To analyze the epidemiological characteristics of COVID-19 in Fujian Province from the 49th week of 2022 to the 5th week of 2023,after further optimization of China's COVID-19 prevention and control measures on December 7,2022(the 49th week of 2022),this study used multi-dimensional surveillance data to dynamically assess population infection levels and their changing trends.The aim of the study was to provide a scientific basis for early warning of epidemic risk,medical resource allocation,and evalu-ation of socio-economic impact.A multi-source data surveillance system was constructed,encompassing surveillance of fever clinics at medical institutions(weekly collection of visits,positive nucleic acid and antigen test results,inpatients,and severe cases in sec-ondary or above hospitals),population nucleic acid test monitoring(weekly person-times and positivity rates of single-tube tests from the provincial system),sentinel hospital monitoring(weekly proportion of influenza-like illness visits at 18 sentinel hospitals and re-lated viral testing data),and monitoring of novel coronavirus variants(weekly systematic collection of genomic sequences of local and imported cases).Line charts were plotted weekly,and time series analysis,molecular epidemiological methods,and an improved SEIAR model were used to simulate epidemic spread.During the study period,the COVID-19 epidemic in Fujian Province exhibited three distinct stages.In the infection peak stage(52nd week of 2022),the provincial fever clinic visits reached 606 893 person-times,and a 49.2%positivity rate in population single-tube nucleic acid tests and 63.8%positivity rate in sentinel hospital monitoring were observed.In the medical load peak stage(2nd week of 2023),274 460 inpatients and 28 487 severe cases were recorded.In the epidemic decline stage(4th to 5th weeks of 2023),fever clinic visits decreased by 96.3%with respect to the peak,the single-tube nucleic acid test positivity rate decreased to 6.3%,and the sentinel hospital COVID-19 nucleic acid test positivity rate was 6.4%.All 508 sequenced local cases were Omicron variants,predominantly BA.5.2 and its sub-lineages(67.4%).Among 56 imported se-quenced cases,BA.5.2 and its sub-lineages accounted for 50.0%,and 16.1%comprised nine variants of interest including XBB and BQ.The model predicted the infection peak in the 52nd week of 2022,whereas the hospitalization peak lagged by approximately 10.6 days.Multi-source data monitoring revealed a three-stage development of the COVID-19 epidemic in Fujian.The BA.5.2 strain was dominant during the epidemic.The combination of multi-source monitoring data and modeling provides important references for epi-demic prevention and control,and highlights the need to improve the monitoring system in follow-up.

To analyze the epidemiological characteristics of COVID-19 in Fujian Province from the 49th week of 2022 to the 5th week of 2023,after further optimization of China's COVID-19 prevention and control measures on December 7,2022(the 49th week of 2022),this study used multi-dimensional surveillance data to dynamically assess population infection levels and their changing trends.The aim of the study was to provide a scientific basis for early warning of epidemic risk,medical resource allocation,and evalu-ation of socio-economic impact.A multi-source data surveillance system was constructed,encompassing surveillance of fever clinics at medical institutions(weekly collection of visits,positive nucleic acid and antigen test results,inpatients,and severe cases in sec-ondary or above hospitals),population nucleic acid test monitoring(weekly person-times and positivity rates of single-tube tests from the provincial system),sentinel hospital monitoring(weekly proportion of influenza-like illness visits at 18 sentinel hospitals and re-lated viral testing data),and monitoring of novel coronavirus variants(weekly systematic collection of genomic sequences of local and imported cases).Line charts were plotted weekly,and time series analysis,molecular epidemiological methods,and an improved SEIAR model were used to simulate epidemic spread.During the study period,the COVID-19 epidemic in Fujian Province exhibited three distinct stages.In the infection peak stage(52nd week of 2022),the provincial fever clinic visits reached 606 893 person-times,and a 49.2%positivity rate in population single-tube nucleic acid tests and 63.8%positivity rate in sentinel hospital monitoring were observed.In the medical load peak stage(2nd week of 2023),274 460 inpatients and 28 487 severe cases were recorded.In the epidemic decline stage(4th to 5th weeks of 2023),fever clinic visits decreased by 96.3%with respect to the peak,the single-tube nucleic acid test positivity rate decreased to 6.3%,and the sentinel hospital COVID-19 nucleic acid test positivity rate was 6.4%.All 508 sequenced local cases were Omicron variants,predominantly BA.5.2 and its sub-lineages(67.4%).Among 56 imported se-quenced cases,BA.5.2 and its sub-lineages accounted for 50.0%,and 16.1%comprised nine variants of interest including XBB and BQ.The model predicted the infection peak in the 52nd week of 2022,whereas the hospitalization peak lagged by approximately 10.6 days.Multi-source data monitoring revealed a three-stage development of the COVID-19 epidemic in Fujian.The BA.5.2 strain was dominant during the epidemic.The combination of multi-source monitoring data and modeling provides important references for epi-demic prevention and control,and highlights the need to improve the monitoring system in follow-up.

