ObjectiveAge-related macular degeneration （AMD） is one of the leading causes of low vision and blindness in people over 50 years old， and dry AMD （dAMD） is one type for which there is currently no clear treatment. On the basis of the diagnosis and clinical characteristics of dAMD in traditional Chinese and Western medicine， this paper evaluated the fitting degrees of existing animal models of dAMD with clinical characteristics according to the evaluation methods of animal models， and put forward suggestions and prospects. MethodsLiterature on animal models of dAMD was searched against database， and the characteristics of the models were assigned according to the diagnosis criteria of diseases and syndromes of traditional Chinese and Western medicine， and the fitting degrees of the models with clinical characteristics were analyzed and evaluated. ResultsAt present， the animal models of dAMD are mainly established targeting complement factors， chemokines， oxidative damage， lipid/glucose metabolism， and natural strains. Most of the models can simulate the major pathological changes of dAMD， showing the fitting degree of 25%-50% with clinical characteristics in Western medicine. However， the evaluation of traditional Chinese medicine （TCM） syndromes， especially the evaluation of secondary syndromes， is missing， and the models present low fitting degrees with the clinical characteristics in TCM. ConclusionExisting animal models of dAMD are mostly established under the guidance of Western diagnostic standards， which reproduce the main disease characteristics of Western medicine and lack observation of TCM syndromes. Future studies can pay attention to the intervention factors and evaluation systems of spleen deficiency Qi deficiency and liver-kidney Yin deficiency syndrome and build the animal model of dAMD with integration of disease and syndrome based on clinical characteristics of traditional Chinese and Western medicine.

ObjectiveAge-related macular degeneration （AMD） is one of the leading causes of low vision and blindness in people over 50 years old， and dry AMD （dAMD） is one type for which there is currently no clear treatment. On the basis of the diagnosis and clinical characteristics of dAMD in traditional Chinese and Western medicine， this paper evaluated the fitting degrees of existing animal models of dAMD with clinical characteristics according to the evaluation methods of animal models， and put forward suggestions and prospects. MethodsLiterature on animal models of dAMD was searched against database， and the characteristics of the models were assigned according to the diagnosis criteria of diseases and syndromes of traditional Chinese and Western medicine， and the fitting degrees of the models with clinical characteristics were analyzed and evaluated. ResultsAt present， the animal models of dAMD are mainly established targeting complement factors， chemokines， oxidative damage， lipid/glucose metabolism， and natural strains. Most of the models can simulate the major pathological changes of dAMD， showing the fitting degree of 25%-50% with clinical characteristics in Western medicine. However， the evaluation of traditional Chinese medicine （TCM） syndromes， especially the evaluation of secondary syndromes， is missing， and the models present low fitting degrees with the clinical characteristics in TCM. ConclusionExisting animal models of dAMD are mostly established under the guidance of Western diagnostic standards， which reproduce the main disease characteristics of Western medicine and lack observation of TCM syndromes. Future studies can pay attention to the intervention factors and evaluation systems of spleen deficiency Qi deficiency and liver-kidney Yin deficiency syndrome and build the animal model of dAMD with integration of disease and syndrome based on clinical characteristics of traditional Chinese and Western medicine.

Objective To explore the principle of antibacterial drug therapy and the strategy of program optimization in elderly patients with Helicobacter pylori（Hp）. Methods The common therapeutic regimen of Hp was summarized, and the better therapeutic regimen of elderly Hp patients was screened ultimately. Results Amoxicillin and cefuroxime were relatively safe compared with other recommended antibacterial drugs. Using other commonly antibiotics for Hp should pay attention to the disease of patients and current drug. Conclusion Elderly patients usually suffered from a variety of diseases and required multiple drugs. The application of therapeutic regimen for elderly patients with Hp should be supposed to fully weigh the risks and benefits.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

