Objective:To investigate the relationship between the expression of microribonucleic acid(miR)-19a-3p and miR-23b-3p in prostate cancer tissues and clinicopathological parameters and prognosis.Methods:135 prostate cancer patients who were admitted to our hospital from January 2019 to October 2021 were selected,all patients underwent radical prostatectomy or radical prostatectomy plus lymph node dissection,surgically resected cancer tissues and adjacent tissues were taken,and the expression of miR-19a-3p and miR-23b-3p were detected.The patients were followed up for 3 years after discharge,the survival curve was drawn by Kaplan-Meier,and the factors affecting the prognosis of prostate cancer patients were analyzed by COX regression.Results:The expression of miR-19a-3p and miR-23b-3p in cancer tissues of prostate cancer patients were lower than those in adjacent tissues(P＜0.05).the expression of miR-19a-3p and miR-23b-3p in prostate cancer tissues with tumor stage pT3-4,gleason grade Gleason 3-5 and lymph node metastasis was lower than that in prostate cancer tissues with tumor stage pT1-2,Gleason 1-2 and no lymph node metastasis(P＜0.05).3 cases were lost to follow-up,20 cases died and 112 cases survived.The 3 years overall survival(OS)rate in prostate cancer patients with low expression of miR-19a-3p and low expression of miR-23b-3p was lower than that in prostate cancer patients with high expression of miR-19a-3p and high expression of miR-23b-3p(P＜0.05).Lymph node metastasis was a risk factor for poor prognosis in prostate cancer patients(P＜0.05),and high expression of miR-19a-3p and miR-23b-3p were protective factors(P＜0.05).Conclusion:The expression of miR-19a-3p and miR-23b-3p in prostate cancer tissues is down-regulated,and is associated with high tumor stage and histological grade,lymph node metastasis and low survival rate.

Medication reconciliation plays a key role in improving patient medication safety,reducing inappropriate polypharmacy,and promoting the high-quality development of pharmaceutical services.Compared to advanced international guidelines,China's medication reconciliation service standards have deficiencies in areas such as definition and process design,and multidisciplinary team building.There is a need to establish a comprehensive medication reconciliation effect evaluation index system,develop pharmacist-led multidisciplinary teams,promote the advancement of artificial intelligence and big data technologies,and strengthen outpatient and community medication reconciliation coverage,thereby contributing to the high-quality development of pharmaceutical services in China.

Vertebral refracture following percutaneous vertebral augmentation (PVA) is commonly seen in elderly patients with osteoporotic thoracolumbar compression fractures (OTLCF). It can lead to recurrent pain, loss of vertebral height, progression of kyphosis, and even neurological dysfunction, significantly impairing patients′ quality of life. Current diagnosis and treatment face multiple challenges, including high misdiagnosis rate, difficulty in choosing between surgical and non-surgical treatment options, lack of standardized surgical protocols, interference from intralesional bone cement during procedures, inadequate stability of internal fixation in osteoporotic bone, and suboptimal compliance of anti-osteoporotic therapy. Establishing a standardized diagnostic and therapeutic framework is urgently needed. To standardize the management process and improve outcomes for vertebral refractures after PVA in elderly OTLCF patients, Spinal Trauma Group of the Orthopedic Branch of Chinese Medical Doctor Association organized experts in the field to develop Guideline for the diagnosis and treatment of vertebral refracture after percutaneous vertebral augmentation in elderly patients with osteoporotic thoracolumbar compression fractures ( version 2025), based on current literature and clinical experience, and adhering to principles of scientific rigor and clinical applicability. A total of 11 recommendations were proposed, encompassing diagnosis, treatment, and rehabilitation of vertebral refracture after PVA in elderly patients with OTLCF, aiming to provide a foundation for a standardized management.

