This paper summarizes Professor HAN Mingxiang's clinical experience in treating chronic obstructive pulmonary disease （COPD）. He believes that the key pathomechanism of COPD in the acute exacerbation stage is the invasion of external pathogens triggering latent illness， while lung qi deficiency is the primary mechanism in the stable stage. The core pathological factors throughout disease progression are deficiency， phlegm， and blood stasis. Treatment emphasizes a staged and syndrome-based approach. During the acute exacerbation stage， for wind-cold invading the lung syndrome， the self-formulated Sanzi Wenfei Decoction （三子温肺汤） is used to relieve the exterior， dispel cold， warm the lung， and resolve phlegm. For phlegm-dampness obstructing the lung syndrome， Huatan Jiangqi Fomulation （化痰降气方） is prescribed to warm the lung， transform phlegm， descend qi， and calm wheezing. For phlegm-heat obstructing the lung syndrome， Qingfei Huatan Fomulation （清肺化痰方） is applied to clear heat， resolve phlegm， moisten the lung， and stop coughing. For phlegm and blood stasis interlocking syndrome， Qibai Pingfei Fomulation （芪白平肺方） is used to tonify qi， resolve phlegm， and activate blood circulation to remove stasis. During the stable stage， for lung qi deficiency syndrome， Shenqi Wenfei Decoction （参芪温肺汤） is employed to warm the lung， tonify qi， resolve phlegm， and eliminate turbidity. For lung-spleen qi deficiency syndrome， Shenqi Buzhong Decoction （参芪补中汤） is utilized to strengthen the spleen， tonify qi， and reinforce metal （lung） from earth （spleen）. For lung-kidney deficiency syndrome， Shenqi Tiaoshen Fomulation （参芪调肾方） is prescribed to tonify the lung， warm yang， and regulate kidney function to calm wheezing. These strategies provide insights into the traditional Chinese medicine treatment of COPD.

This paper summarizes Professor HAN Mingxiang's clinical experience in the use of Zeqi （Euphorbia HelioscopiaL.）. It is believed that Zeqi （Euphorbia HelioscopiaL.） has the effects of promoting qi， relieving water retention and swelling， resolving phlegm， stopping cough， dissipating masses， activating blood， removing stasis， and detoxifying. In clinical practice， Zeqi （Euphorbia HelioscopiaL.） is flexibly applied in the treatment of skin diseases， respiratory diseases， tumors， etc. For instance， in treating psoriasis with the pathogenesis of damp-heat toxin， a compound prescription of Zeqi Decoction （泽漆汤） is formulated. For bronchial asthma with kidney deficiency and water retention， Zeqi Decoction is commonly combined with Wuling Powder （五苓散） in adjusted doses. For lung nodules with a combination of deficiency， phlegm， stasis， and toxin， a Lung Nodule Prescription is proposed. For advanced lung cancer with both qi and yin deficiency and toxin accumulation， Qiyu Sanlong Decoction （芪玉三龙汤） is suggested， and for cancer-related ascites with qi deficiency and water retention， Wuling Powder combined with Zeqi （Euphorbia HelioscopiaL.）is chosen.

