Differentiation of Leishmania species by FT-IR spectroscopy

Aguiar, Josafá Carvalho; Mittmann, Josane; Ferreira, Isabelle; Ferreira‐Strixino, Juliana; Raniero, Leandro

doi:10.1016/j.saa.2015.01.008

Cited by 14 publications

(19 citation statements)

References 43 publications

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“…IR datasets display a high similarity among all parasitic strains. Previous investigations on three very similar IR datasets of L. amazonensis , L. chagasi (or L. infantum ), and L. major parasitic strains [ 32 ] have shown spectral differences between these species allowing species discrimination/typing in the regions of polysaccharides, fatty acids (phospholipids), nucleic acids, and proteins (amides). Indeed, modes from molecular constituents such as polysaccharides, nucleic acids, amino acids, lipids, and proteins can be detected for the Leishmania sample film datasets.…”

Section: Resultsmentioning

confidence: 99%

“…So far, there is only a single published FTIR-based approach (Aguiar et al) that addresses, in combination with multivariate statistic tools, the discriminatory power and classification capability of this method tested for three Leishmania strains representing three species, namely L. amazonensis , L. chagasi (synonym of L. infantum ), and L. major , but only by implementing HCA [ 32 ].…”

Section: Resultsmentioning

confidence: 99%

“…The data acquisition in the MIR window reflects the overall composition that often differs with respect to their molecular make-up, thus providing unique fingerprint signatures for differentiation. An initial approach to infrared (IR) data-based differentiation of parasite sample films of three Leishmania species has been conducted successfully by Aguiar et al [ 32 ]. Further, studies on malaria parasites have been reported [ 33 ].…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2017

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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. Graphical abstractFor Leishmania species discrimination, sample films of intact parasites and their extracted DNA were analyzed by FTIR micro-spectroscopy. Hyperspectral datasets that comprise mid-infrared fingerprints were submitted to multivariate analysis tools such as principal components analysis (PCA) and hierarchical cluster analysis (HCA). Electronic supplementary materialThe online version of this article (10.1007/s00216-017-0655-5) contains supplementary material, which is available to authorized users.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2017

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“…Cluster analysis easily classifies data into groups which helps to show similarities and is widely used for rapid differentiation and classification of spectral data of microorganisms [3].…”

Section: Multivariate Statistical Analysismentioning

confidence: 99%

“…Fourier-transform infrared (FTIR) spectroscopy has been known to be a very promising method to characterize biological samples by their chemical composition and provides qualitative and quantitative estimates of lipids, polysaccharides, nucleic acids, proteins [2,3]. FTIR spectrum is considered as a global "molecular fingerprint" which can be used for characterization, differentiation and identification of microorganisms [1] and has been widely applied for identification of bacteria [3][4][5], yeast, filamentous fungi [6,7] and also some mushrooms [8][9][10]. Various fungal genera have been identified by using dry spores, fruit bodies or cultural biomass as source material for FTIR.…”

Section: Introductionmentioning

confidence: 99%

Potential of FTIR spectroscopy in chemical characterization of Termitomyces Pellets

2017

J App Biol Biotech

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Potential of Fourier-Transform Infrared (FTIR) spectroscopy was assessed and Hierarchical Cluster Analysis (HCA) was applied over entire range of spectra for determining characteristic chemical compositional similarity of 11 different Termitomyces Heim strains using 20 days old pelletized dry biomass produced under submerged shaken condition at 28±1 o C. Four dominant spectral windows showing C-H, O-H stretching region, amide I, amide II and polysaccharide regions were identified displaying characteristic variable bands across species at 3400-3200 cm -1 , 2900-2850 cm -1 , 2350-2215 cm -1 , 1750 cm -1 , 1658-1625 cm -1 , 1582-1547 cm -1 , 1375-1315 cm -1 and 900-725 cm -1 . The HCA dendrogram showed formation of two major clusters based on their presumptive chemical similarity.

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New Strategy to Hyperspectral Image Segmentation Using Principal Components Analysis

Augusto,

Bachman,

Moraes

et al. 2024

IFMBE Proceedings

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Differentiation of Leishmania species by FT-IR spectroscopy

Cited by 14 publications

References 43 publications

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

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

Potential of FTIR spectroscopy in chemical characterization of Termitomyces Pellets

New Strategy to Hyperspectral Image Segmentation Using Principal Components Analysis

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