Electrografted Laser-Induced Graphene: Direct Detection\nof Neurodegenerative Disease Biomarker in Cerebrospinal Fluid

There\nare more than 50 neurodegenerative disorders, and amyotrophic\nlateral sclerosis (ALS) is one of the most common disorders that poses\ndiagnostic and treatment challenges. The poly glycine–proline\n(polyGP) dipeptide repeat is a toxic protein that has been recognized\nas a pharmacodynamic biomarker of C9orf72-associated (c9+) ALS, a\nsubtype of ALS that originates from genetic mutation. Early detection\nof polyGP will help healthcare providers start timely gene therapy.\nHerein, we developed a label-free electrochemical immunoassay for\nthe simple detection of polyGP in unprocessed cerebrospinal fluid\n(CSF) samples collected from ALS patients in the National ALS Biorepository.\nFor the first time, an electrografted laser–induced graphene\n(E-LIG) electrode system was employed in a sandwich format to detect\npolyGP using a label-free electrochemical impedance technique. The\nresults show that the E-LIG-modified surface exhibited high sensitivity\nand selectivity in buffer and CSF media with limit of detection values\nof 0.19 and 0.27 ng/mL, respectively. The precision of the calibration\nmodel was better in CSF than in the buffer. The E-LIG immunosensor\ncan easily select polyGP targets in the presence of other dipeptide\nproteins translated from the c9 gene. Further study with CSF samples\nfrom ALS patients demonstrated that the label-free E-LIG-based immunosensor\nnot only quantified polyGP in the complex CSF matrix but also distinguished\nbetween c9+ and non-c9– ALS patients.

Publication Details

Journal
Figshare
Published
2024-08-15
DOI
https://doi.org/10.1021/acssensors.4c01150.s001
Primary Topic
Mycorrhizal Fungi and Plant Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electrografted Laser-Induced Graphene: Direct Detection\nof Neurodegenerative Disease Biomarker in Cerebrospinal Fluid

Figshare
Mycorrhizal Fungi and Plant Interactions
article

Electrografted Laser-Induced Graphene: Direct Detection\nof Neurodegenerative Disease Biomarker in Cerebrospinal Fluid

article en

Abstract

There\nare more than 50 neurodegenerative disorders, and amyotrophic\nlateral sclerosis (ALS) is one of the most common disorders that poses\ndiagnostic and treatment challenges. The poly glycine–proline\n(polyGP) dipeptide repeat is a toxic protein that has been recognized\nas a pharmacodynamic biomarker of C9orf72-associated (c9+) ALS, a\nsubtype of ALS that originates from genetic mutation. Early detection\nof polyGP will help healthcare providers start timely gene therapy.\nHerein, we developed a label-free electrochemical immunoassay for\nthe simple detection of polyGP in unprocessed cerebrospinal fluid\n(CSF) samples collected from ALS patients in the National ALS Biorepository.\nFor the first time, an electrografted laser–induced graphene\n(E-LIG) electrode system was employed in a sandwich format to detect\npolyGP using a label-free electrochemical impedance technique. The\nresults show that the E-LIG-modified surface exhibited high sensitivity\nand selectivity in buffer and CSF media with limit of detection values\nof 0.19 and 0.27 ng/mL, respectively. The precision of the calibration\nmodel was better in CSF than in the buffer. The E-LIG immunosensor\ncan easily select polyGP targets in the presence of other dipeptide\nproteins translated from the c9 gene. Further study with CSF samples\nfrom ALS patients demonstrated that the label-free E-LIG-based immunosensor\nnot only quantified polyGP in the complex CSF matrix but also distinguished\nbetween c9+ and non-c9– ALS patients.

Figshare
Good health and well-being
Openalex Percentile: Top 58%
Mycorrhizal Fungi and Plant Interactions
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.