Functional dyspepsia （FD） is a prioritized disease category where traditional Chinese medicine （TCM） demonstrates distinct therapeutic advantages. The current western medicine treatment for FD is mainly based on proton pump inhibitors and prokinetic agents， with digestive enzymes， probiotics and antidepressants serving as adjuvant medication， yet such therapies still have certain limitations. TCM treatment for FD includes oral administration of Chinese herbal formulas and Chinese patent medicines， as well as external TCM therapies such as acupuncture and moxibustion， acupoint application， hot medicinal compress therapy， rubbing with ointment， medicinal iontophoresis， auricular acupoint therapy and tui na （Chinese medical massage）. The combined treatment of FD with integrated TCM and western medicine can significantly improve clinical effectiveness and reduce adverse reactions. The common mechanisms underlying the therapeutic effects of both TCM and western medicine revolve around the core pathological processes of FD， mainly focusing on restoring gastrointestinal motility， regulating the levels of brain-gut peptides， modulating intestinal microecology， and ameliorating inflammatory status. The differential mechanisms lie in the precise targeting feature of western medicine versus the holistic-regulating and multi-target characteristics of TCM， and the two approaches exert a synergistic effect to enhance efficacy. This paper proposes to leverage the advantages of TCM in holistic regulation and the strengths of western medicine in targeted treatment， so as to provide personalized and comprehensive treatment regimens for FD patients.

ObjectiveTo analyze the distribution of traditional Chinese medicine （TCM） syndrome elements in patients with immune-related adverse events （irAEs） associated with malignant tumor immunotherapy and to explore the influencing factors for the occurrence of irAEs. MethodsClinical data were retrospectively collected from malignant tumor patients treated with programmed death-1 （PD-1） inhibitors， including demographic information， tumor history， duration of immunotherapy， occurrence of irAEs， types and grades of irAEs （G1-G5）， and TCM four-diagnostic information. Patients were divided into irAEs group and the non-irAEs group based on the occurrence of irAEs. Propensity score matching （PSM） at a 1∶2 ratio was performed to balance baseline characteristics between groups. Syndrome elements before treatment and cumulative contributions of syndrome elements before and after irAEs onset were evaluated using the "Syndrome Elements Differentiation Scale". Logistic regression analysis was conducted to identify factors associated with the occurrence of irAEs. The use of glucocorticoids in the irAEs group was also analyzed. ResultsAfter 1∶2 matching， 59 patients were included in the irAEs group and 118 were in the non-irAEs group. No statistically significant differences were found between groups in terms of age， gender， primary tumor site， pathological type， or tumor stage （P＞0.05）. Patients in the non-irAEs group were more likely to have received targeted therapy， while the irAEs group had a longer duration of immunotherapy and a higher rate of positive programmed death-ligand 1 （PD-L1） expression （P＜0.05）. In total， 72 irAEs events occurred among 59 patients， with an overall incidence rate of 19.4% （59/304） and a grade 3~5 incidence rate of 6.8% （4/59）， mainly presenting as cardiotoxicity， nephrotoxicity， and pneumotoxicity.Before immunotherapy， the top three syndrome elements in the irAEs group were spleen （71.2%， 42/59）， kidney （42.4%， 25/59）， and lung （39.0%， 23/59）. For the pathogenic nature elements， yin deficiency （52.5%， 31/59）， phlegm （40.7%， 24/59）， and dampness （35.6%， 21/59） ranked highest. Compared to the non-irAEs group， the distribution of spleen， kidney， liver， yin deficiency， and qi deficiency elements showed significant differences in the irAEs group （P＜0.05）. After the occurrence of irAEs， the cumulative contributions of spleen， lung， stomach， heart， yin deficiency， qi deficiency， and yang hyperactivity elements increased significantly （P＜0.05）. Multivariate Logistic regression analysis indicated that duration of immunotherapy， spleen syndrome element， kidney syndrome element， liver syndrome element， yin deficiency element， and qi deficiency element were independent risk factors for irAEs （P＜0.05 or P＜0.01）. Among the irAEs patients， 15 received glucocorticoid combined with TCM treatment， while 6 received glucocorticoid therapy alone. Patients receiving combined treatment required lower doses and shorter courses of glucocorticoids compared to those treated with glucocorticoids alone （P＜0.05）. ConclusionIn malignant tumor patients， spleen， kidney， lung， yin deficiency， phlegm， dampness， and qi deficiency are the predominant syndrome elements before and after the occurrence of irAEs. However， elements such as heat and qi stagnation significantly increase after irAEs onset. Duration of immunotherapy， spleen， kidney， liver syndrome elements， yin deficiency， and qi deficiency are independent risk factors for the development of irAEs.

