Periodontitis is a common oral disease caused by bacteria coupled with an excessive host immune response. Stem cell therapy can be a promising treatment strategy for periodontitis, but the relevant mechanism is complicated. This study aimed to explore the therapeutic potential of mitochondria from human embryonic stem cell-derived mesenchymal stem cells (hESC-MSCs) for the treatment of periodontitis. The gingival tissues of periodontitis patients are characterized by abnormal mitochondrial structure. Human gingival fibroblasts (HGFs) were exposed to 5 μg/mL lipopolysaccharide (LPS) for 24 h to establish a cell injury model. When treated with hESC-MSCs or mitochondria derived from hESC-MSCs, HGFs showed reduced expression of inflammatory genes, increased adenosine triphosphate (ATP) level, decreased reactive oxygen species (ROS) production, and enhanced mitochondrial function compared to the control. The average efficiency of isolated mitochondrial transfer by hESC-MSCs was determined to be 8.93%. Besides, a therapy of local mitochondrial injection in mice with LPS-induced periodontitis showed a reduction in inflammatory gene expression, as well as an increase in both the mitochondrial number and the aspect ratio in gingival tissues. In conclusion, our results indicate that mitochondria derived from hESC-MSCs can reduce the inflammatory response and improve mitochondrial function in HGFs, suggesting that the transfer of mitochondria between hESC-MSCs and HGFs serves as a potential mechanism underlying the therapeutic effect of stem cells.
Humans ; Gingiva/cytology* ; Fibroblasts/metabolism* ; Mitochondria/physiology* ; Mesenchymal Stem Cells/cytology* ; Animals ; Periodontitis/therapy* ; Mice ; Reactive Oxygen Species/metabolism* ; Inflammation ; Lipopolysaccharides ; Human Embryonic Stem Cells/cytology* ; Cells, Cultured ; Adenosine Triphosphate/metabolism* ; Male

Benign prostatic hyperplasia(BPH)is the main reason of causing lower urinary tract symptoms(LUTS)in middle-aged and elderly men,and LUTS can disrupt patients'sleep patterns and interfere with their daily life.With the development of aging,BPH has produced a significant impact on public health,and caused serious social problems and economic burdens.There are various technical approaches for medical devices used in treating BPH,including laser,electrosurgery,focused ultrasound,microwave,stent,and liquid jet removal system,etc.This article summarized the pathogenesis,clinical manifestations,and general overview for guidelines of diagnosis and treatment for BPH.It also reviewed the guiding principle of Food and Drug Administration(FDA)for medical devices used in treating BPH,and focused on analyzing the main contents of non-clinical study,animal study(including animal model,test method,observation time points and evaluation indicators)and clinical study(including selection for control groups,inclusion and exclusion criteria,study endpoint and study duration),so as to provide some enlightenments for the verification,validation and technical evaluation for such products.

Benign prostatic hyperplasia(BPH)is the main reason of causing lower urinary tract symptoms(LUTS)in middle-aged and elderly men,and LUTS can disrupt patients'sleep patterns and interfere with their daily life.With the development of aging,BPH has produced a significant impact on public health,and caused serious social problems and economic burdens.There are various technical approaches for medical devices used in treating BPH,including laser,electrosurgery,focused ultrasound,microwave,stent,and liquid jet removal system,etc.This article summarized the pathogenesis,clinical manifestations,and general overview for guidelines of diagnosis and treatment for BPH.It also reviewed the guiding principle of Food and Drug Administration(FDA)for medical devices used in treating BPH,and focused on analyzing the main contents of non-clinical study,animal study(including animal model,test method,observation time points and evaluation indicators)and clinical study(including selection for control groups,inclusion and exclusion criteria,study endpoint and study duration),so as to provide some enlightenments for the verification,validation and technical evaluation for such products.

