Objective:To determine the reference interval of IL-10 level in cerebrospinal fluid of adults using multiplex bead-based flow fluorescent immunoassay(MBFFI).Methods:A total of 743 patients without tumor were involved and grouped by diagno-sis.Cerebrospinal fluid and plasma IL-10 were tested by MBFFI.Results:①Cerebrospinal fluid IL-10 levels of the central nervous system infection group were higher than those of other groups.②The cranial venous sinus thrombosis(CVST)group without tumor,in-fection or inflammatory disease were chosen as nearly normal population.As the distribution of cerebrospinal fluid IL-10 levels in these 250 CVST patients were skewed,95％cut-off level was chosen as upper limit and cerebrospinal fluid IL-10<3.50 pg/ml was the refer-ence interval.③No correlation was found between plasma and cerebrospinal fluid IL-10 levels in the CVST group.Conclusion:The medical reference interval of cerebrospinal fluid IL-10 by MBFFI in adults are determined in this study,that is<3.50 pg/ml,to pro-vide clinical reference for practical applications.

Objective:To determine the reference interval of IL-10 level in cerebrospinal fluid of adults using multiplex bead-based flow fluorescent immunoassay(MBFFI).Methods:A total of 743 patients without tumor were involved and grouped by diagno-sis.Cerebrospinal fluid and plasma IL-10 were tested by MBFFI.Results:①Cerebrospinal fluid IL-10 levels of the central nervous system infection group were higher than those of other groups.②The cranial venous sinus thrombosis(CVST)group without tumor,in-fection or inflammatory disease were chosen as nearly normal population.As the distribution of cerebrospinal fluid IL-10 levels in these 250 CVST patients were skewed,95％cut-off level was chosen as upper limit and cerebrospinal fluid IL-10<3.50 pg/ml was the refer-ence interval.③No correlation was found between plasma and cerebrospinal fluid IL-10 levels in the CVST group.Conclusion:The medical reference interval of cerebrospinal fluid IL-10 by MBFFI in adults are determined in this study,that is<3.50 pg/ml,to pro-vide clinical reference for practical applications.

Virtual clinical trials are clinical trials conducted through computer simulation technology, which breaks through the limitations of traditional clinical trials and has the advantages of saving time, reducing costs, and reducing the risk of human trials. With the application of new computer technologies such as population pharmacokinetics, physiologically-based pharmacokinetics, quantitative systems pharmacology, and artificial intelligence, the field of virtual clinical trials in healthcare has become an important development direction. This article will give a preliminary review of the connotation, methods and future development trends of virtual clinical trials, aiming to provide reference for the application of new technologies and methods in clinical trials.

Experiential teaching is a practical, reflective, and situational teaching method. Based on the systematic review of literature published worldwide, this paper summarizes the characteristics and organizational forms of experiential teaching, with a focus on its current application and existing problems in teaching geriatric nursing. This review provides suggestions for the reform of teaching methods of geriatric nursing in China.

Population pharmacokinetics is a research technique based on computer simulation and data analysis, and it has been employed to investigate the dynamic behavior of drug metabolism in different populations. This approach could address practical challenges such as prolonged clinical trial durations, high costs, and increased difficulty in traditional clinical trials. By comprehensively analyzing differences in the internal drug metabolism processes across populations with varying physiological and pathological conditions, population pharmacokinetics has emerged as an effective method to optimize drug development and clinical applications. This article provides a preliminary overview of the essence of population pharmacokinetics, its application in clinical trials, and potential future trends. We hope to serve as a reference and guidance for the application of new technologies and methods in clinical trials.

Objective:To analyze the 5-year relative survival rate of cancer in Henan province based on cancer registration data.Methods:Cancer survival data were extracted from the cancer registration database of Henan province with the diagnosis date between January 1, 2010 and December 31, 2019 were included. The closing date of follow-up was set as December 31, 2019. The 5-year relative survival rate of cancer was calculated using the period survival analysis method and the Ederer II method in the R package "periodR", and the interest period was between 2015 and 2019.Results:During the period of 2015-2019, the overall 5-year relative survival rate of cancer patients in Henan province was 43.6%, and after age-standardization, it was 40.2%. The overall 5-year relative survival rate showed the characteristics of higher survival rate in females than males (45.9% vs 34.7%, Z=39.60, P＜0.001) and higher survival rate in urban areas than rural areas (44.9% vs 39.1%, Z=12.97, P＜0.001). The 5-year relative survival rate for cancer patients among children aged 0-14 was 60.2%, and for adults aged 15 and above, it was 43.5%, which was standardized to 40.2% after age adjustment. There are two types of cancers with a standardized 5-year relative survival rate exceeding 70% (thyroid cancer at 82.2% and breast cancer at 71.6%), and four cancers with a rate below 30% (pancreatic cancer at 18.2%, liver cancer at 19.6%, lung cancer at 24.0%, and gallbladder cancer at 26.6%). Conclusion:The cancer 5-year survival rate in Henan Province is lower than that of the national average, indicating the need for continued enhancement of cancer prevention and control measures.