BACKGROUND:Knee osteoarthritis is a common degenerative disease that significantly impacts patients'quality of life and increases the societal healthcare burden.Early and accurate diagnosis of knee osteoarthritis is crucial for the treatment and prognosis of patients.Traditional diagnostic methods are not only subjective and time-consuming but also do not guarantee consistently high accuracy.OBJECTIVE:To develop an automatic diagnostic method for knee osteoarthritis based on deep learning,utilizing deep learning networks to improve diagnostic accuracy and efficiency.METHODS:A new network model,YOLOV8-ViT,was proposed by replacing the backbone network of YOLOv8n with the Efficient-ViT network and incorporating attention mechanisms for the automatic identification and classification of X-ray images of knee osteoarthritis.The experimental dataset included 5 078 X-ray images of patients with knee osteoarthritis obtained from the Third Affiliated Hospital of Guangzhou University of Chinese Medicine.Three imaging physicians annotated the sites of knee osteoarthritis and classified them according to the Kellgren-Lawrence grading standard using Labelme software,and the results were combined.The evaluation indicators used in this study included Precision,F1 score,mean average precision(mAP),Recall,val/box_loss,val/cls_loss,and val/dfl_loss.RESULTS AND CONCLUSION:The experimental results showed that the YOLOV8-ViT model outperformed the YOLOv5n,YOLOv8n,and YOLOv9n models in terms of precision,mAP50,mAP50-95,F1 score,and Recall,while lowering val/box_loss,val/cls_loss,and val/dfl_loss by 0.496,0.45,and 0.523;1.037,0.305,and 0.728;and 0.267,0.654,and 0.854,respectively.These experimental data validate that this model has high detection accuracy.

BACKGROUND:Hepatocyte-like cells induced by mesenchymal stem cells are promising seed cells for liver regeneration or liver tissue engineering.The efficiency of traditional two-dimensional culture for hepatocyte induction is low,and more and more research is focused on three-dimensional culture for inducing hepatocyte differentiation.OBJECTIVE:To summarize three-dimensional culture models for the hepatic induction of mesenchymal stem cells,focus on research progress on the epigenetic regulation mechanisms of mesenchymal stem cell hepatogenic differentiation,providing a theoretical basis for improving the differentiation efficiency of mesenchymal stem cells.METHODS:Relevant articles in the PubMed and other databases such as CNKI were searched,using Chinese and English search terms"mesenchymal stem cell,3D culture,hepatogenic differentiation,hepatocyte-like cells,epigenetics."Additionally,the literature tracing method was employed to find some of the literature for a comprehensive review and analysis.RESULTS AND CONCLUSION:(1)Common three-dimensional culture models for the hepatogenic differentiation of mesenchymal stem cells currently include spheroids,biological scaffolds,bioprinting,and microfluidic chips.Each of these models has its own advantages and disadvantages in the process of inducing hepatogenic differentiation.(2)During the differentiation of mesenchymal stem cells into hepatocyte-like cells,epigenetic regulation plays a key role,primarily involving histone modification,DNA methylation,and the regulation of non-coding RNAs.(3)Under three-dimensional culture conditions,epigenetic modifications,especially histone acetylation,play an important role in promoting the hepatogenic differentiation of mesenchymal stem cells.

Objective:To explore the factors that tend to lead to a low normal fertilization rate in spindle transfer of mouse oocytes and its strategies.Methods:Oocytes in metaphase Ⅱ (MⅡ) of C57BL/6 and ICR strains mouse were obtained for observations of mitochondrial replacement operations. Spindle karyoplasts of three different sizes (large, medium, small) were isolated by micromanipulation, and their morphology was observed under bright field and polarized light at 0 min, 10 min, 20 min and 30 min after suction. For small spindle karyoplasts, 2% paraformaldehyde fixation was performed after 10 min, 20 min and 30 min respectively, and the morphology of spindle and chromosomes was observed after immunofluorescence staining. Intracytoplasmic sperm injection (ICSI) was performed on oocytes, followed by small spindle karyoplasts isolation, and then fusion was conducted after 30 min (traditional method), 10 min (modified method 1) and 0 min (modified method 2) respectively. ICSI-oocytes without spindle transfer were used as control group, and 14-16 h later, the fertilization of reconstructed oocytes was observed and statistically analyzed.Results:1) When spindle karyoplast was just retrieved (0 min), the karyoplast membrane was smooth and complete, and the spindle showed a normal spindle shape. After 10 min, 20 min and 30 min of suction, the karyoplast membrane was twisted or elongated with an irregular morphology, and the spindle was also twisted, stretched or scattered with a weaker brightness. And the smaller spindle karyoplast, the more serious the deformation was. 2) When the spindle was just taken out (0 min), immunofluorescence staining showed that the spindle was in a standard spindle shape, and the chromosomes were regularly and neatly arranged on the equatorial plate. With the prolongation of placement time, spindles were elongated and tapered or dumbbell-shaped, and chromosomes were scattered and irregularly arranged. 3) For the traditional method of spindle transfer, the normal fertilization rate of C57BL/6 mouse reconstructed oocytes was 63.16% (24/38), which was statistically different from that of control group ( P=0.002). The normal fertilization rate [68.00% (34/50)] in the modified method 1 group was significantly lower than that in control group [90.00% (36/40), P=0.019], but there was no statistical difference with the traditional method ( P=0.260). However, the normal fertilization rate [82.50% (33/40)] in the modified method 2 group was similar to control group ( P=0.422), and was significantly higher than that of the traditional method group ( P=0.010). Conclusion:The longer the spindle karyoplast of mouse oocytes is stayed after retrieval, the more serious the morphological changes, the more unstable the spindles and chromosomes, and the lower normal fertilization rate. Immediate fusion of spindle karyoplast after isolation is the best time for mitochondrial replacement micromanipulation.

