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.

Objective To investigate the effectiveness of real-time tracking and virtual reality technology(RTVI)used to assist the intraoperative alignment of the trauma orthopaedic surgery robot for the treatment of femoral neck fractures and its impact on the treatment outcome.Methods A retrospective analysis was conducted on 60 patients with femoral neck fractures treated with trauma orthopedic robotic surgery from September 2020 to September 2022.Patients were divided into two groups according to whether RTVI technology was used during surgery to assist robotic surgery.There were 28 patients in the RTVI group(12 males and 16 females),with an average age of(46.2±9.3)years old ranging from 28 to 60 years old.There were 32 patients in the simple Tianji surgical robot group,including 15 males and 17 females,aged(48.2±7.8)years old ranging from 32 to 58.The number of registered fluoroscopy,operation time,total number of intraoperative fluoroscopy,intraoperative blood loss,and hospitalization time of the two groups of patients were observed and recorded.All patients received regular follow-up after surgery,and hip X-rays were routinely reviewed to record Garden alignment index,fracture healing time,postoperative complications,and Harris score.Results All 60 patients were followed up.The RTVI group was followed up for 9 to 16 months with an average of(13.0±l.2)months,and the Tianji surgical robot group alone was followed up for 10 to 14 months with an average of(12.0±1.3)months.During the follow-up period,the femoral neck fractures of both groups of patients healed well,and no complications such as internal fixation loosening and incision infection occurred.The number of registered fluoroscopy,operation time,and number of intraoperative fluoroscopy of patients in the RTVI group were significantly better than those in the simple Tianji surgical robot group(P＜0.01).There was no statistically significant difference in intraoperative blood loss,hospital stay,Garden alignment index,fracture healing time,and hip Harris score between two groups(P＞0.05).Conclusion Although RTVI technology assisted by the surgical robot for femoral neck fracture surgery has little impact on its postoperative outcome,it can effectively reduce the operating time,the number of intraoperative X-ray projections,and the risk of intraopera-tive radiation exposure to patients.It also shortened the learning curve of the operator and better reflected the precision and ef-ficiency of the trauma orthopaedic surgery robot.

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.

Objective To compare the pharmaceutics and drug interactions of noiiglutide injection,INS068 injection,HR17031 Injection,and noiiglutide+INS068 injection in healthy subjects Methods This was a single center,randomized,open-label,4-cycle,4-cohort trial.Healthy subjects were allocated to 4 groups randomly.HR17031(17 U/0.04 mg),INS068(17 U),noliglycopeptide(0.04 mg),and INS068(17 U)combined with noiiglutide(0.04 mg)were injected subcutaneously into the abdomenon on day 1,8,15 and 22 respectively.Venous blood was collected at different timing before and after administration,and the concentrations of noiiglutide in plasma and INS068 in serum were measured by HPLC-MS/MS method.Relevant pharmacokinetic parameters were calculated using the WinNonlin non compartment model.Results In HR17031,INS068,and INS068 combined with noiiglutide groups,the main pharmacokinetic parameters of INS068 in serum were calculated and listed as follows:Cmax were(19.50±4.06),(18.10±4.56)and(18.40±5.81)ng·mL-1,tmax was 12,10 and 8 h,t1/2 was(9.27±1.70),(11.00±2.81)and(11.0±3.18)h,AUC0-twere(505.00±62.20),(498.00±70.50)and(491.00±74.20)ng·mL-1·h.In HR17031,noiiglutide,and INS068 combined with noiiglutide groups,the main pharmacokinetic parameters of noiiglutide in plasma were calculated and listed as follows:Cmax were(3.61±0.82),(4.63±0.87)and(4.54±0.86)ng·mL-1,tmax was all 8.00 h,t1/2 was(10.50±1.61),(9.49±1.40)and(9.55±1.61)h,AUC0-twere(94.30±20.10),(106.00±20.20)and(105.00±19.00)ng·mL-1·h.Conclusion There was no significant difference in bioavailability of INS068 and noiiglutide in HR17031 compared with INS068 and noiiglutide whether combined or used alone.

