ObjectiveThis paper aims to conduct a secondary analysis of a randomized controlled trial on the treatment of myelodysplastic syndrome （MDS） with deficiency of both the spleen and kidney and blockage of toxin and blood stasis with an arsenic-containing traditional Chinese medicine compound， by applying the mixed model for repeated measure （MMRM） and the method of stratified composite outcome with win ratio. The analysis includes the assessment of hematological efficacy and the composite outcome evaluation of adverse reactions， so as to more comprehensively assess the therapy of this regimen. MethodsThe MMRM and win ratio methods were used to evaluate the efficacy of a prospective，multi-center，double-blind，randomized controlled study. The blood routine （hemoglobin concentration，neutrophil count， and platelet count） and biochemical indexes （aspartate aminotransferase，alanine aminotransferase，serum creatinine，and serum ferritin） of the patients were detected at the time of enrollment and at the end of each course of treatment in the laboratory department of Xiyuan Hospital. The patients' syndromes at the time of enrollment and after treatment were recorded and scored according to the therapy standard of traditional Chinese medicine for diseases and syndromes. MMRM was used to analyze the blood routine indexes of the experimental group and the control group. This method has the advantages of high data reliability and dynamic efficacy under intervention and time. The win ratio method was used to evaluate the composite outcome of traditional Chinese medicine syndrome scores and biochemical indexes according to the priority and to verify the clinical safety of arsenic-containing traditional Chinese medicine compound. ResultsThe results of MMRM analysis showed that the hemoglobin concentration of patients in the group with arsenic-containing traditional Chinese medicine compound increased significantly compared with that before treatment in the group，while that in the placebo group decreased significantly （P<0.01）. When compared with that after treatment in the placebo group，the hemoglobin concentration of patients in the group with arsenic-containing traditional Chinese medicine compound increased significantly，and the mean difference of least squares （LS） was statistically significant （P<0.01）. When compared with those before treatment in the group，there were no statistically significant differences in the neutrophil count and platelet count in both groups. After treatment，there were no statistically significant differences in the neutrophil count， platelet count， and the mean difference of LS between the two groups. The analysis results of win ratio showed that the group with arsenic-containing traditional Chinese medicine compound had a significant advantage in the comparison of composite outcomes，with a win ratio （95% CI） of 2.01 （1.24-3.27） （P<0.01），and that the possibility of "winning" in terms of safety was 2.01 times that of the placebo group. The safety advantage of the group with arsenic-containing traditional Chinese medicine compound mainly came from the traditional Chinese medicine syndrome scores，renal function indexes， and iron reserve capacity indexes，and the number of winning times was less than that of losing times in the comparison of liver function outcomes. ConclusionThe MMRM analysis proves that the arsenic-containing traditional Chinese medicine compound can significantly improve the hemoglobin concentration of patients with myelodysplastic syndrome with refractory cytopenia and multilineage dysplasia （MDS-RCMD） of the type of deficiency of both the spleen and kidney and blockage of toxin and blood stasis. This conclusion is not interfered with by time trends and individual relationships and methodologically improves the credibility of the therapy of the arsenic-containing traditional Chinese medicine compound in treating MDS. Four outcomes are evaluated by the win ratio method，namely traditional Chinese medicine syndromes，liver function，renal function， and iron reserve capacity，proving that the arsenic-containing traditional Chinese medicine compound has the comprehensive advantages of improving the survival quality of the patients and reducing adverse reactions. The win ratio outcome provides clear comparative indexes for the evaluation of adverse reactions，making it easier for regulatory authorities，medical staff， and patients to understand the safety of the arsenic-containing traditional Chinese medicine compound in clinical application.

