ABSTRACT
Objective To investigate the microbiota composition and diversity between autogenous and anautogenous Culex pipiens pallens, so as to provide insights into unraveling the pathogenesis of autogeny in Cx. pipiens pallens. Methods Autogenous and anautogenous adult Cx. pipiens pallens samples were collected at 25 ℃, and the hypervariable regions of the microbial 16S ribosomal RNA (16S rRNA) gene was sequenced on the Illumina NovaSeq 6000 sequencing platform. The microbiota abundance and diversity were evaluated using the alpha diversity index, and the difference in the microbiota structure was examined using the beta diversity index. The microbiota with significant differences in the abundance between autogenous and anautogenous adult Cx. pipiens pallens samples was identified using the linear discriminant analysis effect size (LEfSe). Results The microbiota in autogenous and anautogenous Cx. pipiens pallens samples belonged to 18 phyla, 28 classes, 70 orders, 113 families, and 170 genera, and the dominant phyla included Proteobacteria, Bacteroidetes, and so on. At the genus level, Wolbachia was a common dominant genus, and the relative abundance was (77.6 ± 11.3)% in autogenous Cx. pipiens pallens samples and (47.5 ± 8.5)% in anautogenous mosquito samples, while Faecalibaculum (0.4% ± 0.1%), Dubosiella (0.5% ± 0.0%) and Massilia (0.5% ± 0.1%) were specific species in autogenous Cx. pipiens pallens samples. Alpha diversity analysis showed that higher Chao1 index and ACE index in autogenous Cx. pipiens pallens samples than in anautogenous samples (both P values > 0.05), and lower Shannon index (P > 0.05) and Simpson index (P < 0.05) in autogenous Cx. pipiens pallens samples than in anautogenous samples. LEfSe analysis showed a total of 48 significantly different taxa between autogenous and anautogenous Cx. pipiens pallens samples (all P values < 0.05). Conclusion There is a significant difference in the microbiota diversity between autogenous and anautogenous Cx. pipiens pallens.
ABSTRACT
Objective@#To investigate the serum angiopoietin-Ⅱ (Ang Ⅱ) levels in acute pancreatitis (AP) patients and the relationship between AngⅡ levels and the disease severity of AP based on the new Atlanta classification criteria.@*Methods@#Seventy-seven patients with AP who were treated in the Affiliated Baiyun Hospital of Guizhou Medical University were included in this prospective study. According to the revised Atlanta classification, the modified Mashall scoring system was used to divided patients into AP with the persistent organ failure(POF) group and without POF group, and the CECT was used to divided patients into AP with pancreatic necrosis(PN) group and without PN group. The levels of AP 72 h after admission of two groups were compared with t test, and Spearman analysis was used to analyze the correlation between common severity indicators and Ang Ⅱ. The receiver operating characteristic (ROC) was performed to analyze the area under curve(AUC), sensitivity and specificity of Ang Ⅱ in predicting POF and PN.@*Results@#According to the modified Mashall scoring system, there were 18 patients (23.38%) in POF group and 59 patients (76.62%) in without POF group. According to CECT, 22 patients (28.57%)were in PN group and 55 patients(71.43%) in without PN group. The Ang Ⅱ of the POF and PN groups was significantly higher than those without POF and PN groups (P=0.001, 0.011) on day 1 on admission. The cut-off value was 126.44 μg/L, and the AUC, sensitivity and specificity for predicting POF were 0.739, 83.3% and 68.4%, which was significantly better than that of traditional predictive indicators, such as C-reaction protein (CRP), procalcitonin (PCT), blood urea nitrogen (BUN), bedside index for severity in AP (BISAP) score and Ranson score. When the cut-off value was 130.90 μg/L, the AUC, sensitivity and specificity for predicting PN were 0.703, 77.3% and 73.6%, respectively, which was significantly better than that of all traditional single indicator. The predicted value was less than PCT and CRP 2 or 3 day after admission. In addition, the Ang Ⅱlevel 1 day after admission was closely related to the Ranson score, BISAP score, and PCT level which was commonly used indicators of AP severity.@*Conclusions@#Under the new Atlanta classification criteria, Ang Ⅱ is superior to the traditional predictive indicators commonly used for predicting POF, and is a better single biochemical indicator for predicting PN in clinic.
ABSTRACT
investigate the serum angiopoietin-Ⅱ (AngⅡ) levels in acute pancreatitis (AP) patients and the relationship between AngⅡlevels and the disease severity of AP based on the new Atlanta classification criteria. Methods Seventy-seven patients with AP who were treated in the Affiliated Baiyun Hospital of Guizhou Medical University were included in this prospective study. According to the revised Atlanta classification, the modified Mashall scoring system was used to divided patients into AP with the persistent organ failure(POF) group and without POF group, and the CECT was used to divided patients into AP with pancreatic necrosis(PN) group and without PN group. The levels of AP 72 h after admission of two groups were compared with t test, and Spearman analysis was used to analyze the correlation between common severity indicators and Ang Ⅱ. The receiver operating characteristic (ROC) was performed to analyze the area under curve(AUC), sensitivity and specificity of Ang Ⅱ in predicting POF and PN. Results According to the modified Mashall scoring system, there were 18 patients (23.38%) in POF group and 59 patients (76.62%) in without POF group. According to CECT, 22 patients (28.57%)were in PN group and 55 patients(71.43%) in without PN group. The AngⅡof the POF and PN groups was significantly higher than those without POF and PN groups (P＝0.001, 0.011) on day 1 on admission. The cut-off value was 126.44 μg/L, and the AUC, sensitivity and specificity for predicting POF were 0.739, 83.3% and 68.4%, which was significantly better than that of traditional predictive indicators, such as C-reaction protein (CRP), procalcitonin (PCT), blood urea nitrogen (BUN), bedside index for severity in AP (BISAP) score and Ranson score. When the cut-off value was 130.90 μg/L, the AUC, sensitivity and specificity for predicting PN were 0.703, 77.3% and 73.6%, respectively, which was significantly better than that of all traditional single indicator. The predicted value was less than PCT and CRP 2 or 3 day after admission. In addition, the Ang Ⅱlevel 1 day after admission was closely related to the Ranson score, BISAP score, and PCT level which was commonly used indicators of AP severity. Conclusions Under the new Atlanta classification criteria, Ang Ⅱ is superior to the traditional predictive indicators commonly used for predicting POF, and is a better single biochemical indicator for predicting PN in clinic.