OBJECTIVE To analyze the risk factors contributing to piracetam-associated thrombocytopenia and develop a predictive model for risk prediction. METHODS The electronic medical record information of inpatients treated with piracetam was collected retrospectively from the First Affiliated Hospital of Guangxi Medical University from January 2021 to December 2023， including gender， age， underlying diseases， combined medication， and laboratory data， etc. Patients were divided into the occurrence group and the non-occurrence group according to whether thrombocytopenia occurred， and the differences in clinical data between the two groups were compared. The independent risk factors were determined through univariate/multivariate Logistic regression analysis. A nomogram was drawn to visually present the independent risk factors， and a risk prediction model was constructed. The predictive efficacy of the model was evaluated using the receiver operating characteristic （ROC） curve， Bootstrap internal validation and calibration curve. RESULTS A total of 224 patients were included， among which 196 cases were in the non- occurrence group and 28 cases in the occurrence group. The incidence of thrombocytopenia was 12.50%. The results of the univariate Logistic regression analysis showed that the proportion of patients using three or more combined antibiotics and the level of serum creatinine in the occurrence group were significantly higher than those in the non-occurrence group， while the level of hemoglobin was significantly lower （P＜0.05）. The results of the multivariate Logistic regression analysis revealed that the use of three or more combined antibiotics， low hemoglobin level and high serum creatinine level were independent risk factors for piracetam-associated thrombocytopenia （P＜0.05）. The constructed risk prediction model was LogitP＝ －1.114+1.256×three or more combined antibiotics－0.017×hemoglobin level+0.009×serum creatinine level. The AUC of the ROC curve of this model was 0.757， and the optimal cut-off value was 0.474； the AUC of the ROC curve of the Bootstrap internal validation was 0.733； the apparent curve and the bias-corrected curve were close to the ideal curve. CONCLUSIONS The use of three or more antibiotics， along with low hemoglobin level and high serum creatinine level， are identified as independent risk factors for piracetam-associated thrombocytopenia. The developed risk prediction model demonstrates good predictive value.

Objective·To investigate the expression of serpin family E member 1(SERPINE1)in gastric cancer and its potential mechanisms in promoting gastric cancer.Methods·Pan-cancer analysis of SERPINE1 was performed by using the TIMER2.0 online website,and the differences in the expression of SERPINE1 in samples with different tumor stages of gastric cancer were analysed by the clinical data of gastric cancer from The Cancer Genome Atlas(TCGA)database.Survival curves were plotted.Quantitative real-time PCR(qRT-PCR)was used to detect mRNA expression in paired samples of clinical gastric cancer tissues.The small interfering RNA(siRNA)transfection technique was used to knock down the expression of SERPINE1 in MGC-803 and SGC-7901 gastric cancer cell lines,and the migration and invasive abilities of gastric cancer cells were investigated by Transwell and invasion chamber experiments.The effects of SERPINE1 knockdown on the angiogenesis of gastric cancer cells were further explored by the migration assay of human umbilical vein endothelial cells(HUVEC)and tubule formation assay of HUVECs.The Gene Expression Omnibus(GEO)dataset was used for differential gene analysis in high and low expression groups based on the median value of SERPINE1 expression.The differentially expressed genes were further analyzed by Kyoto Encyclopedia of Genes and Genomes(KEGG)analysis and Gene Set Enrichment Analysis(GSEA).qRT-PCR was performed to verify the expression levels of key genes related to epithelial-mesenchymal transition(EMT)and angiogenesis.Results·Bioinformatics analysis showed that SERPINE1 was highly overexpressed in a variety of primary tumour tissues,including gastric cancer.SERPINE1 gene expression increased with increasing tumour stage(P<0.001),and increased expression of SERPINE1 was associated with poor prognosis of gastric cancer(P<0.001).qRT-PCR results showed that SERPINE1 was significantly highly expressed in gastric cancer tissues(P=0.038).After knocking down SERPINE1,gastric cancer cell lines MGC-803 and SGC-7901 cells had decreased migration and invasion(P<0.05).Gastric cancer culture supernatants from the SERPINE1-knockdown gastric cancer cell line reduced angiogenesis in HUVECs(P<0.05).Differential genes in gastric cancer patients in the SERPINE1 high-expression group in the GEO database were enriched in cancer-related pathways such as focal adhesion,extracellular matrix receptor interaction,and angiogenesis-related pathways like angiogenesis and the vascular endothelial growth factor(VEGF)signalling pathway.The expression of SERPINE1 was negatively correlated with cadherin 1(CDH1),and positively correlated with other key genes related to EMT and angiogenesis.Moreover,the expression levels of key genes related to EMT and angiogenesis detected by qRT-PCR in SERPINE1 knockdown gastric cancer cell lines(P<0.05),were consistent with the correlation analysis results mentioned above.Conclusion·SERPINE1 expression is elevated in gastric cancer tissues,which could regulate the expression levels of key genes related to EMT and angiogenesis to promote the migration,invasion and angiogenesis of gastric cancer cells.

