Publications

OBJECTIVE

There is a need to identify clinical characteristics and/or biomarkers that can predict treatment outcome in lupus nephritis. To this end, we utilized data from the Aspreva Lupus Management Study to identify possible baseline and early predictors of renal response to mycophenolate mofetil (MMF) or intravenous (IV) cyclophosphamide (CYC).

METHODS

Patients with class III-V lupus nephritis were randomized to MMF or IV CYC. We assessed predictors of renal response, including baseline demographic, clinical, laboratory, and histologic characteristics, as well as early clinical and laboratory data, obtained within the first 2 months of therapy. Odds ratios (ORs) and 95% confidence intervals for renal response were calculated for each putative predictor.

RESULTS

Normalization of C3, C4, or both by week 8 was strongly predictive of renal response at week 24 (ORs 2.5, 2.6, and 2.9, respectively; P < 0.05). Reduction in proteinuria by ≥25% by week 8 was predictive of renal response at week 24 (OR 3.2, P < 0.05). Reduction in anti-double-stranded DNA (anti-dsDNA) by week 8 was not predictive of renal response. Only 3 baseline characteristics (C4 level, time since diagnosis of lupus nephritis, and estimated glomerular filtration rate [GFR]) were predictive of renal response; the remaining characteristics (age, age at lupus nephritis onset, time since diagnosis of systemic lupus erythematosus, sex, histopathologic class, anti-dsDNA antibody level, C3 level, level of proteinuria, and use of angiotensin-converting enzyme inhibitors, statins, or hydroxychloroquine) were not.

CONCLUSION

This study demonstrates that baseline C4 level, time since diagnosis of lupus nephritis, baseline estimated GFR, early normalization of complement, and reduction in proteinuria independently predict renal response to therapy at 6 months.

A comprehensive understanding of evidence related to treatments for a disease is critical for planning effective clinical care, and for designing future trials. However, it is often difficult to comprehend the available evidence because of the complex combination of interventions across trials, in addition to the limited search and retrieval tools available in databases such as ClinicalTrials.gov. Here we demonstrate the use of networks to visualize and quantitatively analyze the co-occurrence of drug interventions across trials on depression in ClinicalTrials.gov. The analysis identified general co-occurrence patterns of interventions across all depression trials, and specific co-occurrence patterns related to antidepressants and natural supplements. These results led to insights about the current state of depression trials, and to a graph-theoretic measure to categorize interventions for a disease. We conclude by discussing the opportunities and challenges of generalizing our approach to analyze comparative interventional studies for any disease.

Application of the widely used immunosuppressant (ISS) cyclosporine (CsA) is severely limited by a number of serious side-effects such as kidney and neurotoxicity. As we have shown before, CsA exhibits metabolic toxicity in brain-models. The macrolide ISSs sirolimus (SRL) and everolimus (RAD) are capable of modulating these CsA-induced effects. It was our aim to study the age-dependent metabolic changes in the rat brain after ISS-treatment and the possible role of the blood-brain-barrier in modulation of CsA metabolic toxicity. Young and adult rats were treated orally with one ISS alone or in combination with CsA for six days. Metabolic changes were assessed by nuclear magnetic resonance (NMR) spectroscopy of brain extracts as toxicodynamic endpoints. Brain P-glycoprotein (P-gp) and ISS concentrations were determined as pharmacokinetic endpoints. Young rats were more susceptible to CsA-induced inhibition of the Krebs cycle (glutamate: 78% of controls, glutamine: 82%, GABA: 71% in young vs. 85%, 89%, 92% in adult rats). Increased glycolysis after CsA-treatment was sufficient to maintain the energy state at control levels in adult brains, but not in the young rat brains (phosphocreatine: 35%). Tissue concentrations of CsA and SRL within the brain of young rats were three-fold higher, while concentrations of P-gp were three-fold higher in adult rat brains. Our results suggest that age-dependent differences in the blood-brain barrier led to increased ISS brain concentrations and hence inhibition of brain energy metabolism.

We have investigated whether rat Ly49 receptors can monitor Listeria-infected intestinal epithelial cells through altered expression of MHC class I molecules. The rat colon carcinoma epithelial cell line CC531 infected with Listeria expressed higher levels of both classical and nonclassical MHC-I molecules. Reporter cells expressing the activating Ly49s5 receptor displayed increased stimulatory responses when incubated with Listeria-infected CC531 cells in vitro, which could be blocked with mAb 8G10 specific for nonclassical MHC-I molecules of the RT1(u) haplotype, but not with mAb OX18 reacting with classical MHC-I molecules in this haplotype. Similar responses were observed against IFN-γ-treated cells that also upregulated their expression of MHC-I molecules. Thus, the Ly49s5 receptor can respond to increased levels of nonclassical MHC-I molecules induced on target cells by either bacterial infection or cytokine stimulation. We furthermore found that splenic NK and NKT cells produced IFN-γ in response to Listeria-infected CC531 cells, and that this was not limited to Ly49-expressing cells, since similar levels of IFN-γ production were observed in Ly49(+) and Ly49(-) NK cell subsets. Therefore, NK cells may recognize Listeria-infected cells through both MHC-I-dependent and -independent innate immune receptor systems.