To explore the advantages of traditional Chinese medicine （TCM） and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications （DMC）， refine key pathophysiological insights and treatment principles， and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine， hosted by the China Association of Chinese Medicine， was held in Beijing， 2024. Experts in TCM， Western medicine， and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis， diagnostic and treatment challenges， and mechanism research related to DMC， ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development， research prioritization， and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM， strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.

Hypoxic-ischemic brain damage (HIBD) is one of the main causes of disability in middle-aged and elderly people, as well as high mortality rates and long-term physical impairments in newborns. The pathological manifestations of HIBD include neuronal damage and loss of myelin sheaths. Tau protein is an important microtubule-associated protein in brain, exists in neurons and oligodendrocytes, and regulates various cellular activities such as cell differentiation and maturation, axonal transport, and maintenance of cellular cytoskeleton structure. Phosphorylation is a common chemical modification of Tau. In physiological condition, it maintains normal cell cytoskeleton and biological functions by regulating Tau structure and function. In pathological conditions, it leads to abnormal Tau phosphorylation and influences its structure and functions, resulting in Tauopathies. Studies have shown that brain hypoxia-ischemia could cause abnormal alteration in Tau phosphorylation, then participating in the pathological process of HIBD. Meanwhile, brain hypoxia-ischemia can induce oxidative stress and inflammation, and multiple Tau protein kinases are activated and involved in Tau abnormal phosphorylation. Therefore, exploring specific molecular mechanisms by which HIBD activates Tau protein kinases, and elucidating their relationship with abnormal Tau phosphorylation are crucial for future researches on HIBD related treatments. This review aims to focus on the mechanisms of the role of Tau phosphorylation in HIBD, and the potential relationships between Tau protein kinases and Tau phosphorylation, providing a basis for intervention and treatment of HIBD.
Humans ; tau Proteins/physiology* ; Phosphorylation ; Hypoxia-Ischemia, Brain/physiopathology* ; Animals ; Oxidative Stress

ObjectiveThe rapid advancement of bioanalytical technologies has heightened the demand for high-throughput, label-free, and real-time cellular analysis. Electrochemical impedance spectroscopy (EIS) operating in the GHz frequency range (GHz-EIS) has emerged as a promising tool for characterizing cell suspensions due to its ability to rapidly and non-invasively capture the dielectric properties of cells and their microenvironment. Although GHz-EIS enables rapid and label-free detection of cell suspensions, significant challenges remain in interpreting GHz impedance data for complex samples, limiting the broader application of this technique in cellular research. To address these challenges, this study presents a novel method that integrates GHz-EIS with deep learning algorithms, aiming to improve the precision of cell suspension concentration identification and quantification. This method provides a more efficient and accurate solution for the analysis of GHz impedance data. MethodsThe proposed method comprises two key components: dielectric property dataset construction and backpropagation (BP) neural network modeling. Yeast cell suspensions at varying concentrations were prepared and separately introduced into a coaxial sensor for impedance measurement. The dielectric properties of these suspensions were extracted using a GHz-EIS dielectric property extraction method applied to the measured impedance data. A dielectric properties dataset incorporating concentration labels was subsequently established and divided into training and testing subsets. A BP neural network model employing specific activation functions (ReLU and Leaky ReLU) was then designed. The model was trained and tested using the constructed dataset, and optimal model parameters were obtained through this process. This BP neural network enables automated extraction and analytical processing of dielectric properties, facilitating precise recognition of cell suspension concentrations through data-driven training. ResultsThrough comparative analysis with conventional centrifugal methods, the recognized concentration values of cell suspensions showed high consistency, with relative errors consistently below 5%. Notably, high-concentration samples exhibited even smaller deviations, further validating the precision and reliability of the proposed methodology. To benchmark the recognition performance against different algorithms, two typical approaches—support vector machines (SVM) and K-nearest neighbor (KNN)—were selected for comparison. The proposed method demonstrated superior performance in quantifying cell concentrations. Specifically, the BP neural network achieved a mean absolute percentage error (MAPE) of 2.06% and an R² value of 0.997 across the entire concentration range, demonstrating both high predictive accuracy and excellent model fit. ConclusionThis study demonstrates that the proposed method enables accurate and rapid determination of unknown sample concentrations. By combining GHz-EIS with BP neural network algorithms, efficient identification of cell concentrations is achieved, laying the foundation for the development of a convenient online cell analysis platform and showing significant application prospects. Compared to typical recognition approaches, the proposed method exhibits superior capabilities in recognizing cell suspension concentrations. Furthermore, this methodology not only accelerates research in cell biology and precision medicine but also paves the way for future EIS biosensors capable of intelligent, adaptive analysis in dynamic biological research.

