Dental pulp-dentin complex defects remain a major unresolved problem in oral medicines. Clinical therapeutic methods including root canal therapy and vital pulp therapy are both considered as conservative strategies, which are incapable of repairing the pulp-dentin complex defects. Although biomaterial-based strategies show remarkable progress in antibacterial, anti-inflammatory, and pulp regeneration, the important modulatory effects of nerves within pulp cavity have been greatly overlooked, making it challenging to achieve functional pulp-dentin complex regeneration. In this study, we propose an injectable bioceramics-containing composite hydrogel in combination of Li-Ca-Si (LCS) bioceramics and gelatin methacrylate matrix with photo-crosslinking properties. Due to the sustained release of bioactive Li, Ca and Si ions from LCS, the composite hydrogels possess multiple functions of promoting the neurogenic differentiation of Schwann cells, odontogenic differentiation of dental pulp stem cells, and neurogenesis-odontogenesis couples in vitro. In addition, the in vivo results showed that LCS-containing composite hydrogel can significantly promote the pulp-dentin complex repair. More importantly, LCS bioceramics-containing composite hydrogel can induce the growth of nerve fibers, leading to the re-innervation of pulp tissues. Taken together, the study suggests that LCS bioceramics can induce the innervation of pulp-dentin complex repair, offering a referable strategy of designing multifunctional filling materials for functional periodontal tissue regeneration.
Dental Pulp/drug effects* ; Hydrogels/pharmacology* ; Animals ; Ceramics/pharmacology* ; Dentin/drug effects* ; Biocompatible Materials/pharmacology* ; Rats ; Gelatin ; Regeneration/drug effects* ; Cell Differentiation/drug effects* ; Injections ; Humans ; Odontogenesis/drug effects*

Objective To investigate the effects of three types of twin-block(TB)appliances on the stress and displacement of anterior teeth,periodontal ligaments,and alveolar bone.Methods A three-dimensional(3D)finite element model was constructed,including maxillofacial bones,articular discs,teeth,and periodontal ligaments.Three types of twin-block appliances were designed:classic twin-block(classic-TB),twin-block with acrylic capping(capping-TB),and clear twin-block aligner(CTBA).All appliances had an inclination angle of 70°,and a masticatory force of 200 N was applied to their inclined planes.The finite element method was used to analyze the stress distribution and displacement differences of anterior teeth.Results All three types of TB appliances induced lingual tilting of maxillary anterior teeth and labial tilting of mandibular anterior teeth.The CTBA group showed the greatest lingual displacement and stress of maxillary anterior teeth,with a maximum stress of 30.6 MPa,while the mandibular anterior teeth in this group exhibited the smallest labial displacement(approximately 0.02 mm)and stress.Additionally,the CTBA group had the lowest compressive stress in mandibular anterior teeth,periodontal ligaments,and alveolar bone,whereas the classic-TB group had the highest.Conclusions In the treatment of Angle Class Ⅱ malocclusion,classic-TB(with or without acrylic capping)causes labial inclination of mandibular anterior teeth.Compared with classic-TB,CTBA effectively reduces the compressive stress and displacement of mandibular anterior teeth,potentially minimizing adverse periodontal risks.However,attention should be paid to the lingual displacement of maxillary anterior teeth.

