OBJECTIVE To study the extraction process of Hongqijin granules with the standard decoction of Hongqijin formula as the reference. METHODS Fifteen batches of Hongqijin formula standard decoction were prepared. The reference characteristic chromatogram was established， and the chromatographic similarity was calculated. The average extraction yield and average transfer rates of calycosin-7-glucoside， salidroside， curcumin， and emodin of the 15 batches of standard decoction were determined. Taking soaking time， water addition amount， and decoction time as influencing factors， and extraction yield， transfer rates of marker components， as well as chromatographic similarity with the reference characteristic chromatogram as evaluation indexes， orthogonal test combined with principal component analysis was adopted to optimize the extraction process of Hongqijin granules， followed by process verification. RESULTS The average extraction yield of 15 batches of Hongqijin formula standard decoction was 32.55%. The average transfer rates of calycosin-7-glucoside， salidroside， curcumin， and emodin were 70.68%， 74.35%， 2.16%， and 4.62%， respectively. The optimal extraction process of Hongqijin granules was confirmed as follows： extraction was carried out twice； the first extraction used 8-fold water for 60 min， and the second extraction adopted 6.5-fold water for 45 min. In three validation tests， the average extraction yield was 33.01%. The average transfer rates of the four marker components were 79.51%， 75.54%， 1.84%， and 4.30%， with all RSD values less than 2%. The chromatographic similarities between the extracting solution and reference characteristic chromatogram were all higher than 0.990. CONCLUSIONS The optimized extraction process of Hongqijin granules exhibits good stability， and the material basis of the extracting solution is consistent with that of Hongqijin formula standard decoction.

Digital medical insurance governance， as an important component of digital transformation， improves the efficiency of medical insurance services while facing complex ethical challenges. Taking stakeholder theory as the analytical framework， this paper explored the generative mechanisms， manifestations， and countermeasures of ethical issues in digital medical insurance governance. This study uncovered that accelerated technological iteration and lagging ethical and legal norms， as well as interest conflicts among multiple participants in governance， constituted the major causes of ethical issues. These issues specifically manifested as data privacy leakage， unfair algorithmic decision-making， widening digital divide， ambiguous accountability， and other aspects. To address these issues， this paper put forward systematic countermeasures， such as establishing a dynamic ethical and legal regulatory system， balancing the demands of stakeholders， strengthening technological ethical governance， narrowing the digital divide， and enhancing accountability mechanisms. Through the implementation of multi-dimensional governance strategies， it aimed to balance technological innovation and ethical constraints， advance the inclusiveness， fairness， and sustainable development of digital medical insurance， and provide theoretical reference and practical references for improving China’s digital medical insurance governance system.

OBJECTIVE To analyze the quantity transfer rule in the processing of Astragalus membranaceus before and after moistening-soaking and steaming-soaking followed by cutting. METHODS Three batches of A. membranaceus decoction pieces processed through moistening-soaking and steaming-soaking followed by cutting were prepared. The HPLC overlapping fingerprints of A. membranaceus and its decoction pieces were established through the Similarity Evaluation System of Chromatographic Fingerprints of TCM （2012 edition）. Combined with the previous qualitative analysis results， the common peaks were identified， the changes of common peak area were analyzed， and the principal component analysis was carried out. The contents of calycosin-7-glucoside， astragaloside Ⅰ and astragaloside Ⅳ in A. membranaceus and its decoction pieces were determined by HPLC， and the content differences of each component in different samples were compared. RESULTS The results of fingerprint analysis showed that 17 common peaks were identified. After steaming-soaking and moistening-soaking of A. membranaceus， the proportion of common peak area in the decoction pieces changed compared with the original medicine （for example， in A. membranaceus steaming-soaking decoction pieces， the proportion of peak area of malonyl calycosin-7-glucoside and malonyl astragaloside Ⅰ decreased， while the proportion of peak area of calycosin-7-glucoside increased）. The results of principal component analysis showed that A. membranaceus， and its decoction pieces after moistening-soaking and steaming-soaking followed by cutting were all clustered into one category respectively. The results of content determination showed that， compared with A. membranaceus， the average content of calycosin-7-glucoside in A. membranaceus moistening-soaking decoction pieces was significantly reduced （P＜0.05）； the average contents of calycosin-7-glucoside and astragaloside Ⅳ in A. membranaceus steaming- soaking decoction pieces were significantly increased （P＜0.05）； there was no significant difference in the average content of astragaloside Ⅳ in A. membranaceus moistening-soaking decoction pieces and astragaloside Ⅰ in the two decoction pieces （P＞ 0.05）. CONCLUSIONS There are differences in the quantity transfer rules of A. membranaceus before and after moistening-soaking and steaming-soaking followed by cutting. Steaming-soaking followed by cutting may make the transformation of unstable components （such as malonyl calycosin-7-glucoside and malonyl astragaloside Ⅰ） more complete.

