SARS-CoV-2: Origin, Intermediate Host and Allergenicity Features and Hypotheses.

The goal of this study is to investigate the probable intermediate hosts and the allergenicity of the notorious virus SARS-CoV-2 to understand how this virus emerged. The phylogenetic analysis of the virus spike proteins indicates that SARS-CoV-2 falls into various small subclades that include a bat coronavirus RaTG13, suggesting bats as a likely natural origin. Refined alignment of the spike protein in NCBI found several fragments that are specific to SARS-CoV-2 and/or SARS-CoV are specific to and/or , suggesting that rodents are the intermediate reservoir of SARS-CoV-2 and SARS-CoV.

miR‑140‑5p regulates cell migration and invasion of non‑small cell lung cancer cells through targeting VEGFA.

Lung cancer is the most common type of cancer worldwide, the most prevalent form of which is non‑small cell lung cancer (NSCLC). MicroRNAs (miRs) are involved in the progression of NSCLC; however, the specific function of miR‑140‑5p in NSCLC remains unclear. The present study demonstrated that miR‑140‑5p was downregulated in the tumor tissues of patients with NSCLC, and it was associated with a poor prognosis.

[Analysis on influence of meteorological factors on Oncomelania density].

Objective: To understand the influence of meteorological factors on Oncomelania density in natural condition and provide scientific evidence for the control of the spread of schistosomiasis and Oncomelania.

Methods: Based on the Oncomelania survey data in spring and ground meteorological observation data of Qianjiang from 1990 to 2014, the first-order autoregressive analysis method was used for trend fitting and disassemble, and the correlation between the change rate of Oncomelania density and various meteorological factors in different periods were analyzed.

Results: The greatest influence of meteorological factors on Oncomelania density was temperature, followed by precipitation.

[Spatiotemporal pattern of Oncomelania snails at village level in Hubei Province].

Objective: To study the spatiotemporal distribution of Oncomelania hupensis snails in different areal-types at a village level in Hubei Province, so as to provide the basis for formulating the strategies and measures of snail control.

Methods: The snail data of 30 schistosomiasis epidemic counties at a village scale in Hubei Province from 2007 to 2012 were collected and combined with the geographic information of each village to construct the spatial database of snails. The snail area and its change trend of different areal-types were illustrated; the multilevel model of snail distribution was established.