Investigating the role of UBE2T in lung adenocarcinoma based on GEO database / 中国现代医生

@#Objective To investigate the role of ubiquitin binding enzyme EZT(UBE2T)in lung adenocarcinoma by integrating single-cell sequencing data with the TCGA database,in order to provide insights into the specific molecular mechanisms of UBE2T in lung adenocarcinoma.Methods Single-cell sequencing data was downloaded from the GEO database(GSE117570),and R language was used for quality control and analysis of the data.Additionally,online tools were employed to analyze lung adenocarcinoma-related data from the TCGA database.The potential target genes associated with UBE2T were identified by integrating TCGA and single-cell sequencing data.Results Differential analysis using the TCGA database successfully demonstrated that UBE2T could serve as an independent prognostic factor in lung adenocarcinoma,and it was correlated with poor patient outcomes.Integration of single-cell sequencing data revealed that UBE2T-associated genes were mainly distributed in mononuclear cells and T cells.Furthermore,analysis using the CancerSEA database suggested a close association between UBE2T and cell cycle regulation.Conclusion UBE2T may play a role in promoting the occurrence and development of lung adenocarcinoma through the regulation of the cell cycle.

Cell-loaded hydrogel microspheres based on droplet microfluidics: a review / 生物工程学报

Droplet microfluidics technology offers refined control over the flows of multiple fluids in micro/nano-scale, enabling fabrication of micro/nano-droplets with precisely adjustable structures and compositions in a high-throughput manner. With the combination of proper hydrogel materials and preparation methods, single or multiple cells can be efficiently encapsulated into hydrogels to produce cell-loaded hydrogel microspheres. The cell-loaded hydrogel microspheres can provide a three-dimensional, relatively independent and controllable microenvironment for cell proliferation and differentiation, which is of great value for three-dimensional cell culture, tissue engineering and regenerative medicine, stem cell research, single cell study and many other biological science fields. In this review, the preparation methods of cell-loaded hydrogel microspheres based on droplet microfluidics and its applications in biomedical field are summarized and future prospects are proposed.

Evaluation of automated digital cell morphology system for the detection of platelet clumps / 中华检验医学杂志

Objective:To evaluate the performance of the automated digital cell morphology instrument in detecting platelet (PLT) clumps.Methods:A total of 4271 blood samples whose PLT reached the reviewing rules of thrombocytopenia were selected from inpatients having blood analysis in Xijing Hospital from January 1 st to June 30 th, 2019, including 2 200 males and 2 071 females,with a median age of (35±7.03) years old. The smears for these cases were made, stained by Wright-Giemsa, and examined to capture PLT clumps by digital cell morphology system and manual microscope separately. The digital cell analysis system (hereinafter referred to as the instrument method) as an evaluation method and the microscope method as a reference method were used to calculate the positive rate of platelet clump detection and evaluate the comparison of two methods and bias assessments. The chi-square test was used to compare counting data rates. Results:Among 4, 271 samples reaching the reviewing rule of thrombocytopenia, 128 cases with platelet clumps were detected by manual microscope(initial) with a positive detection rate of 96.24%, and a total 133 of cases with PLT clumps were detected by microscope (initial+reconfirmation) with a positive detection rate of 100 %. Meanwhile, 129 cases with platelet clumps were detected by instrument method with a positive detection rate of 96.9%. There was no significant difference in terms of positive rate of PLT clumps detection between the instrumental method and the microscope method (initial) ( χ2 =0.115, P=0.73); the positive rate of clumps detection by the instrumental method was lower than microscope method (initial+reconfirmation), and the difference was statistically significant (χ 2 =4.061, P=0.04). For instrument method, the positive rate of PLT clumps detection by simultaneous observation of RBC analysis interface+PLT aggregation interface+WBC analysis interface was higher than only observation of PLT aggregation interface, and the difference was statistically significant (χ 2 =5.090, P=0.02). The average error of the deviation of PLT counting results before and after correction of the cases with PLT plumps missed by instrument method was significantly higher than microscope method (initial), and the difference was statistically significant (χ 2 =56.26, P<0.001). Conclusion:The automated digital cell morphology system has a good consistency with manual microscope(initial) in terms of the sensitivity of platelet clumps detection and can be used as a supplementary method for detecting platelet aggregation.

