In recent years， the incidence of pulmonary nodules has kept rising. To give full play to the advantages of traditional Chinese medicine （TCM） in the treatment of pulmonary nodules and identify the breakthrough points of integrating TCM with Western medicine， the China Association of Chinese Medicine organized medical experts in TCM and western medicine to carry out in-depth discussion regarding this disease. The discussion encompassed the modern medical advances， TCM theories of etiology and pathogenesis， the role and advantages of TCM in the whole course management of pulmonary nodules， contents and methods of research on pulmonary nodules， and science popularization work， aiming to provide a reference for clinical practice and scientific research. After discussion， the experts concluded that the occurrence of pulmonary nodules was rooted in the deficiency of the lung and spleen and triggered by phlegm dampness， blood stasis， and Qi stagnation. TCM can treat pulmonary nodules by controlling and reducing nodules， improving physical constitution， ameliorating multi-system nodular diseases， reducing anxiety and avoiding excessive diagnosis and treatment， and serving as an alternative for patients who are unwilling or unfit for surgical treatment. At present， the optimal diagnosis and treatment strategy for pulmonary nodules has not been formed， which needs to be further studied from multiple perspectives such as clinical epidemiology， biology， and evidence-based medicine. The primary task of current research is to find out the advantages， effective prescriptions， and target populations and determine the effective outcomes of TCM in the treatment of pulmonary nodules. At the same time， basic research should be carried out to explore the etiology and biological behaviors of pulmonary nodules. The expert consensus on the diagnosis and treatment of pulmonary nodules with integrated TCM and Western medicine needs to be continuously revised to guide clinicians to conduct standardized， scientific， and accurate effective diagnosis and treatment.

Objective To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database,to explore research hotspots and developmen-tal trends.Methods A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the litera-ture measuring tool CiteSpace.The authors,institution,country(region),title,journal,keywords,cited references and other information of relevant literatures were analyzed.Results A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries(regions)were identi-fied,with the number of articles published showing an increasing trend year by year.Among them,the United States had the highest number of publications and China ranked the second.Academy of Forensic Science had the highest number of publications among the institutions.Forensic Science Inter-national,Journal of Forensic Sciences,International Journal of Legal Medicine ranked high in publica-tion and citation frequency.Through the analysis of keywords,it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technol-ogy for sex and age estimation,cause of death analysis,postmortem interval estimation,individual identification and so on.Conclusion It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research.Exploring the combination of advanced ar-tificial intelligence technologies with forensic research will be a hotspot and direction for future re-search.

OBJECTIVES: To explore the differential expression of messenger RNA (mRNA) in myocardial tissues of rats with sudden coronary death (SCD), and to provide ideas for the forensic identification of SCD. METHODS: The rat SCD model was established, and the transcriptome sequencing was performed by next-generation sequencing technology. Differentially expressed genes (DEGs) in myocardial tissues of SCD rats were screened by using the R package limma. A protein-protein interaction (PPI) network was constructed by using the STRING database and Cytoscape 3.8.2 on DEG, and hub genes were screened based on cytoHubba plug-in. Finally, the R package clusterProfiler was used to analyze the biological function and signal pathway enrichment of the selected DEG. RESULTS: A total of 177 DEGs were associated with SCD and were mainly involved in the renin-angiotensin system and PI3K-Akt signaling pathway. The genes including angiotensinogen (AGT), complement component 4a (C4a), Fos proto-oncogene (FOS) and others played key roles in the development of SCD. CONCLUSIONS Genes such as AGT, C4a, FOS and other genes are expected to be potential biomarkers for forensic identification of SCD. The study based on mRNA expression profile can provide a reference for forensic identification of SCD.
Rats ; Animals ; RNA, Messenger/genetics* ; Gene Regulatory Networks ; Gene Expression Profiling ; Phosphatidylinositol 3-Kinases/genetics* ; Biomarkers

Glycyrrhizae Radix et Rhizoma, a traditional Chinese herbal medicine, mainly contains triterpenoids, flavonoids, polysaccharides, coumarins and volatile oils with many pharmacological activities such as anti-tumor, anti-bacterial, anti-viral, anti-inflammatory, immune regulatory and anti-fibrotic effects. The widespread applications of Glycyrrhizae Radix et Rhizoma in food, medicine and chemical industries make its demand increase gradually. Therefore, the quality guarantee of the medicinal is of great value. Starting from the elaboration of chemical components and pharmacological effects of Glycyrrhizae Radix et Rhizoma and the introduction to the concept of quality marker(Q-marker), this study analyzed the Q-markers of Glycyrrhizae Radix et Rhizoma from the aspects of plant phylogene-tics, chemical component specificity, traditional efficacy, traditional medicinal properties, absorbed components, different processing methods and so on, which provides reference for quality evaluation, development and utilization of Glycyrrhizae Radix et Rhizoma.
Drugs, Chinese Herbal/pharmacology* ; Glycyrrhiza ; Rhizome ; Triterpenes

