Introduction
Materials and methods
Collection of CSF samples
Patient code | Clinical diagnosis | Age at CSF collection (years) | p-tau (pg/ml) * | t-tau (pg/ml) ** | Aβ1-42 (pg/ml) *** | Aβ1-40 (pg/ml) **** | Aβ1-42/Aβ1-40 ***** | MMSE score |
---|---|---|---|---|---|---|---|---|
AD#1 | AD | 63 | 56 | 452 | 694 | n.a | n.a | 22/30 |
AD#2 | AD | 58 | 98 | 1195 | 464 | n.a | n.a | 21/30 |
AD#3 | AD | 65 | 114 | 761 | 477 | n.a | n.a | 21/30 |
AD#4 | AD | 54 | 138 | 1133 | 349 | 9376 | 0.037 | n.a |
AD#5 | AD | 57 | 74 | 513 | 267 | 4661 | 0.057 | 12/30 |
AD#6 | AD | 49 | 64 | 427 | 525 | n.a | n.a | 26/30 |
AD#7 | MCI-AD | 52 | 72 | 451 | 575 | n.a | n.a | 28/30 |
AD#8 | AD | 75 | 79 | 779 | 464 | n.a | n.a | 23/30 |
AD#9 | AD | 63 | 52 | 404 | 483 | n.a | n.a | n.a |
AD#10 | AD | 75 | 179 | 1434 | 436 | n.a | n.a | 26/30 |
AD#11 | AD | 62 | 58 | 430 | 246 | 4603 | 0.053 | 21/30 |
AD#12 | AD | 77 | 94 | 855 | 314 | 6581 | 0.048 | 20/30 |
AD#13 | MCI-AD | 75 | 115 | 1130 | 440 | 8292 | 0.053 | 28/30 |
AD#14 | MCI-AD | 79 | 93 | 905 | 394 | 7536 | 0.052 | 28/30 |
AD#15 | AD | 70 | 60.1 | 396 | 230 | 4095 | 0.056 | 18/30 |
AD#16 | AD | 69 | 214.6 | 1258 | 261 | 7875 | 0.033 | 24/30 |
AD#17 | AD | 70 | 181.5 | 1211 | 577 | 10,190 | 0.057 | 24/30 |
AD#18 | AD | 74 | 239 | 1387 | 218 | 3839 | 0.057 | 26/30 |
AD#19 | AD | 74 | 93.2 | 610 | 434 | 9355 | 0.046 | 22/30 |
AD#20 | MCI-AD | 84 | 93.1 | 469 | 361 | 9005 | 0.040 | 29/30 |
ONC#1 | PSP | 71 | 46 | 278 | 460 | 7750 | 0.046 | n.a |
ONC#2 | PD | 58 | 24.1 | 131 | 592 | 6333 | 0.094 | n.a |
ONC#3 | HyC | 77 | 29 | 229 | 801 | 9760 | 0.082 | n.a |
ONC#4 | HyC | 71 | 28.7 | 163 | 594 | 7499 | 0.079 | n.a |
ONC#5 | HyC | 75 | 12.7 | 95 | 147 | 2090 | 0.070 | n.a |
ONC#6 | HyC | 78 | 54.4 | 299 | 645 | 10,337 | 0.062 | n.a |
ONC#7 | HyC | 75 | 21.7 | 136 | 267 | 4150 | 0.064 | n.a |
ONC#8 | HyC | 44 | 19.1 | 77 | 382 | 4374 | 0.087 | n.a |
ONC#9 | HyC | 63 | n.a | n.a | 163 | 1771 | 0.090 | n.a |
ONC#10 | HyC | 74 | 20.1 | 144 | 461 | 5149 | 0.090 | n.a |
ONC#11 | HyC | 59 | 26 | 138 | 1296 | 8101 | 0.160 | n.a |
Standard laboratory analyses of CSF samples
SAA analyses of CSF samples
AFM
SERS analysis of SAA products
Machine learning analysis
Results
CSF laboratory results
SAA analysis of CSF samples
Application of SERS to SAA products
Machine learning processing
Dataset | AUROC | Accuracy | Sensitivity | Specificity |
---|---|---|---|---|
AD vs ONC | 0.85 (0.16) | 0.84 (0.12) | 0.88 (0.13) | 0.77 (0.22) |
AD vs HyC | 0.84 (0.20) | 0.85 (0.13) | 0.89 (0.13) | 0.81 (0.20) |