ObjectiveTo analyze the protective effect of different types of influenza vaccines (InfV) against influenza A among the individuals aged between 3‒17 years old, and to provide a scientific basis for the prevention and control of influenza in the future. MethodsA retrospective cohort study was conducted to collect data on the incidence and InfV vaccination of the individuals aged between 3‒17 years during the influenza epidemic season from 2022 to 2023. Vaccine effectiveness (VE) was calculated, and a log-binomial regression model was used to calculate the corrected VE. ResultsThe incidence rate of influenza in InfV vaccinated and un-vaccinated groups was 7.32% (1 937/ 26 446) and 9.65% (4 421/45 837), respectively. After adjusting for age and gender factors, the unadjusted VE (95%CI) was 54.57% (52.24%‒56.78%). The unadjusted VE (95%CI) was 53.66% (50.36%‒56.74%) for males and 55.60% (52.24%‒58.72%) for females, respectively. The unadjusted VE (95%CI) for the age group of 3‒ years, 6‒ years, 9‒ years, 12‒ years, and 15‒17 years were 64.08% (60.89%‒67.01%), 57.40% (53.71%‒60.80%), 57.77% (52.49%‒62.47%), 24.36% (9.49%‒36.79%), and 24.09% (-17.59%‒51.00%), respectively. The unadjusted VE (95%CI) for quadrivalent split-virion inactivated influenza vaccine, trivalent split-virion inactivated influenza vaccine, trivalent subunit influenza vaccine, and trivalent live attenuated influenza vaccine were 53.84% (51.32%‒56.24%), 62.17% (56.28%‒67.26%), 79.83% (69.94%‒86.46%), and 31.59% (19.07%‒42.18%), respectively. ConclusionThe InfV used during the 2022‒2023 influenza season had a good protective effect against influenza A among the individuals aged between 3‒17 years old, especially in those aged between 3‒11 years old.

Currently, cardiovascular disease has become a major threat to the health of Chinese residents, and prevention and control work is urgent. Self-determination theory is a widely applied theory of behavioral change, extensively used in the field of patient' rehabilitation. This article reviews the content, relevant theoretical models, motivation measurement methods, application status and influencing factors of self-determination theory in the rehabilitation of cardiovascular disease patients, so as to provide a basis for promoting the transition of cardiovascular disease patients to healthy lifestyles and maintaining healthy behavior.

Currently, biomanufacturing technology and industry are receiving worldwide attention. However, there are still great challenges on bioprocess optimization and scale-up, including: lacing the process detection methods, which makes it difficult to meet the requirement of monitoring of key indicators and parameters; poor understanding of cell metabolism, which arouses problems to rationally achieve process optimization and regulation; the reactor environment is very different across the scales, resulting in low efficiency of stepwise scale-up. Considering the above key issues that need to be resolved, here we summarize the key technological innovations of the whole chain of fermentation process, i.e., real-time detection-dynamic regulation-rational scale-up, through case analysis. In the future, bioprocess design will be guided by a full lifecycle in-silico model integrating cellular physiology (spatiotemporal multiscale metabolic models) and fluid dynamics (CFD models). This will promote computer-aided design and development, accelerate the realization of large-scale intelligent production and serve to open a new era of green biomanufacturing.
Bioreactors ; Computer Simulation ; Fermentation ; Hydrodynamics

Genome-scale metabolic network model (GSMM) is becoming an important tool for studying cellular metabolic characteristics, and remarkable advances in relevant theories and methods have been made. Recently, various constraint-based GSMMs that integrated genomic, transcriptomic, proteomic, and thermodynamic data have been developed. These developments, together with the theoretical breakthroughs, have greatly contributed to identification of target genes, systems metabolic engineering, drug discovery, understanding disease mechanism, and many others. This review summarizes how to incorporate transcriptomic, proteomic, and thermodynamic-constraints into GSMM, and illustrates the shortcomings and challenges of applying each of these methods. Finally, we illustrate how to develop and refine a fully integrated GSMM by incorporating transcriptomic, proteomic, and thermodynamic constraints, and discuss future perspectives of constraint-based GSMM.
Genome/genetics* ; Metabolic Engineering ; Metabolic Networks and Pathways/genetics* ; Models, Biological ; Proteomics

OBJECTIVE: To investigate the clinical outcome of patients with moderate type of coronavirus disease 2019 (COVID-19) after discharge by retesting viral nucleic acid. METHODS: Seven patients with moderate COVID-19 met the discharge criteria enacted by National Health Commission were quarantined in hospital for 7 days, then continuously quarantined at home for 4 weeks after discharged. During the quarantined period, the symptoms and signs were documented, and sputum or nasal swab and feces samples were collected to test SARS-CoV-2 nucleic acid by RT-PCR method. RESULTS: There was no symptoms and signs during the quarantine period in all 7 patients. However, respiratory swabs from 3 patients were confirmed positive of SARS-CoV-2 nucleic acid at 5 to 7 days after they met the discharge criteria. CONCLUSIONS There is a relatively high incidence of positive viral nucleic acid in patients met the discharge criteria, and it is suggested that patients met the current discharge criteria should be quarantined in hospital for another 7 days and the follow-up viral testing is necessary.
Betacoronavirus ; isolation & purification ; Coronavirus Infections ; diagnosis ; Feces ; chemistry ; virology ; Follow-Up Studies ; Humans ; Pandemics ; Patient Discharge ; statistics & numerical data ; Pneumonia, Viral ; diagnosis ; Quarantine ; statistics & numerical data ; RNA, Viral ; analysis ; Reverse Transcriptase Polymerase Chain Reaction ; Time Factors

