The welfare and ethics of laboratory animals are the ethical principles and behavioral norms that need to be followed in conducting animal-based scientific research, breeding and managing laboratory animals, and supervising and regulating such activities. The level of protection of laboratory animal welfare and ethics is closely related to the development of science and technology, which has become a widely recognized international consensus. At present, Guangdong Province is accelerating the construction of a high-level science and technology innovation province and the Guangdong-Hong Kong-Macao Greater Bay Area International Science and Technology Innovation Center. Guangdong Province should rely on its advanced governance capacity in the field of laboratory animal science and technology ethics to promote the high-quality development of its laboratory animal science and technology sector. Based on the management laws, regulations, and institutional mechanisms of laboratory animals in China, this paper explores the optimization of the laboratory animal science and technology ethics governance system, which includes the institutional guarantees, responsibility systems, ethical review and supervision mechanisms, and education and outreach. Through methods such as literature research, questionnaire surveys, and interview investigations, an empirical study of the laboratory animal science and technology ethics governance system in Guangdong Province has been conducted. Analysis of literature and research results shows that Guangdong Province has basically established a laboratory animal management system, collaboration mechanism, supervision mechanism, and education and training system that meet the current requirements of the laboratory animal science and technology ethics governance system in China. However, there are still problems such as an incomplete laboratory animal science and technology ethics supervision mechanism, an underdeveloped operation mechanism of review institutions, insufficient attention paid by laboratory animal units to the ethical review of animal experiments, inconsistent ethical review standards, and a lack of professional ethical education and training for ethics review personnel. Therefore, optimization measures such as improving the laboratory animal science and technology ethics review system, strengthening supervision and inspection, further strengthening the accountability of responsible entities, formulating review norms, and enhancing hierarchical and classified education and training are proposed, to provide a theoretical basis for promoting the normalized and long-term governance of laboratory animal science and technology ethics in Guangdong Province.

OBJECTIVE To investigate the mechanism of Xihuang pill （XHP） against diffuse large B-cell lymphoma （DLBCL）. METHODS The active ingredients of XHP and potential therapeutic targets for DLBCL were identified using TCMSP， GeneCards and DisGeNET databases. Protein-protein interaction networks were constructed using the String database and Cytoscape software to screen core components and core targets. Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were then performed. The clinical relevance of core targets was analyzed using the GEPIA and PanCanSurvPlot databases. Molecular docking and molecular dynamics （MD） simulation were conducted to verify the interactions between core components and core targets， and the binding free energy was calculated using the molecular mechanics Poisson-Boltzmann surface area （MM-PBSA） method. The effects of XHP on DLBCL and the related molecular mechanisms were validated using CCK-8 assay， flow cytometry and Western blot. RESULTS Network pharmacology analysis identified 108 active ingredients of XHP and 410 potential therapeutic targets for DLBCL. Six core components （e.g.， 17 beta-estradiol， quercetin） and ten core targets [e.g.， tumor protein 53 （TP53）， proto-oncogene tyrosine-protein kinase Src （SRC）] were obtained. Enrichment analysis indicated that the anti-DLBCL effects of XHP were primarily associated with the apoptotic signaling pathway， the phosphoinositide 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway and so on. Clinical correlation analysis revealed that TP53 and SRC expression were significantly up-regulated in DLBCL tissues and associated with poor patient prognosis （P＜0.05）. Molecular docking， MD simulations and MM-PBSA calculations confirmed that the SRC-quercetin complex had a mail：stronger and more stable binding affinity. In vitro experiments demonstrated that XHP concentration-dependently inhibited the proliferation of DLBCL cells； compared with control group， XHP medium- and high-dose groups could significantly induce the apoptosis of SU-DHL2 and SU-DHL4 cells， and significantly down- regulated the expressions of SRC protein， phosphorylated （p）-PI3K/PI3K and p-Akt/Akt in SU-DHL4 cells （P＜0.05）. CONCLUSIONS XHP may inhibit the proliferation and induce the apoptosis of DLBCL cells by regulating the SRC/PI3K/Akt signaling pathway.

