[Expression Levels and Regulation of Selenoprotein Genes in Patients With Coronavirus Disease 2019].

Objective To investigate the expression levels of selenoprotein genes in the patients with coronavirus disease 2019 (COVID-19) and the possible regulatory mechanisms.Methods The dataset GSE177477 was obtained from the Gene Expression Omnibus,consisting of a symptomatic group (n=11),an asymptomatic group (n=18),and a healthy control group (n=18).The dataset was preprocessed to screen the differentially expressed genes (DEG) related to COVID-19,and gene ontology functional annotation and Kyoto encyclopedia of genes and genomes enrichment analysis were performed for the DEGs.The protein-protein interaction network of DEGs was established,and multivariate Logistic regression was employed to analyze the effects of selenoprotein genes on the presence/absence of symptoms in the patients with COVID-19.Results Compared with the healthy control,the symptomatic COVID-19 patients presented up-regulated expression of GPX1,GPX4,GPX6,DIO2,TXNRD1,SELENOF,SELENOK,SELENOS,SELENOT,and SELENOW and down-regulated expression of TXNRD2 and SELENON (all P<0.05).The asymptomatic patients showcased up-regulated expression of GPX2,SELENOI,SELENOO,SELENOS,SELENOT,and SELENOW and down-regulated expression of SELP (all P<0.05).The results of multivariate Logistic regression analysis showed that the abnormally high expression of GPX1 (OR=0.067,95%CI=0.005-0.904,P=0.042) and SELENON (OR=56.663,95%CI=3.114-856.999,P=0.006) was the risk factor for symptomatic COVID-19,and the abnormally high expression of SELP was a risk factor for asymptomatic COVID-19 (OR=15.000,95%CI=2.537-88.701,P=0.003).Conclusions Selenoprotein genes with differential expression are involved in the regulation of COVID-19 development.The findings provide a new reference for the prevention and treatment of COVID-19.

[A Prediction Model for Human Immunodeficiency Virus Infection and Mother-to-Child Transmission Based on the Expression Levels of Selenoprotein Genes].

Objective To study the expression of selenoprotein genes in human immunodeficiency virus(HIV)infection and its mother-to-child transmission,so as to provide a theoretical basis for the prevention,diagnosis,and treatment of acquired immunodeficiency syndrome.Methods The dataset GSE4124 was downloaded from the Gene Expression Omnibus(GEO).Two groups of HIV-positive mothers(n=25)and HIV-negative mothers(n=20)were designed.HIV-positive mothers included a subset of transmitter(TR)mothers(n=11)and non-transmitter(NTR)mothers(n=14).Then,t-test was carried out to compare the expression levels of selenoprotein genes between the four groups(HIV-positive vs. HIV-negative,NTR vs. HIV-negative,TR vs. HIV-negative,TR vs. NTR).Univariate and multivariate Logistic regression were adopted to analyze the effects of differentially expressed genes on HIV infection and mother-to-child transmission.R software was used to establish a nomogram prediction model and evaluate the model performance.Results Compared with the HIV-negative group,HIV-positive,NTR,and TR groups had 8,5 and 8 down-regulated selenoprotein genes,respectively.Compared with the NTR group,the TR group had 4 down-regulated selenoprotein genes.Univariate Logistic regression analysis showed that abnormally high expression of GPX1,GPX3,GPX4,TXNRD1,TXNRD3,and SEPHS2 affected HIV infection and had no effect on mother-to-child transmission.The multivariate Logistic regression analysis showed that the abnormally high expression of TXNRD3(OR=0.032,95%CI=0.002-0.607,P=0.022)was positively correlated with HIV infection.As for the nomogram prediction model,the area under the receiver-operating characteristic curve for 1-year survival of HIV-infected patients was 0.840(95%CI=0.690-1.000),and that for 3-year survival of HIV-infected patients was 0.870(95%CI=0.730-1.000).Conclusions Multiple selenoprotein genes with down-regulated expression levels were involved in the regulation of HIV infection and mother-to-child transmission.The abnormal high expression of TXNRD3 was positively correlated with HIV infection.The findings provide new ideas for the prevention,diagnosis,and treatment of acquired immunodeficiency syndrome.

Pan-Cancer Study of the Prognosistic Value of Selenium Phosphate Synthase 1.

