1. Department of Electrical and Computer Engineering, USA;2. Department of Biomedical Engineering, USA;3. Department of Pathology, The University of Chicago, USA;4. Department of Chemistry, University of Houston, Calhoun, TX, USA
Abstract:
Both acute nephritis and chronic nephritis account for substantial morbidity and mortality worldwide, partly due to the lack of reliable tools for detecting disease early and monitoring its progression non‐invasively. In this work, Raman spectroscopy coupled with multivariate analysis are employed for the first time to study the accelerated progression of nephritis in anti‐GBM mouse model. Preliminary results show up to 98% discriminant accuracy for the severe and midly diseased and the healthy among two strains of mice with different susceptibility to acute glomerulonephritis. This technique has the potential for non‐invasive or minimally‐invasive early diagnosis, prognosis, and monitoring of renal disease progression.
