Objective To explore the risk factors for mineral and bone disorder in maintenance hemodialysis patients, and to construct and validate a nomogram prediction model. Methods A total of 306 patients undergoing maintenance hemodialysis at Shanghai Eighth People’s Hospital from January 2021 to May 2025 were selected as study subjects and randomly divided into a training set (n＝214) and a validation set (n＝92) in a 7∶3 ratio. In the training set, patients were divided into a normal bone mineral metabolism group and an abnormal bone mineral metabolism group, and related factors were compared between the two groups. The multivariate logistic regression analysis was used to identify the influencing factors of mineral and bone disorder in maintenance hemodialysis patients in the training set, and a nomogram prediction model was constructed. ROC curves were drawn to evaluate the ability of the nomogram model for predicting mineral and bone disorder in these patients. Calibration curves and Hosmer-Lemeshow goodness-of-fit test were used to analyze the consistency of the predictive probability of nomogram model and actual probability of mineral and bone disorder in these patients. The decision curve was used to assess the clinical benefit using nomogram prediction model. Results Among the 306 hemodialysis patients, 254 patients had mineral and bone disorder, accounting for 83.01%. Among the 214 patients in the training set, 177 had mineral and bone disorder, accounting for 82.71%. In the training set, age, gender, body mass index (BMI), hypertension rate, dialysis age, blood urea nitrogen (BUN), hemoglobin (Hb), albumin (ALB), alkaline phosphatase (ALP), serum creatinine (SCr), uric acid (UA), estimated glomerular filtration rate (eGFR), and rate of taking phosphate binders were statistically significant different between the two groups (P＜0.05). The multivariate logistic regression analysis showed higher age, female, hypertension, longer dialysis duration, decreased eGFR, and not taking phosphate binders were identified as risk factors for mineral and bone disorder in maintenance hemodialysis patients (P＜0.01). The nomogram prediction model was constructed. The area under the ROC curve of the model for mineral and bone disorder in the training set and validation set was 0.895 (95%CI 0.850-0.941) and 0.881 (95%CI 0.830-0.932), respectively, with maximum Youden indice of 0.650 and 0.600, sensitivity of 0.856 and 0.849, and specificity of 0.794 and 0.751. The Hosmer-Lemeshow test showed the nomogram prediction model had good consistency in predictive probabilities with actual probabilities in training set and validation set. The decision curve showed the nomogram model could bring clinical net benefits when the threshold probabilities in the training set and validation set were less than 0.96 and 0.91. Conclusions The nomogram prediction model constructed based on six independent risk factors including age, gender, hypertension, dialysis duration, eGFR, and using phosphate binders or not, shows good discrimination and calibration, with good clinical predictive ability, which could provide guidance for the management of maintenance hemodialysis patients.

Objective To explore the bioactive components in Jiawei Xiaoyao Pills(JWXYP)and their mechanisms for alleviating depression-like behaviors.Methods The active compounds,key targets,and pathways of JWXYP were identified using TCMSP and TCMIP databases.Thirty-six SD rats were randomized equally into 6 groups including a control group and 5 chronic unpredictable mild stress(CUMS)-induced depression groups.After modeling,the 5 model groups were treated with daily gavage of normal saline,1.8 mg/kg fluoxetine hydrochloride(positive control drug),or JWXYP at 1.44,2.88,and 4.32 g/kg.The depression-like behaviors of the rats were evaluated using behavioral tests,and pathological changes in the liver and hippocampus were examined with HE staining.The biochemical indicators in the serum and brain tissues were detected using ELISA.Serum metabolomics analysis was performed to identify the differential metabolites using OPLS-DA,and gut microbiota changes were analyzed using 16S rDNA sequencing.Results Network pharmacology revealed that menthone and paeonol in JWXYP were capable of penetrating the blood-brain barrier to regulate inflammatory pathways and protect the nervous system.In the rat models subjected to CUMS,treatment with JWXYP significantly improved body weight loss,sucrose preference and open field activities,reduced liver inflammation,alleviated structural changes in the hippocampal neurons,decreased serum levels of TNF-α,IL-1β,IL-6 and LBP,and increased 5-HT and VIP concentrations in the serum and brain tissue,and these effects were the most pronounced in the high-dose group.Metabolomics analysis showed changes in such metabolites as indole-3-acetamide and acetyl-L-carnitine in JWXYP-treated rats,involving the pathways for bile acid biosynthesis and amino acid metabolism.16S rDNA analysis demonstrated increased gut microbiota diversity and increased abundance of Lactobacillus species in JWXYP-treated rats.Conclusion JWXYP alleviates depression-like symptoms in rats by regulating the neurotransmitters,inhibiting inflammation and oxidation,and modulating gut microbiota.