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 analyze the correlation between hip joint musculoskeletal ultrasound score and ankylosing spondylitis(AS)disease activity,as well as to investigate the value of high frequency ultrasound in the assessment of hip joint involvement in AS.Methods The clinical data of 244 patients with AS who were treated in the rheumatology department of from March 2019 to March 2022 were retrospectively analyzed.Among them,there 174 males and 70 females,aged from 19 to 58 years old with an average of(34.22±9.49)years old;the disease duration of AS patients ranged from 8 months to 26 years,with an average of(13.68±4.04)years.The 244 patients were divided into disease group(83 cases)and control group(161 cases)based in the presence of hip joint involuement.According to the the disease activity,patients in the disease group were further categorezed into active phase(45 cases)and stable phase(38 cases).The ultrasound scores of patients in the active and stable phases of the disease group and the control group were compared.Relevant factors of hip joint involvement in AS patients were analyzed,and analyze the correlation between ultrasound score and Bath ankylosing spondylitis disease activity score index(BASD AI),Bath ankylosing spondylitis functional index(BASFI),visual analogue score of pain(VAS),C-reactive protein(CRP),erythrocyte sedimentation rate(ESR),and the correlation between hip joint capsule score and tendon attach-ment end score and BASDAI,BASFI,VAS,CRP and ESR.Results The hip joint capsule score(3.06±1.12),femoral head score(1.45±0.43),tendon attachment end score(3.28±1.30)and total ultrasound score(6.65±2.31)of the disease group were higher than those of the control group(1.51±0.48)、(0.66±0.27)、(1.61±0.53)、(3.81±1.44)scores(P＜0.05).Multifactor Logstic re-gression analysis showed that the course of disease,hip joint capsule score and total ultrasound score were independent risk factors for hip involvement in AS patients.The hip capsule score(3.65±1.22)and total ultrasound score(8.28±2.33)in the ac-tive phase of the disease group were higher than those in the stable phase(2.48±1.04)、(6.82±1.96)scores(P＜0.05).The hip joint capsule score and total ultrasonic score of AS patients were positively correlated with BASDAI,BASFI,VAS,CRP,and ESR(P＜0.05,P＜0.01).The score of tendon attachment end was positively correlated with CRP(P＜0.05).The score of joint capsule effusion in AS patients was positively correlated with BASDAI,BASFI and VAS(P＜0.05,P＜0.01).The synovial blood flow score was positively correlated with BASDAI,VAS,CRP and ESR(P＜0.05,P＜0.01).The synovial thickening score was positively correlated with BASDAI,BASFI,VAS,CRP and ESR(P＜0.05,P＜0.01).There was no correlation between the score of tendon attachment end and BASDAI,BASFI,VAS,CRP and ESR.Conclusion There is a correlation between hip joint ul-trasonic score of hip joint and clinical indexes in AS patients.Hip joint capsule score and total ultrasonic score were indepen-dent risk factors for hip involvement in AS patients.High frequency ultrasound exhibits clinical value in the diagnosis of hip joint involvement in AS patients.

Objective To monitor the antifungal resistance of clinical isolates of Candida spp.in the East China region.Methods MALDI-TOF MS or molecular methods were used to re-identify the strains collected from January 2018 to December 2022.Antifungal susceptibility testing was performed using the broth microdilution method.The susceptibility test results were interpreted according to the breakpoints of 2022 Clinical and Laboratory Standards Institute(CLSI)documents M27 M44s-Ed3 and M57s-Ed4.Results A total of 3 026 strains of Candida were collected,65.33％of which were isolated from sterile body sites,mainly from blood(38.86％)and pleural effusion/ascites(10.21％).The predominant species of Candida were Candida albicans(44.51％),followed by Candida parapsilosis complex(19.46％),Candida tropicalis(13.98％),Candida glabrata(10.34％),and other Candida species(0.79％).Candida albicans showed overall high susceptibility rates to the 10 antifungal drugs tested(the lowest rate being 93.62％).Only 2.97％of the strains showed dose-dependent susceptibility(SDD)to fluconazole.Candida parapsilosis complex had a SDD rate of 2.61％and a resistance rate of 9.42％to fluconazole,and susceptibility rates above 90％to other drugs.Candida glabrata had a SDD rate of 92.01％and a resistance rate of 7.99％to fluconazole,resistance rates of 32.27％and 48.24％to posaconazole and voriconazole non-wild-type strains(NWT),respectively,and susceptibility rates above 90％to other drugs.Candida tropicalis had resistance rates of 29.55％and 26.24％to fluconazole and voriconazole,respectively,resistance rates of 76.60％and 21.99％to posaconazole and echinocandins non-wild-type strains(NWT),and a resistance rate of 2.36％to echinocandins.Conclusions The prevalence and species distribution of Candida spp.in the East China region are consistent with previous domestic and international reports.Candida glabrata exhibits certain degree of resistance to fluconazole,while Candida tropicalis demonstrates higher resistance to triazole drugs.Additionally,echinocandins resistance has emerged in Candida albicans,Candida glabrata,Candida tropicalis,and Candida parapsilosis.

Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-positive bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-positive bacteria from blood cultures in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System（BRICS）were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:A total of 3 163 strains of Gram-positive pathogens were collected from 51 member units，and the top five bacteria were Staphylococcus aureus（ n=1 147，36.3%），coagulase-negative Staphylococci（ n=928，29.3%）， Enterococcus faecalis（ n=369，11.7%）， Enterococcus faecium（ n=296，9.4%）and alpha-hemolyticus Streptococci（ n=192，6.1%）. The detection rates of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococci（MRCNS）were 26.4%（303/1 147）and 66.7%（619/928），respectively. No glycopeptide and daptomycin-resistant Staphylococci were detected. The sensitivity rates of Staphylococcus aureus to cefpirome，rifampin，compound sulfamethoxazole，linezolid，minocycline and tigecycline were all >95.0%. Enterococcus faecium was more prevalent than Enterococcus faecalis. The resistance rates of Enterococcus faecium to vancomycin and teicoplanin were both 0.5%（2/369），and no vancomycin-resistant Enterococcus faecium was detected. The detection rate of MRSA in southern China was significantly lower than that in other regions（ χ2=14.578， P=0.002），while the detection rate of MRCNS in northern China was significantly higher than that in other regions（ χ2=15.195， P=0.002）. The detection rates of MRSA and MRCNS in provincial hospitals were higher than those in municipal hospitals（ χ2=13.519 and 12.136， P<0.001）. The detection rates of MRSA and MRCNS in economically more advanced regions（per capita GDP≥92 059 Yuan in 2022）were higher than those in economically less advanced regions（per capita GDP<92 059 Yuan）（ χ2=9.969 and 7.606， P=0.002和0.006）. Conclusions:Among the Gram-positive pathogens causing bloodstream infections in China， Staphylococci is the most common while the MRSA incidence decreases continuously with time；the detection rate of Enterococcus faecium exceeds that of Enterococcus faecalis. The overall prevalence of vancomycin-resistant Enterococci is still at a low level. The composition ratio of Gram-positive pathogens and resistant profiles varies slightly across regions of China，with the prevalence of MRSA and MRCNS being more pronounced in provincial hospitals and areas with a per capita GDP≥92 059 yuan.

Objective:To evaluate the efficacy and safety of traditional Chinese medicine(TCM)in the treatment of male im-mune infertility(MII)by meta-analysis.Methods:We retrieved randomized controlled trial(RCT)on the treatment of male im-mune infertility with traditional Chinese medicine from the databases of WanFang,Chinese Biomedical Literature,Cochrane Library,Weipu,PubMed and CNKI,and performed methodological quality assessment of the RCTs identified and statistical analysis and evalua-tion of the publication bias using the RevMan5.4 software.Results:Totally,25 RCTs(2 563 cases)were included in this study.Compared with Western medicine alone in the treatment of MII,TCM achieved a significantly higher total effectiveness rate(OR=6.35,95% CI:4.96-8.13,P<0.000 01),negative conversion rate of seminal plasma anti-sperm antibodies(OR=4.52,95% CI:2.72-7.51,P<0.000 01),negative rate of serum anti-sperm antibodies(OR=2.98,95% CI:2.23-3.96,P<0.000 01),sperm concentration(MD=15.56,95% CI:11.32-19.79,P<0.000 01),grade a sperm motility(MD=3.85,95% CI:1.91-5.79,P=0.000 01),grade a+b sperm motility(MD=13.77,95% CI:7.06-20.48,P<0.000 1),sperm viability(MD=10.32,95% CI:6.78-13.86,P<0.000 01)and pregnancy rate(OR=3.53,95% CI:2.68-4.63,P<0.000 01),but a lower rate of adverse reactions(OR=0.06,95% CI:0.01-0.23,P<0.000 01).There was no statistically significant difference in the percentage of morphologically abnormal sperm between TCM and Western medicine alone in the treatment of MII(MD=-7.53,95% CI:-15.50-0.44,P=0.06).Conclusion:TCM has a definite effectiveness and high safe in the treatment of male immune infertility.

