Steroid-induced osteonecrosis of the femoral head (SONFH) is avascular necrosis of the femoral head caused by long-erm use of corticosteroids, and its pathogenesis is complex and affected by changes in the dynamic balance of the bone microenvironment. With the deepening of research, the role of bone microenvironment in the pathogenesis of SONFH has been gradually revealed. In the case of excessive use of glucocorticoids (GCs), the bone microenvironment changes significantly, causing imbalance in bone lipid metabolism, microcirculation disorders and disorders of immune regulation, which promotes the increase of the number and activity of osteoclasts, and interferes with the differentiation of osteoblasts and adipoblasts. Through the regulation of PI3K/AKT, OPG/RANKL/RANK, MAPK, JAK/STAT, Hedgehog and other signaling pathways, it eventually leads to osteocyte apoptosis, bone microvascular rupture and destruction of trabecular bone structure, which in turn leads to osteonecrosis, bone density reduction and bone microstructure destruction due to bone microcirculation ischemia, and finally leads to necrosis of the femoral head. This article reviews the role of bone microenvironment homeostasis in GCs-induced ONFH and the regulatory mechanism of bone microenvironment, which is helpful to reveal the pathogenesis of SONFH and provide a theoretical basis for exploring effective intervention strategies.
Humans ; Femur Head Necrosis/physiopathology* ; Animals ; Signal Transduction ; Bone and Bones/metabolism* ; Glucocorticoids/adverse effects* ; Cellular Microenvironment

Compounds isolated from Epimedium include the total flavonoids of Epimedium , icariin, and its metabolites (icaritin, icariside I, and icariside II), which have similar molecular structures. Modern pharmacological research and clinical practice have proved that Epimedium and its active components have a wide range of pharmacological effects, especially in improving sexual function, hormone regulation, anti-osteoporosis, immune function regulation, anti-oxidation, and anti-tumor activity. To date, we still need a comprehensive source of knowledge about the pharmacological effects of Epimedium and its bioactive compounds on the male reproductive system. However, their actions in other tissues have been reviewed in recent years. This review critically focuses on the Epimedium , its bioactive compounds, and the biochemical and molecular mechanisms that modulate vital pathways associated with the male reproductive system. Such intrinsic knowledge will significantly further studies on the Epimedium and its bioactive compounds that protect the male reproductive system and provide some guidances for clinical treatment of related male reproductive disorders.
Male ; Epimedium/chemistry* ; Humans ; Genitalia, Male/drug effects* ; Flavonoids/therapeutic use* ; Animals

We propose a strategy to reduce unnecessary prostate biopsies in Chinese patients with total prostate-specific antigen (tPSA) >10 ng ml -1 and Prostate Imaging Reporting and Data System (PI-RADS) scores between 1 and 3. Clinical data derived from 517 patients of The First Affiliated Hospital of USTC (Hefei, China) from January 2020 to December 2023 who met the screening criteria for the study were retrospectively collected. Independent predictors were identified via univariate and multivariate logistic regression analysis. The diagnostic capacity of clinical variables was evaluated using the receiver operating characteristic (ROC) curves and area under the curve (AUC). A prostate biopsy strategy was developed via risk stratification. Of the 517 patients, 17/348 (4.9%) with PI-RADS 1-2 were diagnosed with clinically significant prostate cancer (csPCa), and 27/169 (16.0%) patients with PI-RADS 3 were diagnosed with csPCa. The appropriate prostate-specific antigen density (PSAD) cut-off values were 0.45 ng ml -2 for PI-RADS 1-2 patients and 0.3 ng ml -2 for PI-RADS 3 patients. The appropriate prostate volume (PV) cut-off values were 40 ml for PI-RADS 1-2 patients and 50 ml for PI-RADS 3 patients. The prostate biopsy strategy based on PSAD and PV developed in this study can reduce unnecessary prostate biopsies in patients with tPSA >10 ng ml -1 and PI-RADS 1-3. In the study, 66.5% (344/517) patients did not need to undergo prostate biopsy, at the expense of missing only 1.7% (6/344) patients with csPCa.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Prostate-Specific Antigen/blood* ; Aged ; Middle Aged ; Retrospective Studies ; Prostate/diagnostic imaging* ; Unnecessary Procedures/statistics & numerical data* ; Biopsy/statistics & numerical data* ; China ; ROC Curve