Background: Automated insulin delivery (AID) systems studies are upsurging, half of which were published in the last 5 years. We aimed to evaluate the efficacy and safety of AID systems in patients with type 1 diabetes mellitus (T1DM). Methods: We searched PubMed, Embase, Cochrane Library, Web of Science, and ClinicalTrials.gov until August 31, 2023. Randomized clinical trials that compared AID systems with other insulin-based treatments in patients with T1DM were considered eligible. Studies characteristics and glycemic metrics was extracted by three researchers independently. Results: Sixty-five trials (3,623 patients) were included. The percentage of time in range (TIR) was 11.74% (95% confidence interval [CI], 9.37 to 14.12; P<0.001) higher with AID systems compared with control treatments. Patients on AID systems had more pronounced improvement of time below range when diabetes duration was more than 20 years (–1.80% vs. –0.86%, P=0.031) and baseline glycosylated hemoglobin lower than 7.5% (–1.93% vs. –0.87%, P=0.033). Dual-hormone full closed-loop systems revealed a greater improvement in TIR compared with hybrid closed-loop systems (–19.64% vs. –10.87%). Notably, glycemia risk index (GRI) (–3.74; 95% CI, –6.34 to –1.14; P<0.01) was also improved with AID therapy. Conclusion AID systems showed significant advantages compared to other insulin-based treatments in improving glucose control represented by TIR and GRI in patients with T1DM, with more favorable effect in euglycemia by dual-hormone full closedloop systems as well as less hypoglycemia for patients who are within target for glycemic control and have longer diabetes duration.

ObjectiveTo investigate the effect of video-based educational intervention combined with maternal presence on perioperative adverse outcomes in preschool children undergoing general anesthesia， including cooperation in anesthesia induction， perioperative anxiety， pain and agitation during recovery. MethodsA total of 300 preschool children scheduled for general anesthesia in our hospital from June to December 2023 were randomly assigned to control group （n=150） and intervention group （n=150）. The control group received routine recovery care. For the intervention group， in addition to routine recovery care， a preoperative visit was scheduled one day before surgery. During this visit， mothers were guided to watch anesthesia videos with their children. During the waiting period in the operating room and 30 minutes after awakening， the mothers were guided to accompany the children for more than 30 minutes. Recovery conditions were recorded using the surgical anesthesia information system， and the children’s anesthetic induction compliance， perioperative anxiety， pain， and agitation were evaluated and recorded using the modified Yale Preoperative Anxiety Scale （m-YPAS）， the Induction Compliance Scale （ICC）， the Children’s Pain Behavior Scale （FLACC）， and the Pediatric Agitation and Emergence Delirium Scale （PAED）. ResultsOn the preoperative visit day， there were no statistically significant differences in baseline data between the two groups （P > 0.05）. For perioperative anxiety， the m-YPAS scores of the intervention group were significantly lower than those of the control group， both when entering the operating room waiting area （35.27±6.48 vs. 41.79±6.68， P < 0.05） and 30 minutes after postoperative recovery （20.13±7.05 vs. 35.75±9.51， P < 0.05）. In terms of anesthesia induction cooperation， the ICC scores of the intervention group were significantly lower than those of the control group （1.84±0.95 vs. 3.17±0.62， P < 0.05）， and the proportion of good induction cooperation was significantly higher than that of the control group （24.00% vs. 12.67%， P < 0.05）. There was no significant difference in awakening duration between the two groups， but the intervention group had a significantly shorter length of stay in the post-anesthesia care unit than the control group （0.90±0.29 hours vs. 1.29±0.42 hours， P < 0.001）. For perioperative agitation， the PAED scores of the intervention group were significantly lower than those of the control group （entering in the operating room waiting area： 8.5 vs. 9.2， P < 0.05； 30 minutes after postoperative recovery： 4.2 vs. 7.8， P < 0.05）. In terms of pain scores， the FLACC scores of the intervention group were also significantly lower than those of the control group， both when entering the operating room waiting area （ 5.3 vs. 6.7， P < 0.05； 30 minutes after postoperative recovery： 2.1 vs. 4.9， P < 0.05）. ConclusionsVideo-based educational intervention combined with maternal presence reduces the perioperative anxiety， pain and agitation of preschool children undergoing general anesthesia， and improved the compliance of anesthesia induction. It is recommended to promote this intervention measure in clinical practice.

OBJECTIVE: To propose a machine learning-based method for predicting the trajectories during manual acupuncture manipulation (MAM), aiming to improve the precision and consistency of acupuncture practitioner' operation and provide the real-time suggestions on MAM error correction. METHODS: Computer vision technology was used to analyze the hand micromotion when holding needle during acupuncture, and provide a three-dimensional coordinate description method of the index finger joints of the holding hand. Focusing on the 4 typical motions of MAM, a machine learning-based MAM trajectory predictive model was designed. By integrating the changes of phalangeal joint angle and hand skeletal information of acupuncture practitioner, the motion trajectory of the index finger joint was predicted accurately. Besides, the roles of machine learning-based MAM trajectory predictive model in the skill transmission of acupuncture manipulation were verified by stratified randomized controlled trial. RESULTS: The performance of MAM trajectory predictive model, based on the long short-term memory network (LSTM), obtained the highest stability and precision, up to 98%. The learning effect was improved when the model applied to the skill transmission of acupuncture manipulation. CONCLUSION The machine learning-based MAM predictive model provides acupuncture practitioner with precise action prediction and feedback. It is valuable and significant for the inheritance and error correction of manual operation of acupuncture.
Humans ; Acupuncture Therapy/instrumentation* ; Machine Learning ; Adult ; Male ; Female

