Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To explore the risk factors for intracranial infection in patients after neurosurgery,con-struct and validate a Nomogram prediction model.Methods Data of 978 patients who underwent neurosurgery in a hospital in Nanjing from January 1,2019 to December 31,2022 were retrospectively analyzed.Independent risk fac-tors were screened through logistic univariate and multivariate analyses.Modeling variables were screened through Lasso regression.A Nomogram model was constructed and internally validated by logistic regression.Effectiveness of the model was evaluated with receiver operating characteristic(ROC)curve,calibration curve and decision curve.Results Among 978 patients underwent neurosurgery,293 had postoperative intracranial infection,with an inci-dence of healthcare-associated infection of 29.96％.There was no significant difference in age,gender,proportion of coronary heart disease,cerebral infarction,diabetes and hypertension between the infected group and the non-in-fected group(all P＞0.05).Multivariate logistic analysis showed that postoperative intracranial hypertension,fe-ver,increased neutrophil percentage in blood routine examination,turbid cerebrospinal fluid,positive Pan's test,decreased glucose concentration,abnormal ratio of cerebrospinal fluid/serum glucose,positive microbial culture,absence of indwelling external ventricular drainage tubes,presence of indwelling lumbar cistern drainage tubes,use of immunosuppressive agents,and long duration of surgery were independent risk factors for postoperative intracra-nial infection in patients who underwent neurosurgery(all P＜0.05).Fifteen variables were screened out through Lasso regression.Fourteen variables were finally included for modeling after collinear screening,missing data impu-tation(random forest method)and checking pairwise interaction items.A Nomogram prediction model was con-structed,with the area under ROC curve,sensitivity,specificity,and accuracy of 0.885,0.578,0.896,and 0.704,respectively.Internal validation of the model was conducted.The modeling and validation groups presented similar effects.The calibration curve and decision curve also indicated that the model had good predictive efficacy.Conclusion The constructed Nomogram prediction model for postoperative intracranial infection after neurosurgery is scientific,and the prediction indicators are easy to obtain.The model presents with high stability,reliability,and application value,thus can provide reference for the assessment of postoperative intracranial infection after neuro-surgery.

Atractylodis Rhizoma is a kind of commonly used clinical Chinese medicine （TCM）， which was first recorded in Shennong Bencaojing （《神农本草经》）. At that time， it was called "Zhu"， which is the general name of Atractylodis Rhizoma and Atractylodis Macrocephalae Rhizoma. After Song dynasty， Atractylodis Rhizoma and Atractylodis Macrocephalae Rhizoma were separated. Atractylodis Rhizoma can be divided into Atractylodes lancea and A. chinensis. In history， A. lancea as authentic， that its quality is better than A. chinensis. However， the quality of Atractylodis Rhizoma was evaluated by the index component atractylodin in the 2020 edition of Chinese Pharmacopoeia. The general results showed that the content of atractylodin in A. lancea was low， even failed to meet the specified standard， and its content in A. chinensis was significantly higher than that in A. lancea. The results were inconsistent with the records of ancient books and documents， and the quality theory of "genuine medicine is the best". It could not reflect the quality advantage of genuine Atractylodis Rhizoma， and may even affect the clinical application and development momentum of genuine medicine. In short， the quality standard of TCM should not only conform to the historical experience， but also have the connotation of modern science and technology， which can stand the test of practice. Based on this， the author intends to sort out relevant laws and regulations， sort out the literature related to the authenticity， composition and efficacy of Atractylodis Rhizoma， and analyze the rationality of the current standard of Atractylodis Rhizoma by integrating the relevant records of historical classics and modern research results， so as to provide a basis for the improvement of the quality standard of Atractylodis Rhizoma.

