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.

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.

The banana Fusarium wilt (BFW) caused by Fusarium oxysporum f. sp. cubense tropical race4 (FocTR4) is difficult to control worldwide, which causes a huge economic losse to banana industry. The purpose of this study was to screen Trichoderma strains with antagonistic activity against FocTR4, to isolate and purify the active compound from the fermentation broth, so as to provide important biocontrol strains and active compound resources. In this work, Trichoderma strains were isolated and screened from the rhizosphere soil of crops, and the strains capable of efficiently inhibiting FocTR4 were screened by plate confrontation, and further confirmed by testing inhibition for the conidial germination and mycelial growth of FocTR4. The phylogenetic tree clarified the taxonomic status of the biocontrol strains. Moreover, the active components in the fermentation broth of the strains were separated and purified by column chromatography, the structure of the most active component was analyzed by nuclear magnetic resonance spectroscopy (NMR), the BFW control effect was tested by pot experiments. We obtained a strain JSHA-CD-1003 with antagonistic activity against FocTR4, and the inhibition rate from plate confrontation was 60.6%. The fermentation broth of JSHA-CD-1003 completely inhibited the germination of FocTR4 conidia within 24 hours. The inhibition rate of FocTR4 hyphae growth was 52.6% within 7 d. A phylogenetic tree was constructed based on the ITS and tef1-α gene tandem sequences, and JSHA-CD-1003 was identified as Trichoderma brevicompactum. Purification and NMR identification showed that the single active compound was trichodermin, and the minimum inhibitory concentration (MIC) was 25 μg/mL. Pot experiments showed that the fermentation broth of strain JSHA-CD-1003 was effective against BFW. The control rate of leaf yellowing was 47.4%, and the rate of bulb browning was 52.0%. Therefore, JSHA-CD-1003 effectively inhibited FocTR4 conidial germination and mycelium growth through producing trichodermin, and showed biocontrol effect on banana wilt caused by FocTR4, thus is a potential biocontrol strain.
Fusarium ; Musa ; Phylogeny ; Trichodermin ; Hypocreales

Pyroptosis is the programmed death of cells accompanied by an inflammatory response and is widely involved in the development of a variety of diseases, such as infectious diseases, cardiovascular diseases, and neurodegeneration. It has been shown that cellular scorching is involved in the pathogenesis of pulmonary arterial hypertension ( PAH) in cardiovascular diseases. Patients with PAH have perivascular inflammatory infiltrates in lungs, pulmonary vasculopathy exists in an extremely inflam-matory microenvironment, and pro-inflammatory factors in cellular scorching drive pulmonary vascular remodelling in PAH patients. This article reviews the role of cellular scorch in the pathogenesis of PAH and the related research on drugs for the treatment of PAH, with the aim of providing new ideas for clinical treatment of PAH.

Objective To discuss the clinical safety,feasibility and efficacy of transcatheter arterial infusion chemotherapy(TAI)combined with lipiodol chemoembolization in the treatment of advanced colorectal cancer(CRC).Methods The clinical data of 37 patients with advanced CRC,who received TAI combined with lipiodol chemoembolization at the First Affiliated Hospital of Zhengzhou University of China between June 2016 and December 2022,were retrospectively analyzed.The clinical efficacy was evaluated,the progression-free survival(PFS)and the serious complications were recorded.Results A total of 55 times of TAI combined with lipiodol chemoembolization procedures were successfully accomplished in the 37 patients.The mean used amount of lipiodol emulsion was 2.9 mL(0.8-10 mL).No serious complications such as bleeding and intestinal perforation occurred.The median follow-up time was 24 months(range of 3-48 months).The postoperative one-month,3-month,6-month and 12-month objective remission rates(ORR)were 67.6%(25/37),67.6%(25/37),64.9%(24/37)and 56.8%(21/37)respectively,and the postoperative one-month,3-month,6-month and 12-month disease control rates(DCR)were 91.9%(34/37),91.9%(34/37),89.2%(33/37)and 81.1%(30/37)respectively.The median PFS was 16 months(range of 2-47 months).As of the last follow-up,22 patients survived and 15 patients died of terminal stage of tumor.Conclusion Preliminary results of this study indicate that TAI combined with lipiodol chemoembolization is clinically safe and effective for advanced CRC,and it provide a new therapeutic method for patients with advanced CRC.