Peri-implantitis is a pathologic condition associated with dental plaque that occurs in the implant tissue and is characterized by inflammation of the mucous membrane surrounding the implant, followed by the progressive loss of supporting bone. In this study, a case of guided bone regeneration therapy based on plaque control of peri-implant inflammation was reported. Four years after surgery for the left second premolar implant, the patient presented with "left lower posterior tooth swelling and discomfort for more than 2 years". The X-ray periapical film showed a decrease in distal bone mineral density of implant, and the clinical diagnosis was peri-implantitis of the left second premolar. Implants underwent guided bone regeneration and regular periodontal maintenance treatment. Re-examination at 3.5 months, 11 months, 18 months, and 7 years showed that the alveolar bone height and bone mineral density were stable, and the periodontal depth became shallow. However, the gingival recession was mild. In the present case, follow-up at 7 years demonstrated that the clinical periodontal indexes could be remarkably improved after complete periodontal treatment for peri-implantitis, and the alveolar bone could be well restored and regenerated.
Humans ; Peri-Implantitis/etiology* ; Follow-Up Studies ; Bone Regeneration ; Guided Tissue Regeneration, Periodontal/methods* ; Dental Plaque/prevention & control* ; Male ; Female ; Dental Implants/adverse effects*

Objective:To investigate the association between abdominal fat-related indicators derived from quantitative computed tomography (QCT) and coronary artery calcification (CAC) in middle-aged and elderly individuals, as well as the diagnostic value of these indicators.Methods:This cross-sectional study enrolled middle-aged and elderly participants who underwent health check-ups at Kaifeng Central Hospital between January and December 2024. Participants were divided into a CAC group and a non-CAC group based on the presence or absence of CAC. The CAC group was then stratified into mild, moderate, and severe subgroups according to CAC severity. General clinical data were collected for all participants. All subjects underwent one-stop QCT scanning of the chest and abdomen. An automated abdominal fat analysis system was used to identify fat distribution regions. If accurate identification was not possible, a semi-automated segmentation algorithm combined with manual correction was applied instead. Two physicians performed the measurements independently, and inter-observer consistency was assessed. The average values were calculated to obtain visceral fat area (VFA) and subcutaneous fat area (SFA). The ratio of visceral fat area to subcutaneous fat area (VFA/SFA) was also computed. Multivariate logistic regression analysis was performed to identify the factors associated with CAC in middle-aged and elderly individuals. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic efficacy of these indicators for CAC. DeLong′s test was used to compare the differences in the area under the curve ( AUC). Results:A total of 252 middle-aged and elderly individuals were included, with a median age of 61 (interquartile rang: 59, 69) years. Of these individuals, 188(74.6%) were males. Among them, 172 were classified into the CAC group and 80 into the non-CAC group. Multivariate logistic regression analysis revealed that VFA, VFA/SFA ratio, age, low-density lipoprotein cholesterol(LDL-C), and hypertension were independently associated with CAC in middle-aged and elderly individuals (all P<0.05). The mild, moderate, and severe CAC subgroups comprised 78, 51, and 43 participants, respectively. Analysis of variance (ANOVA) demonstrated that VFA and VFA/SFA increased with CAC severity, and there were statistically significant differences between the subgroups (all P<0.05). ROC curve analysis showed that the AUCs of VFA and VFA/SFA for diagnosing CAC were 0.841 and 0.810, respectively, with no significant difference between them ( P>0.05). The optimal cutoff values were 177.45 cm2 for VFA (sensitivity: 83.1%, specificity: 72.5%) and 1.592 for VFA/SFA (sensitivity: 65.7%, specificity: 83.7%). For the diagnosis of moderate-to-severe CAC, the AUCs of VFA and VFA/SFA were 0.765 and 0.761, respectively ( P>0.05 for comparison), with cutoff values of 231.75 cm2 (sensitivity: 61.7%, specificity: 83.3%) and 1.962 (sensitivity: 64.9%, specificity: 80.8%). Conclusion:Abdominal VFA and VFA/SFA derived from QCT are independently associated with the presence of CAC in middle-aged and elderly individuals, demonstrating good diagnostic performance for both overall CAC and moderate-to-severe CAC.

