ObjectiveTo establish a highly specific and sensitive triplex TaqMan quantitative PCR method for the detection of mouse hepatitis virus (MHV), mouse parvovirus (MPV), and reovirus type 3 (Reo-3) in laboratory mice. MethodsRecombinant plasmid standards were constructed using conserved genomic regions of the three target viruses. Specific primers and probes were designed, and a triplex TaqMan quantitative PCR (qPCR) system was optimized through preliminary experiments. Sensitivity was evaluated using 10-fold serial dilutions (10¹-10⁷ copies/μL). Intra- and inter-assay repeatability were assessed via reproducibility experiments. ResultsA strong linear correlation (R ²>0.99) was observed between copy number and Ct value at template concentrations of 10²-10⁷ copies/μL. Intra-assay and inter-assay coefficients of variation (CV) were both below 5%. No cross-reactivity was observed with mouse cytomegalovirus (MCMV), vesicular stomatitis virus (VSV), Sendai virus (SeV), or pneumonia virus of mice (PVM). ConclusionThe triplex TaqMan quantitative PCR method established in this study has high sensitivity, good repeatability, and strong specificity. It enables the rapid, specific, and sensitive detection of MHV, MPV, and Reo-3, allows the simultaneous detection of multiple pathogens in a single tube, and can be applied to the detection of clinical samples from laboratory animals and to epidemiological investigations, thereby providing effective scientific and technological support for the prevention and control of viral infection and the interruption of transmission.

Objective To enhance the efficiency and accuracy of post-marketing safety monitoring and evaluation of drugs in China by studying large language models-based patient medical record pharmacovigilance profiling techniques,providing scientific methods and technical support to ensure the safe use of drugs for patients.Methods This study constructs a pharmacovigilance profile that includes individual patient differences,medication details,and adverse reaction manifestations.It enhances a large language model with a knowledge graph in the field of pharmacovigilance and designs targeted prompts to guide the model to output pharmacovigilance profiles.Results Large language models demonstrate significant advantages in active monitoring,effectively processing and analyzing medical text data,and improving the monitoring and prediction capabilities of drug adverse reactions.Through the design of prompts,the model can more accurately depict patient pharmacovigilance profiles,providing decision support for medical professionals.Conclusions The study of large language model-based patient medical record pharmacovigilance profiling technology provides scientific evidence and technical support for the early detection and prevention of drug adverse reactions,helping to reduce medical costs,improve medical outcome prognoses,and opens new paths to ensure patient drug safety.

BACKGROUND:The progression of chronic oral diseases is closely related to the continuous inflammatory response.Anti-inflammatory peptides are expected to become a substitute for traditional anti-inflammatory drugs due to their rich sources,easy absorption by the body and low side effects.OBJECTIVE:To review the types,anti-inflammatory mechanisms,and their application in oral related diseases.METHODS:CNKI,PubMed,and Web of Science were retrieved,with"polypeptide,anti-inflammatory,immunomodulation,oral inflammatory diseases"as Chinese and English search terms.111 articles related to the classification of anti-inflammatory peptides,anti-inflammatory mechanisms,and application of oral inflammatory diseases were selected for review.RESULTS AND CONCLUSION:(1)Anti-inflammatory peptides are abundant in nature,which can be extracted from plants,animals,and microorganisms.In addition to naturally occurring peptides and protein hydrolysates,peptides synthesized by chemical modification,computer simulation design,and genetic recombination technology can also exert anti-inflammatory effects.The composition,position,and properties of amino acids affect their anti-inflammatory activity.(2)Because the anti-inflammatory mechanism of anti-inflammatory peptides is still unclear,the activity verification is mostly cell experiments,and there is a lack of animal models,clinical trials and other further studies.(3)In the treatment of oral inflammatory diseases(including periodontitis,oral mucositis,caries,pulpitis,suppurative osteomyelitis of the jaw,and peri-implantitis),anti-inflammatory peptides can inhibit the release of inflammatory factors such as interleukin 6,interleukin 1β,and tumor necrosis factor α in oral tissues,regulate inflammatory responses,improve the chronic inflammatory environment,reduce tissue destruction and structural loss,and promote bone tissue regeneration,providing new ideas for the treatment of oral inflammatory diseases.