The most common medications for the treatment of zoonotic toxoplasmosis are pyrimethamine and sulfadiazine, which may cause serious undesirable side effects. Thus, there is an urgent need to develop novel therapeutics. Baicalein (BAI, C₁₅H₁₀O₅) has been shown to perform well against protozoan parasites including Leishmania and Cryptosporidium. In this study, the inhibition efficacy of BAI on Toxoplasma gondii was evaluated using plaque, invasion, and intracellular proliferation assays. BAI effectively inhibited T. gondii (half-maximum inhibitory concentration (IC₅₀)=6.457×10^-5 mol/L), with a reduced invasion rate (33.56%) and intracellular proliferation, and exhibited low cytotoxicity (half-maximum toxicity concentration (TC₅₀)=5.929×10^-4 mol/L). Further investigation using a mouse model shed light on the inhibitory efficacy of BAI against T. gondii, as well as the potential mechanisms underlying its anti-parasitic effects. The survival time of T. gondii-infected ICR mice treated with BAI was remarkably extended, and their parasite burdens in the liver and spleen were greatly reduced compared with those of the negative control group. Histopathological examination of live sections revealed effective therapeutic outcomes in the treatment groups, with no notable pathological alterations observed. Furthermore, alterations in cytokine levels indicated that BAI not only effectively suppressed the growth of T. gondii but also prevented excessive inflammation in mice. Collectively, these findings underscore the significant inhibitory efficacy of BAI against T. gondii, positioning it as a promising alternative therapeutic agent for toxoplasmosis.
Animals ; Toxoplasma/drug effects* ; Flavanones/therapeutic use* ; Mice ; Antiparasitic Agents/therapeutic use* ; Mice, Inbred ICR ; Toxoplasmosis/drug therapy* ; Female

This study employs ultra-performance liquid chromatography(UPLC) to analyze the differences in alkaloid content of Commelina communis from various geographical origins, exploring its feasibility as a quality evaluation indicator. A total of 57 batches of C. communis samples from 23 provinces, autonomous regions, and municipalities in China were selected. The MicroPulite HSS T3(2.1 mm×50 mm, 1.8 μm)column was used with a mobile phase of acetonitrile-0.2% phosphoric acid aqueous solution(20∶80), detection wavelength at 254 nm, and a flow rate of 0.3 mL·min~(-1) to measure the content of 1-deoxynojirimycin(DNJ) and deoxymannojirimycin(DMJ). The MicroPulite XP tC_(18)(2.1 mm×100 mm, 1.7 μm)column was employed with a mobile phase of acetonitrile-0.2% phosphoric acid aqueous solution(4∶96), detection wavelength at 254 nm, and a flow rate of 0.4 mL·min~(-1) to measure the content of norharmine(NHM) and harmanme(HM). Chemometric methods were applied to study the relationships and differences among the 57 batches of C. communis. Significant differences in alkaloid content were observed among C. communis from different regions, with the average total content decreasing in the order of North China, Northeast China, Northwest China, East China, Southwest China, Central China, and South China. Cluster analysis(CA) and principal component analysis(PCA) further revealed the quality differences of C. communis from various origins, and partial least squares discriminant analysis(PLS-DA) identified DNJ as a marker compound to distinguish the quality differences between different geographical sources of C. communis. It is recommended that the content limit of DNJ be set at no less than 0.055 9%, providing a reference for the quality evaluation and clinical application of C. communis medicinal materials.
Alkaloids/analysis* ; Drugs, Chinese Herbal/chemistry* ; China ; Chromatography, High Pressure Liquid ; Chemometrics/methods* ; Quality Control

