Aim To predict the mechanism of Fufang Congrong Yizhi Capsules (FCYC) in the treatment of mild cognitive impairment (MCI) by network pharmacology method, and further validate it in combination with cellular experiments. Methods TCMSP, Gene-Cards, OMIM and TTD databases, Chinese Pharmacopoeia and related literature were used to screen the active ingredients of FCYC and the targets of MCI treatment. The TCM-compound-target-disease network and PPI of intersection targets were constructed, and the GO and KEGG analysis were performed by the Ehamb bioinformation platform. GO and KEGG analysis were performed through Yihanbo biological information platform. Cell model of MCI was established by PC-12 injury induced by Aβ

Objective To observe the value of quantitative analysis technique for evaluating left atrial function in children with Kawasaki disease(KD).Methods Totally 43 children with KD(KD group)who would undergo intravenous immunoglobulin(IVIG)therapy were prospectively enrolled,including 23 with(ectasia subgroup)and 20 without coronary artery ectasia(non-ectasia subgroup),while 50 healthy children were enrolled as control group.Children in KD group.Echocardiography was performed in acute phase(10-12 hours before IVIG therapy),subacute phase(1 week after therapy)and convalescent phase(6-10 weeks after therapy)of KD.The left atrial reservoir strain(LASr),early diastolic conduit strain(LAScd),late diastolic contractile strain(LASct),left ventricular global longitudinal strain(LVGLS),basal segment,middle segment and apical segment longitudinal strain(LS)were measured.Strain parameters of different periods were compared between groups and subgroups in KD group,and left atrial strain parameters in KD subgroup were compared among different periods.Pearson correlation analysis was used for evaluation of the correlations of left atrium and left ventricle strain parameters in children with acute KD.Results LASr,LAScd,LASct,LVGLS and left ventricular segment LS of KD group in acute and subacute phase were all lower than those of control group(all P＜0.05),while the basal segment LS of KD group in convalescent phase was lower than that of control group(P＜0.05).In KD group,compared with acute stage,LASr,LAScd,LASct,LVGLS and left ventricular segment LS significantly increased in subacute phase(all P＜0.05),while in convalescent phase,LASr,LAScd,LASct,LVGLS,middle segment LS and apical LS further increased(all P＜0.05).LASr and LAScd in acute phase of KD group were positively correlated with LVGLS,middle segment LS and apical segment LS(r=0.43-0.67,all P＜0.05).In the acute and subacute phases,no significant difference of left artial LS parameters was found between subgroups within KD group(all P＞0.05).LASr and LAScd in convalescent phase of ectasia subgroup were lower than those of non-ectasia subgroup(all P＜0.05),while no significant difference of LASct was found between subgroups within KD group(P＞0.05).Conclusion Quantitative analysis technique could be used to evaluate left atrial function in KD children.Changes of left atrial function in KD children were closely related to left ventricular systolic function,which was affected by coronary artery ectasia in convalescent phase.

Objective:The effect and safety of etoposide combined with G-CSF were compared with those of cyclophosphamide combined with G-CSF in autologous peripheral blood mobilization in patients with multiple myeloma (MM) .Methods:Patients with MM who received autologous peripheral blood stem cell mobilization and collection in the Department of Hematology, Beijing Chaoyang Hospital Affiliated to Capital Medical University from January 1, 2020 to July 31, 2023 were included. A total of 134 patients were screened by propensity score matching technology according to a 1∶1 ratio. A total of 67 cases were each treated with ETO combined with G-CSF mobilization scheme (ETO group) and CTX combined with G-CSF mobilization scheme (CTX group). Their clinical data were retrospectively analyzed.Results:①Collection results: the ETO and CTX groups [2 (1-3) d vs 2 (1-5) d; P<0.001] and CD34 + cells [7.62×10 6 (2.26×10 6-37.20×10 6) /kg vs 2.73×10 6 (0.53×10 6-9.85×10 6) /kg; P<0.001] were collected. The success rate of collection was 100.0% (67/67) versus 76.1% (51/67) ( P<0.001). Excellent rate of collection was 82.1% (55/67) versus 20.9% (14/67; P<0.001). Two patients in the ETO group switched protocols after 1 day of collection, and 11 patients in the CTX group switched protocols after 1-2 days of collection. ②Adverse reactions: granular deficiency with fever (21.5%[14/65] vs. 10.7%[6/56]; P=0.110), requiring platelet transfusion [10.7% (7/65) vs 1.8% (1/56) ; P=0.047]. ③Until the end of follow-up, 63 cases in the ETO group and 54 cases in the CTX group have undergone autologous transplantation. The median number of CD34 + cells infused in the two groups was 4.62×10 6 (2.14×10 6-19.89×10 6) /kg versus 2.62×10 6 (1.12×10 6-5.31×10 6) /kg ( P<0.001), neutrophil implantation time was 11 (9-14) d versus 11 (10-14) d ( P=0.049), and platelet implantation time was 11 (0-19) d vs. 12 (0-34) d ( P=0.035). One case in the CTX group experienced delayed platelet implantation. Conclusion:The mobilization scheme of etoposide combined with G-CSF requires relatively platelet transfusion, but the collection days are shortened. The collection success rate, excellent rate, and the number of CD34 + cells obtained are high, and the neutrophil and platelet engraftment is accelerated after transplantation.