OBJECTIVE: To investigate the clinical features and prognosis of central nervous system (CNS) invasion in peripheral T-cell lymphoma (PTCL) and construct a risk prediction model for CNS invasion. METHODS: Clinical data of 395 patients with PTCL diagnosed and treated in the First Affiliated Hospital of Zhengzhou University from 1st January 2013 to 31st December 2022 were analyzed retrospectively. RESULTS: The median follow-up time of 395 PTCL patients was 24(1-143) months. There were 13 patients diagnosed CNS invasion, and the incidence was 3.3%. The risk of CNS invasion varied according to pathological subtype. The incidence of CNS invasion in patients with anaplastic large cell lymphoma (ALCL) was significantly higher than in patients with angioimmunoblastic T-cell lymphoma (AITL) (P <0.05). The median overall survival was significantly shorter in patients with CNS invasion than in those without CNS involvement, with a median survival time of 2.4(0.6-127) months after diagnosis of CNS invasion. The results of univariate and multivariate analysis showed that more than 1 extranodal involvement (HR=4.486, 95%CI : 1.166-17.264, P =0.029), ALCL subtype (HR=9.022, 95%CI : 2.289-35.557, P =0.002) and ECOG PS >1 (HR=15.890, 95%CI : 4.409-57.262, P <0.001) were independent risk factors for CNS invasion in PTCL patients. Each of these risk factors was assigned a value of 1 point and a new prediction model was constructed. It could stratify the patients into three distinct groups: low-risk group (0-1 point), intermediate-risk group (2 points) and high-risk group (3 points). The 1-year cumulative incidence of CNS invasion in the high-risk group was as high as 50.0%. Further evaluation of the model showed good discrimination and accuracy, and the consistency index was 0.913 (95%CI : 0.843-0.984). CONCLUSION The new model shows a precise risk assessment for CNS invasion prediction, while its specificity and sensitivity need further data validation.
Humans ; Lymphoma, T-Cell, Peripheral/pathology* ; Prognosis ; Retrospective Studies ; Central Nervous System Neoplasms/pathology* ; Neoplasm Invasiveness ; Male ; Female ; Central Nervous System/pathology* ; Middle Aged ; Adult

OBJECTIVE: To assess the value of the Prostate Imaging Reporting and Data System version 2.1 (PI-RADS v2.1) score combined with PSA density (PSAD) in the diagnosis of clinically significant prostate cancer (CSPCa) in the PSA grey zone by MRI-TRUS cognitive fusion-guided transperineal targeted prostate biopsy. METHODS: This retrospective study included 327 male patients with total PSA (tPSA) levels of 4-10 μg/L undergoing MRI-TRUS cognitive fusion-guided transperineal targeted prostate biopsy in our hospital between January 2021 and December 2023. According to the pathological results, we divided the patients into a CSPCa (n = 44) and a non-CSPCa group (n = 283), collected their clinical and imaging data, and subjected them to statistical analysis. RESULTS: The age, tPSA level, PSAD and PI-RADS score were significantly higher, while the free PSA (fPSA) level, f/tPSA ratio and prostate volume remarkably lower in the CSPCa than in the non-CSPCa group (P<0.05). The areas under the curve (AUCs) of PSAD, PI-RADS score and their combination were 0.772, 0.730 and 0.801, with sensitivities of 63.63%, 70.45% and 72.73%, and specificities of 84.10%, 75.62% and 83.75%, respectively (P<0.01). With PSAD 0.2 μg/(ml·cm3) as the best cut-off value and based on the PI-RADS scores, the patients were divided into two groups for analysis. In the patients with PI-RADS scores 2 and 5, the AUCs were 0.534 and 0.643, with sensitivities of 16.67% and 63.64%, and specificities of 85.14% and 64.29%, with no statistically significant differences (P= 0.784, P= 0.228), and in those with PI-RADS scores 3 and 4, the AUCs were 0.794 and 0.843, with sensitivities of 57.14% and 80.00%, and specificities of 87.14% and 81.82%, with statistically significant differences (P= 0.009, P<0.001). CONCLUSION PI-RADS v2.1 score combined with PSAD can effectively improve the diagnostic efficiency of CSPCa in the PSA grey zone by MRI-TRUS cognitive fusion-guided transperineal targeted prostate biopsy and serve as a guide for selection of prostate biopsy.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Retrospective Studies ; Prostate-Specific Antigen ; Magnetic Resonance Imaging ; Image-Guided Biopsy ; Prostate/pathology* ; Aged ; Middle Aged