AIM To investigate the renoprotective effects and mechanism of Caragana sinica roots,Astragali Radix and their combination use on the rat model of diabetic kidney disease(DKD).METHODS Sixty SD rats were randomly divided into the normal group,the model group,the Empagliflozin group(10 mg/kg),the C.sinica roots group(3.1 g/kg),the Astragali Radix group(3.1 g/kg),and the C.sinica roots plus Astragali Radix group(6.2 g/kg).In contrast to the intact rats of the normal group,rats of the other groups underwent left nephrectomy and intraperitoneal injection of streptozotocin(STZ)followed by 8-week intragastric gavage of the corresponding agent,during which their levels of FBG and 24 h urinary microprotein(24 h U-mAlb)were detected regularly.The rats killed at the end of the trial had their levels of Scr,BUN and Cystatin C detected;their renal pathological changes observed by HE,PAS and Masson stainings;their expressions of macrophage marker proteins CD68 and iNOS detected by immunohistochemistry;their expressions of renal JNK/SAPK pathway proteins such as JNK,p-JNK,TNF-α,IL-1β and ICAM-1 detected by Western blot;and their serum levels of TNF-α,IL-1β and ICAM-1 detected by ELISA as well.RESULTS Compared with the normal group,the model group displayed increased levels of FBG,24 h U-mAlb,BUN,Scr and Cystatin C(P＜0.01);more renal pathological damage,and increased levels of TNF-α,IL-1β and ICAM-1 in the renal tissue and serum(P＜0.01);and increased renal protein expressions of JNK and p-JNK(P＜0.01).Compared with the model group,all of the groups intervened with an agent shared decreased levels of FBG,24 h U-mAlb,BUN,Scr and Cystatin C(P＜0.05,P＜0.01);alleviated renal pathological damage,and decreased levels of TNF-α,IL-1β and ICAM-1 in renal tissue and serum(P＜0.01).There existed no group difference between the Astragali Radix group and the C.sinica roots group in terms of all indices levels(P＞0.05).The C.sinica roots plus Astragali Radix group demonstrated its superiority over either C.sinica roots group or Astragali Radix group in terms of all the indices levels(P＜0.05,P＜0.01).CONCLUSION C.sinica roots,Astragali Radix or their combination use can alleviate the renal pathological damage and improve the renal function of DKD rats through inhibiting the M1 macrophages,reducing the secretion of inflammatory factors,whose mechanism may lie in the inhibition of JNK/SAPK signal pathway activation.A better effect can be anticipated by the combination use of C.sinica roots and Astragali Radix.

