ObjectiveTo observe the effects of Yiqi Huoxue Jiedu formula（YHJF） on immune cell exhaustion in the spleen of septic mice and to explore and validate its potential intervention targets. MethodsMice were randomly divided into the sham-operated， model， low-dose YHJF（4.1 g·kg^-1）， and high-dose YHJF（8.2 g·kg^-1） groups. Except for the sham-operated group， a cecal ligation and puncture（CLP） procedure was performed to establish a mouse sepsis model. The treatment groups received oral administration of the corresponding doses， while the sham-operated and model groups received an equal volume of physiological saline. After the intervention， the 7-day survival rate of each group was recorded， and spleen samples were collected 72 h post-intervention， and the spleen index was calculated. Terminal deoxynucleotidyl transferase deoxyuridine triphosphate（dUTP） nick end labeling（TUNEL） staining was used to detect apoptosis in spleen cells. Enzyme-linked immunosorbent assay（ELISA） was performed to measure the levels of interleukin（IL）-4 and IL-10 in the serum. Transcriptomics and metabolomics were used to screen for differentially expressed genes（DEGs） and differential metabolites in the spleen， followed by bioinformatics analysis to identify key targets. Real-time quantitative polymerase chain reaction（Real-time PCR）， flow cytometry， and multiplex immunofluorescence were used to verify the expressions of key genes and proteins. ResultsThe high-dose YHJF group significantly improved the 7-day survival rate of septic mice（P0.05）. Compared with the sham-operated group， the model group showed a significant increase in apoptosis of spleen cells and a decrease in the spleen index at 72 h post-modeling， with markedly elevated peripheral serum IL-4 and IL-10 levels（P0.01）. Compared with the model group， the high-dose YHJF group showed a reduction in apoptosis of spleen cells， an increase in the spleen index， and a significant decrease in peripheral serum IL-4 and IL-10 levels（P0.05）. Spleen transcriptomics identified 255 DEGs between groups， potentially serving as intervention targets for YHJF. Gene Ontology（GO） enrichment analysis revealed that DEGs were mainly involved in biological processes such as natural killer（NK） cell-mediated positive immune regulation， cell killing， cytokine production， positive regulation of innate immune cells， and interferon production. Kyoto Encyclopedia of Genes and Genomes（KEGG） pathway enrichment analysis showed that DEGs were mainly involved in cytokine-cytokine receptor interactions， viral protein interactions with cytokines and cytokine receptors， chemokine signaling pathway， and nuclear transcription factor-κB（NF-κB） signaling pathway. Protein-protein interaction（PPI） network analysis identified CD160， granzyme B（GZMB）， and chemokine ligand 4（CCL4） as key targets for YHJF in treating sepsis. Metabolomics identified 46 differential metabolites that were significantly reversed by YHJF intervention， and combined transcriptomics and metabolomics analysis identified 17 differential metabolites closely related to CD160. Pathway enrichment revealed that these metabolites were mainly involved in glycerophospholipid metabolism， arachidonic acid metabolism， glycosylphosphatidylinositol（GPI） anchor biosynthesis， linoleic acid metabolism， and α-linolenic acid metabolism pathways. Verification results showed that， compared with the sham-operated group， the model group exhibited significantly elevated CD160 mRNA expression level in the spleen， along with markedly decreased CCL4 and GZMB mRNA expression， and had a significant increase in CD160 expression on the surface of natural killer T（NKT） cells in the spleen（P0.01）. Compared with the model group， the high-dose YHJF group had a significant decrease in CD160 mRNA expression in the spleen， a significant increase in CCL4 and GZMB mRNA expressions. Further flow cytometry and immunofluorescence revealed that compared with the sham-operated group， CD160 expression on the surface of splenic NKT cells in the model group was significantly increased（P0.01）， while high-dose YHJF intervention significantly reduced CD160 expression（P0.01）. ConclusionYHJF may alleviate NKT cell exhaustion in sepsis by downregulating the expression of the negative co-stimulatory molecule CD160， and this regulatory effect is closely related to fatty acid metabolism pathways. This study provides new insights and targets for further exploration of strengthening vital Qi and detoxifying strategy to improve immune cell exhaustion in acute deficiency syndrome of sepsis.

