Objective: To explore the relationship between related factors of non-suicidal self-injury behavior (NSSI) among middle school students in Guizhou Province, so as to provide the evidence for preventing high risk behaviors in adolescents. Methods: A stratified cluster random sampling method was used to select 1 034 junior and senior middle school students from Zunyi City, Qiannan Prefecture and Tongren City in Guizhou Province from April to October in 2023. Questionnaire survey was conducted to collect information including Adolescent Self injury Scale and Family Assessment Device. The R 4.4.1 software was employed for network analysis visualization, centrality indicators, and result stability assessment. Results: The detection rate of NSSI behavior among middle school students in Guizhou province was 29.6%, with a detection rate of 25.5% for boys and 33.1% for girls, showing a statistically significant difference ( χ 2=7.07, P <0.05). There were statistically significant differences in scores of emotional communication, egoism, family rules, positive communication, problem solving, expression of positive emotions and management of negative emotions self-efficacy, and bullying victimization in various dimensions between middle school students with and without NSSI ( Z =-13.66 to -7.05, P <0.01). NSSI among middle school students was positively correlated with social/relational bullying, depression and anxiety, and there were relatively close connections in the network ( r =0.35, 0.43, 0.42, P <0.01). Centrality indicators showed that the highest in strength and closeness centrality were stress ( Z =1.29, 1.58), the highest in betweenness centrality was for emotional communication ( Z =1.91), and the highest in expected influence index was for physical bullying ( Z =1.44)( P < 0.05). Conclusions Stress, emotional communication and physical bullying have significant impacts in the network of factors related to NSSI. Social/relational bullying, depression and anxiety have strong direct correlations with NSSI behavior among middle school students.

Endodontic and periapical lesions are prevalent infectious diseases primarily caused by bacteria and their metabolic byproducts. The most widely used treatment method today is root canal therapy, which aims to remove infectious substances from the root canal. Root canal sealers can fill areas that core filling materials cannot reach, effectively reducing the risk of reinfection through their antimicrobial properties thus improving the success rate of root canal treatment. Various strategies have been employed to enhance the antimicrobial efficacy of root canal sealers through different mechanisms such as mechanical interlocking or chemical bonding. These strategies include antibiotic modification, quaternary ammonium compounds modification, nanoparticle modification, and others. Overall, antimicrobial modification strategies are increasingly diverse, and their effectiveness in enhancing the antimicrobial properties of sealers is beyond doubt. Root canal sealers modified with quaternary ammonium compounds and nanoparticles have shown certain advantages in antibiofilm activity and have potential clinical prospects. However, whether these modified materials have long-term antimicrobial effects, whether they can perform similarly in vivo as they do in vitro, and their biocompatibility are issues that still need to be addressed. In the future, the preparation of root canal sealers with ideal multidimensional properties will require further long-term and in-depth exploration.

BACKGROUND:Small diameter artificial vessels are urgently needed to treat coronary artery and peripheral artery diseases in clinical practice.At present,vascular tissue engineering has become the main method for preparing small diameter artificial vessels.Selecting suitable biomaterials and cell sources is the key factor for successful construction of small diameter tissue engineered vessels. OBJECTIVE:To observe the effect of four kinds of electrospinning membrane materials on proliferation,adhesion and differentiation of bone marrow mesenchymal stem cells into vascular smooth muscle cells. METHODS:Bone marrow mesenchymal stem cells were isolated and extracted from SD rats.The bone marrow mesenchymal stem cells were inoculated separately on polycaprolactone(PCL),polycaprolactone-hyaluronic acid(PCL-HA),polycaprolactone-silk-filament proteins(PCL-SF),and polycaprolactone-gelatin(PCL-GEL)electrospinning membrane materials.After 1,3,and 7 days of culture,the cell arrangement on the material was observed under scanning electron microscope.The proliferation and adhesion of the material were observed by phalloidin staining.The mRNA expressions of CD90,Meflin,and transforming growth factor β were detected by qRT-PCR.After 7 days of induced differentiation into vascular smooth muscle cells,the mRNA expression ofɑ-smooth muscle actin on the material was detected by qRT-PCR. RESULTS AND CONCLUSION:(1)Bone marrow mesenchymal stem cells were arranged along the fibers of the four kinds of electrospinning membranes under scanning electron microscopy.(2)Phalloidin staining showed the regular distribution of bone marrow mesenchymal stem cells on the four kinds of electrospinning membranes and parallel distribution along the fiber direction.Moreover,PCL-HA,PCL-SF,and PCL-GEL electrospinning membranes were more conducive to the proliferation and adhesion of bone marrow mesenchymal stem cells than PCL electrospinning membranes.Compared with PCL-HA and PCL-GEL electrospinning membranes,PCL-SF electrospinning membranes were more conducive to the proliferation and adhesion of bone marrow mesenchymal stem cells.(3)qRT-PCR showed that the four kinds of electrospun membrane materials could maintain the mRNA expression of CD90 and Meflin in bone marrow mesenchymal stem cells,but there was no significant difference between groups(P>0.05).The mRNA expression of transforming growth factor β in PCL-HA,PCL-SF,and PCL-GEL groups was higher than that in PCL group on days 1 and 7(P<0.05),and the mRNA expression of transforming growth factor β in PCL-SF group was higher than that in the other three groups on days 3 and 7(P<0.05).The mRNA expression of transforming growth factor β in PCL-HA group was higher than that in PCL-GEL group on day 7(P<0.05).(4)qRT-PCR showed that the mRNA expression of ɑ-smooth muscle actin in PCL-SF group was higher than that in the other three groups(P<0.05),and that in PCL-HA group was higher than that in PCL group(P<0.05).(5)The results indicate that compared with PCL,PCL-HA and PCL-GEL electrospinning membranes,PCL-SF electrospinning membranes combined with bone marrow mesenchymal stem cells are more suitable for the preparation of small diameter tissue engineered vessels.