ObjectiveTo investigate the effects of Shengui Jiangtang Formula on insulin resistance and glucose-lipid metabolism in spontaneous type 2 diabetic db/db mice based on the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/forkhead box protein O1 （FoxO1） signaling pathway， and to provide theoretical foundation for its clinical application through fundamental experiments. MethodsA randomized controlled design was employed in this study. Thirty spontaneous type 2 diabetic db/db mice meeting the inclusion criteria （fasting blood glucose >7.0 mmol·L^-1 and random blood glucose on a different day≥11.1 mmol·L^-1） were selected as the subjects. After stratified block randomization by body weight and blood glucose levels， they were randomly assigned to a model group， a metformin group， and a Shengui Jiangtang formula group， with n=10 per group. Ten db/m mice were used as the normal group. During the 5-week intervention， general indicators （including general condition， fasting blood glucose （FBG）， body weight， and food intake） were recorded weekly. An oral glucose tolerance test （OGTT） was performed at week 5. After 5 weeks， serum was collected to measure glucose-lipid metabolism parameters. Liver tissues were analyzed as follows： Histopathology was observed through hematoxylin and eosin （HE） staining， periodic acid-Schiff （PAS） staining， and Oil red O staining. The expression of proteins and genes related to the PI3K/Akt/FoxO1 signaling pathway was quantitatively analyzed using Western blotting （Western blot） and real-time quantitative polymerase chain reaction （Real-time PCR）. ResultsGeneral observations： The mice in the normal group were generally healthy， exhibited agile responses and had smooth and glossy fur. Compared with the normal group， the mice in the model group displayed typical symptoms of polydipsia， polyphagia， and polyuria， along with listlessness and rough fur. Their food intake， initial body weight， liver weight， and liver index were all significantly higher than those in the normal group （P<0.01）. After 5 weeks of drug intervention， neither the Shengui Jiangtang Formula group nor the metformin group significantly affected the food intake of the model mice. Compared with the model group， no statistically significant difference was observed in liver weight or liver index in the Shengui Jiangtang formula group. Serum biochemical indicators： Compared with the normal group， the model group showed significantly elevated levels of FBG， fasting insulin， homeostatic model assessment of insulin resistance （HOMA-IR）， glycosylated serum protein， and blood lipids. After drug intervention， compared with the model group， the Shengui Jiangtang formula group significantly reduced FBG in the model mice （P<0.01）. The blood glucose levels at all time points during the OGTT in the Shengui Jiangtang Formula group were lower than those in the model group， with statistically significant differences in the 0 min blood glucose and the area under the curve for glucose compared to the model group （P<0.05）. Furthermore， the formula significantly reduced fasting insulin levels， HOMA-IR， and glycosylated serum protein levels （P<0.05）. It also showed a tendency to decrease blood lipids， liver enzymes （aspartate aminotransferase， alanine aminotransferase）， and blood urea nitrogen levels， and a tendency to increase creatinine levels， although these differences were not statistically significant. Liver histomorphology： HE staining indicated that Shengui Jiangtang formula improved the morphological structure of hepatocytes and attenuated steatosis in diabetic mice. Liver PAS staining showed that it increased hepatic glycogen content and promoted hepatic glycogen synthesis in diabetic mice. Oil red O staining demonstrated that it reduced lipid deposition within hepatocytes. Western blot： Compared with the normal group， the model group showed decreased protein expression of PI3K， Akt， p-Akt， and p-FoxO1， and increased FoxO1 protein expression. Compared with the model group， both the metformin and Shengui Jiangtang Formula groups showed increased protein expression of PI3K， Akt， p-Akt， and p-FoxO1， and decreased FoxO1 protein expression. Real-time PCR： Compared with the normal group， the mRNA expression of PI3K and Akt was downregulated （P<0.05）， and the mRNA expression of FoxO1 was downregulated （P<0.05） in the model group. ConclusionShengui Jiangtang Formula can improve insulin resistance and glucose-lipid metabolic disorders in db/db mice. It alleviates hepatic steatosis， promotes hepatic glycogen synthesis， and reduces lipid deposition in these mice. The mechanism by which Shengui Jiangtang Formula improves insulin resistance may be associated with the PI3K/Akt/FoxO1 signaling pathway.