ObjectiveTo observe the effects of Yiqi Huoxue Jiedu formula（YHJF） on immune cell exhaustion in the spleen of septic mice and to explore and validate its potential intervention targets. MethodsMice were randomly divided into the sham-operated， model， low-dose YHJF（4.1 g·kg^-1）， and high-dose YHJF（8.2 g·kg^-1） groups. Except for the sham-operated group， a cecal ligation and puncture（CLP） procedure was performed to establish a mouse sepsis model. The treatment groups received oral administration of the corresponding doses， while the sham-operated and model groups received an equal volume of physiological saline. After the intervention， the 7-day survival rate of each group was recorded， and spleen samples were collected 72 h post-intervention， and the spleen index was calculated. Terminal deoxynucleotidyl transferase deoxyuridine triphosphate（dUTP） nick end labeling（TUNEL） staining was used to detect apoptosis in spleen cells. Enzyme-linked immunosorbent assay（ELISA） was performed to measure the levels of interleukin（IL）-4 and IL-10 in the serum. Transcriptomics and metabolomics were used to screen for differentially expressed genes（DEGs） and differential metabolites in the spleen， followed by bioinformatics analysis to identify key targets. Real-time quantitative polymerase chain reaction（Real-time PCR）， flow cytometry， and multiplex immunofluorescence were used to verify the expressions of key genes and proteins. ResultsThe high-dose YHJF group significantly improved the 7-day survival rate of septic mice（P0.05）. Compared with the sham-operated group， the model group showed a significant increase in apoptosis of spleen cells and a decrease in the spleen index at 72 h post-modeling， with markedly elevated peripheral serum IL-4 and IL-10 levels（P0.01）. Compared with the model group， the high-dose YHJF group showed a reduction in apoptosis of spleen cells， an increase in the spleen index， and a significant decrease in peripheral serum IL-4 and IL-10 levels（P0.05）. Spleen transcriptomics identified 255 DEGs between groups， potentially serving as intervention targets for YHJF. Gene Ontology（GO） enrichment analysis revealed that DEGs were mainly involved in biological processes such as natural killer（NK） cell-mediated positive immune regulation， cell killing， cytokine production， positive regulation of innate immune cells， and interferon production. Kyoto Encyclopedia of Genes and Genomes（KEGG） pathway enrichment analysis showed that DEGs were mainly involved in cytokine-cytokine receptor interactions， viral protein interactions with cytokines and cytokine receptors， chemokine signaling pathway， and nuclear transcription factor-κB（NF-κB） signaling pathway. Protein-protein interaction（PPI） network analysis identified CD160， granzyme B（GZMB）， and chemokine ligand 4（CCL4） as key targets for YHJF in treating sepsis. Metabolomics identified 46 differential metabolites that were significantly reversed by YHJF intervention， and combined transcriptomics and metabolomics analysis identified 17 differential metabolites closely related to CD160. Pathway enrichment revealed that these metabolites were mainly involved in glycerophospholipid metabolism， arachidonic acid metabolism， glycosylphosphatidylinositol（GPI） anchor biosynthesis， linoleic acid metabolism， and α-linolenic acid metabolism pathways. Verification results showed that， compared with the sham-operated group， the model group exhibited significantly elevated CD160 mRNA expression level in the spleen， along with markedly decreased CCL4 and GZMB mRNA expression， and had a significant increase in CD160 expression on the surface of natural killer T（NKT） cells in the spleen（P0.01）. Compared with the model group， the high-dose YHJF group had a significant decrease in CD160 mRNA expression in the spleen， a significant increase in CCL4 and GZMB mRNA expressions. Further flow cytometry and immunofluorescence revealed that compared with the sham-operated group， CD160 expression on the surface of splenic NKT cells in the model group was significantly increased（P0.01）， while high-dose YHJF intervention significantly reduced CD160 expression（P0.01）. ConclusionYHJF may alleviate NKT cell exhaustion in sepsis by downregulating the expression of the negative co-stimulatory molecule CD160， and this regulatory effect is closely related to fatty acid metabolism pathways. This study provides new insights and targets for further exploration of strengthening vital Qi and detoxifying strategy to improve immune cell exhaustion in acute deficiency syndrome of sepsis.

