Objective: To classify the ABO blood group phenotypes of 5 cases from a family, and to explore the molecular mechanism for reduced B antigen expression in ABO blood group system. Methods: Serological identification of the ABO blood group was performed using microcolumn gel assay and saline tube method. The soluble antigens in saliva were detected by the agglutination inhibition assay. The full-length sequences and upstream promoter regions of ABO gene were sequenced for genotyping using PacBio SMRT sequencing technology. Results: The results of serological tests indicated the expression of B antigen decreased in 3 out of 5 blood samples. A mixed-field agglutination was observed with anti-B antibody. B antigen was not detected in all 5 saliva samples. The ABO genotype for all samples were ABO B.01/ABO O.01.02, and a novel mutation c. 28+5875C>T within the DNA-binding region of RUNX1 in +5.8-kb site were found in the B allele for 3 samples with reduced expression of B antigen. Conclusion: Results of serological and genetic analyses classify the 3 cases with reduced B antigen expression as B phenotype. The novel mutation c. 28+5875C>T of RUNX1 could be the key reason for reduced B antigen expression in 3 cases with B phenotype.

Antimicrobial resistance (AMR) has emerged as a major global public health challenge, with traditional prevention and control methods exhibiting significant limitations in detection efficiency, data processing, and clinical decision-making. Leveraging its robust capabilities in data analysis and pattern recognition, artificial intelligence (AI) technology has been widely applied across multiple critical aspects of AMR containment. Current evidence demonstrates that AI technologies can significantly enhance the efficiency of resistancediagnosis, optimize personalized treatment strategies, and improve real-time monitoring of resistant pathogen transmission. Despite persistent challenges such as data heterogeneity, model interpretability, and ethical compliance in practical applications, AI holds immense promise in supporting precision infection management and addressing the growing crisis of antimicrobial resistance.This article systematically reviews the clinical applications of AI in AMR prevention and control, including resistance detection and prediction based on mass spectrometry and genomic data, the use of clinical decision support systems in anti-infective therapy, as well as the role of AI in epidemiological surveillance, pathogen tracking, early warning systems, and novel antimicrobial drug discovery aiming to provide reference for clinical practice.

Enterobacterales are important pathogens responsible for hospital-acquired infections and can cause various severe infectious diseases. Since their first report, extended-spectrum β-lactamase-producing Enterobacterales(ESBL-E) have become widely prevalent worldwide. These strains often exhibit multidrug resistance, significantly increasing the risk of treatment failure and patient mortality. In China, the prevention and control of ESBL-E face numerous challenges, including high prevalence rates, significant regional distribution disparities, uneven laboratory testing capabilities, and variations in antimicrobial stewardship and prescribing practices. To address these issues, Professors Zhuo Chao, Xu Yingchun and Yu Yunsong initiated the developmentof the Expert Consensus on Clinical Management Strategies for Infections Caused by Extended-Spectrum β-Lactamase-Producing Enterobacterales (2025), in collaboration with multidisciplinary experts. This consensus systematically reviews the global and domestic epidemiological characteristics of ESBL-E, clinical laboratory detection techniques, treatment principles and key therapeutic agents, as well as infection prevention and control measures. Furthermore, it elaborates on the microbiological features and stratified treatment strategies for different infection sources (including bloodstream infections, intracranial infections, respiratory and mediastinal infections, intra-abdominal infections, and urinary tract infections) and special populations (such as neutropenic patients with fever, emergency patients, and pediatric patients). The consensus aims to enhance the detection capacity of clinical laboratories for ESBL-E, standardize diagnosis and treatment strategies in healthcare settings, and provide scientific guidance to curb the spread of ESBL-E in China, thereby reducing associated morbidity and mortality.

With the increasing number of people with immune deficiency in recent years, fungal infections become an important factor threatening human health.Likewise, the number of children who are immunosuppressed due to hematological diseases, malignancies, use of immunosuppressants and spectrum antibacterial drugs has increased, leading to a high mortality of fungal infections.Moreover, infections of the non-candida albicans and aspergillu are prevalent, serving as important causes for the death of critically ill children. Therefore, this review aims to introduce and summarize the epidemiological characteristics, diagnosis and treatment of pediatric invasive fungal infections, thus yielding the concern of pediatric invasive fungal infections, reducing the occurrence of pediatric fungal infections and improving the prognosis.

Klebsiella oxytoca is an important opportunistic pathogen which cause community or hospital-acquired infections in adults and children. The disease it most causes is antibiotic-associated hemorrhagic colitis (AAHC). It can also cause diseases such as urinary tract infections, pneumonia and bloodstream infections. The cytotoxins including Tilivalline and Tilimycin are important virulence factors for Klebsiella oxytoca, mainly causing AAHC. This article reviewed the progress of research on the prevalence, pathogenicity and mechanisms of K.oxytoca, hoping to improve the understanding of K.oxytoca and provide guidance on disease prevention and treatment.