Objective·To investigate the expression of serpin family E member 1(SERPINE1)in gastric cancer and its potential mechanisms in promoting gastric cancer.Methods·Pan-cancer analysis of SERPINE1 was performed by using the TIMER2.0 online website,and the differences in the expression of SERPINE1 in samples with different tumor stages of gastric cancer were analysed by the clinical data of gastric cancer from The Cancer Genome Atlas(TCGA)database.Survival curves were plotted.Quantitative real-time PCR(qRT-PCR)was used to detect mRNA expression in paired samples of clinical gastric cancer tissues.The small interfering RNA(siRNA)transfection technique was used to knock down the expression of SERPINE1 in MGC-803 and SGC-7901 gastric cancer cell lines,and the migration and invasive abilities of gastric cancer cells were investigated by Transwell and invasion chamber experiments.The effects of SERPINE1 knockdown on the angiogenesis of gastric cancer cells were further explored by the migration assay of human umbilical vein endothelial cells(HUVEC)and tubule formation assay of HUVECs.The Gene Expression Omnibus(GEO)dataset was used for differential gene analysis in high and low expression groups based on the median value of SERPINE1 expression.The differentially expressed genes were further analyzed by Kyoto Encyclopedia of Genes and Genomes(KEGG)analysis and Gene Set Enrichment Analysis(GSEA).qRT-PCR was performed to verify the expression levels of key genes related to epithelial-mesenchymal transition(EMT)and angiogenesis.Results·Bioinformatics analysis showed that SERPINE1 was highly overexpressed in a variety of primary tumour tissues,including gastric cancer.SERPINE1 gene expression increased with increasing tumour stage(P<0.001),and increased expression of SERPINE1 was associated with poor prognosis of gastric cancer(P<0.001).qRT-PCR results showed that SERPINE1 was significantly highly expressed in gastric cancer tissues(P=0.038).After knocking down SERPINE1,gastric cancer cell lines MGC-803 and SGC-7901 cells had decreased migration and invasion(P<0.05).Gastric cancer culture supernatants from the SERPINE1-knockdown gastric cancer cell line reduced angiogenesis in HUVECs(P<0.05).Differential genes in gastric cancer patients in the SERPINE1 high-expression group in the GEO database were enriched in cancer-related pathways such as focal adhesion,extracellular matrix receptor interaction,and angiogenesis-related pathways like angiogenesis and the vascular endothelial growth factor(VEGF)signalling pathway.The expression of SERPINE1 was negatively correlated with cadherin 1(CDH1),and positively correlated with other key genes related to EMT and angiogenesis.Moreover,the expression levels of key genes related to EMT and angiogenesis detected by qRT-PCR in SERPINE1 knockdown gastric cancer cell lines(P<0.05),were consistent with the correlation analysis results mentioned above.Conclusion·SERPINE1 expression is elevated in gastric cancer tissues,which could regulate the expression levels of key genes related to EMT and angiogenesis to promote the migration,invasion and angiogenesis of gastric cancer cells.

Colorectal cancer (CRC) represents a significant global health challenge as a common malignancy of the digestive tract. The involvement of B vitamins—specifically folic acid (B9), riboflavin (B2), pyridoxine (B6), and cobalamin (B12)—is crucial in metabolic processes by mediating the transfer of one-carbon (1C) units, which plays a fundamental role in cellular functions and tumor growth. 1C metabolism is involved in synthesis of proteins, lipids, nucleic acids, and other cofactors. 1C metabolism, intertwined with the metabolism of other nutrients, forms complex pathways where B vitamins act as precursors or coenzymes, influencing the production of various intermediates. These vitamins, as essential nutrients, are implicated to varying the pathogenesis and progression of colorectal cancer such as epigenetics. Furthermore, 1C metabolism affects tumor cell fate through multiple aspects including nucleotide synthesis, redox homeostasis, and the interaction with gut microbiota. Given these roles, understanding and monitoring B vitamin levels and their metabolic pathways are essential for colorectal cancer prevention and management. This approach not only helps in reducing tumor-related mortality but also opens new avenues for research into CRC mechanisms and potential therapeutic strategies.

