D007 Translatable plasma and CSF biomarkers for use in mouse models of Huntington’s disease

<h3>Background</h3> Monitoring plasma and CSF biomarkers of neuronal impairment in HD mice enhances our understanding of disease progression and facilitates potential therapeutic strategies for HD. <h3>Aims</h3> To better understand how plasma and CSF biomarker levels change with disease progression in HD mice. <h3>Methods</h3> Plasma was collected from R6/2:Q200 and WT at 4, 8 and 12 weeks, from R6/2:Q90 and WT at 4, 14 and 24 weeks and zQ175, YAC128 and respective WT mice at 2, 6 and 12 month. CSF was collected from the cisterna magna from R6/2:Q200 and WT at 12 weeks of age, from R6/2:Q90 and WT at 16 and 24 weeks of age, from zQ175, YAC128 and respective WT mice at 6 and 12 months. NEFL, Total-Tau and BRP-39 concentrations were quantified using the HD-1 (SIMOA, Quanterix). <h3>Results</h3> Quanterix analysis revealed elevated levels of plasma NEFL and BRP-39: in R6/2:Q200 at 8 and 12 weeks of age, in R6/2:Q90 at 4 (NEFL only), 14 and 24 weeks of age, in zQ175 at 6 and 12 months of age and in YAC128 at 6 (BRP-39 only) and 12 months of age compared to WT littermates. CSF NEFL levels were elevated in R6/2:Q200 at 12 weeks of age, in R6/2:Q90 at 16 and 24 weeks of age, in zQ175 at 6 and 12 months of age and in YAC128 at 6 (BRP-39 only) and 12 months of age compared to WT littermates. Plasma and CSF Tau levels were only elevated in HD mice as compared to WT littermates at late disease stage.

Authors

Institutions

Publication Details

Published
2024-09-01
DOI
https://doi.org/10.1136/jnnp-2024-ehdn.82
Primary Topic
Tissue Engineering and Regenerative Medicine
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

D007 Translatable plasma and CSF biomarkers for use in mouse models of Huntington’s disease

Edward J. Wild, Lauren M. Byrne, Gillian P. Bates, María Cañibano-Pico et al.
Tissue Engineering and Regenerative Medicine
article

D007 Translatable plasma and CSF biomarkers for use in mouse models of Huntington’s disease

Edward J. Wild, Lauren M. Byrne, Gillian P. Bates, María Cañibano-Pico, Jemima Phillips, Iulia M Nita, Marie K. Bondulich
article en

Abstract

<h3>Background</h3> Monitoring plasma and CSF biomarkers of neuronal impairment in HD mice enhances our understanding of disease progression and facilitates potential therapeutic strategies for HD. <h3>Aims</h3> To better understand how plasma and CSF biomarker levels change with disease progression in HD mice. <h3>Methods</h3> Plasma was collected from R6/2:Q200 and WT at 4, 8 and 12 weeks, from R6/2:Q90 and WT at 4, 14 and 24 weeks and zQ175, YAC128 and respective WT mice at 2, 6 and 12 month. CSF was collected from the cisterna magna from R6/2:Q200 and WT at 12 weeks of age, from R6/2:Q90 and WT at 16 and 24 weeks of age, from zQ175, YAC128 and respective WT mice at 6 and 12 months. NEFL, Total-Tau and BRP-39 concentrations were quantified using the HD-1 (SIMOA, Quanterix). <h3>Results</h3> Quanterix analysis revealed elevated levels of plasma NEFL and BRP-39: in R6/2:Q200 at 8 and 12 weeks of age, in R6/2:Q90 at 4 (NEFL only), 14 and 24 weeks of age, in zQ175 at 6 and 12 months of age and in YAC128 at 6 (BRP-39 only) and 12 months of age compared to WT littermates. CSF NEFL levels were elevated in R6/2:Q200 at 12 weeks of age, in R6/2:Q90 at 16 and 24 weeks of age, in zQ175 at 6 and 12 months of age and in YAC128 at 6 (BRP-39 only) and 12 months of age compared to WT littermates. Plasma and CSF Tau levels were only elevated in HD mice as compared to WT littermates at late disease stage.

University College London (GB)
CHDI Foundation, European Huntington's Disease Network
Openalex Percentile: Top 72%
Tissue Engineering and Regenerative Medicine
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.