Evidence map›Paper›PMID 37587097›Full record

ArticleBrain : a journal of neurology2023

Genetic topography and cortical cell loss in Huntington's disease link development and neurodegeneration.

Carlos Estevez-Fraga, Andre Altmann, Christopher S Parker, Rachael I Scahill, Beatrice Costa, Zhongbo Chen, Claudia Manzoni, Angeliki Zarkali, Alexandra Durr, Raymund A C Roos and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 32 citations in OpenAlex.

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  7. Exploring huntington's disease from a neurodevelopmental perspective.International journal of biological sciences · 2026
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  10. The mCells · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 8 institutions in 6 countries.

Carlos Estevez-FragaDepartment of Neurodegenerative Disease, University College London, London WC1B 5EH, UK.
Andre AltmannCentre for Medical Image Computing, University College London, London WC1V 6LJ, UK.ORCID 0000-0002-9265-2393
Christopher S ParkerCentre for Medical Image Computing, University College London, London WC1V 6LJ, UK.
Rachael I ScahillDepartment of Neurodegenerative Disease, University College London, London WC1B 5EH, UK.
Beatrice CostaDepartment of Neurodegenerative Disease, University College London, London WC1B 5EH, UK.
Zhongbo ChenDepartment of Neurodegenerative Disease, University College London, London WC1B 5EH, UK.ORCID 0000-0001-6668-7202
Claudia ManzoniSchool of Pharmacy, University College London, London WC1N 1AX, UK.
Angeliki ZarkaliDementia Research Centre, University College London, London WC1N 3AR, UK.ORCID 0000-0003-2808-072X
Alexandra DurrSorbonne Université, Paris Brain Institute (ICM), AP-HP, Inserm, CNRS, Paris 75013, France.ORCID 0000-0002-8921-7104
Raymund A C RoosDepartment of Neurology, Leiden University Medical Centre, Leiden 2333, The Netherlands.
Bernhard LandwehrmeyerDepartment of Neurology, University of Ulm, Ulm 89081, Germany.
Blair R LeavittCentre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver BC V5Z 4H4Canada.
Geraint ReesWellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, UK.ORCID 0000-0002-9623-7007
Sarah J TabriziDepartment of Neurodegenerative Disease, University College London, London WC1B 5EH, UK.
Peter McColganDepartment of Neurodegenerative Disease, University College London, London WC1B 5EH, UK.
University College London · GBCentre National de la Recherche Scientifique · FRGladstone Institutes · USLeiden University · NLUK Dementia Research Institute · GBUniversität Ulm · DEUniversity of British Columbia Hospital · CAWellcome Centre for Human Neuroimaging · GB

Funding

Medical Research CouncilWellcome TrustWellcome Trust 200181/Z/15/Z
6 · The paper itself

Abstract

Cortical cell loss is a core feature of Huntington's disease (HD), beginning many years before clinical motor diagnosis, during the premanifest stage. However, it is unclear how genetic topography relates to cortical cell loss. Here, we explore the biological processes and cell types underlying this relationship and validate these using cell-specific post-mortem data. Eighty premanifest participants on average 15 years from disease onset and 71 controls were included. Using volumetric and diffusion MRI we extracted HD-specific whole brain maps where lower grey matter volume and higher grey matter mean diffusivity, relative to controls, were used as proxies of cortical cell loss. These maps were combined with gene expression data from the Allen Human Brain Atlas (AHBA) to investigate the biological processes relating genetic topography and cortical cell loss. Cortical cell loss was positively correlated with the expression of developmental genes (i.e. higher expression correlated with greater atrophy and increased diffusivity) and negatively correlated with the expression of synaptic and metabolic genes that have been implicated in neurodegeneration. These findings were consistent for diffusion MRI and volumetric HD-specific brain maps. As wild-type huntingtin is known to play a role in neurodevelopment, we explored the association between wild-type huntingtin (HTT) expression and developmental gene expression across the AHBA. Co-expression network analyses in 134 human brains free of neurodegenerative disorders were also performed. HTT expression was correlated with the expression of genes involved in neurodevelopment while co-expression network analyses also revealed that HTT expression was associated with developmental biological processes. Expression weighted cell-type enrichment (EWCE) analyses were used to explore which specific cell types were associated with HD cortical cell loss and these associations were validated using cell specific single nucleus RNAseq (snRNAseq) data from post-mortem HD brains. The developmental transcriptomic profile of cortical cell loss in preHD was enriched in astrocytes and endothelial cells, while the neurodegenerative transcriptomic profile was enriched for neuronal and microglial cells. Astrocyte-specific genes differentially expressed in HD post-mortem brains relative to controls using snRNAseq were enriched in the developmental transcriptomic profile, while neuronal and microglial-specific genes were enriched in the neurodegenerative transcriptomic profile. Our findings suggest that cortical cell loss in preHD may arise from dual pathological processes, emerging as a consequence of neurodevelopmental changes, at the beginning of life, followed by neurodegeneration in adulthood, targeting areas with reduced expression of synaptic and metabolic genes. These events result in age-related cell death across multiple brain cell types.

Indexed as

Huntington DiseaseAtrophyBrainEndothelial CellsGray MatterHumansMagnetic Resonance Imagingatrophydiffusivitygene expressionHuntington’s diseaseimaging transcriptomics

Identifiers

PMID37587097
PMCPMC10629790
OpenAlexW4385855589

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.