WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/10013227,
	  title     = {Study on the Presence of Protozoal Coinfections among Patients with Pneumocystis jirovecii Pneumonia in Bulgaria},
	  author    = {N. Tsvetkova and  R. Harizanov A. Ivanova and  I. Rainova and  N. Yancheva-Petrova and  D. Strashimirov and  R. Enikova and  M. Videnova and  E. Kaneva and  I. Kaftandjiev and  V. Levterova and  I. Simeonovski and  N. Yanev and  G. Hinkov},
	  country	= {},
	  institution	= {},
	  abstract     = {The Pneumocystis jirovecii (P. jirovecii) and protozoan of the genera Acanthamoeba, Cryptosporidium, and Toxoplasma gondii are opportunistic pathogens that can cause life-threatening infections in immunocompromised patients. Aim of the study was to evaluate the coinfection rate with opportunistic protozoal agents among Bulgarian patients diagnosed with P. jirovecii pneumonia. 38 pulmonary samples were collected from 38 patients (28 HIV-infected) with P. jirovecii infection. P. jirovecii DNA was detected by real-time PCR targeting the large mitochondrial subunit ribosomal RNA gene. Acanthamoeba was determined by genus-specific conventional PCR assay. Real-time PCR for the detection of a Toxoplasma gondii and Cryptosporidium DNA fragment was used. Pneumocystis DNA was detected in all 38 specimens; 28 (73.7%) were from HIV-infected patients. Three (10,7%) of them were coinfected with T. gondii and 1 (3.6%) with Cryptosporidium. In the group of non-HIV-infected (n = 10), Cryptosporidium DNA was detected in an infant (10%). Acanthamoeba DNA was not found in the tested samples. The current study showed a relatively low rate of coinfections of Cryptosporidium spp./T. gondii and P. jirovecii in the Bulgarian patients studied.},
	    journal   = {International Journal of Medical and Health Sciences},
	  volume    = {17},
	  number    = {8},
	  year      = {2023},
	  pages     = {179 - 183},
	  ee        = {https://publications.waset.org/pdf/10013227},
	  url   	= {https://publications.waset.org/vol/200},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 200, 2023},
	}