Screening of Susceptibility Genes for APAP Induced Drug Induced LIver Injury in ChiNese Population: a Case-control Study (PAIN)

Pharmacogenomics of APAP Induced DILI in Chinese Population.

Acetaminophen (APAP) is the most commonly used NSAIDS in clinic, and it is also a common cause of drug-induced liver injury (DILI). In 2012, the proportion of DILI caused by APAP in the United States was 51%, while in Asia, it was only 7.10%. Previously, a small cohort study in the United States screened for some of the susceptibility genes for DILI due to APAP by the Genome wide association study (GWAS) method. However, the genetic susceptibility loci based on the US cohort were not applicable to the Chinese population. Therefore, we make a study design include Chinese population who ingested APAP and divided them into case group and control group according to the occurrence of DILI. We hope to be able to find the root of differences at the genetic level and explore new pathogenic mechanisms.

Study Overview

Detailed Description

I. Study Object

(i) Into the group strategy: continuous into group.

(ii) Grouping strategy:

  1. Case group.

    Inclusion criteria:

    • A clear history of acetaminophen (or acetaminophen-containing drugs) ingestion.
    • Plasma and/or urine testing for acetaminophen components if history of ingestion is unclear.
    • Monitoring of Alanine aminotransferase (ALT) or Aspartate Aminotransferase (AST) ≥ 1000 IU/L at any time after APAP administration and Roussel Causality Assessment Method(RUCAM) score > 6
    • Age ≥ 14 years old.
    • The subject or guardian agrees to participate in this project and signs an informed consent form.

    Exclusion criteria: •The use of drugs for which frequency of adverse reactions to liver damage is defined as "common or very common" (≥1%) in the instructions.

    • Concurrent use of herbs that are clearly susceptible to liver damage (see list of definitions in the Annex).
    • Have a known definite cause of liver damage: active viral hepatitis; alcoholic liver disease; autoimmune liver disease; primary or secondary liver tumors; and other underlying liver disease that has affected liver function.
    • Those who fail to provide complete general information and clinical information.
    • Subjects or guardians who do not agree to see this project do not sign the informed consent form.
  2. Control group

    Inclusion criteria:

    • A clear history of acetaminophen (or acetaminophen-containing drugs) ingestion.
    • Plasma and/or urine testing for acetaminophen components if history of APAP ingestion is unclear.
    • Age: ≥ 14 years old.
    • The subject or guardian agrees to participate in this project and signs an informed consent form.

    Exclusion criteria: •The use of drugs for which frequency of adverse reactions to liver damage is defined as "common or very common" (≥1%) in the instructions.

    •Concurrent use of herbs that are clearly susceptible to liver damage (see list of definitions in the Annex).

    •There are known definite causes of liver damage (see attached list of definitions): active viral hepatitis; alcoholic liver disease; autoimmune liver disease; primary or secondary liver tumors; and other underlying liver disease that has affected liver function.

    •Those who fail to provide complete general information and clinical information.

    •Subjects or guardians who do not agree to see this project do not sign the informed consent form.

    (iii) Matching strategy.

    Matching principle:

    •Case and control participants were matched according to ingested dose, duration of antidote administration, and duration of gastric lavage.

    •1:2 matching.

    Confounding factors:

    •Dose intake: patient report (primary) + blood concentration test (secondary)

    •Antidote use time: <4 hours, 4-24 hours, >24 hours

    •Gastric lavage time: <1 hour, ≥1 hour

    (iv) Estimation of sample size

    Parameter source:

    • Focus on drug metabolizing enzymes, immunogenic loci
    • The distribution of APAP-dependent DILI susceptibility allele frequencies in Asian populations based on literature findings.

2. Parameter value:

  • Hypothesis: Gene-Environment.
  • Outcome Model: Baseline risk P0=0.10.
  • Genetic Effect =1.2,
  • Power=0.8, Type I error rate=0.05 (two-sided).

Results: The case sample size should be 113 with a control sample size of 226.

II. Exposure/risk factors.

(i) Definition. Exposure factors refer to susceptibility genes for DILI caused by APAP, including:

  • 2,036,060 marker sites
  • Human Leukocyte Antigen (HLA) :HLA-A and HLA-B immune loci.
  • Genotype-Imputation.

(ii) Measurement methods.

  1. Adopt candidate gene strategy. The candidate gene strategy is a flexible approach with low cost, relatively simple quality control and statistical analysis, and a relatively easy biological explanation behind the association because the genes selected are all important for the disease.
  2. Using the hypothesis-driven approach. Considering the hypothesis that some specific genes may be associated with the study outcome, a sequence-based approach was chosen for the analysis of potentially functional single nucleotide polymorphism (SNPs), selecting SNPs that are more likely to be of functional value associated with drug metabolizing enzymes, immunogenic loci, drug transport proteins, drug-acting receptors and other links, especially those located in candidate genes coding regions.
  3. Using custom chips. The Expanded Multi-Ethnic Genotyping Array (MEGAEX), a microarray built by consortia with enhanced capabilities to understand complex diseases in a variety of populations. This commercially available microarray determines individual drug response through the detection of 2,036,060 marker loci. It also complements HLA-A and HLA-B immune loci information to complete Genotype-Imputation.

