ObjectiveTo explore the potential mechanism of Xiaoqinglong Decoction （小青龙汤， XD） in the treatment of allergic rhinitis. MethodsForty-five rats were randomly assigned to a control group， a model group， a loratadine group， low-， medium- and high-dose XD groups， and low-， medium- and high-dose Mahuang Decoction and Cang'erzi Powder （麻黄汤合苍耳子散， MDCP） groups. Except for the control group， rats were administered with ovalbumin （OVA） and aluminum hydroxide via intraperitoneal injection for 14 days to establish an allergic rhinitis model. After the 14th-day injection， nasal stimulation was continued with 20 μl of 10% OVA solution to maintain the model. Rats in the control group and the model group received 10 ml/（kg·d） of saline， whereas those in the loratadine group were administered with 0.9 mg/（kg·d） of loratadine. The low-， medium- and high-dose XD groups were administered XD at the dose of 2.7， 5.4， and 10.8 g/（kg·d）， respectively. The low-， medium- and high-dose MDCP groups were administered MDCP at the dose of 2.43， 4.86， and 9.72 g/（kg·d）， respectively. All treatments were administered by gavage once daily for 7 consecutive days. One hour after the final gavage， nasal symptom scores were recorded for all group of rats. The next day， serum levels of immunoglobulin E （IgE）， interleukin-4 （IL-4）， and interleukin-13 （IL-13） were measured. HE staining was used to observe the pathological morphology of the nasal mucosal tissue. Quantitative reverse transcription PCR （RT-qPCR） and Western Blot were performed to assess mRNA and protein expression of thymic stromal lymphopoietin （TSLP） and OX40 ligand （OX40L） in the nasal mucosa. ResultsCompared to the control group， total nasal symptom score in the model group significantly increased （P＜0.01）. HE staining revealed disrupted and adhered cilia， thickened basement membranes， and extensive inflammatory cell infiltration in the nasal mucosa. Serum levels of total IgE， IL-4， and IL-13， as well as TSLP and OX40L mRNA and protein expression in the nasal mucosa， were significantly elevated in the model group （P＜0.05 or P＜0.01）. Compared to the model group， the total nasal symptom scores in all drug intervention groups were significantly reduced； the serum total IgE levels in the loratadine group， the low- and medium-dose XD groups， and the low- and high-dose MDCP groups were significantly reduced； and the serum levels of IL-4 and IL-13 in the high-dose XD group and the high-dose MDCP group decreased （P＜0.05 or P＜0.01）. Nasal mucosal structure was improved. Except for the low-dose MDCP group， all other intervention groups showed a significant reduction in TSLP and OX40L mRNA expression in the nasal mucosa （P＜0.01）. All doses of XD and the medium- and high-dose MDCP groups significantly decreased the protein levels of TSLP and OX40L （P＜0.05）. The medium-dose XD group exhibited more improvement of nasal symptom scores and greater suppression of expression of TSLP and OX40L mRNA， and TSLP protein levels compared to the loratadine group （P＜0.05）. ConclusionXD may protect nasal mucosa of rats and alleviate allergic rhinitis by suppressing the TSLP/OX40L pathway， thereby attenuating Th2-mediated immune responses.