Objective To investigate the changes and predictive value of Omentin-1 levels in patients with type 2 diabetes mellitus(T2DM)under different bone metabolic status.Methods A total of 120 T2DM pa-tients admitted to a hospital from June 2021 to December 2022 were selected and divided into group A(normal bone mass,T-value-1.0,36 cases),Group B(bone loss,-2.5＜T-value＜-1.0,49 cases)and group C(osteoporosis,T-value-2.5,35 cases)according to different bone mineral density.Another 50 healthy sub-jects who underwent physical examination in a hospital during the same period were selected as the healthy control group.Basic data,serum Omentin-1 and bone metabolism levels of the 4 groups were compared,and the correlation between serum Omentin-1 and bone metabolism and blood glucose levels was analyzed by Pear-son correlation analysis.Multiple stepwise regression analysis was conducted to analyze the factors affecting bone mineral density in T2DM patients.Receiver operating characteristic(ROC)curve was drawn to analyze the predictive value of serum Omentin-1 level in T2DM with osteoporosis.Results The fasting blood glucose(FBG)level of groups A,B and C was higher than that of healthy control group,and the hemoglobin A1c(HbA1c)and homeostasis model assessment of insulin resistance(HOMA-IR)of healthy control group,group A and group B were lower than that of group C,with statistical significance(P＜0.05).Omentin-1,type Ⅰ procollagen N-terminal propeptide(P Ⅰ NP)and osteocalcin(BGP)in healthy control group,group A and group B were higher than those in group C,while the β-CTX sequence of type Ⅰ collagen in healthy con-trol group,group A and group B was lower than that in group C,and the difference was statistically signifi-cant(P＜0.05).Pearson correlation analysis showed that the serum Omentin-1 level in T2DM patients was negatively correlated with the levels of HbA1c,HOMA-IR and β-CTX(r=-0.770,-0.807,-0.759,P＜0.05),and positively correlated with the levels of P Ⅰ NP and BGP(r=0.868,0.879,P＜0.05),but no sig-nificant correlation with FBG level(r=-0.085,P=0.152).Omentin-1,P Ⅰ NP,β-CTX,BGP,HbA1c and HOMA-IR were independent influencing factors of BMD in T2DM patients(P＜0.05).ROC curve analysis showed that the area under the curve of serum Omentin-1 level predicting T2DM with osteoporosis was 0.835(95％CI:0.764-0.906),and when the cut-off value was 50.325 ng/mL,the sensitivity was 0.854,the speci-ficity was 0.801,and the Youden index was 0.655.Conclusion Serum Omentin-1 expression is low in T2DM patients,and its expression is closely related to bone mineral density,bone metabolism and insulin resistance in T2DM patients,and can effectively predict the occurrence of T2DM with osteoporosis.

Colorectal cancer (CRC) represents a significant global health challenge as a common malignancy of the digestive tract. The involvement of B vitamins—specifically folic acid (B9), riboflavin (B2), pyridoxine (B6), and cobalamin (B12)—is crucial in metabolic processes by mediating the transfer of one-carbon (1C) units, which plays a fundamental role in cellular functions and tumor growth. 1C metabolism is involved in synthesis of proteins, lipids, nucleic acids, and other cofactors. 1C metabolism, intertwined with the metabolism of other nutrients, forms complex pathways where B vitamins act as precursors or coenzymes, influencing the production of various intermediates. These vitamins, as essential nutrients, are implicated to varying the pathogenesis and progression of colorectal cancer such as epigenetics. Furthermore, 1C metabolism affects tumor cell fate through multiple aspects including nucleotide synthesis, redox homeostasis, and the interaction with gut microbiota. Given these roles, understanding and monitoring B vitamin levels and their metabolic pathways are essential for colorectal cancer prevention and management. This approach not only helps in reducing tumor-related mortality but also opens new avenues for research into CRC mechanisms and potential therapeutic strategies.

Green analytical chemistry (GAC) focuses on mitigating the adverse effects of analytical activities on human safety, human health, and environment. In addition to the 12 principles of GAC, proper GAC tools should be developed and employed to assess the greenness of different analytical assays. The 15 widely used GAC metrics, i.e., national environmental methods index (NEMI), advanced NEMI, assessment of green profile (AGP), chloroform-oriented toxicity estimation scale (ChlorTox Scale), Analytical Eco-Scale, Green Certificate Modified Eco-Scale, analytical method greenness score (AMGS), green analytical procedure index (GAPI), ComplexGAPI, red-green-blue (RGB) additive color model, RGB 12 algorithm, analytical greenness calculator (AGREE), AGREE preparation (AGREEprep), HEXAGON, and blue applicability grade index (BAGI), are selected as the typical tools. This article comprehensively presents and elucidates the principles, characteristics, merits, and demerits of 15 widely used GAC tools. This review is helpful for researchers to use the current GAC metrics to assess the environmental sustainability of analytical assays.