ObjectiveTo explore the characteristics of ecological niche and interspecific relationships of mosquitoes in different habitats in Dongcheng District, Beijing, and to provide a basis for mosquito ecological monitoring, control and the development or optimization of prevention and control strategies for related mosquito-borne diseases. MethodsFrom May to October 2023, the ecological monitoring in residential areas, parks, tourist attractions and medical institutions in Dongcheng District of Beijing was carried out using the carbon dioxide (CO₂) mosquito trapping method, and the ecological niche characteristics and interspecific relationships of mosquitoes in different habitats were analyzed using Levins ecological niche breadth index, Pinaka ecological niche overlap index and ecological niche similarity coefficients. ResultsThe temporal ecological niche of Culex pipiens pallens (10.62) was higher than that of Aedes albopictus (8.29) in different habitats in Dongcheng District of Beijing, and the temporal ecological niche overlap index of the two mosquitoes was as high as 0.87. The ecological niche breadth of Culex pipiens pallens was higher than that of Aedes albopictus in different monitoring habitats, and the order of the ecological niche breadth of Culex pipiens pallens in different monitoring habitats was, from high to low, as follows: residential areas (11.09) > tourist attractions (10.25) > medical institutions (9.15) > parks (9.07), while the ecological niche breadth of Aedes albopictus in different habitats was, in descending order, residential areas (8.56) > medical institutions (7.68) > parks (7.44) > tourist attractions (5.73). The results of niche overlap analysis showed that the overlap index between Culex pipiens pallens and Aedes albopictus was the largest in residential areas (0.86), as for in other habitats, which was, in descending order, parks (0.81) > medical institutions (0.68) > tourist attractions (0.60). Besides, the ecological similarity coefficients further verified that similarity coefficients, between the two mosquito species, were highest in residential areas (0.712), lowest in tourist attractions (0.497), and which were 0.675 in parks and 0.598 in medical institutions, respectively. ConclusionIn different monitoring habitats in Dongcheng District of Beijing, Culex albopictus pallens demonstrates a stronger spatio-temporal resource utilization ability than Aedes albopictus, and the two species exhibit more similar spatio-temporal resource utilization patterns in residential areas. Corresponding control strategies targeting the characteristics of ecological niches and interspecific relationships of these two mosquito species in different habitats should be developed to enhance the prevention and control effect.

In recent years, the application of artificial intelligence (AI) in the field of biology has witnessed remarkable advancements. Among these, the most notable achievements have emerged in the domain of protein structure prediction and design, with AlphaFold and related innovations earning the 2024 Nobel Prize in Chemistry. These breakthroughs have transformed our ability to understand protein folding and molecular interactions, marking a pivotal milestone in computational biology. Looking ahead, it is foreseeable that the accurate prediction of various physicochemical properties of proteins—beyond static structure—will become the next critical frontier in this rapidly evolving field. One of the most important protein properties is thermodynamic stability, which refers to a protein’s ability to maintain its native conformation under physiological or stress conditions. Accurate prediction of protein stability, especially upon single-point mutations, plays a vital role in numerous scientific and industrial domains. These include understanding the molecular basis of disease, rational drug design, development of therapeutic proteins, design of more robust industrial enzymes, and engineering of biosensors. Consequently, the ability to reliably forecast the stability changes caused by mutations has broad and transformative implications across biomedical and biotechnological applications. Historically, protein stability was assessed via experimental methods such as differential scanning calorimetry (DSC) and circular dichroism (CD), which, while precise, are time-consuming and resource-intensive. This prompted the development of computational approaches, including empirical energy functions and physics-based simulations. However, these traditional models often fall short in capturing the complex, high-dimensional nature of protein conformational landscapes and mutational effects. Recent advances in machine learning (ML) have significantly improved predictive performance in this area. Early ML models used handcrafted features derived from sequence and structure, whereas modern deep learning models leverage massive datasets and learn representations directly from data. Deep neural networks (DNNs), graph neural networks (GNNs), and attention-based architectures such as transformers have shown particular promise. GNNs, in particular, excel at modeling spatial and topological relationships in molecular structures, making them well-suited for protein modeling tasks. Furthermore, attention mechanisms enable models to dynamically weigh the contribution of specific residues or regions, capturing long-range interactions and allosteric effects. Nevertheless, several key challenges remain. These include the imbalance and scarcity of high-quality experimental datasets, particularly for rare or functionally significant mutations, which can lead to biased or overfitted models. Additionally, the inherently dynamic nature of proteins—their conformational flexibility and context-dependent behavior—is difficult to encode in static structural representations. Current models often rely on a single structure or average conformation, which may overlook important aspects of stability modulation. Efforts are ongoing to incorporate multi-conformational ensembles, molecular dynamics simulations, and physics-informed learning frameworks into predictive models. This paper presents a comprehensive review of the evolution of protein thermodynamic stability prediction techniques, with emphasis on the recent progress enabled by machine learning. It highlights representative datasets, modeling strategies, evaluation benchmarks, and the integration of structural and biochemical features. The aim is to provide researchers with a structured and up-to-date reference, guiding the development of more robust, generalizable, and interpretable models for predicting protein stability changes upon mutation. As the field moves forward, the synergy between data-driven AI methods and domain-specific biological knowledge will be key to unlocking deeper understanding and broader applications of protein engineering.