Objective:To develop and validate machine learning-based radiomics models using preoperative CT images for individualized prediction of mitotic index (MI) in patients with gastrointestinal stromal tumors (GIST).Methods:The study was a case-control study. The data of 348 GIST patients confirmed by pathology were retrospectively collected from two independent medical centers: the Affiliated Hospital of Qingdao University (center 1) and Shandong Provincial Hospital Affiliated to Shandong First Medical University (center 2), covering the period from January 2013 to June 2018. Patients from center 1 were divided into a training cohort (176 cases) and an internal validation cohort (75 cases) at a ratio of 7∶3 using random sampling. Patients from center 2 served as an independent external validation cohort (97 cases). The primary endpoint was MI, categorized into high MI (145 cases) and low MI (203 cases) groups. Radiomic features were extracted from the portal venous phase images of preoperative contrast-enhanced CT scans. Five machine learning algorithms, including logistic regression, support vector machine, random forest, decision tree, and extreme gradient boosting (XGBoost),were employed to construct MI prediction models. The optimal model was identified using receiver operating characteristic curves. An individualized prediction model was developed by integrating the the optimal machine learning model combined with selected independent clinical factors, and the importance of features was visualized using Shapley Additive Explanation (SHAP) analysis. Patients were followed up, and Kaplan-Meier curves along with log-rank tests were used to evaluate recurrence-free survival (RFS) differences between the predicted high MI and low MI groups.Results:Among the five constructed machine learning models, the XGBoost model demonstrated the best predictive performance, with area under the curve (AUC) of 0.809 (95% CI 0.738-0.872), 0.693 (95% CI 0.571-0.809), and 0.718 (95% CI 0.605-0.822) in the training cohort, internal validation cohort, and external validation cohort, respectively. An individualized prediction model combining the XGBoost model with independent clinical factors (tumor location and tumor size) was developed. The model achieved AUC of 0.843 (95% CI 0.785-0.899), 0.791 (95% CI 0.680-0.894), and 0.777 (95% CI 0.678-0.861) in the training cohort, internal validation cohort, and external validation cohort, respectively. SHAP analysis indicated that radiomic features had the highest predictive impact. In both the training cohort and internal validation cohort, the RFS of patients predicted to be in the high MI group was lower than that of the low MI group, with statistically significant differences ( χ2=14.58, 9.52, both P<0.001). However, there was no statistically significant difference in RFS in the external validation set ( χ2=6.18, P=0.080). Conclusions:The optimal XGBoost model based on radiomic features extracted from preoperative portal venous phase CT images, when combined with clinical factors, can effectively predict the MI of GIST patients.

Objective:To investigate the clinical features of patients with congenital atresia of the oval window (CAOW).Methods:A retrospective analysis was conducted on 7 cases (8 ears) of surgically confirmed CAOW treated at our department from July 2018 to July 2024. Among the cases, 1 patient had bilateral CAOW, and 4 patients had unilateral CAOW combined with other types of ossicular chain malformations in the contralateral ear. We collected and analyzed the clinical data, audiological features, and temporal bone HRCT results of all patients.Results:The 7 patients were diagnosed at ages ranging from 8 to 19 years, with a mean age of (13.2±6.9) years. None of the patients exhibited significant auricular deformities. All presented with conductive hearing loss or mixed hearing loss predominantly of the conductive type, with an intact tympanic membrane. The diagnosis of CAOW was confirmed via endoscopic tympanotomy, revealing a concave oval window area on the medial wall of the tympanic cavity, sealed by a bony plate. All 8 ears exhibited additional ossicular chain deformities. Stapes absence was present in all 8 ears. Partial absence of the incus long process was observed in 3 ears, while, abnormal bony connections between the incus long process and the promontory were seen in 4 ears, 1 ear had a short malleolar handle, 1 ear had a smaller than normal malleus volume. In addition, facial nerve deformities were found in 6 ears, with 4 ears showing bifurcation of the facial nerve and 2 ears showing facial nerve obscuration of the oval window. Pure-tone audiometry revealed that 62.5% (5/8 ears) of patients had air conduction (AC) thresholds≥60 dB preoperatively, with a mean pure-tone average (PTA) of (69.0±11.8) dB HL and a mean air-bone gap (ABG) of (52.0±7.0) dB. The mean AC threshold and ABG were higher in the low-frequency (125-1 000 Hz) range compared to the high-frequency (2 000-8 000 Hz) range (both P<0.05). Preoperative HRCT showed abnormalities in all patients, with 7 ears being diagnosable as CAOW. Although the remaining 1 ear could not be diagnosed as CAOW, stapes and incus long process absence were detected. Conclusion:CAOW is rare in clinical, as the patients with non-progressive conductive hearing loss (AC≥60 dB, ABG≥50 dB) since childhood, intact tympanic membrane without malformations of auricle and external auditory canal, and thick bony plate covered the oval window of the HRCT imaging, CAOW should be highly suspected, which could be confirmed by the exploratory tympanotomy.

