Evidence map›Paper›PMID 40637865›Full record

ArticleJournal of neurology2025

Evaluating finger-prick blood collection for remote quantification of neurofilament light in neurological diseases.

Annabelle Coleman, Alexiane Touzé, Mena Farag, Marta Pengo, Michael J Murphy, Yara Hassan, Olivia Thackeray, Kate Fayer, Sophie Field, Mitsuko Nakajima and 23 more

Abstract read
In one paragraph

Article in Journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

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

33 authors.

Annabelle Coleman *UCL Huntington's Disease Centre, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Alexiane Touzé *UCL Huntington's Disease Centre, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Mena FaragUCL Huntington's Disease Centre, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Marta PengoUCL Huntington's Disease Centre, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Michael J MurphyUCL Huntington's Disease Centre, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Yara HassanUCL Huntington's Disease Centre, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Olivia ThackerayUCL Huntington's Disease Centre, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Kate FayerUCL Huntington's Disease Centre, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Sophie FieldUCL Huntington's Disease Centre, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Mitsuko NakajimaUCL Huntington's Disease Centre, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Elizabeth L BroomUCL Huntington's Disease Centre, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Nicola Z HobbsUCL Huntington's Disease Centre, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Brook HuxfordCentre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, London, EC1M 6BQ, UK.
Natalie DonkorCentre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, London, EC1M 6BQ, UK.
Ellen CamboeCentre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, London, EC1M 6BQ, UK.
Kamalesh C DeyCentre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, London, EC1M 6BQ, UK.
Alexandra ZirraCentre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, London, EC1M 6BQ, UK.
Aisha AhmedQueen Square MND Centre, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Ana Rita Gameiro CostaQueen Square MND Centre, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Harriet SorrellQueen Square MND Centre, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Luca ZampedriQueen Square MND Centre, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Vittoria LombardiQueen Square MND Centre, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Charles WadeQueen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, WC1B 5EH, UK.
Sean MangionQueen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, WC1B 5EH, UK.
Batoul FneichQueen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, WC1B 5EH, UK.
Amanda HeslegraveUK Dementia Research Institute and Department of Neurodegenerative Diseases, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Henrik ZetterbergUK Dementia Research Institute and Department of Neurodegenerative Diseases, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Rachael ScahillUCL Huntington's Disease Centre, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Alastair NoyceCentre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, London, EC1M 6BQ, UK.
Andrea MalaspinaQueen Square MND Centre, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Jeremy ChatawayQueen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, WC1B 5EH, UK.
Sarah J TabriziUCL Huntington's Disease Centre, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Lauren M ByrneUCL Huntington's Disease Centre, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK. lauren.byrne.14@ucl.ac.uk.ORCID http://orcid.org/0000-0003-1650-4273

Funding

Medical Research Council MR/W026686/1
6 · The paper itself

Abstract

Promising blood-based biomarkers of neuropathology have emerged with potential for therapeutic development and disease monitoring. However, these tools will require specialist tertiary services for integration into clinical management. Remote sampling for biomarker assessment could reduce burden of in-person clinical visits for such tests as well as increasing the sampling frequency and patient geographical outreach. Here, we evaluated a finger-prick blood collection approach for remote quantification of neurofilament light (NfL), a candidate blood-based biomarker evident in various neurological disorders, and other exploratory markers of neuronal injury and neuroinflammation (GFAP, tau). Matched samples from venepuncture and finger-prick were collected and processed into plasma and/or serum to directly compare analyte levels from a multi-disease discovery cohort (n = 54 healthy controls; n = 57 Huntington's disease (HD); n = 34 multiple sclerosis; n = 7 amyotrophic lateral sclerosis; n = 11 Parkinson's disease), and a HD confirmatory cohort (n = 57 healthy controls; n = 64 HD). Two delayed processing conditions were compared, three- and seven-day delay, simulating ambient shipment. Capillary NfL and GFAP concentrations were equivalent to those in venous serum and plasma in the multi-disease discovery cohort and HD confirmatory cohort. Only NfL remained stable after a seven-day processing delay in both venous and capillary serum samples. Using NfL concentrations from capillary blood, we replicated previously published disease group differences measured in venous blood. This data supports our finger-prick approach for remote collection and quantification of NfL. With the widespread applications for NfL across the spectrum of neurological disorders, this has the potential to transform disease monitoring, prognosis, and therapeutic development within clinical practice and research.

Indexed as

Blood Specimen CollectionNervous System DiseasesNeurofilament ProteinsAdultAgedAmyotrophic Lateral SclerosisBiomarkersCohort StudiesFemaleHumansHuntington DiseaseMaleMiddle AgedMultiple SclerosisParkinson DiseaseBiomarkersneurofilament protein LNeurofilament ProteinsBiomarkersBloodFinger-prickNeurodegenerative disordersNeurofilament lightRemote sampling

Identifiers

PMID40637865
PMCPMC12245952

What OpenQuestion holds

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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.