Application of single-cell RNA sequencing in melanoma research / 中华皮肤科杂志

Tumor heterogeneity is one of the important characteristics of melanoma. Single-cell RNA sequencing not only can further reveal the heterogeneity of melanoma cells, but also has unique advantages in analyzing the occurrence and development of melanoma, finding new targets for immunotherapy and uncovering mechanisms of drug resistance. This review summarizes the application of single-cell RNA sequencing in melanoma research.

Construction and validation of a prognostic risk model for bladder cancer based on single-cell RNA sequencing / 肿瘤研究与临床

Objective:To construct and validate a prognostic model for bladder cancer based on single-cell RNA sequencing (scRNA-seq) bioinformatics analysis of prognosis-related differential expression genes.Methods:The bladder cancer scRNA-seq datasets like GSE135337 and GSE129845 were downloaded from Gene Expression Omnibus (GEO) database, and the data were updated in 2022 and 2019; the expression profile and the survival data of 165 bladder cancer samples in the conventional transcriptome dataset GSE13507 (the data were updated in 2020) were downloaded. Expression profile data of 414 bladder cancer samples and 19 paracancerous samples and clinical information of 405 bladder cancer patients were downloaded from The Cancer Genome Atlas (TCGA) database. R 4.1.2 software was applied in the quality control and downscaling clustering of 10 bladder cancer single-cell samples selected from the GEO database and the cell annotation was made. The cellular communication of single cell data in the GEO database was analyzed by using CellChat. Univariate Cox proportion hazards model was used to analyze the differential expression genes related to prognosis of bladder cancer. The prognostic risk model was constructed by using LASSO-Cox regression analysis and the risk score was calculated. According to the median risk score, the bladder cancer patients in TCGA database were treated as the training set and all patients were divided into high‐risk group and low‐risk group. GSE13507 dataset in GEO database was used as the validation set, and the Kaplan-Meier method was used to compare the overall survival of the two groups in the TCGA training set and the GEO validation set; the time-dependent receiver operating characteristic (ROC) curves were used to evaluate the predictive efficacy of the prognostic risk model. R 4.1.2 software was used to construct the nomogram for predicting the 1-, 3- and 5-year overall survival rates of patients. Correlation analysis of risk score and clinical characteristics of bladder cancer patients in TCGA dataset was performed. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis and gene set enrichment analysis (GSEA) were performed.Results:In GSE135337 and GSE129845 datasets, a total of 50 263 cells were obtained after the filtration of quality control, including 43 519 uroepithelial cells. More interaction between uroepithelial cells and fibroblast could be found in the microenvironment of bladder cancer. Uroepithelial cells sent signals mainly through the midkine signaling pathway. Finally, 9 prognosis-related differential expression genes (SPINK1, FN1, EFEMP1, ELN, PCOLCE2, TUBA1A, COL14A1, TCF4, and TM4SF1) were screened and the prognostic risk model was constructed. The risk score was calculated as -0.019×SPINK1+0.028×FN1+0.025×EFEMP1+0.023×ELN+0.098×PCOLCE2+0.004×TUBA1A+0.047×COL14A1+ 0.004×TCF4+0.096×TM4SF1. Based on the median risk score (1.350), the overall survival of the high-risk group (≥1.350) was worse than that of the low-risk group (<1.350) in the training set and the valiation set. ROC curve analysis showed that the area under the curve (AUC) of 1-, 3- and 5-year overall survival rates in the training set and the validation set were larger than 0.65. Based on the age, staging and prognostic model risk score, a nomogram was constructed to predict the 1-, 3- and 5-year overall survival rates of patients, and its calibration curve was close to the ideal curve. The risk scores were elevated in patients aged more than 60 years old, M 1 in M staging, N 1, N 2 and N 3 in N staging, and stage Ⅲ and Ⅳ in TNM staging, and the differences were statistically significant (all P < 0.05) . Enrichment analysis showed that several significantly-enriched genes were associated with functions and pathways such as humoral immune response, granulocyte chemotaxis, cytokine-cytokine receptor interactions, and B-cell-mediated immunity. Conclusions:The stable prognostic prediction model for bladder cancer constructedbased on scRNA-seq data can provide a reference for clinical assessment of patients' prognosis.