Objective To explore the effect of low-frequency repetitive transcranial magnetic stimulation(rTMS)combined with unilateral upper limb mirror training on contralateral limb strength in patients with hemiplegia after ischemic stroke.Methods A total of 196 patients with hemiplegia after ischemic stroke were selected.All patients were divided into study group and control group via a random number table method,with 98 patients in each group.The control group received mirror training,while the study group received low-frequency rTMS treatment in addition to the control group.The neuroelectrophysiology,neurological function,limb motor function,and clinical efficacy of all patients were observed before and after treatment,and all patients were performed the resting-state functional MRI examination.A generalized estimating equation(GEE)model were used to analyze the improvement of contralateral limb strength.Results After treatment,the seed points in the study group showed a significant enhancement in connectivity with the whole brain function.The overall efficiency of the study group was significantly better than that of the control group.After treatment,the central motor conduction time(CMCT),neuron specific enolase(NSE),cortical latency(CL),and S100β of the two groups of patients were significantly reduced compared with before treatment,while the neurotrophin-3(NT-3),nerve growth factor(NGF),Fugl-Meyer assessment upper extremities(FMA-UE),Wolf motor function test(WMFT),modified Barthel index(MBI),and Berg balance scale(BBS)scores were significantly increased.Moreover,the study group showed a more significant improvement compared to the control group(P＜0.05).The GEE model analysis results showed that the improvement of contralateral limb strength in the study group was significantly better than that in the control group.Conclusion Low-frequency rTMS combined with unilateral upper limb mirror training can improve cortical excitability and upper limb motor function in hemiplegic patients after ischemic stroke,with good therapeutic effects.

Objective:To analyze differences in the expression of routine laboratory parameters and cerebrospinal fluid (CSF) examination indicators between patients with non-neurosyphilis (syphilis without nervous system involvement) and those with neurosyphilis, to screen for key predictive factors, and to construct a predictive model for neurosyphilis.Methods:A retrospective analysis was conducted on the clinical data from patients with syphilis at the Fifth People's Hospital of Suzhou from 2019 to 2024. Patients with neurosyphilis and non-neurosyphilis who were hospitalized from November 2019 to June 2022 were included in the model cohort, and those hospitalized from January 2024 to October 2024 were included in the validation cohort. The patients' basic information and laboratory test indicators (including routine blood tests, CSF biochemical analysis, and syphilitic antibody tests) were collected. Statistical analysis was performed using the GraphPad software. The receiver operating characteristic (ROC) curve and the binary logistic regression method were used to analyze the predictive performance of key indicators in patients from the model cohort with SPSS software, and a predictive model for neurosyphilis was constructed. The performance of the neurosyphilis predictive model for neurosyphilis was validated based on relevant indicators from the validation cohort.Results:The model cohort included 99 patients with non-neurosyphilis (including 49 males and 50 females), and they were aged between 19 and 85 years, with an average age of 47 years; 69 patients with neurosyphilis were also included in the model cohort, including 58 males and 11 females, and they were aged between 26 and 73 years, with an average age of 51 years. The neurosyphilis group showed a significant increase in the median levels of CSF adenosine deaminase (1 U/L) and microprotein (711 mg/L), white blood cell counts (0.009 × 10?/L), as well as in the proportion of positive Pandy tests (35/69, 50.7%) compared with the non-neurosyphilis group (0 U/L, 309 mg/L, 0.002 × 10?/L, 2 /99 [2.0%], respectively, all P < 0.001). Based on the ROC curve analysis, the CSF microprotein and white blood cell count had relatively high discriminative ability (area under the ROC curve [AUC] > 0.85), while adenosine deaminase and the Pandy test showed moderate discriminative ability (0.7 < AUC < 0.85). According to the above four indicators, the logistic regression analysis showed that CSF microprotein combined with CSF white blood cell counts could construct the best predictive model for neurosyphilis, with a prediction accuracy rate of 0.980, a sensitivity of 98.5%, and a specificity of 89.9%. The prediction formula was logit (p) = -9.926 + 0.015 × microprotein + 362.33 × CSF white blood cell count, with a cutoff value of ≥ -0.867. The validation cohort enrolled 72 patients with non-neurosyphilis and 51 with neurosyphilis, and there were significant differences in CSF microprotein levels and white blood cell counts between the two groups (both P < 0.001). In the validation cohort, the predictive model demonstrated an accuracy of 86.2%, with a sensitivity of 83.6% and a specificity of 91.1% for predicting neurosyphilis. Conclusion:The predictive model for neurosyphilis constructed by combining CSF microprotein and CSF white blood cell count may contribute to the early differential diagnosis of neurosyphilis.