Background Co-exposure to noise and microwave radiation occurs frequently. The central nervous system has been identified as a sensitive target organ for both noise and microwave exposure individually, and the underlying mechanisms remain poorly understood. The specific biological effects resulting from co-exposure to these two factors have yet to be fully elucidated. Objective To clarify the effects of co-exposure to noise and microwave on neurobehavior and hippocampal tissue structure, and to explore the underlying mechanism through the assessment of serum cytokines. Methods C57BL/6N mice were selected and randomly assigned to a blank control group, a noise group, a microwave group, and a combined noise & microwave exposure group. To establish the exposure models, the noise group was subjected to broadband noise at 100 dB for 2 h, while the microwave group received radiation at a central frequency of 9.375 GHz with an average power density of 12 mW·cm⁻² and a specific absorption rate of 2.58 W·kg⁻¹ for 15 min. Open field and tail suspension tests assessed anxiety-like emotional behaviour; novel object recognition and Y-maze tests evaluated cognitive function. Histological changes in hippocampal tissue were examined using haematoxylin and eosin (HE) staining, and Nissl staining under light microscopy. Serum cytokine levels were measured using radioimmunoassay and enzyme-linked immunosorbent assay (ELISA). Results After 3 d of exposure, the noise, microwave, and combined exposure groups showed significant reductions in exploration frequency, duration, and distance within the central zone of the open field test compared to the control group (P < 0.01); the combined exposure group exhibited increased ratios of peripheral-to-central exploration time and distance (P < 0.05). After 7 d of exposure, compared with the control group, the noise group maintained a decrease in central zone exploration time (P < 0.01), while the combined exposure group showed persistent decline across all central zone metrics (P < 0.05) and elevated peripheral-to-central ratios (P < 0.05); compared to the microwave group, the combined exposure group showed significant less time in the central zone (P < 0.05) and higher peripheral-to-central ratios (P < 0.05). Regarding behaviour and cognition, compared with the control group, the combined exposure group showed increased immobility time in the tail suspension test after 3 d of exposure (P < 0.01). At this interval, all exposure groups demonstrated reduced frequency and duration of novel object recognition (P < 0.05), with the combined exposure group showing a marked decrease in novel arm exploration time (P < 0.01). After 7 d of exposure, compared with the control group, the noise group showed reduced novel object recognition frequency (P < 0.05), and both the noise and microwave groups exhibited decreased novel arm exploration time (P < 0.05). Pathological alterations including an increased number of hyperchromatic nuclei and depleted Nissl bodies were observed in the CA3 and DG regions across all exposure groups with the most severe lesions observed in the combined exposure group. Serum levels of central nervous system-specific protein β (S-100β), glial fibrillary acidic protein (GFAP), and corticosterone (CORT) were significantly elevated in all exposure groups compared with the control group (P < 0.05). Aquaporin-4 (AQP4) levels increased in the combined exposure group (P < 0.05), while CXC chemokine ligand 10 (CXCL10) levels rose in both the noise and combined groups compared with the control group (P < 0.05). Specifically, S-100β and CXCL10 levels in the combined exposure group were higher than those in the microwave group (P < 0.05); moreover, levels of S-100β, GFAP, CORT, AQP4, and CXCL10 in the combined exposure group were significantly higher than those in the noise group (P < 0.05). Conclusion Combined exposure to noise and microwave radiation induces pathological changes in the hippocampus of mice, increases levels of serum stress hormones and neuro-specific biomarkers. These impairments are more severe than those observed following single-factor exposure. The underlaying mechanism may be related to systemic stress response, neuronal damage, astrocyte activation, and changes in blood-brain barrier permeability, leading to emotional behavioral abnormalities and cognitive decline.