Objective Our study systematically analyzed the utilization status and influencing factors of health management services for floating elderly patients with chronic diseases in China,and compares the differences between urban and rural areas,in order to provide countermeasures and suggestions for realizing the equalization of basic public health services and improving the quality of life and health level of floating elderly population.Methods We used the dynamic monitoring survey data of China's floating population in 2017,floating elderly aged 60 and above with chronic diseases diagnosed by doctors were selected as the research objects.Under the guidance of social ecological theory,the binary logistic regression model was used to analyze the influencing factors of the utilization of health management services by floating elderly patients with chronic diseases in the whole,rural and urban areas.Results Among the 2158 floating elderly patients with chronic diseases,the utilization rate of health management services was 46.6%,47.2%in rural areas and 45.9%in urban areas.The results of binary logistic regression showed that gender,age,self-rated health status,two-week visiting rate,family monthly income,whether they had heard of national basic public health projects,flow range,flow time and inflow region had an impact on the utilization of health management services by floating elderly patients with chronic diseases(P<0.05).Conclusion The utilization rate of health management services for floating elderly patients with chronic diseases in China is low.Service utilization is affected by multidimensional factors such as personal characteristics,individual behavior,interpersonal level,social environment and mobility characteristics,and there are some differences between urban and rural areas.

Promoting medical preventive integration and improving its collaborative mechanism is an inevitable requirement for achieving the transformation of China′s medical and health care system from " disease centered" to " people′s health centered" and providing comprehensive and comprehensive health services for the people.This study established a research framework based on the SFIC model on the basis of clarifying the collaborative subjects of medical preventive integration, sorted out the dilemma of medical preventive integration collaborative governance in China from five aspects, including external environment, starting conditions, facilitative leadership, institutional design and collaborative process.In order to break the dilemma of medical preventive integration and promote collaborative governance among multiple subjects, the authors proposed such optimization strategies, including further improving relevant laws, regulations, and policy systems, filling resource gaps, attracting multiple entities to participate, providing reference for promoting China′s medical preventive integration work.

Objective:To explore the problems of medical and preventive integration at primary healthcare institutions in China, for references for promoting the development of medical and preventive integration in China.Methods:This study searched for literatures covering the integration of medical and preventive at primary healthcare institutions on CNKI, Wanfang, and VIP databases(from the establishment of the database until March 1, 2023), and extracted text mentioning problems of the medical and preventive integration in primary healthcare institutions. The macro model of the health system was used for problem classification analysis, while the social network analysis method was used to measure the network density, point centrality, and intermediary centrality of the problem, and determine the key issues.Results:A total of 25 papers were included, and 28 problems of medical and preventive integration at primary medical and health institutions were extracted, including 6 problems at the external environment level, 15 problems at the structural level, 6 problems at the process level, and 1 problem at the result level. The results of social network analysis showed that the network density of these problems was 0.71. The point centrality and intermediary centrality of key problems were both high, including the lack of incentive mechanisms for medical and prevention integration (point centrality=69, intermediary centrality=21.44), fragmentation of health information systems(68, 15.70), insufficient awareness of medical and prevention integration among grassroots personnel(65, 17.47), shortage of talent at primary medical and health institutions(64, 11.69), weak service capabilities of primary medical institutions(50, 19.23), and insufficient information sharing(48, 15.80).Conclusions:A variety of problems were found in the integration of medical and preventive at primary medical and health institutions in China, which were closely interrelated. It was urgent to solve six key problems, including the lack of incentive mechanisms, talent shortage, and information system fragmentation, etc. It was suggested that primary medical and health institutions should further improve the incentive mechanism for medical and preventive integration, strengthen the construction of grassroots health talent teams, promote health information exchange and sharing, and enhance the awareness of medical and preventive integration.

