Raman spectroscopy as a diagnostic tool for monitoring acute nephritis

Jingting Li, Yong Du, Ji Qi, Ravikumar Sneha, Anthony Chang, Chandra Mohan, Wei Chuan Shih

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)260-269
Number of pages10
JournalJournal of Biophotonics
Volume9
Issue number3
DOIs
StatePublished - Mar 1 2016

Keywords

  • Acute nephritis
  • Anti-glomerular basement membrane nephritis
  • Linear discriminant analysis
  • Optical diagnosis
  • Principal component analysis
  • Raman spectroscopy

ASJC Scopus subject areas

  • Materials Science(all)
  • Engineering(all)
  • Physics and Astronomy(all)
  • Chemistry(all)
  • Biochemistry, Genetics and Molecular Biology(all)

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