Temporomandibular disorders （TMD） encompass a prevalent group of conditions affecting the masticatory muscles， temporomandibular joint， and associated structures. Currently， it is widely recognized by scholars both domestically and internationally that TMD has a complex etiology and pathogenesis. Most patients present clinically with pain， yet effective treatment options remain limited. In recent years， the role of ion channels in the pathological mechanisms and therapeutic approaches for TMD has garnered increasing attention. This review systematically summarizes the function of ion channels in the management of temporomandibular joint diseases. First， the multifaceted roles of ion channels in treating TMD are examined， including their regulatory effects on TMJ muscle dysfunction， joint structural abnormalities， and TMJ-related pain. Finally， the potential value of ion channel research in TMD therapy is discussed. With advancing research in this field， ion channel-targeted therapies for temporomandibular disorders are expected to achieve new breakthroughs， thereby providing an important theoretical foundation and practical guidance for developing novel clinical treatment strategies.

Objective To explore the independent risk factors for complicated coronary heart disease (CHD) in patients with obstructive sleep apnea-hypopnea syndrome (OSAHS) and to construct a risk prediction model. Methods A retrospective study was performed to analyze the clinical data of 308 OSAHS patients who visited Jiangsu Provincial People's Hospital from January 2021 to June 2025. The patients were divided into the CHD group (n=80) and non-CHD group (n=228) according to the presence or absence of complicated CHD. Independent risk factors were identified using univariate analysis and multivariate logistic regression, and a nomogram prediction model was constructed. The model was evaluated using the calibration curve, Hosmer-Lemeshow test, Decision Curve Analysis (DCA) curve, and Receiver Operating Characteristic (ROC) curve. Results The incidence of CHD in OSAHS patients was 25.97%. Age, history of hypertension, oxygen desaturation index (ODI), severe polysomnography (PSG) grade, decreased high-density lipoprotein cholesterol, elevated homocysteine, and elevated troponin I were independent risk factors for OSAHS complicated with CHD (P<0.05). The nomogram model demonstrated good calibration (Hosmer-Lemeshow test, P=0.995), and the DCA curve showed high clinical net benefit. The area under the ROC curve was 0.940 (95% CI: 0.908~0.972), with a sensitivity of 0.842 and a specificity of 0.900. Conclusion Age, history of hypertension, ODI, PSG grade, high-density lipoprotein cholesterol, homocysteine, and troponin I are independent risk factors for CHD in OSAHS patients. The prediction model constructed based on these factors can provide a reliable tool for clinical nurses to early identify high-risk individuals and formulate targeted intervention strategies.

ObjectiveTo evaluate the corrective effects of a three-stage structured Tai Chi training program on abnormal neck and shoulder posture from a biomechanical perspective. MethodsEighty-two participants with abnormal neck and shoulder posture were randomly assigned to a treatment group and a control group， with 41 participants in each group. The treatment group received three-stage structured Tai Chi training six times per week， while the control group received online health education once per week. Both interventions lasted for 12 weeks. The primary outcome cervical postural deviation angle， and the secondary outcomes including cervical loading and bilateral shoulder horizontal deviation angle， were assessed before intervention， after 6 weeks and 12 weeks of intervention. Safety was also evaluated. ResultsUltimately， 40 participants from each group were included in the analysis. In the treatment group， cervical postural deviation angle and cervical spine loading were significantly reduced after 12 weeks of intervention compared with baseline and after 6 weeks of intervention. The bilateral shoulder horizontal deviation angle decreased significantly after both 6 and 12 weeks of intervention compared with baseline （P＜0.05）. In the control group， cervical spine loading was reduced after 6 and 12 weeks of intervention compared with baseline （P＜ 0.05）. After 12 weeks of intervention， the treatment group showed lower cervical postural deviation angle and bilateral shoulder horizontal deviation angle than the control group， whereas cervical loading was higher in the treatment group after 6 weeks of intervention （P＜0.05）. Significant differences were observed between groups in the changes from baseline to week 12 for cervical postural deviation angle and bilateral shoulder horizontal deviation angle， as well as in the changes from baseline to week 6 for cervical loading and bilateral shoulder horizontal deviation angle （P＜ 0.05）. No significant adverse events occurred in either group during the intervention period. ConclusionThree-stage structured Tai Chi can effectively improve abnormal neck and shoulder posture， demonstrating good safety and feasibility.

