[MALDI mass spectrometry of the meniscus. Objectification of morphological findings]

Z Rheumatol. 2015 Jun;74(5):438-46. doi: 10.1007/s00393-014-1468-y.
[Article in German]

Abstract

Background: The classification of meniscal lesions requires correlation with clinical data. For the standardization of histopathology reports a discrimination between normal, low-grade lesions and high-grade lesions is feasible. This classification can be further specified using other methods.

Material and methods: Formalin-fixed, paraffin-embedded specimens of meniscal tissue from 68 patients were analyzed by matrix-assisted laser desorption ionization (MALDI) imaging.

Results: The classification of meniscal lesions and differentiation between low-grade and high-grade and acute versus non-acute degeneration is possible by determination of the differential expression of mass-to-charge ratios by statistical comparisons using the P-value from combined Wilcoxon and Kruskal-Wallis (PWKW) tests and a predefined average two-fold difference in intensity.

Conclusion: The concept of a "meniscus report" is introduced for documentation of meniscus tissue specimens integrating histological, histochemical and proteomic data, thereby specifying the degree of degeneration and the assessment of acute or non-acute lesions. Mass spectrometry contributes to an objective histopathology report. An advisory opinion should always be based on close correlation of clinical and morphological evaluations.

Publication types

  • English Abstract

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Algorithms*
  • Biomarkers / analysis
  • Diagnosis, Computer-Assisted / methods*
  • Female
  • Fractures, Cartilage / diagnosis*
  • Humans
  • Male
  • Menisci, Tibial / chemistry*
  • Menisci, Tibial / pathology
  • Middle Aged
  • Pattern Recognition, Automated / methods
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / methods*
  • Support Vector Machine
  • Young Adult

Substances

  • Biomarkers