Objective:To explore the mechanism of Mito-TEMPO inhibiting the activation of BV2 microglia induced by lead(Pb)exposure.Methods:Mouse microglia BV2 were cultured in vitro.The effects of different concentrations of lead exposure on the viability of BV2 cells were determined by MTT colorimetric method,and a model of lead expo-sure was developed and intervened with Mito-TEMPO antioxidant.Immunofluorescence staining was used to detect the expression of M1 activation marker CD86 protein.Enzyme-linked immunosorbent assay was used to detect the expression of pro-inflammatory factors interleukin-1 β(IL-1β),tumor necrosis factor α(TNF-α),interleukin-6(IL-6).Mito-chondrial superoxide indicator(MitoSOX)staining was used to detect the level of mitochondrial oxidative stress.JC-1 staining was used to detect mitochondrial membrane potential.The respiratory ability of mitochondria was detected by cell energy metabolism analysis system(O2k).Results:Compared with the control group,the expression of CD86 protein,the levels of pro-inflammatory cytokines IL-1β,TNF-α and IL-6 in BV2 cells increased significantly,the level of oxidative stress in mitochondria increased significantly,and the mitochondrial membrane potential and respiratory ability decreased significantly in lead exposed group.Mito-TEMPO treatment significantly reduced the oxidative stress and functional damage of mitochondria in BV2 cells,and significantly inhibited the M1 activation level of BV2 cells.Conclusion:The results show that Mito-TEMPO treatment can reverse the M1 activation of BV2 cells induced by lead exposure,and the specific mechanism may be related to the reduction of mitochondrial oxidative stress and dysfunction by Mito-TEMPO.

BACKGROUND:In recent years,there have been many novel tympanic membrane repair materials,including patches and 3D-printed scaffolds.However,the tympanic membrane repaired by these materials is different from the natural tympanic membrane in terms of thickness and internal structure. OBJECTIVE:To explore the efficacy of bone marrow mesenchymal stem cells-loaded high-porosity polycaprolactone/collagen nanofiber membrane scaffolds in repairing chronic tympanic membrane perforation. METHODS:Polycaprolactone,polycaprolactone-collagen,and high-porosity polycaprolactone-collagen nanofiber membranes were prepared by electrospinning technology,and the surface morphology,porosity and cell compatibility of the scaffolds were characterized.The tympanic membrane perforation model of 50 male SD rats was established by puncturing the posterior lower part of both eardrums with a sterile 23-measure needle combined with mitomycin C and hydrocortisone.After 12 weeks of modeling,the rats were divided into five groups by the random number table method.The blank control group did not receive any treatment.In the other four groups,polycaprolactone nanofiber membrane(polycaprolactone group),polycaprolactone-collagen nanofiber membrane(polycaprolactone-collagen group),high-porosity polycaprolactone-collagen nanofiber membrane(high-porosity polycaprolactone-collagen group)and high-porosity polycaprolactone-collagen nanofiber membrane containing bone marrow mesenchymal stem cells(high-porosity polycaprolactone-collagen group)were implanted at the perforation of the tympanic membrane,respectively.Each group consisted of 10 animals.The healing of the tympanic membrane was examined by otoendoscopy after 1,2,3 and 4 weeks of stent implantation.Hematoxylin-eosin staining,Masson staining,and Ki-67 immunohistochemical staining were performed on the tympanic membrane after 4 weeks of implantation. RESULTS AND CONCLUSION:(1)Scaffold characterization:Scanning electron microscopy showed that compared with other nanofiber membranes,the high-porosity polycaprolactone-collagen nanofiber membranes had more orderly nanofiber structure,larger surface pore size,and higher porosity(P<0.001).Live/dead staining showed that bone marrow mesenchymal stem cells adhered well on the three scaffolds,and the number of living cells on the high-porosity polycaprolactone-collagen nanofiber membrane was more than that on the other two scaffolds.Almarin staining showed that the proliferation rate of bone marrow mesenchymal stem cells on the high-porosity polycaprolactone-collagen nanofiber membrane was higher than that of the other two fiber membranes.(2)Animal experiments:Except for the blank control group,the tympanic membrane of the other four groups healed gradually with the extension of the time of fibrous membrane implantation,among which the healing speed of the cell-loaded high-porosity polycaprolactone-collagen group was the fastest.Hematoxylin-eosin staining,Masson staining,and Ki-67 immunohistochemical staining showed that the tympanic membrane of rats in the cell-carrying high-porosity polycaprolactone-collagen group was moderate in thickness and a three-layer structure with uniform collagen fiber layers,similar to the normal tympanic membrane,and the repair quality of tympanic membrane was better than that of other fiber membrane groups.(3)The results showed that the high-porosity polycaprolactone-collagen nanofiber membrane containing bone marrow mesenchymal stem cells could not only rapidly repair the perforation of the tympanic membrane,but also the newly healed tympanic membrane was similar to normal tympanic membrane in structure and thickness.

