Evidence map›Paper›PMID 32828637›Full record

ArticleMolecular genetics and metabolism

Untargeted metabolomics as an unbiased approach to the diagnosis of inborn errors of metabolism of the non-oxidative branch of the pentose phosphate pathway.

Brian J Shayota, Taraka R Donti, Jing Xiao, Charul Gijavanekar, Adam D Kennedy, Leroy Hubert, Lance Rodan, Christina Vanderpluym, Catherine Nowak, Hans T Bjornsson and 6 more

Open access · greenAbstract read
In one paragraph

Article in Molecular genetics and metabolism. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.6field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 24 citations in OpenAlex.

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  13. Analysis of endogenous metabolites using multifunctional derivatization and capillary RPLC-MS.Analytical methods : advancing methods and applications · 2022
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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

16 authors at 6 institutions in 2 countries.

Brian J ShayotaDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Taraka R DontiDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Jing XiaoDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Baylor Genetics, Houston, TX, USA.
Charul GijavanekarBaylor Genetics, Houston, TX, USA.
Adam D KennedyMetabolon, Inc., Durham, NC, USA.
Leroy HubertDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Lance RodanDivision of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA.
Christina VanderpluymDepartment of Cardiology, Boston Children's Hospital, Boston, MA, USA.
Catherine NowakDivision of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA.
Hans T BjornssonMcKusick-Nathans Institute of Genetic Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Faculty of Medicine, University of Iceland, Reykjavik, Iceland; Landspitali University Hospital, Reykjavik, Iceland.
Rebecca GanetzkyDivision of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Gerard T BerryDivision of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA.
Kirk L PappanMetabolon, Inc., Durham, NC, USA.
V Reid SuttonDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Baylor Genetics, Houston, TX, USA.
Qin SunDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Baylor Genetics, Houston, TX, USA.
Sarah H ElseaDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Baylor Genetics, Houston, TX, USA. Electronic address: elsea@bcm.edu.
Baylor College of Medicine · USBoston Children's Hospital · USBaylor Genetics · USMetabolon (United States) · USChildren's Hospital of Philadelphia · USJohns Hopkins Medicine · US

Funding

MEDICAL GENETICS RESEARCH FELLOWSHIP PROGRAMT32GM007526 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI Brendan Lee · 1985 to 2026
$11.4M
MEDICAL GENETICS RESEARCH TRAINING GRANTT32GM008638 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI Rebecca Ganetzky · 1997 to 2026
$8.7M
Preclinical Analyses of NAD Kinase as a Redox Vulnerability for the Treatment of Pancreatic CancerR01CA211176 · NCI · BAYLOR COLLEGE OF MEDICINE · PI ELSEA, SARAH H. · 2017 to 2021
$2.6M
Characterizing Cell and Zebrafish Models of Mitochondrial Complex V DeficiencyK08DK113250 · NIDDK · CHILDREN'S HOSP OF PHILADELPHIA · PI GANETZKY, REBECCA · 2017 to 2021
$892k
NCI NIH HHS R01 CA211176NIDDK NIH HHS K08 DK113250NIGMS NIH HHS T32 GM007526NIGMS NIH HHS T32 GM008638
6 · The paper itself

Abstract

Inborn errors of metabolism (IEM) involving the non-oxidative pentose phosphate pathway (PPP) include the two relatively rare conditions, transketolase deficiency and transaldolase deficiency, both of which can be difficult to diagnosis given their non-specific clinical presentations. Current biochemical testing approaches require an index of suspicion to consider targeted urine polyol testing. To determine whether a broad-spectrum biochemical test could accurately identify a specific metabolic pattern defining IEMs of the non-oxidative PPP, we employed the use of clinical metabolomic profiling as an unbiased novel approach to diagnosis. Subjects with molecularly confirmed IEMs of the PPP were included in this study. Targeted quantitative analysis of polyols in urine and plasma samples was accomplished with chromatography and mass spectrometry. Semi-quantitative unbiased metabolomic analysis of urine and plasma samples was achieved by assessing small molecules via liquid chromatography and high-resolution mass spectrometry. Results from untargeted and targeted analyses were then compared and analyzed for diagnostic acuity. Two siblings with transketolase (TKT) deficiency and three unrelated individuals with transaldolase (TALDO) deficiency were identified for inclusion in the study. For both IEMs, targeted polyol testing and untargeted metabolomic testing on urine and/or plasma samples identified typical perturbations of the respective disorder. Additionally, untargeted metabolomic testing revealed elevations in other PPP metabolites not typically measured with targeted polyol testing, including ribonate, ribose, and erythronate for TKT deficiency and ribonate, erythronate, and sedoheptulose 7-phosphate in TALDO deficiency. Non-PPP alternations were also noted involving tryptophan, purine, and pyrimidine metabolism for both TKT and TALDO deficient patients. Targeted polyol testing and untargeted metabolomic testing methods were both able to identify specific biochemical patterns indicative of TKT and TALDO deficiency in both plasma and urine samples. In addition, untargeted metabolomics was able to identify novel biomarkers, thereby expanding the current knowledge of both conditions and providing further insight into potential underlying pathophysiological mechanisms. Furthermore, untargeted metabolomic testing offers the advantage of having a single effective biochemical screening test for identification of rare IEMs, like TKT and TALDO deficiencies, that may otherwise go undiagnosed due to their generally non-specific clinical presentations.

Indexed as

AdultBiomarkersCarbohydrate Metabolism, Inborn ErrorsChildChild, PreschoolChromatography, LiquidFemaleHumansInfantMaleMass SpectrometryMetabolism, Inborn ErrorsMetabolomicsPentose Phosphate PathwayTransaldolaseTransketolaseBiomarkersTransaldolaseTransketolaseDevelopmental delayInborn error of metabolismMetabolomePentose phosphate pathwayTransaldolase deficiencyTransketolase deficiency

Identifiers

PMID32828637
PMCPMC8630378
OpenAlexW3046974286

What OpenQuestion holds

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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.