Objective To develop a Nomogram clinical prediction model for the pathological occurrence of extraprostatic extension(EPE)after radical prostatectomy in prostate cancer patients,using simplified site-specific magnetic resonance imaging(MRI)indicators and other clinical parameters.Methods A total of 181 prostate cancer patients[mean age(69.0±7.3)years]who underwent radical prostatectomy were included.These patients had received 3-Tesla multi-parametric magnetic resonance imaging(3-T mpMRI)within 6 months prior to surgery.Based on mpMRI measurements[capsular contact length(CCL)>15 mm,capsular bulging/irregularities,diameter of index lesion(dIL),and evident extraprostatic extension(eEPE)],the dIL?sEPE grading system was derived.The optimal cut-off value of dIL(denoted as dIL)was determined using the Youden J index,and categorized it into a binary variable.A Logistic regression model was established based on the dIL?sEPE grading and clinical scores.The predictive performance of clinical indicators,MRI indicators,and combined clinical and MRI indicators were compared.Finally,a clinical prediction model integrating both clinical and MRI data was developed.Results Pathological EPE was found in 46 out of 181 cases(25.4% ).A Nomogram prediction model for EPE was established with a combination of the dIL?sEPE grading and clinical indicators.Conclusion The combination of dIL?sEPE grading with clinical indicators accurately predicts extracapsular extension in prostate cancer.The Nomogram model that established,based on MRI imaging characteristics and clinical indicators has good performance and is easy to use.It is beneficial to stratifying management for prostate cancer patients,and it provides valuable guidance for patients suitable for nerve-sparing surgery.

OBJECTIVE To investigate the current status and existing issues of hospital-associated infection manage-ment in non-public medical institutions,so as to provide data for the formulation of hospital-associated infec-tion management policies and the construction of a quality evaluation system for hospital-associated infection man-agement in non-public medical institutions.METHODS A qualitative research method was employed.In Dec.2023,semi-structured interviews were conducted with 38 directors of hospital-associated infection management depart-ments in primary,secondary and tertiary non-public medical institutions.The interview data were coded and ana-lyzed by Nvivo 12.0 software to refine themes.RESULTS Three themes were refined:the organizational system for hospital-associated infection management in non-public medical institutions had been basically established,but the division of functions and responsibilities was not yet fully clear,hospital-associated infection management had achieved certain results,including collaborating with other departments to standardize and implement infection control measures,enhancing staff awareness of infection control,and promoting the establishment of organization-al systems.There were issues in infection control works such as insufficient funding,personnel allocation not meeting requirements,and difficulties in implementing infection control measures.The most urgent assis-tance needed was to address the training and professional title promotion for full-time and part-time infection con-trol personnel.CONCLUSION Non-public medical institutions should strengthen staffing and training,enhance the pro-fessional capabilities of infection control personnel,and establish hospital-associated infection management standards that are tailored to the characteristics of non-public medical institutions at all levels.

The health-associated infection in the department of stomatology is an important issue for global public health and is closely associated with the medical quality and the health of health care workers and patients.Al-though certain progress has been achieved in the prevention and control of the health-associated infections in de-partment of stomatology,considering the diversity of influencing factors,the joint effort of the global public health institutions,medical institutions and scientific research institutions remains necessary for the effective con-trol of the hospital-associated infections.The study focuses on the current status of hospital-associated infections in department of stomatology,risk factors and progress of research on prevention and control strategies in recent years so as to formulate more effective prevention and control strategies and provide reference for better prevention and control of the infections and protection of public heath.