In In recent years, small-molecule targeted protein degraders inducing protein degradation have been developing rapidly. These molecules are attracting substantial interest from researchers since they can overcome such limitations of traditional small-molecule inhibitors as their inapplicability to ‘undruggable’ targets and tendency to induce drug resistance. Compared with other targeted protein degraders, small-molecule hydrophobic tags (HyTs) may have a smaller number of hydrogen bond donors/acceptors, smaller molecular weights, and better pharmacokinetic profiles, thus attracting extensive attention from researchers. This review focuses on the possible mechanisms and popular types of HyTs, with special attention to the potential application value of adamantane, a typical hydrophobic tag, in the fields of cancer and neurodegeneration. In general, there are still some problems like fewer types of hydrophobic tags and insufficient research on degradation mechanisms, which still need to be further explored. This review is expected to provide researchers working in the fields of small-molecule targeted protein degraders with some valuable reference.

Objective: To investigate the trend in incidence and change in age at onset of malignant tumor in cancer registration areas of Jiangsu Province from 2009 to 2021, so as to provide the evidence for formulating cancer prevention and control strategies and optimizing the allocation of healthcare resources. Methods: Incidence data of malignant tumor cases from 2009 to 2021 were collected from the aggregated database of 16 qualified cancer registries of Jiangsu Province. The crude incidence, age-specific incidence, average age at onset, proportion of age-specific incidence, and proportion of incidence in cases aged ≥60 years were calculated by genders and urban/rural areas, and age-standardized using the Segi's world standard population. The trend in incidence of malignant tumor from 2009 to 2021 was evaluated using average annual percent change (AAPC). The trend in average age at onset of malignant tumor from 2009 to 2021 was evaluated using the linear regression model. Results: From 2009 to 2021, a total of 703 185 cases of malignant tumor were reported in Jiangsu Province, comprising 400 970 males and 302 215 females. The crude incidence of malignant tumor increased from 268.26/100 000 in 2009 to 380.97/100 000 in 2021 (AAPC=2.880%, P<0.05). From 2009 to 2021, the world population-standardized incidence of malignant tumor showed upward trends in the total population, females, and urban and rural areas (AAPC=0.635%, 2.332%, 0.795%, and 0.385%, all P<0.05), while a downward trend was observed in males (AAPC=-0.608%, P<0.05). From 2009 to 2021, the crude incidence of malignant tumor in the groups aged 0-<30 years, 30-<40 years, 40-<50 years, 60-<70 years, and ≥80 years showed upward trends (AAPC=3.160%, 4.462%, 1.295%, 0.569%, and 1.496%, all P<0.05), a downward trend was found in the group aged 50-<60 years (AAPC=-0.860%, P<0.05), while no statistically significant trend was observed in the group aged 70-<80 years (P>0.05). The world population-standardized average age at onset showed downward trends in the total population, females, and urban areas, with average annual decreases of 0.085, 0.223, and 0.136 years, respectively (all P<0.05). Conversely, an upward trend was observed in males, with an average annual increase of 0.081 years (P<0.05). No statistically significant trend was found in rural areas (P>0.05). Compared with 2009, the proportion of malignant tumor incidence cases increased in all age groups between 20-<50 years in 2021. Additionally, the proportion of malignant tumor cases aged over 60 years showed a downward trend from 2009 to 2021 (AAPC=-0.322%, P<0.05). Conclusions From 2009 to 2021, the overall incidence of malignant tumor in registration areas of Jiangsu Province showed an upward trend, with the age at onset tending to become younger. There were differences in the incidence trends across genders and urban/rural areas.

