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.

Objective To compare the mid- and long-term clinical results of mitral valve plasty (MVP) and mitral valve replacement (MVR) in the treatment of functional mitral regurgitation (FMR). Methods Patients with FMR who underwent surgical treatment in the Department of Cardiovascular Surgery of the General Hospital of Northern Theater Command from 2012 to 2021 were collected. The patients who underwent MVP were divided into a MVP group, and those who underwent MVR into a MVR group. The clinical data and mid-term follow-up efficacy of two groups were compared. Results Finally 236 patients were included. There were 100 patients in the MVP group, including 53 males and 47 females, with an average age of (61.80±8.03) years. There were 136 patients in the MVR group, including 72 males and 64 females, with an average age of (61.29±8.97) years. There was no statistical difference in baseline data between the two groups (P＞0.05). There was no statistical difference between the two groups in the extracorporeal circulation time, aortic occlusion time, postoperative hospital and ICU stay, intraoperative blood loss, or hospitalization death (P＞0.05), but the time of mechanical ventilation in the MVP group was significantly shorter than that in the MVR group (P=0.022). The total follow-up rate was 100.0%, the longest follow-up was 10 years, and the average follow-up time was (3.60±2.55) years. There were statistical differences in the left atrial diameter, left ventricular end-diastolic diameter, left ventricular end-systolic diameter and cardiac function between the two groups compared with those before surgery (P<0.05). The postoperative left ventricular ejection fraction in the MVP group was statistically higher than that before surgery (P=0.002), but there was no statistical difference in the MVR group before and after surgery (P=0.658). The left atrial diameter in the MVP group was reduced compared with the MVR group (P=0.026). The recurrence rate of mitral regurgitation in the MVP group was higher than that in the MVR group, and the difference was statistically significant (10.0% vs. 1.5%, P=0.003). There were 14 deaths in the MVP group and 19 in the MVR group. The cumulative survival rate (P=0.605) and cardiovascular events-free survival rate (P=0.875) were not statistically significant between the two groups by Kaplan-Meier survival analysis. Conclusion The safety, and mid- and long-term clinical efficacy of MVP in the treatment of FMR patients are better than MVR, and the left atrial and left ventricular diameters are statistically reduced, and cardiac function is statistically improved. However, the surgeon needs to be well aware of the indications for the MVP procedure to reduce the rate of mitral regurgitation recurrence.

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 explore clinical outcomes and bone resection of interlaminar fenestration decompression and u-nilateral biportal endoscopic(UBE)technique in treating lumbar disc herniation(LDH).Methods A retrospective study was performed on 105 patients with single-level LDH treated from December 2019 to December 2021.Fifty-four patients in UBE group,including 32 males and 22 females,aged from 18 to 50 years old with an average of(38.7±9.3)years old,were treated with UBE,29 patients withL4.5and 25 patients with L5S1.There were 51 patients in small fenestration group,including 27 males and 24 females,aged from 18 to 50 years old with an average of(39.9±10.0)years old,were treated with small fenestra-tion,25 patients with L4.5 and 26 patients with L5S1.Perioperative indexes,such as operation time,postoperative time of getting out of bed and hospital stay were observed and compared between two groups.Visual analogue scale(VAS)and Oswestry dis-ability index(ODI)were compared between two groups before operation and 1,3,6 and 12 months after operation,respective-ly;and modified MacNab evaluation criteria was used to evaluate clinical efficacy.Amount of bone resection and retention rate of inferior articular process laminoid complex were compared between two groups.Results All 105 patients were successfully completed operation.Both of two groups were followed up from 6 to 12 months with an average of(10.69±2.49)months.Oper-ation time,postoperative time of getting out of bed and hospital stay were(58.20±5.54)min,(2.40±0.57)dand(3.80±0.61)d in UBE group,and(62.90±7.14)min,(4.40±0.64)d and(4.40±0.64)d in small fenestrum group,respectively;and had sta-tistically difference between two groups(P＜0.05).Postoperative VAS of low back and leg pain and ODI in both groups were significantly lower than those before surgery(P＜0.05).VAS of lumbar pain in UBE group(1.37±0.49)score was lower than that of small fenestration group(2.45±0.64)score,and had statistically difference(t=9.745,P＜0.05).Postoperative ODI in UBE group at 1 and 3 months were(28.54±3.31)％and(22.87±3.23)％,respectively,which were lower than those in small fenestra group(36.31±9.08)％and(29.90±8.36)％,and the difference was statistically significant(P＜0.05).There were no significant difference in VAS and ODI between two groups at other time points(P＞0.05).According to the modified MacNab evaluation criteria at the latest follow-up,49 patients got excellent result,3 good,and 2 fair in UBE group.In small fenestration group,35 patients got excellent,12 good,and 4 fair.In UBE group,amount of bone resection on L4,5 segment was(0.45±0.08)cm3 and(0.31±0.08)cm3 on the segment of L5S1.In small fenestration group,amount of bone resection on L4.5 segment was(0.57±0.07)cm3 and(0.49±0.04)cm3 on the segment of L5S1,and amount of bone resection of lower articular process laminar complex on the same segment in UBE group was less than that in small fenestration group(P＜0.05).In UBE group,retention rate of laminoid complex on L4,5 segment was(0.73±0.04)and L5S1 segment was(0.83±0.03),whileL4,5segment was(0.68± 0.06)and L5S1 segment was(0.74±0.04)in small fenestration group,the lower articular process laminar complex retention rate in UBE group was higher than that in small fenestration group(P＜0.05).Conclusion Both unilateral double-channel endoscopy and small fenestration of laminae could achieve good clinical results in treating LDH,but UBE has advantages of less trauma,higher eficiency,faster postoperative recovery and less damage to bone structure.

