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. 2021 Feb 23;12:631539. doi: 10.3389/fimmu.2021.631539

Table 2.

Likelihood of primary Sjogren syndrome (pSS) diagnosis versus rheumatoid arthritis (RA) or Systemic Lupus Erythematosus (SLE) as a function of an increase in biomarker concentration.

Biomarker name / Value of unit increase in serum concentration pSS probability vs RA pSS probability vs SLE
OR [95% CI] p OR [95% CI] p
SPP1 / +10 ng/ml 1.067 [0.876–1.299] 0.5193 1.035 [0.787–1.36] 0.8076
HDP / +100 ng/ml 1.057 [0.974–1.147] 0.1835 0.9 [0.817–0.991] 0.0318
TPS2 / +10 ng/ml 1.059 [0.716–1.567] 0.7737 0.697 [0.433–1.122] 0.1371
preHp2 / +100 ng/ml 1.019 [0.877–1.183] 0.8066 0.859 [0.686–1.074] 0.1827
LGalS3P/ +1,000 ng/ml 1.116 [0.982–1.268] 0.092 1.029 [0.886–1.196] 0.7042
Adiponectin / +1,000 ng/ml 0.954 [0.87–1.047] 0.3191 0.958 [0.845–1.086] 0.5009
oxLDL/ +10,000 mU/ml 1.034 [0.822–1.301] 0.7737 1.093 [0.815–1.465] 0.5538
Hyaluronic Acid / +10 ng/ml 0.936 [0.863–1.015] 0.1109 1.137 [0.948–1.363] 0.1662
RA: FABP4 / +10 ng/ml SLE: FABP4 Tertile 1 1.033 [0.9–1.186] 0.6408 0.32 [0.063–1.631] 0.1704
SLE: FABP4 Tertile 2 0.459 [0.086–2.459] 0.3632
RA: CTSS / +1000pg/ml SLE: CTSS Classes 0, 1, 2 0.939 [0.771–1.143] 0.5289 3.123 [0.563–17.314] 0.1925
SLE: CTSS Classes 3, 4 14.064 [1.56–126.806] 0.0185
BDNF / +10,000pg/ml 0.493 [0.273–0.891] 0.0193 0.817 [0.406–1.647] 0.5728
RA: SPARC / +100ng/ml  SLE: SPARC Classes 0, 1, 2 1.065 [0.877–1.293] 0.5263 0.311 [0.031–3.173] 0.3246
SLE: SPARC Class 3 1.794 [0.073–44.11] 0.7205
SLE: SPARC Class 4 0.035 [0.002–0.66] 0.0253
Haptoglobin / +10,000 ng/ml 1.015 [1.002–1.029] 0.0262 1.004 [0.991–1.018] 0.5438
RA: sCD14 Tertile 1 SLE: sCD14+10,000 pg/ml  0.825 [0.245–2.783] 0.757 0.99 [0.975–1.005] 0.1907
RA: sCD14 Tertile 2 0.779 [0.243–2.501] 0.675
MBL2 / +100 ng/ml 1.032 [0.976–1.09] 0.2679 1.055 [0.959–1.161] 0.2691
APRIL/TNFSF13 / +10,000 pg/ml 1.059 [0.952–1.177] 0.2921 0.995 [0.931–1.063] 0.8788
BAFF/TNFSF13B / +10,000 pg/ml 0.745 [0.53–1.047] 0.0898 0.704 [0.408–1.215] 0.2076
sCD30/TNFRSF8 / +100 pg/ml 1.045 [0.841–1.3] 0.6903 0.806 [0.631–1.03] 0.0848
sCD163 / +10,000 pg/ml 1.138 [0.96–1.35] 0.1364 0.803 [0.649–0.994] 0.0436
Chitinase 3 like / +1,000 pg/ml 0.972 [0.922–1.025] 0.3004 0.949 [0.881–1.023] 0.1699
gp130/sIL-6Rb / +1,000 pg/ml 1.031 [0.98–1.084] 0.2383 1.007 [0.948–1.069] 0.8271
sIL-6Ra / +1,000 pg/ml 0.901 [0.803–1.012] 0.0776 0.856 [0.698–1.049] 0.1329
MMP-2 / +1,000 pg/ml 1.025 [0.975–1.077] 0.3314 1.009 [0.947–1.075] 0.7793
MMP-3 / +1,000 pg/ml 1.007 [0.898–1.13] 0.9025 1.043 [0.899–1.209] 0.579
Osteocalcin / +100 pg/ml 0.96 [0.903–1.02] 0.1886 0.981 [0.919–1.047] 0.5574
Osteopontin / +1000 pg/ml 0.994 [0.957–1.033] 0.7697 1.001 [0.962–1.04] 0.9794
Pentraxin-3 / +10 pg/ml 1.003 [0.972–1.035] 0.8548 0.981 [0.945–1.018] 0.3007
sTNFR1 / +1,000 pg/ml 1.784 [0.882–3.607] 0.1072 0.929 [0.617–1.4] 0.7255
sTNFR2 / +1,000 pg/ml 1.317 [0.969–1.79] 0.0785 0.79 [0.588–1.06] 0.1162
TWEAK/TNSF12 / +10 pg/ml 1.03 [0.955–1.112] 0.4429 0.983 [0.883–1.095] 0.7539
6Ckine/CCL21 / +1,000 pg/ml 1.104 [0.703–1.733] 0.6669 0.63 [0.366–1.086] 0.0964
BCA-1/CXCL13 / +10 pg/ml 0.984 [0.921–1.051] 0.6347 0.931 [0.802–1.081] 0.3501
