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Table 3 Serum proteins significantly associated with modified Rodnan Skin Score (FDR < 0.05)

From: Multiomic study of skin, peripheral blood, and serum: is serum proteome a reflection of disease process at the end-organ level in systemic sclerosis?

Protein name

Uniprot accession

pa

ρb

ρpartc

SSc-Contd

Cytokines

CCL18

P55774

0.001

0.4

0.48

 

GDF-8

O14793

0.002

− 0.32

− 0.45

 

CCL3

P10147

0.001

0.3

0.31

 

ECM proteins

NOV

P48745

< 0.001

0.56

0.54

Up

SMOC2

Q9H3U7

< 0.001

0.55

0.51

 

Enzymes

CA6

P23280

< 0.001

− 0.42

− 0.48

 

PCSK9

Q8NBP7

0.001

− 0.5

− 0.46

 

DDC

P20711

0.002

− 0.38

− 0.37

 

Growth factor receptors

EGFR

P00533

< 0.001

− 0.5

− 0.54

Down

DNER

Q8NFT8

< 0.001

− 0.4

− 0.43

Down

ERBB4

Q15303

0.001

− 0.4

− 0.38

 

NTRK2

Q16620

0.001

− 0.39

− 0.34

Down

Growth factors

VEGFD

O43915

0.001

− 0.48

− 0.45

 

PGF

P49763-3

0.002

0.45

0.39

Up

VEGFA

P15692

0.002

0.39

0.39

 

Integrins

ITGAV

P06756

< 0.001

− 0.49

− 0.47

Down

ITGB1

P05556

0.002

− 0.41

− 0.36

 

Lectin

Gal-4

P56470

0.001

− 0.53

− 0.52

 

Others

RCOR1

Q9UKL0

< 0.001

0.61

0.66

 

THBS4

P35443

< 0.001

0.59

0.58

Up

PSIP1

O75475

< 0.001

0.56

0.55

 

ALCAM

Q13740

0.001

− 0.59

− 0.54

 

ADGRG2

Q8IZP9

0.001

− 0.56

− 0.54

Down

ENAH

Q8N8S7

0.001

0.5

0.5

 

IGFBP6

P24592

0.002

− 0.5

− 0.5

Down

CD177

Q8N6Q3

0.001

0.42

0.47

 

CD58

P19256

0.002

− 0.48

− 0.46

 

SOST

Q9BQB4

< 0.001

− 0.38

− 0.46

Down

LYN

P07948

0.001

0.38

0.45

 

DPP6

P42658

0.001

− 0.45

− 0.44

 

Ep-CAM

P16422

0.001

− 0.45

− 0.44

Down

TF

P13726

0.001

− 0.43

− 0.43

 

ZBTB17

Q13105

< 0.001

0.43

0.42

 

LAYN

Q6UX15

0.001

0.41

0.41

Up

TRAIL

P50591

0.001

− 0.4

− 0.4

Down

IL-1RT2

P27930

0.001

− 0.35

− 0.39

 

PECAM-1

P16284

0.001

− 0.21

− 0.31

 

TNF receptor superfamily

TRAIL-R2

O14763

0.001

0.5

0.49

Up

TNFRSF12A

Q9NP84

0.001

0.36

0.45

 
  1. aThe significance of association from multiple linear regression model after adjustment for age and gender
  2. bSpearman correlation between mRSS and protein expression
  3. cPartial (adjusted for age and gender) Spearman correlation between mRSS and protein expression
  4. dDirection of SSc-Cont differential expression (if significant)