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.

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.

Objective:To explore the impacts of cyclic RNA asparagine hydroxylase(CircASPH)targeting the miR-28-5p/insulin-like growth factor 1 receptor(IGF-1R)axis on the proliferation,migration,and invasion of ovari-an granulosa cells in polycystic ovary syndrome(PCOS).Methods:Human ovarian granulosa cells KGN and COV434 were used as research subjects,the targeting relationship among CircASPH,miR-28-5p,and IGF-1R was confirmed through dual luciferase reporter gene experiments and pull down experiments.KGN and COV434 cells were grouped into si-NC group,si-ASPH group,si-ASPH+anti NC group,and si-ASPH+anti miR-28-5p group.The mRNA expression levels of CircASPH,miR-28-5p,and IGF-1R mRNA were detected by qRT-PCR,cell proliferation,migration,and invasion were detected by MTT assay,Edu staining,and transwell cell assay,respec-tively;and Western blot was applied to detect the expression of proliferating cell nuclear antigen(PCNA),matrix metalloproteinase-2(MMP-2),vimentin,N-cadherin,E-cadherin,and IGF-1R proteins.Results:Bioinformatics a-nalysis and dual luciferase reporter gene experiments showed that CircASPH,IGF-1R and miR-28-5p had targe-ted binding sites.Compared with si-NC group,the expression level of CircASPH,OD490 value,Edu positive cell rate,cell migration and invasion number,MMP-2,vimentin and N-cadherin in si-ASPH group were decreased,while the expression level of miR-28-5p and E-cadherin protein were increased,and the differences were statisti-cally significant(P<0.05).Compared with the si-ASPH+anti-NC group,the expression level of miR-28-5p and E-cadherin in the si-ASPH+anti-miR-28-5p group were decreased,and the OD490 value,Edu positive cell rate,cell migration and invasion number,MMP-2,vimentin and N-cadherin were increased,the differences were statisti-cally significant(P<0.05).Conclusions:In KGN and COV434 cells,inhibiting the expression of CircASPH can inhibit the proliferation,migration,invasion,and epithelial-mesenchymal transition of ovarian granulosa cells by reg-ulating the miR-28-5p/IGF-1R axis,which may become a new target for the treatment of PCOS.

ObjectiveTo investigate the effect of circSLC8A1_005 on the fibrotic phenotype of cardiac fibroblasts and the potential mechanism involved. MethodsThe effect of adenovirus-mediated overexpression of circSLC8A1_005 on the expression of fibrosis-related genes， collagen type I alpha 1 chain （Col1a1）， collagen type Ⅲ alpha 1 chain （Col3a1） and smooth muscle actin alpha 2 （Acta2）， in mouse cardiac fibroblasts （mCFs） were detected. The proliferation and migration activities of mCFs were detected by EdU and wound-healing assay， respectively. Dual luciferase reporter gene assay was performed to detect the activity of potential internal ribozyme entry site （IRES） in circSLC8A1_005. CircSLC8A1_005-translated protein， SLC8A1-605aa， and its intracellular distribution was identified by Western blot assay. The effect of SLC8A1-605aa protein on transcription activity of Sod2 gene was detected by the dual luciferase reporter gene assay. RNA binding protein immunoprecipitation （RIP） was utilized to verify the interaction between SLC8A1-605aa and superoxide dismutase 2 （Sod2） mRNA. Actinomycin D treatment was used to detect the effect of SLC8A1-605aa on Sod2 mRNA stability in mCFs. ResultsAn efficient adenovirus-mediated overexpression of circSLC8A1_005 was achieved in mCFs. The enforced expression of circSLC8A1_005 suppressed proliferation and migration of mCFs， and inhibited the expression of fibrosis-related genes in mCFs. The dual luciferase reporter gene assay revealed the activities of 2 IRES in circSLC8A1_005. Results of Western blot assay showed that circSLC8A1_005 could translate protein SLC8A1-605aa with the prospected molecular weight of 70 ku， which is predominantly distributed in the nucleus. Overexpression of the circSLC8A1_005 and SLC8A1-605aa could consistently inhibit the fibrotic phenotype of mCFs. SLC8A1-605aa could up-regulate superoxide dismutase 2 （Sod2） expression， but not at the transcriptional level. RIP assay indicated that SLC8A1-605aa could specifically interact with Sod2 mRNA， and the results of actinomycin D assay showed that SLC8A1-605aa could enhance the stability of Sod2 mRNA in mCFs. ConclusionCircSLC8A1_005 inhibits the fibrotic phenotype of cardiac fibroblasts via translating SLC8A1-605aa protein， and SLC8A1-605aa may be a potential target for the treatment of myocardial fibrosis.

Obstructive sleep apnea (OSA) is a common sleep disordered breathing disorder. As a major global public health problem, untreated OSA can lead to a variety of adverse health outcomes, including various cardiovascular and cerebrovascular diseases, metabolic disorders, and psychiatric disorders such as anxiety and depression. Traditional OSA therapies such as positive airway pressure (PAP), weight loss, oral appliance, upper airway surgery, and postural therapy focus on the anatomical factors of OSA. However, the pathogenesis of OSA is heterogeneous, and non-anatomical factors also play an important role in most patients. Although there is no drug with exact efficacy for the treatment of OSA, with the deepening understanding of the pathophysiological mechanism of OSA, more and more clinical studies are devoted to the study of drug treatment of OSA and its complications, and a series of results have been achieved. The following is a review of the relevant studies on drug treatment of OSA in recent years, hoping to provide literature support and theoretical basis for future research on drug treatment of OSA.