Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

Objective To evaluate the effects of physical exercise on liver function and size in adolescents.Methods A total of 361 adolescent subjects from Jining,Shandong Province were selected and divided into low,moderate,and high-intensity exercise groups according to the frequency of moderate intensity exercise.Physical ex-amination tests were conducted including morphological indicators,blood biochemical indicator measurements,liver size and the presence of non-alcoholic fatty liver disease.Independent sample t-tests and variance analysis were per-formed using SPSS 26.0,and correlation analysis was conducted using Spearman correlation analysis and multivari-ate linear regression analysis.Results Compared with the moderate and low-intensity exercise groups,the high-intensity exercise group had significantly lower diastolic blood pressure,homeostatic model assessment of insulin resistance(HOMA-IR),and triglycerides(TG),as well as significantly higher height,maximum oblique diameter of the right liver lobe,and direct bilirubin(DBIL).Correlation analysis showed that as exercise intensity in-creased,aspartate aminotransferase/alanine aminotransferase,DBIL,and the maximum oblique diameter of the right liver lobe increased significantly(P＜0.05).The results of the cumulative effect of exercise type and intensity indicate that exercise type does not influence the effect of exercise intensity on liver function and size.Conclusions Regular exercise in adolescents can not only shape body,but also improve glucose and lipid metabolism and en-hance liver function.

To explore the effects of different exercise prescriptions on glycemic metabolism in East Asian patients with type 2 diabetes mellitus (T2DM) and to compare the differences in the impact of population characteristics and exercise components on glycemic metabolism.

To investigate the correlation between vitamin D nutritional status and insulin resistance in pubertal adolescents.

To investigate the mediating role of vitamin D in the association between exerciseand triglyceride among adolescents, as well as its potential molecular mechanisms.

To investigate body composition and associated factors in adolescents undergoing long-term regular sports training.

Objective To explore the effect of resistance exercise on glycolipid metabolism in over-weight or obese people,with the aim of providing reference for the clinical development of appropriate resist-ance exercise programs.Methods PubMed,Cochrane Library,EmBase,Web of Science,CNKI,Wanfang Data Knowledge Service Platform and VIP database were systematically searched to obtain the relevant litera-ture on the effects of resistance exercise on glucose and lipid metabolism from the establishment of the library to December 31,2023 in overweight and obese populations.The type of literature was limited to randomized controlled studies in which the exercise intervention included resistance exercise in the test group but did not include resistance exercise in the control group.The literature was screened by 2 researchers according to in-clusion and exclusion criteria and relevant data were extracted.Meta-analysis of included literature was per-formed using RevMan 5.3 software,and publication bias was assessed using funnel plots.Results A total of 17 papers and 700 study subjects were included,with 351 cases in the test group,and 349 cases in the control group.Meta-analysis results showed that compared with the control group,the glycosylated hemoglobin of the test group with resistance exercise[SMD(95％CI)=-0.30(-0.53--0.07),P=0.010],fasting blood glucose[SMD(95％CI)=-0.58(-0.90--0.26),P＜0.001],insulin re-sistance index[SMD(95％CI)=-0.90(-1.42--0.38),P＜0.001],and low-density lipoprotein cholesterol(LDL-C)[SMD(95％CI)=-0.28(-0.53--0.04),P=0.020]levels were reduced.Subgroup analysis showed that the glucose metabolism levels of the test group with only resistance exercise and a combination of resistance-anaerobic exercise were significantly lower than those of the control group(both P＜0.05).The heterogeneity of the effect of resistance exercise on glucose metabolism in Asian popu-lations(I2=57％)was smaller than that in Caucasion(I2=76％)and other populations(I2=94％),and the level of decrease in glucose metabolism indexes was significant[SMD(95％CI)=-1.15(-1.73--0.57),P＜0.001].Conclusion Resistance exercise can significantly reduce the level of glycolipid me-tabolism indexes in overweight or obese people.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

Pathological mechanism of ulcerative colitis(UC)is not fully clear,which may be the result of Th17/Treg immune imbalance and the interaction of multiple complex factors.Numerous studies have found that classical TCM prescriptions,experienced formulas and TCM active components could regulate Th17/Treg balance by intervening in cytokines,transcription factors,and signaling pathways,restore intestinal mucosal immune function,suppress intestinal mucosal inflammatory response,and repair intestinal mucosal barrier damage.Based on the research status of UC,Th17/Treg balance and TCM treatment,this article reviewed the relationship between Th17/Treg balance and UC,and explained the key role of Th17/Treg balance in the occurrence and development of UC.At the same time,the Chinese materia medica targeting to regulate the balance of Th17/Treg in the treatment of UC in recent years was summarized,in order to provide reference for the treatment of UC.

Sishen Pills is a classic prescription for the treatment of spleen and kidney diarrhea,which has the effect of warming the kidney and the spleen,astringent intestine and antidiarrheal.In modern clinical application,the modified prescriptions based on Sishen Pills,combined with other treatments of TCM and integrated traditional Chinese and Western medicine are often used to treat ulcerative colitis with spleen-kidney yang deficiency syndrome,and the curative effect is remarkable.Experimental pharmacological studies have shown that Sishen Pills may achieve the purpose of ulcerative colitis by regulating the expression of related signaling pathway proteins,regulating inflammatory factors,inhibiting inflammatory response,regulating autophagy,regulating intestinal flora,improving intestinal mucosal permeability,repairing intestinal mucosal barrier,regulating cellular energy metabolism,anti-oxidative stress,regulating cellular immune function,etc.In this article,the research status of Sishen Pills in the treatment of ulcerative colitis was sorted out and summarized,in order to provide reference for further study of its mechanism and clinical application.