ObjectiveTo explore the potential mechanism of Xiaoqinglong Decoction （小青龙汤， XD） in the treatment of allergic rhinitis. MethodsForty-five rats were randomly assigned to a control group， a model group， a loratadine group， low-， medium- and high-dose XD groups， and low-， medium- and high-dose Mahuang Decoction and Cang'erzi Powder （麻黄汤合苍耳子散， MDCP） groups. Except for the control group， rats were administered with ovalbumin （OVA） and aluminum hydroxide via intraperitoneal injection for 14 days to establish an allergic rhinitis model. After the 14th-day injection， nasal stimulation was continued with 20 μl of 10% OVA solution to maintain the model. Rats in the control group and the model group received 10 ml/（kg·d） of saline， whereas those in the loratadine group were administered with 0.9 mg/（kg·d） of loratadine. The low-， medium- and high-dose XD groups were administered XD at the dose of 2.7， 5.4， and 10.8 g/（kg·d）， respectively. The low-， medium- and high-dose MDCP groups were administered MDCP at the dose of 2.43， 4.86， and 9.72 g/（kg·d）， respectively. All treatments were administered by gavage once daily for 7 consecutive days. One hour after the final gavage， nasal symptom scores were recorded for all group of rats. The next day， serum levels of immunoglobulin E （IgE）， interleukin-4 （IL-4）， and interleukin-13 （IL-13） were measured. HE staining was used to observe the pathological morphology of the nasal mucosal tissue. Quantitative reverse transcription PCR （RT-qPCR） and Western Blot were performed to assess mRNA and protein expression of thymic stromal lymphopoietin （TSLP） and OX40 ligand （OX40L） in the nasal mucosa. ResultsCompared to the control group， total nasal symptom score in the model group significantly increased （P＜0.01）. HE staining revealed disrupted and adhered cilia， thickened basement membranes， and extensive inflammatory cell infiltration in the nasal mucosa. Serum levels of total IgE， IL-4， and IL-13， as well as TSLP and OX40L mRNA and protein expression in the nasal mucosa， were significantly elevated in the model group （P＜0.05 or P＜0.01）. Compared to the model group， the total nasal symptom scores in all drug intervention groups were significantly reduced； the serum total IgE levels in the loratadine group， the low- and medium-dose XD groups， and the low- and high-dose MDCP groups were significantly reduced； and the serum levels of IL-4 and IL-13 in the high-dose XD group and the high-dose MDCP group decreased （P＜0.05 or P＜0.01）. Nasal mucosal structure was improved. Except for the low-dose MDCP group， all other intervention groups showed a significant reduction in TSLP and OX40L mRNA expression in the nasal mucosa （P＜0.01）. All doses of XD and the medium- and high-dose MDCP groups significantly decreased the protein levels of TSLP and OX40L （P＜0.05）. The medium-dose XD group exhibited more improvement of nasal symptom scores and greater suppression of expression of TSLP and OX40L mRNA， and TSLP protein levels compared to the loratadine group （P＜0.05）. ConclusionXD may protect nasal mucosa of rats and alleviate allergic rhinitis by suppressing the TSLP/OX40L pathway， thereby attenuating Th2-mediated immune responses.

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 observe changes of white matter function in adolescent smoker(AS)with resting-state functional MRI(rs-fMRI)fractional amplitude of low-frequency fluctuation(fALFF)technique.Methods Forty-five adolescents(AS group)and 45 control subjects(control group)were prospectively enrolled,and brain rs-fMRI were acquired.Brain regions with fALFF being different between groups were observed,and the correlations with clinical indicators were analyzed.Results Compared with that in control group,fALFF of the right superior longitudinal fasciculus significantly elevated in AS group(FDR correct Q＜0.05),in which the peak of the cluster was positively correlated with score of Fagerstr?m test for nicotine dependence(FTND)(r=0.294,P=0.049).Conclusion White matter function changed in AS,presenting as significantly increased fALFF in right superior longitudinal fasciculus,which was positively correlated with nicotine dependence.

OBJECTIVE To understand the disinfectant-resistant genes in the gram-negative bacteria isolated from the dirt retention on air recure filters of air conditioners and observe the drug resistance.METHODS The dirt re-tention samples were collected from the air return filters of air conditioners of some wards in 3 hospitals of Wuhan(Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology,Wuhan Central Hospital,and Hubei Provincial Maternal and Child Health Hospital)from 2018 to 2024.The gram-negative bac-teria were screened out,the disinfectant-resistant genes in the strains were detected by polymerase chain reaction(PCR),and the results of drug susceptibility test were analyzed.RESULTS Of 354 dirt retention samples that were collected from the air return filers of air conditioners,77 were detected with 138 strains of gram-negative bacteria,87 of which were Acinetobacter baumannii,50 were Enterobacteriaceae,and 1 was Pseudomonas aerug-inosa.The detection rates of qacEΔ1,qacEΔ1-sul1,aceI and qacA/B were 73.19％,82.61％,69.57％and 2.90％,respectively.None of the strains were detected with qacC,qacH or qacJ.The result of drug susceptibility test showed that 76.81％of the gram-negative bacteria were resistant to at least 1 type of antibiotic;93 strains of multidrug-resistant gram-negative bacteria were isolated,most of which were isolated from intensive care unit(ICU).The detection rates of qacEΔ1 and qacEΔ1-sul1 were higher in the drug-resistant strains than those in the non-drug-resistant strains;there were significant differences in the drug resistance rates to carbapenems,quin-olones and β-lactams between the qacEΔ1-sul 1-positive strains and the qacEΔ1-sul1-negative strains(P＜0.05).CONCLUSIONS There are drug-resistant gram-negative bacteria contaminations in some wards of the 3 hospitals in Wuhan.The carrying rates of disinfectant-resistant genes of the strains are high,and the strains show varying degree of resistance to the commonly used antibiotics;the strains carrying the qacEΔ1-sul1 have certain statistical association with the drug resistance.It is suggested that the hospital should take targeted disinfec-tion measures for the environment and reasonably use antibiotics.

