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

There are more than 50 neurodegenerative disorders, and amyotrophic lateral sclerosis (ALS) is one of the most common disorders that poses diagnostic and treatment challenges. The poly glycine-proline (polyGP) dipeptide repeat is a toxic protein that has been recognized as a pharmacodynamic biomarker of C9orf72-associated (c9+) ALS, a subtype of ALS that originates from genetic mutation. Early detection of polyGP will help healthcare providers start timely gene therapy. Herein, we developed a label-free electrochemical immunoassay for the simple detection of polyGP in unprocessed cerebrospinal fluid (CSF) samples collected from ALS patients in the National ALS Biorepository. For the first time, an electrografted laser-induced graphene (E-LIG) electrode system was employed in a sandwich format to detect polyGP using a label-free electrochemical impedance technique. The results show that the E-LIG-modified surface exhibited high sensitivity and selectivity in buffer and CSF media with limit of detection values of 0.19 and 0.27 ng/mL, respectively. The precision of the calibration model was better in CSF than in the buffer. The E-LIG immunosensor can easily select polyGP targets in the presence of other dipeptide proteins translated from the c9 gene. Further study with CSF samples from ALS patients demonstrated that the label-free E-LIG-based immunosensor not only quantified polyGP in the complex CSF matrix but also distinguished between c9+ and non-c9- ALS patients.

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Publication Details

Journal
ACS Sensors
Published
2024-08-15
DOI
https://doi.org/10.1021/acssensors.4c01150
Citations
9
Primary Topic
Amyotrophic Lateral Sclerosis Research
Type
article
Field-Weighted Citation Impact
3.32

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article

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

Omair Adil, Mohtashim H. Shamsi, Comfort Adeyeye
9 citations
ACS Sensors
Amyotrophic Lateral Sclerosis Research
3.32
article

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

Omair Adil, Mohtashim H. Shamsi, Comfort Adeyeye
article en
9 citations

Abstract

There are more than 50 neurodegenerative disorders, and amyotrophic lateral sclerosis (ALS) is one of the most common disorders that poses diagnostic and treatment challenges. The poly glycine-proline (polyGP) dipeptide repeat is a toxic protein that has been recognized as a pharmacodynamic biomarker of C9orf72-associated (c9+) ALS, a subtype of ALS that originates from genetic mutation. Early detection of polyGP will help healthcare providers start timely gene therapy. Herein, we developed a label-free electrochemical immunoassay for the simple detection of polyGP in unprocessed cerebrospinal fluid (CSF) samples collected from ALS patients in the National ALS Biorepository. For the first time, an electrografted laser-induced graphene (E-LIG) electrode system was employed in a sandwich format to detect polyGP using a label-free electrochemical impedance technique. The results show that the E-LIG-modified surface exhibited high sensitivity and selectivity in buffer and CSF media with limit of detection values of 0.19 and 0.27 ng/mL, respectively. The precision of the calibration model was better in CSF than in the buffer. The E-LIG immunosensor can easily select polyGP targets in the presence of other dipeptide proteins translated from the c9 gene. Further study with CSF samples from ALS patients demonstrated that the label-free E-LIG-based immunosensor not only quantified polyGP in the complex CSF matrix but also distinguished between c9+ and non-c9- ALS patients.

ACS SensorsVol. 9(9)
Southern Illinois University Carbondale (US)
National Institute of General Medical Sciences
Good health and well-being
Openalex Percentile: Top 7%
Amyotrophic Lateral Sclerosis Research
3.32
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Electrografted Laser-Induced Graphene: Direct Detection of Neurodegenerative Disease Biomarker in Cerebrospinal Fluid — Omair Adil, Mohtashim H. Shamsi, et al. · ACS Sensors (2024) | TGRS Research Map | TGRS