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1.
Parasit Vectors ; 16(1): 20, 2023 Jan 19.
Article in English | MEDLINE | ID: mdl-36658630

ABSTRACT

BACKGROUND: Schistosomiasis is a major neglected tropical disease that affects up to 250 million individuals worldwide. The diagnosis of human schistosomiasis is mainly based on the microscopic detection of the parasite's eggs in the feces (i.e., for Schistosoma mansoni or Schistosoma japonicum) or urine (i.e., for Schistosoma haematobium) samples. However, these techniques have limited sensitivity, and microscopic expertise is waning outside endemic areas. Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) has become the gold standard diagnostic method for the identification of bacteria and fungi in many microbiological laboratories. Preliminary studies have recently shown promising results for parasite identification using this method. The aims of this study were to develop and validate a species-specific database for adult Schistosoma identification, and to evaluate the effects of different storage solutions (ethanol and RNAlater) on spectra profiles. METHODS: Adult worms (males and females) of S. mansoni and S. japonicum were obtained from experimentally infected mice. Species identification was carried out morphologically and by cytochrome oxidase 1 gene sequencing. Reference protein spectra for the creation of an in-house MALDI-TOF MS database were generated, and the database evaluated using new samples. We employed unsupervised (principal component analysis) and supervised (support vector machine, k-nearest neighbor, Random Forest, and partial least squares discriminant analysis) machine learning algorithms for the identification and differentiation of the Schistosoma species. RESULTS: All the spectra were correctly identified by internal validation. For external validation, 58 new Schistosoma samples were analyzed, of which 100% (58/58) were correctly identified to genus level (log score values ≥ 1.7) and 81% (47/58) were reliably identified to species level (log score values ≥ 2). The spectra profiles showed some differences depending on the storage solution used. All the machine learning algorithms classified the samples correctly. CONCLUSIONS: MALDI-TOF MS can reliably distinguish adult S. mansoni from S. japonicum.


Subject(s)
Fungi , Schistosoma japonicum , Female , Adult , Humans , Animals , Mice , Fungi/chemistry , Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization/methods , Bacteria , Lasers
2.
Biomed Res Int ; 2019: 8319465, 2019.
Article in English | MEDLINE | ID: mdl-31019973

ABSTRACT

The pathogens Schistosoma mansoni and Paracoccidioides brasiliensis share common geographic areas, determining infectious diseases with high mortality rates worldwide. Histopathological and immunological changes induced by each pathogen are well understood; however, the host responses to S. mansoni and P. brasiliensis coinfection are still unknown. Thus, we investigated liver damage and cytokines production in a murine model acutely and chronically coinfected with these pathogens. Fourty male Swiss mice were infected with S. mansoni and P. brasiliensis alone or coinfected. The animals were euthanized with 50 (acute infection) and 120 (chronic infection) days of infection. All infected animals exhibited liver inflammation. Intense granulomatous inflammation was detected in animals infected with S. mansoni alone and those coinfected. Productive and involutive granulomas were clearly observed in acute and chronic infections, respectively. Granuloma size was reduced in the acute phase and increased in the chronic phase of S. mansoni and P. brasiliensis coinfection, compared with animals infected only with S. mansoni. In the chronic phase of infection, the granulomatous inflammation in coinfected animals was characterized by intense neutrophils accumulation and reduced eosinophils number. IFN-γ, IL-2, IL-4, and IL-5 circulating levels were increased in all infected groups. Coinfected animals presented attenuated IFN-γ and IL-4 production in the acute and chronic infections. Taken together, our findings indicate that coinfected animals exhibited a differential modulation of granulomatous inflammation during the acute and chronic phases of infection, which was potentially associated with a divergent profile of cytokines production and migration of neutrophils and eosinophils in response to S. mansoni and P. brasiliensis antigenic stimulation.


Subject(s)
Coinfection , Granuloma , Liver Diseases , Liver , Paracoccidioides/immunology , Paracoccidioidomycosis , Schistosoma mansoni/immunology , Schistosomiasis mansoni , Animals , Coinfection/immunology , Coinfection/microbiology , Coinfection/parasitology , Coinfection/pathology , Disease Models, Animal , Granuloma/immunology , Granuloma/microbiology , Granuloma/parasitology , Granuloma/pathology , Liver/immunology , Liver/microbiology , Liver/parasitology , Liver/pathology , Liver Diseases/immunology , Liver Diseases/microbiology , Liver Diseases/parasitology , Liver Diseases/pathology , Male , Mice , Paracoccidioidomycosis/immunology , Paracoccidioidomycosis/microbiology , Paracoccidioidomycosis/pathology , Paracoccidioidomycosis/physiopathology , Schistosomiasis mansoni/immunology , Schistosomiasis mansoni/microbiology , Schistosomiasis mansoni/pathology
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