Objective To observe the therapeutic effects of Tongluo Baoshen Prescription on IgA nephropathy rats;To explore its mechanism.Methods Totally 130 SD rats were randomly divided into a normal group(20 rats)and a modeling group(110 rats).After establishing the IgA nephropathy model,the modeling group was further randomly divided into the model group,losartan potassium group and Tongluo Baoshen Prescription low-,medium-and high-dosage groups,with 20 rats in each group.Tongluo Baoshen Prescription low-,medium-and high-dosage groups were administered at dosages of 5.3,10.6 and 21.2 g/kg respectively,the losartan potassium group was given with the dosage of 5 mg/kg,the normal group and model group were given an equivalent amount of distilled water by gavage once daily.Blood,urine and kidney tissue samples were collected after 4 and 8 weeks of administration.The hemoglobin content was detected,urinary IL-1β,integrin α3β1 and serum albumin contents were detected by ELISA,and the mRNA and protein expressions of NF-κB p52,NF-κB p65,Rel B,c-Rel and Desmin in renal tissue were detected by RT-qPCR and Western blot,the apoptosis of renal tissue at 8 weeks of administration was detected by TUNEL staining,the expression of C3c in renal tissue was detected by immunofluorescence,the co-expression of Gprc5b,Caspase-1,NLRP3 and Nephrin were detected by immunofluorescence double labeling,the expression of Gprc5b and Nephrin in renal tissue were detected by immunohistochemistry.Results Compared with the normal group,the model group rats showed significantly increased contents of urinary IL-1β and integrin α3β1(P<0.01),with further increases in urinary integrin α3β1 over time(P<0.05);the mRNA and protein expressions of NF-κB p52,NF-κB p65,Rel B,c-Rel and Desmin in renal tissue significantly increased(P<0.01),and the proportion of apoptosis-positive cells in renal tissue significantly increased(P<0.01),immunofluorescence results revealed that C3c exhibited granular and clumpy high-intensity deposition in the mesangial area and capillary loops of the glomeruli(P<0.01),immunofluorescence double labeling showed that the expression of Gprc5b,Caspase-1 and NLRP3 in renal tissue increased(P<0.01),while Nephrin expression significantly decreased(P<0.01),immunohistochemistry analysis showed that the positive expression of Gprc5b in renal tissue significantly increased(P<0.01),while Nephrin significantly decreased(P<0.01).Compared with the model group,the urinary IL-1β and integrin α3β1 contents in the losartan potassium group and Tongluo Baoshen Prescription groups reduced after 4 and 8 weeks of treatment(P<0.05,P<0.01);the mRNA and protein expressions of NF-κB p52,NF-κB p65,Rel B,c-Rel and Desmin in renal tissue decreased(P<0.05,P<0.01),and the proportion of apoptosis-positive cells in renal tissue decreased(P<0.05),the C3c deposition in renal tissue was diminished(P<0.05,P<0.01),immunofluorescence double labeling showed that the expression of Gprc5b,Caspase-1 and NLRP3 in renal tissue were decreased(P<0.05,P<0.01),while Nephrin expression increased(P<0.05,P<0.01),immunohistochemistry analysis showed that the positive expression of Gprc5b in renal tissue decreased(P<0.05,P<0.01),while Nephrin expression increased(P<0.05,P<0.01).Conclusion Tongluo Baoshen Prescription has a protective effect on the kidney of IgA nephropathy rats,and it can improve podocyte injury.The mechanism may be related to the inhibition of the Gprc5b/NF-κB/NLRP3 pathway.

