing Ditan Hospital, Capital Medical University

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

공부할 수 있는 나이

18년 이상 (성인, 고령자)

건강한 자원 봉사자를 받아들입니다

아니

연구 대상 성별

모두

샘플링 방법

비확률 샘플

연구 인구

The study population consists of approximately 1,000 treatment-naive patients with chronic hepatitis B virus (HBV) infection at Beijing Ditan Hospital, Capital Medical University. The study includes approximately 400 eligible existing cases and 600 prospectively enrolled participants. Participants represent different clinical phases of chronic HBV infection. Approximately 300 representative participants will be selected according to HBV genotype, HBeAg status, ALT levels, and liver fibrosis status for multi-omics analyses. Both male and female participants are eligible. No healthy volunteers will be included.

설명

Inclusion Criteria:

Persistent hepatitis B surface antigen (HBsAg) positivity for more than 6 months.
Diagnosis of chronic hepatitis B virus (HBV) infection.
No previous treatment with nucleos(t)ide analogues or interferon before the study observation time point.
No previous use of immunomodulatory agents or hepatoprotective and anti-inflammatory medications that may significantly affect the study-related indicators before the observation time point.
Availability of demographic, clinical biochemical, and virological data required for the study.
Availability of stored serum samples that can be accurately matched with clinical data and meet the quality requirements for subsequent analyses.
For existing cases, reuse of clinical data and samples must comply with the ethics committee's approval and applicable informed consent requirements. Prospectively enrolled participants must provide written informed consent.

Exclusion Criteria:

Coinfection with other viral hepatitis infections, including hepatitis A, C, or E.
Concurrent autoimmune liver disease.
Alcohol-associated liver disease.
Advanced liver cirrhosis.
Hepatocellular carcinoma.
Incomplete clinical records, virological data, or stored serum samples that do not meet the requirements for the planned analyses.

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

관찰 모델: CASE_ONLY
시간 관점: CROSS_SECTIONAL

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정	측정값 설명	기간
Serum ALT Level by HBV Genomic Characteristic Group 기간: Baseline	HBV genotypes, subgenotypes, genomic mutations, and quasispecies heterogeneity will be characterized using HBV whole-genome sequencing data. Serum alanine aminotransferase (ALT) levels will be obtained from routine clinical laboratory records and expressed in units per liter (U/L). The association between HBV genomic characteristics and serum ALT levels will be evaluated using appropriate statistical methods.	Baseline

2차 결과 측정

결과 측정	측정값 설명	기간
APRI Score by HBV Genomic Characteristic Group 기간: Baseline	The Aspartate Aminotransferase-to-Platelet Ratio Index (APRI) will be calculated using serum AST levels and platelet counts obtained from routine clinical laboratory records. APRI is a dimensionless index. HBV genomic characteristics will be determined using HBV whole-genome sequencing data. APRI values will be compared across prespecified HBV genomic characteristic groups.	Baseline
FIB-4 Index by HBV Genomic Characteristic Group 기간: Baseline	The Fibrosis-4 (FIB-4) index will be calculated using age, serum AST, serum ALT, and platelet count obtained from clinical records. FIB-4 is a dimensionless index. HBV genomic characteristics will be determined using HBV whole-genome sequencing data. FIB-4 values will be compared across prespecified HBV genomic characteristic groups.	Baseline
Liver Stiffness Measurement by HBV Genomic Characteristic Group 기간: Baseline	Liver stiffness measurement (LSM) will be obtained from available clinical liver elastography records and expressed in kilopascals (kPa). HBV genomic characteristics will be determined using HBV whole-genome sequencing data. LSM values will be compared across prespecified HBV genomic characteristic groups.	Baseline
Serum HBV DNA Level by HBV Genomic Characteristic Group 기간: Baseline	Serum HBV DNA levels will be obtained from routine clinical virological testing and expressed in international units per milliliter (IU/mL). HBV genomic characteristics, including genotypes, genomic mutations, and quasispecies features, will be determined using HBV whole-genome sequencing data. Serum HBV DNA levels will be compared across prespecified HBV genomic characteristic groups.	Baseline
Quantitative HBsAg Level by HBV Genomic Characteristic Group 기간: Baseline	Serum quantitative hepatitis B surface antigen (HBsAg) levels will be obtained from routine clinical laboratory records and expressed in international units per milliliter (IU/mL). HBV genomic characteristics will be determined using HBV whole-genome sequencing data. Quantitative HBsAg levels will be compared across prespecified HBV genomic characteristic groups.	Baseline
Serum Metabolomic Profiles 기간: Baseline	Untargeted serum metabolomic profiling will be performed in approximately 300 selected participants using ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS). Metabolites, including lipids, amino acids, bile acids, carbohydrates, and organic acids, will be profiled. The primary data output will consist of normalized relative metabolite abundance values (arbitrary units). Metabolomic profiles will be compared across prespecified clinical and virological subgroups.	Baseline
Serum Quantitative Proteomic Profiles 기간: Baseline	Serum quantitative proteomic profiling will be performed in selected participants using tandem mass tag (TMT)-based quantitative proteomics. Protein expression profiles, including inflammation-related proteins and fibrosis-related proteins, will be characterized. Protein abundance will be expressed as normalized relative quantitative values derived from TMT reporter ion intensities (arbitrary units). Differential protein expression across prespecified clinical and virological subgroups will be evaluated.	Baseline
Serum Immune-Related Factor Profiles 기간: Baseline	Serum immune-related factors will be quantified in selected participants using a multiplex bead-based assay (Luminex technology). The panel includes tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), interleukin-2 (IL-2), interferon-gamma (IFN-γ), interleukin-10 (IL-10), CXCL8, and IP-10 (CXCL10). Factor concentrations will be determined using standard calibration curves and expressed in picograms per milliliter (pg/mL), subject to assay quantification limits. Differences in immune factor concentrations across prespecified clinical and virological subgroups will be evaluated.	Baseline

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

스폰서

Beijing Municipal Administration of Hospitals

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작 (추정된)

2026년 11월 1일

기본 완료 (추정된)

2027년 8월 31일

연구 완료 (추정된)

2028년 10월 1일

연구 등록 날짜

최초 제출

2026년 10월 31일

QC 기준을 충족하는 최초 제출

2026년 11월 8일

처음 게시됨 (실제)

2026년 11월 13일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)