BACKGROUND: Shenyankangfu Tablet (SYKFT) is a Chinese patent medicine that has been used widely to decrease proteinuria and the progression of chronic kidney disease. OBJECTIVE: This trial compared the efficacy and safety of SYKFT, for the control of proteinuria in primary glomerulonephritis patients, against the standard drug, losartan potassium. DESIGN, SETTING, PARTICIPANTS AND INTERVENTION: This was a multicenter, double-blind, randomized, controlled clinical trial. Primary glomerulonephritis patients, aged 18-70 years, with blood pressure ≤ 140/90 mmHg, estimated glomerular filtration rate (eGFR) ≥ 45 mL/min per 1.73 m MAIN OUTCOME MEASURES: The primary outcome was change in the 24-hour proteinuria level, after 48 weeks of treatment. RESULTS: A total of 735 participants were enrolled. The percent decline of urine protein quantification in the SYKFT group after 48 weeks was 8.78% ± 2.56% (P = 0.006) more than that in the losartan 50 mg group, which was 0.51% ± 2.54% (P = 1.000) less than that in the losartan 100 mg group. Compared with the losartan potassium 50 mg group, the SYKFT plus losartan potassium 50 mg group had a 13.39% ± 2.49% (P < 0.001) greater reduction in urine protein level. Compared with the losartan potassium 100 mg group, the SYKFT plus losartan potassium 100 mg group had a 9.77% ± 2.52% (P = 0.001) greater reduction in urine protein. With a superiority threshold of 15%, neither was statistically significant. eGFR, serum creatinine and serum albumin from the baseline did not change statistically significant. The average change in TCM syndrome score between the patients who took SYKFT (-3.00 [-6.00, -2.00]) and who did not take SYKFT (-2.00 [-5.00, 0]) was statistically significant (P = 0.003). No obvious adverse reactions were observed in any group. CONCLUSION: SYKFT decreased the proteinuria and improved the TCM syndrome scores of primary glomerulonephritis patients, with no change in the rate of decrease in the eGFR. SYKFT plus losartan potassium therapy decreased proteinuria more than losartan potassium therapy alone. TRIAL REGISTRATION NUMBER NCT02063100 on ClinicalTrials.gov.

Objective:To analyze the chemical constituents in Microctis Folium by ultra performance liquid chromatography-quadrupole-time-of-flight high resolution mass spectrometry （UPLC-Q-TOF-MS/MS）. Method:Waters CORTECS UPLC C₁₈ column （2.1 mm×150 mm， 1.6 μm） was used for chromatographic separation with the mobile phase of methanol （A） -0.1% formic acid solution （B） for gradient elution （0-4 min， 14%-30%A； 4-16 min， 30%-58%A； 16-25 min， 58%-78%A； 25-25.1 min， 78%-98%A； 25.1-29 min， 98%A）， the flow rate was 0.25 mL· min^-1， the injection volume was 1 μL. The electrospray ionization （ESI） was adopted for determining the chromatographic effluent under positive and negative ion modes， the main chromatographic peaks were assigned and distinguished by Q-TOF， and the scanning range was m/z 100-1 500. Result:A total of 31 chemical constituents in Microctis Folium were identified by confirmation of reference substances， literature comparison and high resolution mass spectrometry data analysis. The chemical constituent cluster was composed of 28 flavonoids （9 flavone C-glycosides， 10 flavonols and their glycosides， 8 proanthocyanidins， 1 xanthone） and 3 organic acids （caffeic acid， p-coumaric acid， ferulic acid）. Conclusion:UPLC-Q-TOF-MS/MS technique provides a simple， rapid and accurate method for the identification of chemical constituents in Microctis Folium. Flavone C-glycosides， flavonol oxyglycosides and proanthocyanidins are the main chemical constituents. The 7 proanthocyanidins are reported for the first time in this herb. In conclusion， the chemical profile of Microctis Folium is characterized and the findings are meaningful for the in-depth quality assessment and material basis clarification of Microctis Folium.

Objective:To analyze the general situation and traditional Chinese medicine (TCM) syndrome characteristics in patients with coronavirus disease-2019（COVID-19） in Anhui province, and to provide a basis for clinical diagnosis and treatment. Method:The 144 cases of COVID-19 patients in Anhui province were collected from designated hospitals by means of multi-center cross-sectional epidemiological survey. The TCM syndrome information collection table of patients with novel coronavirus pneumonia was created to collect the general data, etiology and pathogenesis, pulse and signs, syndrome type and frequency statistics of the patients, and then summarize and analyze the main symptoms and syndrome distribution characteristics of patients with novel coronavirus pneumonia. Result:The mean age of 144 patients with COVID-19 infection was （43.54±15.91） years old, and the number of males was larger than the number of females (9/7). The age distribution and gender difference of the patients were statistically significant (P<0.05). 36.11%（52/144） of the patients had a history of travel/residence in Wuhan/Hubei province, and 63.89% (92/144) of the patients had a history of close contact with the confirmed patients. The main clinical manifestations included fever, cough, diarrhea, fatigue and poor tolerance. Light red tongue and red tongue were dominant in tongue quality, with mainly greasy coating, slippery pulse, rapid pulse and soft pulse were the main types of pulse. The main types of syndrome differentiation were the common type (76.38%, 110/144), most of which were demonstrated as dampness obstructing the lung and spleen (56.25%, 81/144). There was no significant difference in gender composition and age distribution between two groups. Conclusion:The pathogenesis of COVID-19 patients in Anhui province is closely related to the lung and spleen, and the dampness caused by pathogen of the epidemic virus is the main pathological factor of disease, which is in line with characteristics of dampness epidemic in TCM, also can see concurrently "heat, poison, stasis" for a characteristic.