scholarly journals Identification and characterization of porcine parvovirus in Hunan province, China

2020 ◽  
Vol 76 (08) ◽  
pp. 6420-2020
Author(s):  
DUN ZHAO ◽  
MEIJUN YAN ◽  
XINGLONG YU

Porcine parvovirus (PPV) is considered one of the most important infectious agents of reproductive failure in sows. Little information, however, is available on its prevalence in healthy fattening pigs. Therefore, in the present study, 197 fecal swabs, 197 nasal swabs, 389 serum samples, and 310 lung samples were collected from pigs aged 10-25 weeks across Hunan, China, and tested for the presence of PPV. PPV DNA was amplified by polymerase chain reaction, demonstrating an overall positivity rate of 7.69%, with a particularly high infection rate of 22.90% in the lungs. A total of five PPV strains (PPV-HuN1-5) were isolated on the basis of cytopathic effects in swine testicular cells, and the near-complete genomes were sequenced and subjected to phylogenetic analysis with reference to reported PPV sequences in GenBank. The five Hunan isolates showed a close relationship with each other and predominantly with reported European PPV strains. Moreover, seven amino acid substitutions were detected within the coding region of the VP2 of PPV-HuNs when compared with that of the Chinese vaccine strain PPV-NJ. The relatively high prevalence of PPV discovered in healthy fattening pigs despite a long-term vaccination program in China, highlights the need for improved prevention, monitoring, and control of related diseases in herds.

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Jira Chansaenroj ◽  
Ritthideach Yorsaeng ◽  
Nawarat Posuwan ◽  
Jiratchaya Puenpa ◽  
Natthinee Sudhinaraset ◽  
...  

Abstract Background Efficient monitoring and control of coronavirus disease 2019 (COVID-19) require access to diagnostic tests, and serological diagnostic testing is desirable. In the current study, antibodies were investigated in patients recently diagnosed with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Methods Cross-sectional data were obtained from 245 patients in whom SARS-CoV-2 infection had been confirmed via real-time reverse transcriptase-polymerase chain reaction between March and October 2020. Serum samples were acquired between 2 and 60 days following the onset of COVID-19 symptoms or the first detection of SARS-CoV-2 in asymptomatic patients. All specimens were tested simultaneously using an IgM/IgG rapid diagnostic test (RDT), IgG nucleocapsid protein-based chemiluminescent microparticle immunoassay (CMIA), IgG, and IgA spike protein-based enzyme-linked immunosorbent assays (ELISAs). Blood donor samples obtained in 2018 were used as negative controls. Results The sensitivity and specificity of the RDT IgG were compared with the IgG immunoassays as standards. The RDT IgG exhibited 97.5% sensitivity and 89.4% specificity compared with a CMIA IgG, 98.4% sensitivity, and 78.8% specificity compared with an ELISA IgG. IgM, IgG, and IgA seropositivity rates were low between 1 and 2 weeks after COVID-19 symptom onset or the detection of SARS-CoV-2 RNA. IgM seropositivity rate began decreasing after 4 weeks, whereas IgG and IgA seropositivity rate remained at appreciable levels over the 8-week study period. No cross-reactivity with seasonal coronaviruses was detected. Conclusions IgG RDT alone or combined with molecular diagnostic tests may be useful for identifying recent SARS-CoV-2 infection.


2021 ◽  
Author(s):  
Jira Chansaenroj ◽  
Ritthideach Yorsaeng ◽  
Nawarat Posuwan ◽  
Jiratchaya Puenpa ◽  
Natthinee Sudhinaraset ◽  
...  