Objective:To find out about the sentiment about the current physical training among Air Force pilots (cadets), propose methods for optimizing their programs of physical training, and to enhance the effectiveness of training in order to improve flight adaptability.Methods:A total of 1 135 pilots (cadets) were randomly selected as the subjects and divided into 3 groups according to types of aircraft and types of personnel: group A (pilots of fighters, bombers and advanced trainers), group B (pilots of fighter bombers, transporters, helicopters, special aircraft and junior trainers), and group C (flying cadets). A questionnaire survey was conducted to collect data on current physical training among pilots and flying cadets.Results:A total of 1 135 questionnaires were distributed, with 1 086 valid responses collected, yielding an effective response rate of 95.68%. Of the 1 086 participating pilots (cadets), 209 were in Group A, 499 in Group B, and 378 in Group C.There was statistically significant difference in the frequency and duration of weekly physical training between the 3 groups ( χ2=82.23, 61.56, both P<0.001). The proportion of participants engaging in >3 h weekly physical training sessions was significantly higher in group C (71.7%) than in group A (38.8%) and group B (44.9%). Significant differences were observed in weekly training durations between group C and group A (all P<0.05), as well as between group C and group B in the training durations of <3 h and 5-7 h (all P<0.05). The percentage of subjects who trained for 5-7 h per week was the highest in group C (41.5%). In groups A and B, pilots mostly trained for 3-<5 h per week (51.7% and 39.9%, respectively). The survey on the willingness to adjust training programs revealed statistically significant differences between the 3 groups in their willingness to engage in muscle strength training, coordination training, specific ability training, and adjustment of intensities of core training ( H=46.23, 16.12, 22.03, 60.68, all P<0.001). No significant difference was observed in their willingness to have aerobic training programs adjusted ( P>0.05). Group C was significantly different from groups A and B in their preference for adjustment in training programs related to muscle strength, coordination, specific abilities, and in core training programs (all P<0.01). Group C was mostly in favor of "increasing" muscle strength, coordination, and core training while opting for "no change" in aerobic training and specific ability training. Groups A and B preferred "no change". Regarding their willingness to have training intensities revised, statistically significant differences were observed between the 3 groups ( H=15.58, 19.08, 8.17, 58.01, P<0.001, <0.001, =0.017, <0.001), but no significant difference was found in their preference for adjustment of aerobic training intensities ( P>0.05). Group C showed much more preference for intensity adjustment related to muscle strength, coordination, specific abilities, and core training programs than groups A and B (all P<0.05 or 0.01). All the 3 groups predominantly favored "no change" in training intensities. Conclusions:Pilots of different aircraft types generally meet the requirements of the current physical training programs. However, the frequency of physical training for pilots (cadets) requires more rigorous supervision. Flying cadets can adaptively engage in targeted training programs. Pilots of fighters, fighter bombers and advanced trainers should care about the intensity of aerobic training while giving more weight to load resistance physical training. Pilots of other types of aircraft should devote more effort to core training programs.

Objective:To investigate the impact of early invasive arterial blood pressure (IBP) monitoring on survival and neurological outcomes in out-of-hospital cardiac arrest (OHCA) patients undergoing extracorporeal cardiopulmonary resuscitation (ECPR).Methods:This retrospective cohort study analyzed 44 OHCA patients receiving ECPR between January 2021 and January 2023. Patients were divided into: Early intervention group : IBP established within 3 min of ECMO initiation; Late intervention group : IBP established after ICU admission. Baseline characteristics, ECMO parameters, and clinical outcomes were compared. Multivariable logistic regression (adjusted for age, initial rhythm, etc.) and Spearman's correlation were used.Results:This study included a total of 44 patients treated with OHCA and ECPR, divided into an early intervention group of 23 cases and a late intervention group of 21 cases. The early intervention group showed significantly higher: Survival to discharge (43.5% vs. 9.5%, P<0.05), Good neurological recovery (CPC 1-2: 34.8% vs. 9.5%, P<0.05).Early intervention independently predicted survival (adjusted OR=18.84, 95% CI:1.97-179.98, P=0.01). Stratified analysis by pH (cutoff 7.0) demonstrated consistent benefits in both pH>7.0 ( aOR=0.392, 95% CI:0.106-0.678) and pH≤7.0 subgroups ( aOR=0.385, 95% CI: 0.075-0.695; interaction P=0.183). Early IBP positively correlated with CPC scores ( ρ=0.40, P=0.007). Conclusions:Early IBP monitoring significantly improves survival and neurological outcomes in OHCA-ECPR patients, supporting its integration into standardized protocols.