Objective:To explore the correlation among SMAD4 gene polymorphisms, early life traumatic experience and their interactions with clinical feature of obsessive-compulsive disorder (OCD). Methods:Totally 484 OCD patients who met the DSM-Ⅳ diagnostic criteria and 368 health controls who met the enrollment criteria were recruited from September 2013 to September 2018. The Yale-Brown obsessive-compulsive scale (Y-BOCS) was used to assess the severity of obsessive-compulsive symptoms, the Beck depression inventory Ⅱ (BDI-Ⅱ) was used to assess the severity of depressive symptoms, the Beck anxiety inventory (BAI) was used to assess the severity of anxiety symptoms, and early trauma inventory-short form (ETI-SF) was used to assess early traumatic experience. SMAD4: rs12452684, rs2276163, rs17663887 and rs3819122 were genotyped using the Taqman genotyping technique. Data were analyzed using SPSS 20.0 software, and comparisons among groups were performed using chi-square test, t-test, Mann-Whitney U non-parametric test and analysis of covariance. Correlation was analyzed using Spearman correlation analysis, and interactions were analyzed using general linear model. Results:All sites except rs17663887 met the Hardy-Weinberg equilibrium (rs12452684: χ2=0.29, P=0.59; rs2276163: χ2=2.58, P=0.11; rs3819122: χ2=0.22, P=0.64).Allele, genotype frequencies of SMAD4: rs12452684, rs2276163 and rs3819122 were not statistically significant between the OCD and the health control groups ( χ2=0.02, 1.20, 0.04, all P>0.05; χ2=1.85, 3.98, 1.45, all P>0.05). The results of covariance analysis (corrected for age and gender) showed that there were significantly differences in compulsion (CC: 12.47±4.23, CT: 12.53±4.15, TT: 13.97±3.11; AA: 12.63±4.08, AC: 12.49±4.19, CC: 13.87±2.93) and total Y-BOCS scores(CC: 25.31±6.42, CT: 25.68±5.90, TT: 27.75±6.01; AA: 25.54±6.52, AC: 25.56±5.98, CC: 27.63±5.75) among the three genotypes of the SMAD4: rs2276163 and rs3819122 between the two groups ( F=3.58, 3.87, 3.48, 3.73, all P<0.05). Emotional abuse in the ETI-SF was positively correlated with obsession and total Y-BOCS scores( r=0.14, 0.14, both P<0.05). The interactions of rs2276163, rs3819122 and emotional abuse were associated with obsession scores ( F=4.65, 3.63, 2.93, all P<0.01). Conclusions:The more emotional abuse experienced in early life, the more severe obsessive-compulsive symptoms, and the interaction between the SMAD4 gene and early traumatic experience is involved in the development of OCD.