Objective:To analyze the 5-year relative survival rate of cancer in Henan province based on cancer registration data.Methods:Cancer survival data were extracted from the cancer registration database of Henan province with the diagnosis date between January 1, 2010 and December 31, 2019 were included. The closing date of follow-up was set as December 31, 2019. The 5-year relative survival rate of cancer was calculated using the period survival analysis method and the Ederer II method in the R package "periodR", and the interest period was between 2015 and 2019.Results:During the period of 2015-2019, the overall 5-year relative survival rate of cancer patients in Henan province was 43.6%, and after age-standardization, it was 40.2%. The overall 5-year relative survival rate showed the characteristics of higher survival rate in females than males (45.9% vs 34.7%, Z=39.60, P＜0.001) and higher survival rate in urban areas than rural areas (44.9% vs 39.1%, Z=12.97, P＜0.001). The 5-year relative survival rate for cancer patients among children aged 0-14 was 60.2%, and for adults aged 15 and above, it was 43.5%, which was standardized to 40.2% after age adjustment. There are two types of cancers with a standardized 5-year relative survival rate exceeding 70% (thyroid cancer at 82.2% and breast cancer at 71.6%), and four cancers with a rate below 30% (pancreatic cancer at 18.2%, liver cancer at 19.6%, lung cancer at 24.0%, and gallbladder cancer at 26.6%). Conclusion:The cancer 5-year survival rate in Henan Province is lower than that of the national average, indicating the need for continued enhancement of cancer prevention and control measures.

Objective:To investigate the effects of β-1,4-galactosyltransferase 2(B4GALT2)on the proliferation,migration and invasion of human breast cancer MCF-7 and MDA-MB-231 cells,and to explore its underlying mechanism.Methods:The mRNA and protein expression of B4GALT2 in breast cancer tissues was analyzed using data from TCGA database and the CPTAC proteomics database.Immunohistochemical staining was used to validate the expression of B4GALT2 protein in breast cancer tissues of Chinese population.The correlation between B4GALT2 mRNA expression in breast cancer tissues and patient prognosis was analyzed using data from the Kaplan-Meier Plotter database.MCF-7 and MDA-MB-231 cells were routinely cultured and transfected with siNC,siRNA#1,siRNA#2,empty vector,and B4GALT2 overexpression plasmids using transfection reagents.The transfected cells were classified as NC group,siRNA#1 group,siRNA#2 group,empty vector group,and OE-B4GALT2 group accordingly.CCK-8 assay and clone formation assay were used to detect the effects of B4GALT2 knockdown on proliferation of transfected cells.Scratch healing assay and Transwell chamber assay were applied to evaluate the effects of B4GALT2 knockdown on cell migration and invasion.WB assay was used to detect the phosphorylation levels of the PI3K/AKT signaling pathway in MCF-7,MDA-MB-231 cells after B4GALT2 knockdown or overexpression.Results:B4GALT2 was highly expressed in breast cancer tissues at both mRNA and protein levels(both P<0.01),and B4GALT2 protein was also highly expressed in Chinese breast cancer tissues(P<0.000 1),confirming the initial findings.High B4GALT2 expression was significantly associated with shorter overall prognosis(OS),recurrence-free survival(RFS),and post-progression survival(PPS)(P<0.01,P<0.05,P<0.001)in patients.After B4GALT2 knockdown,the proliferation,migration and invasion of MCF-7 and MDA-MB-231 cells were significantly suppressed(all P<0.01),and the PI3K/AKT signaling pathway was significantly inhibited(all P<0.01).The PI3K/AKT signaling pathway was significantly activated after B4GALT2 overexpression(all P<0.01).Conclusion:B4GALT2 is highly expressed in breast cancer tissues.It promotes the malignant biological behaviors of MCF-7 and MDA-MB-231 cells by regulating the PI3K/AKT signaling pathway.

