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Showing 3 results for Moazen

Moazeni M, Gaur S.n.s,
Volume 65, Issue 11 (1 2008)
Abstract

Background: Fasciolosis is a worldwide disease with major economic and public health consequences. Early detection of the infection is important for the prevention and control of the disease. ELISA allows for early detection of fasciolosis in man and animals. Fasciolosis is caused by Fasciola hepatica and F. gigantica in man and domestic animals respectively. These two species have many similar morphological characteristics. In this study, the crude antigens of these two species are investigated by ELISA test.

Methods: The excretory-secretory and somatic antigens of two species were prepared from adult flukes collected from the bile ducts of sheep and stored at -20oC. For the preparation of the antisera, the antigens were injected to laboratory-bred rabbits. Each rabbit received five injections at intervals of seven days, starting with 0.5 ml and ending with 2.5 ml. Ten days after the last injection, the rabbits were bled, and serum samples separated and stored at -20oC. The reaction between homologous and heterologous antigens and antisera was tested by ELISA and optical densities were recorded.

Results: Excretory- secretory and somatic antigens of each species showed a strong positive reaction with the antisera of the other species. In a homologous combination of antigens and antisera, a stronger reaction was observed compared to the heterologous combination, therefore many antigenic materials of both species are the same.

Conclusion: The differences of these crude antigenic materials of F. hepatica and F. gigantica are insufficient to prevent cross reaction of two species by ELISA. Further investigations are recommended for the identification, detection and purification of antigenic material of each species to improve the specificity of this assay.


Mirhendi Sh, Adin H, Shidfar Mr, Kordbacheh P, Hashemi Sj, Moazeni M, Hosseinpur L, Rezaie Matehkolaie A,
Volume 66, Issue 9 (5 2008)
Abstract

Background: The clinical importance of yeast infections has increased in recent decades. There are 10-15 pathogenic Candida species. The current morphological and physiological methods for identification of Candida species are generally not easy to interpret and may be expensive or time-consuming. In the present study, we introduce and use a new approach for the identification and differentiation of medically important yeast species of Candida. In this method, size polymorphism of the internal transcribed spacer regions, ITS1 and ITS2, of the ribosomal DNA in various Candida species is used as the basis of species recognition.

Methods: The genomic DNA of 31 standard strains and 60 clinical isolates was extracted and PCR-amplified using two primer pairs (ITS1-ITS2 and ITS3-ITS4) separately. Both PCR products were mixed and analyzed after standard agarose gel electrophoresis. The species of the tested yeasts were identified by the electrophoretic patterns of the mixed PCR products of each sample, comparing the data obtained from the sequence analyses of ITS1 and ITS2 molecules.

Results: By this method, with the exception of C. albicans and C. dubliniensis, we were able to clearly differentiate nearly all common pathogenic Candida species, including C. albicans, C. glabrata, C. gulliermondii, C. parapsilosis, C. tropicalis,      C. krusei, C. kefyr, C. lusinaniae and C. rugosa. All standard and clinical strains were identified correctly, without expensive methods such as sequencing and capillary electrophoresis.

Conclusion: It seems that the PCR-FSP method introduced in this study is the easiest molecular approach for the identification of a wide range of pathogenic Candida species and is applicable for diagnostic and epidemiological purposes in reference laboratories.


Behzad Jafarinia, Roya Rashti, Razieh Halvaei Zadeh , Javad Moazen, Hamid Kalantari ,
Volume 76, Issue 12 (March 2019)
Abstract

Background: Leishmaniasis is a zoonosis disease. About 350 million people are at risk of developing a disease, with 1.5 to 2 million new cases every year in the world. The aim of this study was to determine the space-time clusters of cutaneous leishmaniasis in north of Khuzestan Province, Iran.
Methods: In this cross-sectional study, the annual cutaneous leishmaniasis incidence per 100,000 individuals in each county was determined for the past five years. Reported from 2011 to 2015 in North of Khuzestan Province, Iran. Geographical information system (GIS) and spatial scan statistic method were used to identify spatial clusters of cutaneous leishmaniasis cases at the county level. Pure retrospective temporal analysis scanning was performed to detect the temporal clusters of cutaneous leishmaniasis cases with high rates using the discrete Poisson model. The space-time cluster was detected with high rates through the retrospective space-time analysis scanning using the discrete Poisson model.
Results: The overall cutaneous leishmaniasis incidence increased from 2011 to 2015. A total of 3 high-risk counties were determined through Local Moran’s I analysis from 2011 to 2015. Local Moran’s I enabled the detection of the spatial autocorrelation for a county with its adjacent county. The method of spatial scan statistics identified different 11 significant spatial clusters. The space-time clustering analysis determined that the most likely cluster included 11 counties, and the time frame was October 2014. The secondary cluster included one counties in October 2014. The tertiary cluster included six counties, and the time frame was from June 2014 to November 2015.
Conclusion: Spatial and temporal clusters of cutaneous leishmaniasis have increased in the northern region of Khuzestan Province, and most clusters have occurred in November.


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