OBJECTIVES: To explore the bioactive components in Jiawei Xiaoyao Pills (JWXYP) and their mechanisms for alleviating depression-like behaviors. METHODS: The active compounds, key targets, and pathways of JWXYP were identified using TCMSP and TCMIP databases. Thirty-six SD rats were randomized equally into 6 groups including a control group and 5 chronic unpredictable mild stress (CUMS)-induced depression groups. After modeling, the 5 model groups were treated with daily gavage of normal saline, 1.8 mg/kg fluoxetine hydrochloride (positive control drug), or JWXYP at 1.44, 2.88, and 4.32 g/kg. The depression-like behaviors of the rats were evaluated using behavioral tests, and pathological changes in the liver and hippocampus were examined with HE staining. The biochemical indicators in the serum and brain tissues were detected using ELISA. Serum metabolomics analysis was performed to identify the differential metabolites using OPLS-DA, and gut microbiota changes were analyzed using 16S rDNA sequencing. RESULTS: Network pharmacology revealed that menthone and paeonol in JWXYP were capable of penetrating the blood-brain barrier to regulate inflammatory pathways and protect the nervous system. In the rat models subjected to CUMS, treatment with JWXYP significantly improved body weight loss, sucrose preference and open field activities, reduced liver inflammation, alleviated structural changes in the hippocampal neurons, decreased serum levels of TNF‑α, IL-1β, IL-6 and LBP, and increased 5-HT and VIP concentrations in the serum and brain tissue, and these effects were the most pronounced in the high-dose group. Metabolomics analysis showed changes in such metabolites as indole-3-acetamide and acetyl-L-carnitine in JWXYP-treated rats, involving the pathways for bile acid biosynthesis and amino acid metabolism. 16S rDNA analysis demonstrated increased gut microbiota diversity and increased abundance of Lactobacillus species in JWXYP-treated rats. CONCLUSIONS JWXYP alleviates depression-like symptoms in rats by regulating the neurotransmitters, inhibiting inflammation and oxidation, and modulating gut microbiota.
Animals ; Drugs, Chinese Herbal/therapeutic use* ; Gastrointestinal Microbiome/drug effects* ; Rats, Sprague-Dawley ; Depression/drug therapy* ; Neurotransmitter Agents/metabolism* ; Rats ; Inflammation ; Male ; Hippocampus ; Behavior, Animal/drug effects*

Objective·To investigate the regulatory effects and underlying mechanisms of mouse mandibular osteoblasts on B cell differentiation and development.Methods·Single-cell suspensions from mouse mandibular bone were prepared using an optimized enzymatic digestion method and induced to differentiate into osteoblasts in vitro.Osteogenic potential was validated by real-time quantitative PCR(RT-qPCR),alkaline phosphatase(ALP)staining,and alizarin red S(ARS)staining.The spatial localization relationship between osteoblasts and B cells in mandibular tissues was examined via immunofluorescence staining.High-purity hematopoietic progenitor cells were isolated using fluorescence-activated cell sorting.A Transwell co-culture system was established to assess the regulatory effects of different osteoblast concentrations(5×104,2.5×105,and 5×105 cells/well)on B cell differentiation(5×104 cells/well).Flow cytometry and RT-qPCR were employed to evaluate B cell viability and differentiation.Additionally,RT-qPCR was used to analyze the expression of osteoblast-secreted factors associated with B cell development during osteogenic differentiation.Results·Mandibular osteoblasts exhibited robust osteogenic potential,as confirmed by ALP/ARS staining and high expression of osteogenic markers(Runx2,Osx,Ocn,and Alp)via RT-qPCR.Immunofluorescence revealed close spatial proximity between osteoblasts and B cells in mandibular tissues.In the co-culture system,osteoblasts promoted B cell differentiation in a concentration-dependent manner.RT-qPCR and immunofluorescence demonstrated that osteoblasts significantly upregulated key genes involved in B cell development(Ebf1,Rag1,Il7r,and Pax5;all P<0.001).Furthermore,osteoblast-derived factors(Il7,Baff,and Flt3l)were markedly elevated during osteogenic differentiation(all P<0.05).Conclusion·Mandibular osteoblasts enhance B cell differentiation and development in a concentration-dependent manner,likely through secreting growth factors that upregulate critical B cell differentiation genes.