Objective To establish and test a 3-year prognosis model for elderly intertrochanteric fractures after intramedullary nail fixation.Methods A total of 205 elderly patients with intertrochoteric fracture of femur who underwent intramedullary nail fixation in our hospital from April 2019 to April 2021 were selected for observation study,followed up for 3 years after surgery,according to the Harris score,they were divided into the good group and the poor group.Univariate analysis was conducted to investigate the influencing factors of disease prognosis in the two groups 3 years after surgery.After the variables were screened by LASSO regression and cross-validation method,the independent influencing factors of the 3-year postoperative prognosis were analyzed by multi-factor Logistic regression,and the prediction model of the nomogram was built,and the model was evaluated and validated.Results Among 205 elderly patients with intertrochanteric fractures of the femur who underwent intramedullary nailing fixation,201 were followed up for 3 years.Among them,148 patients had a Harris score of ≥70 points,while 53 patients had a score of＜70 points.Univariate analysis results showed that the poor group had a higher proportion of patients with age,stroke,osteoporosis,Evans-Jensen type Ⅲ and Ⅳ fractures,poor intraoperative reduction,and a tip-apex distance of ≥ 30 mm compared to the good group,and had a lower lateral wall thickness than the good group,the difference was statistically significant(P＜0.05).LASSO regression analysis and cross-validation were used to screen variables.Multivariate Logistic regression analysis showed that stroke(OR=2.127,95％CI:1.478-3.061)and fracture Evans-Jensen classification Ⅲ(OR=1.149,95％CI:1.105-1.195)and type Ⅳ(OR=1.187,95％CI:1.143-1.233),intraoperative reduction was not good(OR=3.290,95％CI:2.319-4.668),apex distance ≥ 30 mm(OR=1.413,95％CI:1.066-1.874)was an independent associated risk factor for disease outcome 3 years after surgery,the external wall thickness(OR=0.600,95％CI:0.428-0.841)was an independent correlated risk factor for 3-year prognosis(P＜0.05).Based on the results of multiple factors,a nomogram prediction model was drawn,and the results showed that the model had certain predictive value for the disease outcome three years after surgery.The evaluation and verification results showed that when the threshold probability was 0-96％,the model had good clinical applicability and positive clinical net benefit.Conclusion Stroke,fracture Evans-Jensen classification Ⅲ and Ⅳ,poor intraoperative reduction,apical distance ≥30 mm,and lateral wall thickness are independent and relevant factors for 3-year prognosis of senile intertrochanteric fractures after intramedullary nail fixation.The establishment of a nematographic model has good predictive value for postoperative long-term prognosis and positive clinical net benefit.It can be used as an effective model to predict the long-term prognosis of postoperative disease.

Objective To establish and test a 3-year prognosis model for elderly intertrochanteric fractures after intramedullary nail fixation.Methods A total of 205 elderly patients with intertrochoteric fracture of femur who underwent intramedullary nail fixation in our hospital from April 2019 to April 2021 were selected for observation study,followed up for 3 years after surgery,according to the Harris score,they were divided into the good group and the poor group.Univariate analysis was conducted to investigate the influencing factors of disease prognosis in the two groups 3 years after surgery.After the variables were screened by LASSO regression and cross-validation method,the independent influencing factors of the 3-year postoperative prognosis were analyzed by multi-factor Logistic regression,and the prediction model of the nomogram was built,and the model was evaluated and validated.Results Among 205 elderly patients with intertrochanteric fractures of the femur who underwent intramedullary nailing fixation,201 were followed up for 3 years.Among them,148 patients had a Harris score of ≥70 points,while 53 patients had a score of＜70 points.Univariate analysis results showed that the poor group had a higher proportion of patients with age,stroke,osteoporosis,Evans-Jensen type Ⅲ and Ⅳ fractures,poor intraoperative reduction,and a tip-apex distance of ≥ 30 mm compared to the good group,and had a lower lateral wall thickness than the good group,the difference was statistically significant(P＜0.05).LASSO regression analysis and cross-validation were used to screen variables.Multivariate Logistic regression analysis showed that stroke(OR=2.127,95％CI:1.478-3.061)and fracture Evans-Jensen classification Ⅲ(OR=1.149,95％CI:1.105-1.195)and type Ⅳ(OR=1.187,95％CI:1.143-1.233),intraoperative reduction was not good(OR=3.290,95％CI:2.319-4.668),apex distance ≥ 30 mm(OR=1.413,95％CI:1.066-1.874)was an independent associated risk factor for disease outcome 3 years after surgery,the external wall thickness(OR=0.600,95％CI:0.428-0.841)was an independent correlated risk factor for 3-year prognosis(P＜0.05).Based on the results of multiple factors,a nomogram prediction model was drawn,and the results showed that the model had certain predictive value for the disease outcome three years after surgery.The evaluation and verification results showed that when the threshold probability was 0-96％,the model had good clinical applicability and positive clinical net benefit.Conclusion Stroke,fracture Evans-Jensen classification Ⅲ and Ⅳ,poor intraoperative reduction,apical distance ≥30 mm,and lateral wall thickness are independent and relevant factors for 3-year prognosis of senile intertrochanteric fractures after intramedullary nail fixation.The establishment of a nematographic model has good predictive value for postoperative long-term prognosis and positive clinical net benefit.It can be used as an effective model to predict the long-term prognosis of postoperative disease.