Since the 18th National Congress of the Communist Party of China(CPC), the CPC and the government have highligh-ted the development of traditional Chinese Medicine(TCM) and issued a series of policies, such as the Plan for Protection and Deve-lopment of Chinese Medicinal Materials(2015-2020) forwarded by the General Office of the State Council in 2015, the Plan for Healthy Development of Traditional Chinese Medicine(2015-2020) released by the General Office of the State Council in the same year, the Healthy China 2030 Plan published by the CPC Central Committee and the State Council in 2016, the Law of the People's Republic of China on Traditional Chinese Medicine which took effect on July 2017, On the Preservation and Innovative Development of Traditional Chinese Medicine promulgated by CPC Central Committee and the State Council in 2019, and Plan for the Development of Traditional Chinese Medicine during the 14th Five-Year Plan Period of China released by the General Office of the State Council in March 2022, to promote the development of the TCM industry, which have brought historical opportunities to the TCM industry. However, TCM industry faces various challenges in the development. In terms of drug development in TCM, the current studies mainly focused on the chemical research and technical requests, which neglected TCM characteristics and cased in conformity between new drug transformation of TCM and clinical practice. Therefore, a more considerable and profound authoritative guideline is needed, and innovative thought and research are necessary for academics and the industry. Through the investigation of the development TCM industry in recent years, this study summarized the policies on and trends of Chinese medicinal materials, new drug development in TCM, catalogue of national basic drugs, and national basic health insurance, and proposed suggestions for further development of TCM industry.
China ; Drugs, Chinese Herbal ; Humans ; Industry ; Medicine, Chinese Traditional ; Policy

Objective:To explore the risk factors of seroma after laparoscopic totally extraperitoneal hernia repair.Methods:The clinical data of 236 patients underwent laparoscopic totally extraperitoneal hernia repair from July 2018 to June 2021 in Jiaozhou Central Hospital of Qingdao City were retrospectively analyzed. The related risk factors of seroma after laparoscopic totally extraperitoneal hernia repair were analyzed.Results:Among 236 patients, the seroma occurred in 36 cases (seroma group), the incidence of seroma was 15.25%; no seroma occurred in 200 cases (non-seroma group). There were statistical differences in the duration of disease ≥5 years, scrotal hernia, internal inguinal ring defect ≥3 cm, rupture of hernia sac, experience of operators <5 years between 2 groups ( P<0.01 or <0.05); there were no statistical difference in age, body mass, type of patch, preoperative complications (including diabetes, chronic obstructive pulmonary disease and cardiac cerebrovascular disease) and operative time between 2 groups ( P>0.05). Multivariate Logistic regression analysis result showed that the duration of disease ≥5 years, scrotal hernia, rupture of hernia sac and experience of operators<5 years were independent influencing factors of seroma after laparoscopic totally extraperitoneal hernia repair ( OR = 5.147, 5.006, 0.044 and 3.315; 95% CI 1.513 to 17.516, 1.845 to 13.583, 0.008 to 0.240 and 1.029 to 10.679; P<0.01 or<0.05). Conclusions:The duration of disease ≥5 years, scrotal hernia, rupture of hernia sac and experience of operators<5 years are independent influencing factors of seroma after laparoscopic totally extraperitoneal hernia repair, and preoperative assessment of risk factors is helpful to reduce the incidence of seroma.

Objective To explore the candidate genes that play significant roles in the interconnection between abdominal aortic aneurysm (AAA) and type 2 diabetes mellitus (DM). Methods We used the Biomedical Discovery Support System (BITOLA) to screen out the candidate intermediate molecular (CIM) "Gene or Gene Product" that are related to AAA and DM. The dataset of GSE13760, GSE7084, GSE57691, GSE47472 were used to analyze the differentially expressed genes (DEGs) of AAA and DM compared to the healthy status. We used the online tool of Venny 2.1 assisted by manual checking to identify the overlapped DEGs with the CIMs. The Human eFP Browser was applied to examine the tissue specific expression levels of the detected genes in order to recognize strong expressed genes in both human artery and pancreatic tissue. Results There were 86 CIMs suggested by the closed BITOLA system. Among all the DEGs of AAA and DM, 8 genes in GSE7084 (ISG20, ITGAX, DSTN, CCL5, CCR5, AGTR1, CD19, CD44) and 2 genes in GSE13760 (PSMD12, FAS) were found to be overlapped with the 86 CIMs. By manual checking and comparing with tissue-specific gene data through Human eFP Browser, the gene PSMD12 (proteasome 26S subunit, non-ATPase 12) was recognized to be strongly expressed in both the aorta and pancreatic tissue. Conclusion We proposed a hypothesis through text mining that PSMD12 might be involved or potentially involved in the interconnection between AAA and DM, which may provide a new clue for studies on novel therapeutic strategies for the two diseases.