Objective: This study sought to determine the mean prognostic usefulness of seleniumphosphate synthase (SEPHS1) by investigating its expression in 33 human malignancies and its relationship to tumor immunity.Methods: The expression of selenophosphate synthase 1 (SEPHS1) in 33 human malignant tumors was examined using the Genotype-Tissue Expression (GTEx), Cancer Genome Atlas (TCGA), and TIMER databases. Furthermore, the TCGA cohort was used to investigate relationships between SEPHS1 and immunological checkpoint genes (ICGs), tumor mutation burden (TMB), microsatellite instability (MSI), and DNA mismatch repair genes (MMRs). To establish independent risk factors and calculate survival probabilities for liver hepatocellular carcinoma (LIHC) and brain lower-grade glioma (LGG), Cox regression models and Kaplan-Meier curves were utilized. Eventually, the Genomics of Cancer Drug Sensitivity (GDSC) database was used to evaluate the drug sensitivity in LGG and LIHC patients with high SEPHS1 expression.Results: Overall, in numerous tumor tissues, SEPHS1 was highly expressed, and it significantly linked with the prognosis of LGG, ACC, and LIHC (P < .05). Furthermore, in numerous cancers, SEPHS1 expression was linked to tumor-infiltrating immune cells (TIICs), TMB, MSI, and MMRs. According to univariate and multivariate Cox analyses, SEPHS1 expression was significant for patients with LGG and LIHC.Conclusion: High SEPHS1 expression has a better prognosis for LGG, while low SEPHS1 expression has a better prognosis for LIHC. Chemotherapy was advised for LGG patients, particularly for those with high SEPHS1 expression because it can predict how responsive patients will be to 5-Fluorouracil and Temozolomide. This interaction between SEPHS1 and chemoradiotherapy has a positive clinical impact and may be used as evidence for chemotherapy for LGG and LIHC patients.

Biological Functions of Selenoprotein Iodothyronine Deiodinase and its Expression in Osteoarthritis.

Objective Iodothyronine deiodinases (DIOs) are important selenoproteins that play a key role in the bone and joint diseases. Osteoarthritis (OA) is the most prevalent joint disease especially in elders. This bioinformatic analysis was performed to explore the role of DIOs in OA pathogenesis. Methods The biological functions of selenoprotein DIOs were analyzed by bioinformatic techniques, including GenCLip 3.0, Database for Annotation, Visualization and Integrated Discovery (DAVID), STRING, Cytoscape, and Network Analyst. The expression of DIOs in the healthy individuals and OA patients was determined by mining OA-related microarray data in the gene expression omnibus (GEO) database of National Center for Biotechnology Information and performing a Meta-analysis of the data with Review Manager 5.3. Results Cluster analysis revealed that the function of the DIOs was associated with thyroid hormone receptor and iodothyronine; GO analysis showed that DIOs were mainly involved in biological processes, such as ethanol metabolism and phenol-containing compound metabolism and primarily involved in the cytochrome P450 metabolism of exogenous organisms and thyroid hormone signaling; SULT1A1 was the core node of the PPI network; miRNAs and thyroid hormones had some iterations with DIO1and DIO2; Meta-analysis showed that DIO3 expression was significantly up-regulated in OA patients (SMD = 0.31, 95%CI: 0.03, 0.59, P = 0.03). Conclusions The main biological functions of DIOs were closely associated with the regulation of thyroid hormone. And the up-regulated expression of DIO3 may have crucial impact on the occurrence of OA.

[Expression of Glutathione Peroxidases and Its Effect on Clinical Prognosis in Glioma Patients].

Objective To investigate the relationship between the expression of glutathione peroxidase(GPX)genes and the clinical prognosis in glioma patients,and to construct and evaluate the model for predicting the prognosis of glioma. Methods The clinical information and GPX expression of 663 patients,including 153 patients of glioblastoma(GBM)and 510 patients of low-grade glioma(LGG),were obtained from The Cancer Genome Atlas(TCGA)database.The relationship between GPX expression and patient survival was analyzed.The key GPX affecting the prognosis of glioma was screened out by single- and multi-factor Cox's proportional-hazards regression models and validated by least absolute shrinkage and selection operator(Lasso)regression.Finally,we constructed the model for predicting the prognosis of glioma with the screening results and then used concordance index and calibration curve respectively to evaluate the discrimination and calibration of model. Results Compared with those in the control group,the expression levels of GPX1,GPX3,GPX4,GPX7,and GPX8 were up-regulated in glioma patients(all P<0.001).Moreover,the expression levels of other GPX except GPX3 were higher in GBM patients than in LGG patients(all P<0.001).The Kaplan-Meier curves showed that the progression-free survival of GBM with high expression of GPX1(P=0.013)and GPX4(P=0.040),as well as the overall survival,disease-specific survival,and progression-free survival of LGG with high expression of GPX1,GPX7,and GPX8,was shortened(all P<0.001).GPX7 and GPX8 were screened out as the key factors affecting the prognosis of LGG.The results were further used to construct a nomogram model,which suggested GPX7 was the most important variable.The concordance index of the model was 0.843(95%CI=0.809-0.853),and the calibration curve showed that the predicted and actual results had good consistency. Conclusion GPX7 is an independent risk factor affecting the prognosis of LGG,and the nomogram model constructed with it can be used to predict the survival rate of LGG.