AIM:To determine the concentration of ARV-471(a representative PROTAC drug)in mice plasma by establishing an HPLC-MS/MS method and to apply this method in pharmacokinetic studies in mice.METHODS:Verapamil was taken as the inter-nal standard,the mice plasma samples were extract-ed by methanol.After centrifugation,the superna-tant was analyzed by liquid chromatography-mass spectroscopy(LC-MS/MS).Chromatographic col-umn:ACQUITY UPLC HSS T3(1.8 μm,2.1 mm × 50 mm);The mobile phase consists of acetonitrile(containing 0.1％formic acid)and 2 mmol/L ammoni-um formate aqueous solution(containing 0.1％for-mic acid)for gradient elution;flow-rate of 0.6 mL/min;injection volume:2 μL.The electrospray ioniza-tion(ESI)is employed,operating in positive ion scan-ning mode with multiple reaction monitoring(MRM)detection.The specificity,standard curve and quanti-fication limit,precision and accuracy,recovery rate and matrix effect,stability and dilution reliability of this method were examined.Furthermore,the plas-ma concentration and pharmacokinetic parameters of ARV-471 in mice after intravenous injection of 5 mg/kg and oral gavage of 30 mg/kg were deter-mined and calculated.RESULTS:The results dem-onstrate that ARV-471 exhibits a good linear rela-tionship within the concentration range of 2.0 to 2 000.0 ng/mL.The intra-and inter-accuracy were between 80.0％and 120.0％,with the intra-and in-ter-precision less than 15％.The results of method-ological study of specificity,matrix effect,stability conformed to the requirements of the guideline.Pharmacokinetic parameters reveal that after oral administration of 30 mg/kg ARV-471 to male and fe-male mice,Cmax were(2 947.19±454.77)and(2 682.02±342.23)ng·mL-1;AUC0-twere(23 357.37±3 488.00)and(20 161.23±1 871.32)ng·h·mL-1;T1/2were(3.11±0.18)and(2.93±0.62)h.Tmax were(1.83±0.41)and(2.00±0.00)h for male and fe-male mice,respectively.After intravenous adminis-tration of 5 mg/kg ARV-471 to male and female mice,the AUC0-t values were found to be(18 219.07±2 059.41)and(17 238.01±2 380.55)ng·h·mL-1;T1/2 values were(2.76±0.23)and(2.73±0.20)h;The absolute bio-availability of ARV-471 were deter-mined to be(19.49±1.81)％and(21.37±3.19)％for male and female mice,respectively.CONCLU-SION:This study establishes a rapid and effective method for the pharmacokinetic research of ARV-471,laying the foundation for the pharmacokinetic studies of PROTAC drugs.

Aim To investigate the impact of G pro-tein-coupled estrogen receptor 1(GPER1),also known as GPR30 playing a significant role in the nerv-ous system,on neuronal damage and cognitive dysfunc-tion following epileptic seizures.Methods The pro-tein expression levels of GPER1 and the DNA damage marker γ-H2AX in epileptic rats were assessed using Western blot.The hippocampal neuronal damage and apoptosis in pilocarpine-induced epilepsy models were evaluated using Nissl and TUNEL staining techniques,compared with GPER1 knockdown(GPER1-KD)rats with wild-type(WT)controls.The behavioral activi-ties,including memory and spatial learning,were mo-nitored during the chronic phase of epilepsy using the IntelliCage system.Results Compared to the control group,GPER1 protein expression in the cerebral cortex and hippocampus significantly increased 24 hours post-epilepsy onset.In the GPER1-KD+EP group,hipp-ocampal neuronal damage was more severe,with a sig-nificant increase in apoptotic neurons compared to the WT+EP group.The IntelliCage data revealed that during free exploration,nose contact,position learn-ing,and reverse position learning stages in the GPER1-KD+EP group exhibited fewer visits and a higher error rate than in the WT+EP group.Conclu-sions Deficiency in GPER1 impairs memory and spa-tial learning abilities following epilepsy,potentially due to exacerbated neuronal injury,apoptosis,and inflam-mation.GPER1 represents a promising therapeutic tar-get for mitigating post-epileptic nerve damage and cog-nitive impairment.

