Evidence map›Paper›PMID 37985891›Full record

ArticleCommunications biology2023

Omics data integration suggests a potential idiopathic Parkinson's disease signature.

Alise Zagare, German Preciat, Sarah L Nickels, Xi Luo, Anna S Monzel, Gemma Gomez-Giro, Graham Robertson, Christian Jaeger, Jafar Sharif, Haruhiko Koseki and 4 more

Abstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Mitochondrial Dysfunction in Genetic and Non-Genetic Parkinson's Disease.International journal of molecular sciences · 2025
    Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Tackling neurodegenerationFrontiers in molecular neuroscience · 2024
    Review
  16. Review
  17. Review
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.

Alise ZagareLuxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 7, Avenue des Hauts-Fourneaux, 4362, Esch-sur-Alzette, Luxembourg.
German PreciatMetabolomics and Analytics Center, Leiden Academic Centre for Drug Research, Leiden University, 2300 RA, Leiden, The Netherlands.
Sarah L NickelsLuxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 7, Avenue des Hauts-Fourneaux, 4362, Esch-sur-Alzette, Luxembourg.
Xi LuoSchool of Medicine, University of Galway, University Rd, Galway, Ireland.ORCID 0000-0003-1629-4173
Anna S MonzelLuxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 7, Avenue des Hauts-Fourneaux, 4362, Esch-sur-Alzette, Luxembourg.
Gemma Gomez-GiroLuxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 7, Avenue des Hauts-Fourneaux, 4362, Esch-sur-Alzette, Luxembourg.
Graham RobertsonLuxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 7, Avenue des Hauts-Fourneaux, 4362, Esch-sur-Alzette, Luxembourg.
Christian JaegerLuxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 7, Avenue des Hauts-Fourneaux, 4362, Esch-sur-Alzette, Luxembourg.
Jafar SharifLaboratory for Developmental Genetics, RIKEN Center for Integrative Medical Sciences (IMS), Kanagawa, 230-0045, Japan.
Haruhiko KosekiLaboratory for Developmental Genetics, RIKEN Center for Integrative Medical Sciences (IMS), Kanagawa, 230-0045, Japan.ORCID 0000-0001-8424-5854
Nico J DiederichCentre Hospitalier de Luxembourg (CHL), 4, Rue Nicolas Ernest Barblé, L-1210, Luxembourg, Luxembourg.
Enrico GlaabLuxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 7, Avenue des Hauts-Fourneaux, 4362, Esch-sur-Alzette, Luxembourg.ORCID 0000-0003-3977-7469
Ronan M T FlemingMetabolomics and Analytics Center, Leiden Academic Centre for Drug Research, Leiden University, 2300 RA, Leiden, The Netherlands.ORCID 0000-0001-5346-9812
Jens C SchwambornLuxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 7, Avenue des Hauts-Fourneaux, 4362, Esch-sur-Alzette, Luxembourg. jens.schwamborn@uni.lu.ORCID 0000-0003-4496-0559

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 668738Fonds National de la Recherche Luxembourg (National Research Fund) FNR/NCER13/BM/11264123
6 · The paper itself

Abstract

The vast majority of Parkinson's disease cases are idiopathic. Unclear etiology and multifactorial nature complicate the comprehension of disease pathogenesis. Identification of early transcriptomic and metabolic alterations consistent across different idiopathic Parkinson's disease (IPD) patients might reveal the potential basis of increased dopaminergic neuron vulnerability and primary disease mechanisms. In this study, we combine systems biology and data integration approaches to identify differences in transcriptomic and metabolic signatures between IPD patient and healthy individual-derived midbrain neural precursor cells. Characterization of gene expression and metabolic modeling reveal pyruvate, several amino acid and lipid metabolism as the most dysregulated metabolic pathways in IPD neural precursors. Furthermore, we show that IPD neural precursors endure mitochondrial metabolism impairment and a reduced total NAD pool. Accordingly, we show that treatment with NAD precursors increases ATP yield hence demonstrating a potential to rescue early IPD-associated metabolic changes.

Indexed as

Neural Stem CellsParkinson DiseaseDopaminergic NeuronsHumansMitochondriaNADNAD

Identifiers

PMID37985891
PMCPMC10662437

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.