This paper summarized the clinical experience of using the method of “returning fire to its origin” for treatment of paroxysmal sympathetic hyperactivity （PSH）. According to the causes and clinical characteristics of PSH， the author believes that the deficiency of kidney qi， and the loss of yin and yang are the basis of the pathogenesis of PSH. Fright causes qi to be chaotic as the triggering mechanism of PSH. The key mechanism of PSH is that the deficiency yang with upper manifestation， and the fire does not return to its origin. The treatment should be nourishing yin and astringing yang， by taking modified Yinhuo Decoction （引火汤） internally， and receiving warm moxibustion as the first choice externally with selected acupoints Guanyuan （CV 4）， Mingmen （GV 4）， and bilateral Yongquan （KI 1）； For prevention， attention should be paid to take care of stomach qi， support healthy qi， and cultivate original qi.

Polymyxins, a class of cyclic peptide antibiotics, have become the last line of defense against gram-negative bacterial infections as the number of multidrug-resistant bacteria continues to rise. Heteroresistance refers to the presence of subpopulations within the same strain with varying sensitivities to antibiotics, which cannot be detected by standard clinical tests and may result in treatment failure. In several common gram-negative bacteria, mutations in the PhoPQ and PmrAB two-component systems are key contributors to polymyxin heteroresistance. This review aims to summarize recent research on the mechanisms of polymyxin heteroresistance in gram-negative bacteria, so as to provide insights for developing rapid detection methods and improving clinical treatment strategies.

Antimicrobial susceptibility testing (AST) helps guide clinical rational selection of antibiotics, enabling patients to achieve better prognosis and reducing the development of drug resistance. However, traditional AST is time-consuming and labor-intensive, meaning that clinicians are not able to obtain susceptibility results in a timely manner, and have to rely on experience based on bacterial species and epidemiological data for empirical drug selection. This may be one of the reasons for the continuous increase in the number of drug-resistant strains. In recent years, researchers have focused on the development of rapid and simple AST assays and have made relevant research progress. This article reviews the new AST technologies based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), microfluidic chip systems, nucleic acid detection methods, immunological detection, and flow cytometry, in the hope of providing reference for improving the efficiency of AST testing in clinical microbiology laboratories.

Objective:To explore the impact of sleep duration, physical exercise, and their interactions on the risk of dyslipidemia in older adults aged ≥80 (the oldest old) in China.Methods:The study subjects were the oldest old from four rounds of Healthy Aging and Biomarkers Cohort Study (2008-2009, 2011-2012, 2014 and 2017-2018). The information about their demographic characteristics, lifestyles, physical examination results and others were collected, and fasting venous blood samples were collected from them for blood lipid testing. Competing risk model was used to analyze the causal associations of sleep duration and physical exercise with the risk for dyslipidemia. Restricted cubic spline (RCS) function was used to explore the dose-response relationship between sleep duration and the risk for dyslipidemia. Additive and multiplicative interaction model were used to explore the interaction of sleep duration and physical exercise on the risk for dyslipidemia.Results:The average age of 1 809 subjects was (93.1±7.7) years, 65.1% of them were women. The average sleep duration of the subjects was (8.0±2.5) hours/day, 28.1% of them had sleep duration for less than 7 hours/day, and 27.2% had sleep for duration more than 9 hours/day at baseline survey. During the 9-year cumulative follow-up of 6 150.6 person years (follow-up of average 3.4 years for one person), there were 304 new cases of dyslipidemia, with an incidence density of 4 942.6/100 000 person years. The results of competitive risk model analysis showed that compared with those who slept for 7-9 hours/day, the risk for dyslipidemia in oldest old with sleep duration >9 hours/day increased by 22% ( HR=1.22, 95% CI: 1.07-1.39). Compared with the oldest old having no physical exercise, the risk for dyslipidemia in the oldest old having physical exercise decreased by 33% ( HR=0.67, 95% CI: 0.57-0.78). The RCS function showed a linear positive dose-response relationship between sleep duration and the risk for hyperlipidemia. The interaction analysis showed that physical exercise and sleep duration had an antagonistic effect on the risk for hyperlipidemia. Conclusion:Physical exercise could reduce the adverse effects of prolonged sleep on blood lipids in the oldest old.

miR-135 is a highly conserved miRNA in mammals and includes miR-135a and miR-135b.Recent studies have shown that miR-135b is a key regulatory factor in cardio-cerebrovascular diseases.It is involved in regulating the pathological process of myocardial infarction,myocardial ischemia/reperfusion injury,cardiac hypertrophy,atrial fibrillation,diabetic cardiomyopathy,atherosclerosis,pulmonary hyperten-sion,cerebral ischemia/reperfusion injury,Parkinson's disease,and Alzheimer's disease.Obviously,miR-135b is an emerging player in cardio-cerebrovascular diseases and is expected to be an important target for the treatment of cardio-cerebrovascular diseases.However,the crucial role of miR-135b in cardio-cerebrovascular diseases and its underlying mechanism of action has not been reviewed.Therefore,in this review,we aimed to comprehensively summarize the role of miR-135b and the signaling pathway mediated by miR-135b in cardio-cerebrovascular diseases.Drugs targeting miR-135b for the treatment of diseases and related patents,highlighting the importance of this target and its utility as a therapeutic target for cardio-cerebrovascular diseases,have been discussed.