Aim To construct and analyze the genotype of G protein-coupled receptor kinase 2(GRK2)conditional knockout mice in synoviocytes,and to provide an animal model for stud-ying the function of GRK2 in synoviocytes.Methods Grk2flox/+mice were bred to generate Grk2flox/flox mice,Grk2flox/flox mice were bred to Col1a1-iCre+mice,Grk2flox/+Col1a1-iCre+mice were bred to Grk2flox/flox mice.Grk2flox/flox Col1a1-iCre+mice were ob-tained as target mice.DNA was extracted and amplified by PCR to identify the genotype.Western blot was used to verify the effect of Grk2 knockout in synovium,liver and kidney tissues.HE staining was used to detect the effects of Grk2 conditional knockout in synovial cells on ankle synovium,liver and kidney tissues.Multiple immunofluorescence was used to detect GRK2 expression in synovial cells.Results The results of gene iden-tification showed that Grk2flox/flox Col1a1-iCre+mice had both Flox and Col1a1-iCre genotypes.Western blot results showed that GRK2 expression decreased in synovial tissues of Grk2flox/flox Col1a1-iCre+mice,but there was no significant change in the expression of GRK2 in liver and kidney tissues.HE staining showed that Grk2flox/flox Col1a1-iCre+mice had no significant pathological changes in the ankle synovium,liver and kidney.The results of multiple immunofluorescence showed that GRK2 expression in synovial cells of Grk2flox/flox Col1a1-iCre+mice de-creased.Conclusion Grk2 conditional knockout mice in syno-viocytes are successfully constructed and identified,which pro-vides an animal model for further study of the role of GRK2 in synovial-related diseases.

40 patients with choronic periodontitis underwent periodontal basic treatment were randomly divided into 2 groups(n=20).The patients in control group used special toothpaste and toothbrush to brush their teeth after meals,those in the experimental group brushed their teeth with special toothpaste and toothbrush in the morning,evening and after meals,and wore personalized film pressing trays containing cymene care solution while sleeping at night.Gingival bleeding,periodontal pocket depth and attachment loss were ob-served after 4,6 and 10 weeks respectively.The personalized tray combined with cymbidium reduced the depth of periodontal pocket(P＜0.05)and the rate of probing bleeding sites(P＜0.05)more effectively,and showed no statistical significance in the change of attachment loss(P＜0.05).Cymene care solution is effective in the improvement of periodontal health.

Objective To investigate the effects of long-term radiofrequency(RF)radiation at 2.65 GHz on behavior,inflammatory response,and intestinal microecology in mice in order to provide a basis for the safety assessment of long-term RF exposure.Methods One hundred and eight male C57BL/6N mice(17～21 g,6～8 weeks old)were randomly assigned to a control group(Con)and a RF exposure group.The mice of the RF exposure group were subjected to whole-body uniform exposure to 2.65 GHz RF radiation in an electromagnetic reverberation chamber for 3 h/day for 28 consecutive days.RF field distribution and changes in core body temperature were monitored using an electromagnetic radiation analyzer and a fiber-optic temperature probe,respectively.Cognitive function was assessed using the Y-maze and novel object recognition(NOR)test.Anxiety-like behaviors were evaluated through open field test(OFT)and elevated plus maze(EPM),while depressive-like behaviors were examined with sucrose preference test(SPT)and tail suspension test(TST).HE staining was used to observe the histopathological changes in mouse tissues.Radioimmunoassay(RIA)was employed to detect the expression of pro-inflammatory cytokines,TNF-α and IL-1 β,as well as anti-inflammatory cytokines,IL-4 and IL-10 in the serum,brain,jejunum,and spleen samples.Additionally,metagenomic sequencing was performed to assess alterations in the gut microbiota composition.Results Long-term RF radiation led to a maximal increase of 0.59℃in the core body temperature,but had no significant effects on cognitive function,anxiety-like behaviors,or depressive-like behaviors,or apparent damage of the hippocampal or jejunal tissues in the exposed mice.However,RF exposure significantly up-regulated the expression of the pro-inflammatory cytokine TNF-α in serum(P<0.05),and did not significantly alter the concentrations of other cytokines(IL-1β,IL-4,IL-10),caused significant decrease in α-diversity of the intestinal microbiota(P<0.01),with reduced relative abundances of Ligilactobacillus murinus and Acetatifactor muris(P<0.05),while elevated abundances of Lachnospiraceae bacterium(P<0.01).Conclusion Long-term exposure to 2.65 GHz RF radiation induces systemic inflammatory responses and disrupts gut microbiota homeostasis in mice.