BACKGROUND:Knee osteoarthritis is a common degenerative disease that significantly impacts patients'quality of life and increases the societal healthcare burden.Early and accurate diagnosis of knee osteoarthritis is crucial for the treatment and prognosis of patients.Traditional diagnostic methods are not only subjective and time-consuming but also do not guarantee consistently high accuracy.OBJECTIVE:To develop an automatic diagnostic method for knee osteoarthritis based on deep learning,utilizing deep learning networks to improve diagnostic accuracy and efficiency.METHODS:A new network model,YOLOV8-ViT,was proposed by replacing the backbone network of YOLOv8n with the Efficient-ViT network and incorporating attention mechanisms for the automatic identification and classification of X-ray images of knee osteoarthritis.The experimental dataset included 5 078 X-ray images of patients with knee osteoarthritis obtained from the Third Affiliated Hospital of Guangzhou University of Chinese Medicine.Three imaging physicians annotated the sites of knee osteoarthritis and classified them according to the Kellgren-Lawrence grading standard using Labelme software,and the results were combined.The evaluation indicators used in this study included Precision,F1 score,mean average precision(mAP),Recall,val/box_loss,val/cls_loss,and val/dfl_loss.RESULTS AND CONCLUSION:The experimental results showed that the YOLOV8-ViT model outperformed the YOLOv5n,YOLOv8n,and YOLOv9n models in terms of precision,mAP50,mAP50-95,F1 score,and Recall,while lowering val/box_loss,val/cls_loss,and val/dfl_loss by 0.496,0.45,and 0.523;1.037,0.305,and 0.728;and 0.267,0.654,and 0.854,respectively.These experimental data validate that this model has high detection accuracy.

Objective To investigate the relationship between prolactin and mild cognitive impairment(MCI)in postmenopausal women with type 2 diabetes mellitus(T2DM).Methods A total of 319 postmenopausal women with T2DM who were hospitalized in the Department of Endocrinology,Drum Tower Hospital,Affiliated Hospital of Medical School,Nanjing University were enrolled in this study from August 2016 to October 2023.All the patients were divided into two groups according whether they had MCI:T2DM group(n=161)and MCI group(n=158).Differences in clinical characteristics were compared between the two groups.Pearson correlation was used to analyze the correlation between sex hormones and cognitive domains,and Logistic regression analysis was used to evaluate the influencing factors for MCI development.Results Serum prolactin levels were significantly lower in the MCI group than in the T2DM group[(5.5±2.1)vs(7.2±2.9)μg/L,P<0.05].Serum prolactin level was positively correlated with mini-mental state examination score,Montreal cognitive assessment score,immediate memory score,visuopatial constructional score,attention score and hippocampal volume(P<0.05),and negatively correlated with processing speed test(time)and executive function test(time)(P<0.05).Logistic regression analysis demonstrated that serum prolactin level was an influencing factor for the risk of MCI in postmenopausal women with T2DM(OR 0.715,95%CI 0.605～0.845,P<0.01).Conclusions The decrease of serum prolactin level is associated with an increased risk of MCI in postmenopausal women with T2DM.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.