Evidence map›Paper›PMID 39582092›Full record

ArticleJournal of separation science2024

LC-MS-Based Simultaneous Determination of Biomarkers in Dried Urine Spots for the Detection of Cofactor-Dependent Metabolic Disorders in Neonates.

Arya Raveendran, Ashutosh Gupta, Leslie E Lewis, Krishnananda Prabhu, Sudheer Moorkoth

Abstract read
In one paragraph

Article in Journal of separation science, 2024. 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

5 authors.

Arya RaveendranDepartment of Pharmaceutical Quality Assurance, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Ashutosh GuptaDepartment of Pharmaceutical Quality Assurance, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India.ORCID https://orcid.org/0000-0003-4236-6580
Leslie E LewisDepartment of Pediatrics, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Krishnananda PrabhuDepartment of Biochemistry, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Sudheer MoorkothDepartment of Pharmaceutical Quality Assurance, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India.ORCID https://orcid.org/0000-0002-5341-0981

Funding

Grand Challenges Canada R-ST-POC-1707-07275
6 · The paper itself

Abstract

Deficiency of cofactors for various enzymes can lead to inborn errors of metabolism. These conditions frequently occur as seizures, which lead to permanent brain damage. Newborn screening for biomarkers associated with these disorders can help in early detection and treatment. Our objective was to establish a liquid chromatography mass spectrometry technique for quantifying biomarkers in dried urine spots to detect specific vitamin-responsive inborn errors metabolism. Biomarkers were extracted from dried urine spots using a methanol:0.1% v/v formic acid solution (75:25) containing an internal standard mixture. Separation was achieved using a Luna PFP column (150 mm × 4.6 mm, 3 µm) under gradient elution conditions. The LC-MS technique was validated as per ICH M10 guidelines. Urine samples from healthy newborns in Udupi district, South India, were analyzed to establish reference values for these biomarkers. The method demonstrated excellent linearity (R

Indexed as

BiomarkersChromatography, LiquidHumansInfant, NewbornLiquid Chromatography-Mass SpectrometryMass SpectrometryMetabolism, Inborn ErrorsNeonatal ScreeningTandem Mass SpectrometryBiomarkersamino acidscofactor‐dependent metabolic disorderdried urine spotLC–MSnewborn screening

Identifiers

PMID39582092
PMCPMC11586471

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Registered trials

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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 OpenQuestion graph.