Objective:To estimate the radiation dose to caregivers and the public from 177Lu- peptide receptor radionuclide therapy (PRRT) for pediatric neuroblastoma patients and determine the duration of contact restrictions, in order to provide a reference for relevant radiation protection measures. Methods:A retrospective study was conducted by collecting data from 18 pediatric neuroblastoma patients, aged between 3 and 13 (6.72±2.72), who received 177Lu-1, 4, 7, 10-tetraazacyclododecane-1, 4, 7, 10-tetraacetic acid-D-Phe1-Tyr3-Thr8-octreotide (DOTATATE) treatment at the Nuclear Medicine Department of Shandong Cancer Hospital from June 2023 to July 2023. Absorbed dose rate in air at 0, 0.1, 0.5, 1 and 2 m from the patients was measured using a radiation-survey at 1, 4, 24, 48 and 96 h after administration. The whole-body region of interest was delined using HERMES software. Subsequently, curve regression fitting was performed using a biexponential function model. By incorporating hypothesized social contact durations, the effective doses received by family members and the public in contact with patients were estimated. Additionally, MIM software was used to outline the whole-body VOI to obtain the total volume of lesions, and the Pearson or Spearman correlation coefficient was employed to analyze the relationship between the absorbed dose rate in air and clinical indicators as well as the total volume of lesions. Results:The 177Lu-DOTATATE administration dose was (4 353.42±1 451.51) MBq. All patients were discharged from hospital 24 h after 177Lu-DOTATATE administration. At the time of discharge, patients had excreted (76.70±3.99)% of the administered activity, and the absorbed dose rate in air at 0.1, 1 and 2 m from the patients were (32.74±6.98), 3.68(3.01, 4.70) and (1.22±0.51) μSv/h, respectively. After being discharged, the radiation doses to caregivers from children aged 2-5 years and 5-13 years were (2.47±1.80) mSv and (0.88±0.47) mSv, respectively. The contact restriction duration was 2 d for nighttime sleeping with family members and 1 d for contact with other children. On the day of discharge, patients should limit their time on public transportation within 4 h and do not need to restrict private transportation. Conclusions:To ensure the effective dose kept within the safety limits stipulated by current regulations, it is necessary to implement contact restrictions for patients’ family members and the public. After implementing preventive measures, 177Lu-DOTATATE treatment is a safe radionuclide therapeutic option.

Objective:To explore and model risk factors in patients with major adverse cardiovascular events (MACEs) after acute type A aortic dissection (ATAAD), and to develop and validate a personalized machine learning model to assess risk factors and predict MACEs in these patients.Methods:Clinical data of patients who attended Beijing Anzhen Hospital and underwent surgical treatment for ATAAD from January 2018 to October 2022 were retrospectively analyzed. Using MACEs as the endpoint, 70% of these patients were randomly divided into the training set and the remaining 30% into the validation set. LASSO regression was applied to explore key clinical variables in the training set. The optimal predictive model was selected from nine machine learning algorithms based on area under the curve. And Shapley Additive explanations was used to elucidate the predictive model. Results:Of the 481 patients included in this study, 135 (35.6%) patients experienced an endpoint event. By combining the results of the training and validation sets, when assessing the validity of the single model with the highest predictive accuracy for the outcome, it was shown that the logistic model (0.774, 95% CI: 0.717-0.830) was the most effective in the combined effect and had a high model accuracy (0.743, 95% CI: 0.720-0.766). According to the results of the LASSO, the factors most associated with postoperative MACEs were history of cerebrovascular disease, coronary artery involvement, shock status on admission to the operating room, FDP, PLT, CPB, ascending aortic clamping, and age. Conclusion:In this study, nine machine learning models were developed to predict the occurrence of postoperative MACEs in patients with acute type A aortic dissection. The logistic model performed significantly better compared to other algorithms. Our study successfully predicted postoperative MACES and identified the factors most associated with MACEs.

