In order to further standardize the vaccination of kidney transplant candidates and recipients in China, the Branch of Organ Transplantation of Chinese Medical Association has organized experts in kidney transplantation and infectious diseases. Based on the "Vaccination of Solid Organ Transplant Candidates and Recipients: Guidelines from the American Society of Transplantation Infectious Diseases Community of Practice", and in combination with the clinical reality of infectious diseases and vaccination after organ transplantation in China, as well as referring to relevant recommendations from home and abroad in recent years, these guidelines are formulated from aspects such as epidemiology, types of vaccines, vaccination principles, target population, and specific vaccine administration. The "Guidelines for Vaccination of Kidney Transplant Candidates and Recipients in China" aims to provide theoretical reference for medical workers in the field of kidney transplantation in China, regarding the vaccination of kidney transplant candidates and recipients. It is expected to better guide the vaccination of kidney transplant candidates and recipients, reduce the risk of postoperative infection, and improve survival outcomes.

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.

Aromatic immunity in traditional Chinese medicine(TCM) is the medical knowledge accumulated in the process of people's struggling with diseases. It plays an important role in plague prevention, disease treatment, health preservation, and rehabilitation, and has profound TCM basic theoretical support and abundant modern scientific evidence. With the in-depth promotion of the Healthy China initiative and the succession of health needs in the post-COVID-19 era, how to practice the health concept of aromatic immunity in TCM and develop its health service resources with high quality has become an important proposition to be discussed urgently. This paper summarizes the cognitive process, puts forward the basic concept, discusses the scientific connotation and clinical application value, and looks forward to the future development trend of aromatic immunity in TCM, aiming to provide guidance for the development of great health products and promote the application of aromatic immunity in TCM in serving people's health.
Medicine, Chinese Traditional/methods* ; Humans ; COVID-19/immunology* ; China ; Drugs, Chinese Herbal/therapeutic use* ; SARS-CoV-2

PURPOSE: The secondary damage of spinal cord injury (SCI) starts from the collapse of the blood spinal cord barrier (BSCB) to chronic and devastating neurological deficits. Thereby, the retention of the integrity and permeability of BSCB is well-recognized as one of the major therapies to promote functional recovery after SCI. Previous studies have demonstrated that activation of hypoxia inducible factor-1α (HIF-1α) provides anti-apoptosis and neuroprotection in SCI. Endogenous HIF-1α, rapidly degraded by prolylhydroxylase, is insufficient for promoting functional recovery. Dimethyloxalylglycine (DMOG), a highly selective inhibitor of prolylhydroxylase, has been reported to have a positive effect on axon regeneration. However, the roles and underlying mechanisms of DMOG in BSCB restoration remain unclear. Herein, we aim to investigate pathological changes of BSCB restoration in rats with SCI treated by DOMG and evaluate the therapeutic effects of DMOG. METHODS: The work was performed from 2022 to 2023. In this study, Allen's impact model and human umbilical vein endothelial cells were employed to explore the mechanism of DMOG. In the phenotypic validation experiment, the rats were randomly divided into 3 groups: sham group, SCI group, and SCI + DMOG group (10 rats for each). Histological analysis via Nissl staining, Basso-Beattie-Bresnahan scale, and footprint analysis was used to evaluate the functional recovery after SCI. Western blotting, TUNEL assay, and immunofluorescence staining were employed to exhibit levels of tight junction and adhesion junction of BSCB, HIF-1α, cell apoptosis, and endoplasmic reticulum (ER) stress. The one-way ANOVA test was used for statistical analysis. The difference was considered statistically significant at p < 0.05. RESULTS: In this study, we observed the expression of HIF-1α reduced in the SCI model. DMOG treatment remarkably augmented HIF-1α level, alleviated endothelial cells apoptosis and disruption of BSCB, and enhanced functional recovery post-SCI. Besides, the administration of DMOG offset the activation of ER stress induced by SCI, but this phenomenon was blocked by tunicamycin (an ER stress activator). Finally, we disclosed that DMOG maintained the integrity and permeability of BSCB by inhibiting ER stress, and inhibition of HIF-1α erased the protection from DMOG. CONCLUSIONS Our findings illustrate that the administration of DMOG alleviates the devastation of BSCB and HIF-1α-induced inhibition of ER stress.
Spinal Cord Injuries/pathology* ; Animals ; Apoptosis/drug effects* ; Amino Acids, Dicarboxylic/therapeutic use* ; Recovery of Function/drug effects* ; Rats ; Rats, Sprague-Dawley ; Hypoxia-Inducible Factor 1, alpha Subunit/metabolism* ; Male ; Spinal Cord/blood supply*