Objective·To investigate the regulatory effects and underlying mechanisms of mouse mandibular osteoblasts on B cell differentiation and development.Methods·Single-cell suspensions from mouse mandibular bone were prepared using an optimized enzymatic digestion method and induced to differentiate into osteoblasts in vitro.Osteogenic potential was validated by real-time quantitative PCR(RT-qPCR),alkaline phosphatase(ALP)staining,and alizarin red S(ARS)staining.The spatial localization relationship between osteoblasts and B cells in mandibular tissues was examined via immunofluorescence staining.High-purity hematopoietic progenitor cells were isolated using fluorescence-activated cell sorting.A Transwell co-culture system was established to assess the regulatory effects of different osteoblast concentrations(5×104,2.5×105,and 5×105 cells/well)on B cell differentiation(5×104 cells/well).Flow cytometry and RT-qPCR were employed to evaluate B cell viability and differentiation.Additionally,RT-qPCR was used to analyze the expression of osteoblast-secreted factors associated with B cell development during osteogenic differentiation.Results·Mandibular osteoblasts exhibited robust osteogenic potential,as confirmed by ALP/ARS staining and high expression of osteogenic markers(Runx2,Osx,Ocn,and Alp)via RT-qPCR.Immunofluorescence revealed close spatial proximity between osteoblasts and B cells in mandibular tissues.In the co-culture system,osteoblasts promoted B cell differentiation in a concentration-dependent manner.RT-qPCR and immunofluorescence demonstrated that osteoblasts significantly upregulated key genes involved in B cell development(Ebf1,Rag1,Il7r,and Pax5;all P<0.001).Furthermore,osteoblast-derived factors(Il7,Baff,and Flt3l)were markedly elevated during osteogenic differentiation(all P<0.05).Conclusion·Mandibular osteoblasts enhance B cell differentiation and development in a concentration-dependent manner,likely through secreting growth factors that upregulate critical B cell differentiation genes.

Abstract OBJECTIVE To analyze and summarize the research history, development status, trends and hotspots of Codonopsis Radix by bibliometrics. METHODS Search and screen the related literatures of Codonopsis Radix from the CNKI database and the Web of Science core collection database from Januar 1, 1992 to June 30, 2022. VOSviewer and CiteSpace softwares were used for visual analysis of the number of publications, authors, institutions, countries, funding funds, published journals, literature citation frequency, keywords, clustering and emergent word, and a visual graph was drew. RESULTS A total of 594 effective literature, 484 in Chinese and 110 in English were included. GAO Jianping and ZOU Yuanfeng were the scholars with the largest amount of Chinese and English literature. China was the country with the most published researches on Codonopsis Radix. The School of Pharmaceutical Science of Shanxi Medical University and the Chinese Academy of Sciences were the institutions with the largest number of Chinese and English literature publications respectively. The National Science Foundation of China was the largest fund to support the research of Codonopsis Radix. The journal that received the most Chinese and English literature were Journal of Chinese Medicinal Materials and International Journal of Biological Macromolecules respectively. The most frequently cited Chinese literature was a summary of the chemical constituents and pharmacological effects of Codonopsis Radix. The most frequently cited English literature was a study on the structure identification and pharmacological effects of Codonopsis Radix polysaccharides. The map of key words, clustering and emergent words in Chinese literature showed that the main research directions of Codonopsis Radix were compatibility formula, resource planting, pharmacological action and quality control. The map of key words, clustering and emergent words in English literature indicated that the study of Codonopsis Radix always focused on the material basis and mechanism of its active ingredients. CONCLUSION The annual publications on of Codonopsis Radix show an increasing trend, and the main research institutions are distributed in many universities and research institutes in China. Both Chinese and English literature have their own research directions, and the pharmacological effects of active ingredients are the common trend hotspots.

