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. 2022 Mar 11;14:683689. doi: 10.3389/fnagi.2022.683689

TABLE 4.

Blood-derived biomarker panels for prediction of cerebrospinal fluid (CSF) and PET status as gold standards.

Overlapped biomarkers
Panel AUC Reference standard Subjects (N) and disease stage Subjects characteristics (n, mean ± SD) References
Aβ42 Aβ42/Aβ40 APOEε4 APOE CgA EOT3 NF-L pTau181
Aβ42/Aβ40, APOEε4 status 0.88–0.913a Aβ-PET N = 176
HC, MCI, AD
Month 18
n = 176, avg. age: 73.7 ± 7.2, f/m: 86/90
Month 36
n = 169, avg. age: 75 ± 7.1, f/m: 83/86
Month 54
n = 135, avg. age: 76.9 ± 7.1, f/m: 65/70
Doecke et al., 2020
Aβ42/Aβ40, APOEε4 status 0.83 (95% CI 0.77–0.89; Sn = 76%; Sp = 75%)a CSF Aβ,Aβ-PET N = 248
SCD
N = 248, avg. age: 61 ± 9, f/m: 103/145 Verberk et al., 2018
Aβ42/Aβ40, APOEε4 status 0.78 Aβ-PET N = 95
SMC, non-SMC
Aβ− n = 63, avg. age: 77.65 ± 5.62, f/m: 44/19
Aβ+ n = 32, avg. age: 79.50 ± 5.32, f/m: 19/13
Chatterjee et al., 2019
Aβ42/Aβ40, APOEε4 status 0.519 (APOEε4+)
0.648 (APOEε4−)
Aβ-PET N = 117
APOEε4+, APOEε4−
APOEε4+ n = 28, avg. age: 71.6 ± 11.2, f/m: 18/10
APOEε4− n = 89, avg. age: 71.7 ± 12.2, f/m: 50/39
Tateno et al., 2017
Aβ42/Aβ40, APOEε4 status, tau, NF-L Cohort 1: 0.80–0.87; Cohort 2: 0.86 CSF Aβ42/Aβ40 N = 1079
CU, MCI, AD
Cohort 1
N = 842, avg. age: 72 ± 5.6, f/m: 446/396
Cohort 2
n = 237, avg. age: 66 ± 10, f/m: 120/117
Palmqvist et al., 2019
Aβ42/Aβ40, GFAP, NF-L Total:
0.88 (Sn = 0.82, Sp = 0.86)
Non-demented:
0.84 (Sn = 0.70, Sp = 0.86)
Aβ-PET N = 252
SCD, MCI, AD
PET+ n = 176, avg. age: 63 ± 7 years, f/m: 87/89
PET− n = 76, avg. age: 61 ± 9 years, f/m: 27/49
Verberk et al., 2020
Aβ42/Aβ40, pTau181 0.84 (95% CI = 0.79–0.89) Amyloid PET, Tau PET, CSF P-tau181 Cohort 1: N = 182
Cohort 2: N = 344
Preclinical AD, MCI, AD
Cohort 1 N = 182, avg. age: 72, f/m: 79/103
Cohort 2 n = 344, avg. age: 71, f/m: 174/170
Janelidze et al., 2020
Aβ42, CgA, EOT3, APOEε4 status 0.84 (Sn = 0.82; Sp = 0.62; PPV = 0.81; NPV = 0.64) CSF Aβ42 N = 358
HC, MCI, AD
HC n = 58, avg. age: 75.11 ± 0.77, f/m: 28/30
MCI n = 198, avg. age: 74.37 ± 7.49, f/m: 65/133
AD n = 102, avg. age: 74.86 ± 7.88, f/m: 43/59
Eke et al., 2020
Aβ42, APOE, CgA, EOT3, APOEε4 status 0.84 (Sn = 0.78, Sp = 0.73) CSF Aβ42, tTau, and pTau181 N = 566
HC, MCI, AD
Validation:
MCI
n = 198, avg. age: 75.13 ± 7.32, f/m: 75/123
AD n = 10, avg. age: 73.73 ± 10.04, f/m: 4/6
Goudey et al., 2017
Brain derive dexosomal Aβ42, pTau181, T-tau discovery cohort: 0.86–0.97; validation cohort: 0.85–0.98 CFS Aβ42, T-tau, and P-T181-tau N = 298
HC, aMCI, AD
N = 298, avg. age: 65 ± 6, f/m: 162/136 Jia et al., 2019

Aβ42, amyloid-β42; Aβ42/Aβ40, amyloid-β 42-40 ratio; APOE, apolipoprotein; T-tau, total tau; pTau181, phosphorylated tau 181; CgA, chromogranin-A; EOT3, eotaxin 3; AUC, area under the curve; CI, confidence interval; CSF, cerebrospinal fluid; AD, Alzheimer’s disease; aMCI, amnestic mild cognitive impairment; SCD, subjective cognitive decline.

aAge, gender, and presence of APOEε4 allele were included as covariates. The black squares show the overlapping biomarkers from the different studies.