Objective:To explore the effects of a structured exercise intervention on the healthy physical fitness in patients with leukemia receiving umbilical cord blood transplantation.Methods:It was a randomized controlled trial, conducted from August 2022 to October 2023 at the Department of Hematology of the First Affiliated Hospital of the University of Science and Technology of China (Anhui Provincial Hospital). Fifty leukemia patients undergoing umbilical cord blood transplantation were recruited and were randomly assigned to either the control group (24 cases) or the intervention group (26 cases) using a random number table method. The control group received routine nursing care, health education, and exercise guidance during hospitalization. The intervention group were given moderate-intensity structured exercise intervention, including aerobic, resistance exercises, and flexibility training, three times per week for 30 to 40 minutes per session, over a period of 6 to 8 weeks. During the study, 2 patients withdrew due to disease reasons, and finally, 22 patients in the control group and 26 patients in the intervention group were obtained. The paired t-test, Wilcoxon test, and covariance analysis were used to compare the indices of healthy physical fitness before and after the intervention between the two groups, aiming to explore the effects of a structured exercise intervention on the healthy physical fitness of leukemia patients undergoing umbilical cord blood transplantation. Results:Before the intervention, there was no significant differences in baseline characteristics, such as age, gender and disease status between the two groups (all P>0.05). During the hospitalization phase, the rate of exercise participation in the intervention group was 73.4%, the frequency of exercise was (2.20±0.41) sessions per week and the duration of each exercise session was (34.34±5.05) minutes, and the Borg′s rating of perceived exertion was (13.04±0.82) points. After intervention, the indicators including cardiovascular endurance, muscle fitness, and functional activity status in the two groups were all decreased, and the reduction degree of the indicators were all significantly lower in the intervention group when compared with those in the control group [6-minute walk distance (48.81±30.39) m vs (143.05±77.26) m, grip strength of left hand (2.57±1.30) kg vs (6.72±4.88) kg, grip strength of right hand (2.47±1.97) kg vs (6.34±5.70) kg, muscle strength of left upper limb (4.12±2.07) times vs (8.18±5.26) times, muscle strength of right upper limb (3.96±2.29) times vs (7.91±5.16) times, 30 second chair standing test (3.65±1.98) times vs (7.86±4.34) times, and timed-up-and-go test (0.65±0.53) s vs (2.35±1.79) s] (all P<0.05). The flexibility fitness was improved in the intervention group after the intervention [sit-and-reach 2.00(-4.75, 8.18) cm vs 0(-9.75, 6.43) cm] ( P=0.011), but no significant differences was found in the control group ( P>0.05). Conclusions:The structured exercise intervention has advantages in reducing the decline of healthy physical fitness in patients with leukemia receiving umbilical cord blood transplantation, and exerts a protective effect on healthy physical fitness.

