Animal experimentation constitutes a critical link between basic research and clinical application, making its research quality and translational efficiency paramount. Although considerable progress has been made in standardizing operational procedures and ethical guidelines, the standardization of outcome evaluation systems has significantly lagged, creating a key bottleneck that constrains the quality of biomedical research and evidence synthesis. This deficiency is manifested by pronounced heterogeneity in outcome selection across similar studies, incomplete methodological reporting, and disparate criteria for result interpretation, which severely impairs the comparability of findings and the evidence integration. To cope with this challenge, this paper systematically introduces a mature methodological tool from clinical research–the core outcome set (COS)–and explores its construction strategies and application potential in the field of animal experimentation. Given the extensive diversity of animal experiments, a pragmatic strategy of "focusing on key areas, implementing phased pilots, and promoting gradual expansion" should be adopted. This approach prioritizes the development of domain-specific COS for disease areas characterized by high research volume, urgent translational needs, and well-established animal models. A multi-source integration pathway for COS development is detailed, comprising systematic literature searches, methodological appraisals, and expert consensus, with the feasibility of leveraging artificial intelligence (AI) to enhance efficiency also being examined. The development and promotion of such COS are not intended to restrict scientific exploration; rather, they aim to establish a new, tiered evaluation paradigm consisting of "core outcomes" (mandatory), "recommended outcomes" (encouraged), and "exploratory outcomes" (optional). This framework is expected not only to enhance research quality through standardization and to adhere to the "3R" principles but also to accelerate the accumulation of high-quality evidence. This, in turn, provides a solid foundation for higher-level evidence synthesis, ultimately facilitating the effective translation of basic research findings into clinical practice and providing an essential methodological framework for scientific advancement in relevant disciplines.

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.

OBJECTIVE To observe the changes of serum proteins in the mice with carbapenem-resistant hyperviru-lent Klebsiella pneumoniae(CR-hvKP)bloodstream infection by using liquid chromatogram-mass spectrometer(LC-MS),find out the differentially expressed proteins and carry out corresponding biological function analysis.METHODS The models of ICR mice with CR-hvKP and classical Klebsiella pneumoniae(cKP)bloodstream infec-tions were established,the serum specimens were collected from the mice at 12 hours of establishment of the in-fection models and were detected by using LC-MS.The result of LC-MS was identified by using Maxquant soft-ware.The corresponding bioinformatics analysis was performed for the differentially expressed proteins.RESULTS As compared with the normal control group,there were 24 upregulated proteins and 20 downregulated proteins in CR-hvKP group.As compared with cKP group,there were 107 upregulated proteins in the CR-hvKP group.The 134 differentially expressed proteins were retrieved one by one from Uniprot database,it was found that the pro-teins were involved in biological regulation,immune process,biological interaction,movement,metabolic process,response to stimulation,signal transduction,inflammatory response,oxidative stress and angiogenesis.The signal pathway analysis involved multiple metabolism-related pathways,including complement and coagula-tion cascades,cholesterol metabolism,bacterial infection,heme clearance,and assembly,remodeling and clear-ance of plasma lipoprotein.In terms of the proteins being attached great importance,the expression levels of kal-likrein B1(KLKB1)and serpin family A(Serpina)1b were downregulated as compared with the normal control group and were upregulated as compared with the cKP group;the expression levels of serum amyloid A protein(SAA)1,SAA2,Vanin-3(VNN3)and hemoglobinβpolypeptide chain b2(HBB-b2)were upregulated as com-pared with both the cKP group and the normal control group.CONCLUSIONS The CR-hvKP bloodstream infection involves the activation and action of multiple proteins.The rise of SAA1,SAA2,VNN3 and HBB-b2 or the de-cline of KLKB1 and Serpina1b may indicate the CR-hvKP bloodstream infection.

