Evidence map›Paper›PMID 25646437›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Network-based metaanalysis identifies HNF4A and PTBP1 as longitudinally dynamic biomarkers for Parkinson's disease.

Jose A Santiago, Judith A Potashkin

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 7 pooled it
9.8field-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.

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

60 citing papers in PubMed, 7 syntheses or guidelines pooled it, 95 citations in OpenAlex.

  1. Pooled it
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  4. Distinct gene expression characteristics in epithelial cell-International journal of medical sciences · 2019
    Pooled it
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  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. PTBP1 as a potential regulator of disease.Molecular and cellular biochemistry · 2024
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. The Potential ofGenes · 2023
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Jose A SantiagoCellular and Molecular Pharmacology Department, Chicago Medical School, Rosalind Franklin University of Medicine and Science, North Chicago, IL 60064.
Judith A PotashkinCellular and Molecular Pharmacology Department, Chicago Medical School, Rosalind Franklin University of Medicine and Science, North Chicago, IL 60064 judy.potashkin@rosalindfranklin.edu.ORCID http://orcid.org/0000-0002-8782-3071
Rosalind Franklin University of Medicine and Science · US

Funding

Creatine Safety, Tolerability, and Efficacy in Huntington's Disease: CREST-EU01AT000613 · NCCIH · MASSACHUSETTS GENERAL HOSPITAL · PI HERSCH, STEVEN M · 2007 to 2015
$12.9M
Neuroimaging Biomarkers for disease-modyfying therapies in Hintington's diseaseP01NS058793 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI HERSCH, STEVEN M · 2008 to 2012
$6.6M
Biomarkers for early intervention in Parkinson diseaseU01NS082157 · NINDS · BRIGHAM AND WOMEN'S HOSPITAL · PI SCHERZER, CLEMENS R · 2012 to 2016
$2.5M
Genome-wide analysis of tau neurotoxicityR01AG044113 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI FEANY, MEL B · 2012 to 2016
$2.0M
Risk Marker for Parkinson's Disease: Enabling Novel TherapiesR01NS064155 · NINDS · BRIGHAM AND WOMEN'S HOSPITAL · PI SCHERZER, CLEMENS R · 2008 to 2011
$1.7M
NCCIH NIH HHS U01 AT000613NIA NIH HHS R01 AG044113NINDS NIH HHS P01 NS058793NINDS NIH HHS R01 NS064155NINDS NIH HHS U01 NS082157
6 · The paper itself

Abstract

Environmental and genetic factors are likely to be involved in the pathogenesis of Parkinson's disease (PD), the second most prevalent neurodegenerative disease among the elderly. Network-based metaanalysis of four independent microarray studies identified the hepatocyte nuclear factor 4 alpha (HNF4A), a transcription factor associated with gluconeogenesis and diabetes, as a central regulatory hub gene up-regulated in blood of PD patients. In parallel, the polypyrimidine tract binding protein 1 (PTBP1), involved in the stabilization and mRNA translation of insulin, was identified as the most down-regulated gene. Quantitative PCR assays revealed that HNF4A and PTBP1 mRNAs were up- and down-regulated, respectively, in blood of 51 PD patients and 45 controls nested in the Diagnostic and Prognostic Biomarkers for Parkinson's Disease. These results were confirmed in blood of 50 PD patients compared with 46 healthy controls nested in the Harvard Biomarker Study. Relative abundance of HNF4A mRNA correlated with the Hoehn and Yahr stage at baseline, suggesting its clinical utility to monitor disease severity. Using both markers, PD patients were classified with 90% sensitivity and 80% specificity. Longitudinal performance analysis demonstrated that relative abundance of HNF4A and PTBP1 mRNAs significantly decreased and increased, respectively, in PD patients during the 3-y follow-up period. The inverse regulation of HNF4A and PTBP1 provides a molecular rationale for the altered insulin signaling observed in PD patients. The longitudinally dynamic biomarkers identified in this study may be useful for monitoring disease-modifying therapies for PD.

Indexed as

Base SequenceBiomarkersDNA PrimersHepatocyte Nuclear Factor 4Heterogeneous-Nuclear RibonucleoproteinsHumansParkinson DiseasePolypyrimidine Tract-Binding ProteinReal-Time Polymerase Chain ReactionRNA, MessengerBiomarkersDNA PrimersHepatocyte Nuclear Factor 4Heterogeneous-Nuclear RibonucleoproteinsHNF4A protein, humanPolypyrimidine Tract-Binding ProteinPTBP1 protein, humanRNA, Messengerblood biomarkersHNF4Anetwork analysisParkinson's diseasePTBP1

Identifiers

PMID25646437
PMCPMC4343174
OpenAlexW2111837579

What OpenQuestion holds

Textmetadata
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.