Leukocyte-specific protein 1 (LSP1) is an F-actin binding protein expressed in various leukocytes, including lymphocytes, mononuclear macrophages, and neutrophils. LSP1 is highly conserved across different species. Human LSP1 protein contains 339 amino acids, featuring a Ca²⁺ binding site in the acidic NH2-terminal region and multiple F-actin binding domains along with phosphorylatable sites in the basic COOH-terminal region. Under Ca²⁺ regulation, the COOH-terminal domain of LSP1 binds to F-actin to regulate cell movement and signal transduction. Additionally, LSP1 activates the mitogen-activated protein kinase (MAPK) signaling pathway through phosphorylation mediated by protein kinase C (PKC) and MAPK-activated protein kinase-2, thereby regulating leukocyte proliferation and chemotaxis. The main effects of LSP1 on leukocytes are as follows: LSP1 plays important roles in neutrophil and macrophage migration, affecting cell adhesion, polarization and movement. LSP1 also functions in endothelial cells to regulate leukocyte transendothelial migration. In addition, LSP1 regulates macrophage phagocytosis through interaction with myosin 1e. Moreover, LSP1 regulates leukocyte proliferation and differentiation and plays significant roles in the development of leukemia and other tumors. In summary, LSP1 regulates leukocyte morphology, movement and function through interactions with cytoskeletal and signaling proteins. This review provides a comprehensive summary of these aspects.
Humans ; Leukocytes/cytology* ; Animals ; Cytoskeleton/metabolism* ; Microfilament Proteins/physiology* ; Cell Movement ; Signal Transduction

Autism Spectrum Disorder (ASD) is marked by early-onset neurodevelopmental anomalies, yet the temporal dynamics of genetic contributions to these processes remain insufficiently understood. This study aimed to elucidate the role of the Shank3 gene, known to be associated with monogenic causes of autism, in early developmental processes to inform the timing and mechanisms for potential interventions for ASD. Utilizing the Shank3B knockout (KO) mouse model, we examined Shank3 expression and its impact on neuronal maturation through Golgi staining for dendritic morphology and electrophysiological recordings to measure synaptic function in the anterior cingulate cortex (ACC) across different postnatal stages. Our longitudinal analysis revealed that, while Shank3B KO mice displayed normal neuronal morphology at one week postnatal, significant impairments in dendritic growth and synaptic activity emerged by two to three weeks. These findings highlight the critical developmental window during which Shank3 is essential for neuronal and synaptic maturation in the ACC.
Animals ; Nerve Tissue Proteins/metabolism* ; Mice, Knockout ; Dendrites/metabolism* ; Mice ; Synapses/metabolism* ; Gyrus Cinguli/metabolism* ; Male ; Mice, Inbred C57BL ; Autism Spectrum Disorder/genetics* ; Microfilament Proteins

Geriatric oral health care encounters significant challenges with the increase in the proportion of older individuals. Age-related changes in the dentition, muscles, and joints result in a decline in objective masticatory function, subjective restoration requirements, and acceptability among the elderly population, with individual variations influenced by systemic health. Considering functional requirements, the adaptability of stomatognathic and systemic health conditions, health economics and other factors, the authors believe that it should not be limited to the conventional "one-to-one" strategy for replacing missing teeth in geriatric prosthodontics. There is an urgent need for a precise and adaptable restoration strategy that is more suitable for older individuals. The proposal of a new concept of functional tooth loss updates the minimal restoration standards for elderly patients and establishes the theory of age-friendly functional restoration. Based on the restoration strategy of functional tooth loss, this paper proposes a new concept termed "age-friendly functional restoration of the stomatognathic system", which integrates treatment considerations including endodontics, periodontology, mucosa, muscles, temporomandibular joint, and systemic health. Efforts should be made in four areas as follows. Firstly, the "assessment of accessible function" should be enhanced by considering the interrelationship between stomatognathic and systemic health. Secondly, the "evaluation of appropriate function" is supposed to be optimised in view of subjective needs and objective evaluation of the stomatognathic system. Moreover, the "formulation of treatment plans" needs to be accomplished with the aid of assistive technologies, such as artificial intelligence, to accurately exert appropriate functional restoration. Lastly, the "management and maintenance of health" is likely to be strengthened through follow-ups, propaganda and education, and preventive healthcare, so as to improve quality of life and ultimately achieve healthy ageing among older individuals.
Humans ; Tooth Loss/therapy* ; Aged ; Stomatognathic System ; Oral Health ; Dental Care for Aged ; Dental Restoration, Permanent/methods*