Abstract Background: Efficient monitoring and control of coronavirus disease 2019 (COVID-19) require access to diagnostic tests, and serological diagnostic testing is desirable. In the current study, antibodies were investigated in patients recently diagnosed with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection.Methods: Cross-sectional data were obtained from 245 patients in whom SARS-CoV-2 infection had been confirmed via real-time reverse transcriptase-polymerase chain reaction between March and October 2020. Serum samples were acquired between 2 and 60 days following the onset of COVID-19 symptoms or the first detection of SARS-CoV-2 in asymptomatic patients. All specimens were tested simultaneously using an IgM/IgG rapid diagnostic test (RDT), IgG nucleocapsid protein-based chemiluminescent microparticle immunoassay (CMIA), IgG, and IgA spike protein-based enzyme-linked immunosorbent assays (ELISAs). Blood donor samples obtained in 2018 were used as negative controls. Results: The sensitivity and specificity of the RDT IgG were compared with the IgG immunoassays as standards. The RDT IgG exhibited 97.5% sensitivity and 89.4% specificity compared with a CMIA IgG, 98.4% sensitivity, and 78.8% specificity compared with an ELISA IgG. IgM, IgG, and IgA seropositivity rates were low between 1-2 weeks after COVID-19 symptom onset or the detection of SARS-CoV-2 RNA. IgM seropositivity rate began decreasing after 4 weeks, whereas IgG and IgA seropositivity rate remained at appreciable levels over the 8-week study period. No cross-reactivity with seasonal coronaviruses was detected.Conclusions: IgM/IgG RDTs alone or combined with molecular diagnostic tests may be useful for identifying recent SARS-CoV-2 infection.


Author(s):  
David C. Joy

Personal computers (PCs) are a powerful resource in the EM Laboratory, both as a means of automating the monitoring and control of microscopes, and as a tool for quantifying the interpretation of data. Not only is a PC more versatile than a piece of dedicated data logging equipment, but it is also substantially cheaper. In this tutorial the practical principles of using a PC for these types of activities will be discussed.The PC can form the basis of a system to measure, display, record and store the many parameters which characterize the operational conditions of the EM. In this mode it is operating as a data logger. The necessary first step is to find a suitable source from which to measure each of the items of interest. It is usually possible to do this without having to make permanent corrections or modifications to the EM.


2016 ◽  
Author(s):  
Giacomo Giannoccaro ◽  
Armando Ursitti ◽  
Maurizio Prosperi

2020 ◽  
pp. 4-10
Author(s):  
VLADIMIR V. KIRSANOV ◽  
◽  
DMITRIY YU. PAVKIN ◽  
FEDOR E. FEDOR E. VLADIMIROV ◽  
EVGENIY А. NIKITIN ◽  
...  

A modern dairy farm is a complex biotechnical “man-machine-animal” system, where purposeful human activity concentrates mainly on the control of the “machine” and “animal” subsystems, thus making the whole system ergatic. Increasing the interaction effi ciency of machine subsystems with biological objects (animals) requires an in-depth study of the properties and characteristics of the latter, their behavior, adaptive and refl ex mechanisms that ensure the mutual adaptation of machine and biological subsystems. The paper considers general functionality of the “animal” subsystem, which includes lists of monitored parameters (functions) in pre-weaning, pre-lactation and lactation periods. In a similar way, functionals of the subsystems of the general musculoskeletal development of the animal’s body, respiratory and digestive organs, comfort of the habitat, development and control of the reproductive organs of lactating cows were obtained accompanied with a list of controlled functions and parameters. To carry out a set of research activities in this fi eld, FSAC VIM is planning to carry out a complex project that will increase the levels of automation, digitalization and intellectualization of animal husbandry, provide for comfortable environment, optimal rediced-impact service modes for animals and their extended productive longevity, increased quality of milk and autonomous functioning of individual local biotechnical subsystems.


Author(s):  
Oleksandra Maslii ◽  
Andrii Maksymenko ◽  
Svitlana Onyshchenko

Place of monitoring and control of risks of financial stability of the state in the system of ensuring financial security of the state was substantiated. Methods of identifying threats to Ukraine's financial security through the current and strategic analysis of financial system development indicators were considered. Tendencies of economic development of Ukraine in the context of revealing sources of threats to financial stability of the state were analyzed. Dynamic analysis of the actual values of the financial security indicators of Ukraine as a whole and its separate components had been carried out. Threats to Ukraine's financial security were identified based on comparative and trend analysis. Reasons for the critical state of debt, banking and monetary security in the financial structure and the preconditions for the emergence of systemic threats had been investigated. Systematization of risks and threats to Ukraine's financial security by its components had been carried out. Influence of systemic threats in the financial sphere on the economic security of the state was generalized. International experience of monitoring financial stability of the state was analyzed. Additional risks to the national financial system are associated with the globalization and digitization of the state financial system that are not taken into account by valid methodological recommendations for calculating the level of economic security of Ukraine were highlighted.


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