Necroptosis is a regulated process of programmed cell death independent of aspartic acid-specific cysteine protease,which can induce inflammation.Studies have shown that necroptosis is closely related to the progression and prognosis of pancreatic disease and plays an important two-way regulatory role in its progression.Related necroptosis inhibitors and inducers are expected to be used in the treatment of pancreatic disease.We herein review the mechanism of necroptosis and its role in the progression of pancreatic disease to provide a new understanding of the pathogenesis and treatment of pancreatic diseases and offer a theoretical basis for the research and development of targeted drugs.

Prostate cancer is a prevalent malignant tumor in the male genitourinary system,characterized by a high propensity for bone metastasis.It is a leading cause of mortality,with approximately 70％of deaths attributed to this form of metastasis.Mouse models provide a crucial tool in the investigation of prostate cancer bone metastasis,and play a pivotal role in elucidating the underlying pathophysiological mechanisms and in the development and assessment of therapeutic agents.In this review,we summarize research progress in the construction method and evaluation strategies used in establishing prostate cancer bone metastasis mouse models.Notably,this review focuses on the exploration of the mechanisms responsible for prostate cancer bone metastasis,using mouse models,with the aim of offering insights and serving as a valuable reference for prostate cancer bone metastasis.

Objective:Glioblastoma(GBM)and brain metastases(BMs)are the two most common malignant brain tumors in adults.Magnetic resonance imaging(MRI)is a commonly used method for screening and evaluating the prognosis of brain tumors,but the specificity and sensitivity of conventional MRI sequences in differential diagnosis of GBM and BMs are limited.In recent years,deep neural network has shown great potential in the realization of diagnostic classification and the establishment of clinical decision support system.This study aims to apply the radiomics features extracted by deep learning techniques to explore the feasibility of accurate preoperative classification for newly diagnosed GBM and solitary brain metastases(SBMs),and to further explore the impact of multimodality data fusion on classification tasks. Methods:Standard protocol cranial MRI sequence data from 135 newly diagnosed GBM patients and 73 patients with SBMs confirmed by histopathologic or clinical diagnosis were retrospectively analyzed.First,structural T1-weight,T1C-weight,and T2-weight were selected as 3 inputs to the entire model,regions of interest(ROIs)were manually delineated on the registered three modal MR images,and multimodality radiomics features were obtained,dimensions were reduced using a random forest(RF)-based feature selection method,and the importance of each feature was further analyzed.Secondly,we used the method of contrast disentangled to find the shared features and complementary features between different modal features.Finally,the response of each sample to GBM and SBMs was predicted by fusing 2 features from different modalities. Results:The radiomics features using machine learning and the multi-modal fusion method had a good discriminatory ability for GBM and SBMs.Furthermore,compared with single-modal data,the multimodal fusion models using machine learning algorithms such as support vector machine(SVM),Logistic regression,RF,adaptive boosting(AdaBoost),and gradient boosting decision tree(GBDT)achieved significant improvements,with area under the curve(AUC)values of 0.974,0.978,0.943,0.938,and 0.947,respectively;our comparative disentangled multi-modal MR fusion method performs well,and the results of AUC,accuracy(ACC),sensitivity(SEN)and specificity(SPE)in the test set were 0.985,0.984,0.900,and 0.990,respectively.Compared with other multi-modal fusion methods,AUC,ACC,and SEN in this study all achieved the best performance.In the ablation experiment to verify the effects of each module component in this study,AUC,ACC,and SEN increased by 1.6%,10.9%and 15.0%,respectively after 3 loss functions were used simultaneously. Conclusion:A deep learning-based contrast disentangled multi-modal MR radiomics feature fusion technique helps to improve GBM and SBMs classification accuracy.