Evidence map›Paper›PMID 42632342›Full record

ArticleJournal of chromatography. B, Analytical technologies in the biomedical and life sciences2026

A liquid chromatography- tandem mass spectrometry method for the analysis of oxidative stress, nitrative stress, metabolic, and inflammatory biomarkers in serum: comparison to urinary concentrations.

Ryan J Gainor, Maria-Pilar Martinez-Moral, Kurunthachalam Kannan

Abstract read
In one paragraph

Article in Journal of chromatography. B, Analytical technologies in the biomedical and life sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ryan J GainorWadsworth Center, New York State Department of Health, Albany, New York 12237, United States; Department of Environmental Health Sciences, College of Integrated Health Sciences, State University of New York at Albany, New York 12237, United States.
Maria-Pilar Martinez-MoralWadsworth Center, New York State Department of Health, Albany, New York 12237, United States; Department of Environmental Health Sciences, College of Integrated Health Sciences, State University of New York at Albany, New York 12237, United States.
Kurunthachalam KannanWadsworth Center, New York State Department of Health, Albany, New York 12237, United States; Department of Environmental Health Sciences, College of Integrated Health Sciences, State University of New York at Albany, New York 12237, United States. Electronic address: kurunthachalam.kannan@health.ny.gov.

Funding

Wadsworth Center's Human Health and Exposure Analysis Resource (WC-HHEAR)U2CES026542 · NIEHS · WADSWORTH CENTER · PI KANNAN, KURUNTHACHALAM, KANNAN, KURUNTHACHALAM · 2015 to 2025
$15.6M
NIEHS NIH HHS U2C ES026542
6 · The paper itself

Abstract

Precision medicine relies on the analysis of biofluids to detect and quantify biomarkers, among others, of health effects. Urine and serum are key biofluids that provide critical information about a patient's health and disease burden. In this study, a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was developed and validated for the analysis of 18 serum biomarkers of oxidative stress [dityrosine (diY), 8-hydroxy-2'-deoxyguanosine (8-OHdG), 8-hydroxyguanine (8-HG), and 8-hydroxyguanosine (8-HdG), 8-isoprostaglandin-F

Indexed as

BiomarkersLiquid Chromatography-Mass SpectrometryOxidative StressTandem Mass SpectrometryFemaleHumansLimit of DetectionLinear ModelsMaleNitrosative StressReproducibility of ResultsBiomarkersBiomarkersLC-MSNitrative stressOxidative stressSerumUrine

Identifiers

PMID42632342
PMCPMC13527718

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.