Table 2 Regression models on brain structure predicted by inflammatory components.

From: Different inflammatory signatures based on CSF biomarkers relate to preserved or diminished brain structure and cognition

Dependent

independent

F

Sig.

Partial eta2

B

SE

T

GM volume

age*

79.31

<0.001

0.242

−2.791

0.313

−8.906

ptau181*

18.11

<0.001

0.068

−0.365

0.086

−4.256

Aβ42/40

<1

0.737

<0.001

24.824

73.944

0.336

ICV*

466.78

<0.001

0.653

0.322

0.015

21.605

PC1*

8.62

0.004

0.034

6.433

2.191

2.937

PC2*

10.27

0.002

0.040

−5.420

1.692

−3.204

PC3

<1

0.923

<0.001

0.159

1.652

0.096

PC4

<1

0.381

0.003

−1.434

1.634

−0.878

gender*

10.11

0.002

0.039

14.752

4.640

3.179

WM volume

age*

66.47

<0.001

0.211

−3.318

0.407

−8.153

ptau181

3.16

0.077

0.013

−0.198

0.111

−1.778

Aβ42/40

<1

0.855

<0.001

17.540

95.999

0.183

ICV*

283.76

<0.001

0.534

0.326

0.019

16.845

PC1*

6.77

0.010

0.027

7.401

2.844

2.602

PC2*

7.01

0.009

0.027

−5.815

2.196

−2.648

PC3

0.29

0.588

0.001

−1.162

2.145

−0.542

PC4

<1

0.991

<0.001

0.025

2.121

0.012

gender

<1

0.926

<0.001

−0.559

6.024

−0.093

WMH volume

age*

29.26

<0.001

0.109

0.081

0.015

5.409

ptau181

1.61

0.206

0.007

0.005

0.004

1.268

Aβ42/40*

8.00

0.005

0.033

−10.004

3.517

−2.844

ICV*

6.15

0.014

0.025

0.002

0.001

2.481

PC1*

6.51

0.011

0.027

−0.270

0.106

−2.551

PC2

<1

0.626

0.001

0.039

0.080

0.487

PC3

2.54

0.113

0.011

0.125

0.079

1.593

PC4

1.51

0.220

0.006

0.095

0.078

1.230

gender

3.20

0.075

0.013

0.408

0.228

1.788

rate of GM change

age

0.84

0.360

0.005

0.002

0.002

0.919

ptau181*

18.21

<0.001

0.100

0.002

0.001

4.268

Aβ42/40*

4.16

0.043

0.025

−0.862

0.423

−2.039

ICV

<1

0.618

0.002

4.5E−05

9E−05

0.500

PC1*

6.37

0.013

0.037

−0.032

0.012

−2.523

PC2

2.53

0.114

0.015

−0.016

0.010

−1.590

PC3

<1

0.819

<0.001

−0.002

0.009

−0.229

PC4

<1

0.393

0.004

0.008

0.010

0.857

gender

<1

0.511

0.003

−0.018

0.028

−0.659

  1. Regression models tested whether inflammatory components (PC1−4) derived from a PCA predicted total gray matter (GM) volume (N = 258), total white matter (WM) volume (N = 258), white matter hyperintensity (WMH) volume (N = 249) or rate of GM change in AD-vulnerable areas (N = 174). Please note that higher values of this first eigenvariate of GM volume change denote faster atrophy. Significant (*) effects of interest are highlighted in bold. Additional covariates of no interest in all models included age, gender, intracranial volume (ICV), p-tau and Aβ42/40. Additional regression plots are shown in Fig. 2.
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