A pilot study on fingerprinting Leishmania species from the Old World using Fourier transform infrared spectroscopy

Andrea Hornemann, Denise Sinning, Sofia Cortes, Lenea Campino, Peggy Emmer, Katrin Kuhls, Gerhard Ulm, Marcus Frohme, Burkhard Beckhoff

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Leishmania species are protozoan parasites and the causative agents of leishmaniasis, a vector borne disease that imposes a large health burden on individuals living mainly in tropical and subtropical regions. Different Leishmania species are responsible for the distinct clinical patterns, such as cutaneous, mucocutaneous, and visceral leishmaniasis, with the latter being potentially fatal if left untreated. For this reason, it is important to perform correct species identification and differentiation. Fourier transform infrared spectroscopy (FTIR) is an analytical spectroscopic technique increasingly being used as a potential tool for identification of microorganisms for diagnostic purposes. By employing mid-infrared (MIR) spectral data, it is not only possible to assess the chemical structures but also to achieve differentiation supported by multivariate statistic analysis. This work comprises a pilot study on differentiation of Leishmania species of the Old World (L. major, L. tropica, L. infantum, and L. donovani) as well as hybrids of distinct species by using vibrational spectroscopic fingerprints. Films of intact Leishmania parasites and their deoxyribonucleic acid (DNA) were characterized comparatively with respect to their biochemical nature and MIR spectral patterns. The strains’ hyperspectral datasets were multivariately examined by means of variance-based principal components analysis (PCA) and distance-based hierarchical cluster analysis (HCA). With the implementation of MIR spectral datasets we show that a phenotypic differentiation of Leishmania at species and intra-species level is feasible. Thus, FTIR spectroscopy can be further exploited for building up spectral databases of Leishmania parasites in view of high-throughput analysis of clinical specimens.

Original languageEnglish
Pages (from-to)6907-6923
Number of pages17
JournalAnalytical and Bioanalytical Chemistry
Volume409
Issue number29
DOIs
Publication statusPublished - 1 Nov 2017

Keywords

  • DNA
  • Fourier transform infrared spectroscopy
  • Hierarchical cluster analysis (HCA)
  • Leishmania
  • Multivariate differentiation
  • Principal components analysis (PCA)

UN Sustainable Development Goals (SDGs)

  • SDG 3 - Good Health and Well-Being

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