ABSTRACT
Severe fever with thrombocytopenia syndrome (SFTS) is an acute infectious disease caused by novel bunyavirus (SFTSV), with a mortality rate of 6.3% ~ 30%. To date, there is no specific treatment for SFTS. Previously, we demonstrated that SFTSV surface glycoprotein (Glycoprotein N, Gn) was a potential target for the development of SFTS vaccine or therapeutic antibodies, and anti-Gn neutralizing antibodies played a protective role in SFTS infection. Compared with traditional antibodies, nanobodies from camelids have various advantages, including small molecular weight, high affinity, low immunogenicity, convenient production by gene engineering, etc. In this study, we combined next-generation sequencing (NGS) with proteomics technology based on affinity purification-mass spectrometry (AP-MS) and bioinformatics analysis to high-throughput screen monoclonal anti-Gn nanobodies from camel immunized with Gn protein. We identified 19 anti-Gn monoclonal nanobody sequences, of which six sequences were selected for recombinant protein expression and purification. Among these six anti-Gn nanobodies, nanobody 57,493 was validated to be highly specific for Gn. The innovative high-throughput technical route developed in this study could also be expanded to the production of nanobodies specific for other viruses like SARS-CoV-2.
Subject(s)
COVID-19 , Phlebovirus , Severe Fever with Thrombocytopenia Syndrome , Single-Domain Antibodies , Humans , Phlebovirus/genetics , Phlebovirus/metabolism , Single-Domain Antibodies/genetics , Single-Domain Antibodies/metabolism , Proteomics , SARS-CoV-2/genetics , High-Throughput Nucleotide SequencingABSTRACT
This study empirically analyzes various implications of the COVID-19 pandemic in China and trading partner countries on China’s exports by constructing an econometric model using COVID-19 pandemic data from China and its 21 trading partner countries (regions) from January 2019 to August 2020. The results show that (1) the COVID-19 pandemic in China has a significant negative effect on its export trade, (2) the COVID-19 pandemic situations in trading partner countries and regions generate significant positive effects on China’s total exports, and (3) the COVID-19 pandemic situation has a heterogeneous impact on China’s exports to different trading partners.
ABSTRACT
This paper empirically analyzes the impact of the COVID-19 pandemic on economic sentiment by constructing an econometric model using monthly data from 36 countries from December 2019 to October 2020. The results of this study show: (1) After the outbreak of the COVID-19 pandemic, economic sentiment fluctuated greatly, and even turned pessimistic. (2) It has a significant negative impact on economic sentiment. (3) It, however, has a substantial positive impact on consumer confidence, a major negative impact on industrial confidence, and no significant impact on services confidence.
ABSTRACT
China’s economic policy uncertainty (EPU) and firms’ outward foreign direct investment (OFDI) research operates at the unitary level and lacks the structural foundations of binary margins. Thus, given the COVID-19 pandemic, this study employs the gravity model to examine the impact of China’s EPU on firms’ OFDI binary margins, using data from the first quarter of 2012 to the third quarter of 2020. Accordingly, China’s EPU inhibits extensive and intensive margins of firms’ OFDI significantly. Moreover, COVID-induced EPU has no significant impact on the OFDI intensive margin but positively impacts the extensive margin, indicating the motivation for diversifying investment risks.