OBJECTIVES: The detection rate of scoliosis among school-aged children has been rising annually, varying by region, and has become a major public health concern affecting both physical and mental health. Its onset is multifactorial, and early screening combined with targeted interventions can alter disease progression. This study aims to investigate the prevalence and influencing factors of scoliosis among primary and secondary school students in Hunan Province, providing scientific evidence for targeted prevention strategies. METHODS: A stratified, randomized cluster sampling method was used to select 281 401 students from 14 prefecture-level cities in Hunan Province for scoliosis screening, physical examination, and questionnaire survey. The chi-square test was used for group comparisons, and trend chi-square test analyzed differences in screening positive rate by age. A multilevel regression model was applied to identify influencing factors, and ArcGIS was used to visualize spatial distribution patterns of scoliosis. RESULTS: The overall screening positive rate for scoliosis among Hunan students was 1.61%. Urban areas had a significantly higher rate than rural counties (2.81% vs 0.98%; P<0.01). The rate was equal between boys and girls (1.61% each). Underweight students had a higher rate than those with normal weight, overweight, or obesity (P<0.01). Stratified by age, urban students aged 6-18 years consistently showed higher positive rates than rural peers (P<0.001). No significant gender differences were observed at most ages (all P>0.05), except at age 11, where the females had a higher rate (1.28% vs 1.02%; P=0.048). After age 11, underweight students exhibited significantly higher positive rates than those with normal or higher BMI(all P<0.05). Across all groups, urban/rural, male/female, underweight/normal/overweight/obese, the scoliosis rate increased with age. By region, the screening positive rate ranged from 0.38% to 3.36%, with the top three being Chenzhou (3.36%), Xiangtan (2.78%), and Hengyang (2.71%), while the lowest was Xiangxi Tujia and Miao Autonomous Prefecture (0.38%). Multilevel regression analysis revealed that age (OR=1.160, 95% CI 1.135 to 1.186) and urban residence (OR=2.497, 95% CI 1.946 to 3.205) were positively associated with scoliosis risk (both P<0.01). Conversely, female gender (OR=0.931, 95% CI 0.874 to 0.993), normal nutritional status (OR=0.751, 95% CI 0.671 to 0.840), overweight (OR=0.513, 95% CI 0.447 to 0.590), obesity (OR=0.418, 95% CI 0.358 to 0.489), and engaging in ≥ 60 minutes of moderate-to-vigorous physical activity 2 to 4 days (OR=0.928, 95% CI 0.865 to 0.996) or 5 to 7 days per week (OR=0.912, 95% CI 0.833 to 0.998) were negatively associated with scoliosis risk (all P<0.05). CONCLUSIONS The prevalence of scoliosis among primary and secondary school students in Hunan Province is relatively high and is significantly associated with age, gender, urban-rural status, nutritional condition, and physical activity frequency. Targeted interventions and enhanced monitoring in high-risk regions and populations are essential to prevent and control scoliosis.
Humans ; Scoliosis/epidemiology* ; Male ; Female ; Adolescent ; China/epidemiology* ; Prevalence ; Child ; Students/statistics & numerical data* ; Rural Population/statistics & numerical data* ; Urban Population/statistics & numerical data* ; Surveys and Questionnaires ; Risk Factors ; Thinness/epidemiology*

Combined with elastic network model (ENM), the perturbation response scanning (PRS) has emerged as a robust technique for pinpointing allosteric interactions within proteins. Here, we proposed the PRS analysis of drug-target networks (DTNs), which could provide a promising avenue in network medicine. We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework, for drug repurposing of multiple sclerosis (MS). First, the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes. Then, based on topological analysis and functional annotation, the neurotransmission module was identified as the "therapeutic module" of MS. Further, perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis, giving a list of repurposable drugs for MS. Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of serotonin 2B receptor (HTR2B). Finally, we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex. These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS. As a useful systematic method, our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.

