An in silico, structural, and biological analysis of lactoferrin of different mammals.

Lactoferrin (LF) belongs to the family of transferrins having multifunctional roles associated with the immune system of animals. To follow the aims for this study was selected 20 sequences of LF from mammalian species to evaluate the chemical, biological, and structural properties. Bioinformatics approaches used programs such as MAFFT for sequence alignment; PartitionFinder and MrBayes for phylogenetic approaches; I-TASSER, PROCHECK, Molecular Operating Environment (MOE), SWISS Model server, Peptide DB and Expasy ProtParam to estimate the physicochemical properties, to model the protein and predicted secondary structures. A phylogenic analysis shows species with genetic similarities clustered by complexity and unique grouping between Capra hircus, Macaca mulatta, and Myotis lucifugus, since they presented more amino acids but not overall changes in the iron-binding sites or biological aspects. Structural deviations in these clusters obtained in LF from those species were found in residues 46 (position 406-450), that is part of alpha-helix, and 37 (position 295-331), that is part of the beta-sheets. Our predicted model can be used to investigate more about structural aspects of LF and be applied for medicinal research.

Frequency of bovine cysticercosis in the state of Rondônia, Brazil.

Bovine cysticercosis remains as one of the most important cause of carcasses and viscera condemnation in Brazilian slaughterhouses. However, the efficiency of post-mortem inspection for the diagnosis of this zoonotic disease is relatively low, and few available studies were performed through serological exams. This study evaluated the frequency of bovine cysticercosis in cattle herds located in different farms of the state of Rondônia, Brazil. Among the 987 animals slaughtered from 33 farms, 21 animals (Frequency: 2.13%; 95C.I. 1.23-3.03) were considered as positive through indirect ELISA and confirmed by Immunoblot tests and the cysticercosis was detected in 12 farms (36.36% - C.I. 95% 19.95-52.78). The disease was detected in the municipalities Vale do Paraíso (12.50%), Theobroma (8.11%), Guaporé (7.27%), Rolim de Moura (5.71%), Presidente Médici (5.0%), Ouro Preto do Oeste (4.69%), Nova União (1.77%), Nova Brasilândia d'Oeste (1.14%) and Ministro Andreazza (1.01%). Therefore, prophylactic measures should be taken to improve beef production, control bovine cysticercosis and reduce costs to public health in this Brazilian state.

Real-time PCR assay targeting the actin gene for the detection of Cryptosporidium parvum in calf fecal samples.

Cryptosporidium parvum infection is very important with respect to public health, owing to foodborne and waterborne outbreaks and gastrointestinal illness in immunocompetent and immunocompromised persons. In cattle, infection with this species manifests either as a subclinical disease or with diarrheal illness, which occurs more often in the presence of other infectious agents than when alone. The aim of this study was to develop a real-time polymerase chain reaction (PCR) assay for the detection of C. parvum in calf fecal samples and to compare the results of this assay with those of the method routinely used for the diagnosis of Cryptosporidium spp., nested PCR targeting the 18S rRNA gene. Two hundred and nine fecal samples from calves ranging in age from 1 day to 6 months were examined using real-time PCR specific for the actin gene of C. parvum and by a nested PCR targeting the 18S rRNA gene of Cryptosporidium spp. Using real-time PCR detection, 73.2% (153 out of 209) of the samples were positive for C. parvum, while 56.5% (118 out of 209) of the samples were positive for Cryptosporidium spp. when the nested PCR amplification method was used for the detection. The analytical sensitivity of the real-time PCR was approximately one C. parvum oocyst. There was no significant nonspecific DNA amplification of any of the following species and genotype: Cryptosporidium andersoni, Cryptosporidium baileyi, Cryptosporidium bovis, Cryptosporidium canis, Cryptosporidium galli, Cryptosporidium ryanae, Cryptosporidium serpentis, or avian genotype II. Thus, we conclude that real-time PCR targeting the actin gene is a sensitive and specific method for the detection of C. parvum in calf fecal samples.