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.

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.

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.

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.

To further standardize the diagnosis and treatment of hypertension after kidney transplantation in China,Branch of Organ Transplantation of Chinese Medical Association organized experts in kidney transplantation and cardiovascular diseases to formulate"Guidelines for Clinical Diagnosis and Treatment of Hypertension in Kidney Transplant Recipients in China"based on"Diagnosis and Treatment Specification for Hypertension after Solid Organ Transplantation in China(2019 edition)"in combination with clinical status of hypertension after organ transplantation in China,and referring to the latest guidelines for diagnosis and treatment of hypertension at home and abroad.This guideline was formulated to provide theoretical reference for medical practitioners in the field of kidney transplantation in China,aiming to better control adult hypertension after kidney transplantation,mitigate adverse outcomes and improve the quality of life.

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.

Objective:To investigate the application value and safety of donor renal biopsy during laparoscopic living donor nephrectomy.Methods:The clinical data of 45 pairs of living donor and recipients who underwent living kidney transplantation in Beijing Friendship Hospital, Capital Medical University from January 2023 to December 2023 were retrospectively analyzed. Remuzzi score was used to evaluate the renal biopsy pathology of the donor kidney. Recipients and donors were divided in different groups by donor age and Remuzzi score of the donor kidney biopsy. The clinical data, pathological data and renal function of the donors in different groups were compared. Shapiro-Wilk test was used to determine whether the data satisfied the normal distribution. The measurement data with normal distribution were expressed as mean±standard deviation ( ± s). The measurement data with non-normal distribution were expressed as median (interquartile range) [ M( Q1, Q3)], and comparison between groups was analyzed using the Mann-Whitney U test. Count data were expressed as the number of cases and percentage, and the Chi-square test or Fisher exact probability method was used for comparison between groups. Results:One recipient suffered from postoperative arteriovenous fistula, and the other living kidney transplant donors and recipients had no serious complications related to biopsy. Among the 45 cases of donor renal biopsy pathology, glomerular number was ≥20 in 36 cases (80.0%). There were 20 cases (44.4%, 20/45) in the high Remuzzi score group (≥4 points) and 25 cases (55.6%, 25/45) in the low Remuzzi score group (≤3 points). There were 17 cases (37.8%, 17/45) with IgA deposition and 1 case (2.2%, 1/45) with IgA nephropathy. There was no significant difference between the high Remuzzi score group and the low Remuzzi score group in terms of estimating glomerular filtration rate (eGFR) half year after surgery ( P> 0.05). 6 cases (13.3%, 6/45) in the elderly group (age ≥60 years) and 39 cases (86.7%, 39/45) in the young group (age< 60 years) had no significant difference in Remuzzi score, IgA deposition, IgA nephropathy, donor′s eGFR at discharge and recipient′s eGFR half a year after operation ( P> 0.05). Conclusions:Donor renal biopsy during laparoscopic living donor nephrectomy is a safe and effective way to evaluate donor kidney. The relationship between the results of abnormal donor kidney biopsy and the prognosis of donors and recipients is not clear, but the donors and recipients with abnormal donor kidney biopsy need to be followed up closely after operation.

Nuclear medicine plays an indispensable role in the diagnosis,treatment,and prognosis of a wide range of diseases.Nuclear medicine using radionuclides for diagnosis has the advantages of accuracy,speed,high sensitivity and high resolution.Currently,several radionuclides play pivotal roles in disease diagnosis.This article primarily examines the clinical application and research of diagnostic radionuclides,including 18 F,89 Zr,68 Ga,99m Tc,131 I,123 I,and 11 C.The objective is to offer valuable insights for disease diagnosis and staging of diseases.

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.