Table 4 Relationship of CSF and Matching Serum KP Profile.

From: Kynurenine pathway metabolomics predicts and provides mechanistic insight into multiple sclerosis progression

CSF KP variables

Model (#)

Adjusted R2

p value

AIC

TRP

1: TRP paired serum only

0.3027

0.0004

51

2: TRP paired serum stratified by clinical groups

0 . 4442

0 . 0003

44

3: TRP paired serum stratified by clinical groups and adjusted for other KP variables

0.3895

0.0073

52

KYN

1: KYN paired serum only

0.0938

0.0411

−202

2: KYN paired serum stratified by clinical groups

0 . 5051

< 0 . 0001

−217

3: KYN paired serum stratified by clinical groups and adjusted for other KP variables

0.6142

<0.0001

−225

K/T Ratio

1: K/T Ratio paired serum only

0.2062

0.0036

243

2: K/T Ratio paired serum stratified by clinical groups

0 . 5592

< 0 . 0001

201

3: K/T Ratio paired serum stratified by clinical groups and adjusted for other KP variables

0.4835

0.0008

233

KA

1: KA paired serum only

0.07

0.068

59

2: KA paired serum stratified by clinical groups

0 . 4234

0 . 0004

45

3: KA paired serum stratified by clinical groups and adjusted for other KP variables

0.3317

0.0178

54

PA

1: PA paired serum only

0.1593

0.01012

271

2: PA paired serum stratified by clinical groups

0 . 5172

< 0 . 0001

229

3: PA paired serum stratified by clinical groups and adjusted for other KP variables

0.3548

0.1262

268

QA

1: QA paired serum only

0.334

0.0002

274.8

2: QA paired serum stratified by clinical groups

0 . 6293

< 0 . 0001

215

3: QA paired serum stratified by clinical groups and adjusted for other KP variables

0.4592

0.0021

274

  1. Abbreviations: AIC = Akaike information criterion. Note that selection of the best model among the proposed 3 models for each KP metabolites was based on the smallest AIC values. Overall, model 2 across all CSF KP variables has the smallest AIC value and the best model to predict CSF KP variables.
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