Root caries is a prevalent chronic oral disease with an average global prevalence of 41.5%, characterized by high incidence, low rate of treatment, and high rate of retreatment. Root caries is primarily caused by core microbiome-induced dysbiosis and has multiple risk factors, including gingival recession, root surface exposure, and salivary dysfunction. The traditional preventive measures and treatments such as fluoride, mineralizing agents, and restorative materials, are unable to restore or maintain oral microecological homeostasis. Recent studies have demonstrated that probiotics, prebiotics, synbiotics, and antimicrobial peptides may prevent and treat root caries by reversing dysbiosis. In addition, these biotherapeutics can reduce acid production by acidiferous bacteria, promote alkali production (hydrogen peroxide and ammonia) by alkali-producing bacteria, inhibit biofilm formation, decrease extracellular polysaccharide production, and suppress microbial adhesion and aggregation. It is expected to play an important role in the prevention and control of root caries. This article aims to review oral probiotics (Streptococcus oligofermentans, Streptococcus oralis subsp. dentisani, and Streptococcus salivarius), prebiotics (arginine, nitrates, and synthetic compounds), synbiotics, and antimicrobial peptides (gallic acid-polyphemusin I and LH12) to provide evidence and guidance for root caries management through microecological modulation.

OBJECTIVE To explore the characteristics and regulations of adverse drug reactions （ADR） caused by apatinib， and to provide a reference for the safe use of apatinib in clinic. METHODS Case and group reports on ADR and safety evaluation of apatinib were retrieved from Chinese and English databases such as CNKI， Wanfang medical network， VIP and PubMed since its listing in 2014， literature data were extracted and statistically analyzed after screening. RESULTS Totally 101 cases were included， involving 221 ADR. In the above cases， the male-to-female ratio was 1.24∶1， with the highest proportion of patients aged 51 to 70 years， most of the patients were given a dose of 500 mg or more， and the patients given low dose of apatinib combined with other antitumor drugs were also likely to have ADR. One to two types of adverse reaction were the most common， while the types could reach up to six. Most ADR occurred within 30 days after medication， and the systems/organs involved were mainly the cardiovascular system damage，skin and its accessories damage， gastrointestinal system damage and urinary system damage； the main clinical manifestations were hypertension/aggravation，hand-foot syndrome，abdominal pain diarrhea and albuminuria， etc. Hypertension/aggravation， hand-foot syndrome and myelosuppression were the most common serious ADR. Most ADR could be improved/cured by suspension of administration， dose downregulation and symptomatic treatment. All 4 patients who died had underlying diseases， and their ECOG scores all ≥2 points. Special ADR （such as reversible posterior encephalopathy syndrome， psychiatric disorders， and cognitive impairment） were mostly caused by apatinib itself， or may be caused by apatinib in combination with the primary or underlying disease. CONCLUSIONS Advanced age， large dose， combination medication， underlying diseases and poor physical condition might be the high risks for ADR caused by apatinib. It is recommended to monitor the blood pressure，urine protein and skin of hands and feet of all patients with medication on a daily basis，pay attention to the occurrence of special ADR， and timely detect abnormal states and give effective intervention，so as to avoid the aggravation of ADR and other secondary ADR.

