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. 2019 Mar 18;10:191. doi: 10.3389/fneur.2019.00191

Table 1.

Classification of potential biomarkers of metabolism in amyotrophic lateral sclerosis (ALS).

Marker Observation Utility as a biomarker in ALS Biomarker Score References
Specific to ALS Reproducible Pre-diagnostic Diurnal stability Independence Change with progression
ANTHROPOMETRIC MARKERS
Body mass index (BMI) Lower BMI is an indicator of poor prognosis. U-shaped association; lower BMI is associated with increased risk and faster progression whereas BMI in the range of morbid obesity is associated with shorter survival. Degree of premorbid loss of BMI predicts risk of ALS N N Y Y N Variable 2.5 (8, 1122)
Body weight Weight loss correlates with faster disease progression; weight loss suggested as a risk factor for ALS N N N Y N Variable 1.5 (14, 21, 2327)
Fat mass Fat mass at diagnosis is not a determinant of survival. Increased fat mass is correlated with longer survival N N Insufficient data Y N Y 2 (14, 28)
Fat free mass Fat free mass at diagnosis is not a determinant of survival. Loss of fat free mass is associated with shorter survival N Y Insufficient data Y N Y 3 (14, 23)
Fat distribution Redistribution and increased deposition of fat in muscle N Insufficient data Insufficient data Y N Insufficient data 1 (29)
IMAGING MARKERS
Brain glucose use Hypometabolism specific to select brain regions; varies between studies N Insufficient data Insufficient data Likely Likely Y 2 (3033)
Spinal cord glucose use Hypermetabolism; changes in glucose metabolism correlates with disease progression N Insufficient data Insufficient data Likely Likely Variable 1.5 (34, 35)
MUSCLE MARKERS
Creatine kinase Increased in blood; variability in correlation with disease progression/survival. Greater increase observed in male subjects and limb-onset ALS N Y Y Likely Likely Variable 3.5 (3643)
Mitochondrial function Decreased activity of complex I and IV. Activity also declines over course of disease N Insufficient data Insufficient data Y Y Variable 2.5 (44, 45)
PDK4 levels Increase in pyruvate dehydrogenase kinase 4 (PDK4) correlated with increased denervation and fuel switch N Insufficient data Insufficient data Y Y Likely 2.5 (46)
Glucose Increased N N Insufficient data N N N 0 (47)
Sphingolipids Increased N Insufficient data Insufficient data N N Y 1 (48)
Phosphatidylcholine Increased N Insufficient data Insufficient data N N N 0 (48)
Cholesterol + Carriers Increased N Insufficient data Insufficient data N N N 0 (49)
Lactate Increased N Insufficient data Insufficient data N N Insufficient data 0 (47, 50)
CEREBROSPINAL FLUID (CSF) MARKERS
Pyruvate Increased N Insufficient data Insufficient data N N Insufficient data 0 (51)
Insulin Decreased N Insufficient data Insufficient data N N N 0 (52)
Growth hormone Decreased N Insufficient data Insufficient data N N N 0 (52)
CIRCULATING MARKERS (BLOOD, PLASMA AND SERUM)
Glucose Increased (33% of patients achieve World Health Organization (WHO) criteria for impaired glucose tolerance) N N Insufficient data N N N 0 (53)
Mannose Increased N N Insufficient data N N Insufficient data 0 (54)
Free fatty acids Increased N N Insufficient data N N N 0 (53)
Sphingolipids Increased N N Insufficient data N N N 0 (54)
Cholesterol + Carriers Major variations and contradictory reports mask any specific trend N N Insufficient data N N Variable 0.5 (53, 5562)
β-hydroxy-butyrate Increased N N Insufficient data N N Insufficient data 0 (63)
2-hydroxy-butyrate Increased N N Insufficient data N N Insufficient data 0 (54)
α-ketoglutarate Increased N N Insufficient data N N Insufficient data 0 (54)
Acetate Increased N N Insufficient data N N Insufficient data 0 (63)
Adiponectin Increased N N Insufficient data N N N 0 (64)
Cortisol Increased N N Insufficient data N N N 0 (65)
Cortisol (morning peak) Decreased N N Insufficient data N N N 0 (65)
Insulin Decreased N N Insufficient data N N N 0 (52, 64)
Gastric inhibitory peptide Decreased N N Insufficient data N N N 0 (64)
Ghrelin Decreased N N Insufficient data N N N 0 (64, 66)
SALIVA MARKERS
Cortisol (night-time) Increased N Insufficient data Insufficient data N Likely Insufficient data 0.5 (67)
Cortisol (Stress-induced) Decreased N Insufficient data Insufficient data N Likely Insufficient data 0.5 (67)
Cortisol (circadian rhythm) Decreased N Insufficient data Insufficient data N Likely Insufficient data 0.5 (67)
URINE MARKERS
p75 neurotrophin receptor extracellular domain Increased N Likely Insufficient data Y Y Y 3.5 (68)

The strength of proposed biomarkers are scored relative to their potential to serve as markers that are specific to ALS, and that conform to the requirements as detailed in text.

Specific to ALS refers to uniqueness of the marker to ALS over other diseases, reproducible refers to whether the indicated change is reproducible across patient cohorts, pre-diagnostic indicates where changes are apparent prior to symptom onset, diurnal stability refers to the consistency of the marker throughout the day, independence indicates the ability of the marker to remain stable regardless of changes in food intake or behavior, change with progression identifies whether the marker changes as disease progresses. For each potential biomarker, a score out of 6 was determined (biomarker score, indicated in bold), where Y (Yes) = 1 point, N (No) = 0 points, Variable = 0.5 points, Likely (supported by animal or statistical modeling studies) = 0.5 points, and Insufficient data = 0 points.