Serum and urine interferon-inducible protein 10, galectin-9, and SIGLEC-1 as biomarkers of disease activity in systemic lupus erythematosus.

Background/aim: In this prospective study, we aimed to investigate the association of serum (s) and urine (u) IP-10, galectin-9, and SIGLEC-1 with disease activity in patients with systemic lupus erythematosus (SLE). Materials and methods: Sixty-three patients with active SLE (31 renal, 32 extrarenal) were included. Thirty patients with inactive SLE (15 renal, 15 extrarenal), 17 with renal active AAV, and 32 healthy volunteers were selected as control groups. Serum and urine IP-10, galectin-9, and SIGLEC-1 were tested using ELISA. Results: Levels of sIP-10 (p = 0.046), uIP-10 (p < 0.001), sGalectin-9 (p = 0.03), and uSIGLEC-1 (p = 0.006) were significantly higher in active SLE group compared to the inactive SLE; however, no differences were detected in the comparison of uGalectin-9 (p = 0.18) and sSIGLEC-1 (p = 0.69) between two groups. None of the biomarkers discriminated patients with active renal SLE from active extrarenal SLE. ROC analyses revealed an AUC of 0.63 (0.52-0.73) for sIP-10, 0.78 (0.68-0.86) for uIP-10, 0.64 (0.53-0.74) for sGalectin-9, and 0.68 (0.57-0.77) for uSIGLEC-1 in discriminating disease activity in SLE, which did not outperform C3 (0.75, 0.64-0.84) and C4 (0.72, 0.61-0.82). sIP-10 (p = 0.001), uIP-10 (p = 0.042), and uGalectin-9 (p = 0.009) were significantly increased in patients with active renal SLE compared to active renal AAV. sGalectin-9 (p < 0.001) and sIP-10 levels (p = 0.06) were decreased after 8 (5-22.5) months of treatment. Conclusion: sIP-10, uIP-10, sGalectin-9, and uSIGLEC-1 reflect global disease activity in SLE but do not outperform C3 and C4. sIP-10 and uIP-10 may be specific for active SLE compared to active AAV. sIP-10 and sGalectin-9 might be valuable in monitoring response after treatment.

Serum and urinary galectin-9 and C-X-C motif chemokine ligand 10.

BACKGROUND: Systemic lupus erythematosus (SLE) is characterized by a type I interferon (IFN) signature, and traditional methods for its measurement like gene expression analysis are cumbersome for routine use. Thus, we aimed to study galectin-9 as a biomarker and compared it with a validated marker, C-X-C motifchemokine ligand 10(CXCL-10). METHODS: Ninety-seven patients with SLE (26 years; 89 females) were included and stratified based on renal involvement and activity into - active (SLEDAI > 4) renal (35), active non-renal (32) and inactive renal subgroups (30) along with 20 healthy controls (HC, 25 years; 15 females). The median disease duration was 24 months (6-48), and SLEDAI 2K was 9 (2-15). Serum and urine galectin-9 and CXCL-10 levels were measured by ELISA. Urine levels were normalized with spot urine creatinine values. Follow-up serum and urine galectin-9 levels were measured for those in the active renal group at 6 months. RESULTS: Patients with SLE had higher serum galectin-9 (5.6 vs 1.7 µg/mL, p = .0001) but not urine galectin-9 (0.52 vs 0.32 µg, p = .7) levels as compared to HC. Serum galectin-9 but not urine galectin-9 was higher in patients with active as compared to inactive lupus (12.9 - active renal, 16.7 - active non-renal vs 3.57 µg/mL, p = .04 and .005). Serum CXCL-10 (0.16 vs 0.05, p = .01) and urine CXCL-10 (0 vs 0, p = .01) were both significantly higher in the SLE group as compared with HC. Serum but not urine CXCL-10 was higher in the active as compared to inactive lupus (0.2 - active renal, 0.3 - active non-renal vs 0.08 µg/mL, p = .9 and .02). Serum galectin-9 showed a modest correlation with CXCL-10 0.4 (0.2-0.6), whereas none was found between their urine levels.Serum galectin-9 and CXCL-10 showed a moderate positive correlation with SLEDAI 2K. Serum galectin-9 showed a greater AUC than CXCL-10 (0.77 vs 0.67) in differentiating active from inactive SLE, and both tested together had the best AUC of 0.82. However, urinary levels had no association with SLEDAI 2K or renal SLEDAI. In a subset of patients with active renal disease, serum galectin-9 but not urine levels declined significantly after 6 months. CONCLUSION: Serum galectin-9 is a good marker of lupus activity; however, it does not differentiate between active renal and active non-renal disease. It performs slightly better than CXCL-10. Urinary galectin-9 does not reflect renal activity.