In recent years, potato scab caused by pathogenic Streptomyces spp. has become widespread globally, with increasing damage severely compromising the commercial value and storability of tubers. The pathogens are transmitted through the soil and seeds of potato, while existing control technologies have demonstrated limited efficacy in preventing the colonization and spread of pathogens, which pose a critical bottleneck in the sustainable development of the potato industry. This study systematically examines the pathogen characteristics and pathogenic mechanisms, evaluates the impacts of soil nutrients and microbial community structure on disease severity, and analyzes limitations in current chemical control, biological control, and disease-resistant variety breeding approaches. We propose an integrated control strategy of disease-resistant varieties, phosphorus fertilizer reduction, fertilizer efficiency enhancement, and phosphorus-soluble antagonistic fungicides, aiming to provide novel research perspectives for achieving effective prevention and control of potato scab.
Solanum tuberosum/microbiology* ; Plant Diseases/prevention & control* ; Streptomyces/pathogenicity* ; Disease Resistance ; Fungicides, Industrial/pharmacology* ; Fertilizers ; Soil Microbiology

Drug delivery technologies are crucial components in drug development, greatly enhancing drug bioavailability and therapeutic efficacy and reducing toxic side effects. Cell membrane-based biomimetic carriers have attracted considerable interest owing to their intrinsic biointeractive capability derived from source cells in vivo. This review summarizes the fundamental properties and functional attributes of cell membrane–based biomimetic carriers from different cellular sources and discusses their advancements in tumor-targeted drug delivery and role in the activation of antitumor immunity. Ultimately, the discussion focuses on the prospects and potential challenges in employing cell membrane-based biomimetic carriers for antitumor treatment.

To explore the application of sequential analysis in post-market safety dynamic surveillance of vaccines. Under the dynamic monitoring data of vaccines post-market approval, this research introduces the fundamental principles of maximizing sequential probability ratio test (MaxSPRT) and Bayesian sequential analysis, employing R software. Through an example of dynamic safety monitoring data of vaccines post-market approval, we analyze using the MaxSPRT and Bayesian sequential analysis. The MaxSPRT identified a safety signal in week 4 ( P<0.05), while Bayesian sequential analysis indicated that the 95% highest density interval for the RR value at week 4 is 1.13-3.27, suggesting the first appearance of a safety signal at week 4. The MaxSPRT and Bayesian sequential analysis effectively leverage continuously accumulating dynamic monitoring data, thereby serving as a valuable method for post-market safety surveillance of vaccines.

It is proposed that cold qi-induced accumulation encapsulates the core pathogenesis of the inflammation-cancer transformation in inflammatory bowel disease （IBD）. Cold pathogens may serve as the initiating factor. When first invading the intestines， cold pathogens obstruct the flow of qi； over time， the lingering cold impairs the middle jiao （焦）， eventually leading to the accumulation of cold-phlegm and blood stasis. Based on the progressive nature of this transformation， the process can be divided into three stages， active stage， remission stage， and carcinogenic stage. In the active stage， the main pathogenesis involves stagnation of cold qi and accumulation of damp-heat in the intestines； in the remission stage， cold qi impairs the spleen， disrupting its transport and transformation functions； and in the carcinogenic stage， the mechanisms include cold-induced accumulation， phlegm accumulation from cold， and stagnation of cold and blood stasis. Accordingly， the treatment strategies are proposed.In the active stage， regulating qi， relieving stagnation， and harmonizing cold and heat； in the remission stage， warming yang， dispersing cold， tonifying qi， and strengthening the spleen； and in the carcinogenic stage， promoting qi circulation， dispersing cold， resolving phlegm， activating yang， and eliminating stasis to remove accumulation. These approaches aim to interrupt the transformation of IBD into colorectal cancer.

Objectives:To analyze whether there is a causal relationship between plasma proteins and the risk of coronary atherosclerosis(CAS)based on a two-sample Mendelian randomization(MR)analysis and to identify potential therapeutic targets for CAS.Methods:Single nucleotide polymorphisms(SNP)associated with plasma proteins from the UK Biobank Pharmacoproteomics Program(UKB-PPP)database were used as instrumental variables and outcome data were obtained from genome-wide association study databases.The Wald ratio method and inverse variance weighted(IVW)method in two-sample MR were employed as the primary approaches to assess the causal relationship between plasma proteins and CAS.Colocalization analysis was conducted as a sensitivity analysis to ensure the robustness of the MR findings.Results:A total of 132 plasma proteins were found to have causal associations with an increased risk of CAS.Colocalization analysis revealed that 12 plasma proteins shared genetic variants with CAS.Among them,Proprotein convertase subtilise/kexin type 9(PCSK9)(OR=1.23,95%CI:1.15-1.32,P<0.01)and neurocan(NCAN)(OR=1.35,95%CI:1.21-1.52,P<0.01)exhibited posterior probability of hypothesis4(PPH4)values<0.80 in the colocalization analysis,indicating strong support for colocalization and suggesting their potential as primary plasma protein drug targets for CAS.Conclusions:PCSK9 is associated with an increased risk of CAS and is confirmed as a therapeutic target for CAS.NCAN emerges as another potential therapeutic target for CAS.