As the world's second largest vector of pathogens,ticks can spread a variety of pathogens by sucking the host's blood.Ticks not only threaten human life and health,but also cause great economic losses in animal husbandry.Artificial breeding of ticks can provide a stable environment for the growth and reproduction of ticks,thereby generating sufficient exper-imental materials for understanding ticks'biological characteristics,studying tick-borne pathogens,and developing anti-tick drugs and vaccines.Current methods of breeding ticks in the laboratory can be roughly divided into two categories:breeding methods using host animals or artificial membranes.The selection of breeding method must be comprehensively considered,ac-cording to tick types,blood-sucking habits,living environments,and other aspects.The development processes of the two methods,and their respective advantages and disadvantages,are described and discussed,to assist laboratories in artificial breeding of ticks.

Prostate cancer is one of the most common male urological malignancies,in which bone metastasis of desmo-plasia-resistant prostate cancer is an important stage in the progression of the disease,which seriously affects the quality of life and survival of patients.With the development of nuclide therapy technology in recent years,223-Ra,as a new type of alpha-targeted therapy,has shown good efficacy in the treatment of desmoplasia-resistant prostate cancer bone metastasis.The purpose of this pa-per is to review the characteristics,mechanism of action,treatment,and the main research results of its treatment of desmoplasia-resistant prostate cancer bone metastasis,and provide a comprehensive review of the clinical application of 223-Ra in the treatment of desmoplasia-resistant prostate cancer bone metastasis for the clinical application of 223-Ra in prostate cancer bone metastasis.

Chinese medicine intestinal administration(CMIA)can avoid the degradation of drugs in gastric acid,bypass the first-pass effect of the liver,and deliver drugs directly to the lesion site.This approach increases local drug concentration,reduces drug dosage,and enhances bioavailability.This study systematically introduces the advantages,drug dosage forms,and whole-colon deliv-ery technologies of CMIA for treating UC,and reviews its mechanisms of action,including repairing intestinal epithelial layer and mu-cous layer,regulating the intestinal microbiota,improving immune function,and promoting local blood circulation.It also analyzes the current progress and limitations of research,aiming to provide a more solid theoretical basis for the treatment of UC with Chinese medi-cine and to offer references for the development of UC therapeutic drugs and administration methods.

Chinese medicine intestinal administration(CMIA)can avoid the degradation of drugs in gastric acid,bypass the first-pass effect of the liver,and deliver drugs directly to the lesion site.This approach increases local drug concentration,reduces drug dosage,and enhances bioavailability.This study systematically introduces the advantages,drug dosage forms,and whole-colon deliv-ery technologies of CMIA for treating UC,and reviews its mechanisms of action,including repairing intestinal epithelial layer and mu-cous layer,regulating the intestinal microbiota,improving immune function,and promoting local blood circulation.It also analyzes the current progress and limitations of research,aiming to provide a more solid theoretical basis for the treatment of UC with Chinese medi-cine and to offer references for the development of UC therapeutic drugs and administration methods.

OBJECTIVE To explore the optimal parameters of simmered Rhei Radix et Rhizoma and the correlation between the chroma values and the intrinsic composition of simmered Rhei Radix et Rhizoma decoction pieces powder.METHODS The single-factor-response surface method was used to investigate the simmering temperature,simmering time,paper dosage and plant ash dos-age,the response surface experiment was carried out on the basis of the single factor experiment,the appearance traits,total anthraqui-nones,free anthraquinones,leachables,sennoside A and B contents were taken as indicators,the analytic hierarchy process(AHP)was used to give weights to each index,and the process was optimized.The chroma values of raw and simmered products were deter-mined by electronic eye,the correlation and regression analysis were carried out by SPSS22.0 software,and the chroma-component re-gression equation was constructed.RESULTS The optimal process of simmering Rhei Radix et Rhizoma was 140 ℃,5 times of plant ash,2 layers of wet paper wrapped and being simmered for 2.5 h.CONCLUSION The simmering process of Rhei Radix et Rhizoma optimized by AHP combined with response surface method is reasonable and feasible,the color of decoction pieces has a significant correlation with the component content,and the regression equation constructed is reliable,which can predict the intrinsic component content of decoction pieces through chroma values.