Objective To evaluate the effect of bundle intervention on reducing catheter-associated urinary tract in-fection(CAUTI).Methods Hospitalized patients with urinary catheterization in a tertiary first-class hospital were subjected to targeted monitoring of a baseline survey from January to December 2022(pre-intervention).The main causes were found out,and bundle intervention measures were developed and implemented through plan-do-check-act(PDCA)tools from January to March 2023(intervention period).The data from April to December 2023(post-intervention)were collected,difference in catheter use rate and incidence of CAUTI before and after intervention were compared.Results The implementation rate of correctly hanging urine collection bags after intervention was 97.00％,the implementation rate of timely emptying urine collection bags was 91.72％,awareness rate of hand hy-giene among patient's family members was 79.13％,implementation rate of urinary catheter clamping during trans-portation was 74.79％,and daily evaluation implementation rate was 87.68％,which were higher than the pre-in-tervention rates of 85.63％,80.47％,62.75％,60.00％,and 79.93％,respectively.The incidence of CAUTI de-creased from 1.23‰ before intervention to 0.57‰ after intervention,the use rate of urinary catheter decreased from 5.53％before intervention to 5.37％after intervention.Differences of the above indicators were all statistically sig-nificant(all P＜0.05).Conclusion Through targeted monitoring on CAUTI and PDCA quality tools,the weak links in healthcare-associated infection control are identified,more targeted prevention and control measures are for-mulated,the implementation of bundle intervention measures can reduce the incidence of CAUTI.

Objective To develop a deep learning method for small sample multi-omics data using attention mechanism and Meta-learning for the establishment of autism diagnosis model.Methods MLAN(Meta-learning based attentive network)consisting of the omics feature pre-reduction module,the multi-omics data fusion and feature learning module,and the parameter optimization module was designed.Firstly,differential expression analysis was performed on high-dimensional multi-omics data to preliminarily screen out unimportant features.Secondly,a multi-channel attention mechanism was used to learn the importances of every set of omics data and to realize data fusion,and a two-layer fully connected network was constructed to further extract latent features and realize the diagnosis task.Finally,the Meta-learning algorithm Reptile was used to optimize the initial parameters of the above model to obtain the optimal parameters.A total of 58 children's saliva samples were collected,including 21 children diagnosed with autism,12 children with social disorders,and 25 healthy controls,and the protein and metabolomics data were detected by mass spectrometry.All data were randomly divided into training set and test set by 4∶1,and the training set was divided into training data and validation data in the same way for model training and validation.The test set was used for the final evaluation of the model effect.Five baseline models and three ablated models were constructed and evaluated along with MLAN based on metrics including multi-classification accuracy,F1-macro and F1-weighted scores.Results The constructed multi-classification autism diagnosis model MLAN achieved multi-classification accuracy,F1-macro and F1-weighted scores of 0.850±0.066,0.817±0.103 and 0.834±0.087.The values of all three indicators were better than those of baseline models and the ablated models.Conclusion The proposed MLAN can effectively deal with heterogeneous multi-omics data with small samples and achieve good results,which is expected to provide assistance for the clinical diagnosis of autism.

Objective:To explore the role of the expression of peroxisome proliferator-activated receptor β/δ(PPARβ/δ)in the anti-inflammatory mechanism of acupuncture(AC)against cerebral ischemia-reperfusion injury(CIRI)in rat hippocampal tissue.Methods:A total of 60 SD rats were randomly divided into Sham group,CIRI group,CIRI+AC group and CIRI+AC+PPARβ/δsiRNA group.The CIRI rat model was prepared by the method of middle cerebral artery occlusion,and acupuncture treatment was used for intervention.The neurological function of rats was assessed by the modified neurological severity score(mNSS)method after 72 hours of intervention.The brain in-farction volume ratio was observed by 2,3,5-triphenyltetrazolium chloride(TTC)staining method.The pathological morphological changes of brain tissue were observed by hematoxylin-eosin(HE)staining.The expression levels of PPARβ/δ,IL-1β,and IL-10 mRNA in the hippocampal region were detected by RT-qPCR.Results:Compared with the Sham group,the mNSS scores and the brain infarction volume ratio in all modeling groups were significantly in-creased.Compared with the CIRI group,the mNSS scores and the brain infarction volume ratio in the CIRI+AC group were significantly reduced.The expression levels of PPARβ/δ and IL-10 in the hippocampus were significantly upregu-lated,while the expression level of IL-1β was significantly downregulated(P<0.01),with scattered inflammatory cell infiltration observed.Compared with the CIRI+AC group,there was no significant difference in the mNSS scores and the brain infarction volume ratio in the CIRI+AC+PPARβ/δsiRNA group.The expression level of PPARβ/δ in the hippocampus was significantly downregulated(P<0.01),while no significant difference was found in the expression level of IL-10 and IL-1β mRNA,with a small amount of inflammatory cell infiltration observed.Conclusion:Acupunc-ture ameliorates the recovery of neurological function and the ratio of cerebral infarction volume in rats with CIRI,and its mechanism may be associated with the upregulation of PPARβ/δ expression,thereby reducing inflammatory respon-ses and exerting neuroprotective effects.