Objective To compare the consistency of voice parameters collected by commonly used smart-phone brands in China and professional recording equipment,and to study whether smartphones can be used for voice research.Methods A total of 67 normal subjects were selected for voice recording using six different smart-phone brands(via the"Active Health"screening APP from the National Key Research and Development Program)and professional recording equipment.Acoustic voice parameters such as fundamental frequency parameters,fre-quency variation parameters,amplitude variation parameters,formant parameters,and energy parameters were ex-tracted from the vowels/a/,/i/,and/u/.A one-way ANOVA test and Tukey's HSD post-hoc comparisons were conducted on the independent variables.Results There were no significant differences between smartphones and professional recording equipment in terms of fundamental frequency parameters such as median F0,mean F0,max F0 and min F0;frequency parameters such as jitter local,jitter local absolute,jitter rap,jitter ppq5,and jitter ddp;amplitude parameters such as shimmer local,shimmer local dB,shimmer apq3,shimmer apq5,shimmer apq11,and shimmer dda;and formant parameters such as F1,F2,F3,and F4.However,significant differences were found in energy parameters such as mean energy(F=31.171,P＜0.001),max energy(F=34.193,P＜0.001),and min energy(F=5.453,P＜0.001)between smartphones and professional recording equipment.Conclusion The smartphones using the"Active Health"screening app from the National Key Research and Development Program can replace professional recording equipment for voice research.However,caution should be exercised when selec-ting energy-related acoustic parameters.

Objective To analyze the imaging features of cerebral small vessel disease in patients with type 2 diabetes mellitus by multimodal MRI.Methods The clinical data of 160 patients with cerebral small vessel disease admitted to our hospital from January to December 2020 were retrospectively analyzed.According to whether they were complicated with type 2 diabetes mellitus,they were divided into the diabetic group and the non-diabetic group,with 80 cases in each group.Both groups underwent multimodal MRI scans.And the severity of lacunar infarction,the severity of subcortical and periventricular white matter lesions,white matter integral and cerebral microbleeds of patients in the two groups were compared.Results The severity of lacunar infarction(χ2=34.076,P=0.001),subcortical white matter lesions(χ2=25.000,P=0.001),periventricular white matter lesions(χ2=22.895,P=0.001)and white matter integral(t=12.370,P=0.001)of patients in the diabetic group were significantly higher than those in the non-diabetic group.No cerebral microbleeds were detected in either group of patients.Conclusion Patients with cerebral small vessel disease and type 2 diabetes mellitus show characteristic multimodal MRI changes.The increase in the number of lacunar infarction lesions and the aggravation of white matter lesions can be used as the characteristic imaging basis for the diagnosis of type 2 diabetes mellitus related cerebral small vessel disease.