Heart failure(HF)is the final stage of various cardiovascular diseases.The period of high incidence of death and readmission in patients with HF within 2 to 3 months after discharge is defined as the"vulnerable period".The management of vulnerable period focuses on how to identify high-risk groups with the need of close follow-up and more active intervention.Despite the application of various effective medical treatment and nursing strategies,readmissions in HF patients remain high,which not only poses a significant financial burden on the healthcare system but also carries the prognostic impact of worsening survival associated with repeated hospitalizations.Remote monitoring is a promising approach for early detection of worsening HF and intervention before apparent decompensation.Remote monitoring includes patient reporting of remote vital signs monitoring,wearable devices,information from cardiac implantable electronic devices and invasive remote hemodynamic monitoring.Remote cardiac monitoring devices have developed rapidly.A wide variety of monitoring devices have been developed,and trials have been conducted to explore the availability and safety of remote monitoring devices and their effectiveness in reducing the risk of HF re-hospitalization.Wearable devices are easy to be accepted by patients because of their non-invasive,portable,cost and other factors.

BACKGROUND:The progression of chronic oral diseases is closely related to the continuous inflammatory response.Anti-inflammatory peptides are expected to become a substitute for traditional anti-inflammatory drugs due to their rich sources,easy absorption by the body and low side effects.OBJECTIVE:To review the types,anti-inflammatory mechanisms,and their application in oral related diseases.METHODS:CNKI,PubMed,and Web of Science were retrieved,with"polypeptide,anti-inflammatory,immunomodulation,oral inflammatory diseases"as Chinese and English search terms.111 articles related to the classification of anti-inflammatory peptides,anti-inflammatory mechanisms,and application of oral inflammatory diseases were selected for review.RESULTS AND CONCLUSION:(1)Anti-inflammatory peptides are abundant in nature,which can be extracted from plants,animals,and microorganisms.In addition to naturally occurring peptides and protein hydrolysates,peptides synthesized by chemical modification,computer simulation design,and genetic recombination technology can also exert anti-inflammatory effects.The composition,position,and properties of amino acids affect their anti-inflammatory activity.(2)Because the anti-inflammatory mechanism of anti-inflammatory peptides is still unclear,the activity verification is mostly cell experiments,and there is a lack of animal models,clinical trials and other further studies.(3)In the treatment of oral inflammatory diseases(including periodontitis,oral mucositis,caries,pulpitis,suppurative osteomyelitis of the jaw,and peri-implantitis),anti-inflammatory peptides can inhibit the release of inflammatory factors such as interleukin 6,interleukin 1β,and tumor necrosis factor α in oral tissues,regulate inflammatory responses,improve the chronic inflammatory environment,reduce tissue destruction and structural loss,and promote bone tissue regeneration,providing new ideas for the treatment of oral inflammatory diseases.

Heart failure(HF)is the final stage of various cardiovascular diseases.The period of high incidence of death and readmission in patients with HF within 2 to 3 months after discharge is defined as the"vulnerable period".The management of vulnerable period focuses on how to identify high-risk groups with the need of close follow-up and more active intervention.Despite the application of various effective medical treatment and nursing strategies,readmissions in HF patients remain high,which not only poses a significant financial burden on the healthcare system but also carries the prognostic impact of worsening survival associated with repeated hospitalizations.Remote monitoring is a promising approach for early detection of worsening HF and intervention before apparent decompensation.Remote monitoring includes patient reporting of remote vital signs monitoring,wearable devices,information from cardiac implantable electronic devices and invasive remote hemodynamic monitoring.Remote cardiac monitoring devices have developed rapidly.A wide variety of monitoring devices have been developed,and trials have been conducted to explore the availability and safety of remote monitoring devices and their effectiveness in reducing the risk of HF re-hospitalization.Wearable devices are easy to be accepted by patients because of their non-invasive,portable,cost and other factors.

