Amyotrophic Lateral Sclerosis (ALS) prediction model derived from plasma and CSF biomarkers

Amyotrophic Lateral Sclerosis (ALS) is a degenerative disorder of motor neurons which leads to complete loss of movement in patients. The only FDA approved drug Riluzole provides only symptomatic relief to patients. Early Diagnosis of the disease warrants the importance of diagnostic and prognostic...

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Bibliographic Details
Published in:PloS one 2021-02, Vol.16 (2), p.e0247025-e0247025
Main Authors: Khosla, Radhika, Rain, Manjari, Sharma, Suresh, Anand, Akshay
Format: Article
Language:English
Subjects:
Alcohol
Amyotrophic lateral sclerosis
Angiogenin
Biological markers
Biology and Life Sciences
Biomarkers
Biomolecules
Cerebrospinal fluid
Chemokines
Deoxyribonucleic acid
DNA
Editing
Education
Family medical history
FDA approval
Growth factors
Health risks
Hypotheses
Maximum likelihood method
Medical education
Medical prognosis
Medical research
Medicine and Health Sciences
Monocyte chemoattractant protein 1
Motor neuron diseases
Motor neurone disease
Nervous system
Neurodegenerative diseases
Neurological research
Neurology
Neurosciences
Oxidative stress
Paralysis
Physical Sciences
Plasma
Prediction models
Prognosis
Puncture
Research and Analysis Methods
Sociodemographics
Spine
Statistical analysis
Vascular endothelial growth factor
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Summary:Amyotrophic Lateral Sclerosis (ALS) is a degenerative disorder of motor neurons which leads to complete loss of movement in patients. The only FDA approved drug Riluzole provides only symptomatic relief to patients. Early Diagnosis of the disease warrants the importance of diagnostic and prognostic models for predicting disease and disease progression respectively. In the present study we represent the predictive statistical model for ALS using plasma and CSF biomarkers. Forward stepwise (Binary likelihood) Logistic regression model is developed for prediction of ALS. The model has been shown to have excellent validity (94%) with good sensitivity (98%) and specificity (93%). The area under the ROC curve is 99.3%. Along with age and BMI, VEGF (Vascular Endothelial Growth Factor), VEGFR2 (Vascular Endothelial Growth Factor Receptor 2) and TDP43 (TAR DNA Binding Protein 43) in CSF and VEGFR2 and OPTN (Optineurin) in plasma are good predictors of ALS.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0247025