[Using the big data of internet to understand the characteristics of coronavirus disease 2019: a big data study]

Objective: To analyze the symptom characteristics of Coronavirus Disease 2019(COVID-19) and to improve its prevention by using big data. Methods: Using Baidu Index Platform (http://index.baidu.com) and the website of Chinese Center for Disease Control and Prevention as data resources, we obtained the search volume (SV) of keywords for symptoms associated with COVID-19 from January 1 to February 20 in each year from 2017 to 2020, in Hubei province and other top 10 impacted provinces in China and the epidemic data. Data of 2020 were compared with the previous three years. Data of Hubei province were compared with confirmed cases. The differences and characteristics of the SV of COVID-19-related symptoms, and the correlation between the SV of COVID-19 and new confirmed or suspected cases were analyzed and the hysteresis effects were discussed. R3.6.2 software was used to analyze the data. Results: Compared the data from January 1 to February 20, 2020, with the SV for the same period of previous three years, Hubei's SV for cough, fever, diarrhea, chest tightness, dyspnea and other symptoms were significantly increased. The total SV of lower respiratory symptoms was significantly higher than that of upper respiratory symptoms (P<0.001). The SV of COVID-19 in Hubei province was significantly correlated with new confirmed or suspected cases (r(confirmed)=0.723, r(suspected)=0.863, all P<0.001). The results of the distributed lag model suggested that the patients who retrieved relevant symptoms on the internet may begin to see a doctor in 2-3 days later and be diagnosed in 3-4 days later. Conclusions: The total SV of lower respiratory symptoms is higher than that of upper respiratory symptoms, and the SV of diarrhea also increases significantly. It warns us to pay attention to not only the symptoms of lower respiratory tract, but also the gastrointestinal symptoms, especially diarrhea in patients with COVID-19. There is a relationship between internet retrieval behavior and the number of new confirmed or suspected cases. Big data have a certain role in the early warning of infectious diseases.

An improved RT-IPCR for detection of pyrene and related polycyclic aromatic hydrocarbons

Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous homogeneous chemicals which are well known by carcinogens, mutagens and endocrine disorder. Here, an improved real-time immuno-PCR (RT-IPCR) was developed for detection of pyrene and its homologs in water samples. The PAHs in sample compete with pyrene-modified DNA to bind with monoclonal antibody (McAb) coated on PCR plate. The reporter DNA was exponentially amplified by real-time PCR instrument using Fast Start universal SYBR Green Master (ROX) kit. Only two reaction steps were needed to accomplish the detection. The assay had a good linear range from 5 pmol L(-1) to 5 nmol L(-1) with a detection limit of 3.5 pmol L(-1). For application assay, the average recoveries from tap water, lake water and mineral water were 98.4%, 98.2% and 99.7%, respectively which showed a good correlation (R(2)=0.9906) with those from GC-MS. The results indicated that the improved RT-IPCR seems to be a potential method for simple and ultrasensitive detection of pyrene and some homologues in environment water samples.

Protection of chickens from infectious laryngotracheitis with a recombinant fowlpox virus expressing glycoprotein B of infectious laryngotracheitis virus

Infectious laryngotracheitis (ILT) is an economically important disease of chickens caused by a type I gallid herpesvirus, infectious laryngotracheitis virus (ILTV). The vaccines currently available are modified live viruses, which are effective in preventing disease outbreaks. However, they have often been associated with a variety of adverse effects including spread of vaccine virus to non-vaccinates, inadequate attenuation, production of latently infected carriers, and increased virulence as a result of in vivo passage. In this study, a recombinant fowlpox virus expressing glycoprotein B (gB) of ILTV (rFPV-ILTVgB) was constructed. Protection of specific pathogen free (SPF) and commercial chickens from ILT with the rFPV-ILTVgB and commercial ILTV vaccine (Nobilis ILT) were compared after challenge with a lethal dose of virulent ILTV.Both the rFPV-ILTVgB- and the Nobilis ILT-vaccinated SPF chickens were completely protected from death, while 90% of the unvaccinated chickens died after challenge. The immunized commercial chickens were also 100% protected with rFPV-ILTVgB, compared with 85% protected with Nobilis ILT. The protective efficacy was also measured by the antibody response to ILTV gB, isolation of challenge virus and polymerase chain reaction amplification of the ILTV thymidine kinase gene after challenge. The results showed that rFPV-ILTVgB could be a potential safe vaccine to replace current modified live vaccines for preventing ILT.

Analysis of the gene 3 region sequences of Chinese field strains of Transmissible gastroenteritis virus

The genome of Transmissible gastroenteritis virus (TGEV) displays genetic diversity especially in gene 3 region. Sequence and comparative analysis of 3a and 3b genes of eight Chinese field strains with reference TGEV strains indicated that these strains shared 87.0-100% and 51.5%-100% identities at the nucleotide level, respectively, and 86.1%-100% and 66.2%-100% identities at the amino acid level, respectively. Moreover, in one of the strains (CH/SDQ/08), a 51 nt deletion in the gene 3 region was found. Phylogenetic analysis showed that the eight Chinese strains were more closely related to TGEV strains H165, H16, Miller M6, Miller M60, TS, and CHV than to other reference strains. In addition, this study indicated the presence of different TGEV strains within the same pig herds in China.