| 2 | The rapid and efficient strategy for SARS-CoV-2 Omicron transmission control: analysis of outbreaks at the city level显示文摘Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron (B.1.1.529) variant is highly transmissible with potential immune escape. Hence, control measures are continuously being optimized to guard against large-scale coronavirus disease 2019 (COVID-19) outbreaks. This study aimed to explore the relationship between the intensity of control measures in response to different SARS-CoV-2 variants and the degree of outbreak control at city level.Methods: A retrospective study was conducted in 49 cities with COVID-19 outbreaks between January 2020 and June 2022. Epidemiological data on COVID-19 were extracted from the National Health Commission, People’s Republic of China, and the population flow data were sourced from the Baidu migration data provided by the Baidu platform. Outbreak control was quantified by calculating the degree of infection growth and the time-varying reproduction number (Rt). The intensity of the outbreak response was quantified by calculating the reduction in population mobility during the outbreak period. Correlation and regression analyses of the intensity of the control measures and the degree of outbreak control for the Omicron variant and non-Omicron mutants were conducted, respectively.Results: Overall, 65 outbreaks occurred in 49 cities in China from January 2020 to June 2022. Of them, 66.2% were Omicron outbreaks and 33.8% were non-Omicron outbreaks. The intensity of the control measures was positively correlated with the degree of outbreak control (r = 0.351,P = 0.03). The degree of reduction in population mobility was negatively correlated with the R_(t) value (r = - 0.612,P < 0.01). Therefore, under the same control measure intensity, the number of new daily Omicron infections was 6.04 times higher than those attributed to non-Omicron variants, and theRt value of Omicron outbreaks was 2.6 times higher than that of non-Omicron variants. In addition, the duration of non-Omicron variant outbreaks was shorter than that of the outbreaks caused by the Omicron variant (23.0 ± 10.7, 32.9 ± 16.3,t = 2.243,P = 0.031).Conclusions: Greater intensity of control measures was associated with more effective outbreak control. Thus, in response to the Omicron variant, the management to restrict population movement should be used to control its spread quickly, especially in the case of community transmission occurs widely. Faster than is needed for non-Omicron variants, and decisive control measures should be imposed and dynamically adjusted in accordance with the evolving epidemic situation. | Jin‑Xin Zheng Shan Lv Li‑Guang Tian Zhao‑Yu Guo Pei‑Yong Zheng Yue‑Lai Chen Shi‑Yang Guan Wei‑Ming Wang Shun‑Xian Zhang | 2022 | Infectious Diseases of Poverty2022，11，6： | 0 |
| 3 | Bioorthogonal Engineered Virus‑Like Nanoparticles for Efficient Gene Therapy显示文摘Gene therapy offers potentially transformative strategies for major human diseases.However,one of the key challenges in gene therapy is developing an effective strategy that could deliver genes into the specific tissue.Here,we report a novel virus-like nanoparticle,the bioorthgonal engineered viruslike recombinant biosome(reBiosome),for efficient gene therapies of cancer and inflammatory diseases.The mutant virus-like biosome(mBiosome)is first prepared by site-specific codon mutation for displaying 4-azido-L-phenylalanine on vesicular stomatitis virus glycoprotein of eBiosome at a rational site,and the reBiosome is then prepared by clicking weak acid-responsive hydrophilic polymer onto the mBiosome via bioorthogonal chemistry.The results show that the reBiosome exhibits reduced virus-like immunogenicity,prolonged blood circulation time and enhanced gene delivery efficiency to weakly acidic foci(like tumor and arthritic tissue).Furthermore,reBiosome demonstrates robust therapeutic efficacy in breast cancer and arthritis by delivering gene editing and silencing systems,respectively.In conclusion,this study develops a universal,safe and efficient platform for gene therapies for cancer and inflammatory diseases. | Chun‑Jie Bao Jia‑Lun Duan Ying Xie Xin‑Ping Feng Wei Cui Song‑Yue Chen Pei‑Shan Li Yi‑Xuan Liu Jin‑Ling Wang Gui‑Ling Wang Wan‑Liang Lu | 2023 | Nano-Micro Letters2023，15，11： | 0 |
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