BACKGROUND:Deep muscle stimulation has the effects of releasing muscle adhesion,relieving muscle spasm,improving and restoring muscle compliance and elasticity.Electromyographic biofeedback therapy can promote nerve recovery and improve lower limb motor function and gait. OBJECTIVE:To observe the effect of the effect of deep muscle stimulation combined with electromyographic biofeedback therapy on the spasm of the triceps surae and gait changes after stroke by using a digital muscle detector and three-dimensional gait analysis system. METHODS:A total of 72 patients who met the inclusion criteria were selected from the Rehabilitation Department of the First Affiliated Hospital of Guangdong Pharmaceutical University from October 2020 to October 2023.And they were enrolled and randomly divided into two groups(n=36 per group):a control group and a combined group.The control group received routine rehabilitation therapies,electromyographic biofeedback and pseudo deep muscle stimulation,while the combined group received true deep muscle stimulation treatment on the basis of the control group,five times per week,for 4 consecutive weeks.The oscillation frequency and dynamic stiffness of the affected gastrocnemius muscle,active range of motion of the ankle dorsiflexion muscle,electromyographic signal of the tibialis anterior muscle,Fugl-Meyer assessment of the lower limbs,and three-dimensional gait analysis parameters were statistically analyzed before and after treatment in two groups. RESULTS AND CONCLUSION:After treatment,oscillation frequency and dynamic stiffness values of the inner and outer sides of the affected gastrocnemius muscle in both groups of patients were significantly reduced compared with before treatment(P<0.05),and the combined group showed a more significant decrease compared with the control group(P<0.05).The active range of motion of the ankle dorsiflexion muscle,electromyographic signal of the tibialis anterior muscle,and Fugl-Meyer scores after treatment were significantly increased or improved compared with before treatment(P<0.05),while the combined group showed a more significant increase or improvement compared with the control group(P<0.05).In terms of gait parameters,the walking speed,frequency,and stride in both groups of patients were significantly increased compared with before treatment(P<0.05),while the combined group showed a more significant increase compared with the control group(P<0.05).The percentage time of support phase on the healthy side was shortened compared with before treatment(P<0.05),while the combined group showed a more significant decrease compared with the control group(P<0.05).In addition,there was no significant difference between the two groups except for the percentage of healthy side support(P>0.05).To conclude,the combination of deep muscle stimulation and electromyographic biofeedback can effectively alleviate triceps spasm in the short term after stroke,improve ankle dorsiflexion function,enhance lower limb motor function,and improve gait.The treatment effect is significant and worthy of clinical promotion and application.

BACKGROUND:There have been many studies on biofeedback therapy and three-dimensional gait function analysis for chronic non-specific low back pain at home and abroad,but few studies on the combination of the two have been reported. OBJECTIVE:To study the effect of biofeedback assisted electrical stimulation on the change of walking ability in chronic non-specific low back pain by collecting gait parameter data through three-dimensional gait analysis. METHODS:Sixty patients with chronic non-specific low back pain,34 males and 26 females,aged 32-58 years,were selected and admitted to First Affiliated Hospital of Guangdong Pharmaceutical University from June 2021 to September 2022.They were divided into control group(n=30)and trial group(n=30)according to the principle of random allocation.Both groups of patients received conventional treatment of dynamic interference with the waist,20 minutes/time,once/day,5 times a week,for 20 times.The control group received supine bypass and prone bypass suspension core muscle training on the basis of conventional treatment,5 times a week,for 20 times.The trial group received biofeedback assisted electrical stimulation therapy on the basis of the control group,20 minutes/time,once/day,5 times a week,for 20 times.The low back pain score,the mean value of electromyography and the gait parameters were compared and analyzed before and after treatment between the two groups. RESULTS AND CONCLUSION:(1)After treatment,the numerical rating scale score,Japanese Orthopaedic Association score,and Oswestry disability index of the two groups were significantly improved compared with those before treatment(P<0.05).Numerical rating scale score,Japanese Orthopaedic Association score,and Oswestry disability index of the trial group were better than those of the control group(P<0.05).(2)After treatment,the mean values of surface electromyography of rectus abdominis,gluteus maximus,and erector spinae muscle in the two groups were higher than those before treatment(P<0.05),and the mean values of surface electromyography of rectus abdominis,gluteus maximus,and erector spinae muscle in the trial group were higher than those in the control group(P<0.05).(3)After treatment,the step width,step speed,step frequency,step length ratio between healthy and diseased sides,the relative value of support between healthy and diseased sides,the relative value of swing between diseased and healthy sides,the sagittal motion range of hip joint and knee joint between healthy and diseased sides and the foot angle between healthy and diseased sides were all better than those before treatment in both groups(P<0.05).The above indexes of the trial group were better than those of the control group after treatment(P<0.05).(4)These results suggest that biofeedback assisted electrical stimulation can significantly alleviate chronic non-specific low back pain,and improve the lower limb walking function.

