Evidence map›Paper›PMID 28254760›Full record

ArticleMolecular systems biology2017

Personal model-assisted identification of NAD

Adil Mardinoglu, Elias Bjornson, Cheng Zhang, Martina Klevstig, Sanni Söderlund, Marcus Ståhlman, Martin Adiels, Antti Hakkarainen, Nina Lundbom, Murat Kilicarslan and 12 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03850314 (The Effects of Glycine on Atherosclerosis and Metabolic Syndrome-related Parameters), which is not on this map. Cited by 107 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed, 1 pooled it
11.6field-weighted citation impact, top 1% 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.

NCT03850314 phase2 / phase3unknown statusnot on this mapstarted 2019, after this paper: background citation

The Effects of Glycine on Atherosclerosis and Metabolic Syndrome-related Parameters: A Clinical and Ex-vivo Study.

TypeinterventionalSponsorProf. Tony hayek MDRan2019 to 2020Enrolled50ConditionsMetabolic Syndrome, Dyslipidemias, Diabetes Mellitus, ObesityArmsGlycine
3 · Its place in the literature

Who cites it

107 citing papers in PubMed, 1 synthesis or guideline pooled it, 178 citations in OpenAlex.

  1. Biomarker discovery in NAFLD: insights from metabolomics and vote counting meta-analysis.Metabolomics : Official journal of the Metabolomic Society · 2025
    Pooled it
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  6. Combined Metabolic Activators Accelerates Recovery in Mild-to-Moderate COVID-19.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Trial
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  9. Article
  10. [Role of glutathione in regulating ferroptosis and cuproptosis in metabolic dysfunction-associated steatotic liver disease].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Review
  11. Article
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  13. Journal of inflammation research · 2026
    Article
  14. Article
  15. Article
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  19. Genome-scale models in human metabologenomics.Nature reviews. Genetics · 2025
    Review
  20. Review

47 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 6 institutions in 6 countries.

Adil MardinogluScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden adilm@scilifelab.se jan.boren@wlab.gu.se.ORCID 0000-0002-4254-6090
Elias BjornsonDepartment of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Cheng ZhangScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.ORCID 0000-0002-3721-8586
Martina KlevstigDepartment of Molecular and Clinical Medicine, University of Gothenburg, and Sahlgrenska University Hospital, Gothenburg, Sweden.
Sanni SöderlundResearch programs Unit, Diabetes and Obesity, Helsinki University Hospital, University of Helsinki, Helsinki, Finland.
Marcus StåhlmanDepartment of Molecular and Clinical Medicine, University of Gothenburg, and Sahlgrenska University Hospital, Gothenburg, Sweden.
Martin AdielsDepartment of Molecular and Clinical Medicine, University of Gothenburg, and Sahlgrenska University Hospital, Gothenburg, Sweden.
Antti HakkarainenDepartment of Radiology, HUS Medical Imaging Center, Helsinki University Central Hospital, University of Helsinki, Helsinki, Finland.
Nina LundbomDepartment of Radiology, HUS Medical Imaging Center, Helsinki University Central Hospital, University of Helsinki, Helsinki, Finland.
Murat KilicarslanDepartment of Endocrinology and Metabolism, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Björn M HallströmScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.
Jesper LundbomDepartment of Radiology, HUS Medical Imaging Center, Helsinki University Central Hospital, University of Helsinki, Helsinki, Finland.
Bruno VergèsDepartment of Endocrinology-Diabetology, University Hospital and INSERM CRI 866, Dijon, France.
Peter Hugh R BarrettFaculty of Engineering, Computing and Mathematics, University of Western Australia, Perth, WA, Australia.
Gerald F WattsMetabolic Research Centre, Cardiovascular Medicine, Royal Perth Hospital, School of Medicine and Pharmacology, University of Western Australia, Perth, WA, Australia.
Mireille J SerlieDepartment of Endocrinology and Metabolism, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Jens NielsenScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.ORCID 0000-0002-9955-6003
Mathias UhlénScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.ORCID 0000-0002-4858-8056
Ulf SmithDepartment of Molecular and Clinical Medicine, University of Gothenburg, and Sahlgrenska University Hospital, Gothenburg, Sweden.
Hanns-Ulrich MarschallDepartment of Molecular and Clinical Medicine, University of Gothenburg, and Sahlgrenska University Hospital, Gothenburg, Sweden.
Marja-Riitta TaskinenResearch programs Unit, Diabetes and Obesity, Helsinki University Hospital, University of Helsinki, Helsinki, Finland.
Jan BorenDepartment of Molecular and Clinical Medicine, University of Gothenburg, and Sahlgrenska University Hospital, Gothenburg, Sweden adilm@scilifelab.se jan.boren@wlab.gu.se.
Sahlgrenska University Hospital · SEScience for Life Laboratory · SEUniversity of Helsinki · FIAmsterdam UMC Location University of Amsterdam · NLThe University of Western Australia · AUInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To elucidate the molecular mechanisms underlying non-alcoholic fatty liver disease (NAFLD), we recruited 86 subjects with varying degrees of hepatic steatosis (HS). We obtained experimental data on lipoprotein fluxes and used these individual measurements as personalized constraints of a hepatocyte genome-scale metabolic model to investigate metabolic differences in liver, taking into account its interactions with other tissues. Our systems level analysis predicted an altered demand for NAD

Indexed as

AnimalsDisease Models, AnimalFemaleGene Expression Regulation, EnzymologicGenomeGlutathioneGlycineHumansLipoproteinsLiverMaleMetabolomicsMiceMiddle AgedNADNon-alcoholic Fatty Liver DiseaseGlutathioneGlycineLipoproteinsNADSerineglutathioneNAFLDpersonalized genome‐scale metabolic modelingserine

Identifiers

PMID28254760
PMCPMC5371732
OpenAlexW2592185688

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.