ObjectiveTo investigate the prevalence of polycystic ovary syndrome （PCOS） among female college students at a university in Fuzhou City， Jiangxi Province， and to facilitate early detection and intervention of PCOS. MethodsUsing a stratified sampling method， a total of 450 female freshmen were randomly selected for PCOS screening. A self-designed questionnaire was used for data collection， covering menstrual status， high androgen signs， lifestyle， dietary habits， and awareness of PCOS. Sample t test and χ² test were used to compare the basic information and dietary habits between PCOS and non-PCOS cases. The correlation between various indicators and the prevalence of PCOS was analyzed by a logistic regression model. ResultsA total of 12 PCOS cases were identified， with a prevalence rate of 2.99%. PCOS cases exhibited statistically significant differences compared to non-PCOS cases in terms of waist-to-hip ratio， waist circumference， abdominal obesity， the proportion of overweight or obese individuals， and a preference for sweet food （all P<0.05）. Multivariate logistic regression analysis revealed a significant correlation between preference for sweet food and the occurrence of PCOS （OR=4.858， 95%CI=1.199‒19.675，P=0.027）， as well as a significant correlation with PCOS accompanied by abdominal obesity （OR=7.083， 95%CI=0.773‒64.937， P=0.048）. Among the female college students surveyed， 37.90% had never heard of PCOS， 51.62% were only familiar with the name of the disease， and 10.47% had attempted to search for PCOS-related information. ConclusionThe prevalence of PCOS among female college students should not be overlooked and unhealthy dietary habits may be a crucial factor contributing to the occurrence of PCOS during this period. Early screening for PCOS during puberty is crucial.

Objective To analyze the evaluation results of health enterprises in Beijing City and their influencing factors. Methods A total of 40 enterprises that passed the health enterprise evaluation in Beijing from 2021 to 2022 were selected as the study subjects using the judgment sampling method. The total evaluation scores and influencing factors were analyzed based on the size, nature, industry classification, and establishment time of the enterprises. Results The total evaluation score of the 40 health enterprises was (553.1±18.4) points. Scores for the primary evaluation indicators, including management organization and system, occupational disease prevention measures, health environment, health promotion measures, prevention measures for occupational stress caused damage, and musculoskeletal injury prevention measures, were (94.0±4.8), (94.0±4.3), (94.5±3.8), (89.7±4.8), (89.6±4.6), and (91.4±5.9) points, respectively. The result of multiple linear regression analysis showed that, large enterprises had higher total evaluation scores than medium enterprises and micro and small enterprises after controlling for confounding factors such as industry classification and establishment time (all P<0.10). The total evaluation scores of private enterprises and foreign-funded enterprises were lower than that of state-owned or state-participated enterprises (all P<0.10). Conclusion Enterprise size and nature are influencing factors for the total evaluation score of health enterprises. It is necessary to enhance resource and policy support for medium-sized, micro and small enterprises and private enterprises to improve the development of the health enterprises.

ObjectiveTo provide more basic information of comparative medicine for the study of biological changes and pathogenesis of COVID-19 by systematical sorting and analyzing the transcriptome data.MethodsFollowing a retrieval strategy, using COVID-19 and SARS-CoV-2 as key words, transcriptome datasets related to COVID-19 from January 2020 to May 2023 were collected from GEO, ArrayExpress and GEN Transcriptome databases. The composition, distribution, and research application of COVID-19 transcriptome data resources were analyzed. Data distribution was visually displayed and correlation analysis was performed. The research applications and limitations of existing COVID-19 transcriptome data were analyzed from the perspectives of clinical medicine and comparative medicine, focusing on clinical-related molecular mechanisms, biomarkers and related immune responses, treatment intervention strategies, etc. The research value and application prospects were discussed.Results A total of 975 sets of COVID-19 transcriptome data were included. Among three databases, datasets from humans accounted for the highest proportion, namely 71.9%, 77.9%, and 90%, respectively. Species other than humans, such as mice, were the main sources of data, with the respiratory and nervous systems having the highest distribution of data. Twenty-seven datasets were associated with clinical significance. Analysis revealed that respiratory tract injury and other related molecular mechanisms were obtained through transcriptome data mining. Biomarkers such as cfDNA could be used as therapeutic targets. The severity of COVID-19 infection was associated with cell changes and disorders represented by M1 macrophages. Comparative medical analysis showed that mice, hamsters, and other animals were susceptible to SARS-CoV-2. Rhesus monkeys and cynomolgus monkeys exhibited infection characteristics highly similar to human. Apart from respiratory symptoms, hamsters also exhibited digestive system symptoms. SARS-CoV-2 can replicate in the respiratory organs of various susceptible animals, the intestines of ferrets and the ears of minks, resulting in interstitial pneumonia, diffuse lung injury and other pathological changes of varying degrees. Based on the differences in immune responses, hamsters can be used for neutralizing antibody reaction research.Conclusion Currently there is a wealth of COVID-19 transcriptome data, but there is a lack of comparative transcriptome research. Transcriptomics can be combined with comparative medicine to further explore the differences in comparative medicine of COVID-19.

