Table 1.
Characteristics of the study population, overall and as a function of profiles defined by CSF biomarkers.
Profiles are based on CSF Aβ42, CSF Tau, and CSF p-Tau (NIA-AA classification): A-N-: normal levels of all three biomarkers; A+N-: low level of CSF Aβ42 and normal levels of CSF Tau and CSF p-Tau 181; A+N+: lowe level of CSF Aβ42 and increased level of CSF Tau and/or CSF p-Tau 181; A-N+: high CSF Tau and/or CSF p-Tau 181 but normal Aβ42.
Table 2.
Association between CSF Tau (log transformed) and CSF Aβ42, linear regression analysis.
Profiles are based on CSF Aβ42, CSF Tau, and CSF p-Tau (NIA-AA classification).
Fig 1.
Scatter plot of CSF Aβ42 and log transformed CSF Tau.
A. In the total study population. The quadratic model is presented in green. B. In analysis separately in each profile. Green: A-N-, brown: A+N-, orange: A-N+, red: A+N+. Linear regression models are presented and Spearman correlation coefficients.
Fig 2.
Mean CSF Aβ42 by deciles of CSF Tau, as a function of APOE4 status.
Green line: No APOE ε4 allele. Red line: at least one APOE ε4 allele. The linear regression coefficients show analysis between CSF Aβ42 and deciles of CSF Tau are presented by APOE4 status, stratified by the median of CSF Tau.
Table 3.
Change over time in profiles defined by CSF biomarkers profiles in 70 patients with 2 assessments of biomarkers.
Profiles are based on CSF Aβ42, CSF Tau, and CSF p-Tau (NIA-AA classification).
Fig 3.
Two distinct patterns: Theoretical framework of the association between CSF Aβ42 and CSF Tau.
In green, patients with normal profiles have an increase of CSF Aβ42 followed by a decrease after the progression of tau pathology. In red, patients with isolated low CSF Aβ42 had a stable level before declining.