Mathematical framework for human SLE Nephritis: disease dynamics and urine biomarkers

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dc.contributor.author Budu-Grajdeanu, Paula
dc.contributor.author Schugart, Richard C
dc.contributor.author Friedman, Avner
dc.contributor.author Birmingham, Dan J
dc.contributor.author Rovin, Brad H
dc.date.accessioned 2010-06-08T19:40:26Z
dc.date.available 2010-06-08T19:40:26Z
dc.date.issued 2010-05-17
dc.identifier.uri http://hdl.handle.net/2271/836
dc.description.abstract Abstract Background Although the prognosis for Lupus Nephritis (LN) has dramatically improved with aggressive immunosuppressive therapies, these drugs carry significant side effects. To improve the effectiveness of these drugs, biomarkers of renal flare cycle could be used to detect the onset, severity, and responsiveness of kidney relapses, and to modify therapy accordingly. However, LN is a complex disease and individual biomarkers have so far not been sufficient to accurately describe disease activity. It has been postulated that biomarkers would be more informative if integrated into a pathogenic-based model of LN. Results This work is a first attempt to integrate human LN biomarkers data into a model of kidney inflammation. Our approach is based on a system of differential equations that capture, in a simplified way, the complexity of interactions underlying disease activity. Using this model, we have been able to fit clinical urine biomarkers data from individual patients and estimate patient-specific parameters to reproduce disease dynamics, and to better understand disease mechanisms. Furthermore, our simulations suggest that the model can be used to evaluate therapeutic strategies for individual patients, or a group of patients that share similar data patterns. Conclusions We show that effective combination of clinical data and physiologically based mathematical modeling may provide a basis for more comprehensive modeling and improved clinical care for LN patients. en_US
dc.language.iso en_US en_US
dc.title Mathematical framework for human SLE Nephritis: disease dynamics and urine biomarkers en_US
dc.type Article en_US
dc.date.updated 2010-05-28T00:21:16Z
dc.description.version Peer Reviewed
dc.language.rfc3066 en
dc.rights.holder Budu-Grajdeanu et al.; licensee BioMed Central Ltd.

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