Objective This study analyzes the omics data resources in human-infecting coronavirus animal models collected from various public databases,focusing on data distribution,dataset quantity,data types,species,strains,and research content.It aims to enhance our understanding of biological characteristics and pathogenic mechanisms of coronaviruses,thereby providing a solid foundation for devising effective therapeutic strategies and preventive measures.Methods Query strategies,including specific virus names,time ranges,and inclusion and exclusion criteria,were defined to retrieve data from major public omics databases such as GEO and ArrayExpress.Secondary filtering was performed based on different field types to obtain a more accurate data list.An omics data text database was established for bibliometric analysis.Co-occurrence networks were constructed for the analysis of the correlation strengths between different research themes,technical methods,and involved species.The cell types,organs,and biological pathways involved in studies were examined to further elucidate the pathogenic interplay between pathogens and hosts.Results About twenty public databases containing coronavirus-related omics data were identified,with a primary focus on novel coronavirus infection.Commonly used species include humans,mice,hamsters,and monkeys,while the commonly used virus strains are Wuhan-Hu-1 and USA-WA1/2020.Lung tissues are primarily used in animal models such as mice,macaques,and ferrets,while airway epithelial cells and Calu-3 cells are predominantly employed in human-related studies.Expression profiling data indicate that gene pathways involved in inflammation,cytokine response,complement pathway,cell damage,proliferation,and differentiation are significantly upregulated after infection.Proteomics studies reveal significant changes in phosphoproteome,ubiquitinome,and total proteome of patient samples at different infection stages.Specific protein categories,including viral receptors and proteases,transcription factors,cytokines,proteins associated with coagulation system,angiogenesis-related proteins,and fibrosis markers,show alterations after coronavirus infection.In addition,metabolomics data suggest that phosphocholine,phosphoethanolamine,arachidonic acid,and oleic acid could serve as potential metabolic markers.Epigenomics research indicates m6A methylation plays a role in SARS-CoV-2 replication,infection,and transmission,affecting host cell-virus interactions.Among these,N,S,and non-structural proteins 2 and 3 exhibit the most significant ubiquitination.Trends in microbiomics research suggest that microbial communities in the gut and wastewater are emerging as new research focuses.Conclusion The data types of coronavirus omics are diverse,with a wide variety of models and cell types used.The selection of species and technical methods for modelling varies based on the characteristics of different viruses.Multi-omics data from animal models of coronavirus infection can reveal key interactions between hosts and pathogens,identifying biomarkers and potential therapeutic targets,and provide valuable information for a deeper understanding of biological characteristics and infection mechanisms of coronaviruses.

