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

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ClinicalTrials.gov Identifier: NCT04964310
Recruitment Status : Recruiting
First Posted : July 16, 2021
Last Update Posted : July 16, 2021
Sponsor:
Collaborators:
University of Colorado, Denver
Beijing Genomics Institute
Nanjing Medical University
Information provided by (Responsible Party):
Hao Sun, The First Affiliated Hospital with Nanjing Medical University

Tracking Information
First Submitted Date July 7, 2021
First Posted Date July 16, 2021
Last Update Posted Date July 16, 2021
Actual Study Start Date August 31, 2020
Estimated Primary Completion Date August 31, 2023   (Final data collection date for primary outcome measure)
Current Primary Outcome Measures
 (submitted: July 14, 2021)
genetic polymorphism [ Time Frame: 2 year ]
the genetic polymorphism(HLA、SNPs )frequency difference between case and control groups
Original Primary Outcome Measures Same as current
Change History No Changes Posted
Current Secondary Outcome Measures Not Provided
Original Secondary Outcome Measures Not Provided
Current Other Pre-specified Outcome Measures Not Provided
Original Other Pre-specified Outcome Measures Not Provided
 
Descriptive Information
Brief Title Screening of Susceptibility Genes for APAP Induced Drug Induced LIver Injury in ChiNese Population: a Case-control Study
Official Title Pharmacogenomics of APAP Induced DILI in Chinese Population.
Brief Summary 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.
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
Study Design Observational Model: Case-Control
Time Perspective: Retrospective
Target Follow-Up Duration Not Provided
Biospecimen Retention:   Samples With DNA
Description:
whole blood for DNA extraction
Sampling Method Non-Probability Sample
Study Population history of acetaminophen exposure
Condition
  • Acetaminophen
  • Drug-Induced Liver Injury
  • Pharmacogenetics
  • China
Intervention Genetic: genetic polymorphism
Observe the genetic polymorphism frequency difference between case and control groups
Study Groups/Cohorts
  • 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

    Intervention: Genetic: genetic polymorphism
  • 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

Publications *

*   Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
 
Recruitment Information
Recruitment Status Recruiting
Estimated Enrollment
 (submitted: July 14, 2021)
339
Original Estimated Enrollment Same as current
Estimated Study Completion Date August 31, 2025
Estimated Primary Completion Date August 31, 2023   (Final data collection date for primary outcome measure)
Eligibility Criteria

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.
Sex/Gender
Sexes Eligible for Study: All
Ages 14 Years and older   (Child, Adult, Older Adult)
Accepts Healthy Volunteers No
Contacts
Contact: Hao Sun, professor 13584017821 ext 86 haosun@njmu.edu.cn
Listed Location Countries China
Removed Location Countries  
 
Administrative Information
NCT Number NCT04964310
Other Study ID Numbers FirstNanjingMUED
Has Data Monitoring Committee No
U.S. FDA-regulated Product
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
IPD Sharing Statement
Plan to Share IPD: No
Current Responsible Party Hao Sun, The First Affiliated Hospital with Nanjing Medical University
Original Responsible Party Same as current
Current Study Sponsor The First Affiliated Hospital with Nanjing Medical University
Original Study Sponsor Same as current
Collaborators
  • University of Colorado, Denver
  • Beijing Genomics Institute
  • Nanjing Medical University
Investigators
Study Chair: Jingsong Zhang, professor The First Affiliated Hospital with Nanjing Medical University
PRS Account The First Affiliated Hospital with Nanjing Medical University
Verification Date July 2021