Tooth development is a complex process of the orderly interaction between epithelium originating from the ectoderm and mesenchyme derived from cranial neural crest cells, which not only depends on cell genes regulatory network but also involves crosstalk between cells and their surrounding environment. Even within the same type of cellular populations, obvious heterogeneity may be observed. Single-cell RNA sequencing is a novel technology aimed at sequencing the transcriptome of individual cell. As a critical bridge linking genetic information from the genome to the functional proteome, transcriptome analysis at the single-cell level enables a deeper understanding of cellular heterogeneity and organ developmental trajectories. This approach provides a powerful tool for elucidating complex biological processes and identifying potential therapeutic targets. Here, we summarize the latest advances in employing single-cell RNA sequencing analysis to the process of tooth development, which will help provide insights into a better understanding of prosthodontics and regeneration.

Background::Hepatitis B poses a heavy burden for children in China, however, the national studies on the distributional characteristics and health care costs of children with severe hepatitis B is still lacking. This study aimed to analyze the disease characteristics, health economic effects, and medical cost for children with severe hepatitis B in China.Methods::Based on patient information in the Hospital Quality Monitoring System, cases with severe hepatitis B were divided into four groups according to age, and the etiology and symptoms of each group were quantified. The cost of hospitalization was calculated for cases with different disease processes, and severity of disease. The spatial aggregation of cases and the relationship with health economic factors were analyzed by Moran’s I analysis. Results::The total number of children discharged with hepatitis B from January 2016 to April 2022 was 1603, with an average age of 10.5 years. Liver failure cases accounted for 43.48% (697/1603) of total cases and cirrhosis cases accounted for 11.23% (180/1603). According to the grouping of disease progression, there were 1292 cases without associated complications, and the median hospitalization cost was $818.12. According to the spatial analysis, the aggregation of cases was statistically significant at the prefectural and provincial levels in 2019, 2020, and 2021 (all P <0.05). The number of severe cases was negatively correlated with gross domestic product (Moran’s I <0) and percentage of urban population (Moran’s I <0), and positively correlated with the number of pediatric beds per million population (Moran’s I >0). Conclusion::The number of severe hepatitis B cases is low in areas with high gross domestic product levels and high urban population ratios, and health care costs have been declining over the years.

Tooth development is a complex process of the orderly interaction between epithelium originating from the ectoderm and mesenchyme derived from cranial neural crest cells, which not only depends on cell genes regulatory network but also involves crosstalk between cells and their surrounding environment. Even within the same type of cellular populations, obvious heterogeneity may be observed. Single-cell RNA sequencing is a novel technology aimed at sequencing the transcriptome of individual cell. As a critical bridge linking genetic information from the genome to the functional proteome, transcriptome analysis at the single-cell level enables a deeper understanding of cellular heterogeneity and organ developmental trajectories. This approach provides a powerful tool for elucidating complex biological processes and identifying potential therapeutic targets. Here, we summarize the latest advances in employing single-cell RNA sequencing analysis to the process of tooth development, which will help provide insights into a better understanding of prosthodontics and regeneration.