Objective To compare the diagnostic performance of a multi-marker panel(copeptin,cardiac troponin T[cTnT],and heart-type fatty acid-binding protein[HFABP])with the single marker cTnT in the diagnosis of type 4a acute myocardial infarction(AMI),and explore the application value of combined detectionmodel with the multiple markers.Methods The enrolled non-AMI pa-tients underwent elective percutaneous coronary intervention(PCI)at Nanjing Medical University First Affiliated Hospital during the period from March to December 2022 and were assessed as postoperative elevation of cTnT above the 99th percentile upper reference limit(URL).According to the Fourth Universal Definition of Myocardial Infarction,the patients were divided into non-type 4a AMI group and type 4a AMI group based on whether type 4a AMI occurred after surgery.The concentrations of AMI biomarkers were meas-ured using a chemiluminescent immuno-gold nanoassembly immunosensor array(chemiluminescent immuno-Gold,ciGold).Receiver operating characteristic(ROC)curves were used to analyze the performance of the diagnostic models with single and combined cardiac biomarkers.The sensitivity and specificity were also obtained from the ROC curves,and the area under the ROC curve(AUCROC)was calculated to evaluate respective diagnostic value.Kappa analysis was used to assess the consistency between the results combined de-tection model of multiple biomarkers and the diagnosis based on the Fourth Universal Definition of Myocardial Infarction.Results In this study,a total of 65 patients were included in whom females accounted for 23.1％.The ROC curve indicated that the combined de-tection model of multiple cardiac biomarkers showed specificity of 96.5％,sensitivity of 92.3％,agreement rate of 94.6％,positive pre-dictive value of 92.3％,negative predictive value of 96.2％,and AUCROC of 0.979.The single cTnT diagnostic model showed specificity of 94.2％,sensitivity of 100％,agreement rate of 95.7％,positive predictive value of 100％,negative predictive value of 94.9％,and AUCROC of 0.987.Although the combined detection model of multiple biomarkers had lower sensitivity(P=0.011),it showed higher specificity(P=0.016).The analysis of AUCROC differences between the two diagnostic models showed P＞0.05,indicating no signifi-cantly statistical difference for the diagnostic accuracy.Kappa analysis demonstrated a strong consistency between the combined detec-tion model of multiple cardiac biomarkers and the diagnosis of type 4a AMI based on the Fourth Universal Definition of Myocardial In-farction with a Cohen's Kappa coefficient of 0.818.Conclusion The multi-marker combined detection model showed similar perform-ance of cTnT in diagnos of type 4a AMI with strong diagnostic consistency.However,the combined detection model exhibited an advan-tage of higher specificity.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To investigate the central mechanism of moxibustion in treating chronic inflammatory visceral pain(CIVP)and its analgesic effect from the perspective of the p38 mitogen-activated protein kinase(MAPK)/Ets-like transcription factor 1(ELK1)signaling pathway in the spinal cord. Methods:Clean-grade male Sprague-Dawley rats were randomly divided into a normal group,a model group,a herb-partitioned moxibustion(HPM)group,a sham-HPM group,a p38 MAPK inhibitor group,and a dimethyl sulfoxide(DMSO)group.CIVP rat models were prepared using an enema mixture of 2,4,6-trinitrobenzene sulfonic acid solution and 50%ethanol.The HPM group was treated with HPM;the sham-HPM group was treated the same as the HPM group,but the moxa cones were not ignited;rats in the p38 MAPK inhibitor group received L5-L6 intrathecal injection of p38 MAPK inhibitor(SB203580);rats in the DMSO group received L5-L6 intrathecal injection of 2%DMSO.Abdominal withdrawal reflex(AWR),mechanical withdrawal threshold(MWT),and thermal withdrawal latency(TWL)were used to observe pain-related behaviors in each group.Hematoxylin-eosin staining was used to observe the morphological changes in rat colon tissue.Western blotting and real-time quantitative reverse-transcription polymerase chain reaction were used to detect the phosphorylated protein and mRNA expression of apoptosis signal-regulating kinase 1(ASK1),MAPK kinase(MKK)3/6,p38 MAPK,ELK1,and mitogen and stress-activated protein kinase 1(MSK1)in the spinal cord. Results:Compared with the normal group,CIVP rats had severe colonic inflammatory injuries,and the pathological injury scores increased significantly,along with increased AWR scores under different colorectal distension(CRD)stimulation pressures and decreased MWT and TWL;the mRNA and phosphorylated protein expression of p38 MAPK,ELK1,MSK1,ASK1,MKK3,and MKK6 all increased in the spinal cord(P<0.01).After HPM treatment,the colon injuries were repaired,and the pathological injury scores decreased;under different CRD stimulation pressures,the AWR scores decreased,and the MWT and TWL increased;the mRNA and phosphorylated protein expression of p38 MAPK,ELK1,ASK1,and MKK3 in the spinal cord also decreased,with statistically significant differences compared with the model group and the sham-HPM group(P<0.01).There were no significant differences in the above indicators between the HPM group and the p38 MAPK inhibitor group(P>0.05),and the same was true regarding the comparisons between the model group and the DMSO group. Conclusion:HPM exerted analgesic effects via downregulating the mRNA and phosphorylated protein expression of ASK1,MKK3,p38 MAPK,and ELK1 in the spinal cord of CIVP rats.The inhibition of spinal p38 MAPK/ELK1 signaling pathway activation may be one of the mechanisms by which HPM relieves pain in CIVP.