Objective To compare the interaction efficiency of three human-machine interaction modes with hand-touch control,eye movement control and voice control,based on a multi-channel human-machine interaction system in flight mission scenarios.Methods 20 pilots took part in the study and completed the first level(relatively simple)and second level(relatively complex)interactive experimental tasks in three human-computer interaction modes based on specific flight mission scenarios.The interaction efficiency indicators included the system's interaction time,response time,fusion calculation time,and number of errors.After the experiment was completed,the pilots conducted a subjective evaluation,which included the suitability of the interaction mode to the task,consistency with expected usage,fault-tolerance,effective feedback,and the tendency of the interaction mode to be applied in future flight fields.Results There were generally significant differences in interaction efficiency between hand-touch control,voice control,and eye movement control in flight mission scenarios,but the differences differed in first-level and second-level interaction tasks.Based on the comprehensive interaction experimental tasks at all levels,the experimental results obtained included:(1)the interaction time of hand-touch control was the shortest,the interaction time of voice control was the longest,and the main effect of the interaction mode was significant(F=18.214,P<0.001,η2=0.565);(2)The response time of hand-touch control was the shortest,while the response time of eye movement control was the longest.The main effect of interaction mode was significant(F=153.085,P<0.001,η2=0.944);(3)The fusion calculation time for hand-touch control was the shortest,while the fusion calculation time for voice control was the longest.The main effect of the interaction mode was significant(F=41.702,P<0.001,η2=0.777);(4)The errors in voice control were the least,while those in eye movement control were the most.The main effect of interaction mode was significant(χ2=22.845,P<0.001,φ=1.097);(5)The subjective evaluation scores of pilots on voice control were higher than those on eye movement control,and all had statistical significance(P<0.001,P<0.01).Conclusions This study focuses on flight interaction tasks and compares the interaction efficiency of three interaction modes of hand-touch control,voice control,and eye movement control,through a combination of experiments and subjective evaluations.The differences in various interaction efficiency indicators among different interaction modes are found,and the interaction modes have a significant impact on interaction efficiency.Hand-touch control has a significant advantage in interaction time efficiency,voice control has an advantage in accuracy for simple tasks,while eye movement control has relatively weak time efficiency and accuracy;Compared to eye movement control,pilots exhibit higher evaluations and tendencies towards voice control.The research results can provide reference for the future design,evaluation,and application of multi-modal interaction systems.