Crosstalk between CpG Methylation and Polymorphisms (CpG-SNPs) in the Promotor Region of DIO2 in Kashin-Beck Disease.

Objective This study was designed to determine the methylation profile of four CpGs and the genotypes of two CpG-SNPs located in promoter region of DIO2 in patients with Kashin-Beck disease (KBD). We also analyzed the interaction between the CpGs methylations and CpG-SNPs. Methods Whole blood specimens were collected from 16 KBD patients and 16 healthy subjects. Four CpGs and two CpG-SNPs in the promoter regions of DIO2 were detected using matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF-MS). The CpGs methylation levels were compared between samples from KBD patients and healthy subjects. The methylation levels were also analyzed in KBD patients with different CpG-SNP genotypes. Results The mRNA expression of DIO2 in whole blood of KBD patients was significnatly lower than in healthy controls (P <0.05). The methylation levels of DIO2-1_CpG_3 in KBD patients were significantly higher than those in healthy controls (P <0.05). The methylation levels of four CpGs were not significantly different between KBD patients and healthy controls. The methylation level of DIO2-1_CpG_3 in the promoter region of DIO2 in KBD patients with GA/AA genotype was significantly higher than that of KBD patients with GG genotype (P <0.05). Conclusion The methylation level of DIO2 increases in KBD patients. Similar trends exist in KBD carriers of variant genotypes of CpG-SNPs DIO2 rs955849187.

[Expression and Regulatory Mechanism of Autophagy-related Genes in Synovial Tissues of Patients with Rheumatoid Arthritis].

Objective To investigate the expression regulation of autophagy-related genes(ATG)and the mechanism of autophagy in rheumatoid arthritis(RA).Methods The differentially expressed genes(DEG)of RA were identified from GSE55235 and GSE55457,on the basis of which the differentially expressed autophagy-related genes(DE-ATG)were selected from the Human Autophagy Database.STRING 11.0 and GeneMANIA were used to establish protein-protein interaction networks.Further,the transcription factor-gene-miRNA co-expression network was established via NetworkAnalyst and Cytoscape.Finally,receiver operating characteristic(ROC)curve and DrugBank were employed to evaluate the efficacy of the predicted biomarkers and the performance of drugs targeting DE-ATG.GraphPad Prism 8.2.1 and R 4.0.3 were used for statistical analysis and graphics.Results A total of 485 DEG were enriched in signaling pathways such as T cell activation,hormone regulation,osteoclast differentiation,RA,and chemokines.Eleven DE-ATG regulated the expression of RUNX1,TP53,SOX2,and hsa-mir-155-5p in synovial tissues of RA patients and were involved in the response to environmental factors such as 2,3,7,8-tetrachlorodibenzodioxin and silicon dioxide.The ROC curve analysis identified the DE-ATG with good sensitivity and specificity,such as MYC,MAPK8,CDKN1A,and TNFSF10,which can be used to distinguish certain phenotypes and serve as novel biomarkers for RA.Conclusions In RA,down-regulated DE-ATG expression may promote apoptosis and lysis of chondrocytes.The identified novel biomarkers provides new ideas and methods for diagnosing and treating RA.The establishment of transcription factor-miRNA-gene co-expression network provides direct evidence for dissecting synovial inflammation and articular cartilage destruction.

[Effect of Selenoprotein Thioredoxin Reductase 3 on the Survival Prognosis of Tumor Patients].