Objective To construct 5 machine-learning models and compare their performance in predicting the associations between pre-pregnancy socio-psycho-behavioral exposures of both spouses and preconception outcomes.Methods Based on Chongqing Preconception Reproductive Health and Birth Outcome Cohort of volunteers recruited from Chongqing Health Center for Women and Children during January 2019 and March 2022,5 447 couples were recruited and surveyed through interviewer-interview for the demographic and social-psychological-behavioral data of both spouses(221 variables).According to the inclusion and exclusion criteria,4 097 couples were finally included,and randomly assigned into a training set(n=2 867 spouses)and a validation set(n=1 230 spouses)at a ratio of 7∶3.Feature analysis and collinear screening were applied to select the potential exposure factors.In consideration of difficulty to carry out semen parameters analysis in primary healthcare institutions,feature Set 1 including sperm parameters and feature Set 2 excluding semen parameters were constructed by including or excluding sperm quality simultaneously in the training set and the validation set.Five algorithms,that is,Logistic Regression,Naive Bayes,Random Forest,Gradient Boosting Machine,and Support Vector Machine,were used to construct preconception outcome prediction models,and the parameters of each model were optimized using random search combined with grid search.The predictive performance of each model was compared using precision,recall,F1 score,area under the receiver operating characteristic curve(AUC),and calibration curve.The optimal model was then selected by comparing the changes in the predictive ability of the questionnaire data for fertility outcomes with or without semen parameters.Results There were 24 variables screened out in feature Set 1,and 16 variables in feature Set 2.In feature Set 1,the gradient boosting machine performed better,with a relatively higher AUC value(0.651)and better F1 score(0.61).The logistic regression model performed stably(AUC value=0.647)and was suitable as the reference model.The random forest(AUC value=0.641),Naive Bayes(AUC value=0.641),and support vector machine(AUC value=0.634)performed second-best.By utilizing the gradient boosting machine,comparable results were found between the predictions from feature sets with or without semen parameters,as in feature Set 1,the AUC value of its validation set was 0.651(95%CI:0.629～0.681),the prediction accuracy was 0.63,the recall rate was 0.65,and the average precision value F1 was 0.61;and in feature Set 2,the AUC value of its validation set was 0.649(95%CI:0.624～0.663),and both the calibration curves were close to the ideal curve.The prediction results indicated that in feature Set 1,the features highly negatively correlated with preconception outcomes were female age,male age,and no pregnancy within 1 year without contraception,while the features highly positively correlated with preconception outcomes were female pregnancy history,total sperm vitality,and use of contraceptive measures before enrollment.Conclusion Among the 5 machine-learning algorithms performed in this cohort data,the gradient boosting machine shows slightly better performance.There are 24 factors being associated with preconception outcomes in both spouses,and the performance of the simplified model excluding semen parameters is not significantly declined.It is feasible to use machine-learning methods to predict human preconception outcomes through social-psychological-behavioral questionnaires.

Environmentally-induced reproductive toxicity is one of the important causes of fertility declines and has become a significant global public health challenge.Elucidating the causal links between exposure to environmental hazards and reproductive damage,unraveling the underlying molecular mechanisms,and establishing precise reproductive injury assessment systems are crucial for development of targeted interventions and safeguarding human reproductive health.In this article,we systematically review the research progress on reproductive toxicity caused by emerging environmental chemical pollutants,common physical factors,and biological factors in the recent 3 years.We summarize the new technologies in the field of toxicology,including novel experimental models,exposomics,and artificial intelligence.We also discuss the potential research directions in risk assessment,prevention and intervention of environmental factors-induced reproductive damage.