Objective To explore the risk factors for bile leakage after laparoscopic common bile duct exploration(LCBDE)with primary closure.Methods The clinical data of 560 patients with choledocholithiasis who underwent LCBDE with primary closure in Tianjin Hospital of Integrated Traditional Chinese and Western Medicine from September 2021 to September 2023 were retrospectively analyzed,and the patients were divided into the bile leak group and the non-bile leak group according to the occurrence of postoperative bile leakage.The risk factors affecting the occurrence of postoperative bile leakage were analyzed by multivariate analysis.Results A total of 64 cases(11.4% )experienced varying degrees of bile leakage,including 55 cases of grade A bile leakage,7 cases of grade B,and 2 cases of grade C.The thin common bile duct(OR=0.07,P<0.001),history of hypertension(OR=4.56,P<0.001),and high BMI(OR=1.17,P=0.002)were the risk factors for postoperative bile leakage in patients with choledocholithiasis.Conclusion Patients with thin common bile duct,hypertension and obesity are more likely to occur postoperative bile leakage.Patients with choledocholithiasis who have the above high-risk factors should be cautious in choosing LCBDE with primary closure.

Perilla frutescens,a short-day plant,is rich in biologically active substances and nutrients.Current research on Perilla frutescens focuses on agronomic traits such as yield and fatty acid accumula-tion,with limited exploration of the flowering process and floral organ development.The molecular regu-latory mechanisms underlying these aspects remain unclear.FLOWERING LOUC T(FT)is a florigen in Arabidopsis,plays critical roles in floral transition.PfFT3 is unannotated by genome but annotated by transcriptomics data to the FT-like subfamily.Its function in controlling flowering is yet to be explored.Here subcellular localization analysis showed that PfFT3 is localized in the nucleus and cytoplasm.The plant over-expression vector pCAMBIAI1303-PfFT3 was constructed and transformed into wild-type(Col-0)and mutant fd-2,fd-3,and ft-10 plants by agrobacterium-mediated inflorescence infiltration as a means of obtaining genetically stable and pure overexpression and backfill transgenic lines in Arabidopsis,respectively.Analysis of the results showed that overexpression of PfFT3 significantly promoted early flowering in Arabidopsis and rescued the late-flowering phenotype of the mutants fd-2,fd-3,and ft-10,and that expression of the exogenous PfFT3 promoted the expression of the downstream endogenous flow-ering genes AtSOC1,AtAP1,AtFUL,and AtLFY.This study demonstrates the positive role of PfFT3 in promoting flowering,providing a foundation for further investigation of PfPEBP function and advancing the breeding of early-flowering Perilla frrutescens cultivars.

Objective:To investigate the clinical efficacy and safety of ixazomib-containing regimens in the treatment of patients with multiple myeloma(MM).Methods:A retrospective analysis was performed on the clinical efficacy and adverse reactions of 32 MM patients treated with a combined regimen containing ixazomib in the Hematology Department of the First People's Hospital of Lianyungang from January 2020 to February 2022.Among the 32 patients,15 patients were relapsed and refractory multiple myeloma(R/RMM)(R/RMM group),17 patients who responded to bortezomib induction therapy but converted to ixazomib-containing regimen due to adverse events(AE)or other reasons(conversion treatment group).The treatment included IPD regimen(ixazomib+pomalidomide+dexamethasone),IRD regimen(ixazomib+lenalidomide+dexamethasone),ICD regimen(ixazomib+cyclophosphamide+dexamethasone),ID regimen(ixazomib+dexamethasone).Results:Of 15 R/RMM patients,overall response rate(ORR)was 53.3％(8/15),among them,1 achieved complete response(CR),2 achieved very good partial response(VGPR)and 5 achieved partial response(PR).The ORR of the IPD,IRD,ICD and ID regimen group were 100％(3/3),42.9％(3/7),33.3％(1/3),50％(1/2),respectively,there was no statistically significant difference in ORR between four groups(x2=3.375,P=0.452).The ORR of patients was 50％after first-line therapy,42.9％after second line therapy,60％after third line therapy or more,with no statistically significant difference among them(x2=2.164,P=0.730).In conversion treatment group,ORR was 88.2％(15/17),among them,6 patients achieved CR,5 patients achieved VGPR and 4 patients achieved PR.There was no statistically significant difference in ORR between the IPD(100％,3/3),IRD(100％,6/6),ICD(100％,3/3)and ID(60％,3/5)regimen groups(x2=3.737,P=0.184).The median progression-free survival(PFS)time of R/RMM patients was 9 months(95％CI:6.6-11.4 months),the median overall survival(OS)time was 18 months(95％CI:11.8-24.4 months).The median PFS time of conversion treatment group was 15 months(95％CI:7.3-22.7 months),the median OS time not reached.A total of 10 patients suffered grade 3-4 adverse event(AE).The common hematological toxicities were leukocytopenia,anemia,thrombocytopenia.The common non-hematological toxicities were gastrointestinal symptoms(diarrhea,nausea and vomit),peripheral neuropathy,fatigue and infections.Grade 1-2 peripheral neurotoxicity occurred in 7 patients.Conclusion:The ixazomib-based chemotherapy regimens are safe and effective in R/RMM therapy,particularly for conversion patients who are effective for bortezomib therapy.The AE was manageable and safe.

