Evidence map›Paper›PMID 38542431›Full record

ArticleInternational journal of molecular sciences2024

Simultaneous Determination of One-Carbon Folate Metabolites and One-Carbon-Related Amino Acids in Biological Samples Using a UHPLC-MS/MS Method.

Yi Ling, Mei Tan, Xiaoyun Wang, Ziyi Meng, Xiaodong Quan, Hosahalli Ramaswamy, Chao Wang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 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
0.9field-weighted citation impact, top 27% 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. PMEnvironmental health : a global access science source · 2025
    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

7 authors at 2 institutions in 2 countries.

Yi LingDepartment of Food Science and Technology, Jinan University, Guangzhou 510632, China.
Mei TanDepartment of Food Science and Technology, Jinan University, Guangzhou 510632, China.
Xiaoyun WangDepartment of Food Science and Technology, Jinan University, Guangzhou 510632, China.
Ziyi MengDepartment of Food Science and Technology, Jinan University, Guangzhou 510632, China.
Xiaodong QuanDepartment of Food Science and Technology, Jinan University, Guangzhou 510632, China.
Hosahalli RamaswamyDepartment of Food Science and Agricultural Chemistry, Macdonald Campus of McGill University, Montréal, QC H3A 0G4, Canada.ORCID 0000-0003-0049-8892
Chao WangDepartment of Food Science and Technology, Jinan University, Guangzhou 510632, China.
Jinan University · CNMcGill University · CA

Funding

Guangdong Natural Science Foundation 2021A515010606
6 · The paper itself

Abstract

One-carbon folate metabolites and one-carbon-related amino acids play an important role in human physiology, and their detection in biological samples is essential. However, poor stability as well as low concentrations and occurrence in different species in various biological samples make their quantification very challenging. The aim of this study was to develop a simple, fast, and sensitive ultra-high-performance liquid chromatography MS/MS (UHPLC-MS/MS) method for the simultaneous quantification of various one-carbon folate metabolites (folic acid (FA), tetrahydrofolic acid (THF),

Indexed as

CarbonTandem Mass SpectrometryAnimalsChromatography, High Pressure LiquidFolic AcidGlutamic AcidHomocysteineHumansMethionineMiceRacemethionineCarbonFolic AcidGlutamic AcidHomocysteineMethionineRacemethionineamino acidsbiological samplesfolateUHPLC–MS/MS

Identifiers

PMID38542431
PMCPMC10971085
OpenAlexW4392953647

What OpenQuestion holds

Textmetadata
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.