Evidence map›Paper›PMID 38448553›Full record

ArticleScientific reports2024

An ultra-sensitive and high-throughput trapping-micro-LC-MS method for quantification of circulating vitamin D metabolites and application in multiple sclerosis patients.

Flora Qu, Ming Zhang, Bianca Weinstock-Guttman, Robert Zivadinov, Jun Qu, Xiaoyu Zhu, Murali Ramanathan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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 2 institutions in 1 country.

Flora QuDepartment of Biochemistry, University at Buffalo, State University of New York, Buffalo, NY, USA.
Ming ZhangDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
Bianca Weinstock-GuttmanDepartment of Neurology, Jacobs School of Medicine and Biomedical Sciences, Jacobs Comprehensive MS Treatment and Research Center, University at Buffalo, State University of New York, Buffalo, NY, USA.
Robert ZivadinovBuffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
Jun QuDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
Xiaoyu ZhuDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA. xzhu27@buffalo.edu.
Murali RamanathanDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA. murali@buffalo.edu.
University at Buffalo, State University of New York · USJacobs (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative analysis of the biologically-active metabolites of vitamin D (VitD), which are crucial in regulating various physiological and pathological processes, is important for clinical investigations. Liquid chromatography-tandem mass spectrometry (LC-MS) has been widely used for this purpose but existing LC-MS methods face challenges in achieving highly sensitive and accurate quantification of low-abundance VitD metabolites while maintaining high throughput and robustness. Here we developed a novel pipeline that combines a trapping-micro-LC-(T-µLC) with narrow-window-isolation selected-reaction monitoring MS(NWI-SRM) for ultra-sensitive, robust and high-throughput quantification of VitD metabolites in serum samples after derivatization. The selective-trapping and delivery approach efficiently removes matrix components, enabling high-capacity sample loading and enhancing sensitivity, throughput, and robustness. The NWI-SRM further improves the sensitivity by providing high selectivity. The lower limits of quantification (LOQs) achieved were markedly lower than any existing LC-MS methods: 1.0 pg/mL for 1,25(OH)

Indexed as

Liquid Chromatography-Mass SpectrometryMultiple SclerosisChromatography, LiquidHumansTandem Mass SpectrometryVitamin DVitamin D

Identifiers

PMID38448553
PMCPMC10918069
OpenAlexW4392506565

What OpenQuestion holds

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LicenceCC BY
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.