The multidrug-resistant rate of Klebsiella pneumoniae has risen rapidly worldwide. To better understand the multidrug resistance situation and molecular characterization of Klebsiella pneumoniae, a total of 153 Klebsiella pneumoniae isolates were collected, and drug susceptibility test was performed to detect its susceptibility patterns to 13 kinds of antibiotics. Phenotypic tests for carbapenemases ESBLs and AmpC enzyme-producing strains were performed to detect the resistance phenotype of the isolates. Then PCR amplification and sequencing analysis were performed for the drug resistance determinants. The results showed that 63 strains harbored blaCTX-M gene, and 14 strains harbored blaDHA gene. Moreover, there were 5 strains carrying blaKPC gene, among which 4 strains carried blaCTX-M, blaDHA and blaKPC genes, and these 4 strains were also resistant to imipenem. Our data indicated that drug-resistant Klebsiella pneumoniae were highly prevalent in the hospital. Thus it is warranted that surveillance of epidemiology of those resistant isolates should be a cause for concern, and appropriate drugs should be chosen.
Bacteria are recognized as important drivers of biogeochemical processes in all aquatic ecosystems. Temporal and geographical patterns in ocean bacterial communities have been observed in many studies, but the temporal and spatial patterns in the bacterial communities from the South China Sea remained unexplored. To determine the spatiotemporal patterns, we generated 16S rRNA datasets for 15 samples collected from the five regularly distributed sites of the South China Sea in three seasons (spring, summer, winter). A total of 491 representative sequences were analyzed by MOTHUR, yielding 282 operational taxonomic units (OTUs) grouped at 97% stringency. Significant temporal variations of bacterial diversity were observed. Richness and diversity indices indicated that summer samples were the most diverse. The main bacterial group in spring and summer samples was Alphaproteobacteria, followed by Cyanobacteria and Gammaproteobacteria, whereas Cyanobacteria dominated the winter samples. Spatial patterns in the samples were observed that samples collected from the coastal (D151, D221) waters and offshore (D157, D1512, D224) waters clustered separately, the coastal samples harbored more diverse bacterial communities. However, the temporal pattern of the coastal site D151 was contrary to that of the coastal site D221. The LIBSHUFF statistics revealed noticeable differences among the spring, summer and winter libraries collected at five sites. The UPGMA tree showed there were temporal and spatial heterogeneity of bacterial community composition in coastal waters of the South China Sea. The water salinity (P=0.001) contributed significantly to the bacteria-environment relationship. Our results revealed that bacterial community structures were influenced by environmental factors and community-level changes in 16S-based diversity were better explained by spatial patterns than by temporal patterns.
Lung cancer is a major cause of cancer-related mortality worldwide, and around two-thirds of patients have metastasis at diagnosis. Thus, detecting lung cancer at an early stage could reduce mortality. Aberrant levels of circulating small non-coding RNAs (small ncRNAs) are potential diagnostic or prognostic markers for lung cancer. We aimed to identify plasma small ncRNA pairs that could be used for early screening and detection of lung adenocarcinoma (LAC).A panel of seven small ncRNA pair ratios could differentiate patients with LAC or benign lung disease from high-risk controls with an area under the curve (AUC) of 100.0%, a sensitivity of 100.0% and a specificity of 100.0% at the training stage (which included 50 patients with early-stage LAC, 35 patients with benign diseases and 29 high-risk controls) and an AUC of 90.2%, a sensitivity of 91.5% and a specificity of 80.4% at the validation stage (which included 44 patients with early-stage LAC, 32 patients with benign diseases and 51 high-risk controls). The same panel could distinguish LAC from high-risk controls with an AUC of 100.0%, a sensitivity of 100.0% and a specificity of 100.0% at the training stage and an AUC of 89.5%, a sensitivity of 85.4% and a specificity of 83.3% at the validation stage. Another panel of five small ncRNA pair ratios (different from the first) was able to differentiate LAC from benign disease with an AUC of 82.0%, a sensitivity of 81.1% and a specificity of 78.1% in the training cohort and an AUC of 74.2%, a sensitivity of 70.4% and a specificity of 72.7% in the validation cohort.Several small ncRNA pair ratios were identified as markers capable of discerning patients with LAC from those with benign lesions or high-risk control individuals.