OBJECTIVE: To explore the co-morbid influencing factors of postmenopausal osteoporosis(PMOP) and dyslipidemia, and to provide evidence-based basis for clinical co-morbidity management. METHODS: Based on the 2017 to 2018 Beijing community cross-sectional survey data, PMOP patients were included and divided into the dyslipidemia group and the uncomplicated dyslipidemia group according to whether they were comorbid with dyslipidemia. Demographic characteristics, living habits and disease history were collected through questionnaires, and bone mineral density and bone metabolism biomarkers (osteocalcin, blood calcium, serum typeⅠprocollagen N-terminal prepeptide, etc.) were detected on site. Co-morbidity risk factors were analyzed using binary logistic regression. RESULTS: Three hundred and twenty patients with PMOP were included, including the comorbid group (75 patients) and the uncomplicated group (245 patients). The results showed that history of cardiovascular disease [OR=1.801, 95%CI(1.003, 3.236), P=0.049], history of cerebrovascular disease [OR=2.923, 95%CI(1.460, 5.854), P=0.002], frying and cooking methods[OR=5.388, 95%CI(1.632, 17.793), P=0.006], OST results[OR=0.910, 95%CI(0.843, 0.983), P=0.016], and blood Ca results [OR=60.249, 95%CI(1.862, 1 949.926), P=0.021] were the influencing factors of PMOP complicated with dyslipidemia. CONCLUSION Focus should be placed on the influencing factors of PMOP and dyslipidemia co-morbidities, with emphasis on multidimensional assessment, combining lifestyle interventions with bone metabolism marker monitoring to optimize co-morbidity management.
Humans ; Dyslipidemias/epidemiology* ; Female ; Middle Aged ; Osteoporosis, Postmenopausal/metabolism* ; Aged ; Cross-Sectional Studies ; Risk Factors ; Bone Density

With the rapid rise of large language models(LLM),the natural language generation capabilities of deep learning have demonstrated significant value in the medical field.However,the"closed nature"of model parameters makes them prone to generating"hallucinations",making it difficult to provide accurate answers to the latest knowledge,and the reasoning process lacks transparency and traceability.Retrieval-augmented generation(RAG)technology addresses these issues by actively connecting external information sources such as document databases and knowledge graphs during the generation process.This significantly reduces the dependence of LLM on outdated training data and introduces verifiable evidence and real-time knowledge updates into their responses.In the medical field,RAG technology effectively addresses the high-accuracy and traceability requirements of literature retrieval and clinical decision support.It is widely applied in areas such as drug discovery,pharmacovigilance,and the diagnosis and treatment of rare diseases.By integrating emerging technologies such as reinforcement learning,multimodal processing,and compliant privacy protection,RAG technology is evolving towards a more open and highly customizable direction,providing innovative intelligent solutions for medical information retrieval and decision-making support.

Objective:To investigate the relationship between the expression of microribonucleic acid(miR)-19a-3p and miR-23b-3p in prostate cancer tissues and clinicopathological parameters and prognosis.Methods:135 prostate cancer patients who were admitted to our hospital from January 2019 to October 2021 were selected,all patients underwent radical prostatectomy or radical prostatectomy plus lymph node dissection,surgically resected cancer tissues and adjacent tissues were taken,and the expression of miR-19a-3p and miR-23b-3p were detected.The patients were followed up for 3 years after discharge,the survival curve was drawn by Kaplan-Meier,and the factors affecting the prognosis of prostate cancer patients were analyzed by COX regression.Results:The expression of miR-19a-3p and miR-23b-3p in cancer tissues of prostate cancer patients were lower than those in adjacent tissues(P＜0.05).the expression of miR-19a-3p and miR-23b-3p in prostate cancer tissues with tumor stage pT3-4,gleason grade Gleason 3-5 and lymph node metastasis was lower than that in prostate cancer tissues with tumor stage pT1-2,Gleason 1-2 and no lymph node metastasis(P＜0.05).3 cases were lost to follow-up,20 cases died and 112 cases survived.The 3 years overall survival(OS)rate in prostate cancer patients with low expression of miR-19a-3p and low expression of miR-23b-3p was lower than that in prostate cancer patients with high expression of miR-19a-3p and high expression of miR-23b-3p(P＜0.05).Lymph node metastasis was a risk factor for poor prognosis in prostate cancer patients(P＜0.05),and high expression of miR-19a-3p and miR-23b-3p were protective factors(P＜0.05).Conclusion:The expression of miR-19a-3p and miR-23b-3p in prostate cancer tissues is down-regulated,and is associated with high tumor stage and histological grade,lymph node metastasis and low survival rate.