Objective:To compare four postmastectomy radiotherapy plans with different arc angles for left-sided breast cancer prepared using deep inspiration breath hold (DIBH) technique, in order to explore the feasibility of selecting optimal arc angles based on the parameters of patients′ anatomical structures.Methods:A total of 51 patients who underwent postmastectomy radiotherapy for left-sided breast cancer using DIBH at the Second Affiliated Hospital of Guangxi Medical University and the First Affiliated Hospital of Guangzhou Medical University were selected. Among these, 40 patients selected using simple random sampling were treated with four radiotherapy plans with different arc angles, labeled as SV120, SV100, SV80, and SV60, while the remaining 11 patients were treated with only the SV60 plans. The dose parameters of the target volumes (TVs) and organs at risk (the heart, lungs, and contralateral breast), as well as the beam-on times of individual arcs, in these plans were compared. The parameters of the anatomical structures (i.e., the heart, lung, and breast) of the 51 patients, including PHeart, PLungl, and PBreast, were extracted. Taking these parameters as independent variables and the quality of the SV60 plans as the dependent variable, fitting was conducted using P(SV60)—a multivariate logistic regression model—based on a training set (45 patients) and a testing set (six patients). The classification threshold of the plans was set at 0.5. Results:As the arc angle increased, the plans exhibited improved modulation capabilities for TVs and the left lung. However, the V5 of the right lung and the average beam-on time of a single arc also increased. The SV120 plans demonstrated significantly better V107% of planning target volume (PTV; 6.84%), homogeneity index (HI; 0.13), conformity index (CI; 0.81), and mean dose to the left lung (1 330.97 cGy) compared to the other three types of plans, with statistically significant differences ( W = 0-99, P < 0.001). The SV60 plans displayed lower mean doses to the contralateral breast (198.97 cGy) and the heart (440.35 cGy) and lower V5 of the right lung (0.27%) than the other three types of plans, with significant differences in V5 of the right lung and the mean dose to the contralateral breast ( W = 0-157, P < 0.001). In contrast, no significant difference was observed in these parameters (except for V5 of the right lung) among the other three types of plans. The four types of plans exhibited average beam-on times of individual arcs of 22.0, 19.1, 16.1, and 14.4 s, respectively, with statistically significant differences ( χ2= 93.0, P < 0.001). A multivariate logistic regression model revealed that PLungl, PHeart, and PBreast were negatively correlated with the quality of the SV60 plans ( t = -64.84, -28.20, -24.45, P<0.001). This model yielded an accuracy of 93.33% and a precision of 92.86% in the training set, while its accuracy and precision reached 100% in the testing set. Conclusions:For patients treated with postmastectomy radiotherapy for left-sided breast cancer using DIBH, it is feasible to select appropriate arc angles based on patients’ anatomical structures.

In proton therapy,prompt gamma-ray imaging is considered as one of the most promising methods for assessing proton beam range.Prompt gamma-ray imaging detector evaluates the proton beam range based on the prompt gamma-ray distribution obtained by the prompt gamma-ray imaging system,which enables high-precision measurement of the proton beam range.Herein a proton beam range verification algorithm is designed for the newly developed prototype of the range verification detector(pixelated prompt gamma-ray imaging detector),which verifies the range estimation accuracy of the prototype for different phantoms and different energies of homogeneous media through Monte Carlo simulation.The results show that the accuracy of the proton beam range verification algorithm is within 0.5 mm of the safety margin error of the Bragg peak,and the measurement accuracy is significantly improved with the increase of the number of protons,indicating that the prototype algorithm is feasible for proton beam range verification.

Objective To investigate the cerebro protective effect of pre-filled sivelestat sodium during cardiopulmonary bypass(CPB)in patients with valve replacement surgery.Methods From January 2022 to December 2023,104 patients were included and randomly divided into experimental group(n=54)and control group(n=50).The sivelestat sodium 4.8mg/kg was mixed to the pre-filled solutions for CPB in experimental group,while an equal amount of physiological saline solution was mixed in control group.Internal jugular venous blood was collected 5 minutes after anesthesia induction and 10 minutes,4 hours,24 hours,and 72 hours after the aortic cross-clamp was released to detect plasma S-100 protein and interleukin(IL)-6 concentrations.Data on operation time,CPB time,mean arterial pressure,and hematocrit were also recorded.Results There were no statistical differences in operation time,CPB time,assisted circulation time,mean arterial pressure,and hematocrit between two groups(P＞0.05).After anesthesia,there were no significant differences in S-100 protein and IL-6 between two groups(P＞0.05).After,the plasma concentrations of S-100 protein and IL-6 increased in both groups,but the concentrations of S-100 protein and IL-6 in experimental group were significantly lower than those in control group at early stages(10 minutes,4 hours,24 hours)after the aortic cross-clamp was released(P＜0.05).Conclusion Sivelestat sodium,as a cerebro protective drug in CPB heart surgery,can reduce the levels of S-100 protein and IL-6,demonstrating a protective effect on central nervous cells.