Glaucoma is the leading irreversible blinding eye disease worldwide,and intraocular pressure(IOP)plays a key role in the occurrence and development of glaucoma.However,the underlying IOP regulatory mechanism remains un-clear.Currently,clinical IOP-lowering drugs work either by reducing aqueous humor formation or increasing aqueous hu-mor outflow with limited reduction amplitude.Recent studies demonstrate that IOP may be regulated by autonomic nerves.To understand the distribution and regulatory mechanism of autonomic nerves in the aqueous humor outflow pathway and provide new ideas for IOP-lowering study and novel drug exploration,we review the roles of the autonomic nervous system in the formation and outflow of aqueous humor in this article.

Objective To compare the effects of two arc(TA)and dual arc(DA)techniques on the dose distribution to the planning target volume(PTV)and organs at risk(OAR)in volumetric modulated arc therapy(VMAT)for lower mid-thoracic esophageal cancer.Methods Ten patients with lower mid-thoracic esophageal cancer who received radiation therapy at some hospital from July 2020 to June 2022 were selected retrospectively.A TA radiation therapy plan and a DA radiation therapy plan were developed for each patient using the Ray Arc module of RayStation 4.7.5.4 planning system,and the two kinds of radiation plans were compared in terms of dosimetric parameters including D2,D5,D50,D95,D98,homogeneity index(HI),conformity index(CI),beam-on time and total monitor unit for PTV and lung V5,V10,V20,V30 and Dmean and heartV30,V40 and Dmean and spine cord Dmax for OAR.SPSS 22.0 was used for statistical analysis.Results TA and DA radiation therapy plans had no significant differences in PTV CI,HI,D2,D5,D50,D95 and beam-on time(P＞0.05),and DA plan had D98 and total monitor unit higher obviously than those of TA plan(P＜0.05).In terms of OARs protection,DA plan had heart V30,V40 and Dmean slightly lower than those of TA plan with non-significantly differences(P＞0.05),while lung V5,V30 and Dmean and spine cordDmax significantly lower(P＜0.05).Conclusion DA technique gains advantages over TA technique in PTV dose distribution and dose to OAR,and the involvement of DA technique in preparing the VMAT plan for esophageal cancer contributes to enhancing the treatment efficacy.[Chinese Medical Equipment Journal,2024,45(1):62-66]

Objective To screen and establish a method for determining the biological activity of anfibatide.Meth-ods Three methods of light transmittance aggregometry(LTA),whole blood electrical impedance aggregometry,and continuous platelet count method were compared and studied.And the constant platelet counting method was chosen and verified to detect the biological activity of anfibatide.Results The RSD values of anfibatide biological activity detected by LTA,whole blood electri-cal impedance aggregometry,and continuous platelet count method were 10.3%,14.0%,and 3.6%,respectively.RSD of repeat-ability of 6 parallel test articles was 11.0%.The RSD of intermediate precision of 12 test articles for different personnel was 9.8%,and the inhibition rate of anfibatide was linear in the range of 0.3-0.5 U.The correlation coefficient was more than 0.990.The ac-tivity of three batches of anfibatide was determined,and the inhibition rate was 49.9%～53.6%.Conclusion The continuous platelet count method for determining anfibatide activity was established and verified,which can be used for quality control for an-fibatide activity since the precision and detection limit of the method met the requirement for activity assay of biological products.