Evidence map›Paper›PMID 23985564›Full record

ArticleThe Journal of clinical investigation2013

Metabolic network as a progression biomarker of premanifest Huntington's disease.

Chris C Tang, Andrew Feigin, Yilong Ma, Christian Habeck, Jane S Paulsen, Klaus L Leenders, Laura K Teune, Joost C H van Oostrom, Mark Guttman, Vijay Dhawan and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in The Journal of clinical investigation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04228172 (Genotypic Influences on Network Progression in Parkinson's Disease), which is not on this map. Cited by 57 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 2 pooled it
4.4field-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.

NCT04228172 active not recruitingnot on this mapstarted 2020, after this paper: background citation

Genotypic Influences on Network Progression in Parkinson's Disease

TypeobservationalSponsorNorthwell HealthRan2020 to 2026Enrolled32ConditionsParkinson's DiseaseArmsDNA/GeneticTesting, FDG PET scan, MRI scan, Clinical and neuropsychological assessments
3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 2 syntheses or guidelines pooled it, 120 citations in OpenAlex.

  1. Pooled it
  2. Current status of PET imaging in Huntington's disease.European journal of nuclear medicine and molecular imaging · 2016
    Pooled it
  3. Trial
  4. Network modulation following sham surgery in Parkinson's disease.The Journal of clinical investigation · 2014
    Trial
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Functional Brain Networks to Evaluate Treatment Responses in Parkinson's Disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023
    Article
  18. Review
  19. Review
  20. EANM procedure guidelines for brain PET imaging using [European journal of nuclear medicine and molecular imaging · 2022
    Article
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

11 authors at 5 institutions in 3 countries.

Chris C TangCenter for Neurosciences, The Feinstein Institute for Medical Research, Manhasset, New York 11030, USA.
Andrew Feigin
Yilong Ma
Christian Habeck
Jane S Paulsen
Klaus L Leenders
Laura K Teune
Joost C H van Oostrom
Mark Guttman
Vijay Dhawan
David Eidelberg
Northwell Health · USUniversity Medical Center Groningen · NLColumbia University · USUniversity of Iowa · USUniversity of Toronto · CA

Funding

NEUROBIOLOGICAL PREDICTORS OF HUNTINGTON'S DISEASER01NS040068 · NINDS · UNIVERSITY OF IOWA · PI PAULSEN, JANE S · 2001 to 2013
$48.5M
NINDS NIH HHS R01 NS040068
6 · The paper itself

Abstract

backgroundThe evaluation of effective disease-modifying therapies for neurodegenerative disorders relies on objective and accurate measures of progression in at-risk individuals. Here we used a computational approach to identify a functional brain network associated with the progression of preclinical Huntington's disease (HD).

methodsTwelve premanifest HD mutation carriers were scanned with [18F]-fluorodeoxyglucose PET to measure cerebral metabolic activity at baseline and again at 1.5, 4, and 7 years. At each time point, the subjects were also scanned with [11C]-raclopride PET and structural MRI to measure concurrent declines in caudate/putamen D2 neuroreceptor binding and tissue volume. The rate of metabolic network progression in this cohort was compared with the corresponding estimate obtained in a separate group of 21 premanifest HD carriers who were scanned twice over a 2-year period.

resultsIn the original premanifest cohort, network analysis disclosed a significant spatial covariance pattern characterized by progressive changes in striato-thalamic and cortical metabolic activity. In these subjects, network activity increased linearly over 7 years and was not influenced by intercurrent phenoconversion. The rate of network progression was nearly identical when measured in the validation sample. Network activity progressed at approximately twice the rate of single region measurements from the same subjects.

conclusionMetabolic network measurements provide a sensitive means of quantitatively evaluating disease progression in premanifest individuals. This approach may be incorporated into clinical trials to assess disease-modifying agents.

trial registrationRegistration is not required for observational studies.

fundingNIH (National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering) and CHDI Foundation Inc.

Indexed as

AdultAnalysis of VarianceBiomarkersBrainCase-Control StudiesDisease ProgressionFemaleHeterozygoteHumansHuntington DiseaseMaleMiddle AgedModels, BiologicalNeuroimagingPattern Recognition, AutomatedPositron-Emission TomographyBiomarkersReceptors, Dopamine D2

Identifiers

PMID23985564
PMCPMC3754266
OpenAlexW2081840097

What OpenQuestion holds

Textmetadata
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.