Objective:To investigate the effects of acupuncture intervention on the expression of circRNA_017109 and miR-138-5p in the hippocampal region of rats with cerebral ischemia-reperfusion injury(CIRI),and to explore the potential mechanism of acupuncture in treating CIRI.Methods:Forty-five Sprague-Dawley(SD)rats were divided into sham group,middle cerebral artery occlusion/reperfusion(MCAO/R)group,and acupuncture(MCAO/R+AC)group.The MCAO/R and MCAO/R+AC groups were subjected to the modified Longa suture method to establish the MCAO/R model.The MCAO/R+AC group received acupuncture at the"Dazhui","Renzhong",and"Baihui"acu-points.Neurological impairment was assessed via the modified neurological severity score(mNSS).while cerebral infarct volume was assessed through TTC staining.Histological alterations in brain tissue were examined via HE stai-ning,and the expression of circRNA_017109 and miR-138-5p in the hippocampal area were determined using RT-qPCR.Results:The mNSS scores and cerebral infarct volume ratios in the model groups were markedly higher than those in the sham group(P<0.01),but these were significantly reduced in MCAO/R+AC group compared to the MCAO/R group(P<0.01).HE staining showed severe necrosis and inflammation in the MCAO/R group's hippocam-pus,while the MCAO/R+AC group had minimal necrosis and scattered inflammation.RT-qPCR results indicated that the expression of circRNA_017109 and miR-138-5p was downregulated in the MCAO/R group,while MCAO/R+AC group upregulated the expression of circRNA_017109 and miR-138-5p(P<0.05,P<0.01).Conclusion:Acupunc-ture can improve neurological deficits,reduce cerebral infarction volume,and alleviate inflammatory cell infiltration in CIRI rats by upregulating the expression of circRNA_017109 and miR-138-5p,thereby exerting neuroprotective effects.

Objective To analyze and compare the efficacy of DNA barcode,i.e.,Cytochrome b(Cytb)and 12S ribosomal RNA(12S rRNA)gene sequences,in the species identification of wildlife.Methods DNA extraction,quantification,PCR amplification of Cytb and 12S rRNA gene fragments,Sanger sequencing,and sequence alignment analysis were performed on ten wildlife samples.Results Both gene fragments were successfully amplified in six samples,while Cytb alone was successfully amplified in 1 sample,and 12S rRNA alone in 3 samples.Sequence analysis indicated that Cytb enabled species-level identification for 6 samples(Gallinula chloropus,Streptopelia orientalis,Phasianus colchicus,Falco naumanni,Myiopsitta monachus and Lynx lynx)and genus-level identification for 1 sample(Lepus).In contrast,12S rRNA achieved species-level identificaggion for 8 samples(Gallinula chloropus,Lepus sinensis,Phasianus colchicus,Myiopsitta monachus,Muntiacus reevesi,Macaca mulatta and Lynx lynx),representing seven species,and genus-level identification for 1 sample(Falco).However,by combining Cytb and 12S rRNA,all samples could be identified to the species level.Conclusion When applying DNA barcodes to wildlife identification,the Cytb and 12S rRNA gene regions analyzed here can effectively identify common species such as Gallinula chloropus and Streptopelia orientalis,but face difficulties in distinguishing closely related species within the same genus.Therefore,when conducting wildlife species identification,it is recommended to use two or more DNA barcode markers.

