Evidence map›Paper›PMID 41000014›Full record

ArticleMovement disorders : official journal of the Movement Disorder Society2026

Cerebrospinal Fluid Proenkephalin Predicts Striatal Atrophy Decades before Clinical Motor Diagnosis in Huntington's Disease.

Mena Farag, Michael J Murphy, Nicola Z Hobbs, Michela Leocadi, Kate Fayer, Olivia Thackeray, Johan Gobom, Marc Ciosi, Amanda Heslegrave, Henrik Zetterberg and 5 more

Abstract read
In one paragraph

Article in Movement disorders : official journal of the Movement Disorder Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Fluid and Imaging Biomarkers in Huntington's Disease.Current neurology and neuroscience reports · 2026
    Review
  2. 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

15 authors.

Mena FaragHuntington's Disease Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-0679-0117
Michael J MurphyHuntington's Disease Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.
Nicola Z HobbsHuntington's Disease Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.
Michela LeocadiHuntington's Disease Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-7321-6054
Kate FayerHuntington's Disease Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.
Olivia ThackerayHuntington's Disease Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.
Johan GobomDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, at University of Gothenburg, Mölndal, Sweden.
Marc CiosiSchool of Molecular Biosciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
Amanda HeslegraveDementia Research Institute, University College London, London, United Kingdom.
Henrik ZetterbergDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, at University of Gothenburg, Mölndal, Sweden.
Douglas R LangbehnDepartment of Psychiatry and Biostatistics, Carver College of Medicine and College of Public Health, University of Iowa, Iowa City, Iowa, USA.ORCID https://orcid.org/0000-0002-7803-4679
Darren G MoncktonSchool of Molecular Biosciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
Edward J WildHuntington's Disease Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.
Sarah J TabriziHuntington's Disease Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-6470-7169
Rachael I ScahillHuntington's Disease Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.

Funding

CHDI FoundationWellcome TrustWellcome Trust 223082/Z/21/Z
6 · The paper itself

Abstract

backgroundHuntington's disease (HD) is characterized by early, selective, progressive vulnerability of striatal medium spiny neurons (MSNs). Proenkephalin (PENK), a precursor of opioid peptides abundantly expressed in MSNs, is a promising biomarker of striatal integrity, but region-specific associations and its potential for early-stage discrimination have not been characterized.

objectivesWe investigated cross-sectional and longitudinal associations between baseline cerebrospinal fluid (CSF) PENK concentration and regional brain atrophy, compared identified patterns with CSF neurofilament light (NfL), and evaluated PENK and NfL for discriminating between HD Integrated Staging System (HD-ISS) stage 0 versus 1 in a far-from-onset HD gene-expanded (HDGE) cohort.

methodsWhole-brain voxel-based morphometry was performed in 149 participants (72 HDGE, 77 controls) cross-sectionally and 88 participants (54 HDGE, 34 controls) longitudinally over a mean interval of 4.8 years. Voxel-wise linear regression tested associations between baseline biofluid biomarkers and gray/white matter volume, adjusting for age, sex and CAG-Age Product score, with false discovery rate correction. Logistic regression and receiver operating characteristic analyses assessed stage discrimination.

resultsLower baseline CSF PENK predicted longitudinal gray and white matter loss, predominantly in the striatum bilaterally. Higher baseline CSF NfL predicted widespread longitudinal white matter loss. For stage discrimination, PENK (area under curve [AUC], 0.706; P = 0.0002) outperformed NfL (AUC, 0.661; P = 0.1596) with minimal gain from combining both (AUC, 0.714; joint P = 0.0007).

conclusionsLower baseline CSF PENK concentration predicted longitudinal striatal atrophy and CSF PENK outperformed CSF NfL in distinguishing HD-ISS stages 0 and 1, supporting its role as a striatum-specific biomarker with potential to enrich early-stage HD trial cohorts. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Indexed as

Corpus StriatumEnkephalinsHuntington DiseaseProtein PrecursorsAdultAgedAtrophyBiomarkersCross-Sectional StudiesFemaleGray MatterHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedBiomarkersEnkephalinsneurofilament protein LNeurofilament ProteinsproenkephalinProtein PrecursorsHuntington's disease; proenkephalin; striatal atrophy; voxel‐based morphometry

Identifiers

PMID41000014
PMCPMC12882043

What Socratic 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 Socratic graph.