Evidence map›Paper›PMID 31120904›Full record

ArticlePloS one2019

Dynamic modelling of an ACADS genotype in fatty acid oxidation - Application of cellular models for the analysis of common genetic variants.

Kerstin Matejka, Ferdinand Stückler, Michael Salomon, Regina Ensenauer, Eva Reischl, Lena Hoerburger, Harald Grallert, Gabi Kastenmüller, Annette Peters, Hannelore Daniel and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 95% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

14 authors at 6 institutions in 2 countries.

Kerstin MatejkaChair of Nutritional Medicine, Else Kröner-Fresenius-Center for Nutritional Medicine, TUM School of Life Sciences Weihenstephan, Technische Universität München, Freising-Weihenstephan, Germany.
Ferdinand StücklerInstitute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany.
Michael SalomonSIRION Biotech GmbH, Martinsried, Germany.
Regina EnsenauerResearch Center, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-Universität München, München, Germany.
Eva ReischlResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.
Lena HoerburgerPaediatric Nutritional Medicine, Else Kröner-Fresenius-Centre for Nutritional Medicine, TUM School of Life Sciences Weihenstephan, Technische Universität München, Freising-Weihenstephan, Germany.
Harald GrallertGerman Center for Diabetes Research (DZD), Neuherberg, Germany.
Gabi KastenmüllerInstitute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Annette PetersGerman Center for Diabetes Research (DZD), Neuherberg, Germany.
Hannelore DanielZIEL-Research Center for Nutrition and Food Sciences, TUM School of Life Sciences Weihenstephan, Technische Universität München, Freising-Weihenstephan, Germany.
Jan KrumsiekInstitute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany.
Fabian J TheisInstitute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany.
Hans HaunerChair of Nutritional Medicine, Else Kröner-Fresenius-Center for Nutritional Medicine, TUM School of Life Sciences Weihenstephan, Technische Universität München, Freising-Weihenstephan, Germany.
Helmut LaumenChair of Nutritional Medicine, Else Kröner-Fresenius-Center for Nutritional Medicine, TUM School of Life Sciences Weihenstephan, Technische Universität München, Freising-Weihenstephan, Germany.ORCID 0000-0002-5885-5242
Helmholtz Zentrum München · DECornell University · USDüsseldorf University Hospital · DEFresenius (Germany) · DETUM Klinikum · DEWeihenstephan-Triesdorf University of Applied Sciences · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenome-wide association studies of common diseases or metabolite quantitative traits often identify common variants of small effect size, which may contribute to phenotypes by modulation of gene expression. Thus, there is growing demand for cellular models enabling to assess the impact of gene regulatory variants with moderate effects on gene expression. Mitochondrial fatty acid oxidation is an important energy metabolism pathway. Common noncoding acyl-CoA dehydrogenase short chain (ACADS) gene variants are associated with plasma C4-acylcarnitine levels and allele-specific modulation of ACADS expression may contribute to the observed phenotype. METHODS AND

findingsWe assessed ACADS expression and intracellular acylcarnitine levels in human lymphoblastoid cell lines (LCL) genotyped for a common ACADS variant associated with plasma C4-acylcarnitine and found a significant genotype-dependent decrease of ACADS mRNA and protein. Next, we modelled gradual decrease of ACADS expression using a tetracycline-regulated shRNA-knockdown of ACADS in Huh7 hepatocytes, a cell line with high fatty acid oxidation-(FAO)-capacity. Assessing acylcarnitine flux in both models, we found increased C4-acylcarnitine levels with decreased ACADS expression levels. Moreover, assessing time-dependent changes of acylcarnitine levels in shRNA-hepatocytes with altered ACADS expression levels revealed an unexpected effect on long- and medium-chain fatty acid intermediates.

conclusionsBoth, genotyped LCL and regulated shRNA-knockdown are valuable tools to model moderate, gradual gene-regulatory effects of common variants on cellular phenotypes. Decreasing ACADS expression levels modulate short and surprisingly also long/medium chain acylcarnitines, and may contribute to increased plasma acylcarnitine levels.

Indexed as

Acyl-CoA DehydrogenaseCarnitineCell Line, TumorFatty AcidsFemaleGenetic VariationGenome-Wide Association StudyGenotypeHepatocytesHumansMaleMiddle AgedMitochondriaOxidation-ReductionPhenotypeacylcarnitineAcyl-CoA DehydrogenaseCarnitineFatty Acids

Identifiers

PMID31120904
PMCPMC6532850
OpenAlexW2945427327

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.