Evidence map›Paper›PMID 39442081›Full record

ArticleJournal of proteome research2024

Detection and Quantification of Drug-Protein Adducts in Human Liver.

Alex Zelter, Michael Riffle, David D Shteynberg, Guo Zhong, Ellen B Riddle, Michael R Hoopmann, Daniel Jaschob, Robert L Moritz, Trisha N Davis, Michael J MacCoss and 1 more

Abstract read
In one paragraph

Article in Journal of proteome research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Role of metabolites in drug-drug interactions.Drug metabolism and pharmacokinetics · 2026
    Review
  4. 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

11 authors.

David D ShteynbergInstitute for Systems Biology, Seattle, Washington 98109, United States.
Guo Zhong
Ellen B Riddle
Michael R HoopmannInstitute for Systems Biology, Seattle, Washington 98109, United States.ORCID 0000-0001-7029-7792
Robert L MoritzInstitute for Systems Biology, Seattle, Washington 98109, United States.ORCID 0000-0002-3216-9447
Trisha N Davis
Michael J MacCossORCID 0000-0003-1853-0256

Funding

Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI NICHOLAS Joseph SCHORK · 2004 to 2026
$102.6M
TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI DAVIS, TRISHA N. · 2012 to 2021
$20.7M
Shortening the development cycle time of Trans Proteomic Pipeline tools with high performance computingR01GM087221 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DEUTSCH, ERIC, MORITZ, ROBERT L · 2010 to 2021
$6.0M
Integrative Omics to enhance therapeutics development for healthy agingUH3AG064706 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI MILLER, RICHARD A, SCHORK, NICHOLAS JOSEPH · 2021 to 2024
$3.3M
Identification and quantification of drug-protein adducts by mass spectrometryR01GM147947 · NIGMS · UNIVERSITY OF WASHINGTON · PI ISOHERRANEN, NINA · 2022 to 2025
$1.8M
Acquisition of Fusion Lumos Orbitrap mass spectrometerS10OD026936 · OD · INSTITUTE FOR SYSTEMS BIOLOGY · PI MORITZ, ROBERT L · 2019 to 2019
$600k
NIA NIH HHS U19 AG023122NIA NIH HHS UH3 AG064706NIGMS NIH HHS P41 GM103533NIGMS NIH HHS R01 GM087221NIGMS NIH HHS R01 GM147947NIH HHS S10 OD026936
6 · The paper itself

Abstract

Covalent protein adducts formed by drugs or their reactive metabolites are risk factors for adverse reactions, and inactivation of cytochrome P450 (CYP) enzymes. Characterization of drug-protein adducts is limited due to lack of methods identifying and quantifying covalent adducts in complex matrices. This study presents a workflow that combines data-dependent and data-independent acquisition (DDA and DIA) based liquid chromatography with tandem mass spectrometry (LC-MS/MS) to detect very low abundance adducts resulting from CYP mediated drug metabolism in human liver microsomes (HLMs). HLMs were incubated with raloxifene as a model compound and adducts were detected in 78 proteins, including CYP3A and CYP2C family enzymes. Experiments with recombinant CYP3A and CYP2C enzymes confirmed adduct formation in all CYPs tested, including CYPs not subject to time-dependent inhibition by raloxifene. These data suggest adducts can be benign. DIA analysis showed variable adduct abundance in many peptides between livers, but no concomitant decrease of unadducted peptides. This study sets a new standard for adduct detection in complex samples, offering insights into the human adductome resulting from reactive metabolite exposure. The methodology presented will aid mechanistic studies to identify, quantify and differentiate between adducts that result in adverse drug reactions and those that are benign.

Indexed as

Microsomes, LiverRaloxifene HydrochlorideTandem Mass SpectrometryChromatography, LiquidCytochrome P-450 CYP3ACytochrome P-450 Enzyme SystemHumansLiverCytochrome P-450 CYP3ACytochrome P-450 Enzyme SystemRaloxifene Hydrochlorideadductcytochrome P450DDADIAmass spectrometryraloxifenereactive metabolite

Identifiers

PMID39442081
PMCPMC11537226

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.