Objective:To discuss the clinical efficacy and plausible mechanism of Tiao Yang Qu Xie(regulating Yang to eliminate pathogenic factors)needling method plus paroxetine in treating mild-to-moderate depression. Methods:Sixty-six patients with mild-to-moderate depression were divided into an observation group and a control group using the random number table method,each consisting of 33 cases.Another 25 healthy subjects were recruited as a healthy group.The control group took oral paroxetine tablets for treatment,and the observation group received additional acupuncture treatment 3 times weekly.Both groups underwent 4-week treatment.Before treatment,after 2-week and 4-week treatment,and 2 weeks after treatment(follow-up),the patients were assessed using the Hamilton depression scale-17-item(HAMD-17),self-rating depression scale(SDS),self-rating anxiety scale(SAS),and traditional Chinese medicine(TCM)pattern element identification scale for depression.The two groups each randomly contributed 25 cases to detect the protein content of brain-derived neurotrophic factor(BDNF)before treatment and after 4-week treatment,and compared with the healthy group. Results:After 2-week treatment,the markedly effective and total effective rates were significantly higher in the observation group than in the control group(P<0.05);after 4-week treatment,the observation group significantly surpassed the control group in comparing the markedly effective rate(P<0.05).After 2 and 4 weeks of treatment and at the follow-up,the HAMD-17 total score and sleep disorder factor score were lower in the observation group than in the control group(P<0.05);the anxiety-somatic score was lower in the observation group than in the control group after 2-week treatment(P<0.05).After 2 and 4 weeks of treatment and at the follow-up,the observation group was lower than the control group in comparing the scores of SDS,SAS,and TCM pattern element identification scale for depression(P<0.05).After 4-week treatment,the observation group had an increased serum BDNF protein content,higher than that in the control group(P<0.05)and had no significant difference compared to the healthy group(P>0.05). Conclusion:Compared to the use of oral paroxetine alone,acupuncture plus paroxetine can produce more significant efficacy in treating mild-to-moderate depression and act faster in improving sleep disorder and anxiety-somatic symptoms;increasing the serum BDNF protein content may be a part of the mechanism underlying its antidepressant actions.

The microsphere drug delivery systems have been extensively exploited for providing controllable drug release kinetics, enhancing drug stability and localized drug delivery. In past decade, dozens of microsphere drug delivery systems have been developed for clinical therapy of cancer, schizophrenia and neurodegenerative diseases (e.g., Alzheimer's disease and Parkinsonism). In this review article, we comprehensively summarized the fabrication methods of drug delivery systems and highlighted their advances for clinical application. Furthermore, we analyzed the potential and the challenges for clinical translation of the drug delivery systems.

Autologous ozonized blood transfusion(AOBT) is a therapy of re-transfusion of 100-200 mL of autologous blood after shaking and agitation with appropriate amount of oxygen-ozone in vitro. The oxidation of blood through the strong oxidation of ozone can enhance the non-specific immune response of the body, regulate the internal environment and promote health. This therapy has been increasingly applied in clinical practice, while no unified standard for the operation process in terms of ozone concentration, treatment frequency and treatment course had been established. This operation process of AOBT is primarily explored in order to standardize the operation process and ensure its safety and efficacy.