Objective To investigate the correlation between IGF-1 level and perinatal outcome in patients with preeclampsia.Methods Twenty-eight cases of normal late pregnant women were selected as control group,and 30 cases of pregnant women with mild (n=15) and severe (n=15) preeclampsia were analyzed as study group.Venous blood of pregnant women was collected before delivery.Umbilical cord blood and amniotic fluid were collected.Neonatal birth weight,Apgar score and placental weight were recorded simultaneously.IGF-1 level was detected with enzyme-linked immunosorbent assay (ELISA) in maternal blood,umbilical cord blood and amniotic fluid.The correlation between IGF-1 level and perinatal outcome in pregnant women with preeclampsia was analyzed.Results (1) IGF-1 level declined with the severity of preeclampsia increased.IGF-1 level of severe preeclampsia group was significantly lower than that of mild preeclampsia group,IGF-1 level of mild preeclampsia group was significantly lower than that of control group,and the difference was statistically significant (P0.01).(2) With the IGF-1 level declined,the average birth weight,Apgar score,and placental weight in severe preeclampsia group were significantly lower than those of control group,and the difference was statistically significant (P0.01).The incidence rate of fetal growth restriction (FGR) and perinatal mortality rate in severe preeclampsia group were significantly higher than those of normal control group,and the difference was statistically significant (P0.01).Conclusions The change of IGF-1 level in pregnant woman with preeclampsia provides a monitoring means for the prognosis of the fetus.IGF-1 level in pregnant woman with severe preeclampsia declines significantly,moreover,the incidence of perinatal adverse outcome is higher.
Vitamin D deficiency is a public health problem worldwide. Vitamin D deficiency in pregnant women often leads to negative clinical consequence and has been distributed differently in certain latitudes. Here, we aimed to determine the prevalence of vitamin D deficiency in pregnant women in Shenzhen City and investigate the influencing factors.A total of 27,166 healthy pregnant women, undergoing prenatal examinations in our hospital between July 2014 and December 2018, were enrolled in our study. Maternal characteristics, including the duration of pregnancy, age and enrollment time, were recorded. The concentrations of serum 25(OH)D in the blood samples were detected by immunochemistry assays.For the total study population, the median serum 25(OH)D concentration was 23.36 [17.98-29.51] ng/mL, and 34.3% and 42.4% of the participants exhibited vitamin D deficiency (serum 25(OH) D < 20 ng/mL) and insufficiency (serum 25(OH)D 21-29 ng/mL), respectively. Vitamin D deficiency decreased with gestation (37.83%, 33.8%, and 29.3% for the first trimester, second trimester and third trimester, respectively, p < .001) and decreased by age (36.03%, 35.20%, 31.86% and 29.83%, for the age groups 18-24, 25-29, 30-34 and 35-46 years, respectively, p < .001). This prevalence had conspicuous seasonality (winter vs. autumn, OR 3.69, 95% CI: 3.42-3.99, p < .001). Temperature was positively associated with women's serum 25(OH)D level (r = 0.48, p < .001).Overall, we demonstrated that vitamin D deficiency in pregnant women in Shenzhen was common and was affected by gestation, age and season/temperature.
Objetive:To investigate the conditions of infection of HCMV from mothers and her newborns.Methods:HCMV-IgG,IgM of 200 cases mothers and their newborns were detected with ELISA technique.Results:Positive rate of mothers serum HCMV antibody of IgG and IgM were 96.5% and 28.5% respectively ,Positive rate of serum antibody of IgG and IgM of HCMV in newborns were 46.5% and 11.5%,The mothers serum HCMV antibody of IgM were all positive in twenty-three abnormal newborns.Conclusion:The mothers newly infection of HCMV could effect their newborns.