Objective:To explore the application value of radiomics, deep learning, and their combined models in predicting the efficacy of radioiodine adjuvant therapy in patients with papillary thyroid cancer (PTC).Methods:A retrospective analysis was conducted on the clinical and imaging data of 131 PTC patients (38 males, 93 females; age 41(33, 48) years) who received first 131I treatment at the Affiliated Hospital of Guilin Medical University from January 2018 to March 2023. Patients were randomly divided into a training set ( n=105) and a test set ( n=26) at the ratio of 8∶2. Multivariate logistic regression analysis was used to screen clinical features to determine independent predictors affecting the efficacy of 131I therapy. Radiomics and deep learning features were extracted from the enhanced CT scans and were combined by using the extremely randomized trees (ExtraTrees) algorithm to construct radiomics, deep learning, and combined models. The predictive abilities of the models were evaluated by AUC, and the Delong test was applied to compare the difference between AUCs. Results:Higher pre-ablation stimulated thyroglobulin (ps-Tg) levels (odds ratio( OR)=1.060, 95% CI: 1.025-1.095, P=0.004) and bilateral lesions ( OR=5.085, 95% CI: 1.452-17.814, P=0.033) were independent predictors of the efficacy of 131I therapy in intermediate to high-risk PTC patients. In the training set, the radiomics model (AUC=0.853) and combined model (AUC=0.880) significantly outperformed the deep learning model (AUC=0.711; Z values: 2.48, 3.09, P values: 0.013, 0.002), while there was no statistically significant difference between the radiomics and combined models ( Z=0.51, P=0.610). In the test set, AUCs of the radiomics, deep learning, and combined models were 0.746, 0.624, and 0.876, respectively, and the AUC of the combined model was higher than that of the radiomics model or deep learning model ( Z values: 2.05, 1.99, P values: 0.040, 0.047). Conclusion:The combined model demonstrates superior performance over the standalone radiomics model and deep learning model in predicting the efficacy of 131I treatment in PTC patients.

ObjectiveTo explore the clinical efficacy and safety of Da Chaihutang （DCH） for the treatment of sepsis with Yang syndrome. MethodsA total of 70 patients suffering from sepsis with Yang syndrome were randomly divided into an observation group and a control group， with 35 cases in each group. They both received standard Western medicine treatment. The observation group was additionally given a dose of DCH， which was boiled into 100 mL and taken twice. The control group was additionally given an equal volume and dosage of warm water. The intervention lasted for three days. The 28-day all-cause mortality and the changes in the following indicators before and after intervention were compared between the two groups， including sequential organ failure assessment （SOFA）， acute physiology and chronic health evaluation Ⅱ （APACHE Ⅱ） score，white blood cell （WBC），the percentage of neutrophils （NEU%），C-reactive protein （CRP），procalcitonin （PCT），alanine transaminase （ALT），aspartate transaminase （AST），total bilirubin （TBil），creatinine （Cr），blood urea nitrogen （BUN），acute gastrointestinal injury （AGI） grade，gastrointestinal dysfunction score （GDS），serum intestinal fatty acid-binding protein （iFABP）， citrulline （CR），platelet （PLT），prothrombin time（PT），activated partial thromboplastin time （APTT），fibrinogen （Fib），international normalized ratio （INR），and D-dimer （D-D）. ResultsThere was no significant difference between the two groups regarding 28-day all-cause mortality. After the intervention，SOFA，WBC，PCT，and Cr were significantly decreased， and PLT was significantly increased in the control group （P<0.05）. SOFA，APACHE Ⅱ，NEU%，CRP，PCT，ALT，AST，Cr，BUN，AGI grade，GDS，and serum iFABP and CR were significantly improved in the observation group （P<0.05）. After the intervention，APACHE Ⅱ，PCT，AGI grade，GDS，and serum iFABP in the observation group were significantly lower than those in the control group ，while CR and PLT were higher （P<0.05，P<0.01）. There were significant differences regarding the gap of SOFA，APACHE Ⅱ，AST，TBil，AGI grade，GDS，iFABP，CR， and PLT between the two groups （P<0.05，P<0.01）. There were slight differences regarding PT，APTT，Fib，INR，and D-D between the two groups，which were in the clinical normal range. ConclusionOn the basis of Western medicine， DCH helped to reduce sepsis severity and improved multiple organ dysfunction with high clinical efficacy and safety， but further research on its impact on the prognosis of patients with sepsis is still required.

