Test Detects Overdose Patients at Risk of Liver Damage
|
By LabMedica International staff writers Posted on 28 Nov 2017 |

Image: A histopathology of extensive hepatocyte necrosis seen here in a case of paracetamol overdose. The hepatocytes at the right are dead, and those at the left are dying. This pattern can be seen with a variety of hepatotoxins (Photo courtesy of the University of Utah Medical School).
Paracetamol is a safe analgesic drug when taken at therapeutic doses; however, in overdose, paracetamol is hepatotoxic and is the most common cause of acute liver failure in the USA and Europe.
Current markers, serum alanine aminotransferase (ALT) activity and paracetamol concentration, lack sensitivity and specificity when measured soon after overdose such as at initial presentation to hospital. These limitations are further compounded in staggered overdose, for which there is an increased acute liver injury risk, but for which treatment nomograms are not recommended.
A team of medical scientists by the University of Liverpool (Liverpool, UK) and the University of Edinburgh (Edinburgh, UK) recruited two cohorts to assess the potential for biomarkers to stratify patients who overdose with paracetamol. The team completed two independent prospective studies: a derivation study (MAPP) in eight UK hospitals and a validation study (BIOPAR) in ten UK hospitals. Patients in both cohorts were adults (≥18 years in England, ≥16 years in Scotland), were diagnosed with paracetamol overdose.
Blood sample taken at first presentation to hospital was stored at −80 °C as plasma or serum. All blood results from the first hospital admission were recorded (paracetamol, alkaline phosphatase, γ-glutamyl transferase, bilirubin, creatinine, and alanine aminotransferase (ALT) concentration, prothrombin time, and international normalized ratio [INR]). The primary endpoint was acute liver injury indicating need for continued acetylcysteine treatment beyond the standard course (ALT activity >100 U/L.
The reference standard of injury was ALT concentration. MicroRNA-122 (miR-122), high mobility group box-1 (HMGB1), caspase-cleaved keratin-18 (K18), full-length K18, and glutamate dehydrogenase (GLDH) were measured in the admission blood sample, with miR-122 measured by polymerase chain reaction (PCR) and other markers measured by enzyme-linked immunosorbent assay (ELISA). Each biomarker was measured in each sample in duplicate. miR-122 concentration was expressed with reference to the circulating microRNA let-7d as the internal microRNA normalizer.
The team reported that between June 2, 2010, and May 29, 2014, 1,187 patients who required acetylcysteine treatment for paracetamol overdose were recruited (985 in the MAPP cohort; 202 in the BIOPAR cohort). In the derivation and validation cohorts, acute liver injury was predicted at hospital presentation by miR-122, HMGB1, and full-length K18, and results were similar in the validation cohort. A combined model of miR-122, HMGB1, and K18 predicted acute liver injury better than ALT alone.
James W Dear, FRCP, the lead author of the study, said, “Paracetamol overdose is very common and presents a large workload for already over-stretched Emergency Departments. These new blood tests can identify who will develop liver injury as soon as they first arrive at hospital. This could transform the care of this large, neglected, patient group.” The study was published on November 13, 2017, in the journal Lancet Gastroenterology & Hepatology.
Related Links:
University of Liverpool
University of Edinburgh
Current markers, serum alanine aminotransferase (ALT) activity and paracetamol concentration, lack sensitivity and specificity when measured soon after overdose such as at initial presentation to hospital. These limitations are further compounded in staggered overdose, for which there is an increased acute liver injury risk, but for which treatment nomograms are not recommended.
A team of medical scientists by the University of Liverpool (Liverpool, UK) and the University of Edinburgh (Edinburgh, UK) recruited two cohorts to assess the potential for biomarkers to stratify patients who overdose with paracetamol. The team completed two independent prospective studies: a derivation study (MAPP) in eight UK hospitals and a validation study (BIOPAR) in ten UK hospitals. Patients in both cohorts were adults (≥18 years in England, ≥16 years in Scotland), were diagnosed with paracetamol overdose.
Blood sample taken at first presentation to hospital was stored at −80 °C as plasma or serum. All blood results from the first hospital admission were recorded (paracetamol, alkaline phosphatase, γ-glutamyl transferase, bilirubin, creatinine, and alanine aminotransferase (ALT) concentration, prothrombin time, and international normalized ratio [INR]). The primary endpoint was acute liver injury indicating need for continued acetylcysteine treatment beyond the standard course (ALT activity >100 U/L.
The reference standard of injury was ALT concentration. MicroRNA-122 (miR-122), high mobility group box-1 (HMGB1), caspase-cleaved keratin-18 (K18), full-length K18, and glutamate dehydrogenase (GLDH) were measured in the admission blood sample, with miR-122 measured by polymerase chain reaction (PCR) and other markers measured by enzyme-linked immunosorbent assay (ELISA). Each biomarker was measured in each sample in duplicate. miR-122 concentration was expressed with reference to the circulating microRNA let-7d as the internal microRNA normalizer.
The team reported that between June 2, 2010, and May 29, 2014, 1,187 patients who required acetylcysteine treatment for paracetamol overdose were recruited (985 in the MAPP cohort; 202 in the BIOPAR cohort). In the derivation and validation cohorts, acute liver injury was predicted at hospital presentation by miR-122, HMGB1, and full-length K18, and results were similar in the validation cohort. A combined model of miR-122, HMGB1, and K18 predicted acute liver injury better than ALT alone.