Objective:To find out about the sentiment about the current physical training among Air Force pilots (cadets), propose methods for optimizing their programs of physical training, and to enhance the effectiveness of training in order to improve flight adaptability.Methods:A total of 1 135 pilots (cadets) were randomly selected as the subjects and divided into 3 groups according to types of aircraft and types of personnel: group A (pilots of fighters, bombers and advanced trainers), group B (pilots of fighter bombers, transporters, helicopters, special aircraft and junior trainers), and group C (flying cadets). A questionnaire survey was conducted to collect data on current physical training among pilots and flying cadets.Results:A total of 1 135 questionnaires were distributed, with 1 086 valid responses collected, yielding an effective response rate of 95.68%. Of the 1 086 participating pilots (cadets), 209 were in Group A, 499 in Group B, and 378 in Group C.There was statistically significant difference in the frequency and duration of weekly physical training between the 3 groups ( χ2=82.23, 61.56, both P<0.001). The proportion of participants engaging in >3 h weekly physical training sessions was significantly higher in group C (71.7%) than in group A (38.8%) and group B (44.9%). Significant differences were observed in weekly training durations between group C and group A (all P<0.05), as well as between group C and group B in the training durations of <3 h and 5-7 h (all P<0.05). The percentage of subjects who trained for 5-7 h per week was the highest in group C (41.5%). In groups A and B, pilots mostly trained for 3-<5 h per week (51.7% and 39.9%, respectively). The survey on the willingness to adjust training programs revealed statistically significant differences between the 3 groups in their willingness to engage in muscle strength training, coordination training, specific ability training, and adjustment of intensities of core training ( H=46.23, 16.12, 22.03, 60.68, all P<0.001). No significant difference was observed in their willingness to have aerobic training programs adjusted ( P>0.05). Group C was significantly different from groups A and B in their preference for adjustment in training programs related to muscle strength, coordination, specific abilities, and in core training programs (all P<0.01). Group C was mostly in favor of "increasing" muscle strength, coordination, and core training while opting for "no change" in aerobic training and specific ability training. Groups A and B preferred "no change". Regarding their willingness to have training intensities revised, statistically significant differences were observed between the 3 groups ( H=15.58, 19.08, 8.17, 58.01, P<0.001, <0.001, =0.017, <0.001), but no significant difference was found in their preference for adjustment of aerobic training intensities ( P>0.05). Group C showed much more preference for intensity adjustment related to muscle strength, coordination, specific abilities, and core training programs than groups A and B (all P<0.05 or 0.01). All the 3 groups predominantly favored "no change" in training intensities. Conclusions:Pilots of different aircraft types generally meet the requirements of the current physical training programs. However, the frequency of physical training for pilots (cadets) requires more rigorous supervision. Flying cadets can adaptively engage in targeted training programs. Pilots of fighters, fighter bombers and advanced trainers should care about the intensity of aerobic training while giving more weight to load resistance physical training. Pilots of other types of aircraft should devote more effort to core training programs.

Objective To investigate the effect of early warning score system combined with(situation,background,ssessment,recommendation,SBAR)communication model in early warning of high-risk neonates,therefore to provide an effective communication method for an effective communication method to assess the changes of condition in neonates.Methods A before-after study model was adopted in the study.A total of 270 high-risk neonates admitted to the ward of the Department of Neonatology in a tertiary hospital between August and September 2022 were selected as research subjects.The high-risk neonates admitted in hospital in August were assigned in a control group,and those admitted in September were assigned in an trial group,with 135 neonates per group.Routine care was carried out in the control group,while early warning scoring combined with SBAR communication model were applied in the trial group on top of the cares offered to the control group.The occurrence of early warning events,concordance rate of nurse warning event and doctor handling events,and the satisfaction rate of doctors with the nursing performance were compared between the two groups.Results A total of 63.6%of early warning events were triggered by nurses in the control group,while it was 92.6%in the trial group,with a statistically significant difference between the groups(χ2=16.622,P<0.001).The consistency of handling of early warning events between the nurses and doctors in the trial group(Kappa coefficient=0.926)was higher than that in the control group(Kappa coefficient=0.641).The satisfaction rates of the doctors with the nurses about specialist knowledge,ability in emergency events,mastery of disease,timely observation of disease progress,collaboration between doctors and nurses,working enthusiasm,communication capability and the psychological quality in the trial group were all significantly higher than those in the control group[80.0%-95.0%vs.30.0%-55.0%,all P<0.01].Conclusions The Early Warning Score system combined with SBAR communication model can help nurses to accurately evaluate the changes of disease in neonates,complete the communication with doctors timely and effectively.It improves the observation,communication and handling capability among the nurses as well as the satisfaction rate of doctors with nursing work.