Single-cell transcriptome reveals features of immune environment and mechanisms of immune escape in giant cell tumor of bone / 中华骨科杂志

Objective:This study aims to reveal the special immune infiltrating environment and possible immune escape mechanism of giant cell tumor of bone through single-cell sequencing data.Methods:The fresh samples obtained from 4 patients with primary giant cell tumor of bone from January 2018 to December 2021 were collected, and single-cell transcriptome sequencing was performed on the 10X platform to explore the characteristics and immune environment of giant cell tumor of bone by using t-distributed stochastic neighbor embedding ( t-SNE). The main cell types and signal pathways of immune cell regulation and function in giant cell tumor of bone were observed by cell communication analysis. Results:Cell clustering, the definition of basic cell types, the classification of immune cells, and the mutual regulatory relationship between cell types were analyzed for 35 643 single-cell data from 4 giant cell tumor samples of bone. It was found that giant cell tumor of bone was composed of 9 basic cell types, in which the immune cells were mainly CD8 + T cells (51%) and the non-immune cells were mainly fibroblast like spindle stromal cells (74%). The immune infiltration of giant cell tumor of bone is dominated by cytotoxic CD8 + T cells and lacks exhausted CD8 + T cells. CD4 + T cells are characterized by high expression of immune checkpoint genes CTLA4 and TIGIT. In giant cell tumor of bone, immune cells mainly act on multinucleated osteoclast like giant cells through PARs and CCL signaling pathways, but not stromal cells. Conclusion:This study defined the main cell types of giant cell tumor of bone through single cell sequencing data, and further revealed the composition characteristics of its immune infiltration, and found that the target of its immune cells was mainly multinuclear osteoclast like giant cells, which provided effective information for further understanding the occurrence and development of giant cell tumor of bone.

Research and application of tissue optical clearing technique / 中国组织工程研究

BACKGROUND: Whole-body cell analysis of organisms is one of the major challenges in biomedicine. Tissue optical clearing technique combined with optical imaging and image processing technique can make the whole organ or the body transparent rapidly for structural and cellular analyses, providing a very promising solution for the application of advanced optical technique in life science. OBJECTIVE: To analyze the principle and process of tissue optical clearing technique, to summarize the research progress of tissue optical clearing technique, to present imaging technology for tissue clearing, and to discuss the application of tissue optical clearing technique in biomedical researches. METHODS: The first author searched relevant literatures in PubMed database with the keywords of “tissue optical clearing technique, tissue optical clearing, whole-body imaging and 3D imaging”. A total of 168 articles were initially retrieved. After sorting and screening systematically, 72 literatures were included for analysis, summary and discussion. RESULTS AND CONCLUSION: Current tissue optical clearing protocols are divided into two groups: solvent-based clearing methods and hydrophilic reagent-based clearing methods. Tissue clearing is usually conducted by the following steps: (a) tissue fixation, (b) permeabilization, (c) decolorization, and (d) refractive index matching. Tissue optical clearing technique can rapidly transform tissue into an optically transparent form, improving imaging depth and contrast. Combined with microscope imaging techniques such as confocal, two-photon and light sheet microscopes, tissue clearing can achieve 3D imaging of the whole organ or body at cellular resolution, accelerating the process of whole-body cell analysis of organisms. Tissue optical clearing technique will continue to evolve in the future, promote the development of new clearing reagents and clearing optimized microscopes, further enhance the acquisition of structural and molecular information from intact systems and contribute to the comprehensive understanding of whole biological systems.

Effects of long-term exposure to strong electromagnetic radiation environment on the peripheral complete blood cells of operators / 解放军医学杂志

Objective To observe the effects of long-term exposure to strong electromagnetic environment on the peripheral complete blood cells of the operators. Methods A total of 239 male workers engaged in strong electromagnetic radiation operation for at least 1 year were consecutively raised between April and October 2019 as the exposed group, and 203 male workers no-exposed to strong electromagnetic equipment were raised as non-exposed group. Multipoint measurements were done of electromagnetic frequency and power density in electromagnetic radiation operation area, the differences of blood routine indexes between the exposed group and non-exposed group were compared, and the variation trend of difference index with increased exposure years was analyzed. Results No significant difference existed between the two groups in age, gender, work experience and body mass index (BMI). The electromagnetic frequency band in the operation area was between 5.5-2000 MHz, the maximum power density could reach up to 14 W/m2in the shielding point, and reach up to 535.17 W/m2in the open area. Compared with the non-exposed group, the levels of mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and mean platelet volume (MPV) were significantly elevated (P<0.05), while the red blood cell count (RBC) and haematocrit (HCT) was markedly reduced (P<0.05) in the exposed group. With the prolongation of the exposure time, the levels of RBC and HCT were relatively stable, but MCH, MCHC and MPV showed fluctuation from higher to lower level. Conclusions Long-term exposure to strong electromagnetic environment may lead to lower levels of red blood cells in related workers. Compensation may be achieved through hemoglobin elevation at early stage, which nevertheless weakens through hemoglobin reduction during the exposure time prolonged.