OBJECTIVE To summarize the implementation experiences of the China Hospital Association’s Clinical Pharmacist Instructor Training Program Reform， and to evaluate the effectiveness of the reform， thus continuously enhancing the quality and standards of clinical pharmacist instructor training. METHODS The study drew on project evaluation methodologies to summarize the main characteristics of the comprehensive system and new model for clinical pharmacist instructor training established through the reform by literature review. The “learning assessment” and “reaction assessment” were conducted by using Kirkpatrick’s four-level model of evaluation in order to evaluate the effectiveness of the clinical pharmacist instructor training reform through statistically processing and analyzing the performance data and teaching evaluation data of the instructor participants. Based on problem and trend analysis， the future development directions were anticipated for the reform of clinical pharmacist instructor training. RESULTS & CONCLUSIONS The latest round of clinical pharmacist instructor training reform initiated by the Chinese Hospital Association had initially established a four-pronged training system encompassing “recruitment， training， assessment， and management”. It had also forged a training 。 model “oriented towards enhancing clinical teaching competency， with practical learning and skill-based assessment conducted on clinical teaching sites as its core”. Following a period of over three years of gradual reform， the new training system and model became increasingly mature. In both 2023 and 2024， the participants achieved relatively high average total scores in their initial completion assessments [with scores of （84.05± 5.83） and （85.82±4.35） points， respectively]. They also reported a strong sense of gain from the training reform [with self- perceived gain scores of （4.80±0.44） and （4.85±0.39） points， respectively]. The operation and implementation effects of the reform were generally satisfactory. In the future， clinical pharmacist instructor training reforms should continue to address the issues remaining from the current phase， while aligning with global trends in pharmacy education and industry development. Additionally， sustained exploration and practice will be carried out around the core objective of “enhancing clinical teaching competence”.

The mechanism of L-perilla alcohol(L-POH) in intervening hypoxic pulmonary hypertension(HPAH) was discussed based on network pharmacology, and experimental verification. The active components and potential targets of the volatile oil of Rhodiola tangutica(VORA) in the intervention of HPAH were screened by network pharmacology. The biological process of Gene Ontology(GO) and the signaling pathway enrichment of Kyoto Encyclopedia of Genes and Genomes(KEGG) were analyzed for the core targets, and a "component-common target-disease" network was constructed. Four active components were screened from VORA: L-POH, linalool, geraniol, and(-)-myrtenol. The core targets for treating HPAH were HSP90AA1, AKT1, ESR1, PIK3CA, EP300, EGFR, and JAK2. GO enrichment analysis mainly involved biological processes such as reaction to hypoxia, heme binding, and steroid binding. KEGG enrichment analysis mainly involved hypoxia-inducing factor 1(HIF-1) signaling pathway, phosphatidylinositol 3-kinase/protein kinase B(PI3K/AKT) signaling pathway, and Janus kinase/activator of signal transduction and transcription(JAK/STAT) signaling pathway. The vasodilation effects of the four active components were screened by perfusion experiment of extracorporeal vascular rings, and the mechanism of the main active component L-POH was studied by channel blockers. The inhibitory effects of the four active components on the proliferation of pulmonary artery smooth muscle cells(PASMCs) induced by hypoxia were screened by cell proliferation experiment, and the mechanism of the main active component L-POH was studied by flow cytometry, cell cycle experiment, and Western blot. The results showed that L-POH could directly act on vascular smooth muscle to relax pulmonary arterioles, induce ATP-sensitive potassium channels to open, and inhibit extracellular Ca~(2+) influx through voltage-gated calcium channels to relax blood vessels. In addition, L-POH could inhibit the abnormal proliferation of PASMCs induced by hypoxia and promote its apoptosis, and its mechanism may be related to the increase in Bax protein expression and the decrease in p-JAK2, p-STAT3, Bcl-2, and cyclinA2 protein expression. In summary, L-POH can interfere with HPAH by relaxing pulmonary arterioles and inhibiting the proliferation of smooth muscle cells.
Network Pharmacology ; Animals ; Hypertension, Pulmonary/physiopathology* ; Drugs, Chinese Herbal/administration & dosage* ; Rats ; Hypoxia/metabolism* ; Rhodiola/chemistry* ; Signal Transduction/drug effects* ; Humans ; Monoterpenes/chemistry* ; Male ; Cell Proliferation/drug effects* ; Rats, Sprague-Dawley

