Validation of remote collection and quantification of blood Neurofilament light in neurological diseases

Author:

Coleman AnnabelleORCID,Touzé AlexianeORCID,Farag MenaORCID,Pengo MartaORCID,Murphy Michael J,Hassan YaraORCID,Thackeray Olivia,Fayer KateORCID,Field Sophie,Nakajima MitsukoORCID,Broom Elizabeth LORCID,Huxford BrookORCID,Donkor Natalie,Camboe EllenORCID,Dey Kamalesh CORCID,Zirra AlexandraORCID,Ahmed Aisha,Costa Ana Rita GameiroORCID,Sorrell Harriet,Zampedri LucaORCID,Lombardi Vittoria,Wade Charles,Mangion SeanORCID,Fneich BatoulORCID,Heslegrave AmandaORCID,Zetterberg HenrikORCID,Noyce AlastairORCID,Malaspina AndreaORCID,Chataway Jeremy,Tabrizi Sarah JORCID,Byrne Lauren MORCID

Abstract

AbstractPromising 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 ease the burden of in-person clinical visits for such tests and allow for frequent sampling. Here we evaluated a capillary finger-prick collection for remote quantification of blood neurofilament light (NfL), a common 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 NfL levels across four different neurological conditions (HD, MS, ALS, PD). 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 blood serum and plasma. Only NfL remained stable after seven-day processing delay. Capillary NfL replicated disease group differences displayed in venous blood.This data supports our finger-prick method 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.Graphical abstract: Figure 1

Publisher

Cold Spring Harbor Laboratory

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