Objective To establish an artificial intelligence(AI)diagnostic model for the histopathologic diagnosis of extramammary Paget's disease(EMPD)and to evaluate its efficiency for the diagnosis and differential diagnosis of EMPD.Methods All non-tumor skin disease patients who underwent skin tissue biopsy in Department of Dermatology of First Affiliated Hospital of Army Medical University from September 2003 to February 2023 were recruited,and their pathological data were collected,including EMPD,Bowen's disease(BD),squamous cell carcinoma(SCC),and epidermal hyperplasia and hypertrophy.With EMPD as the main research subject,the histopathological images of BD,SCC,and non-tumor skin diseases were included in the study.The histopathological data of 4 types of diseases was classified and diagnosed by ResNet101 and DenseNet121 deep learning neural networks,and the performance of these models was evaluated.Results The AUC values of the ResNet101 diagnostic model for the diagnosis of EMPD,BD,SCC and non-tumor skin diseases on the images at x20 magnification were 0.97,0.98,1.00 and 0.96,respectively,with an accuracy of 0.925±0.011,while the AUC values on the images at x40 magnification were 1.00,0.99,1.00 and 0.97,respectively,with an accuracy of 0.943±0.017.The AUC values of the DenseNet121 diagnostic model for the diagnosis of 4 diseases on the images at x20 magnification were 0.98,0.95,0.99 and 1.00,respectively,with an accuracy of 0.912±0.034,while the AUC values on the images at x40 magnification were 0.99,0.96,1.00 and 1.00,respectively,with an accuracy of 0.971±0.012.Our results indicated that the histopathologic diagnostic model could effectively differentiate EMPD from BD,SCC and non-tumor skin diseases at low power magnification.The FLPOs of ResNet101 was 786.6 M,and the parameter was 4.5 M;The FLPOs of DensNet121 was 289.7 M,and the parameter was 0.8M.Conclusion Our AI diagnostic model is of good effectiveness in the diagnosis and differential diagnosis of EMPD.DenseNet121 is recommended as the dermatopathological diagnostic model of this study.

Objective:To determine the content of the released nickel ion through the 7 extraction media to extract the Ni-Ti wires and to plot the curve of the released nickel ion so as to identify a leaching medium that can be substituted for blood for in vitro Ni release evaluation. Methods:The release of Ni through microwave digestion/inductively coupled plasma mass spectrometry (ICP-MS) in the goat serum was determined. Because of the high content of Ni release, it could be determined by diluting the extraction medium, and other extraction media could be determined directly. Ni release standard curves were plotted by the release amount and different time point variables. Though the different extraction media Ni release curves confirm the specificity of extraction media instead of blood.Results:By analyzing the Ni release curves of seven leaching media, it was found that none of these seven extraction media was suitable for the evaluation of Ni release in in vitro leaching media. Considering the safety of the leaching medium and the simplicity of preparation, hydrochloric acid solution was chosen as the leaching medium, but the concentration needed to be diluted accordingly. Finally, a hydrochloric acid solution was created as an alternative to blood for the in vitro study of Ni release from Ni-Ti alloy cardiovascular products, with a volume fraction of 0.005%. Conclusions:The in vitro leaching medium that can replace blood was found to be hydrochloric acid for the time being, but its concentration was too high, resulting in too much Ni release as well, which deviated from the actual situation. Therefore, the hydrochloric acid solution was diluted step by step, and the Ni release curve was examined until it was close to the clinical release level, and the actual concentration was determined, thus laying a solid foundation for the subsequent evaluation of the safety and risk.

Objective·To analyze the clinical and genetic characteristics of Chinese pediatric patients with Barth syndrome(BTHS)and provide data to support the prevention and treatment of BTHS.Methods·Eighteen pediatric patients diagnosed with BTHS at Shanghai Children's Medical Center,Shanghai Jiao Tong University School of Medicine,from January 2010 to November 2023,were included.Clinical data(age,birth weight,family history,electrocardiogram,echocardiogram,urine tandem mass spectrometry,complete blood count,blood biochemistry,and genetic test results)were collected to analyze the clinical characteristics,genetic findings,and prognoses of the patients.Results·The study included 18 male patients with BTHS(including 2 monozygotic twins),consisting of one Yi ethnic and 17 Han Chinese patients.The median age at diagnosis was 3.0(1.0,5.6)months.Fifteen patients experienced decreased cardiac function at disease onset,with a left ventricular ejection fraction(LVEF)below 50%.Dilated cardiomyopathy(DCM)was observed in 15 patients,left ventricular non-compaction(LVNC)in 12 patients,and myocardial hypertrophy in 9 patients.During the diagnosis and follow-up,QTc interval prolongation occurred in 9 patients,ventricular arrhythmias in 2 patients,neutropenia in 9 patients,and monocytosis in 10 patients.Urine tandem mass spectrometry revealed 3-methylglutaconic aciduria(3-MGCA)in 8 of 13 tested patients.Fifteen types of TAZ gene mutation were identified in the 18 patients,including 5 novel mutations.Genetic testing of the parents of 16 patients indicated maternal inheritance in 15 cases.The median follow-up period was 8.5(2.6,29.3)months,during which 12 patients died.The median age at death was 7.5(6.0,12.8)months.Causes of death included heart failure(7 cases,with 4 concurrent infections),sudden death(3 cases),ventricular fibrillation(1 case),and accidental death(1 case).Conclusion·BTHS is a rare genetic disorder with multisystem involvement.Its primary clinical manifestations include cardiomyopathy and neutropenia.The condition typically presents early in life,with severe progression and poor prognosis.Prompt recognition,accurate diagnosis,and early intervention are essential for managing this disease.