Facing this international public health emergency, Zhongshan Hospital of Fudan University has actively explored the management strategies to conduct standardized residency training in the epidemic prevention and control, including to ensure residents' health status before returning to work through accurate screening, focused monitoring and classified management; to conduct the training of COVID-19 knowledge and reasonably arrange the clinical work and actively explore innovative teaching models in multiple ways; to guarantee the normal restoration of the standardized residency training work on the basis of routine monitoring during the epidemic prevention and control as soon as possible. Through this epidemic outbreak, it's found that it's urgent to attach great importance to the cultivation of the ability to deal with public health emergencies, and the management departments should strengthen their ability to handle and manage public emergencies.

Objective:To analyze the risk factors for protein-energy wasting(PEW)in elderly patients undergoing hemodialysis(HD)and peritoneal dialysis(PD), in order to provide evidence for the prevention of PEW and improve the prognosis in these patients.Methods:According to the diagnostic criteria for PEW proposed by the International Society for Renal Nutrition and Metabolism, 112 elderly patients who had undergone PD and HD without PEW from May 2016 to June 2020 in the renal medicine department of the Eighth People's Hospital of Shanghai, the geriatric medicine department of Zhongshan Hospital Affiliated to Fudan University and the renal medicine department of the Sixth People's Hospital Affiliated to Shanghai Jiaotong University were included as the non-PEW group.During the same period, 114 cases with PEW were recruited as the PEW group.Differences in general patient data, biochemical test values, anthropometric measurements, bioelectrical impedance and other index values were compared between the two groups.Independent risk factors for PEW in elderly HD and PD patients were analyzed by using binary Logistic regression analysis.Results:Compared with the non-PEW group, the PEW group had a higher mean age( t=0.951, P<0.001), a higher proportion of patients aged ≥65 years( χ2=17.161, P<0.001), a lower body mass index( t=6.740, P<0.001), a higher incidence of diabetic nephropathy( χ2=14.176, P<0.001), a higher hemodialysis rate( χ2=4.543, P=0.033), and a longer duration(months)of dialysis( t=2.306, P=0.023). Levels of serum transferrin, prealbumin, total protein, hemoglobin and total cholesterol and body cell mass index were lower( t=6.262, 13.405, 9.507, 8.341, 4.610, 5.599 and 2.499, all P<0.05), high-sensitivity C-reactive protein levels and the body water percentage were higher( t=6.380, 4.519, both P<0.001), and the upper arm muscle circumference was smaller( t=5.418, P=0.000)in the PEW group than in the non-PEW group.Binary Logistic regression analysis showed that age≥65 years, dialysis duration, serum albumin and high-sensitivity C-reactive protein levels were independent influencing factors for PEW in elderly HD patients( OR=2.762, 0.182, 2.694 and 2.980, P=0.023, 0.007, 0.009 and 0.027). Age ≥65 years, body mass index and the hemoglobin level were independent influencing factors for PEW in elderly PD patients( OR=2.452, 0.671 and 0.962, P=0.013, 0.000 and 0.000). Conclusions:The incidence of PEW is lower in elderly HD patients than in elderly PD patients.Clinical intervention should be carried out based on influencing factors, in order to prevent the occurrence of PEW.

Motor dysfunction is the main clinical symptom and diagnosis basis of patients with Parkinson's disease (PD). A total of 30 subjects were recruited in this study, including 15 PD patients (PD group) and 15 healthy subjects (control group). Then 5 wearable inertial sensor nodes were worn on the bilateral upper limbs, lower limbs and waist of subjects. When completing the 6 paradigm tasks, the acceleration and angular velocity signals from different parts of the body were acquired and analyzed to obtain 20 quantitative parameters which contain information about the amplitude, frequency, and fatigue degree of movements to assess the motor function. The clinical data of the two groups were statistically analyzed and compared, and then Back Propagation (BP) Neural Network was used to classify the two groups and predict the clinical score. The final results showed that most of the parameters had significant difference between the two groups, ten times of 5-fold cross validation showed that the classification accuracy of the BP Neural Network for the two groups was 90%, and the predictive accuracy of Hoehn-Yahr (H-Y) staging and unified PD rating scale (UPDRS) Ⅲ score of the patients were 72.80% and 68.64%, respectively. This study shows the feasibility of quantitative assessment of motor function in PD patients using wearable sensors, and the quantitative parameters obtained in this paper may have reference value for future related research.