OBJECTIVES: To investigate the prognostic value of molecular minimal residual disease (Mol-MRD) monitored before and after allogeneic hematopoietic stem cell transplantation (HSCT) in pediatric acute myeloid leukemia (AML). METHODS: Clinical data of 71 pediatric AML patients who underwent HSCT between August 2016 and December 2023 were analyzed. Mol-MRD levels were dynamically monitored in MRD-positive patients, and survival outcomes were evaluated. RESULTS: No significant difference in the 3-year overall survival (OS) rate was observed between patients with pre-HSCT Mol-MRD ≥0.01% and <0.01% (77.3% ± 8.9% vs 80.4% ± 7.9%, P=0.705). However, patients with pre-HSCT Mol-MRD <1.75% had a significantly higher 3-year OS rate than those with Mol-MRD ≥1.75% (86.6% ± 5.6% vs 44.4% ± 16.6%, P=0.020). The median Mol-MRD level in long-term survivors was significantly lower than in non-survivors [0.61% (range: 0.04%-51.58%)] vs 10.60% (range: 1.90%-19.75%), P=0.035]. Concurrent flow cytometry-based MRD positivity was significantly higher in non-survivors (80% vs 24%, P=0.039). There was no significant difference in the 3-year overall survival rate between patients with Mol-MRD ≥0.01% and those with <0.01% at 30 days post-HSCT (P=0.527). For children with Mol-MRD <0.22% at 30 days post-HSCT, the 3-year overall survival rate was 80.4% ± 5.9%, showing no significant difference compared to those with molecular negativity (87.0% ± 7.0%) (P=0.523). CONCLUSIONS Patients with pre-HSCT Mol-MRD <1.75% or post-HSCT Mol-MRD <0.22% may achieve long-term survival outcomes comparable to Mol-MRD-negative cases through HSCT and targeted interventions.
Humans ; Hematopoietic Stem Cell Transplantation ; Neoplasm, Residual ; Leukemia, Myeloid, Acute/genetics* ; Child ; Male ; Female ; Child, Preschool ; Prognosis ; Adolescent ; Infant ; Transplantation, Homologous

OBJECTIVE: To compare and analyze the changes of aggregation rate and routine parameters of platelets stored in temperature cycle, cold storage at 4 ℃ and oscillating storage at 22 ℃, so as to provide more experimental data for platelet preservation methods. METHODS: Blood samples were collected at 5 time points on the 1^st, 2^nd, 3^rd, 4^th and 6^th day after platelet cycling preservation at temperature, cold storage at 4 ℃, and oscillating storage at 22 ℃. Platelet maximum aggregation rate (MAR) and routine parameters including platelet count (PLT), mean platelet volume (MPV), platelet distribution width (PDW) and platelet-larger cell ratio (P-LCR) were detected. RESULTS: The platelet MAR of three groups showed a significant decrease trend with the preservation time, the fastest decrease was in the 22 ℃ group, the slowest was in the 4 ℃ group, and the temperature cycle group was between the two groups. On the 3^rd day of preservation, the platelet MAR in 4 ℃ group was still in the normal range (MAR>60%), while in temperature cycle group was about 50%, and in 22 ℃ group was the lowest. On the 4^th day of preservation, platelet MAR in all the three groups was lower than 50%, and that in temperature cycle group was significantly lower than in 4 ℃ group but higher than in 22 ℃ group (both P < 0.05). On the 6^th day of preservation, platelet MAR in the temperature cycle group was significantly lower than that in the 4 ℃ group ( P <0.05), but there was no statistically significant difference compared to 22 ℃ group (P >0.05). PLT values in the three groups were all significantly decreased with the preservation time extension, and were significantly lower than those in the early stage of preservation within 6 days (all P < 0.05). PDW in temperature cycle group had no significant change within 6 days of preservation, but MPV and P-LCR were significantly increased. MPV, PDW and P-LCR all decreased significantly in 4 ℃ group within 6 days of preservation but increased in 22 ℃ group. Under the same storage days, PLT value of temperature cycle group had no significant difference with that of 4 ℃ group and 22 ℃ group, while MPV, PDW and P-LCR values were significantly higher than 4 ℃ group but lower than 22 ℃ group (all P < 0.05). CONCLUSION The aggregation function and routine parameters changes of temperature circulating preserved platelets are between 4 and 22 ℃.
Humans ; Platelet Aggregation ; Blood Preservation/methods* ; Temperature ; Blood Platelets ; Platelet Count ; Mean Platelet Volume ; Cryopreservation/methods* ; Cold Temperature