Evidence map›Paper›PMID 33979922›Full record

ArticleChemosphere2021

Is high resolution a strict requirement for mass spectrometry-based cellular DNA adductomics?

Yuan-Jhe Chang, Marcus S Cooke, Yet-Ran Chen, Shun-Fa Yang, Pei-Shan Li, Chiung-Wen Hu, Mu-Rong Chao

Open access · greenAbstract read
In one paragraph

Article in Chemosphere, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. A Novel Adductomics Workflow IncorporatingEnvironmental science & technology · 2024
    Article
  8. Article
  9. Article
  10. A Comprehensive Database for DNA Adductomics.Frontiers in chemistry · 2022
    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

7 authors at 4 institutions in 2 countries.

Yuan-Jhe ChangDepartment of Occupational Safety and Health, Chung Shan Medical University, Taichung, 402, Taiwan; Department of Medical Research, Chung Shan Medical University Hospital, Taichung, 402, Taiwan.
Marcus S CookeOxidative Stress Group, Department of Cell Biology, Microbiology and Molecular Biology, University of South Florida, Tampa, FL, 33620, USA.
Yet-Ran ChenAgricultural Biotechnology Research Center, Academia Sinica, Taipei, 115, Taiwan.
Shun-Fa YangDepartment of Medical Research, Chung Shan Medical University Hospital, Taichung, 402, Taiwan; Institute of Medicine, Chung Shan Medical University, Taichung, 402, Taiwan.
Pei-Shan LiDepartment of Occupational Safety and Health, Chung Shan Medical University, Taichung, 402, Taiwan.
Chiung-Wen HuDepartment of Public Health, Chung Shan Medical University, Taichung, 402, Taiwan. Electronic address: cwhu0823@gmail.com.
Mu-Rong ChaoDepartment of Occupational Safety and Health, Chung Shan Medical University, Taichung, 402, Taiwan; Department of Occupational Medicine, Chung Shan Medical University Hospital, Taichung, 402, Taiwan. Electronic address: chaomurong@gmail.com.
Chung Shan Medical University Hospital · TWChung Shan Medical University · TWAgricultural Biotechnology Research Center, Academia Sinica · TWUniversity of South Florida · US

Funding

Urinary DNA Adductomics for the Assessment of Exposure to Cancer Risk FactorsR01ES030557 · NIEHS · UNIVERSITY OF SOUTH FLORIDA · PI COOKE, MARCUS STANLEY, HU, CHIUNG-WEN · 2019 to 2023
$1.7M
NIEHS NIH HHS R01 ES030557
6 · The paper itself

Abstract

Exposure to endogenous and exogenous factors can result in the formation of a wide variety of DNA adducts, and these may lead to gene mutations, thereby contributing to the development of cancer. DNA adductomics, a novel tool for exposomics, aims to detect the totality of DNA adducts. Liquid chromatography-high resolution mass spectrometry (LC-HRMS) is the state-of-the-art method for DNA adductomic analysis, although its high cost has limited widespread use. In this study, we compared the analytical performance between HRMS and the more popular/accessible triple-quadrupole MS (QqQ-MS). We initially developed and optimized a hybrid quadrupole-linear ion trap-orbitrap MS (Q-LIT-OT-MS) method, considering the detection of both purine and pyrimidine adducts. LC-Q-LIT-OT-MS and LC-QqQ-MS methods were compared by non-targeted screening of formaldehyde-induced DNA adducts. Using the results from Q-LIT-OT-MS as the gold standard, QqQ-MS successfully detected 12 out of 18 formaldehyde-induced DNA adducts/inter-strand crosslinks (ICLs). QqQ-MS however also produced nine false-positive results owing to the inherent instrumental mass resolution limits. To discriminate the false-positive results from the accurate ones, we firstly introduced a statistical analysis, partial least squares-discriminant analysis, which efficiently excluded the false signals. Six DNA adducts/ICLs were not detected by QqQ-MS, due to insufficient sensitivity. This could be overcome by employing a selected reaction monitoring scan mode with multiple injections. Overall, this study demonstrated that high resolution may not be a strict requirement for MS-based DNA adductomics. LC-QqQ-MS with statistical analysis, could also provide a comparable performance as HRMS for pre-screening purposes.

Indexed as

DNA AdductsTandem Mass SpectrometryChromatography, LiquidDNA AdductsDNA adductomeDNA adducts/Inter-strand crosslinksFormaldehydePLS-DAQ-LIT-OT-MSQqQ-MS

Identifiers

PMID33979922
PMCPMC8119933
OpenAlexW3131818424

What OpenQuestion 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 OpenQuestion graph.