Nanozyme is novel nanoparticle with enzyme-like activity, which can be classified into peroxidase-like nanozyme, catalase-like nanozyme, superoxide dismutase-like nanozyme, oxidase-like nanozyme and hydrolase-like nanozyme according to the type of reaction they catalyze. Since researchers first discovered Fe₃O₄ nanoparticles with peroxidase-like activity in 2007, a variety of nanoparticles have been successively found to have catalytic activity and applied in bioassays, inflammation control, antioxidant damage and tumor therapy, playing a key role in disease diagnosis and treatment. We summarize the use of nanozymes with different classes of enzymatic activity in the diagnosis and treatment of diseases and describe the main factors influencing nanozyme activity. A Mn-based peroxidase-like nanozyme that induces the reduction of glutathione in tumors to produce glutathione disulfide and Mn²⁺, which induces the production of reative oxygen species (ROS) in tumor cells by breaking down H₂O₂ in physiological media through Fenton-like action, thereby inhibiting tumor cell growth. To address the limitation of tumor tissue hypoxia during photodynamic tumor therapy, the effect of photodynamic therapy is significantly enhanced by using hydrogen peroxide nanozymes to catalyze the production of oxygen from H₂O₂. In pathological states, where excess superoxide radicals are produced in the body, superoxide dismutase-like nanozymes are able to selectively regulate intracellular ROS levels, thereby protecting normal cells and slowing down the degradation of cellular function. Based on this principle, an engineered nanosponge has been designed to rapidly scavenge free radicals and deliver oxygen in time to save nerve cells before thrombolysis. Starvation therapy, in which glucose oxidase catalyzes the hydrolysis of glucose to gluconic acid and hydrogen peroxide in cancer cells with the involvement of oxygen, attenuates glycolysis and the production of intermediate metabolites such as nucleotides, lipids and amino acids, was used to synthesize an oxidase-like nanozyme that achieved effective inhibition of tumor growth. Furthermore, by fine-tuning the Lewis acidity of the metal cluster to improve the intrinsic activity of the hydrolase nanozyme and providing a shortened ligand length to increase the density of its active site, a hydrolase-like nanozyme was successfully synthesized that is capable of cleaving phosphate bonds, amide bonds, glycosidic bonds and even biofilms with high efficiency in hydrolyzing the substrate. All these effects depend on the size, morphology, composition, surface modification and environmental media of the nanozyme, which are important aspects to consider in order to improve the catalytic efficiency of the nanozyme and have important implications for the development of nanozyme. Although some progress has been made in the research of nanozymes in disease treatment and diagnosis, there are still some problems, for example, the catalytic rate of nanozymes is still difficult to reach the level of natural enzymes in vivo, and the toxic effects of some heavy metal nanozymes material itself. Therefore, the construction of nanozyme systems with multiple functions, good biocompatibility and high targeting efficiency, and their large-scale application in diagnosis and treatment is still an urgent problem to be solved. (1) To improve the selectivity and specificity of nanozymes. By using antibody coupling, the nanoparticles are able to specifically bind to antigens that are overexpressed in certain cancer cells. It also significantly improves cellular internalization through antigen-mediated endocytosis and enhances the enrichment of nanozymes in target tissues, thereby improving targeting during tumor therapy. Some exogenous stimuli such as laser and ultrasound are used as triggers to control the activation of nanozymes and achieve specific activation of nanozyme. (2) To explore more practical and safer nanozymes and their catalytic mechanisms: biocompatible, clinically proven material molecules can be used for the synthesis of nanoparticles. (3) To solve the problem of its standardization and promote the large-scale clinical application of nanozymes in biomonitoring. Thus, it can go out of the laboratory and face the market to serve human health in more fields, which is one of the future trends of nanozyme development.

Objective:To prepare a humanized monoclonal antibody against periostin and establish a stable cell line.Meth-ods:Based on anti-periostin mouse monoclonal antibody developed by our laboratory,total RNA was extracted,and variable region sequences were obtained by RT-PCR amplification of VH and VL genes.The mouse antibody CDR region was transplanted into the human antibody framework receptor region,and the gene was subcloned into the expression vector PATX-GS2,and stably transfected into CHO cells.Monoclonal cell lines were obtained by MSX pressure screening and limited dilution.Results:VH and VL genes were amplified by RT-PCR,and the sequence of the light and heavy chain variable region were determined.Antibody humanization were successfully stablished by CDR transplantation method a murine antibody to a human framework,and a eukaryotic expression plasmid was constructed,which was transfected into CHO cells for expression,and human anti-periostin antibody was successfully obtained.ELISA and Western blot results showed that the humanized antibody had good anti-periostin activities and binding affinity.Conclu-sion:In this study,anti-periostin humanized monoclonal antibody has been successfully prepared,which can specifically bind to peri-ostin proteins in vivo and have biological activity,providing scientific data for the precise treatment of retinal fibrosis,tissue and organ fibrosis,and malignant tumors.