Evidence map›Paper›PMID 27757515›Full record

ArticleAnalytical and bioanalytical chemistry2017

High-throughput and simultaneous quantitative analysis of homocysteine-methionine cycle metabolites and co-factors in blood plasma and cerebrospinal fluid by isotope dilution LC-MS/MS.

Seu Ping Guiraud, Ivan Montoliu, Laeticia Da Silva, Loïc Dayon, Antonio Núñez Galindo, John Corthésy, Martin Kussmann, Francois-Pierre Martin

Abstract readValidation Study
In one paragraph

Article in Analytical and bioanalytical chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

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  11. Nutrient Metabolites Associated With Low D3Cr Muscle Mass, Strength, and Physical Performance in Older Men.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
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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

8 authors.

Seu Ping GuiraudNestlé Institute of Health Sciences SA, Campus EPFL, Innovation Park, CH-1015, Lausanne, Switzerland. seuping.guiraud@rd.nestle.com.
Ivan MontoliuNestlé Institute of Health Sciences SA, Campus EPFL, Innovation Park, CH-1015, Lausanne, Switzerland.
Laeticia Da SilvaNestlé Institute of Health Sciences SA, Campus EPFL, Innovation Park, CH-1015, Lausanne, Switzerland.
Loïc DayonNestlé Institute of Health Sciences SA, Campus EPFL, Innovation Park, CH-1015, Lausanne, Switzerland.
Antonio Núñez GalindoNestlé Institute of Health Sciences SA, Campus EPFL, Innovation Park, CH-1015, Lausanne, Switzerland.
John CorthésyNestlé Institute of Health Sciences SA, Campus EPFL, Innovation Park, CH-1015, Lausanne, Switzerland.
Martin KussmannNestlé Institute of Health Sciences SA, Campus EPFL, Innovation Park, CH-1015, Lausanne, Switzerland.
Francois-Pierre MartinNestlé Institute of Health Sciences SA, Campus EPFL, Innovation Park, CH-1015, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The methionine cycle is a key pathway contributing to the regulation of human health, with well-established involvement in cardiovascular diseases and cognitive function. Changes in one-carbon cycle metabolites have also been associated with mild cognitive decline, vascular dementia, and Alzheimer's disease. Today, there is no single analytical method to monitor both metabolites and co-factors of the methionine cycle. To address this limitation, we here report for the first time a new method for the simultaneous quantitation of 17 metabolites in the methionine cycle, which are homocysteic acid, taurine, serine, cysteine, glycine, homocysteine, riboflavin, methionine, pyridoxine, cystathionine, pyridoxamine, S-adenosylhomocysteine, S-adenosylmethionine, betaine, choline, dimethylglycine, and 5-methyltetrahydrofolic acid. This multianalyte method, developed using ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS), provides a highly accurate and precise quantitation of these 17 metabolites for both plasma and cerebrospinal fluid metabolite monitoring. The method requires a simple sample preparation, which, combined with a short chromatographic run time, ensures a high sample throughput. This analytical strategy will thus provide a novel metabolomics approach to be employed in large-scale observational and intervention studies. We expect such a robust method to be particularly relevant for broad and deep molecular phenotyping of individuals in relation to their nutritional requirements, health monitoring, and disease risk management.

Indexed as

Chromatography, High Pressure LiquidHigh-Throughput Screening AssaysHomocysteineHumansIndicator Dilution TechniquesLimit of DetectionMetabolic Networks and PathwaysMetabolomicsMethionineMiddle AgedTandem Mass SpectrometryHomocysteineMethionineCerebrospinal fluidHigh throughputLC–MS/MSMethionine pathwayOne-carbon metabolismPlasma

Identifiers

PMID27757515
PMCPMC5203846

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LicenceCC BY
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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.