Plasma PP13 and urinary GAGs/PGs as early markers of pre-eclampsia.

PURPOSE: To evaluate at 11-13 weeks' gestation biochemical markers that may predict complications of pregnancy such as pre-eclampsia, proteinuria, and hypertension. METHODS: Analyses were performed on first-morning urine and plasma samples from first trimester pregnant women with increased risk of developing pre-eclampsia such as positive personal or family history of cardiovascular disease and diabetes mellitus. A total of 62 women were enrolled, 24 of them presented complications such as pre-eclampsia, proteinuria, and hypertension during pregnancy. The remaining 38 women had a physiological course of pregnancy and formed the reference group. Urine glycosaminoglycans/proteoglycans (GAGs/PGs) distribution was determined by electrophoresis on cellulose acetate strips. Urinary N-acetyl-ß-glucosaminidase was estimated kinetically. Plasma levels of placental protein 13 (PP13) were measured by enzyme-linked immunosorbent assay. RESULTS: No significant differences in total GAG excretion and N-acetyl-ß-glucosaminidase (NAG) concentration were observed between the two groups of pregnant women, whereas we detected increased relative content of total urinary trypsin inhibitor (UTI plus low-sulfated chondroitin sulfate) (p = 0.001) and reduced excretion of heparan sulfate (p = 0.007) and chondroitin sulfate (p = 0.011) in women presenting with pregnancy complications respect to controls. Plasma levels of PP13 were significantly reduced in the group of women who went on to develop complications compared with controls (p = 0.022). CONCLUSIONS: The reduced plasma levels of PP13 and the alteration of the relative content of urinary GAGs and PGs observed in our study could be a promising tool for the prediction of pre-eclampsia in an early stage of pregnancy.

Novel potential interacting partners of fibronectin in spontaneous animal model of interstitial cystitis.

Feline idiopathic cystitis (FIC) is the only spontaneous animal model for human interstitial cystitis (IC), as both possess a distinctive chronical and relapsing character. Underlying pathomechanisms of both diseases are not clearly established yet. We recently detected increased urine fibronectin levels in FIC cases. The purpose of this study was to gain further insight into the pathogenesis by assessing interacting partners of fibronectin in urine of FIC affected cats. Several candidate proteins were identified via immunoprecipitation and mass spectrometry. Considerable changes in FIC conditions compared to physiological expression of co-purified proteins were detected by Western blot and immunohistochemistry. Compared to controls, complement C4a and thioredoxin were present in higher levels in urine of FIC patients whereas loss of signal intensity was detected in FIC affected tissue. Galectin-7 was exclusively detected in urine of FIC cats, pointing to an important role of this molecule in FIC pathogenesis. Moderate physiological signal intensity of galectin-7 in transitional epithelium shifted to distinct expression in transitional epithelium under pathophysiological conditions. I-FABP expression was reduced in urine and urinary bladder tissue of FIC cats. Additionally, transduction molecules of thioredoxin, NF-κB p65 and p38 MAPK, were examined. In FIC affected tissue, colocalization of thioredoxin and NF-κB p65 could be demonstrated compared to absent coexpression of thioredoxin and p38 MAPK. These considerable changes in expression level and pattern point to an important role for co-purified proteins of fibronectin and thioredoxin-regulated signal transduction pathways in FIC pathogenesis. These results could provide a promising starting point for novel therapeutic approaches in the future.