Objective:To investigate the pathogen distribution, temporal trends in the rates of antimicrobial resistance, and susceptibility of bloodstream isolates and comparatively explore the epidemiological characteristics of bloodstream infections in hematology departments across 56 healthcare facilities in Guangdong Province from 2020 to 2024.Methods:A multicenter analysis was conducted to evaluate the constituent ratio of different pathogens isolated from clinical isolate data from bloodstream specimens in hematology, respiratory, and intensive care unit (ICU) departments across 56 healthcare facilities in Guangdong Province (2020-2024), and antimicrobial resistance trends in pathogens with high-detection rate over 5 years were assessed. Carbapenem-resistant Gram-negative organisms (CRO) were randomly sampled for carbapenemase gene detection and in vitro antimicrobial susceptibility tests with novel antimicrobial agents.Results:From 2020 to 2024, a total of 8 968, 6 440, and 25 511 bloodstream isolates were identified in the hematology, respiratory, and ICU departments, respectively, across 56 participating facilities in Guangdong Province, with significant differences in the pathogen constituent ratio among departments ( P<0.001). Notably, the hematology department demonstrated a predominance of Escherichia coli (24.1%), Klebsiella pneumoniae (17.5%), Pseudomonas aeruginosa (11.7%), coagulase-negative Staphylococci (15.2%), and Staphylococcus aureus (5.1%). In the resistance analysis, the rates of meropenem resistance of Escherichia coli and Klebsiella pneumonia increased from 6.7% and 5.8% (2020) to 14.0% and 15.8% (2024), respectively. Conversely, Pseudomonas aeruginosa exhibited a declining trend in the rate of meropenem resistance (6.2% to 1.9%) and imipenem (10.2% to 6.1%) during the same period. Acinetobacter baumannii demonstrated a biphasic resistance pattern to common antimicrobial agents, characterized by an initial decline, followed by a rebound. In this study, the susceptibility rates to conventional antimicrobial agents were significantly higher in Staphylococcus aureus versus coagulase-negative Staphylococci, with no glycopeptide- or linezolid-resistant strains detected. Notably, the prevalence of vancomycin-resistant Enterococcus faecium increased from 0 in 2020 to 23.1% in 2024. CRO carbapenemase phenotypes through active surveillance revealed that 80% Escherichia coli isolates were carrying blaNDM, 90% Klebsiella pneumoniae isolates were carrying blaKPC, 10% Pseudomonas aeruginosa isolates were carrying blaVIM, and 100% Acinetobacter baumannii were carrying blaOXA-23. The results of the antimicrobial susceptibility test in CRO revealed that carbapenem-resistant Escherichia coli (CRECO) demonstrated a 0 resistance rate to tigecycline, polymyxin B, and aztreonam/avibactam, whereas carbapenem-resistant Klebsiella pneumoniae exhibited a 0 resistance rate to aztreonam/avibactam, ceftazidime/avibactam, and imipenem/relebactam. Carbapenem-resistant Pseudomonas aeruginosa exhibited a 95.0% susceptibility rate to amikacin and polymyxin B, with a 45.0% resistance rate to ceftazidime/avibactam. In contrast, carbapenem-resistant Acinetobacter baumannii demonstrated complete susceptibility (100.0%) to sulbactam/durlobactam (MIC90=2 μg/ml), whereas eravacycline showed MIC50 and MIC90 values of 1 and 2 μg/ml, respectively. Conclusion:The pathogen constituent ratio of bloodstream isolates differed significantly among hematology, respiratory, and ICU departments. Notably, although CRO exhibited an escalating prevalence, it sustained high susceptibility to novel antimicrobial agents.

Infectious diseases caused by bacteria,viruses,and other pathogens are a significant global public health challenge.Accurate and efficient detection methods are crucial for the diagnosis and prevention of infec-tious diseases.Nucleic acid detection technologies based on the clustered regularly interspaced short palin-dromic repeats(CRISPR)and CRISPR-associated protein(Cas)systems have begun to be applied in the de-tection of pathogenic microorganisms due to their high sensitivity,high specificity,and rapid simplicity.In re-cent years,various convenient and efficient nucleic acid detection technologies and platforms for pathogenic microorganisms have been derived from the CRISPR/Cas system,further expanding the field of pathogen nu-cleic acid detection.This article summarizes the research progress of pathogen nucleic acid detection technolo-gies based on the CRISPR/Cas system,discusses the value of these detection technologies in the in vitro diag-nosis of pathogens,and provides references for the further development of CRISPR/Cas nucleic acid detection technologies.