Background::Hepatitis B poses a heavy burden for children in China, however, the national studies on the distributional characteristics and health care costs of children with severe hepatitis B is still lacking. This study aimed to analyze the disease characteristics, health economic effects, and medical cost for children with severe hepatitis B in China.Methods::Based on patient information in the Hospital Quality Monitoring System, cases with severe hepatitis B were divided into four groups according to age, and the etiology and symptoms of each group were quantified. The cost of hospitalization was calculated for cases with different disease processes, and severity of disease. The spatial aggregation of cases and the relationship with health economic factors were analyzed by Moran’s I analysis. Results::The total number of children discharged with hepatitis B from January 2016 to April 2022 was 1603, with an average age of 10.5 years. Liver failure cases accounted for 43.48% (697/1603) of total cases and cirrhosis cases accounted for 11.23% (180/1603). According to the grouping of disease progression, there were 1292 cases without associated complications, and the median hospitalization cost was $818.12. According to the spatial analysis, the aggregation of cases was statistically significant at the prefectural and provincial levels in 2019, 2020, and 2021 (all P <0.05). The number of severe cases was negatively correlated with gross domestic product (Moran’s I <0) and percentage of urban population (Moran’s I <0), and positively correlated with the number of pediatric beds per million population (Moran’s I >0). Conclusion::The number of severe hepatitis B cases is low in areas with high gross domestic product levels and high urban population ratios, and health care costs have been declining over the years.

To analyze the disease group structure and its trends in key departments of large public hospitals using diagnosis related group (DRG) data, explore the key points of intervention and optimization of disease groups in departments, and further promote the rational allocation of department resources.

Objective:To study the clinicopathological characteristics, treatment and prognosis in lupus nephritis (LN) patients with renal thrombotic microangiopathy (TMA), so as to provide more theoretical basis for clinicians to recognize and treat this disease.Methods:The clinical data of LN patients who underwent renal biopsy in the First Affiliated Hospital of Zhengzhou University from January 1, 2012 to May 31, 2019 were retrospectively collected and analyzed. According to renal clinicopathological examination, the patients were divided into renal TMA group and non-renal TMA group. The clinical data, laboratory examination, renal pathological examination, therapeutic measures and prognostic between the two groups were compared. Follow-up end points were defined as composite ends, including all-cause death, entry into end-stage renal disease, and estimated glomerular filtration rate decrease>50% of baseline. Kaplan-Meier survival curve and log-rank test were used to compare the difference of survival rate between the two groups, and multivariate Cox regression equation was used to analyze the risk factors of endpoint events in LN patients.Results:A total of 1 133 patients with LN were enrolled in this study. Patients with renal TMA were more likely to have hypertension ( χ2=16.310, P<0.001), higher baseline serum creatinine ( Z=-6.918, P<0.001) and 24-hour urine protein ( Z=-2.232, P=0.026), and higher renal pathology activity index (AI) score ( Z=1.957, P=0.001)and chronic index (CI) score ( Z=1.836, P=0.002). The proportions of hormone shock ( P<0.001) and plasma exchange ( P<0.001) in the renal TMA group were higher than those in non-renal TMA group. After treatment of (12±2) months, patients in the renal TMA group had a lower complete response rate ( χ2=10.455, P=0.001) and a higher non-response rate ( χ2=6.047, P=0.014) than those in non-renal TMA group, and were associated with worse prognosis (Log-rank test χ2=26.490, P<0.001). Renal TMA was an independent risk factor for poor prognosis ( HR=2.347, 95% CI 1.210-4.553, P=0.012). Conclusions:Compared with LN patients without renal TMA, LN patients with renal TMA are more likely to have hypertension, with higher serum creatinine, 24-hour urinary protein, AI and CI, suggesting poorer treatment response and renal prognosis. Moreover, renal TMA is an independent risk factor for poor prognosis in patients with LN.

A fundamental challenge that arises in biomedicine is the need to characterize compounds in a relevant cellular context in order to reveal potential on-target or off-target effects. Recently, the fast accumulation of gene transcriptional profiling data provides us an unprecedented opportunity to explore the protein targets of chemical compounds from the perspective of cell transcriptomics and RNA biology. Here, we propose a novel Siamese spectral-based graph convolutional network (SSGCN) model for inferring the protein targets of chemical compounds from gene transcriptional profiles. Although the gene signature of a compound perturbation only provides indirect clues of the interacting targets, and the biological networks under different experiment conditions further complicate the situation, the SSGCN model was successfully trained to learn from known compound-target pairs by uncovering the hidden correlations between compound perturbation profiles and gene knockdown profiles. On a benchmark set and a large time-split validation dataset, the model achieved higher target inference accuracy as compared to previous methods such as Connectivity Map. Further experimental validations of prediction results highlight the practical usefulness of SSGCN in either inferring the interacting targets of compound, or reversely, in finding novel inhibitors of a given target of interest.
Drug Delivery Systems ; Proteins ; Transcriptome