Single Cell RNA-Sequencing for the Study of Atherosclerosis

Atherosclerosis is a major cause of coronary artery disease and stroke. A massive and new type of data has finally arrived in the field of atherosclerosis: single cell RNA sequencing (scRNAseq). Recently, scRNAseq has been successfully applied to the study of atherosclerosis to identify previously uncharacterized cell populations. scRNAseq is an effective approach to evaluate heterogeneous cell populations by measuring the transcriptomic profiles at the single cell level. Besides the studies of atherosclerosis, scRNAseq is being employed in various areas of biology, including cancer research and organ development. In order to analyze these new massive datasets, various analytic approaches have been developed. This review aims to enhance the understanding of this new technology by exploring how the single cell transcriptome has been applied to the study of atherosclerosis and further discuss potential analysis of using scRNAseq.

Ganglion Cell Analysis in an Optic Tract Syndrome Patient Previously Diagnosed with Glaucoma

PURPOSE: To report the results of ganglion cell analysis in a patient with optic tract syndrome who was previously diagnosed with glaucoma. CASE SUMMARY: A 32-year-old male, who had been diagnosed with glaucoma 12 years ago, but had not visited an ophthalmology clinic since then, came to our clinic for evaluation of his glaucoma. Both eyes showed an increased cup-to-disc ratio and temporal pallor of the disc. Retinal nerve fiber layer (RNFL) optical coherence tomography showed thinning of the superior, inferior, and temporal peripapillary RNFL in both eyes. On ganglion cell analysis (GCA), ganglion cell layer thinning in the nasal region of the right eye and in the temporal region of the left eye was observed. The visual field test showed right incongruous homonymous hemianopsia. After the atrophic change of the left optic tract was confirmed by orbit magnetic resonance imaging, he was diagnosed with left optic tract syndrome. CONCLUSIONS: We report the results of GCA in a case of optic tract syndrome, previously diagnosed as glaucoma. GCA can be useful when diagnosing optic tract syndrome.

Evaluation of macular ganglion cell analysis compared to retinal nerve fiber layer thickness for preperimetric glaucoma diagnosis

Purpose: To compare the diagnostic ability of the ganglion cell analysis (GCA) and retinal nerve fiber layer (RNFL) protocol on optical coherence tomography (OCT), to diagnose preperimetric glaucoma. Methods: A prospective, cross-sectional study of 275 adult patients including 47 early glaucoma (mean deviation better than -6.0 D), 150 glaucoma suspects (106 with suspicious discs and 44 ocular hypertensive (OHT), and 78 normal controls was done. Eligible participants were scanned with the spectral domain CirrusTM OCT (Carl Zeiss Meditec, Dublin, CA). Average peripapillary RNFL thickness and GCA measurements were obtained. Area under receiver operating characteristic (AROC) curves were used to evaluate discriminant value of both protocols to diagnose likely preperimetric glaucoma among glaucoma suspects. Results: Average RNFL and GCA were significantly thinner in glaucoma patients compared to glaucoma suspects and normal controls (P < 0.001). The RNFL was 92.26 ± 8.8 ? in normal controls, 87.9 ± 12.12 ? in glaucoma suspects and significantly thinner in POAG (70.29 ± 10.18 ?; P < 0.001). The GCA was 81.94 ± 6.17 ? in normal controls, 77.69 ± 9.03 ? in glaucoma suspects, and significantly thinner in POAG (69.36 ± 11.06 ?; P < 0.001). AROCs for discriminating glaucoma suspects from normal were modest, with no difference in AROC of average RNFL or GCA measurements (DeLong; P = 0.93). Average RNFL thickness had significantly greater AROC values than average GCA for discriminating glaucoma suspects (both suspicious discs and OHT) from glaucoma (P = 0.03 and 0.05, respectively. AROC for diagnosing glaucoma was significantly better (P = 0.02) for RNFL (0.88 ± 0.03) than GCA (0.77 ± 0.04). Conclusion: In the present time, GCA measurements, as provided by the SD-OCT, do not appear to outperform RNFL measurements in the diagnosis of preperimetric glaucoma.