Purpose/Significance The health index of urban residents is constructed based on human information metrology,and health status of urban residents is measured and evaluated,so as to promote residents'health management and improve their health litera-cy.Method/Process Combined with the relevant research,the health evaluation index system of urban residents is constructed,and the questionnaire survey is carried out.The health index of urban residents is calculated based on the entropy value and the comprehensive index methods,and then the empirical analysis is carried out.Result/Conclusion The difference between the health index of urban resi-dents is the smallest in the external relationship and the largest in the natural environment.There are large differences in the health index of gender and age groups.It is suggested to carry out residents'health education,strengthen the health management of high-risk groups,and construct residents'health portraits.

Objective To establish a human α-synuclein nuclear localization signal transgenic mouse model and investigate the effects of α-synuclein nuclear localization on the behavior of mice.Methods Human α-synuclein nuclear localization signal and EGFP lentiviral vectors were constructed.Transgenic mice were created with the microinjection method.Using PCR and Western Blot method to identify the genotypes and protein expression of the transgenic founder mice and their offsprings.The immunofluorescence was used to examine the localization of human α-synuclein in the mouse brain tissue.The behavioral changes of the transgenic mice were evaluated by the open field test,rotarod test,and O maze test.Results The h SNCA-NLS gene was successfully inserted into the mouse genome,the human α-syn was successfully expressed,and the human α-syn has localized with the nuclear.Further studies found that human α-synuclein nuclear localization signal transgenic mice had significant motor dysfunction,astrocyte proliferation and inflammatory response at 2 months of age and exhibited significant anxiety-like symptoms and reduced expression of the γ-aminobutyric acid(GABA)gene at 9 months of age,which persisted until 12 months of age.Conclusions A human α-synuclein nuclear localization signal transgenic mouse model has been successfully established.The mice exhibit significant motor dysfunction and anxiety-like symptoms.The successful establishment of this model provides a foundation for studying the role of α-syn nuclear localization in Parkinson's disease.

Alzheimer's disease(AD)is a severe threat to human health and one of the three major causes of human death.Double-stranded RNA-dependent protein kinase(PKR)is an interferon-induced protein kinase involved in innate immunity.In the occurrence and development of AD,PKR is upregulated and continu-ously activated.On the one hand,the activation of PKR triggers an integrated stress response in brain cells.On the other hand,it indirectly upregulates the expression of 3-site amyloid precursor protein cleaving enzyme 1 and facilitates the accumulation of amyloid-β protein(Aβ),which could activate PKR activator to further activate PKR,thus forming a sustained accumulation cycle of Aβ.In addition,PKR can promote Tau phosphorylation,thereby reducing microtubule stability in nerve cells.Inflammation in brain tissue,neurotoxicity resulted from Aβaccumulation,and disruption of microtubule stability led to the progression of AD and the declines of memory and cognitive function.Therefore,PKR is a key molecule in the development and progression of AD.Effective PKR detection can aid in the diagnosis and prediction of AD progression and provide opportunities for clinical treat-ment.The inhibitors targeting PKR are expected to control the activity of PKR,thereby controlling the progression of AD.Therefore,PKR could be a target for the development of therapeutic drugs for AD.