Objective:To study the application of antimony cerium catalytic spectrophotometry using a fully automatic biochemical analyzer (hereinafter referred to as this method) in the determination of water iodine.Methods:Based on the principle of antimony cerium reoxidation reduction reaction catalyzed by iodine, the iodine content in water was determined in the range of 0 - 100 μg/L iodine mass concentration. The detection limit, precision and accuracy (determination of standard substances GBW09113j and GBW09114j for iodine composition analysis in water and the experiment of standard recovery) of this method were verified. This method was compared with the arsenic and cerium catalytic spectrophotometry recommended by the National Reference Laboratory for Iodine Deficiency Disorders.Results:Within the range of 0 - 100 μg/L iodine mass concentration, the qualitative and quantitative detection limits of this method were 0.81 and 2.70 μg/L, respectively (sampling quantity was 35 μl). In the precision experiment, the relative standard deviation of water samples with different iodine mass concentrations ranged from 1.2% to 4.0%. The determination results of the standard substances GBW09113j and GBW09114j for iodine composition analysis in water were both within the given standard value range. The standard recovery rates of water samples with low, medium and high iodine mass concentrations ranged from 101.0% to 106.0%, and the total average standard recovery rate was 103.2%. The results of the method comparison experiment showed that there was no statistically significant difference in the results of water iodine determination between the two methods ( t = - 0.78, P = 0.779). Conclusion:This method has a low detection limit, high precision and good accuracy, making it suitable for the detection of large quantities of samples in the monitoring of iodine deficiency disorders.

Humans ; Bayes Theorem ; Age Factors ; Age Distribution ; Mouth Neoplasms/epidemiology* ; China/epidemiology* ; Mortality

Objective:To explore the safety and feasibility of bilateral axillo-breast approach （BABA） robot in the operation of thyroid cancer in obese women. Methods:The clinical data of 81 obese female patients who underwent da Vinci robotic thyroid cancer surgery（robotic group） at the Department of Thyroid and Breast Surgery, PLA 960 Hospital from May 2018 to December 2021 were retrospectively analyzed and compared with the clinical data of 106 obese female thyroid cancer patients who underwent open surgery（open group） during the same period. The age, body mass index（BMI）, mean time of surgery, mean postoperative drainage, tumor diameter, postoperative tumor stage, number of lymph node dissection in the central and lateral cervical regions, number of positive lymph nodes in the central and lateral cervical regions, postoperative cosmetic outcome satisfaction score, mean postoperative hospital stay and postoperative complications of all patients were counted. The results were analyzed using SPSS 26.0 statistical software, and the count data were compared using the χ² test, and the measurement data were compared using the t test. Results:All patients completed the operation successfully, and there was no conversion in the robot group, postoperative pathological results were all composed of papillary thyroid carcinoma. The operation time in the robot group was（144.62±36.38） min, which was longer than that in the open group（117.06±18.72） min（P<0.05）. The average age of the robot group was（40.25±9.27） years, which was lower than that of the open group（49.59±8.70） years（P<0.05）. The satisfactory score of cosmetic effect in the robot group（9.44±0.65） was higher than that in the open group（5.23±1.07）（P<0.05）. There was no significant difference in tumor diameter, BMI, average postoperative drainage, temporary hypoparathyroidism and recurrent laryngeal nerve injury, number of central and lateral cervical lymph node dissection, number of positive lymph nodes in the central and lateral cervical regions, and average postoperative hospital stay between the two groups. There was no permanent hypoparathyroidism and recurrent laryngeal nerve injury in both groups. Conclusion:The application of BABA pathway robot in thyroid cancer surgery in obese women is safe and feasible, and the cosmetic effect is better after operation.
Humans ; Female ; Adult ; Middle Aged ; Robotics/methods* ; Retrospective Studies ; Recurrent Laryngeal Nerve Injuries ; Thyroidectomy/methods* ; Carcinoma, Papillary/surgery* ; Thyroid Neoplasms/pathology* ; Neck Dissection ; Treatment Outcome