Progress of single-cell sequencing in hematological diseases / 白血病·淋巴瘤

In recent years, the single-cell sequencing sparked enormous explosion in medical research. At the 201759th American Society of Hematology (ASH) Annual Meeting, many studies with single-cell sequencing were reported from the topics of hematopoietic stem cells (HSC), acute leukemia, mature lymphoma, myeloid proliferative neoplasm etc. The article reviews the progress of single-cell sequencing in hematological diseases according to some reports from 59th ASH Annual Meeting.

Advances in tumor-endothelial cells co-culture and interaction on microfluidics / 药物分析学报

The metastasis in which the cancer cells degrade the extracellular matrix (ECM) and invade to the sur-rounding and far tissues of the body is the leading cause of mortality in cancer patients. With a lot of advancement in the field, yet the biological cause of metastasis are poorly understood. The microfluidic system provides advanced technology to reconstruct a variety of in vivo-like environment for studying the interactions between tumor cells (TCs) and endothelial cells (ECs). This review gives a brief account of both two-dimensional models and three-dimensional microfluidic systems for the analysis of TCs-ECs co-culture as well as their applications to anti-cancer drug screening. Furthermore, the advanced methods for analyzing cell-to-cell interactions at single-cell level were also discussed.

Metal/Matrix Enhanced Time-of-Flight Secondary Ion Mass Spectrometry for Single Cell Lipids Analysis / 分析化学

The chemical components analysis of single cell is important for understanding of physiological processes such as cell growth, signal transduction and apoptosis.Time-of-flight secondary ion mass spectrometry ( ToF-SIMS) is a sensitive surface analysis technique with high spatial resolution and can be used for single cell and micro-area analysis.However, relatively low ioniZation yield of biomolecules limited its wide application in single cell analysis.Herein, we used metal substrate and matrix material to enhance the ioniZation yield of lipids.The signal intensity of the phosphatidylcholine PC (40:0) casted on the matrix/gold coated silicon substrate was 65 times higher than that on the silicon wafer.Signal enhancement of phosphatidylcholine PC (34:1) on the single cell surface cultured on matrix/gold coated silicon substrate was observed as well.Due to the influence of irregular topography and complex chemical environment of cell, the increase of lipids signal was smaller.Delayed extraction mode of ToF-SIMS overcame the effects of cell topography, leading to further enhancement of the signal intensity of lipids.Meanwhile, simultaneous high spatial resolution of chemical imaging and high mass resolution of the mass spectra of single cells were obtained.Our strategies provided new insights into the study of cell metabolism and cell-environment interactions.

Genetics of Alzheimer's Disease

Alzheimer's disease (AD) related genes have been elucidated by advanced genetic techniques. Familial autosomal dominant AD genes founded by linkage analyses are APP, PSEN1, PSEN2, ABCA7, and SORL1. Genome-wide association studies have found risk genes such as ABCA7, BIN1, CASS4, CD33, CD2AP, CELF1, CLU, CR1, DSG2, EPHA1, FERMT2, HLA-DRB5-HLA-DRB1, INPP5D, MEF2C, MS4A6A/MS4A4E, NME8, PICALM, PTK2B, SLC24A4, SORL1, and ZCWPW1. ABCA7, SORL1, TREM2, and APOE are proved to have high odds ratio (>2) in risk of AD using next generation sequencing studies. Thanks to the promising genetic techniques such as CRISPR-CAS9 and single-cell RNA sequencing opened a new era in genetics. CRISPR-CAS9 can directly link genetic knowledge to future treatment. Single-cell RNA sequencing are providing useful information on cell biology and pathogenesis of diverse diseases.

Prognostic Value for the Risk Stratification of Circulating Monocyte Subsets Combining Left Ventricular Ejection Fraction in Patients With Acute ST-segment Elevation Myocardial Infarction / 中国循环杂志