Objective:To construct a symptom network for type 2 diabetes mellitus (T2DM) patients, identify bridging symptoms and core symptoms, and explore influencing factors, providing references for precise and efficient symptom management.Methods:A convenience sampling method was used to select 340 T2DM patients hospitalized in the Endocrinology Department of Affiliated Hospital of North Sichuan Medical College from December 2023 to February 2024. A general information survey and the Chinese version of Diabetes Symptom Checklist-Revised were used to collect data. Multiple linear regression analysis was performed to explore the influencing factors of T2DM patients' lack of vitality. Network analysis was used to identify core symptoms and bridging symptoms among symptom clusters. A total of 340 questionnaires were distributed, and 336 valid questionnaires were returned, resulting in a valid response rate of 98.8% (336/340) .Results:The most common symptoms in T2DM patients included thirst and dry mouth, foamy urine, and overall fatigue. The most troublesome symptoms were overall fatigue, lack of vitality, and thirst and dry mouth. In the symptom network, lack of vitality had the highest intensity ( rs=7.980) and closeness centrality ( rc=0.014), followed by overall fatigue ( rs=7.940) and feeling down ( rs=7.200). Overall fatigue ( rbs=7.190, rbc=0.380) was identified as the strongest bridging symptom in the network. Univariate analysis showed that age, education level, diabetes duration, diabetes complications, and regular blood glucose monitoring were significant factors affecting lack of vitality in T2DM patients ( P<0.05). Multiple linear regression analysis indicated that education level, regular blood glucose monitoring, and diabetes complications were significant factors affecting lack of vitality ( P<0.05) . Conclusions:Lack of vitality is the core symptom in T2DM patients, and overall fatigue is the bridging symptom connecting different symptom clusters. The lack of vitality is influenced by factors such as education level, regular blood glucose monitoring, and diabetes complications. Healthcare providers should use symptom network analysis to timely identify core symptoms, bridging symptoms, and their influencing factors, and develop precise and efficient interventions to improve symptom management and reduce the symptom burden in T2DM patients.

Inflammatory bowel disease (IBD) is a chronic and recurrent intestinal inflammatory disease, which not only affects the digestive tract, but also involves extraintestinal organs and tissues such as joints and eyes, and ultimately endangers human health and affects the quality of life of patients. With the development of information technology, there is an increasing application of digital therapeutics in the management of IBD. This article aims to comprehensively analyze the characteristics, use, and challenges of digital therapeutics in the management of IBD, and explore its potential to improve treatment adherence, disease surveillance, and improve patients' quality of life.

Objective To investigate status of postoperative kinesiophobia in patients with ankle fracture and to identify the factors influencing kinesiophobia,thereby offering references for developing targeted nursing interventions.Methods A cross-sectional study was conducted between June 2023 and May 2024.With convenience sampling,338 first-time ankle fracture patients who received surgical treatment were recruited from a Tier-IIIA orthopaedic hospital in Xinjiang.Data was collected among the patients at 24 hours after surgery through the general information questionnaire,kinesiophobia scoring scale,pain visual analogue scale,hospital anxiety and depression scale,social support rating scale and general self-efficacy scale.Logistic regression was employed to identify factors influencing kinesiophobia.Results A total of 320 patients completed the study.The prevalence among the patients with kinesiophobia was 38.1%,and scored at(39.6±1.5).Logistic regression analysis identified that the pain,social support and self-efficacy were the independent risk factors of kinesiophobia(all P<0.05).Conclusion Patients with ankle fractures have a high prevalence of postoperative kinesiophobia.Pain,social support and self-efficacy are the key factors that influence kinesiophobia.Intervention strategies should be adopted in response to the influencing factors in order to promote the recovery of patients.

