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. 2022 Jul 29;13:954007. doi: 10.3389/fimmu.2022.954007

Table 2.

Serum levels of soluble markers of B cell activation in the SSc patients and healthy controls (discovery cohort).

Biomarkers Healthy controls (N=80) SSc patients (N=80) Effect size1 p-values2 p-values adjusted for FDR3
Positive RF, n (%) 8 (10%) 44 (55%) 12.68 (4.78; 33.61) <0.0001 <0.0001
β2-microglobulin (mg/L), median (Q1;Q3) 1.55 (1.34; 1.74) 2.09 (1.76; 2.64) 0.61 (0.35; 0.87) <0.0001 <0.0001
IgA (g/L), median (Q1;Q3) 1.82 (1.31; 2.45) 2.03 (1.64; 2.91) 0.36 (0.05; 0.68) 0.02 0.06
IgG (g/L), median (Q1;Q3) 9.30 (7.96; 10.31) 9.66 (8.30; 12.04) 0.55 (0.25; 0.86) 0.0004 0.001
IgM (g/L), median (Q1;Q3) 0.81 (0.61; 1.20) 1.01 (0.62; 1.57) 0.12 (-0.17; 0.41) 0.42 0.53
BAFF (pg/ml), median (Q1;Q3) 534 (446; 624) 620 (478; 864) 0.02 (-0.28; 0.32) 0.90 0.90
APRIL (pg/ml), median (Q1;Q3) 1911 (1619; 2236) 1958 (1425; 2313) 0.03 (-0.28; 0.34) 0.83 0.90
sBCMA (pg/ml), median (Q1;Q3) 37344 (29070; 47014) 44019 (24470; 59028) 0.24 (-0.07; 0.55) 0.13 0.23
sTACI (pg/ml), median (Q1;Q3) 3.79 (1.64; 7.18) 5.05 (1.79; 10.62) 0.24 (-0.07; 0.55) 0.14 0.90
sCD21 (pg/ml), median (Q1;Q3) 51516 (39990; 64006) 45520 (30635; 58414) -0.17 (-0.47; 0.13) 0.27 0.42
sCD23 (pg/ml), median (Q1;Q3) 1952 (1405; 3168) 1803 (984.8; 3144) -0.13 (-0.44; 0.18) 0.40 0.53
sCD25 (pg/ml), median (Q1;Q3) 305 (246; 391) 327.7 (248; 569) 0.24 (-0.07; 0.55) 0.13 0.23
sCD27 (pg/ml), median (Q1;Q3) 4440 (3615; 5658) 4906 (4191; 7395) 0.28 (-0.02; 0.59) 0.07 0.16
CXCL13 (pg/ml), median (Q1;Q3) 36.95 (24.46; 55.77) 81.73 (46.58; 120.5) 1.01 (0.69; 1.33) <0.0001 <0.0001

APRIL, a proliferation-inducing ligand; BAFF, B-cell-activating factor; BCMA, B-cell maturation antigen; CD, cluster of differentiation; CXCL13, C-X-C motif chemokine 13; FDR, false discovery rate; Ig, immunoglobulin; Q, quartile; RF, rheumatoid factor; s, soluble; SSc, systemic sclerosis; TACI, transmembrane activator and CAML interactor.

Results are expressed as median (first quartile; third quartile) for quantitative biomarkers and as frequency (percentage) otherwise.

All analyses were adjusted for age and gender.

1 For quantitative biomarkers, effect sizes were calculated on log transformed variables using the Cohen d. Absolute values of 0.20–0.49 represent a small change; values of 0.50–0.79 a medium change; and values of ≥ 0.80 a large change. For the binary biomarker, effect size is the odds ratio of the status for the risk of positive RF with the status control as reference value.

2 p-values calculated on log-transformed variables for quantitative biomarkers.

3 p-values corrected for multiplicity using the False Discovery Rate (FDR) method (Benjamini Hochberg procedure).