PURPOSE: The purpose of this study was to assess and compare elbow range of motion, triceps extension strength and functional results of type C (AO/OTA) distal humerus fractures treated with bilateral triceps tendon (BTT) approach and olecranon osteotomy (OO). At the same time, we are also trying to know whether BTT approach can provide sufficient vision for comminuted intra-articular fractures of the distal humerus, and whether it is convenient to convert to the treatment to total elbow arthroplasty (TEA) or OO. METHODS: Patients treated with OO and BTT approaches for type C distal humerus fractures between July 2014 and December 2017 were retrospectively reviewed. Inclusion criteria include: (1) patients' age were more than 18 years old, (2) follow-up was no less than 6 months, and (3) patients were diagnosed with type C fractures (based on the AO/OTA classification). Exclusion criteria include: (1) open fractures (Gustillo type 2 or type 3), (2) treated by other approaches, and (3) presented with combined injuries of ipsilateral upper extremities, such as ulnar nerve. Elbow range of motion and triceps extension strength testing were completely valuated, when the fractures had healed. Assessment of functional results using the Mayo elbow performance score and complications were conducted in final follow-up. The data were compared using the two tailed Student's t-test. All data were presented as mean ± standard deviation. RESULTS: Eighty-six patients of type C distal humerus fractures, treated by OO and BTT approach were retrospectively reviewed between July 2014 and December 2017. Fifty-five distal humerus fractures (23 males and 32 females, mean age 52.7 years) treated by BTT approach or OO were included in this study. There were 10 fractures of type C1, 16 type C2 and 29 type C3 according to the AO/OTA classification. Patients were divided into two surgical approach groups chosen by the operators: BTT group (28 patients) and OO group (27 patients). And the mean follow-up time of all patients was 15.6 months (range, 6-36 months). Three cases in BTT group were converted to TEA, and one converted to OO. Only one case in BTT group presented poor articular reduction with a step more than 2 mm. There were not significantly different in functional outcomes according to the Mayo elbow performance score, operation time and extension flexion motion are values between BTT group and OO group (p > 0.05). Complications and reoperation rate were also similar in the two groups. Triceps manual muscle testing were no significant difference in the two groups, even subdivided in elder patients (aged >60 years old). CONCLUSION BTT is a safe approach to achieve similar functional result comparing with OO. BTT were not suitable for every case with severe comminuted pattern, but it avoids the potential complications related to OO, and has no complications concerning with triceps tendon. It is convenient for open reduction internal fixation and flexible to be converted to OO, as well as available to be converted to TEA in elder patients.
Adolescent ; Aged ; Elbow Joint/injuries* ; Female ; Fracture Fixation, Internal/methods* ; Fractures, Comminuted ; Humans ; Humeral Fractures/surgery* ; Humerus ; Infant ; Male ; Middle Aged ; Range of Motion, Articular ; Retrospective Studies ; Tendons ; Treatment Outcome

Objective:To explore the regulatory effect of cellular FLICE-like inhibitory protein (cFLIP) on myocardial ischemia-reperfusion injury based on the RIPK1/RIPK3/MLKL-mediated necroptosis pathway.Methods:The cardiomyocyte hypoxia/reoxygenation (H/R) model was constructed by hypoxia for 4 h/reoxygenation for 12 h, and the rat ischemia reperfusion (I/R) model was constructed by ligating the left anterior descending artery for 30 min and reperfusion for 3 h. CCK-8 method was used to detect the viability of cardiomyocytes in each group. DAPI/PI double staining was used to observe changes in necrosis rate of myocardial cell. STRING database was used to predict the protein interaction network of cFLIP. TTC staining was used to detect the area of myocardial infarction in each group of rats, and the protein expression of cFLIPL, cFLIPS, p-RIPK1, p-RIPK3 and p-MLKL were detected by Western blot.Results:In cardiomyocyte H/R injury and myocardial tissue I/R injury, the protein expressions of cFLIPL and cFLIPS were significantly down-regulated, while the levels of p-RIPK1, p-RIPK3 and p-MLKL were increased significantly. Up-regulating the protein expression of cFLIPL and cFLIPS could significantly reduce the damage of cardiomyocytes and the rate of cell necrosis induced by H/R, and decrease the area of myocardial infarction caused by I/R. STRING database results showed that cFLIP had direct protein interactions with RIPK1 and RIPK3. Overexpression of cFLIP in cardiomyocyte and myocardial tissue significantly inhibited H/R or I/R induced the phosphorylation levels of RIPK1, RIPK3 and MLKL.Conclusions:Overexpression of cFLIP can significantly inhibit the RIPK1/RIPK3/MLKL-mediated necroptosis, thereby reducing myocardial cell damage and decreasing the area of myocardial infarction.