Introduction Neutrophil CD64 has been proposed as an early marker of sepsis. This study aims to evaluate the diagnostic utility of neutrophil CD64 for identification of early-onset sepsis in preterm neonates. Methods The prospective study was conducted in a neonatal intensive care unit between November 2010 and June 2011. Preterm neonates in whom infection was suspected when they were <12 hours of age were enrolled. Complete blood count with differential, blood culture, neutrophil CD11b and CD64 measurement were performed. Receiver operating characteristic curve analysis was performed to evaluate the performance of neutrophil CD64 as biomarker of sepsis. Results A total of 158 preterm neonates was enrolled, 88 of whom were suspected infection. The suspected sepsis group was of lesser gestational age (P<0.001) and lower birth weight (P<0.001), compared with controls. The hematologic profiles of the suspected sepsis group were characterized by higher white blood cell count, neutrophil counts and C-reactive protein. The suspected sepsis neonates had significantly higher neutrophil CD64 expression compared with controls. Neutrophil CD64 had an area value under the curve of 0.869 with an optimal cutoff values of 1010 phycoerythrin molecules bound/cell and it had a high sensitivity (81.82%) and negative predictive value (77.4%). The level of neutrophil CD64 was independent of antibiotic therapy within 24 hours after the onset of sepsis in preterm neonates. Conclusions Neutrophil CD64 is a highly sensitive marker for suspected early-onset sepsis in preterm neonates. Our study suggests that neutrophil CD64 may be incorporated as a valuable marker to diagnose infection.
Background: The complicated molecular mechanisms underlying the therapeutic effect of electroacupuncture (EA) on ischemic stroke are still unclear. Recently, more evidence has revealed the essential role of the microRNA (miRNA)–mRNA networks in ischemic stroke. However, a systematic analysis of novel key genes, miRNAs, and miRNA–mRNA networks regulated by EA in ischemic stroke is still absent. Methods: We established a middle cerebral artery occlusion (MCAO) mouse model and performed EA therapy on ischemic stroke mice. Behavior tests and measurement of infarction area were applied to measure the effect of EA treatment. Then, we performed RNA sequencing to analyze differentially expressed genes (DEGs) and functional enrichment between the EA and control groups. In addition, a protein–protein interaction (PPI) network was built, and hub genes were screened by Cytoscape. Upstream miRNAs were predicted by miRTarBase. Then hub genes and predicted miRNAs were verified as key biomarkers by RT-qPCR. Finally, miRNA–mRNA networks were constructed to explore the potential mechanisms of EA in ischemic stroke. Results: Our analysis revealed that EA treatment could significantly alleviate neurological deficits in the affected limbs and reduce infarct area of the MCAO model mice. A total of 174 significant DEGs, including 53 upregulated genes and 121 downregulated genes, were identified between the EA and control groups. Functional enrichment analysis showed that these DEGs were associated with the FOXO signaling pathway, NF-kappa B signaling pathway, T-cell receptor signaling pathway, and other vital pathways. The top 10 genes with the highest degree scores were identified as hub genes based on the degree method, but only seven genes were verified as key genes according to RT-qPCR. Twelve upstream miRNAs were predicted to target the seven key genes. However, only four miRNAs were significantly upregulated and indicated favorable effects of EA treatment. Finally, comprehensive analysis of the results identified the miR-425-5p-Cdk1, mmu-miR-1186b-Prc1, mmu-miR-434-3p-Prc1, and mmu-miR-453-Prc1 miRNA–mRNA networks as key networks that are regulated by EA and linked to ischemic stroke. These networks might mainly take place in neuronal cells regulated by EA in ischemic stroke. Conclusion: In summary, our study identified key DEGs, miRNAs, and miRNA–mRNA regulatory networks that may help to facilitate the understanding of the molecular mechanism underlying the effect of EA treatment on ischemic stroke.
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