Evidence map›Paper›PMID 38217408›Full record

ReviewExpert review of clinical pharmacology

Biomarker discovery in acetaminophen hepatotoxicity: leveraging single-cell transcriptomics and mechanistic insight.

David S Umbaugh, Hartmut Jaeschke

Open access · greenAbstract readReview
In one paragraph

Review in Expert review of clinical pharmacology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.7field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. The p21Toxicology · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

David S UmbaughDepartment of Pharmacology, Toxicology & Therapeutics, University of Kansas Medical Center, Kansas, KS, USA.ORCID 0000-0002-5327-9020
Hartmut JaeschkeDepartment of Pharmacology, Toxicology & Therapeutics, University of Kansas Medical Center, Kansas, KS, USA.ORCID 0000-0002-8695-6980
University of Kansas Medical Center · US

Funding

Nuclear Receptors in Liver Health and DiseaseP20GM103549 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI JAESCHKE, HARTMUT W. · 2012 to 2015
$8.1M
Pilot Grants ProgramP30GM118247 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI JAESCHKE, HARTMUT W. · 2016 to 2020
$5.5M
Autophagy and Drug-Induced Liver InjuryR01DK102142 · NIDDK · UNIVERSITY OF KANSAS MEDICAL CENTER · PI DING, WEN-XING, JAESCHKE, HARTMUT W. · 2014 to 2022
$2.7M
Mitochondrial Dysfunction and Drug HepatotoxicityR01DK070195 · NIDDK · UNIVERSITY OF KANSAS MEDICAL CENTER · PI JAESCHKE, HARTMUT W. · 2005 to 2010
$1.8M
Senescent hepatocytes mediate reprogramming of immune cells in acute liver failureF31DK134197 · NIDDK · UNIVERSITY OF KANSAS MEDICAL CENTER · PI UMBAUGH, DAVID SCOTT · 2023 to 2024
$46k
NIDDK NIH HHS F31 DK134197NIDDK NIH HHS R01 DK070195NIDDK NIH HHS R01 DK102142NIGMS NIH HHS P20 GM103549NIGMS NIH HHS P30 GM118247
6 · The paper itself

Abstract

introductionAcetaminophen (APAP) overdose is the leading cause of drug-induced liver injury and can cause a rapid progression to acute liver failure (ALF). Therefore, the identification of prognostic biomarkers to determine which patients will require a liver transplant is critical for APAP-induced ALF. AREAS COVERED: We begin by relating the mechanistic investigations in mouse models of APAP hepatotoxicity to the human APAP overdose pathophysiology. We draw insights from the established sequence of molecular events in mice to understand the progression of events in the APAP overdose patient. Through this mechanistic understanding, several new biomarkers, such as CXCL14, have recently been evaluated. We also explore how single-cell RNA sequencing, spatial transcriptomics, and other omics approaches have been leveraged for identifying novel biomarkers and how these approaches will continue to push the field of biomarker discovery forward. EXPERT OPINION: Recent investigations have elucidated several new biomarkers or combination of markers such as CXCL14, a regenerative miRNA signature, a cell death miRNA signature, hepcidin, LDH, CPS1, and FABP1. While these biomarkers are promising, they all require further validation. Larger cohort studies analyzing these new biomarkers in the same patient samples, while adding these candidate biomarkers to prognostic models will further support their clinical utility.

Indexed as

Chemical and Drug Induced Liver InjuryLiver Failure, AcuteMicroRNAsAcetaminophenAnimalsBiomarkersGene Expression ProfilingHumansMiceAcetaminophenBiomarkersMicroRNAsacetaminophen-induced liver injuryBiomarkersCXCL14drug-induced liver injuryliver transplantationMELDomicsSingle-cell RNA sequencing

Identifiers

PMID38217408
PMCPMC10872301
OpenAlexW4390841382

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.