In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.

Input: Consider Input: Avian infectious bronchitis virus (IBV), a coronavirus, causes infectious bronchitis leading to enormous economic loss in the poultry industry worldwide. Hypericin (HY) is an excellent compound that has been investigated in antiviral, antineoplastic, and antidepressant. To investigate the inhibition effect of HY on IBV infection in chicken embryo kidney (CEK) cells, 3 different experimental designs: pre-treatment of cells prior to IBV infection, direct treatment of IBV-infected cells, and pre-treatment of IBV prior to cell infection were used. Quantitative real-time PCR (qRT-PCR), immunofluorescence assay (IFA), flow cytometry, and fluorescence microscopy were performed and virus titer was determined by TCID 50 . The re-sults revealed that HY had a good anti-IBV effect when HY directly treated the IBV-infected cells, and virus infectivity decreased in a dose-dependent manner. Furthermore, HY inhibited IBV-induced apoptosis in CEK cells, and significantly reduced the mRNA expression levels of Fas, FasL, JNK, Bax, Caspase 3, and Caspase 8, and significantly increased Bcl-2 mRNA expression level in CEK cells. In addition, HY treatment could decrease IBV-induced reactive oxygen species (ROS) generation in CEK cells. These results suggested that HY showed potential antiviral activities against IBV infection involving the inhibition of apoptosis and ROS generation in CEK cells.

Output: Protective effects of hypericin against infectious bronchitis virus induced apoptosis and reactive oxygen species in chicken embryo kidney cells


Input: Consider Input: A reversed passive hemagglutination (I~PHA) method was developed for the detection of bovine eoronavirus in fecal specimens. Sheep erythrocytes fixed with glutaraldehyde, and then treated with tannic acid were coated with anti-bovine coronavirus rabbit antibodies purified by affinity chromatography using bovine eoronavirus linked to Sepharose 4B. The RPHA test was carried out by a microtiter method. Erythrocytes coated with purified specific antibodies were agglutinated by bovine coronavirus, but not by bovine rotavirus or enterovirus. The reaction was inhibited by antiserum to bovine coronavirus, confirming the specificity of the reaction. The I~PIIA test detected bovine coronavirus in 13 of 22 fecal specimens (59 per cent), from natural cases of diarrhea, while the positive rates were only 14 per cent (3/22) and 22 per cent (5/22) for immunofluorescent staining of primary cultures of calf kidney cells infected with the specimens, and immune electron microscopy respectively. The advantages of the I~PHA method are its simplicity, high sensitivity and rapidity.

Output: Archives of Virology Detection of Bovine Coronavirus in Feces by Reversed Passive Hemagglutination


Input: Consider Input: Gaining insight in likely disease emergence scenarios is critical to preventing such events from happening. Recent focus has been on emerging zoonoses and on identifying common patterns and drivers of emerging diseases. However, no overarching framework exists to integrate knowledge on all emerging infectious disease events. Here, we propose such a conceptual framework based on changes in the interplay of pathogens, hosts and environment that lead to the formation of novel disease patterns and pathogen genetic adjustment. We categorize infectious disease emergence events into three groups: (i) pathogens showing up in a novel host, ranging from spill-over, including zoonoses, to complete species jumps; (ii) mutant pathogens displaying novel traits in the same host, including an increase in virulence, antimicrobial resistance and host immune escape; and (iii) disease complexes emerging in a new geographic area, either through range expansion or through long distance jumps. Each of these categories is characterized by a typical set of drivers of emergence, matching pathogen trait profiles, disease ecology and transmission dynamics. Our framework may assist in disentangling and structuring the rapidly growing amount of available information on infectious diseases. Moreover, it may contribute to a better understanding of how human action changes disease landscapes globally.


Output: Pathogen-host-environment interplay and disease emergence