ObjectiveThis study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes. MethodsStructural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments. ResultsThe collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments. ConclusionThe antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.

Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.

Objective: To evaluate the effectiveness for the construction of the "mosquito-free village" in Jinzishan Village, Fuling District, Chongqing Municipality, so as to provide references for improving mosquito control practices in hilly and mountainous rural areas. Methods: The "mosquito-free village" initiative in Fuling District was launched in April 2023. Mosquito density monitoring was conducted annually from April to October. Larval mosquito density was monitored using the path method and scoop-catch method, and adult mosquito density was monitored using human-baited landing catch. One hundred and fifty-two villagers were randomly conducted before the "mosquito-free village" construction (April 2023) and one hundred and sixty-seven villagers were randomly conducted after the construction (November 2024). Knowledge awareness rate and correct behavioral practices regarding mosquito control among villagers were assessed. The satisfaction among villagers were evaluated in November 2024. The effectiveness of the initiative was evaluated based on mosquito density data, health education outcomes from 2023 to 2024, and satisfaction. Results: The average larval mosquitoes path index in Jinshanzi Village decreased from 1.50 spots/km in 2023 to 0.07 spots/km in 2024 (P<0.05). The average sampling spoon index of larval mosquitoes decreased from 3.43% in 2023 to 0 in 2024. The average landing rate index of adult mosquitoes decreased from 3.90 mosquitoes/(person·time) in 2023 to 0.38 mosquitoes/(person·time) in 2024 (P<0.05). The awareness rate of mosquito control knowledge and the formation rate of correct behaviors among villagers increased from 59.87% and 57.24% in 2023 to 92.22% and 90.42% in 2024, respectively (both P<0.05). In 2024, the satisfaction of villagers was 92.81%. Conclusion The mosquito density, health education effectiveness, and satisfaction of villagers in Jinzishan Village have all met the evaluation criteria for a "mosquito-free village", providing a replicable model for promotion in hilly and mountainous rural areas.

Objective To analyze the prognosis of elderly patients with community-acquired pneumonia (CAP) and its correlation with serum angiopoietin 2 (Ang-2), activated protein C (APC) and pentraxin 3 (PTX3) levels. Methods A total of 508 elderly patients with CAP in the hospital from March 2021 to March 2024 were divided into death group (n=104) and survival group (n=404) according to the survival status at 28 days after admission. Another 110 healthy subjects with physical examination were included in the control group. The levels of serum Ang-2, APC and PTX3 were compared, and their correlation with prognosis was explored by Pearson correlation analysis. Results In this study, 404 cases survived after 28 days and 104 cases died. The levels of C-reactive protein, procalcitonin and interleukin-8 and the proportion of severe condition in the survival group were lower than those in the death group (P<0.05). The level of serum APC in the case group and the death group was lower than that in the control group and the survival group (P<0.05), while the levels of Ang-2 and PTX3 were higher than those in the control group and the survival group (P<0.05), respectively. Serum APC level was negatively correlated with community-acquired pneumonia in the elderly CAP (r=-0.476, P<0.05), while Ang-2 and PTX3 were positively correlated with prognosis (r=0.489, 0.502, P<0.05). Conclusion Serum levels of Ang-2 and APC in elderly patients with CAP are decreased and the level of PTX3 is increased. Serum Ang-2 and APC levels are negatively correlated with elderly CAP, and PTX3 is positively correlated with prognosis.