AIM To investigate the renoprotective effects and mechanism of Caragana sinica roots,Astragali Radix and their combination use on the rat model of diabetic kidney disease(DKD).METHODS Sixty SD rats were randomly divided into the normal group,the model group,the Empagliflozin group(10 mg/kg),the C.sinica roots group(3.1 g/kg),the Astragali Radix group(3.1 g/kg),and the C.sinica roots plus Astragali Radix group(6.2 g/kg).In contrast to the intact rats of the normal group,rats of the other groups underwent left nephrectomy and intraperitoneal injection of streptozotocin(STZ)followed by 8-week intragastric gavage of the corresponding agent,during which their levels of FBG and 24 h urinary microprotein(24 h U-mAlb)were detected regularly.The rats killed at the end of the trial had their levels of Scr,BUN and Cystatin C detected;their renal pathological changes observed by HE,PAS and Masson stainings;their expressions of macrophage marker proteins CD68 and iNOS detected by immunohistochemistry;their expressions of renal JNK/SAPK pathway proteins such as JNK,p-JNK,TNF-α,IL-1β and ICAM-1 detected by Western blot;and their serum levels of TNF-α,IL-1β and ICAM-1 detected by ELISA as well.RESULTS Compared with the normal group,the model group displayed increased levels of FBG,24 h U-mAlb,BUN,Scr and Cystatin C(P＜0.01);more renal pathological damage,and increased levels of TNF-α,IL-1β and ICAM-1 in the renal tissue and serum(P＜0.01);and increased renal protein expressions of JNK and p-JNK(P＜0.01).Compared with the model group,all of the groups intervened with an agent shared decreased levels of FBG,24 h U-mAlb,BUN,Scr and Cystatin C(P＜0.05,P＜0.01);alleviated renal pathological damage,and decreased levels of TNF-α,IL-1β and ICAM-1 in renal tissue and serum(P＜0.01).There existed no group difference between the Astragali Radix group and the C.sinica roots group in terms of all indices levels(P＞0.05).The C.sinica roots plus Astragali Radix group demonstrated its superiority over either C.sinica roots group or Astragali Radix group in terms of all the indices levels(P＜0.05,P＜0.01).CONCLUSION C.sinica roots,Astragali Radix or their combination use can alleviate the renal pathological damage and improve the renal function of DKD rats through inhibiting the M1 macrophages,reducing the secretion of inflammatory factors,whose mechanism may lie in the inhibition of JNK/SAPK signal pathway activation.A better effect can be anticipated by the combination use of C.sinica roots and Astragali Radix.

AIM To investigate the impact of the combination use of Caragana sinica Radix and Astragali Radix on a rat model of diabetic kidney disease(DKD).METHODS The SD rats were randomly divided into the normal group,the model group,the Engelgin group,the Caragana sinica Radix group,the Astragali Radix group and the Caragana sinica Radix-Astragali Radix compatibility group,with 10 rats in each group.Following the successful establishment of a DKD model by unilateral amputate renal combined with intraperitoneal injection of streptozotocin(STZ),the corresponding gastric gavage of drugs were administered for 8 weeks.The rats had their 24 h urinary microalbumin(24 h U-mALB)detected at 0,4 and 8 weeks;their levels of Scr,BUN,CysC,MDA and SOD activity detected by ELISA;their renal ROS expression detected by fluorescence probe method;their renal pathological changes observed by HE,PAS,Masson and PASM-Masson staining;their renal expressions of NOX4,Drp1,MFN2 and P62 detected by immunohistochemistry;and their renal expressions of PINK1,MFN2,Parkin,LC3-Ⅱ/Ⅰ,P62 and p-Drp1 proteins detected by Western blot.RESULTS Compared with the model group,each treatment group displayed lower contents of 24 h U-mALB,BUN,Scr and CysC in the serum of rats(P＜0.01);reduced pathological structure damage of the renal tissue;decreased MDA level in serum and kidney(P＜0.01);increased SOD activity(P＜0.01);increased renal protein expressions of PINK1,MFN2,Parkin and LC3-Ⅱ/Ⅰ(P＜0.05,P＜0.01);and decreased protein expressions of p-Drp1 and P62(P＜0.01).And the Astragali Radix group and the Caragana sinica Radix-Astragali Radix compatibility group took the lead(P＜0.05,P＜0.01).CONCLUSION Upon the rat model of DKD,the compatibility of Caragana sinica Radix and Astragali Radix may alleviate their renal pathological damage and improve their renal function by activating the mitochondrial autophagy to improve mitochondrial dynamics and inhibit their oxidative stress via PINK1/MFN2/Parkin pathway.

Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of national bloodstream infection Bacterial Resistant Investigation Collaborative System（BRICS）were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:During the study period，9 035 strains of Gram-negative bacteria were collected from 51 hospitals，of which 7 895（87.4%）were Enterobacteriaceae and 1 140（12.6%）were non-fermenting bacteria. The top 5 bacterial species were Escherichia coli（ n=4 510，49.9%）， Klebsiella pneumoniae（ n=2 340，25.9%）， Pseudomonas aeruginosa（ n=534，5.9%）， Acinetobacter baumannii complex（ n=405，4.5%）and Enterobacter cloacae（ n=327，3.6%）. The ESBLs-producing rates in Escherichia coli， Klebsiella pneumoniae and Proteus spp. were 47.1%（2 095/4 452），21.0%（427/2 033）and 41.1%（58/141），respectively. The prevalence of carbapenem-resistant Escherichia coli（CREC）and carbapenem-resistant Klebsiella pneumoniae（CRKP）were 1.3%（58/4 510）and 13.1%（307/2 340）；62.1%（36/58）and 9.8%（30/307）of CREC and CRKP were resistant to ceftazidime/avibactam combination，respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex was 59.5%（241/405），while less than 5% of Acinetobacter baumannii complex was resistant to tigecycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa（CRPA）was 18.4%（98/534）. There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of main Gram-negative bacteria resistance among different regions，with statistically significant differences in the prevalence of CRKP and CRPA（ χ2=20.489 and 20.252， P<0.001）. The prevalence of CREC，CRKP，CRPA，CRAB，ESBLs-producing Escherichia coli and Klebsiella pneumoniae were higher in provinicial hospitals than those in municipal hospitals（ χ2=11.953，81.183，10.404，5.915，12.415 and 6.459， P<0.01 or <0.05），while the prevalence of CRPA was higher in economically developed regions（per capita GDP ≥ 92 059 Yuan）than that in economically less-developed regions（per capita GDP <92 059 Yuan）（ χ2=6.240， P=0.012）. Conclusions:The proportion of Gram-negative bacteria in bloodstream infections shows an increasing trend，and Escherichia coli is ranked in the top，while the trend of CRKP decreases continuously with time. Decreasing trends are noted in ESBLs-producing Escherichia coli and Klebsiella pneumoniae. Low prevalence of carbapenem resistance in Escherichia coli and high prevalence in CRAB complex have been observed. The composition ratio and antibacterial spectrum of bloodstream infections in different regions of China are slightly different，and the proportion of main drug resistant bacteria in provincial hospitals is higher than those in municipal hospitals.

With the rapid society development and broad recognition of "Healthy China", the demands for good life and health are increasing. Accordingly, the concept of "food and medicine homologous" have been attractive. The concept of "food and medicine homologous" has a long history in China, and is an essence of various ideas in traditional Chinese medicine, such as diet therapy, medicated diet, regimen and preventive treatment of disease, representing an important field in health science. Many studies have found that the active ingredients of "food and medicine homologous" substances are multiple types, multiple mechanisms and multiple targets, exerting their biological effects after oral administration and chemical or metabolic transformation. In this review, the chemical basis and biological principles of various "food and medicine homologous" substances were summarized as compounds, biological macromolecules and intestinal flora. By focusing on the intestinal flora, we discussed the detailed biological principles of several classic "food and medicine homologous" substances. The scientific significance of "food and medicine homologous" concept were also discussed. This review explores the concept of "food and medicine homologous" from the perspective of modern medicine, in order to provide insights for future drug development and human health.

Grooming,as an evolutionarily conserved repetitive behavior,is common in various animals,including humans,and serves essential functions including,but not limited to,hygiene maintenance,thermoregulation,de-arousal,stress reduction,and social behaviors.In rodents,grooming involves a patterned and sequenced structure,known as the syntactic chain with four phases that comprise repeated stereotyped movements happening in a cephalocaudal progression style,beginning from the nose to the face,to the head,and finally ending with body licking.The context-dependent occurrence of grooming behavior indicates its adaptive significance.This review briefly summarizes the neural substrates responsible for rodent grooming behavior and explores its relevance in rodent models of neuropsychiatric disorders and neurodegenerative diseases with aberrant grooming phenotypes.We further emphasize the utility of rodent grooming as a reliable measure of repetitive behavior in neuropsychiatric models,holding promise for translational psychiatry.Herein,we mainly focus on rodent self-grooming.Allogrooming(grooming being applied on one animal by its conspecifics via licking or carefully nibbling)and heterogrooming(a form of grooming behavior directing towards another animal,which occurs in other contexts,such as maternal,sexual,aggressive,or social behaviors)are not covered due to space constraints.