With the rapid rise of large language models(LLM),the natural language generation capabilities of deep learning have demonstrated significant value in the medical field.However,the"closed nature"of model parameters makes them prone to generating"hallucinations",making it difficult to provide accurate answers to the latest knowledge,and the reasoning process lacks transparency and traceability.Retrieval-augmented generation(RAG)technology addresses these issues by actively connecting external information sources such as document databases and knowledge graphs during the generation process.This significantly reduces the dependence of LLM on outdated training data and introduces verifiable evidence and real-time knowledge updates into their responses.In the medical field,RAG technology effectively addresses the high-accuracy and traceability requirements of literature retrieval and clinical decision support.It is widely applied in areas such as drug discovery,pharmacovigilance,and the diagnosis and treatment of rare diseases.By integrating emerging technologies such as reinforcement learning,multimodal processing,and compliant privacy protection,RAG technology is evolving towards a more open and highly customizable direction,providing innovative intelligent solutions for medical information retrieval and decision-making support.

Medication reconciliation plays a key role in improving patient medication safety,reducing inappropriate polypharmacy,and promoting the high-quality development of pharmaceutical services.Compared to advanced international guidelines,China's medication reconciliation service standards have deficiencies in areas such as definition and process design,and multidisciplinary team building.There is a need to establish a comprehensive medication reconciliation effect evaluation index system,develop pharmacist-led multidisciplinary teams,promote the advancement of artificial intelligence and big data technologies,and strengthen outpatient and community medication reconciliation coverage,thereby contributing to the high-quality development of pharmaceutical services in China.

Vertebral refracture following percutaneous vertebral augmentation (PVA) is commonly seen in elderly patients with osteoporotic thoracolumbar compression fractures (OTLCF). It can lead to recurrent pain, loss of vertebral height, progression of kyphosis, and even neurological dysfunction, significantly impairing patients′ quality of life. Current diagnosis and treatment face multiple challenges, including high misdiagnosis rate, difficulty in choosing between surgical and non-surgical treatment options, lack of standardized surgical protocols, interference from intralesional bone cement during procedures, inadequate stability of internal fixation in osteoporotic bone, and suboptimal compliance of anti-osteoporotic therapy. Establishing a standardized diagnostic and therapeutic framework is urgently needed. To standardize the management process and improve outcomes for vertebral refractures after PVA in elderly OTLCF patients, Spinal Trauma Group of the Orthopedic Branch of Chinese Medical Doctor Association organized experts in the field to develop Guideline for the diagnosis and treatment of vertebral refracture after percutaneous vertebral augmentation in elderly patients with osteoporotic thoracolumbar compression fractures ( version 2025), based on current literature and clinical experience, and adhering to principles of scientific rigor and clinical applicability. A total of 11 recommendations were proposed, encompassing diagnosis, treatment, and rehabilitation of vertebral refracture after PVA in elderly patients with OTLCF, aiming to provide a foundation for a standardized management.

Objective To study the microscopic structure and morphological characteristics of Zebrafish eyeball and retina at different developmental stages, and to lay a foundation for visual research model. Methods Select eight groups of zebrafish at different ages, with six fish in each group, 48 fish in total. Optical microscopy and transmission electron microscopy were used to observe the eyeball structure of Zebrafish at different developmental stages, and the thickness of retinal each layer was measured to analyze the temporal and spatial development pattern. The morphological characteristics of various cells in the retina and the way of nerve connection were observed from the microscopic and ultrastructural aspects, especially the structural differences between rod cells and cone cells. Results The retina of Zebrafish can be divided into ten layers including retinal pigment epithelial layer, rod cells and cone cells layer, outer limiting membrane, outer nuclear layer, outer plexiform layer, inner nuclear layer, inner plexiform layer, ganglion cell layer, nerve fiber layer, inner limiting membrane. Rod cells had a smaller nucleus and a higher electron density than cone cells. Photoreceptor terminals were neatly arranged in the outer plexiform layer, forming neural connections with horizontal cells and bipolar cells, and several synaptic ribbons are clearly visible within them. In Zebrafish retina, ganglion cell layer and inner plexiform layer are the earliest developed. With the growth and development of Zebrafish, the thickness of rod cells and cone cells layer and retinal pigment epithelial layer gradually increases, and the retinal structure was basically developed in about 10 weeks. Conclusion The retinal structure of Zebrafish is typical, with obvious stratification and highly differentiated nerve cells. There are abundant neural connections in the outer plexiform layer. The ocular development characteristics of Zebrafish are similar to those of most mammals.