Objective To observe the value of deep learning(DL)models for automatic classification of echocardiographic views.Methods Totally 100 patients after heart transplantation were retrospectively enrolled and divided into training set,validation set and test set at a ratio of 7∶2∶1.ResNet18,ResNet34,Swin Transformer and Swin Transformer V2 models were established based on 2D apical two chamber view,2D apical three chamber view,2D apical four chamber view,2D subcostal view,parasternal long-axis view of left ventricle,short-axis view of great arteries,short-axis view of apex of left ventricle,short-axis view of papillary muscle of left ventricle,short-axis view of mitral valve of left ventricle,also 3D and CDFI views of echocardiography.The accuracy,precision,recall,F1 score and confusion matrix were used to evaluate the performance of each model for automatically classifying echocardiographic views.The interactive interface was designed based on Qt Designer software and deployed on the desktop.Results The performance of models for automatically classifying echocardiographic views in test set were all good,with relatively poor performance for 2D short-axis view of left ventricle and superior performance for 3D and CDFI views.Swin Transformer V2 was the optimal model for automatically classifying echocardiographic views,with high accuracy,precision,recall and F1 score was 92.56％,89.01％,89.97％and 89.31％,respectively,which also had the highest diagonal value in confusion matrix and showed the best classification effect on various views in t-SNE figure.Conclusion DL model had good performance for automatically classifying echocardiographic views,especially Swin Transformer V2 model had the best performance.Using interactive classification interface could improve the interpretability of prediction results to some extent.

Objective:To investigate the prevalence of frailty among elders aged ≥60 years in the Beijing community and analyze the risk factors of frailty.Methods:This is a cross-sectional study. A total of 1936 older persons in Baizhifang Community in Beijing were included between May and September 2023. Their frailty was evaluated by Fried Frailty Phenotype Scale. Mini Nutritional Assessment-Short Form (MNA-SF), Short Physical Performance Battery (SPPB), and Geriatric Depression Scale (GDS) were used to evaluate nutritional status, physical function, and depression, respectively. The prevalence and risk factors of frailty among the elderly in the community were analyzed.Results:A total of 168 individuals met the criteria for frailty, and the prevalence of frailty was 8.7%. Compared to the non-frail group, the frail group was predominantly female (71.4% vs 62.2%; χ 2=5.59, P=0.018), older [(72.1±6.6) vs (69.9±6.0) ages; t=-5.25, P<0.001], unmarried (1.8% vs 0.8%; χ 2=8.60, P=0.014), with lower education levels (10.7% vs 3.5%; χ 2=23.38, P<0.001), poorer self-assessed health (22.6% vs 6.5%; χ 2=69.80, P<0.001), lower MNA-SF scores [(12.2±2.2) vs (13.0±1.4) scores; t=6.29, P<0.001], lower SPPB scores [(8.4±1.9) vs (10.2±1.6) scores; t=14.62, P<0.001], higher GDS scores [(4.0±3.8) vs (1.9±2.1) scores; t=-11.48, P<0.001], and worse vision, hearing, and olfactory functions (48.2% vs 34.1%, 36.9% vs 23.0%, 9.5% vs 3.0%; χ 2=13.37, 16.11, 40.58, all P<0.001). They were also more likely to suffer from hypertension (70.8% vs 56.7%; χ 2=12.52, P<0.001), diabetes (42.3% vs 29.4%; χ 2=12.06, P<0.001), osteoarthritis (46.4% vs 30.3%; χ 2=18.39, P<0.001) and stroke (19.0% vs 13.3%; χ 2=4.28, P=0.039). Logistic regression analysis showed that frailty was independently associated with nutritional status ( OR=0.8, 95% CI: 0.7-0.9, P<0.001), depressive symptoms ( OR=1.1, 95% CI: 1.1-1.2, P<0.001), olfactory function ( OR=2.1, 95% CI: 1.4-3.0, P<0.001; OR=2.9, 95% CI: 1.4-5.9, P=0.003), and physical function ( OR=0.6, 95% CI: 0.6-0.7, P<0.001) after adjusting for covariates. Conclusions:The prevalence of frailty among elderly people in community is relatively high. Frailty in community elders is associated with physical function, psychological function, nutritional status, and olfactory function decline.