Green analytical chemistry(GAC)focuses on mitigating the adverse effects of analytical activities on human safety,human health,and environment.In addition to the 12 principles of GAC,proper GAC tools should be developed and employed to assess the greenness of different analytical assays.The 15 widely used GAC metrics,i.e.,national environmental methods index(NEMI),advanced NEMI,assessment of green profile(AGP),chloroform-oriented toxicity estimation scale(ChlorTox Scale),Analytical Eco-Scale,Green Certificate Modified Eco-Scale,analytical method greenness score(AMGS),green analytical pro-cedure index(GAPI),ComplexGAPI,red-green-blue(RGB)additive color model,RGB 12 algorithm,analytical greenness calculator(AGREE),AGREE preparation(AGREEprep),HEXAGON,and blue appli-cability grade index(BAGI),are selected as the typical tools.This article comprehensively presents and elucidates the principles,characteristics,merits,and demerits of 15 widely used GAC tools.This review is helpful for researchers to use the current GAC metrics to assess the environmental sustainability of analytical assays.

OBJECTIVES: To investigate the effects of propofol on the proliferation and invasion of glioma U87 cells and to explore the possible anti-tumor mechanisms. METHODS: The glioma U87 cells was divided into a blank group, a positive control group, and the propofol groups (1.00, 2.00 or 5.00 mmol/L). Cell counting kit-8 (CCK-8) was used to detect cell proliferation; Transwell method was used to detect the effect of propofol on invasion and migration of U87 cells; real-time PCR was used to detect the expression of microRNA-134 (miR-134); Western blotting was used to detect the expression levels of reproduction-related protein Ki-67, invasion-related protein metalloproteinase-2 (MMP-2), metalloproteinase-9 (MMP-9) and phosphatidylinositol 3 kinase (PI3K)/protein kinase B (Akt) signaling pathway-related protein. RESULTS: Compared with the blank group, the proliferation, invasion and migration capacity of U87 cells were reduced in the positive control group and the propofol groups after 48 hours (all CONCLUSIONS Propofol can decrease the proliferation rate, and the invasion and migration abilities of U87 cells, which may be achieved by up-regulation of miR-134 and suppression of PI3K/Akt signaling pathway.
Cell Line, Tumor ; Cell Movement ; Cell Proliferation ; Glioma/genetics* ; Humans ; Matrix Metalloproteinase 2/genetics* ; MicroRNAs/genetics* ; Phosphatidylinositol 3-Kinases/genetics* ; Propofol/pharmacology* ; Proto-Oncogene Proteins c-akt/genetics*

Objective: To describe the characteristics of clinical manifestations and epidemiology of children with 2019 novel coronavirus (2019-nCoV) infection. Methods: All 34 children with laboratory-confirmed 2019-nCoV infection by quantitative real-time reverse transcription-PCR through nasopharyngeal swab specimens were admitted to the Third People’s Hospital of Shenzhen from January 19 to Febuary 7, 2020. Clinical data and epidemiological history of these patients were retrospectively collected and analyzed. Results: Among the 34 cases, 14 were males, and 20 were females. The median age was 8 years and 11 months. No patients had underlying diseases. There were 28 children (82%) related with a family cluster outbreak. There were 26 children (76%) with a travel or residence history in Hubei Province. These patients could be categorized into different clinical types, including 22 (65%) common cases, 9 (26%) mild cases and 3 (8.8%) asymptomatic cases. No severe or critical cases were identified. The most common symptoms were fever (17 cases, 50%) and cough (13 cases, 38% ). In the 34 cases, the white blood cell counts of 28 cases (82%) were normal. Five cases had white blood cell counts more than 10×10⁹/L. One case had white blood cell counts less than 4×10⁹/L. Neutropenia and lymphopenia was found in one case, respectively. C-reactive protein levels and erythrocyte sedimentation rates were elevated in 1 and 5 case, respectively. Elevated procalcitonin was found in 1 case and D-Dimer in 3 cases. The levels of lactic dehydrogenase (LDH) were more than 400 U/L in 10 cases. The CT images of these patients showed bilateral multiple patchy or nodular ground-glass opacities and/or infiltrating shadows in middle and outer zone of the lung or under the pleura. Twenty patients were treated with lopinavir and ritonavir. Glucocorticoids and immunoglobulin were not used in any cases. All the cases improved and were discharged from hospital. Further following up was need. Conclusions The clinical manifestations in children with 2019-nCoV infection are non-specific and are milder than that in adults. Chest CT scanning is heplful for early diagnosis. Children's infection is mainly caused by family cluster outbreak and imported cases. Family daily prevention is the main way to prevent 2019-nCoV infection.