Validation of remote collection and quantification of blood 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, Elizabeth L Broom,Brook Huxford, Natalie Donkor, Ellen Camboe, Kamalesh C Dey, Alexandra Zirra,Aisha Ahmed, Ana Rita Gameiro Costa, Harriet Sorrell, Luca Zampedri,Vittoria Lombardi,Charles Wade, Sean Mangion, Batoul Fneich,Amanda Heslegrave,Henrik Zetterberg, Alastair Noyce,Andrea Malaspina,Jeremy Chataway,Sarah J Tabrizi,Lauren M Byrne

medRxiv (Cold Spring Harbor Laboratory)(2023)

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摘要
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
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