III. Quality control The study has a strict standard test operation procedure, and relevant training is conducted for the personnel involved in the test before the start of the experiment, and the test can only be conducted after passing the training. We have a quality control center with dedicated personnel responsible for subject progress and data quality control. An online digital randomization platform and information entry management system is set up based on the web server terminal, which is capable of timely case randomization grouping and electronic clinical case observation form information entry, and can effectively and automatically check and correct errors during the information entry process. That is, it helps to ensure the accuracy and reliability of the entered information, and can provide real-time data monitoring for the supervisors. In addition, this study will monitor the conduct of experiments and data entry.

IV. Data Management Plan

  • Data Center: The data management center established by the national data management standard undertakes data management work.
  • Data management system: REDCap is used to establish electronic case report forms for online data collection and management.
  • Data collection: Data entry by independent data registrants not involved in the study in the study lead unit.
  • Data consistency monitoring: Data consistency monitoring by an independent third-party monitor.
  • Data audit and locking: Data is audited, cleaned and locked by a dedicated data manager.

V. Statistical analysis plan

(i) Hypothesis testing. H0: No difference in genes between subjects with and without liver damage after ingestion of APAP H1: Significant genetic differences between subjects with and without liver damage after ingestion of APAP

(ii) Analytical strategies.

  • Continuous variables were described as mean ± standard deviation (SD) or median of interquartile range (IQR), and differences between groups were analyzed by two-factor ANOVA or nonparametric tests. Categorical variables were expressed as numbers and percentages and analyzed by logistic regression models.
  • Hardy-Weinberg equilibrium (HWE) between control groups was tested using the goodness-of-fit χ2 test. Using haplotype analysis view(Haploview) 4.2 software, the haplotype region group was selected considering the linkage disequilibrium between tags of single nucleotide polymorphisms (tagSNPs).
  • Multivariate conditional logistic regression analysis was performed to estimate the association between genotype and risk of DILI from APAP by dominance ratios (ORs) and 95% confidence intervals (CIs) with gastric lavage and antidote use as covariates.
  • Three different genetic models were used to synthesize the role of tagSNPs. Software package for Hardy-weinberg analysis(SHEsis) online program was used for haplotype analysis under logistic regression model.
  • All analyses were performed using Statistics is a powerful statistical software platform(SPSS) for Windows (version 26.0 USA). Two-tailed P values <0.05 were considered statistically significant.

Study Type

Observational

Enrollment (Estimated)

339

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Jiangsu
      • Nanjing, Jiangsu, China
        • Recruiting
        • The First Affiliated Hospital with Nanjing Medical University
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

14 years and older (Child, Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

history of acetaminophen exposure

Description

Inclusion criteria:

  • A clear history of acetaminophen (or acetaminophen-containing drugs) ingestion.
  • Plasma and/or urine testing for acetaminophen components if history of ingestion is unclear.
  • Monitoring of Alanine aminotransferase (ALT) or Aspartate Aminotransferase (AST) ≥ 1000 IU/L at any time after APAP administration and Roussel Uclaf Causality Assessment Method(RUCAM) score > 6
  • Age ≥ 14 years old
  • The subject or guardian agrees to participate in this project and signs an informed consent form.

Exclusion criteria:

  • The use of drugs for which frequency of adverse reactions to liver damage is defined as "common or very common" (≥1%) in the instructions.
  • Concurrent use of herbs that are clearly susceptible to liver damage (see list of definitions in the Annex).
  • Have a known definite cause of liver damage: active viral hepatitis; alcoholic liver disease; autoimmune liver disease; primary or secondary liver tumors; and other underlying liver disease that has affected liver function.
  • Those who fail to provide complete general information and clinical information.
  • Subjects or guardians who do not agree to see this project do not sign the informed consent form.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
APAP_DILI

(①/②)+③+④:

① history of acetaminophen exposure ② abnormal acetaminophen concentration in blood or urine:≥150µg/mL after 4 hour ,≥4.5µg/mL at anytime,measurable ≥24 hours③ liver impairment:Alanine aminotransferase (ALT) or Aspartate Aminotransferase (AST) ≥ 1000 IU/L ④ liver impairment is caused by acetaminophen:Russel U-Calf Causality Assessment Method(RUCAM) causality score>6

Observe the genetic polymorphism frequency difference between case and control groups
APAP_NO-DILI(NDILI)

(①/②)not(③/④):

① history of acetaminophen exposure ② abnormal acetaminophen concentration in blood or urine:≥150µg/mL after 4 hour ,≥4.5µg/mL at anytime,measurable ≥24 hours③ liver impairment:ALT or AST ≥ 1000 IU/L④ liver impairment is caused by acetaminophen:RUCAM causality score>6

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
genetic polymorphism
Time Frame: 2 year
the genetic polymorphism(HLA、SNPs )frequency difference between case and control groups
2 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Chair: Jingsong Zhang, professor, The First Affiliated Hospital with Nanjing Medical University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

August 31, 2020

Primary Completion (Estimated)

December 31, 2025

Study Completion (Estimated)

December 31, 2026

Study Registration Dates

First Submitted

July 7, 2021

First Submitted That Met QC Criteria

July 14, 2021

First Posted (Actual)

July 16, 2021

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

February 24, 2025

Last Verified

February 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

Yes

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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