Objective:To investigate the association between serum trace elements and dyslipidemia in Pudong New Area. Methods:A community-based cross-sectional study was carried out. A stratified， cluster sampling approach was used for sampling. In total 1 814 community residents aged above 35 years old were recruited in Pudong New Area， Shanghai. A face-to-face investigation was conducted and blood samples were collected. Serum levels of 16 trace elements， including boron， vanadium， chromium， manganese， iron， cobalt， nickel， copper， zinc， arsenic， selenium， strontium， molybdenum， tin， antimony， and barium were measured by inductively coupled plasma mass spectrometry （ICP-MS）. The relationship between serum trace elements and dyslipidemia was analyzed with single and multiple Logistic regression models. Results:Prevalence of dyslipidemia is higher among participants of more than 45 years old with high BMI， hypertension or diabetes．Serum iron leveled the highest， followed by copper， zinc， selenium， strontium， boron and other trace elements. After adjusting for potential confounders， the odds ratios of dyslipidemia associated with the highest quartile of trace elements concentrations were 1.41 （95%CI： 1.12-1.78）， 0.77 （95%CI： 0.61-0.96）， 1.65 （95%CI： 1.31-2.09）， 1.27 （95%CI： 1.02-1.58）， and 1.32 （95%CI： 1.06-1.66） for chromium， cobalt， zinc， arsenic， and tin， respectively， compared with that associated with the other three quartiles. Conclusion:Some serum trace elements are potentially associated with dyslipidemia in community residents.

Scutellariae Radix is a commonly used Chinese medicinal first recorded in the Shennong's Classic of Materia Medica. In the ancient books of traditional Chinese medicine(TCM), Scutellariae Radix is used in two specifications, solid one(Ziqin) and hollow one(Kuqin). In the current rules and regulations of Chinese medicine, Scutellariae Radix is used without the specific requirements for the specifications applied. To clarify the evolution of Scutellariae Radix specifications and analyze the current specifications of Scutellariae Radix pieces, the present study reviews the Scutellariae Radix from ancient literature, modern rules and regulations, and differences between Ziqin and Kuqin in composition, efficacy, and transformation mechanism. According to the research on ancient books, Kuqin is effective in clearing the fire of the upper energizer, and Ziqin in purging the heat of the lower energizer. Modern studies have revealed that Kuqin and Ziqin are significantly different in chemical components, and Ziqin and Kuqin target the colon and lung, respectively, which are consistent with the relevant records in ancient books. The review study suggests that the two specifications of Scutellariae Radix are reasonable since they can facilitate the precise treatment of Scutellariae Radix.
Drugs, Chinese Herbal ; Literature, Modern ; Materia Medica ; Medicine, Chinese Traditional ; Scutellaria baicalensis

Hepatitis B virus (HBV) capsid protein plays an important role in the life cycle, thus becoming an ideal target for drug design. Capsid protein inhibitors can exert a synergistic antiviral effect with nucleoside drugs by inhibiting the replication of HBV. This paper reviews the research progress of capsid protein inhibitors with different structural types from the perspective of medicinal chemistry.

Hepatitis B has become one of the major diseases which seriously affect people's health and social development. Hepatitis B, with high incidence and long disease course, cannot be cured by approved drugs such as the nucleoside analogues. Therefore, the discovery of safe and efficient novel HBV inhibitors is of great significance. From the point of view of medicinal chemistry, we summarized and discussed current endeavours towards the discovery and development of anti-HBV agents of RNase H and other novel target inhibitors with various scaffolds or distinct mechanisms of action, besides the existing capsid protein inhibitors.