OBJECTIVE: To investigate the clinical outcome of patients with moderate type of corona virus disease 2019 (COVID-19) after discharge by retesting viral nucleic acid. METHODS: Seven patients with moderate COVID-19 met the discharge criteria enacted by National Health Commission were quarantine in hospital for 7 days, then continuously quarantined at home for 4 weeks after discharged. During the three weeks of quarantined period, the symptoms and signs were documented; and sputum or nasal swab and feces samples were collected to test SARS-COV-2 nucleic acid by RT-PCR method. RESULTS: There were no symptoms and signs during the quarantine period in all 7 patients. However, respiratory swabs from 3 patients were confirmed positive of SARS-COV-2 nucleic acid at 5 to 7 days after they met the discharge criteria. CONCLUSIONS The study indicates that there is a relatively high incidence of positive viral nucleic acid in patients met the discharge criteria, and it is suggested that patients met the current discharge criteria should be quarantined in hospital for another 7 days and the follow-up viral testing is necessary.
Asymptomatic Diseases ; Betacoronavirus ; genetics ; China ; Clinical Laboratory Techniques ; Coronavirus Infections ; diagnosis ; virology ; Follow-Up Studies ; Humans ; Pandemics ; Patient Discharge ; standards ; Pneumonia, Viral ; diagnosis ; virology ; Quarantine ; Reverse Transcriptase Polymerase Chain Reaction ; Time Factors

Isotope Dilution Mass Spectrometry (IDMS) is the most accurate method for high-throughput detection of intracellular metabolite concentrations, and the key is getting the corresponding fully uniformly(U) ¹³C-labeled metabolites to be measured. The conventional procedure for getting fully U ¹³C-labeled metabolites is through batch cultivation, but intracellular metabolites concentrations by this method are generally low. By applying U ¹³C-labeled glucose pulse, combined with fast sampling and quenching, mixture of fully U ¹³C-labeled intracellular metabolites was successfully extracted with higher concentration from Pichia pastoris G/DSEL fed with fully U ¹³C-labeled glucose as only carbon source. Quantitative results from liquid chromatography tandem mass spectrometry (LC-MS) and gas chromatography tandem mass spectrometry (GC-MS) show that concentrations of organic acids, sugar phosphates, amino acids and nucleotides were 2-10 folds higher than those without glucose pulse. Therefore, the glucose pulse method can efficiently improve the usage of fully U ¹³C-labeled glucose converting to ¹³C-labeled metabolites, and achieve the detection of intracellular metabolites with lower concentrate than the instrument detection limit.

The advances of industrial biotechnology highly depend on the development of industrial bioprocess researches. In China, we are facing several challenges because of a huge national industrial fermentation capacity. The industrial bioprocess development experienced several main stages. This work mainly reviews the development of the industrial bioprocess in China during the past 30 or 40 years: including the early stage kinetics model study derived from classical chemical engineering, researching method based on control theory, multiple-parameter analysis techniques of on-line measuring instruments and techniques, and multi-scale analysis theory, and also solid state fermentation techniques and fermenters. In addition, the cutting edge of bioprocess engineering was also addressed.
Bioengineering ; history ; Bioreactors ; Biotechnology ; Chemical Engineering ; China ; Fermentation ; History, 20th Century ; History, 21st Century

Carbon-limited continuous culture was used to study the relationship between the growth of Aspergillus niger and the production of glucoamylase. The result showed that when the specific growth rate was lower than 0.068 h(-1), the production of glucoamylase was growth-associated, when the specific growth rate was higher than 0.068 h(-1), the production of glucoamylase was not growth-associated. Based on the result of continuous culture, the Monod dynamics model of glucose consumption of A. niger was constructed, Combining Herbert-Pirt equation of glucose and oxygen consumption with Luedeking-Piret equation of enzyme production, the black-box model of Aspergillus niger for enzyme production was established. The exponential fed-batch culture was designed to control the specific growth rate at 0.05 h(-1) by using this model and the highest yield for glucoamylase production by A. niger reached 0.127 g glucoamylase/g glucose. The black-box model constructed in this study successfully described the glucoamylase production by A. niger and the result of the model fitted the measured value well. The black-box model could guide the design and optimization of glucoamylase production by A. niger.
Aspergillus niger ; metabolism ; Batch Cell Culture Techniques ; Carbon ; Culture Media ; Glucan 1,4-alpha-Glucosidase ; biosynthesis ; Glucose ; Industrial Microbiology ; methods ; Oxygen

Filamentous fungi are widely used in industrial fermentation. Particular fungal morphology acts as a critical index for a successful fermentation. To break the bottleneck of morphological analysis, we have developed a reliable method for fungal morphological analysis. By this method, we can prepare hundreds of pellet samples simultaneously and obtain quantitative morphological information at large scale quickly. This method can largely increase the accuracy and reliability of morphological analysis result. Based on that, the studies of Aspergillus niger morphology under different oxygen supply conditions and shear rate conditions were carried out. As a result, the morphological responding patterns of A. niger morphology to these conditions were quantitatively demonstrated, which laid a solid foundation for the further scale-up.
Aspergillus niger ; cytology ; Fermentation ; Industrial Microbiology ; Reproducibility of Results