Objectives:To analyze whether there is a causal relationship between plasma proteins and the risk of coronary atherosclerosis(CAS)based on a two-sample Mendelian randomization(MR)analysis and to identify potential therapeutic targets for CAS.Methods:Single nucleotide polymorphisms(SNP)associated with plasma proteins from the UK Biobank Pharmacoproteomics Program(UKB-PPP)database were used as instrumental variables and outcome data were obtained from genome-wide association study databases.The Wald ratio method and inverse variance weighted(IVW)method in two-sample MR were employed as the primary approaches to assess the causal relationship between plasma proteins and CAS.Colocalization analysis was conducted as a sensitivity analysis to ensure the robustness of the MR findings.Results:A total of 132 plasma proteins were found to have causal associations with an increased risk of CAS.Colocalization analysis revealed that 12 plasma proteins shared genetic variants with CAS.Among them,Proprotein convertase subtilise/kexin type 9(PCSK9)(OR=1.23,95%CI:1.15-1.32,P<0.01)and neurocan(NCAN)(OR=1.35,95%CI:1.21-1.52,P<0.01)exhibited posterior probability of hypothesis4(PPH4)values<0.80 in the colocalization analysis,indicating strong support for colocalization and suggesting their potential as primary plasma protein drug targets for CAS.Conclusions:PCSK9 is associated with an increased risk of CAS and is confirmed as a therapeutic target for CAS.NCAN emerges as another potential therapeutic target for CAS.

AIM:To evaluate the application effec-tiveness of a Bayesian mixture model based on the principal stratum strategy for estimating the com-plier average causal effect(CACE)in clinical trials with non-compliance.METHODS:Using a non-infe-riority randomized controlled trial investigating a novel drug for primary type 2 diabetes mellitus(non-inferiority margin:-0.4)as a case study,the primary analysis applied a Bayesian mixture model under the monotonicity assumption to estimate CACE of between-group differences in glycated he-moglobin(HbA1c)changes within the compliant stratum,followed by non-inferiority testing.Sensi-tivity analyses included a Bayesian mixture model relaxing the monotonicity assumption and compar-ing results with per-protocol set(PPS)analysis.RE-SULTS:In the primary analysis,the posterior mean of CACE for HbA1c change in the compliant stratum was 0.081％,with a one-sided 97.5％credible inter-val lower bound of-0.124,exceeding the non-infe-riority margin(-0.4％),supporting the non-inferiori-ty efficacy of the novel drug in the compliant stra-tum(P(H1|Data)=1).Consistent findings were ob-served in PPS analyses(estimated effect:0.136％;one-sided 97.5％credible interval lower bound:-0.069％),further validating methodological robust-ness.CONCLUSION:In clinical trials with noncom-pliance as an intercurrent event,the Bayesian mix-ture model under the principal stratum strategy ef-fectively adjusts for compliance-related bias and yields conservative,robust estimates of causal ef-fects,supporting its value in efficacy evaluation un-der complex compliance scenarios.

To explore the application of sequential analysis in post-market safety dynamic surveillance of vaccines. Under the dynamic monitoring data of vaccines post-market approval, this research introduces the fundamental principles of maximizing sequential probability ratio test (MaxSPRT) and Bayesian sequential analysis, employing R software. Through an example of dynamic safety monitoring data of vaccines post-market approval, we analyze using the MaxSPRT and Bayesian sequential analysis. The MaxSPRT identified a safety signal in week 4 ( P<0.05), while Bayesian sequential analysis indicated that the 95% highest density interval for the RR value at week 4 is 1.13-3.27, suggesting the first appearance of a safety signal at week 4. The MaxSPRT and Bayesian sequential analysis effectively leverage continuously accumulating dynamic monitoring data, thereby serving as a valuable method for post-market safety surveillance of vaccines.