Evidence map›Paper›PMID 27524956›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society

Integration of targeted metabolomics and transcriptomics identifies deregulation of phosphatidylcholine metabolism in Huntington's disease peripheral blood samples.

Anastasios Mastrokolias, Rene Pool, Eleni Mina, Kristina M Hettne, Erik van Duijn, Roos C van der Mast, GertJan van Ommen, Peter A C 't Hoen, Cornelia Prehn, Jerzy Adamski and 1 more

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Article in Metabolomics : Official journal of the Metabolomic Society. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

28 citing papers in PubMed, 61 citations in OpenAlex.

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  10. Cholesterol impacts the formation of huntingtin/lipid complexes and subsequent aggregation.Protein science : a publication of the Protein Society · 2023
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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

11 authors at 2 institutions in 2 countries.

Anastasios MastrokoliasDepartment of Human Genetics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.
Rene PoolDepartment of Biological Psychology, Faculty of Psychology and Education, VU University Amsterdam, Amsterdam, The Netherlands ; The EMGO + Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands.
Eleni MinaDepartment of Human Genetics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.
Kristina M HettneDepartment of Human Genetics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.
Erik van DuijnDepartment of Psychiatry, Leiden University Medical Center, 2300 RC Leiden, The Netherlands ; Center for Mental Health Care Delfland, Jorisweg 2, Delft, The Netherlands.
Roos C van der MastDepartment of Psychiatry, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.
GertJan van OmmenDepartment of Human Genetics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.
Peter A C 't HoenDepartment of Human Genetics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.
Cornelia PrehnHelmholtz Zentrum, München, German Research Center for Environmental Health, Institute of Experimental Genetics, Genome Analysis Center, Neuherberg, Germany.
Jerzy AdamskiHelmholtz Zentrum, München, German Research Center for Environmental Health, Institute of Experimental Genetics, Genome Analysis Center, Neuherberg, Germany ; German Center for Diabetes Research, Neuherberg, Germany ; Lehrstuhl für Experimentelle Genetik, Technische Universität München, Freising-Weihenstephan, Germany.
Willeke van Roon-MomDepartment of Human Genetics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.
Leiden University Medical Center · NLHelmholtz Zentrum München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMetabolic changes have been frequently associated with Huntington's disease (HD). At the same time peripheral blood represents a minimally invasive sampling avenue with little distress to Huntington's disease patients especially when brain or other tissue samples are difficult to collect.

objectivesWe investigated the levels of 163 metabolites in HD patient and control serum samples in order to identify disease related changes. Additionally, we integrated the metabolomics data with our previously published next generation sequencing-based gene expression data from the same patients in order to interconnect the metabolomics changes with transcriptional alterations.

methodsThis analysis was performed using targeted metabolomics and flow injection electrospray ionization tandem mass spectrometry in 133 serum samples from 97 Huntington's disease patients (29 pre-symptomatic and 68 symptomatic) and 36 controls.

resultsBy comparing HD mutation carriers with controls we identified 3 metabolites significantly changed in HD (serine and threonine and one phosphatidylcholine-PC ae C36:0) and an additional 8 phosphatidylcholines (PC aa C38:6, PC aa C36:0, PC ae C38:0, PC aa C38:0, PC ae C38:6, PC ae C42:0, PC aa C36:5 and PC ae C36:0) that exhibited a significant association with disease severity. Using workflow based exploitation of pathway databases and by integrating our metabolomics data with our gene expression data from the same patients we identified 4 deregulated phosphatidylcholine metabolism related genes (

conclusionOur results support the notion that phosphatidylcholine metabolism is deregulated in HD blood and that these metabolite alterations are associated with specific gene expression changes.

Indexed as

BiomarkersDisease progressionGene expressionIntegrated analysisMetabolomicsNeurodegenerative

Identifiers

PMID27524956
PMCPMC4963448
OpenAlexW2486330282

What OpenQuestion holds

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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.