As palliative care practice gradually undertakes important missions in both the medical field and the society,it has become an emerging disciplinary area that meets the needs of the times.At the same time,the discipline construction of palliative medicine has become a crucial issue that urgently needs to be addressed in the cause of palliative care in China.In this article,we trace the origin of the concept of palliative care and classify,sort out,and expound the research objects,research contents,research methods,etc.of palliative medicine by combining the methods of literature analysis and focus group interviews.According to the development context and evolution process of palliative care,we put forward the proposition of building a discipline of palliative medicine,with the aim of helping the academic community distinguish the connotation and denotation of the disciplinary definition and laying a foundation for the work of discipline construction.
Palliative Medicine ; Palliative Care ; Humans

Objective To compare the efficacy and safety of different courses of caffeine citrate injection in the treatment of very low birth weight infants.Methods Very low birth weight infants were divided into long course group and routine course according to cohort method.2 groups of children were given intravenous infusion of caffeine citrate injection loading dose(20 mg·kg-1)within 3 days after birth,and the dose was maintained at 5 mg·kg-1 after 24 hours(qd).In the long course group,caffeine citrate injection was used to correct gestational age＞34 weeks,and in the routine course,caffeine citrate injection was used to correct gestational age 33-34 weeks.The use of caffeine citrate injection,clinical efficacy,neonatal behavioral neurological scale(NBNA)score and the occurrence of adverse drug reactions were compared between the two groups.Results 116 cases were included in this study,64 cases in the long course group and 52 cases in the routine course.After treatment,the total clinical effective rate of the long course group and the routine course was 92.19％and 94.23％,respectively,with no statistical significance(P＞0.05).The total duration of caffeine citrate injection were(60.53±8.92)and(48.17±5.24)days,respectively;the corrected gestational age at withdrawal were(36.02±1.56)and(33.18±1.27)weeks,respectively.The corrected gestational age were(34.31±0.48)and(32.06±0.51)weeks;the milk volume were(32.69±2.14)and(23.85±1.69)mL,respectively,with statistical significance(all P＜0.05).The starting age of caffeine citrate injection were(59.65±3.42)and(58.35±3.11)h in the long course group and the routine course,respectively,with no statistical significance(P＞0.05).Before treatment,the NBNA score of the long course and routine courses were 36.49±6.78 and 35.58±4.22,respectively;the NBNA score of long course and conventional course after treatment were 43.25±6.88 and 44.12±7.42,respectively.Compared with before treatment,NBNA score in both groups were higher after treatment,with statistical significance(all P＜0.05).There was no significant difference in NBNA score between the long course group and the routine course(P＞0.05).The incidence of bronchopulmonary dysplasia(84.38％vs 51.92％)and decreased hemoglobin concentration(17.75％vs 5.77％)in the long course group were significantly higher than those in the routine course(all P＜0.05).Conclusion Long-term use of caffeine citrate injection to correct gestational age＞34 weeks has no significant effect on clinical treatment,neurological function and intellectual development of very low birth weight infants.

Objective To develop a method for accurate identification of multiscale carotid plaques in ultrasound images.Methods We proposed a two-stage carotid plaque detection method based on deep convolutional neural network(SM-YOLO).A series of algorithms such as median filtering,histogram equalization,and Gamma transformation were used to preprocess the dataset to improve image quality.In the first stage of the model construction,a candidate plaque set was built based on the YOLOX_l target detection network,using multiscale image training and multiscale image prediction strategies to accommodate carotid artery plaques of different shapes and sizes.In the second stage,the Histogram of Oriented Gradient(HOG)features and Local Binary Pattern(LBP)features were extracted and fused,and a Support Vector Machine(SVM)classifier was used to screen the candidate plaque set to obtain the final detection results.This model was compared quantitatively and visually with several target detection models(YOLOX_l,SSD,EfficientDet,YOLOV5_l,Faster R-CNN).Results SM-YOLO achieved a recall of 89.44%,an accuracy of 90.96%,a F1-Score of 90.19%,and an AP of 92.70%on the test set,outperforming other models in all performance indicators and visual effects.The constructed model had a much shorter detection time than the Faster R-CNN model(only one third of that of the latter),thus meeting the requirements of real-time detection.Conclusion The proposed carotid artery plaque detection method has good performance for accurate identification of carotid plaques in ultrasound images.