Objective To investigate the expression of thioredoxin reductase 3(TXNRD3),a selenoprotein,in 33 human malignant tumors and then analyze its effect on the survival prognosis.Methods We employed the genotype-tissue expression project database,the cancer cell line encyclopedia,and the cancer genome atlas to explore the expression of TXNRD3 gene in 33 human malignant tumors and analyze its impact on the survival prognosis.Further,we explored the correlations of TXNRD3 with immune cells and immune infiltration in the tumor microenvironment,as well as with neoantigens,immune checkpoint genes,tumor mutational burden,and microsatellite instability.Subsequently,human samples were classified into high-and low-expression groups according to TXNRD3 gene expression levels,and the enrichment analysis of biological functions and signaling pathways was performed.Results The analysis with multiple databases showed that TXNRD3 was highly expressed in 15 tumors.The survival analysis showed that TXNRD3 was significantly associated with poor prognosis in pancreatic cancer patients.In addition,the expression level of TXNRD3 was correlated with immune infiltration in tumor microenvironment,neoantigens,immune checkpoint genes,tumor mutational burden,and microsatellite instability.TXNRD3 affected the expression of DNA mismatch repair genes.The gene set enrichment indicated that TXNRD3 was involved in regulating multiple signaling pathways associated with tumor metabolism and tumor immunity.Conclusion TXNRD3 is widely expressed in tumors and has a clinical value for the survival prognosis prediction and treatment of multiple tumors,demonstrating the potential of being a promising biomarker for targeted treatment of multiple tumors.

A systematic review and meta-analysis of integrated traditional Chinese medicine and Western medicine in treating glomerulosclerosis.

BACKGROUND: The combination of Traditional Chinese medicine and Western medicine (TCM+WM) has been widely used in the treatment of glomerulosclerosis, but the results are still controversial. This study will assess the clinical efficacy of TCM+WM for glomerulosclerosis and provide evidence-based medical data via meta-analysis. METHOD: The MEDLINE, EMBASE, PubMed, Cochrane Central Registry of Controlled Trials, and multiple Chinese databases (Wan Fang, CNKI, and VIP) were searched for randomized controlled trials (RCT) that compared the effects of WM and TCM+WM. Review Manager 5.3 software was used for the meta-analysis of selected studies, and appropriate tests were performed to determine the quality, heterogeneity and sensitivity of these studies. RESULTS: Sixteen RCTs met the inclusion criteria and were selected for the analysis. Compared with the placebo or WM-treated glomerulosclerosis patients, TCM+WM intervention significantly improved renal function indices including 24-hour urine protein quantity (24 h U-Pro), serum creatinine (Scr), blood urea nitrogen (BUN), creatinine clearance (Ccr). In addition, the serum albumin (ALB), triglyceride (TG), and cholesterol (CHOL) levels were also significantly improved (P < .05) in patients receiving the combination therapy. Finally, the combination of TCM+WM reduced the indices of glomerulosclerosis more effectively compared with WM alone. CONCLUSION: The combination of TCM+WM can significantly improve the renal function and prognosis of patients with glomerulosclerosis.

[Changes of Gene Expression Profile in Cardiac Mesenchymal Cells in Patients with Type 2 Diabetes Mellitus and Screening of Their Related Environmental Chemicals].

Objective To study the gene expression of cardiac mesenchymal cells in patients with type 2 diabetes mellitus (T2DM)based on a whole-genome high-throughput sequencing dataset,screen differentially expressed genes,analyze the genetics signature of cardiac mesenchymal cells in T2DM patients by bioinformatics analysis,and explore the environmental chemicals related to the key differentially expressed genes. Methods The dataset GSE106177 was obtained from Gene Expression Omnibus (GEO) database.The dataset was pre-processed and analyzed by Network Analyst,Cytoscape 3.7.1,String11.0,CTD,and HMDD for screening for differentially expressed genes,enrichment analysis,establishment of protein-protein interaction (PPI) networks,and screening for relevant environmental chemicals. Results The gene expression pattern of cardiac mesenchymal cells in T2DM patients was significantly different from that in the control group.There were 135 differentially expressed genes,of which 58 (42.96%) were up-regulated and 77 (57.04%) were down-regulated.The differentially expressed genes mainly participated in biological processes such as multicellular organism development,anatomical structure development,and system development and were mainly involved in hepatocellular carcinoma,Cushing's syndrome,and cholesterol metabolism.PPI network showed that UBC was the core protein node.The microRNA-Gene interaction network showed that seven microRNAs,represented by hsa-mir-8485,interacted with the differentially expressed genes.Key T2DM related genes such as UBC,DNER,and CNTN1 interacted with bisphenol A. Conclusions The gene expression profile of cardiac mesenchymal cells markedly changes in T2DM patients,during which UBC may play an important biological role.Bisphenol A exposure may also affect the development and normal function of cardiac cells in T2DM patients.