Objective:To explore the clinical efficacy of "four-step" aortic valve anatomic repair for bicuspid aortic valve(BAV) with aortic regurgitation(AR).Methods:From August 2021 to November 2024, a total of 298 consecutive patients with BAV-AR underwent aortic valve anatomic repair(AVr) in Shanghai Zhongshan Hospital Fudan University, 266 males and 32 females, with age of 39(29.5, 48.5) years. All patients underwent " four-step" three-dimensional anatomic repair of the aortic annulus and leaflets, 129(43.3%) patients via upper mini-sternotomy and 169(56.7%) patients via conventional median sternotomy, with the main steps including: (1) deep dissecting and annuloplasty of the virtual basal ring(VBR); (2) symmetrical repairing of leaflets; (3) replacement or remodeling of the sinus of Valsalva; (4) annuloplasty of the sinotubular junction(STJ). Basal and perioperative data were retrospectively collected, and statistical analysis was performed in conjunction with follow-up data.Results:All patients successfully underwent anatomical repair without transferring to valve replacement during operation. Among them, 43 patients underwent aortic root reimplantation technique(Reimplantation group), while 255 patients underwent modified aortic root sleeve remodeling technique(Sleeve group). The median cardiopulmonary bypass time for the Reimplantation and Sleeve groups were 154(134, 169) minutes and 111(95, 129) minutes, respectively( P<0.05); the median aortic cross-clamp time were 112(100, 131) minutes and 80(67, 94) minutes, respectively( P<0.05). Preoperative TEE showed 35 patients(81.4%) and 229 patients(89.8%) with moderate and severe AR in Reimplantation and Sleeve groups, respectively. Postoperative TEE showed 41 patients(95.3%) with no/trace AR and 2 patients(4.7%) with central mild AR in Reimplantation group, while 212 patients(83.1%) with no/trace AR and 43 patients(16.9%) with central mild AR in Sleeve group. Follow-up was completed in all patients, with a median follow-up of 12.9(4.7, 21.2) months. Echocardiography was obtained in 271 patients(90.9%) at the latest follow-up, including no/trace AR in 167 patients(56.0%), mild AR in 89 patients(29.9%), moderate AR in 14 patients(4.7%), and severe AR in 1 patient(0.3%). Conclusion:Aortic valve anatomic repair by standardized "four-step" approach is safe and reproducible. Satisfied short- and mid-term outcome have obtained in selected BAV-AR patients.

Objective To develop the value of machine learning(ML)models based on contrast-transthoracic echocardiography(cTTE)and transesophageal echocardiography(TEE)combined with clinical and laboratory indicators for predicting patent foramen ovale-associated stroke(PFO-AS).Methods Totally 313 patients with PFO diagnosed with cTTE and TEE were retrospectively enrolled.Among them,65 cases were found complicated with ischemic stroke and confirmed as PFO-AS(PFO-AS group),and the rest 248 cases without ischemic stroke were classified as non-PFO-AS group.The patients were divided into training set(n=219,including 48 cases of PFO-AS and 171 cases of non-PFO-AS)and test set(n=94,including 17 cases of PFO-AS and 77 cases of non-PFO-AS)at the ratio of 7∶3.Univariable and multivariable logistic regression(LR)were used to analyze clinical and laboratory indicators as well as cTTE and TEE parameters in training set to screen independent predictive factors of PFO-AS.ML models,including LR,K-nearest neighbor(KNN),support vector machine(SVM),random forest(RF),decision tree(DT),back propagation neural network(BPNN)and gradient boosting machine(GBM)were constructed,and the predictive efficacy of the models for predicting PFO-AS was evaluated,then the optimal model was selected.Results Patient's age＞49-69 years,with smoking history,plasma albumin≥43.8 g/L,significant right-to-left shunt at rest shown on cTTE and complicated atrial septal aneurysm shown on TEE were all independent predictors of PFO-AS,which were used to construct ML models.The area under the curve(AUC)of LR,KNN,SVM,RF,DT,BPNN and GBM models in training set was 0.779-0.853,while in test set was 0.730-0.877.RF model had relatively high and comparable sensitivity,specificity and AUC in both training and test sets,also higher precision and smaller Brier score in test set,hence was regarded as the optimal ML model.Conclusion RF model based on cTTE and TEE combined with clinical and laboratory indicators could be used to effectively predict PFO-AS.