Objective To explore the efficacy of semaglutide in the treatment of type 2 diabetes mellitus(T2DM)com-bined with non-alcoholic fatty liver disease(NAFLD)and its effect on oxidative stress and inflammatory factors.Methods Totally 80 patients with T2DM accompanied by NAFLD admitted to the First Affiliated Hospital of Xinxiang Medical University from July 2021 to December 2022 were selected and randomly assigned to the observation group and the control group,with 40 patients in each group.Patients in the control group were treated with pioglitazone metformin and dapagliflozin,while patients in the observation group were treated with pioglitazone metformin,dapagliflozin,and semaglutide.The levels of glycated hemoglobin(HbA1c),fasting blood glucose(FBG),2-hour postprandial blood glucose(2hPG),body mass,body mass index(BMI),waist circumference,alanine aminotransferase(ALT),aspartate aminotransferase(AST),gamma-glutamyl transferase(GGT),controlled attenuation parameter(CAP),liver stiffness measurement(LSM),malondialdehyde(MDA),glutathione peroxidase(GSH-PX),lipid peroxide(LPO),tumor necrosis factor-α(TNF-α),interleukin-6(IL-6),and interleukin-10(IL-10)before and after the treatment were compared.Results After 24 weeks of treatment,the overall response rate(ORR)in the observation group and control group was 92.5％(37/40)and 72.5％(29/40),respectively;and the ORR in the observation group was significantly higher than that in the control group(x2=5.541,P＜0.05).Before treatment,there was no statistically significant difference in the body mass,BMI,waist circumference,HbA1c,FBG,2hPG,ALT,AST,GGT,CAP,LSM,MDA,GSH-PX,LPO,TNF-α,IL-6,and IL-10 of patients between the 2 groups(P＞0.05);after 24 weeks of treatment,the body mass,BMI,waist circumference,HbA1c,FBG,2hPG,ALT,AST,GGT,CAP,LSM,MDA,LPO,TNF-α,IL-6,and IL-10 were significantly lower than before treatment,while GSH-PX was significantly higher than before treatment(P＜0.05);after 24 weeks of treatment,the body mass,BMI,waist circumference,HbA1c,FBG,2hPG,ALT,AST,GGT,CAP,LSM,MDA,LPO,TNF-α,IL-6,and IL-10 of patients in the observation group were significantly lower than those in the control group,and GSH-PX was significantly higher than that in the control group(P＜0.05).The incidence of adverse reactions in the observation group and the control group during the treatment period was 17.5％(7/40)and 12.5％(5/40),respectively;and the difference in the incidence of adverse reactions between the two groups was not statistically significant(P＞0.05).Conclusion Semaglutide significantly downregulates the levels of FBG,2hPG and HbA1c in patients with T2DM combined with NAFLD and reduces the body mass,waist circumference,liver enzyme level,hepatic fat content,hepatic fibrosis,oxidative stress,and inflammatory indicators.