Objective To explore the clinical efficacy of repeated transcranial magnetic stimulation(rTMS)and acupuncture therapy in the treatment of chronic insomnia disorder(CID)patients.Methods A total of 80 patients with CID,who were treated at Nanchang First Hospital from January 2022 to December 2023,were selected for the study.The patients were randomly divided into control group and treatment group,with 40 cases in each group.The control group patients were treated with dexmedetomidine,while the treatment group patients received rTMS and acupuncture therapy in addition to control group.The treatment course was 4 weeks,and the sleep quality,sleep related indicators,and psychological condition improvement of both groups of patients were observed before and after treatment.Results After treatment,the Pittsburgh sleep quality index scores of both groups of patients decreased(P＜0.05);The sleep latency and number of awakenings were lower than before treatment(P＜0.05),and the total sleep time,sleep efficiency,and proportion of rapid eye movement sleep were higher than before treatment,treatment group showed more significant improvement than control group(P＜0.05).After treatment,the Hamilton anxiety and depression scale scores of both groups of patients decreased compared to before treatment,but there was no statistically significant difference in control group before and after treatment(P＞0.05).However,there was a statistically significant difference in treatment group before and after treatment(P＜0.05).Conclusion The combination of rTMS and acupuncture treatment can significantly improve the sleep quality of CID patients,while also reducing the accompanying symptoms of anxiety and depression.

Objective:To investigate the application value of major anatomical structure recognition model of minimally invasive liver resection based on deep learning.Methods:The retrospective and descriptive study was conducted. The 31 surgical videos of laparoscopic left lateral sectionectomy performed in Zhujiang Hospital of Southern Medical University from January 2019 to April 2023 were collected. Video clips containing the surgical procedure of left lateral lobe liver pedicle and left hepatic vein were screened by 2 liver surgeons. After quality control, screening and frame extraction, the major anatomical structures on the images of these clips were annotated. After pre-processing, these images were transported to the DeepLab v3+neural network framework for model training. Observation indicators: (1) video annotation and classification; (2) results of arti-ficial intelligence anatomical recognition model testing. Measurement data with normal distribution were represented as Mean± SD, and count data were described as absolute numbers. Results:(1) Video annotation and classification. A total of 4 130 frames of images were annotated in the 31 surgical videos, including 2 083 frames of annotated images for the left lateral lobe liver pedicle, 1 578 frames of annotated images for the left hepatic vein and 469 frames of annotated images for both the left lateral lobe liver pedicle and left hepatic vein. (2) Results of artificial intelligence anatomical recognition model testing. In four application scenarios (clean scene, bloodstain scene, partially obstruction by instrument scene, and small exposed area scene), the model was able to successfully recognize the left lateral lobe liver pedicle and left hepatic vein, with a recognition speed for anatomical markers >13 frames/s. When performing anatomical recognition on images with only the left lateral lobe liver pedicle, the Dice coefficient, intersection over union, accuracy, sensitivity and specificity of the model were 0.710±0.110, 0.560±0.120, 0.980±0.010, 0.640±0.030, and 0.980±0.010, respectively. The above indicators of the model were 0.670±0.180, 0.530±0.200, 0.980±0.010, 0.600±0.040, and 0.990±0.010 when performing anatomical recognition on images with only the left hepatic vein, and 0.580±0.180, 0.430±0.190, 0.980±0.010, 0.580±0.020, and 0.990±0.010 when per-forming anatomical recognition on images with both the left lateral lobe liver pedicle and left hepatic vein.Conclusion:The major anatomical structure recognition model of minimally invasive liver resection based on deep learning can be applied in identifying liver pedicle and hepatic vein.

In this paper,a case of a hyperdivergent and bimaxillary protrusion with individual teeth cross bite in the anterior region treated by invisible orthodontic appliances was reported.At the end of the treatment,the teeth were aligned,the face profile of the patient was im-proved and the overbite and overjet were normal.