AIM To investigate the impact of the combination use of Caragana sinica Radix and Astragali Radix on a rat model of diabetic kidney disease(DKD).METHODS The SD rats were randomly divided into the normal group,the model group,the Engelgin group,the Caragana sinica Radix group,the Astragali Radix group and the Caragana sinica Radix-Astragali Radix compatibility group,with 10 rats in each group.Following the successful establishment of a DKD model by unilateral amputate renal combined with intraperitoneal injection of streptozotocin(STZ),the corresponding gastric gavage of drugs were administered for 8 weeks.The rats had their 24 h urinary microalbumin(24 h U-mALB)detected at 0,4 and 8 weeks;their levels of Scr,BUN,CysC,MDA and SOD activity detected by ELISA;their renal ROS expression detected by fluorescence probe method;their renal pathological changes observed by HE,PAS,Masson and PASM-Masson staining;their renal expressions of NOX4,Drp1,MFN2 and P62 detected by immunohistochemistry;and their renal expressions of PINK1,MFN2,Parkin,LC3-Ⅱ/Ⅰ,P62 and p-Drp1 proteins detected by Western blot.RESULTS Compared with the model group,each treatment group displayed lower contents of 24 h U-mALB,BUN,Scr and CysC in the serum of rats(P＜0.01);reduced pathological structure damage of the renal tissue;decreased MDA level in serum and kidney(P＜0.01);increased SOD activity(P＜0.01);increased renal protein expressions of PINK1,MFN2,Parkin and LC3-Ⅱ/Ⅰ(P＜0.05,P＜0.01);and decreased protein expressions of p-Drp1 and P62(P＜0.01).And the Astragali Radix group and the Caragana sinica Radix-Astragali Radix compatibility group took the lead(P＜0.05,P＜0.01).CONCLUSION Upon the rat model of DKD,the compatibility of Caragana sinica Radix and Astragali Radix may alleviate their renal pathological damage and improve their renal function by activating the mitochondrial autophagy to improve mitochondrial dynamics and inhibit their oxidative stress via PINK1/MFN2/Parkin pathway.

Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of national bloodstream infection Bacterial Resistant Investigation Collaborative System（BRICS）were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:During the study period，9 035 strains of Gram-negative bacteria were collected from 51 hospitals，of which 7 895（87.4%）were Enterobacteriaceae and 1 140（12.6%）were non-fermenting bacteria. The top 5 bacterial species were Escherichia coli（ n=4 510，49.9%）， Klebsiella pneumoniae（ n=2 340，25.9%）， Pseudomonas aeruginosa（ n=534，5.9%）， Acinetobacter baumannii complex（ n=405，4.5%）and Enterobacter cloacae（ n=327，3.6%）. The ESBLs-producing rates in Escherichia coli， Klebsiella pneumoniae and Proteus spp. were 47.1%（2 095/4 452），21.0%（427/2 033）and 41.1%（58/141），respectively. The prevalence of carbapenem-resistant Escherichia coli（CREC）and carbapenem-resistant Klebsiella pneumoniae（CRKP）were 1.3%（58/4 510）and 13.1%（307/2 340）；62.1%（36/58）and 9.8%（30/307）of CREC and CRKP were resistant to ceftazidime/avibactam combination，respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex was 59.5%（241/405），while less than 5% of Acinetobacter baumannii complex was resistant to tigecycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa（CRPA）was 18.4%（98/534）. There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of main Gram-negative bacteria resistance among different regions，with statistically significant differences in the prevalence of CRKP and CRPA（ χ2=20.489 and 20.252， P<0.001）. The prevalence of CREC，CRKP，CRPA，CRAB，ESBLs-producing Escherichia coli and Klebsiella pneumoniae were higher in provinicial hospitals than those in municipal hospitals（ χ2=11.953，81.183，10.404，5.915，12.415 and 6.459， P<0.01 or <0.05），while the prevalence of CRPA was higher in economically developed regions（per capita GDP ≥ 92 059 Yuan）than that in economically less-developed regions（per capita GDP <92 059 Yuan）（ χ2=6.240， P=0.012）. Conclusions:The proportion of Gram-negative bacteria in bloodstream infections shows an increasing trend，and Escherichia coli is ranked in the top，while the trend of CRKP decreases continuously with time. Decreasing trends are noted in ESBLs-producing Escherichia coli and Klebsiella pneumoniae. Low prevalence of carbapenem resistance in Escherichia coli and high prevalence in CRAB complex have been observed. The composition ratio and antibacterial spectrum of bloodstream infections in different regions of China are slightly different，and the proportion of main drug resistant bacteria in provincial hospitals is higher than those in municipal hospitals.