Objective To develope a clinical decision support system(CDSS)on insulin titration and validate its effectiveness and safety.Methods Eighty patients with type 2 diabetes mellitus treated at the Department of Endocrinology of the First Affiliated Hospital of Xinxiang Medical University from January 2021 to July 2023,who had difficulty in achieving glycemic control on the basis of lifestyle interventions and oral hypoglycemic drug treatments,were selected for the study.The patients were divided into the observation group and the control group using a random number table,with 40 cases in each group.Patients in both groups received oral metformin extended-release tablets,subcutaneous insulin degludec before bedtime,and subcutaneous aspartate insulin injection before three meals for glycemic control.Patients in the observation group were given insulin titration using the CDSS,and patients in the control group were given insulin titration using the conventional method.The retrospective continuous glucose monitoring system was used to monitor time in range(TIR)for glucose,mean amplitude of glycemic excursion(MAGE),mean blood glucose(MBG),standard deviation of blood glucose(SDBG),and the coefficient of variation(CV)of blood glucose.Fasting blood glucose(FBG),2-hour postprandial glucose(2hPG),length of hospitalization,time to achieve standard blood glucose control,and incidence of hypoglycemia of patients were recorded before and after treatment in the two groups.Results There was no significant difference in FBG and 2hPG of patients between the two groups before treat-ment(P＞0.05).The FBG and 2hPG levels of patients in the two groups were significantly lower than those before treatment(P＜0.05).The FBG and 2hPG levels of patients in the observation group were significantly lower than those in the control group after treatment(P＜0.05).TIR of patients in the observation group was significantly higher than that in the control group,while MAGE,MBG,SDBG,and CV were significantly lower than those in the control group after treatment(P＜0.05).The length of hospitalization was 9.0(7.3,10.0)days and 11.0(8.3,12.0)days of patients in the observation group and control group,respectively;and the length of hospitalization of patients in the control group was significantly longer than that in the observation group(Z=-2.408,P＜0.05).The time required to achieve glycemic control was 6.5(5.0,8.8)days and 7.5(6.0,10.0)days of patients in the observation group and control group,respectively;and the time required to achieve glycemic control of patients in the control group was significantly longer than that in the observation group(Z=-2.019,P＜0.05).The incidence of hypoglycemia of patients in the observation group and control group was 20.0％(8/40),12.5％(5/40),respectively;there was no significant difference in the incidence of hypoglycemia between the observation group and the control group(x2=0.827,P＞0.05).Conclusion Compared with the conventional titration of insulin,the application of CDSS can provide decision support during the implementation of a basal-meal insulin regimen,which can lead to more effective glycemic control,improved glucose TIR,reduced glycemic fluctuations,shorter time required for patients to achieve glycemic control,and shorter hospital stays without increasing the risk of hypoglycemia.

Autism spectrum disorder(ASD)is a pervasive neurodevelopmental disorder with onset in infancy or early childhood.Mendelian randomization(MR)is a statistical method used to infer causal relationships between exposures and outcomes.This article summarizes MR studies related to ASD.Existing research supports a causal relationship between maternal inflammatory bowel disease in children with ASD,parental education levels,screen time exposure,obesity,insomnia,serum transferrin,decreased blood selenium,abnormal signals in brain functional MRI,interleukin-6,phosphodiesterase 2A,mitogen-activated protein kinase kinase 3,mitochondrial ribosomal protein L33,serotonin,and ASD.However,it does not support a causal relationship between parental rheumatoid arthritis,systemic lupus erythematosus,neonatal jaundice in children with ASD,cytomegalovirus infection,asthma,oral ulcers,vitamin D levels,and ASD.This article reviews the etiological factors related to ASD and MR studies,aiming to explore and deepen the understanding of the pathophysiology of ASD.It provides strong statistical support for the prevention,diagnosis,and treatment of ASD,and offers new methods and strategies for the etiological analysis of complex traits.

Objective To explore the prediction of hospital indoor microbial concentration in air based on real-time indoor air environment monitoring data and machine learning algorithms.Methods Four locations in a hospital were selected as monitoring sampling points from May 23 to June 5,2022.The"internet of things"sensor was used to monitor a variety of real-time air environment data.Air microbial concentration data collected at each point were matched,and the gradient boosting decision tree(GBDT)was used to predict real-time indoor microbial concentra-tion in air.Five other common machine learning models were selected for comparison,including random forest(RF),decision tree(DT),k-nearest neighbor(KNN),linear regression(LR)and artificial neural network(ANN).The validity of the model was verified by the mean absolute error(MAE),root mean square error(RMSE)and mean absolute percentage error(MAPE).Results The MAPE value of GBDT model in the outpa-tient elevator room(point A),bronchoscopy room(point B),CT waiting area(point C),and nurses'station in the supply room(point D)were 22.49％,36.28％,29.34％,and 26.43％,respectively.The mean performance of the GBDT model was higher than that of other machine learning models at three sampling points and slightly lower than that of the ANN model at only one sampling point.The mean MAPE value of GBDT model at four sampling points was 28.64％,that is,the predicted value deviated from the actual value by 28.64％,indicating that GBDT model has good prediction results and the predicted value was within the available range.Conclusion The GBDT machine learning model based on real-time indoor air environment monitoring data can improve the prediction accuracy of in-door air microbial concentration in hospitals.

