Evidence map›Paper›PMID 41295333›Full record

ArticleMetabolites2025

LC-MS/MS Detection of Tryptophan, Kynurenine, Kynurenic Acid, and Quinolinic Acid in Urine Samples from Drug-Positive and Illicit Drug-Negative Patients with a Known History of Substance Use Disorder.

Lindsey Contella, Christopher L Farrell, Luigi Boccuto, Alain H Litwin, Hunter Flanagan, Stacy E F Melanson, Nicole V Tolan, Marion L Snyder, Dina N Greene

Abstract read
In one paragraph

Article in Metabolites, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

9 authors.

Lindsey ContellaHealthcare Genetics and Genomics, School of Nursing, Clemson University, Clemson, SC 29631, USA.ORCID 0009-0004-8549-5299
Christopher L FarrellHealthcare Genetics and Genomics, School of Nursing, Clemson University, Clemson, SC 29631, USA.
Luigi BoccutoHealthcare Genetics and Genomics, School of Nursing, Clemson University, Clemson, SC 29631, USA.ORCID 0000-0003-2017-4270
Alain H LitwinSchool of Health Research, Clemson University, Clemson, SC 29631, USA.
Hunter FlanaganLuxor Scientific, LLC, Greenville, SC 29607, USA.
Stacy E F MelansonDepartment of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Nicole V TolanDepartment of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Marion L SnyderLuxor Scientific, LLC, Greenville, SC 29607, USA.
Dina N GreeneDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCurrently, there are few tools for monitoring recovery in substance use disorder. As substance use has increased in prevalence, tools for measuring recovery are needed to improve therapeutic outcomes. Measuring the kynurenine pathway for imbalances in metabolites could be a possible solution to monitor recovery.

methodsWe developed a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method to quantify tryptophan, kynurenine, kynurenic acid, and quinolinic acid in urine. Metabolites were separated using a stepwise gradient and detected with an Agilent 6460 triple quadrupole mass analyzer. The samples were extracted using a simple protein precipitation protocol. Method validation was performed using routine toxicology urine samples and laboratory contrived samples. The performance characteristics assessed included precision, linearity, stability, interference, and matrix effects. Additionally, urine samples from two cohorts (illicit drug-negative and drug-positive;

resultsThe LC-MS/MS assay was linear from 195 to 100,000 ng/mL for tryptophan, 6 to 3000 ng/mL for kynurenine, 14 to 7200 ng/mL for kynurenic acid, and 125 to 64,000 ng/mL for quinolinic acid using an 8-point calibration curve. Imprecision ranged from 1.17% to 12.46% CV using two controls that spanned the analytical measurement range. Matrix effects were observed; however, the use of labeled internal standards matching the metabolites of interest minimized the impact on quantification. The extraction recovery efficiency was acceptable for the analytical validation. Ambient stability extended to 10 days, resulting in individual sample biases of up to 22%. A statistically significant increase in TRP, KYN, and QA was observed in drug-positive urine compared to illicit drug-negative urine (

conclusionWe developed a rapid and sensitive LC-MS/MS method for quantifying tryptophan, kynurenine, kynurenic acid, and quinolinic acid in urine that can aid in future research elucidating the relationship between substance use disorders and tryptophan metabolism.

Indexed as

kynurenineLC-MS/MSserotoninsubstance use disordertryptophanurine

Identifiers

PMID41295333
PMCPMC12654100

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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.