Evidence map›Paper›PMID 25626709›Full record

ArticleEuropean journal of human genetics : EJHG2015

Huntington's disease biomarker progression profile identified by transcriptome sequencing in peripheral blood.

Anastasios Mastrokolias, Yavuz Ariyurek, Jelle J Goeman, Erik van Duijn, Raymund A C Roos, Roos C van der Mast, GertJan B van Ommen, Johan T den Dunnen, Peter A C 't Hoen, Willeke M C van Roon-Mom

Open access · hybridAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 5% 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

53 citing papers in PubMed, 2 syntheses or guidelines pooled it, 84 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. RNA Sequencing in Disease Diagnosis.Annual review of genomics and human genetics · 2024
    Review
  11. Review
  12. Review
  13. Article
  14. TheGenes · 2023
    Article
  15. Article
  16. AnIranian journal of basic medical sciences · 2023
    Article
  17. Article
  18. Review
  19. Article
  20. A Glimpse of Molecular Biomarkers in Huntington's Disease.International journal of molecular sciences · 2022
    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

10 authors at 3 institutions in 1 country.

Anastasios MastrokoliasDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Yavuz AriyurekLeiden Genome Technology Center, Leiden University Medical Center, Leiden, The Netherlands.
Jelle J GoemanDepartment of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, The Netherlands.
Erik van DuijnDepartment of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands.
Raymund A C RoosDepartment of Neurology, Leiden University Medical Centre, RC, Leiden, The Netherlands.
Roos C van der MastDepartment of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands.
GertJan B van OmmenDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Johan T den DunnenDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Peter A C 't HoenDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Willeke M C van Roon-MomDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Leiden University Medical Center · NLGGZ Delfland · NLRadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With several therapeutic approaches in development for Huntington's disease, there is a need for easily accessible biomarkers to monitor disease progression and therapy response. We performed next-generation sequencing-based transcriptome analysis of total RNA from peripheral blood of 91 mutation carriers (27 presymptomatic and, 64 symptomatic) and 33 controls. Transcriptome analysis by DeepSAGE identified 167 genes significantly associated with clinical total motor score in Huntington's disease patients. Relative to previous studies, this yielded novel genes and confirmed previously identified genes, such as H2AFY, an overlap in results that has proven difficult in the past. Pathway analysis showed enrichment of genes of the immune system and target genes of miRNAs, which are downregulated in Huntington's disease models. Using a highly parallelized microfluidics array chip (Fluidigm), we validated 12 of the top 20 significant genes in our discovery cohort and 7 in a second independent cohort. The five genes (PROK2, ZNF238, AQP9, CYSTM1 and ANXA3) that were validated independently in both cohorts present a candidate biomarker panel for stage determination and therapeutic readout in Huntington's disease. Finally we suggest a first empiric formula predicting total motor score from the expression levels of our biomarker panel. Our data support the view that peripheral blood is a useful source to identify biomarkers for Huntington's disease and monitor disease progression in future clinical trials.

Indexed as

AdultAgedBiomarkersCase-Control StudiesDisease ProgressionFemaleGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansHuntington DiseaseMaleMicroRNAsMiddle AgedMutationTranscriptomeYoung AdultBiomarkersMicroRNAs

Identifiers

PMID25626709
PMCPMC4592077
OpenAlexW2068452052

What OpenQuestion holds

Textmetadata
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.