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Table 3 Baseline characteristics and CSF biomarkers in mild cognitive impairment

From: Cerebrospinal fluid VILIP-1 and YKL-40, candidate biomarkers to diagnose, predict and monitor Alzheimer’s disease in a memory clinic cohort

 

sMCI

MCI-AD

(n = 17)

(n = 36)

Age (years)

64 (2)

70 (1)*

Sex, female

6 (35 %)

13 (36 %)

MMSE (range 0–30)a

28 (0.6)

26 (0.4)*

Aβ42

579 (493–814)

410 (322–507)**

tau

274 (212–418)

739 (463–950)**

ptau-181

47 (40–79)

90 (65–124)**

YKL-40 (ng/ml), baseline

242 (31)

327 (19)*

YKL-40 (ng/ml), follow-up

247 (23)

363 (22)*

 Annual change, (β(SE))

10.2 (6.4)

10.1 (3.1)

VILIP-1 (pg/ml), baseline

136 (25)

233 (17) **

VILIP-1 (pg/ml), follow-up

167 (20)

256 (19)**

 Annual change, (β(SE))

16.4 (6.1)§

12.0 (3.0)

  1. Data presented as mean (SE) or number (percentage). At baseline VILIP-1 data were missing for two patients and YKL-40 for one patient. Fisher’s exact test or ANOVA with post-hoc Bonferroni corrections was used when applicable. CSF biomarkers were log-transformed for ANOVA analyses. Longitudinal effects were assessed using age and sex-adjusted linear mixed models, with CSF biomarkers (VILIP-1 and YKL-40) as dependent variables and clinical diagnosis (sMCI vs. MCI-AD), time (LP interval in years), and interaction diagnosis × time as independent variables. The reported β value represents the estimated change of YKL-40 (ng/ml) or VILIP-1 (pg/ml) levels per year
  2. aBaseline MMSE was available for 52 patients
  3. * p ≤0.05 vs. sMCI
  4. ** p ≤0.005 vs. sMCI
  5. p ≤0.005 for time effect
  6. § p ≤0.05 for time effect
  7. Aβ42 amyloid beta 1–42, ANOVA analysis of variance, CSF cerebrospinal fluid, LP lumbar puncture, MCI-AD mild cognitive impairment progressing to Alzheimer’s disease, MMSE Mini-Mental State Examination, ptau-181 tau phosphorylated at threonine 181, sMCI stable mild cognitive impairment, SE standard error, tau total tau, VILIP-1 Visinin-like protein-1, YKL-40 Chitinase-3-like protein 1