[Analysis of Differentially Expressed Genes and the Interaction Network between Acute and Chronic Idiopathic Thrombocytopenic Purpura in Children].

Objective To analyze the differentially expressed genes and key proteins in T cells between acute and chronic idiopathic thrombocytopenic purpura (ITP) in children and provide the basis for the prevention and therapies of this disease. Methods Microarray gene chip data from T cells of children with acute or chronic ITP were downloaded from the GEO Database. The gene expression profiles,gene function,and protein interaction network were analyzed by R,QOE,Networkanalyst,GCBI,and GenClip. Results The gene expression profiles between these two groups were significantly different. Among the 54 675 genes analyzed,there were 457 (0.84%) differentially expressed genes between these two groups. In the protein interaction networks among top 20 differentially expressed genes,the core was JUN(down-regulated) and ITCH(up-regulated),which were both related to the tumor necrosis factor signaling pathway;differentially expressed genes were mainly related to the activation and tolerance of T cell. Conclusions The gene expression profiles differ between acute and chronic ITP patients,suggesting that the gene transcription profile plays a regulatory role in the different stages of ITP. JUN and ITCH may play a role in predict the progression of ITP and may exert their biological functions by regulating the tumor necrosis factor signaling pathway.

Time Series Models for Short Term Prediction of the Incidence of Japanese Encephalitis in Xianyang City, P R China△.

Objective To construct a model of Seasonal Autoregressive Integrated Moving Average (SARIMA) for forecasting the epidemic of Japanese encephalitis (JE) in Xianyang, Shaanxi, China, and provide valuable reference information for JE control and prevention. Methods Theoretically epidemiologic study was employed in the research process. Monthly incidence data on JE for the period from Jan 2005 to Sep 2014 were obtained from a passive surveillance system at the Center for Diseases Prevention and Control in Xianyang, Shaanxi province. An optimal SARIMA model was developed for JE incidence from 2005 to 2013 with the Box and Jenkins approach. This SARIMA model could predict JE incidence for the year 2014 and 2015. Results SARIMA (1, 1, 1) (2, 1, 1)12 was considered to be the best model with the lowest Bayesian information criterion, Akaike information criterion, Mean Absolute Error values, the highest R2, and a lower Mean Absolute Percent Error. SARIMA (1, 1, 1) (2, 1, 1)12 was stationary and accurate for predicting JE incidence in Xianyang. The predicted incidence, around 0.3/100 000 from June to August in 2014 with low errors, was higher compared with the actual incidence. Therefore, SARIMA (1, 1, 1) (2, 1, 1)12 appeared to be reliable and accurate and could be applied to incidence prediction. Conclusions The proposed prediction model could provide clues to early identification of the JE incidence that is increased abnormally (≥0.4/100 000). According to the predicted Results in 2014, the JE incidence in Xianyang will decline slightly and reach its peak from June to August.

Acupuncture for the treatment of obesity in adults: a systematic review and meta-analysis.

OBJECTIVE: Meta-analysis was used to assess the clinical efficacy of acupuncture treatment for simple obesity and to provide evidence-based medical data for treating obesity with acupuncture. METHODS: A comprehensive search of studies on MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials and Chinese databases (Wan Fang,CNKI and VIP) from 1 January 1915 through 30 November 2015 (MEDLINE search updated through 31 December 2015) was performed. We included only randomised controlled trials (RCTs) that used acupuncture and sham acupuncture to treat simple obesity. The effect of acupuncture on simple obesity was measured using body mass index (BMI), body fat mass (BFM), waist circumference (WC), hip circumference (HC), and body weight (BW). The Jadad scale was used to assess methodological quality. The random effects model was used in the pooled analysis to adjust for the heterogeneity of the included studies, and funnel plots were used to examine publication bias. The differences between treatment groups were reported as mean differences (MD). RESULTS: Eleven RCTs were selected after all relevant literature from the electronic databases had been screened. There were 338 and 305 participants in the acupuncture and sham acupuncture groups, respectively. Auricular and electro acupuncture were both able to reduce BMI in obese patients (MD 0.47 kg/m2, 95% CI 0.35 to 0.58, p<0.001; MD 0.50 kg/m2, 95% CI 0.38 to 0.62, p<0.001). BFM change after acupuncture treatment compared with sham treatment was statistically significant (MD 0.66 kg, 95% CI 0.51 to 0.80, p<0.001). There were also significant differences in WC and HC between the acupuncture and sham acupuncture groups (MDwc2.02 cm, 95% CI 0.21 to 3.83, p=0.03; MDHC2.74 cm, 95% CI 1.21 to 4.27, p=0.0004). BW was not statistically significantly different between the acupuncture and sham acupuncture groups (MD 0.60 kg, 95% CI -0.20 to 1.39, p=0.14). Begg's test and funnel plots showed that the potential publication bias of the included studies was very slight (p>0.05). CONCLUSION: Acupuncture for simple obesity appeared to be an effective treatment, but more studies on the safety of acupuncture used to treat simple obesity are required.