ObjectiveTo observe the effect of Dahuang Xiezhuo prescription on the clinical symptoms， blood uric acid， and renal tubular function of patients with immunoglobulin A （IgA） nephropathy in stages 1-2 of chronic kidney disease （CKD） complicated with hyperuricemia （HUA）. MethodSixty patients with IgA nephropathy in stages 1-2 of CKD complicated with HUA of spleen and kidney deficiency and combined turbidity and blood stasis syndromes were randomly divided into an observation group and a control group， with 30 cases in each group. The patients in the control group received basic treatment， i.e.， losartan potassium tablets 50-100 mg/time， once per day， and sodium bicarbonate tablets 0.5 g/time， three times per day by oral administration， combined with low-salt， low-fat， and low-purine diet. The patients in the observation group received Dahuang Xiezhuo prescription on the basis of basic treatment， one dose per day， twice a day in the morning and evening with warm water. Both groups were treated for two months. The total scores of traditional Chinese medicine（TCM）syndrome， blood pressure， 24 h urinary protein （24 h UTP）， blood urea nitrogen （BUN）， serum creatinine （SCr） ［glomerular filtration rate （eGFR） was calculated by CKD-epidemiology collaboration （CKD-EPI） formula］， serum uric acid （SUA）， and renal tubular function indexes ［urinary α₁-microglobulin （α₁-MG）， urinary β₂-microglobulin （β₂-MG）， urinary kidney injury molecule-1 （KIM-1）， and neutrophil gelatinase-associated lipocalin （NGAL）］ of the two groups before treatment and two months after treatment were recorded. The clinical efficacy of the two groups was evaluated two months after treatment. ResultAfter 2 months of treatment，the total effective rate in the observation group was 81.48%（22/27），higher than 50.00%（14/28） in the control group（χ² =6.661，P<0.05）. The total scores of TCM syndrome， 24 h UTP， and SUA in the observation group and the observation group were lower than those before treatment （P<0.05）， and compared with the control group after treatment， the observation group decreased more significantly （P<0.05）. After treatment， the blood pressure in the observation group and the observation group was lower than that before treatment （P<0.05）， and there was no significant difference in blood pressure between the two groups after treatment. After treatment， the levels of urinary α₁-MG， β₂-MG， KIM-1， and NGAL in the two groups were lower than those before treatment （P<0.05）， and the observation group was lower than the control group after treatment （P<0.05）. There were no significant inter-group and intra-group differences in BUN， SCr， and eGFR levels before and after treatment. There were no obvious abnormalities in blood routine， liver function， and electrolytes before and after treatment in the two groups， and no adverse reactions such as allergies occurred. ConclusionDahuang Xiezhuo prescription can effectively improve the clinical symptoms of IgA nephropathy with HUA （CKD1-2） patients with spleen and kidney deficiency and combined turbidity and blood stasis syndromes， reduce blood uric acid level， alleviate renal tubular injury， and protect the kidney. The curative effect is better than that of basic treatment.

BACKGROUND: Sarcopenia is an age-related progressive skeletal muscle disorder involving the loss of muscle mass or strength and physiological function. Efficient and precise AI algorithms may play a significant role in the diagnosis of sarcopenia. In this study, we aimed to develop a machine learning model for sarcopenia diagnosis using clinical characteristics and laboratory indicators of aging cohorts. METHODS: We developed models of sarcopenia using the baseline data from the West China Health and Aging Trend (WCHAT) study. For external validation, we used the Xiamen Aging Trend (XMAT) cohort. We compared the support vector machine (SVM), random forest (RF), eXtreme Gradient Boosting (XGB), and Wide and Deep (W&D) models. The area under the receiver operating curve (AUC) and accuracy (ACC) were used to evaluate the diagnostic efficiency of the models. RESULTS: The WCHAT cohort, which included a total of 4057 participants for the training and testing datasets, and the XMAT cohort, which consisted of 553 participants for the external validation dataset, were enrolled in this study. Among the four models, W&D had the best performance (AUC = 0.916 ± 0.006, ACC = 0.882 ± 0.006), followed by SVM (AUC =0.907 ± 0.004, ACC = 0.877 ± 0.006), XGB (AUC = 0.877 ± 0.005, ACC = 0.868 ± 0.005), and RF (AUC = 0.843 ± 0.031, ACC = 0.836 ± 0.024) in the training dataset. Meanwhile, in the testing dataset, the diagnostic efficiency of the models from large to small was W&D (AUC = 0.881, ACC = 0.862), XGB (AUC = 0.858, ACC = 0.861), RF (AUC = 0.843, ACC = 0.836), and SVM (AUC = 0.829, ACC = 0.857). In the external validation dataset, the performance of W&D (AUC = 0.970, ACC = 0.911) was the best among the four models, followed by RF (AUC = 0.830, ACC = 0.769), SVM (AUC = 0.766, ACC = 0.738), and XGB (AUC = 0.722, ACC = 0.749). CONCLUSIONS: The W&D model not only had excellent diagnostic performance for sarcopenia but also showed good economic efficiency and timeliness. It could be widely used in primary health care institutions or developing areas with an aging population. TRIAL REGISTRATION Chictr.org, ChiCTR 1800018895.
Humans ; Aged ; Sarcopenia/diagnosis* ; Deep Learning ; Aging ; Algorithms ; Biomarkers