Objective:To develop and validate a combined model integrating radiomics, dosiomics, and clinical parameters based on CT simulation and dosimetric images in order to predict the occurrence of radiation pneumonitis (RP) in patients with non-small cell lung cancer (NSCLC).Methods:A retrospective study was conducted on the clinic data of 143 NSCLC patients who received radiotherapy at the Affiliated Hospital of Jining Medical University from January 2016 to December 2022. Patients were randomly stratified into a training group ( n = 100) and an internal validation group ( n = 43) at a 7∶3 ratio. Moreover, clinic data were collected from 34 NSCLC patients who received radiotherapy at the Jining Cancer Hospital between January 2019 and December 2022 as an external validation group. All three groups (the training group, internal validation, and external validation groups) were further categorized into two groups based on the RP severity (i.e., RP ≥ grade 2 and RP < grade 2). Their radiotherapy dose, CT simulation, and 3D dose distribution images were collected. Then, the total lung minus planning target volume (TL-PTV) was defined as the region of interest (ROI) for radiomics and dosiomic feature extraction, followed by feature dimensionality reduction. Consequently, key features associated with RP were determined. Four predictive models were developed using machine learning approaches (especially multilayer perceptron, MLP): a clinical model (CM), a radiomics model (RM), a dosiomics model (DM), and a radiomics and dosiomics nomogram (RDN), with a nomogram subsequently constructed. Ultimately, the performance and clinical feasibility of these models were assessed using receiver operating characteristic (ROC), area under the curve (AUC), and decision curve analysis (DCA). Results:A total of 1 834 radiomic features and 1 834 dosiomic features were extracted. Using the occurrence of RP ≥ grade 2 as the marker variable, 14 radiomic features, 15 dosiomic features, and three clinical features were selected from the training group to construct the prediction models (CM, RM, DM, and RDN). The performance and generalizability of these models were subsequently validated in both the internal validation and external validation groups. Specifically, the RDN exhibited AUCs of 0.915 (95% CI: 0.852-0.978), 0.879 (95% CI: 0.777-0.982), and 0.838 (95% CI: 0.701-0.975) in the three groups, respectively. A nomogram was established for RDN by integrating the radiomics score (R-score), dosiomics score (D-score), mean lung dose (MLD), V20, and V30. This nomogram allowed for individualized risk estimation of RP and facilitated personalized radiotherapy planning. Conclusions:The RDN model that is developed based on CT simulation and 3D dose distribution images and integrates radiomics, dosiomics, and clinical features can effectively predict the RP risk of NSCLC patients. The integration of multidimensional data contributes to the formation of the optimal predictive model, offering guidance for clinicians.

Objective:To investigate the association of skeletal muscle function(including muscle strength and physical performance) and insulin resistance as well as type 2 diabetes mellitus(T2DM).Methods:The retrospective study included 942 patients who visited the Department of Geriatrics at Renji Hospital, Shanghai Jiao Tong University School of Medicine, between October 2020 and July 2024. Low skeletal muscle function was defined as either reduced muscle strength or impaired physical performance. Muscle strength was assessed by grip strength, while physical performance was evaluated using the 5-time chair stand test. The associations between muscle function, insulin resistance, and T2DM were analyzed.Results:A significant association was observed between decreased skeletal muscle function and a higher prevalence of T2DM( P=0.001). Further analysis revealed that decreased physical performance was significantly associated with increased T2DM prevalence( P<0.001), whereas reduced muscle strength showed no significant association with T2DM prevalence( P=0.331). Linear regression analysis indicated that both the homeostasis model assessment of insulin resistance(HOMA2-IR) and fasting blood glucose levels increased significantly with longer chair stand times( P<0.05). Restrictive cubic spline(RCS) analysis demonstrated a nonlinear relationship between chair-rising time and HOMA2-IR. Notably, when the cumulative chair-rising time exceed 8.1 s, HOMA2-IR increased significantly with prolonged chair stand time. Logistic regression analysis showed that compared with patients with normal physical performance, those with decreased physical performance had significantly higher odds of T2DM( OR=2.64, P<0.001) and insulin resistance( OR=2.34, P=0.002). Conclusion:Decline in physical performance is significantly positively associated with insulin resistance and the risk of T2DM. Morever, when the cumulative chair stand time exceed 8.1 s, HOMA2-IR increases progressively with further prolongation of chair stand time.

Sarcopenia is characterized by a decline in both skeletal muscle mass and function. Since skeletal muscle is the primary organ responsible for insulin-stimulated glucose uptake, sarcopenia, which occurs with aging, is believed to promote insulin resistance in skeletal muscle, leading to disruptions in glucose metabolism. Growing clinical evidence indicates that decreased muscle function may contribute to the development of type 2 diabetes, while a reduction in muscle mass alone does not appear to be significantly associated with its onset. This review, based on the latest research, summarizes the clinical evidence linking sarcopenia to glucose metabolism abnormalities and potential mechanisms through which impaired muscle function affects glucose metabolism. The goal is to inspire early prevention, intervention, and management of type 2 diabetes by targeting skeletal muscle.