Objective:To explore the prognostic value for circulating monocyte subsets combining left ventricular ejection fraction (LVEF) in patients with acute ST-segment elevation myocardial infarction (STEMI).Methods:STEMI patients admitted within 24 h of onset received PCI in Pingjin hospital heart center were enrolled.Flow cytometry (FCM) was used to examine 3 subsets of monocyte in peripheral blood as classical CD14++CD16-monocyte,intermediate CD14++CD16+ monocyte and non-classical CD14+CD16++ monocyte.The patients were followedup in 3 years for major adverse cardiac events (MACE) occurrence.The relationship between monocyte subsets,LVEF and MACE occurrence was studied by COX model analysis and MACE prediction model was established by ROC combining multivariate Logistic regression analysis.Results:There were 50/221 patients suffered from MACE during 3-year follow-up period.Compared with Non-MACE patients,MACE patients had the elder age (63.82±11.88) years vs (58.84±11.40) years,P=0.009;more diabetes mellitus (28.0％ vs 18.7％),P＜0.001;higher blood levels of LDL-C (2.77 mmol/L) vs (2.41 mmol/L),P=0.003 and CD14++CD16+ monocyte (47.17 cells/μl) vs (21.47 cells/μl),P＜0.001;lower LVEF (52％ vs 46％),P＜0.001.Multivariate Cox analysis indicated that CD14++CD16+ (HR=2.211,95％ CI 1.211-3.635,P=0.016) and LVEF (HR=2.014,95％ CI 1.038-2.933,P=0.022) were the independent risk factors for MACE occurrence in STEMI patients.ROC combining multivariate Logistic regression analysis presented that MACE predictive value of CD14++CD16+ monocyte combining LVEF (AUC=0.744,95％ CI 0.664-0.823,P＜0.001) was higher than the single value of CD14++CD16+ monocyte (AUC=0.683,95％ CI 0.598-0.768,P＜0.001) and LVEF(AUC=0.640,95％ CI 0.552-0.7291,P=0.003) respectively.Conclusion:Circulating level of CD14++CD16+ monocyte combining LVEF may predict MACE occurrence within 3 years in STEMI patients;it had potential value in clinical practice.

Prognostic Value for the Risk Stratification of Circulating Monocyte Subsets Combining Left Ventricular Ejection Fraction in Patients With Acute ST-segment Elevation Myocardial Infarction / 中国循环杂志

Objective:To explore the prognostic value for circulating monocyte subsets combining left ventricular ejection fraction (LVEF) in patients with acute ST-segment elevation myocardial infarction (STEMI).Methods:STEMI patients admitted within 24 h of onset received PCI in Pingjin hospital heart center were enrolled.Flow cytometry (FCM) was used to examine 3 subsets of monocyte in peripheral blood as classical CD14++CD16-monocyte,intermediate CD14++CD16+ monocyte and non-classical CD14+CD16++ monocyte.The patients were followedup in 3 years for major adverse cardiac events (MACE) occurrence.The relationship between monocyte subsets,LVEF and MACE occurrence was studied by COX model analysis and MACE prediction model was established by ROC combining multivariate Logistic regression analysis.Results:There were 50/221 patients suffered from MACE during 3-year follow-up period.Compared with Non-MACE patients,MACE patients had the elder age (63.82±11.88) years vs (58.84±11.40) years,P=0.009;more diabetes mellitus (28.0％ vs 18.7％),P＜0.001;higher blood levels of LDL-C (2.77 mmol/L) vs (2.41 mmol/L),P=0.003 and CD14++CD16+ monocyte (47.17 cells/μl) vs (21.47 cells/μl),P＜0.001;lower LVEF (52％ vs 46％),P＜0.001.Multivariate Cox analysis indicated that CD14++CD16+ (HR=2.211,95％ CI 1.211-3.635,P=0.016) and LVEF (HR=2.014,95％ CI 1.038-2.933,P=0.022) were the independent risk factors for MACE occurrence in STEMI patients.ROC combining multivariate Logistic regression analysis presented that MACE predictive value of CD14++CD16+ monocyte combining LVEF (AUC=0.744,95％ CI 0.664-0.823,P＜0.001) was higher than the single value of CD14++CD16+ monocyte (AUC=0.683,95％ CI 0.598-0.768,P＜0.001) and LVEF(AUC=0.640,95％ CI 0.552-0.7291,P=0.003) respectively.Conclusion:Circulating level of CD14++CD16+ monocyte combining LVEF may predict MACE occurrence within 3 years in STEMI patients;it had potential value in clinical practice.