OBJECTIVE: To investigate the mechanism by which fibroblasts with high WNT2b expression causes intestinal mucosa barrier disruption and promote the progression of inflammatory bowel disease (IBD). METHODS: Caco-2 cells were treated with 20% fibroblast conditioned medium or co-cultured with fibroblasts highly expressing WNT2b, with the cells without treatment with the conditioned medium and cells co-cultured with wild-type fibroblasts as the control groups. The changes in barrier permeability of Caco-2 cells were assessed by measuring transmembrane resistance and Lucifer Yellow permeability. In Caco-2 cells co-cultured with WNT2b-overexpressing or control intestinal fibroblasts, nuclear entry of β-catenin was detected with immunofluorescence assay, and the expressions of tight junction proteins ZO-1 and E-cadherin were detected with Western blotting. In a C57 mouse model of dextran sulfate sodium (DSS)-induced IBD-like enteritis, the therapeutic effect of intraperitoneal injection of salinomycin (5 mg/kg, an inhibitor of WNT/β-catenin signaling pathway) was evaluated by observing the changes in intestinal inflammation and detecting the expressions of tight junction proteins. RESULTS: In the coculture system, WNT2b overexpression in the fibroblasts significantly promoted nuclear entry of β-catenin (P < 0.01) and decreased the expressions of tight junction proteins in Caco-2 cells; knockdown of FZD4 expression in Caco-2 cells obviously reversed this effect. In DSS-treated mice, salinomycin treatment significantly reduced intestinal inflammation and increased the expressions of tight junction proteins in the intestinal mucosa. CONCLUSION Intestinal fibroblasts overexpressing WNT2b causes impairment of intestinal mucosal barrier function and can be a potential target for treatment of IBD.
Humans ; Mice ; Animals ; Caco-2 Cells ; beta Catenin/metabolism* ; Culture Media, Conditioned/pharmacology* ; Tight Junctions/metabolism* ; Intestinal Mucosa ; Inflammatory Bowel Diseases ; Tight Junction Proteins/metabolism* ; Inflammation/metabolism* ; Fibroblasts/metabolism* ; Mice, Inbred C57BL ; Glycoproteins/metabolism* ; Wnt Proteins/pharmacology* ; Frizzled Receptors/metabolism*

With the recent ongoing autumn/winter 2022 COVID-19 wave and the adjustment of public health control measures, there have been widespread SARS-CoV-2 infections in Chinese mainland. Here we have analyzed 369 viral genomes from recently diagnosed COVID-19 patients in Shanghai, identifying a large number of sublineages of the SARS-CoV-2 Omicron family. Phylogenetic analysis, coupled with contact history tracing, revealed simultaneous community transmission of two Omicron sublineages dominating the infections in some areas of China (BA.5.2 mainly in Guangzhou and Shanghai, and BF.7 mainly in Beijing) and two highly infectious sublineages recently imported from abroad (XBB and BQ.1). Publicly available data from August 31 to November 29, 2022 indicated an overall severe/critical case rate of 0.035% nationwide, while analysis of 5706 symptomatic patients treated at the Shanghai Public Health Center between September 1 and December 26, 2022 showed that 20 cases (0.35%) without comorbidities progressed into severe/critical conditions and 153 cases (2.68%) with COVID-19-exacerbated comorbidities progressed into severe/critical conditions. These observations shall alert healthcare providers to place more resources for the treatment of severe/critical cases. Furthermore, mathematical modeling predicts this autumn/winter wave might pass through major cities in China by the end of the year, whereas some middle and western provinces and rural areas would be hit by the upcoming infection wave in mid-to-late January 2023, and the duration and magnitude of upcoming outbreak could be dramatically enhanced by the extensive travels during the Spring Festival (January 21, 2023). Altogether, these preliminary data highlight the needs to allocate resources to early diagnosis and effective treatment of severe cases and the protection of vulnerable population, especially in the rural areas, to ensure the country's smooth exit from the ongoing pandemic and accelerate socio-economic recovery.

The PRR11 gene (Proline Rich 11) has been implicated in lung cancer; however, relationship between PRR11 and immune infiltration is not clearly understood. In this study, we used The Cancer Genome Atlas (TCGA) data to analyze the lung adenocarcinoma patients; PRR11 gene expression, clinicopathological findings, enrichment, and immune infiltration were also studied. PRR11 immune response expression assays in lung adenocarcinoma (LUAD) were performed using TIMER, and statistical analysis and visualization were conducted using R software. All data were verified using Gene Expression Profiling Interactive Analysis (GEPIA), and the Human Protein Atlas (HPA). We found that PRR11 was an important prognostic factor in patients with LUAD. PRR11 expression was correlated with tumor stage and progression. Gene Set Enrichment Analysis (GSEA) showed that PRR11 was enriched in the cell cycle regulatory pathways. Immune infiltration analysis revealed that the number of T helper 2 (Th2) cells increased when PRR11 was overexpressed. These results confirm the role of PRR11 as a prognostic marker of lung adenocarcinoma by controlling the cell cycle and influencing the immune system to facilitate lung cancer progression.
Humans ; Prognosis ; Adenocarcinoma of Lung/genetics* ; Lung Neoplasms/genetics* ; Biological Assay ; Cell Cycle