Evidence map›Paper›PMID 29092396›Full record

ArticleChemical research in toxicology2017

Refinement of a Methodology for Untargeted Detection of Serum Albumin Adducts in Human Populations.

George W Preston, Michelle Plusquin, Osman Sozeri, Karin van Veldhoven, Lilian Bastian, Tim S Nawrot, Marc Chadeau-Hyam, David H Phillips

Open access · hybridAbstract read
In one paragraph

Article in Chemical research in toxicology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Human Keratinocyte Responses to Woodsmoke Chemicals.Chemical research in toxicology · 2024
    Article
  4. Quo vadis blood protein adductomics?Archives of toxicology · 2022
    Review
  5. Review
  6. 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

8 authors at 3 institutions in 2 countries.

George W PrestonMRC-PHE Centre for Environment and Health, Department of Analytical, Environmental, and Forensic Sciences, Faculty of Life Sciences and Medicine, King's College London , Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, United Kingdom.ORCID 0000-0003-4812-139X
Michelle PlusquinMRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London , London W2 1PG, United Kingdom.
Osman SozeriMRC-PHE Centre for Environment and Health, Department of Analytical, Environmental, and Forensic Sciences, Faculty of Life Sciences and Medicine, King's College London , Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, United Kingdom.
Karin van VeldhovenMRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London , London W2 1PG, United Kingdom.
Lilian BastianMRC-PHE Centre for Environment and Health, Department of Analytical, Environmental, and Forensic Sciences, Faculty of Life Sciences and Medicine, King's College London , Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, United Kingdom.
Tim S NawrotCentre for Environmental Sciences, Hasselt University , 3590 Hasselt, Belgium.
Marc Chadeau-HyamMRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London , London W2 1PG, United Kingdom.ORCID 0000-0001-8341-5436
David H PhillipsMRC-PHE Centre for Environment and Health, Department of Analytical, Environmental, and Forensic Sciences, Faculty of Life Sciences and Medicine, King's College London , Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, United Kingdom.
King's College London · GBImperial College London · GBHasselt University · BE

Funding

Cancer Research Institute CRUK/A14329Cancer Research UK 14329European Research Council 310898Medical Research Council G0801056/1
6 · The paper itself

Abstract

Covalently modified blood proteins (e.g., serum albumin adducts) are increasingly being viewed as potential biomarkers via which the environmental causes of human diseases may be understood. The notion that some (perhaps many) modifications have yet to be discovered has led to the development of untargeted adductomics methods, which attempt to capture entire populations of adducts. One such method is fixed-step selected reaction monitoring (FS-SRM), which analyses distributions of serum albumin adducts via shifts in the mass of a tryptic peptide [Li et al. (2011) Mol. Cell. Proteomics 10, M110.004606]. Working on the basis that FS-SRM might be able to detect biological variation due to environmental factors, we aimed to scale the methodology for use in an epidemiological setting. Development of sample preparation methods led to a batch workflow with increased throughput and provision for quality control. Challenges posed by technical and biological variation were addressed in the processing and interpretation of the data. A pilot study of 20 smokers and 20 never-smokers provided evidence of an effect of smoking on levels of putative serum albumin adducts. Differences between smokers and never-smokers were most apparent in putative adducts with net gains in mass between 105 and 114 Da (relative to unmodified albumin). The findings suggest that our implementation of FS-SRM could be useful for studying other environmental factors with relevance to human health.

Indexed as

AdultBelgiumBiomarkersBody Mass IndexCohort StudiesHumansMalePilot ProjectsQuality ControlSerum AlbuminSmokingSolid Phase ExtractionBiomarkersSerum Albumin

Identifiers

PMID29092396
PMCPMC5736992
OpenAlexW2766077087

What OpenQuestion holds

Textmetadata
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.