CTACK/CCL27 / +100 pg/ml 1.001 [0.931–1.076] 0.9865 0.534 [0.287–0.991] 0.5596
ENA-78/CXCL5 / +100 pg/ml 1.052 [0.984–1.126] 0.1393 1.029 [0.977–1.083] 0.2799
Eotaxin/CCL11 / +10 pg/ml 0.964 [0.858–1.084] 0.5408 0.895 [0.767–1.043] 0.1556
Eotaxin-2/CCL24 / +100 pg/ml 1.036 [0.971–1.105] 0.2819 0.889 [0.811–0.974] 0.0117
RA: Fractalkine/CX3CL1 Tertile 1 SLE: Fractalkine/CX3CL1 / +100 pg/ml  0.467 [0.138–1.583] 0.2213 0.0466
RA: Fractalkine/CX3CL1 Tertile 2 0.52 [0.148–1.825] 0.3075
GCP-2/CXCL6 / +10 pg/ml 1.03 [0.881–1.204] 0.7122 0.971 [0.816–1.156] 0.743
GM-CSF / +10 pg/ml 1.065 [0.909–1.249] 0.4347 0.898 [0.753–1.071] 0.2329
RA: Gro-a/CXCL1 / +10 pg/ml SLE: Gro-a/CXCL1 Tertile 1 1.018 [0.977–1.06] 0.3973 3.931 [0.901–17.155] 0.0686
SLE: Gro-a/CXCL1 Tertile 2 1.663 [0.292–9.463] 0.5662
Gro-b/CXCL2 / +100 pg/ml 1.057 [0.938–1.192] 0.3636 0.965 [0.867–1.074] 0.5118
I-309/CCL1 / +10 pg/ml 1.025 [0.786–1.338] 0.8544 0.962 [0.728–1.272] 0.787
IL-4 / +10 pg/ml 0.623 [0.317–1.226] 0.1709 0.632 [0.293–1.363] 0.2422
IL-8 / +10 pg/ml 0.966 [0.883–1.056] 0.4444 0.904 [0.602–1.357] 0.6257
IL-16 / +100 pg/ml 1.027 [0.847–1.245] 0.7891 0.87 [0.645–1.175] 0.3641
IP-10/CXCL10 / +100 pg/ml 0.973 [0.781–1.213] 0.8105 0.808 [0.596–1.095] 0.1689
I-TAC/CXCL11 / +10 pg/ml 1.344 [1.027–1.76] 0.0314 0.932 [0.844–1.028] 0.1572
RA: MCP-1/CCL2 Tertile 1 SLE: MCP-1/CCL2 / +10 pg/ml 1.925 [0.568–6.519] 0.2927 0.839 [0.732–0.962] 0.0121
RA: MCP-1/CCL2 Tertile 2 2.2 [0.681–7.102] 0.1873
MCP-2/CCL8 / +10 pg/ml 1.011 [0.883–1.157] 0.8734 0.92 [0.794–1.067] 0.2699
MCP-3/CCL7 / +10 pg/ml 0.935 [0.809–1.08] 0.3612 0.898 [0.738–1.094] 0.2856
MCP-4/CCL13 / +100 pg/ml 1.122 [0.579–2.175] 0.7337 0.712 [0.277–1.832] 0.4808
MDC/CCL22 / +100 pg/ml 1.013 [0.914–1.122] 0.8056 0.869 [0.749–1.008] 0.0633
MIF / +1000 pg/ml 0.942 [0.87–1.02] 0.141 1.329 [0.872–2.026] 0.1853
MIG/CXCL9 / +100 pg/ml 1.077 [0.962–1.206] 0.1965 0.956 [0.85–1.075] 0.4536
MIP-1a/CCL3 / +10 pg/ml 0.93 [0.778–1.111] 0.4215 0.601 [0.323–1.12] 0.1088
MIP-1d/CCL15 / +1,000 pg/ml 1.05 [0.985–1.119] 0.1313 0.963 [0.904–1.026] 0.24
MIP-3a/CCL20 / +10 pg/ml 0.977 [0.622–1.533] 0.9179 0.664 [0.355–1.244] 0.2013
RA: MIP-3b/CCL19 Classe 0 SLE: MIP-3b/CCL19 / +100 pg/ml  2.571 [0.361–18.325] 0.3459 0.928 [0.753–1.144] 0.4858
RA: MIP-3b/CCL19 Classes 1, 2, 3 0.429 [0.106–1.736] 0.2352
RA: MIP-3b/CCL19 Classe 4 3.142 [0.45–21.952] 0.2483
MPIF-1/CCL23 / +100 pg/ml 1.051 [0.82–1.348] 0.6944 0.887 [0.638–1.234] 0.4762
SCYB16/CXCL16 / +100 pg/ml 1.066 [0.848–1.341] 0.5843 0.934 [0.697–1.252] 0.6477
SDF-1a+b/CXCL12 / +1,000 pg/ml 0.954 [0.562–1.621] 0.8631 0.651 [0.345–1.23] 0.1864
RA: TARC/CCL17 Tertile 1 SLE: TARC/CCL17 / +100 pg/ml  0.706 [0.2–2.487] 0.5878 0.913 [0.678–1.23] 0.5507
RA: TARC/CCL17 Tertile 2 0.227 [0.065–0.793] 0.0202
TECK/CCL25 / +100 pg/ml 1.002 [0.755–1.331] 0.9866 0.824 [0.566–1.2] 0.3125
TNFa / +10 pg/ml 0.798 [0.506–1.258] 0.3316 0.479 [0.247–0.928] 0.0292

Odds Ratios (OR), and their 95% confidence intervals (CI), for the likelihood of pSS diagnosis versus RA or SLE, in separate logistic regressions for each biomarker, are represented. ORs comparing pSS versus SLE were age-adjusted. For biomarkers specified as categorical variables in the models, the reference level was the highest class.