Lung cancer has the highest morbidity and mortality rate among all cancers. Because of the complex pathogenesis， there are limitations in the common Western medicine treatment methods. Clinical and experimental studies have proved that traditional Chinese medicine （TCM） can not only effectively treat lung cancer and alleviate the clinical symptoms of cancer patients but also reduce the adverse reactions and complications caused by surgery， chemotherapy， and radiotherapy to improve the quality of life of the patients. The biological behaviors of lung cancer cells， such as proliferation， invasion， and metastasis， are closely related to their metabolic reprogramming. Metabolic reprogramming in lung cancer involves a series of metabolic changes such as increased glucose uptake and consumption， enhanced glycolysis， increased amino acid uptake and catabolism， and enhanced lipid and protein synthesis. Studies have reported that TCM active components， extracts， and compound prescriptions can effectively inhibit the biological behaviors of lung cancer by regulating metabolic reprogramming. Therefore， this paper reviews the pharmacological mechanisms of TCM active components， extracts， and compound prescriptions in regulating metabolic reprogramming of lung cancer， with the aim of providing a new way of thinking for the treatment of lung cancer by TCM regulation of metabolic reprogramming of lung cancer cells. The available studies suggest that TCM mainly inhibits the extracellular signal-regulated protein kinase （ERK）/c-Myc， phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR）， and hypoxia-inducible factor-α （HIF-1α） pathways. Furthermore， the expression of monocarboxylate transporter 4 （MCT4）， glucose transporter 1 （GLUT1）， pyruvate dehydrogenase （PDH）， phosphofructokinase 1 （PFK1）， pyruvate dehydrogenase kinase 1 （PDK1）， pyruvate kinase M2 （PKM2）， hexokinase （HK）， lactate dehydrogenase （LDH）， and lactate dehydrogenase A （LDHA） are inhibited. In this way， TCM inhibits the glucose uptake by lung cancer cells and glycolysis in lung cancer cells to reduce the energy metabolism of tumor cells， ultimately achieving the therapeutic effect on lung cancer.

ObjectiveTo prepare oral nanoemulsions encapsulating essential oil from Alpinia zerumbet fructus（EOFAZ） and to investigate its pro-absorption effect in vitro and distribution in vivo. MethodThe proteoglycan conjugate polysaccharides of vinegar-processed Bupleuri Radix-bovine serum albumin（VBCP-BSA） was prepared by Maillard reaction of VBCP and BSA. Taking VBCP-BSA as emulsifier， vitamin B₁₂（VB₁₂） as absorption enhancer， and medium chain triglycerides mixed with EOFAZ as oil phase， the nanoemulsions loaded with EOFAZ was prepared by high energy emulsification method. The particle size， particle size distribution， surface Zeta potential， EOFAZ content and appearance and morphology of the nanoemulsions were characterized， and fluorescein tracer method was used to investigate the absorption effect of fluorescein-labeled EOFAZ nanoemulsions in vitro and their distribution in vivo. ResultVBCP-BSA was formed by Maillard reaction for 48 h with high grafting rate. Using VBCP-BSA as emulsifier， the homogeneous pink nanoemulsions was prepared and denoted as EOFAZ@VBCP-BSA/VB₁₂. The particle size of the nanoemulsions was less than 100 nm and the particle size distribution was uniform. The surface of the nanoemulsions was a weak negative charge， and the shape was spherical. The encapsulation rate of the nanoemulsions for EOFAZ was greater than 80%， which had a good absorption effect in vitro and could enhance liver accumulation after oral administration. ConclusionThe designed proteoglycan nanoemulsions can effectively load EOFAZ， promote oral absorption and enhance liver distribution， which can provide experimental basis for the development of oral EOFAZ liver protection preparations.

Humans ; Artificial Intelligence ; Algorithms ; Brain ; Head

As a rapidly developing frontier discipline, structural biology has penetrated into every field of life science research. The course of “Structural Biology” plays an important role in expanding the knowledge system of undergraduate students and promoting students’ scientific spirit and innovation. For the high-quality training of highly skilled talents, we aimed to promote the original innovation of students, the ability of thinking, and the ability of engineering practice. The trinity education concept, including shape of the value, passing on knowledge, and ability cultivation, was applied. During the reform, we explored a step-by-step course content and searched for factors involved in ideological and political education. Based on the problem-based learning (PBL) method, a hybrid teaching model was designed to cultivate the problem-thinking and problem-solving skills of students. Meanwhile, a number of evaluation systems for students and teachers were established, which may be generally adopted for the course of “Structural Biology”. The survey data suggested that the exploration has a good effect on teaching and training and is conducive to the cultivation of research-oriented, comprehensive, innovative talents under the background of “New Engineering”.