N6-methyladenosine (m6A) modification, as a widespread and high-profile type of epigenetic modification, can dynamically and reversibly regulate the whole process of RNA metabolism. This modification governs RNA stability, splicing, and translation via m6A regulators, which are categorized as Writers, Erasers, and Readers. m6A modification also plays a critical role in the development of tumors. Disruptions in the homeostasis of m6A modification levels lead to dysregulation of m6A regulators. Consequently, these dysregulated regulators modulate the proliferation, migration, and invasion of tumor cells and interfere with the normal functions of suppressor genes and oncogenes. This article aims to comprehensively elucidate the specific regulatory impacts of m6A modification on tumor-related gene expression. It focuses on the regulatory mechanisms of m6A modification on mRNA stability. Additionally, it explores the influence of m6A on the molecular translation of key signaling pathways. Moreover, it investigates the indirect regulatory effects mediated by non-coding RNAs (ncRNAs), etc. The intention is to offer a novel analysis of the pathogenesis of cancer at a new level, and also provide a theoretical basis for finding new effective treatment methods.

Objective:To explore the latent class of childhood abuse and recent life stress in adolescent depression patients, and its effect on intermittent theta-burst stimulation (iTBS) treatment efficacy.Methods:From August 2023 to February 2024, a total of 60 adolescent patients with depression were enrolled. The Chinese version of the maltreatment and abuse chronology of exposure scale (MACE), adolescent self-rating life events check list (ASLEC), Montgomery-Asberg depression rating scale (MADRS)and suicidal ideation scale 5 (SSI-5)were used to assess all subjects. Using latent class analysis, subjects were divided into different subgroups according to 16 factors of MACE and ASLEC. Brain network analysis was conducted using the Dosenbach brain atlas with 160 regions of interest, which were divided into seven large-scale brain subnetworks: visual network (VN), somatosensory motor network (SMN), dorsal attention network (DAN), ventral attention network (VAN), subcortical network (SCN), frontoparietal network (FPN), and default mode network (DMN). Brain network functional connectivity analysis was performed using the DPABI plugin on MATLAB R2022b platform to compare differences in functional connectivity at both edge and network levels between subjects. Data analysis was conducted using SPSS 27.0 software, employing Shapiro-Wilk test, chi-square test, independent samples t-test, and Mann-Whitney U test. Results:Based on latent class analysis, subjects were divided into high abuse-high stress group ( n=38) and low abuse-high stress group ( n=22). At baseline, the high abuse-high stress group showed significantly higher scores in SSI-5 (6.39±2.26 vs 3.45(0, 5.25)), Z=-3.628, P<0.001) and MADRS item 10 (3.00(2.00, 5.00) vs 2.00(0.75, 3.25), Z=-2.794, P=0.005) compared to the low abuse-high stress group, while there was no statistically significant difference in the total score of MADRS between the two groups (27.77±4.19, 26.59±4.74, t=1.972, P=0.053). There was no statistically significant difference in the D-value of MADRS score before and after treatment between the two groups (8.45±6.03, 7.27±5.99, t=0.729, P=0.469) and the D-value of MADRS item 10 score before and after treatment between the two groups (1.00 (0, 3.00), 1.00 (0, 1.00), Z=-1.189, P=0.234). The high abuse-high group showed significantly weakened functional connectivity at the edge level compared to low abuse-high stress group at baseline ( P<0.05, NBS corrected). In the high abuse-high stress group, the mean FC values in the differential brain regions at baseline showed significant negative correlation with baseline suicidal ideation scores ( r=-0.475, P=0.003). Conclusion:The different patterns of childhood abuse and recent life stress affect the baseline clinical presentation and brain network functional connectivity of adolescent depression patients. However, the high abuse-high stress group and low abuse-high stress group showed similar responses to iTBS treatment.