Drug sensitivity assessment of pancreatic cancer cells by real-time cell analysis / 中国比较医学杂志

Objective To assess the drug sensitivity of pancreatic cancer cells based on real-time cell analysis and provide a reference for individualized diagnosis and treatment of pancreatic cancer.Methods Three human pancreatic cancer cells lines SW1900, Capan-2 and PANC-1 were selected and treated with gemcitabine hydrochloride and tegafur gimeracil oteracil potassium capsules, respectively.After 24 hours of culture, the cells were treated with the two drugs in gradient concentration.The cell growth curves before and after the drug administration was monitored using a real-time cells analyzer and the growth inhibition rates (IC50) of the drugs of the pancreatic cancer cells were calculated.At the same time, the cells in the cell culture plate were treated with the drug, and acridine orange/ethidium bromide (AO/EB) staining and laser scanning confocal microscopy were performed to observe the changes of cells after the drug administration.Results 72 hours after the drug administration, IC50 values for the three cell lines were different.The IC50 values of gemcitabine hydrochloride for SW1900, Capan-2 and PANC-1 cells were 1.69 μmol/L, 10.05 μmol/L and 12.74 μmol/L, respectively.The IC50 values of tegafur capsule for SW1900, Capan-2 and PANC-1 cells were 180.29 μmol/L, 765.70 μmol/L and 95.57μmol/L, respectively.AO/EB staining confirmed the reliability of IC50.Conclusions SW1900 and Capan-2 cells can be used as the control for gemcitabine hydrochloride and tegafur gimeracil oteracil potassium capsules to establish cell models for drug screening in vitro, which provides a reference for the application of the technology in anticancer drugs screening.

Performance of Automatic Blood Cell Analysis Parameters for Differential Diagnosis of Myelodysplastic Syndromes and Aplastic Anemia / 现代检验医学杂志

Objective To evaluate the performance of automated blood cell analysis parameters for differential diagnosis of myelodysplastic syndromes (MDS) and aplastic anemia (AA).Methods Data of automatic blood cell analysis parameters at diagnosis of confirmed patients with MDS and AA from December 2002 to February 2011 in Peking University Shenzhen Hospital were retrospectively reviewed.Results 33 cases of MDS and 36 cases of AA were recruited in this study.Based on the evaluable data,mean corpuscular hemoglobin concentration (MCHC) (328.58 ± 17.24 g/L vs 342.47±18.75 g/L,n=33/36) was significantly lower (P=0.002 1),while monocyte percentage (MONO％) (11.48±9.99 vs 6.94±2.50,n=32/34),platelet distribution width (PDW％) (13.51±4.24 vs 10.62±3.68,n=20/22) and platelet hematocrit (PCT％)(0.11 ±0.10 vs 0.04±0.07,n=11/15) were markedly higer (all P＜0.05) in patients with MDS than that of AA.No significantly differences for other blood cell analysis parameters were seen between patients with MDS and AA.Under the condition of best cut-off value,areas under the ROC curve of MCHC,MONO％,PDW and PCT were 0.706 (95％ confidence interval:0.584～0.809),0.666 (0.540～0.778),0.668 (0.506～0.805) and 0.745 (0.538～0.894) respectively.MONO％ and MCHC had high specificities (97.06％ and 88.89％) and positive predictive values (93.3％ and 80.0％) for differential diagnosis of MDS from AA.Conclusion MONO％ and MCHC may be used as simple indicators for differential diagnosis of MDS and AA.

Bioassay-guided separation of effective components from Gentianella acuta and their protective effect on oxidative damage in PC12 cells induced by H2O2 / 中草药

Objective: To investigate the compounds of Gentianella acuta with strong protective effect on oxidative damage in PC12 cells induced by H2O2. Methods: Damage model of PC12 cells was established by H2O2 and real-time cell analysis (RTCA) was utilized to evaluate the protective effect of extracts and compounds. Meanwhile, bioassay-guided method was applied to separating effective components, and HPLC was used for the determination and structure confirmation of compounds. Results: Fractions of n-butanol and acetic ether showed protective effect on oxidative damage in PC12 cells induced by H2O2. The anti-oxidant activity of compounds 1 and 2 showed dose-dependent manner in the scope of 3.125-50.000 μmol/L, and the protective effect was the strongest at the concentration of 50.000 μmol/L. Compounds 3 and 5 showed the best protective effect at the concentration of 25.000 μmol/L and 3.125 μmol/L respectively. Compounds 1, 2, 3, and 5 were identified as bellidifolin, demethylbellidifolin, swertianolin and norswertianolin, respectively. Conclusion: Compounds 1, 2, 3, and 5 show protective effect on oxidative damage in PC12 cells induced by H2O2, maybe the main active components in G. acuta. But the mechanism is still uncertain, and further exploration is imperative.