James W Dear, FRCP, the lead author of the study, said, “Paracetamol overdose is very common and presents a large workload for already over-stretched Emergency Departments. These new blood tests can identify who will develop liver injury as soon as they first arrive at hospital. This could transform the care of this large, neglected, patient group.” The study was published on November 13, 2017, in the journal Lancet Gastroenterology & Hepatology.
Related Links:
University of Liverpool
University of Edinburgh
Latest Clinical Chem. News
- FDA-Approved Test Identifies Low Risk of Large Esophageal Varices in Cirrhosis
- Blood Protein Signature Diagnoses Pediatric IBD and Distinguishes Subtypes
- Blood Test Detects More High-Risk Prostate Cancers Than PSA
- Rapid Blood Test Aids Diagnosis of Acute Ischemic Stroke
- Blood-Based Alzheimer’s Testing Platform Offers Rapid Results
- Maternal Blood Biomarkers Identify Risk of Preterm and Early-Term Birth
- Simple Oral Swab Monitors Persistent Inflammation in Primary Ciliary Dyskinesia
- Simple Blood-Based Cholesterol Efflux Assay Identifies High-Risk Coronary Plaque Features
- Plasma Vitamin C Levels Associated with Brain Structure and Connectivity in Aging
- Mass Spectrometry Detects Tumor Metabolites for Cancer Monitoring
- Urinary Biomarker Assay Predicts Kidney Disease Progression Beyond Standard Measures
- Saliva-Based Test Detects Biochemical Signs of Sleep Loss
- Simple Dual-Tau Blood Test Detects and Stages Alzheimer’s Disease
- Alzheimer’s Blood Biomarkers Linked to Early Cognitive Differences Before Dementia
- Urine-Based Test Shows Promise for Autism Screening in Children
- Blood-Based Sensor Detects Early Signs of Alzheimer’s and Parkinson’s
Channels
Molecular Diagnostics
view channel
CSF Sequencing Test Aligns with Updated Brain Tumor Guidelines
Accurate genomic characterization of central nervous system tumors can be challenging when surgery or stereotactic biopsy is not feasible because of tumor location, patient health, or surgical risk.... Read more
Point-of-Care PCR Panel Delivers Vaginitis Results in 20 Minutes
Vaginitis is a frequent cause of genital discomfort and can result from bacterial vaginosis, vulvovaginal candidiasis, or trichomoniasis. However, traditional diagnostic methods may be subjective or lack... Read moreHematology
view channel
Next-Generation Hematology Platform Streamlines High-Complexity Lab Workflows
Sysmex America (Chicago, IL, USA) has introduced the next generation XR-Series, centered on the XR-10 Automated Hematology Module for high-complexity laboratories. The platform builds on the widely used... Read more
Blood Eosinophil Count May Predict Cancer Immunotherapy Response and Toxicity
Immune checkpoint inhibitors have improved outcomes across many cancers, yet only a subset of patients derive durable benefit and biomarkers to guide treatment remain limited. Eosinophils, best known for... Read moreImmunology
view channel
Emergency Department Opt-Out Testing Program Identifies Undiagnosed HIV
Undiagnosed HIV continues to drive avoidable morbidity and transmission, with many people identified only after substantial immune damage has occurred. In England, about one in 20 people living with HIV... Read more
Immune Biomarkers Could Identify Risk of Chronic Critical Illness on ICU Admission
Severe traumatic injury can trigger immune and organ dysfunction that complicates recovery in the intensive care unit. A subset of patients develop chronic critical illness, defined as dependence on intensive... Read moreMicrobiology
view channel
H. pylori Screening Within Colorectal Program Aids Gastric Cancer Prevention
Health systems increasingly rely on economic evidence to guide cancer prevention strategies. For gastric cancer, selecting screening approaches that can integrate with existing programs is a key policy question.... Read more
Machine Learning Reveals Consistent Gut Microbiome Patterns in Colorectal Cancer
Colorectal cancer has been repeatedly linked to alterations in the gut microbiome, yet findings have often varied across small, heterogeneous studies. Reproducibility has been limited by differing sequencing... Read morePathology
view channel
Uncertainty-Aware AI Tool Improves Digital Pathology for Cancer Subtyping
Reliable histologic subtyping guides therapy selection in oncology, yet diagnostic workflows grow more complex as whole-slide imaging and artificial intelligence (AI) expand. A persistent obstacle to clinical... Read more
Study Highlights Biomarker Testing Delays in Lung Cancer Care
Timely biomarker results are critical to match lung cancer patients with targeted therapies or immunotherapies, yet many clinical pathways still delay testing after biopsy. Ordering responsibility, reimbursement... Read moreTechnology
view channel
AI Platform Links Biomarker Results to Cancer Clinical Trials and Guidelines
Oncology teams must manage growing volumes of genomic data, rapidly evolving clinical trial options, and frequently updated care guidelines, all within tight clinic schedules. Translating complex tumor... Read more
Agentic AI Platform Supports Genomic Decision-Making in Oncology
Oncology care teams increasingly face the challenge of managing complex molecular diagnostics, evolving treatment options, and extensive electronic health record documentation. Translating multimodal data... Read moreIndustry
view channel
Partnership Integrates Automated DNA Extraction with Single-Molecule Digital PCR
Countable Labs (Palo Alto, CA, USA) and Promega (Madison, WI, USA) have entered a co-marketing agreement that integrates the Promega Maxwell System for nucleic acid extraction with Countable Labs’ Countable... Read more








