Urinary markers differentially associate with kidney inflammatory activity and chronicity measures in patients with lupus nephritis.

OBJECTIVE: Lupus nephritis (LN) is diagnosed by biopsy, but longitudinal monitoring assessment methods are needed. Here, in this preliminary and hypothesis-generating study, we evaluate the potential for using urine proteomics as a non-invasive method to monitor disease activity and damage. Urinary biomarkers were identified and used to develop two novel algorithms that were used to predict LN activity and chronicity. METHODS: Baseline urine samples were collected for four cohorts (healthy donors (HDs, n=18), LN (n=42), SLE (n=17) or non-LN kidney disease biopsy control (n=9)), and over 1 year for patients with LN (n=42). Baseline kidney biopsies were available for the LN (n=46) and biopsy control groups (n=9). High-throughput proteomics platforms were used to identify urinary analytes ≥1.5 SD from HD means, which were subjected to stepwise, univariate and multivariate logistic regression modelling to develop predictive algorithms for National Institutes of Health Activity Index (NIH-AI)/National Institutes of Health Chronicity Index (NIH-CI) scores. Kidney biopsies were analysed for macrophage and neutrophil markers using immunohistochemistry (IHC). RESULTS: In total, 112 urine analytes were identified from LN, SLE and biopsy control patients as both quantifiable and overexpressed compared with HDs. Regression analysis identified proteins associated with the NIH-AI (n=30) and NIH-CI (n=26), with four analytes common to both groups, demonstrating a difference in the mechanisms associated with NIH-AI and NIH-CI. Pathway analysis of the NIH-AI and NIH-CI analytes identified granulocyte-associated and macrophage-associated pathways, and the presence of these cells was confirmed by IHC in kidney biopsies. Four markers each for the NIH-AI and NIH-CI were identified and used in the predictive algorithms. The NIH-AI algorithm sensitivity and specificity were both 93% with a false-positive rate (FPR) of 7%. The NIH-CI algorithm sensitivity was 88%, specificity 96% and FPR 4%. The accuracy for both models was 93%. CONCLUSIONS: Longitudinal predictions suggested that patients with baseline NIH-AI scores of ≥8 were most sensitive to improvement over 6-12 months. Viable approaches such as this may enable the use of urine samples to monitor LN over time.

Collagen Type III and VI Remodeling Biomarkers Are Associated with Kidney Fibrosis in Lupus Nephritis.

Background: Lupus nephritis (LN) occurs in <40% of patients with SLE. Reliable biomarkers of kidney damage are needed to identify patients with SLE at risk of developing LN to improve screening, treat the disease earlier, and halt progression to kidney failure. Novel biomarkers of extracellular matrix remodeling were evaluated as markers of kidney fibrosis and disease activity in patients with LN. Methods: Biomarkers of the interstitial collagen type III (PRO-C3) and type VI (PRO-C6) formation and of collagen type III (C3M) degradation were evaluated in the serum and urine of 40 patients with LN, 20 patients with SLE but without LN, 20 healthy controls, and ten biopsy controls (histologic kidney inflammation/damage without SLE). Their association with histologic markers of interstitial fibrosis and tubular atrophy, with inflammatory cell infiltration and with disease activity and chronicity in the patients with LN was assessed. Results: Despite PRO-C3 (serum) and PRO-C6 (serum and urine) being significantly elevated in patients with LN compared with healthy controls, the markers did not differentiate patients with LN from those with SLE. C3M (urine) levels were not different in LN compared with the other groups. C3M (urine) strongly correlated and PRO-C6 (serum and urine) inversely correlated with kidney function (eGFR). The biomarkers of interstitial collagen turnover PRO-C6 (serum) and C3M (urine) correlated with histologic markers of interstitial fibrosis, tubular atrophy, and monocyte infiltration. Conclusions: Noninvasive collagen turnover biomarkers are promising tools to identify patients with SLE with kidney histologic modifications.

Endocannabinoid receptor CB2R is significantly expressed in aspirin-exacerbated respiratory disease: a pilot study.

BACKGROUND: The endocannabinoid system represents a highly conserved, innate signaling network with direct and indirect control of eicosanoid-mediated inflammation. Activation of the type 2 cannabinoid receptor (CB2R) leads to decreased type 2 inflammation and reduced production of arachidonic acid (AA). Given that altered AA metabolism is associated with aspirin-exacerbated respiratory disease (AERD), we hypothesized that expression of the CB2R gene CNR2 is increased in AERD. METHODS: Nasal polyps from consecutive patients undergoing endoscopic sinus surgery for AERD or allergic fungal rhinosinusitis (AFRS) were prospectively evaluated. Control sphenoid mucosa was collected from patients undergoing endoscopic skull base procedures. Expression and localization of endocannabinoid receptors were evaluated by quantitative reverse transcript-polymerase chain reaction (qRT-PCR) and immunohistochemistry. A 2-group unpaired t test with unequal variances was used to evaluate group differences. RESULTS: Thirteen subjects were included in this pilot study, including 5 controls, 5 AFRS patients, and 3 AERD patients. Upregulated expression of CNR2 was detected in subjects with AERD vs both AFRS (p = 0.049) and controls (p = 0.047), with a mean increase of 5.2-fold. No significant differences in expression of the CB1R gene CNR1 were detected between control and AFRS groups. Immunohistochemistry predominantly localized CB1R and CB2R expression to the surface epithelium in all subjects. CONCLUSION: The endocannabinoid system is an emerging immunomodulatory network that may be involved in AERD. This is the first study of CB2R in sinonasal disease, showing significantly increased transcription in nasal polyps from subjects with AERD. Additional study is warranted to further evaluate the contribution and therapeutic potential of this novel finding in chronic rhinosinusitis.

Obesity induced a leptin-Notch signaling axis in breast cancer.

To investigate whether obesity induces a leptin-Notch signaling axis in breast cancer (BC), leptin-induced Notch was determined in human MCF-7 and MDA-MB231 and mouse E0771 cells and in E0771-BC hosted by syngeneic lean and diet-induced obesity (DIO) C57BL/6J female mice. Lean and DIO mice were treated for 3 weeks with leptin inhibitor (PEG-LPrA2) 1 week after the inoculation of E0771 cells. Leptin induced Notch1, 3 and 4 in BC cells, but Notch2 expression showed opposite pattern in MCF-7 compared to MDA-MB231 cells. Notch loss-of-function (DAPT and dominant negative [R218H] RBP-Jk [CSL/CBF1]) showed that a functional leptin-Notch signaling axis was involved in the proliferation and migration of E0771 cells. E0771-BC onset was affected by obesity (lean mice7/10 [70%] vs. DIO mice: 11/12 [92%]; Pearson χ(2) : p = 0.06]). PEG-LPrA2 significantly reduced BC growth (untreated: 19/42; [45%] vs. treated: 8/42 [19%]; Pearson χ(2) : p = 0.008). PEG-LPrA2 did not influence the caloric intake of mice but increased carcass and/or body weights of lean and DIO mice inoculated with E0771 cells, which could be related to the improvement of health conditions (less aggressive disease). Importantly, BC from obese mice had higher levels of Notch3, JAG1 and survivin than lean mice. Inhibition of leptin signaling reduced protein levels of Notch (NICD1, NICD4, Notch3, JAG1 and survivin) and significantly decreased mRNA expression of Notch receptors, ligands and targets. PEG-LPrA's effects were more prominent in DIO mice. Present data suggest that leptin induces Notch, which could be involved in the reported higher incidence and aggressiveness and, poor prognosis of BC in obese patients.