Evidence map›Paper›PMID 28315235›Full record

ArticleJournal of the American Society for Mass Spectrometry2017

Identification and Quantitation of Malonic Acid Biomarkers of In-Born Error Metabolism by Targeted Metabolomics.

Chandra Shekar R Ambati, Furong Yuan, Lutfi A Abu-Elheiga, Yiqing Zhang, Vivekananda Shetty

Abstract read
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In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 28 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Chandra Shekar R AmbatiMetabolomics Core Facility, Molecular and Cellular Biology, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, TX, 77030, USA.
Furong YuanDepartment of Biochemistry, Baylor College of Medicine, Houston, TX, 77030, USA.
Lutfi A Abu-ElheigaDepartment of Biochemistry, Baylor College of Medicine, Houston, TX, 77030, USA.
Yiqing ZhangMetabolomics Core Facility, Molecular and Cellular Biology, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, TX, 77030, USA.
Vivekananda ShettyMetabolomics Core Facility, Molecular and Cellular Biology, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, TX, 77030, USA. vivekananda.shetty@bcm.edu.ORCID 0000-0001-9012-4944
Baylor College of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malonic acid (MA), methylmalonic acid (MMA), and ethylmalonic acid (EMA) metabolites are implicated in various non-cancer disorders that are associated with inborn-error metabolism. In this study, we have slightly modified the published 3-nitrophenylhydrazine (3NPH) derivatization method and applied it to derivatize MA, MMA, and EMA to their hydrazone derivatives, which were amenable for liquid chromatography- mass spectrometry (LC-MS) quantitation. 3NPH was used to derivatize MA, MMA, and EMA, and multiple reaction monitoring (MRM) transitions of the corresponding derivatives were determined by product-ion experiments. Data normalization and absolute quantitation were achieved by using 3NPH derivatized isotopic labeled compounds

Indexed as

AnimalsBiomarkersCarboxy-LyasesFemaleHumansLimit of DetectionMaleMalonatesMalonyl Coenzyme AMass SpectrometryMetabolism, Inborn ErrorsMetabolomicsMethylmalonic AcidMice, Inbred C57BLPhenylhydrazines3-nitrophenylhydrazineBiomarkersCarboxy-Lyasesethylmalonic acidMalonatesmalonic acidMalonyl Coenzyme AMethylmalonic AcidPhenylhydrazines3NPH derivatizationInborn-error metabolismLC-MRM-MSMalonic acidsPlasmaQuantitation

Identifiers

PMID28315235
OpenAlexW2597304804

What OpenQuestion holds

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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.