Validation of remote collection and quantification of blood Neurofilament light in neurological diseases.
Coleman, A.; Touze, A.; Farag, M.; Pengo, M.; Murphy, M. J.; Hassan, Y.; Thackeray, O.; Fayer, K.; Field, S.; Nakajima, M.; Broom, E. L.; Huxford, B.; Donkor, N.; Camboe, E.; Dey, K. C.; Zirra, A.; Ahmed, A.; Gameiro Costa, A. R.; Sorrell, H.; Zampedri, L.; Lombardi, V.; Wade, C.; Apap Mangion, S.; Fneich, B.; Heslegrave, A.; Zetterberg, H.; Noyce, A.; Malaspina, A.; Chataway, J.; Tabrizi, S. J.; Byrne, L. M.
Show 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 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
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Neurodegenerative fluid biomarkers are enriched in human cervical lymph nodes 94%
- Peripheral inflammatory markers relate to central inflammation and survival in syndromes associated with frontotemporal lobar degeneration 93%
- Brain Injury in COVID-19 is Associated with Autoinflammation and Autoimmunity 92%
Similar papers in this journal
Similar papers in this journal
- A Microglial Activity State Biomarker Panel Differentiates Ftd-Granulin And Ad From Control Cases 94%
- Single molecule array measures of LRRK2 kinase activity in serum link Parkinson's disease severity to peripheral inflammation 93%
- Network Analysis of the Cerebrospinal Fluid Proteome Reveals Shared and Unique Differences Between Sporadic and Familial Forms of Amyotrophic Lateral Sclerosis 93%
Similar papers in this journal
- Skeletal muscle biomarkers of amyotrophic lateral sclerosis: a large-scale, multi-cohort proteomic study 94%
- Elevated α-synuclein aggregate levels in the urine of patients with isolated REM sleep behavior disorder and Parkinson’s disease 92%
- Elevated plasma phosphorylated tau 181 in amyotrophic lateral sclerosis relates to lower motor neuron dysfunction 92%
Similar papers in this journal
- Prognostic Clinical and Biological Markers for Amyotrophic Lateral Sclerosis Disease Progression: Validation and Implications for Clinical Trial Design and Analysis 92%
- The ratio of plasma pTau181 and pTau217 to Aβ42 outperforms individual measurements in detecting brain amyloidosis 92%
- A point-of-care lateral flow assay for neutralising antibodies against SARS-CoV-2 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.