Epidemiological characteristics of measles from 2000 to 2014: Results of a measles catch-up vaccination campaign in Xianyang, China.

This study was a cross-sectional case-control study aimed at (1) identifying risk factors contributing to the measles epidemic and (2) evaluating the impacts of measles-containing vaccines (MCVs), with the goal of providing evidence-based recommendations for measles elimination strategies in China. Data on measles cases from 2000 to 2014 were obtained from a passive surveillance system at the Center for Diseases Prevention and Control in Xianyang. The effectiveness of MCVs was evaluated in 357 patients with a vaccination history and 503 healthy randomly selected controls. Patient data were subjected to multivariable logistic regression modeling. From 2005 to 2014, the average incidence of measles in Xianyang was 5.42 cases per 100,000 people. The second MCV dose was highly protective in 8-month-old infants. MCVs in general have been highly protective in 8-month-old infants. Multivariable logistic regression modeling indicated that age (≥2 years vs. <2years), MCV dose 2 vaccination, and MV vaccination were each independently associated with measles case status. In conclusions: A MCV should be administered on time to all age-eligible children, reproductive-age women, and migrant populations, to maximize herd immunity to measles.

Selenium and Iodine Levels in Subjects with Kashin-Beck Disease: a Meta-analysis.

Kashin-Beck disease (KBD) is an endemic, degenerative osteoarthropathy, and particularly seen in China. A deficiency of selenium and iodine is implicated as the main etiological factor for KBD. This meta-analysis aimed to evaluate the differences in the selenium and iodine levels between patients with KBD and healthy individuals. Eligible articles published before March 6, 2015 were searched from four electronic databases. Data extraction and quality assessment of included studies were performed by two independent reviewers. Results were summarized as standardized mean difference (SMD) with 95 % confidence intervals (CIs). Cohen's d test was used to estimate the difference of the effect size between patients with KBD and healthy controls. A total of 26 cross-sectional studies were included in the meta-analysis. The pooled SMD showed that the whole blood selenium (Cohen's d = 4.39, P < 0.001), serum selenium (Cohen's d = 2.42, P = 0.015), hair selenium (Cohen's d = 5.46, P < 0.001), and urinary selenium (Cohen's d = 4.16, P < 0.001) levels were significantly lower in patients with KBD than that in healthy controls. There was no significant difference of plasma selenium (Cohen's d = 0.08, P = 0.936) and urinary iodine (Cohen's d = 0.33, P = 0.744) levels between subjects with KBD and healthy controls. In conclusion, the levels of selenium, but not iodine were significantly lower in subjects with KBD than that in healthy controls. Selenium deficiency might be associated with the risk of KBD.

Expansion of CD14(+)CD16(+) monocytes is related to acute leukemia.

OBJECTIVE: Aim to investigate the proportion of CD14(+)CD16(+) monocytes and understand the pathogenesis of this monocyte subset in acute leukemia. METHODS: Flow cytometry was utilized to study the phenotype expression of CD14(+)CD16(+) monocytes and CD3(+) T lymphocytes in peripheral blood derived from patients with acute leukemia. All the data were analyzed by SPSS 13.0 software. RESULTS: The proportion of CD14(+)CD16(+) monocytes including both intermediate and non-classical monocytes, increased significantly in patients with acute leukemia and changed negatively or positively according to the disease process. Meanwhile, the proportion of CD14(+)CD16(+) monocytes was inversely correlated with absolute number of CD4(+) T lymphocytes, ratio of CD4(+)/CD8(+) T cells, and positively correlated with the proportion of neutrophil granulocytes. CONCLUSIONS: The proportion of CD14(+)CD16(+) monocytes (especially the intermediate subpopulation) is related to the progression of acute leukemia, and the expansion of this monocyte subset could indicate the severity of the disease.