Objective: To investigate HPV vaccine hesitation and associated factors among female college students in Weifang, and to provide a suggestions for improving the coverage rate of HPV vaccine among female college students. Methods: The questionnaire of HPV vaccine hesitancy of female college students was designed. By adopting the stratified sampling method, the survey was conducted among female students at one medical university and three nonmedical universities in Weifang. Chi-square test and Logistic regression were used to analyze the influencing factors of vaccine hesitation. Results: Female college students who had high risk perception toward vaccine (OR=4.15, 95%CI=1.55-11.10) and those who were angry about the sideeffects of the vaccine (OR=3.63, 95%CI=1.95-6.75) were hesitate to vaccinate against HPV. Female college students who believed long protection period of HPV vaccine (OR=0.08, 95%CI=0.04-0.17), that women had a high probability of cervical cancer (OR=0.44, 95%CI=0.21-0.90) and that the knowledge of HPV vaccine scored >6 (OR=0.31, 95%CI=0.15-0.67) were more likely to receive HPV vaccine. Conclusion High risk perception of vaccines and anger at vaccine adverse reactions are important factors affecting HPV vaccines for female college students. Our findings call for strategic role of the state, school-based health education as well as medical professional guidance in lowering HPV vaccination hesitation among fenale college sutdents.

In order to solve the saturation distortion phenomenon of R component in fingertip video image, this paper proposes an iterative threshold segmentation algorithm, which adaptively generates the region to be detected for the R component, and extracts the human pulse signal by calculating the gray mean value of the region to be detected. The original pulse signal has baseline drift and high frequency noise. Combining with the characteristics of pulse signal, a zero phase digital filter is designed to filter out noise interference. Fingertip video images are collected on different smartphones, and the region to be detected is extracted by the algorithm proposed in this paper. Considering that the fingertip's pressure will be different during each measurement, this paper makes a comparative analysis of pulse signals extracted under different pressures. In order to verify the accuracy of the algorithm proposed in this paper in heart rate detection, a comparative experiment of heart rate detection was conducted. The results show that the algorithm proposed in this paper can accurately extract human heart rate information and has certain portability, which provides certain theoretical help for further development of physiological monitoring application on smartphone platform.

Objective:To explore the clinical safety of lopinavir/ritonavir (LPV/r) by mining the risk signals of adverse events (AEs) related to LPV/r for the safe application of the drug in the treatment of novel coronavirus pneumonia (COVID-19).Methods:The risk signals related to LPV/r in AE reports of US FDA Adverse Event Reporting System (FAERS) from the first quarter of 2010 to the third quarter of 2019 were mined by reporting odds ratio ( ROR). An AE with reports more than 3 and 95% confidence interval ( CI) lower limit of ROR greater than 1 was defined as a positive signal. AEs were counted and classified using the preferred system organ class (SOC) and preferred term (PT) of Medical Dictionary for Regulatory Activities (MedDRA). The PTs of top 50 adverse event reports and signal strength were selected and analyzed. Results:From the first quarter of 2010 to the third quarter of 2019, a total of 13 335 AE reports with LPV/r as the primary suspicious drug were reported in the FAERS database. Four hundred and fifty-five AE risk signals with reports more than 3 and the 95 %CI lower limit of ROR greater than 1 were detected, involving 7 718 AE reports. The top 2 system organs involved in AE reports were "injury, poisoning and procedural complications" [13.6% (1 051/7 718)] and "pregnancy, puerperium and perinatal conditions" [11.7% (899/7 718)]. However, 998 (95.0%) of 1051 AE reports involved in "injury, poisoning and procedural complications" were related to drug exposure during pregnancy. The system organ with the highest signals was "congenital, familial and genetic disorders" [16.3% (74/455)]. In addition, 144 AEs caused by drug interactions were detected, which ranked the 7th in the AE reports. Conclusions:The risk signals of fetal, neonatal and infant abnormalities related to LPV/r during pregnancy were detected, suggesting that attention should be paid to the risk of using LPV/r in pregnant women and infants. The interaction between LPV/r and other drugs was also worthy of attention.