Oxidative stress due to aberrant metabolism is considered as a crucial contributor to diabetes and its complications. Hyperglycemia and hyperlipemia boost excessive reactive oxygen species generation by elevated mitochondrial respiration, increased nicotinamide adenine dinucleotide phosphate oxidase activity, and enhanced pro-oxidative processes, including protein kinase C pathways, hexosamine, polyol, and advanced glycation endproducts, which exacerbate oxidative stress. Oxidative stress plays a significant role in the onset of diabetes and its associated complications by impairing insulin production, increasing insulin resistance, maintaining hyperglycemic memory, and inducing systemic inflammation. A more profound comprehension of the molecular processes that link oxidative stress to diabetes is crucial to new preventive and therapeutic strategies. Therefore, this review discusses the mechanisms underlying how oxidative stress contributes to diabetes mellitus and its complications. We also summarize the current approaches for prevention and treatment by targeting the oxidative stress pathways in diabetes.
Oxidative Stress/physiology* ; Humans ; Diabetes Mellitus/physiopathology* ; Diabetes Complications/metabolism* ; Reactive Oxygen Species/metabolism* ; Glycation End Products, Advanced/metabolism* ; Animals

The intestinal flora is a vast and complex microbial system，and its dysregulation may be associated with the occurrence and progression of various diseases.Nephrotic syndrome is a kidney disease characterized by massive proteinuria，hypoalbuminemia，edema，and hyperlipidemia.Some studies have found alterations in the intestinal flora of patients with nephrotic syndrome.Short-chain fatty acids produced by intestinal flora metabolism，particularly butyrate，may influence the occurrence and progression of nephrotic syndrome by regulating immune responses and inflammatory processes through their effects on the differentiation and function of regulatory T cells.These findings provide insights for exploring the pathophysiology of nephrotic syndrome and developing novel therapeutic strategies.

Objective:To evaluate the efficacy and safety of telitacicept in the treatment of systemic lupus erythematosus (SLE) .Methods:The clinical data of 25 SLE patients who received standard therapy combined with telitacicept at the Department of Dermatology, Xiangya Second Hospital, Central South University, from 2021 to 2024 were retrospectively collected. Baseline demographic and clinical characteristics were analyzed. Changes in skin lesions, joint pain symptoms, complete blood count, and biochemical parameters at 4, 12, and 24 weeks of treatment were compared with baseline (week 0). The Wilcoxon signed-rank test was used to compare complement C3 and C4 levels before and after treatment, and univariate logistic regression analysis was performed to explore factors influencing the efficacy of telitacicept.Results:Among the 25 SLE patients, 3 were male (12.0%) and 22 were female (88.0%). Based on the SLE Disease Activity Index (SLEDAI) -2000 scores, 8 patients were mild, 13 were moderate, and 4 were severe. Of the 11 SLE patients with rashes before treatment, 6 achieved complete remission at 12 weeks. Among the 7 patients with joint pain before treatment, 4 experienced symptom resolution at 24 weeks. The proportion of patients with leukopenia at baseline and at 4, 12, and 24 weeks was 10/25 (40.0%), 0/24 (0), 1/22 (4.5%), and 2/19 (10.5%), respectively. The proportion of patients with thrombocytopenia was 6/25 (24.0%), 3/24 (12.5%), 1/22 (4.5%), and 1/19 (5.3%), respectively, and the proportion of patients with anemia was 7/25 (28.0%), 3/24 (12.5%), 1/22 (4.5%), and 1/19 (5.3%), respectively. At baseline, 11 out of 25 patients (44.0%) had proteinuria. At 12 weeks, the urinary protein quantification level (0.4 [0, 0.6] g/L) was significantly lower than at baseline (0.9 [0.8, 1.2] g/L). The SLE responder index-4 (SRI4) response rates at 4, 12, and 24 weeks were 14/18, 15/17, and 12/14, respectively. Complement C3 and C4 levels were significantly higher at 4, 12, and 24 weeks compared to baseline (all P < 0.001). Univariate logistic regression analysis showed that age, disease duration, glucocorticoid dosage, baseline complement C4 levels, antinuclear antibody titer, and SLEDAI-2K score did not significantly affect the efficacy of telitacicept (SRI4 response rate at 12 weeks) (all P > 0.05). No serious adverse reactions related to telitacicept were observed in patients. Conclusions:Telitacicept improved skin lesions, complement C3 and C4 levels, and anti-double-stranded DNA antibody levels in SLE patients. No association was found between the efficacy of telitacicept and baseline SLEDAI-2K scores, antinuclear antibody titers, or complement C4 levels, suggesting that telitacicept is an effective and safe treatment for SLE patients.