Therapeutic cancer vaccines have experienced a resurgence over the past ten years. Cancer vaccines are typically designed to enhance specific stages of the cancer-immunity cycle, primarily by activating the immune system to promote tumor regression and overcome immune resistance. In this review, we summarize the significant recent advancements in cancer immunotherapy based on the cancer-immunity cycle, including the effector cell function, infiltration, initiation, and exhaustion. We summarize the identification of tumor antigens and their delivery through cancer vaccines. We discuss how specific stages of the cancer-immunity cycle have been leveraged to augment anti-tumor immune responses and improve vaccine efficacy. Additionally, the impact of aging and myelosuppression, two prevalent forms of immunological stress, on the effectiveness of therapeutic cancer vaccines is deliberated. Finally, we summarize the current status of various therapeutic cancer vaccines at different clinical trial phases.
Humans ; Cancer Vaccines/therapeutic use* ; Neoplasms/therapy* ; Immunotherapy/methods* ; Antigens, Neoplasm/immunology* ; Animals

Under the background of carbon peaking and carbon neutrality goals, the Ministry of Ecology and Environment, together with 15 national ministries and commissions, has formulated the Implementation Plan on Establishing a Carbon Footprint Management System, and it is urgent for traditional Chinese medicine(TCM) pharmaceutical enterprises to carry out research on carbon footprint accounting methods of related products. Based on the life cycle assessment(LCA) theory, taking mulberry leaf extract produced by a certain enterprise as an example, this study analyzed the carbon footprint of TCM extracts during the life cycle. The results show that for every 1 kg of product produced, the carbon emissions from the stages of raw material acquisition, transportation, and extract production are-20.569, 1.205, and 173.577 kgCO_2eq(CO_2 equivalent), respectively. The carbon footprint of the product is 154.213 kgCO_2eq·kg~(-1). In addition, the carbon emission is the highest in the production stage, in which the consumption of ethanol solvents makes the greatest contribution to the carbon footprint, accounting for 25.71%, more than one-fourth of the total carbon footprint. The second contribution was from the treatment process of TCM residues, accounting for 19.67%, closely followed by wastewater treatment(17.71%), the consumption of hot steam(17.43%), and drinking water(16.90%). The consumption of electric power and packaging materials has a smaller carbon emission of 2.58%. In particular, the carbon emission caused by the consumption of packaging materials is only 0.04%, which is negligible. The results of the study are expected to provide a reference for TCM enterprises to carry out research on the carbon footprint of products, offer ideas for collaborative innovation in reducing pollution and carbon emissions throughout the entire industry chain of TCM, and develop new quality productivity of modern TCM industry based on green and low-carbon manufacturing.
Morus/chemistry* ; Plant Leaves/chemistry* ; Carbon Footprint ; Drugs, Chinese Herbal/chemistry* ; Plant Extracts/analysis* ; Medicine, Chinese Traditional

Objective To investigate the cerebro protective effect of pre-filled sivelestat sodium during cardiopulmonary bypass(CPB)in patients with valve replacement surgery.Methods From January 2022 to December 2023,104 patients were included and randomly divided into experimental group(n=54)and control group(n=50).The sivelestat sodium 4.8mg/kg was mixed to the pre-filled solutions for CPB in experimental group,while an equal amount of physiological saline solution was mixed in control group.Internal jugular venous blood was collected 5 minutes after anesthesia induction and 10 minutes,4 hours,24 hours,and 72 hours after the aortic cross-clamp was released to detect plasma S-100 protein and interleukin(IL)-6 concentrations.Data on operation time,CPB time,mean arterial pressure,and hematocrit were also recorded.Results There were no statistical differences in operation time,CPB time,assisted circulation time,mean arterial pressure,and hematocrit between two groups(P＞0.05).After anesthesia,there were no significant differences in S-100 protein and IL-6 between two groups(P＞0.05).After,the plasma concentrations of S-100 protein and IL-6 increased in both groups,but the concentrations of S-100 protein and IL-6 in experimental group were significantly lower than those in control group at early stages(10 minutes,4 hours,24 hours)after the aortic cross-clamp was released(P＜0.05).Conclusion Sivelestat sodium,as a cerebro protective drug in CPB heart surgery,can reduce the levels of S-100 protein and IL-6,demonstrating a protective effect on central nervous cells.