Objective:To explore the clinical safety of lopinavir/ritonavir (LPV/r) by mining the risk signals of adverse events (AEs) related to LPV/r for the safe application of the drug in the treatment of novel coronavirus pneumonia (COVID-19).Methods:The risk signals related to LPV/r in AE reports of US FDA Adverse Event Reporting System (FAERS) from the first quarter of 2010 to the third quarter of 2019 were mined by reporting odds ratio ( ROR). An AE with reports more than 3 and 95% confidence interval ( CI) lower limit of ROR greater than 1 was defined as a positive signal. AEs were counted and classified using the preferred system organ class (SOC) and preferred term (PT) of Medical Dictionary for Regulatory Activities (MedDRA). The PTs of top 50 adverse event reports and signal strength were selected and analyzed. Results:From the first quarter of 2010 to the third quarter of 2019, a total of 13 335 AE reports with LPV/r as the primary suspicious drug were reported in the FAERS database. Four hundred and fifty-five AE risk signals with reports more than 3 and the 95 %CI lower limit of ROR greater than 1 were detected, involving 7 718 AE reports. The top 2 system organs involved in AE reports were "injury, poisoning and procedural complications" [13.6% (1 051/7 718)] and "pregnancy, puerperium and perinatal conditions" [11.7% (899/7 718)]. However, 998 (95.0%) of 1051 AE reports involved in "injury, poisoning and procedural complications" were related to drug exposure during pregnancy. The system organ with the highest signals was "congenital, familial and genetic disorders" [16.3% (74/455)]. In addition, 144 AEs caused by drug interactions were detected, which ranked the 7th in the AE reports. Conclusions:The risk signals of fetal, neonatal and infant abnormalities related to LPV/r during pregnancy were detected, suggesting that attention should be paid to the risk of using LPV/r in pregnant women and infants. The interaction between LPV/r and other drugs was also worthy of attention.

LC-MS/MS method was used to simultaneously determine anti-oxidative active catechins EGCG, ECG, EGC and EC in plasma of rats treated with tea polyphenols (TP). The integrated plasma concentration (C') of TP was calculated by means of self-defined weighing coefficient based on percent AUC of individual components, thereby assessing integrated pharmacokinetic (PK) parameters of TP via log C'-T curve. The anti-free radical effects of TP were estimated using inhibitory rate of drug-containing serum collected at different times from rats against in vitro lipid peroxidation of mouse liver homogenate. The obtained E-T curves were used to calculate anti-free radical pharmacodynamic (PD) parameters of TP. E-logC and E-log C' plots and linear regression were carried out in order to obtain the correlation coefficient (R2). The results indicated that the log C'-T curves of TP, which could be best described by three-compartment model, corresponded to elimination rule of iv administration of drugs. The integrated PK parameters showed that TP was distributed in body rapidly and widely, and eliminated from deep compartment slowly. From comparison of R2 values and consistence of C'-T course and E-T course, it was evident that TP integrated PK behaviors correlated much better with its PD behaviors than individual active components, and thus demonstrated that integrated PK parameters could characterize to maximal extent holistic disposition of Chinese herbal drugs and reflect residence properties of holistic effective substances in biological body.