Objective To enhance the efficiency and accuracy of post-marketing safety monitoring and evaluation of drugs in China by studying large language models-based patient medical record pharmacovigilance profiling techniques,providing scientific methods and technical support to ensure the safe use of drugs for patients.Methods This study constructs a pharmacovigilance profile that includes individual patient differences,medication details,and adverse reaction manifestations.It enhances a large language model with a knowledge graph in the field of pharmacovigilance and designs targeted prompts to guide the model to output pharmacovigilance profiles.Results Large language models demonstrate significant advantages in active monitoring,effectively processing and analyzing medical text data,and improving the monitoring and prediction capabilities of drug adverse reactions.Through the design of prompts,the model can more accurately depict patient pharmacovigilance profiles,providing decision support for medical professionals.Conclusions The study of large language model-based patient medical record pharmacovigilance profiling technology provides scientific evidence and technical support for the early detection and prevention of drug adverse reactions,helping to reduce medical costs,improve medical outcome prognoses,and opens new paths to ensure patient drug safety.

The UL54 protein is a nonstructural protein of the pseudorabies virus(PRV).Electron microscopy observations showed that most of particles of recombinant PRV(rPRV-△UL54)with a deletion of the UL54 gene had only a nucleocapsid and lacked an intact vesicle structure.The in-complete structure of the viral particles led to a significant reduction in the infection efficiency of the virus,which could not be applied in the study of the gene function and mechanism of action of UL54.In this study,the UL54 gene was cloned into the lentiviral vector pLVX-IRES-Puro,and af-ter lentiviral transduction,the UL54 gene was integrated into the PK-15 cell genome.A cell line(PK-15-UL54)overexpressing UL54 protein was successfully constructed and characterized by PCR,indirect immunofluorescence assay and protein immunoblotting.Replication was assayed in the PK-15-UL54 cell line after inoculation with UL54 gene deletion virus(rPRV-△UL54-Re).Elec-tron microscopy observation showed that the rPRV-△UL54-Re virus had a complete viral particle structure.Fluorescence microscopy observations showed that rPRV-△UL54-Re virus could normal-ly infect cells and replicate.The results of quantitative PCR assay showed that the replication efficiency of rPRV-△UL54-Re virus increased.Therefore,PK-15-UL54 cell line is an important tool to improve the replication efficiency of UL54 gene deletion recombinant pseudorabies virus and plays an important role in exploring the mechanistic study of UL54 gene regulation of PRV repli-cation.

Objective:To investigate the effect of altitude on the risk of pre-eclampsia (PE).Methods:This cross-sectional study included 19 246 pregnant women who delivered in Gansu Provincial Hospital from January 2016 to December 2020. General clinical data, pregnancy outcomes and neonatal outcomes were collected. The diagnosis of PE was based on the disease diagnosis coding of medical record information system and the Chinese guidelines for the diagnosis and treatment of hypertensive disorders in pregnancy (2020). According to the altitude of residence, the subjects were divided into low altitude group (9 931 cases), middle altitude group (9 068 cases) and high altitude group (247 cases). Univariate and multivariate logistic regression analyses were used to evaluate the relationship between altitude and the risk of PE, after adjusting for confounding factors such as age, ethnicity, mode of conception, gestational diabetes mellitus, and hemoglobin level.Results:(1) Among the 19 246 pregnant women, 752 (3.91%, 752/19 246) were diagnosed with PE. The incidence of PE in the low altitude group, middle altitude group and high altitude group was 2.95% (293/9 931), 4.91% (445/9 068) and 5.67% (14/247), respectively. With the increase of living altitude, the incidence of PE increased significantly ( P<0.001). (2) The results of univariate logistic analysis showed that compared with the low altitude area, the risk of PE in pregnant women living in the middle altitude area and high altitude area increased by 70% ( OR=1.70, 95% CI: 1.46-1.97; P<0.001) and 98% ( OR=1.98, 95% CI: 1.14-3.43; P=0.016). (3) The results of multivariate logistic regression analysis showed that after fully adjusting for confounding factors, the risk of PE increased by 40% for every 500 meters of elevation ( OR=1.40, 95% CI: 1.25-1.57; P<0.001). Compared with those living in low altitude areas, the risk of PE in pregnant women living in middle altitude and high altitude areas increased by 72% ( OR=1.72, 95% CI: 1.47-2.00; P<0.001) and 100% ( OR=2.00, 95% CI: 1.07-3.74; P=0.030). Conclusion:In the high-altitude environment of Gansu Province, the risk of PE gradually increases with the increase of altitude.