Objective To investigate the epidemiological characteristics of common respiratory viruses and atypical pathogens in late-term neonates during the pandemic period of Coronavirus Dis-ease 2019(COVID-19)and the impact of non-pharmaceutical interventions(NPIs)on neonatal re-spiratory pathogens.Methods A total of 2,452 late-term hospitalized neonates caused by respirato-ry infection symptoms at the Children's Hospital of Soochow University from January 2018 to February 2023 were included in the study.Data from January 2018 to December 2019 were used as pre-pan-demic control group,and data from January 2020 to December 2021 were used as post-pandemic con-trol group.The changes in nucleic acid test results for eight common pathogens in hospitalized chil-dren during the pandemic period of COVID-19 were retrospectively analyzed.Data from March 2020 to February 2023 were compared to summarize the epidemiological characteristics of neonatal respira-tory pathogens in different seasons after the normalization of the pandemic period of COVID-19.Results Among the 2,452 hospitalized neonates,364(14.85％)tested positive for pathogens,with respiratory syncytial virus(RSV)having the highest detection rate of 262 cases(10.69％),followed by parainfluenza viruses(PIVS)with 64 cases(2.61％).The total number of positive cases for the eight pathogens before and after the pandemic control measures were 229(17.1％)and 96(12.3％)respectively.The detection rate after the pandemic control measures was significantly lower than be-fore(P＜0.05).The detection rates of all eight pathogens decreased after the pandemic control measures,but only the difference in the RSV detection rate was statistically significant(P＜0.05).The peak month for RSV-positive cases was delayed by one month after the pandemic control measures compared to pandemic control before,and there were two peaks in RSV incidence in 2022.PIVS was more prevalent in spring,summer,and autumn before the pandemic control measures,but became more prevalent in winter afterward,with a higher peak in positive cases detected after the control measures than pandemic control before;the seasonality of PIVS infection changed.Conclusion After the implementation of pandemic control measures for COVID-19,the detection rate and epidemiology of common respiratory pathogens in late-term neonates with respiratory infections in Suzhou have changed.NPIs such as wearing masks,hand hygiene,maintaining social distance,and avoiding un-necessary outings have a certain preventive effect on the outbreak of respiratory pathogens.

Background Previous studies have demonstrated that the vagus nerve stimulation improves upper limb function in patients with stroke sequelae(six month-two years).This study aimed to investigate whether the auricular intradermal acupuncture(AIA)acted on the auricular branch of the vagus nerve can facilitate the recovery of upper limb motor function and expedite the effects and characteristics of rehabilitation processes in flaccid phase after stroke in Phase Brunnstrom Ⅰ.Methods This study utilized a randomized controlled single-blinded clinical design.Patients with ischemic stroke in Phase Brunnstrom Ⅰ were randomly assigned to the auricular intradermal acupuncture(AIA)group(AIA,standard rehabilitation,conventional acupuncture)or the sham auricular intradermal acupuncture(sham AIA)group(the sham AIA,standard rehabilitation,conventional acupuncture)for 6 days of 1 week(6 times).Primary outcome measures:Brunnstrom(Ueda Assessment),Fugl-Meyer assessment of the upper extremity(FMA-UE)and its subtype score(FMA-UEFS,FMA-UEES),Wolf motor function test scale(WMFT).Secondary outcome measures:Upper limb active range of joint motion(AROM),manual muscle test(MMT)of upper limb muscles,Barthel index(BI).Results Of the 332 patients who were screened,70 patients met the criteria and were recruited.There were 35 patients in the AIA group,1 patient was fall off,34 patients were actually completed;35 patients in the sham AIA group had no falling off case.Primary outcome measures:The upper Ueda assessment of the AIA group were better than those of the sham AIA group after treatment on days 3 and 6(P<0.05,P<0.001,respectively).The FMA-UEFS score on days 6 of the AIA group were significantly better than those of the sham AIA group(P<0.05).FMA-UEES of the AIA group was more associated with FMA-UE than FMA-UEFS with FMA-UE after treatment on day 6(FMA-UEFS:r=0.728,P<0.001;FMA-UEES:r=0.744,P<0.001).After 3 days and 6 days of treatment,the AIA group of the WMFT were significantly improved in the sham AIA group(P<0.05,P<0.001,respectively).Secondary outcome measures:AROM:After 6 days of treatment,the AIA group of shoulder abduction were more improved than in the sham AIA group(P<0.05).MMT:The muscle strength of elbow flexion,and elbow extension muscle improved more in the AIA group than in the sham AIA group(P<0.05).Barthel index(BI):After 6 days of treatment,there was a significant improvement in the group compared with before treatment(P<0.05),but no difference compared with the group(P>0.05).Conclusions AIA combined with conventional rehabilitation and acupuncture,can effectively improve the upper limb motor function of patients with post-ischemic stroke flaccid hemiplegia and accelerates the rehabilitation process of upper limb motor function.Clinical Trial Registration The study protocol is registered withhttp://www.chictr.org.cn(accession number:ChiCTR2200058141).