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RISS 인기검색어
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- 저자 : Zhou Luyao (검색결과 2 건)
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Chen Huadong,Zhou Luyao,Liao Bing,Cao Qinghua,Jiang Hong,Zhou Wenying,Wang Guotao,Xie Xiaoyan 대한영상의학회 2021 Korean Journal of Radiology Vol.22 No.6
Objective: This study aimed to evaluate the role of preoperative two-dimensional (2D) shear wave elastography (SWE) in assessing the stages of liver fibrosis in patients with suspected biliary atresia (BA) and compared its diagnostic performance with those of serum fibrosis biomarkers. Materials and Methods: This study was approved by the ethical committee, and written informed parental consent was obtained. Two hundred and sixteen patients were prospectively enrolled between January 2012 and October 2018. The 2D SWE measurements of 69 patients have been previously reported. 2D SWE measurements, serum fibrosis biomarkers, including fibrotic markers and biochemical test results, and liver histology parameters were obtained. 2D SWE values, serum biomarkers including, aspartate aminotransferase to platelet ratio index (APRi), and other serum fibrotic markers were correlated with the stages of liver fibrosis by METAVIR. Receiver operating characteristic (ROC) curves and area under the ROC (AUROC) curve analyses were used. Results: The correlation coefficient of 2D SWE value in correlation with the stages of liver fibrosis was 0.789 (p < 0.001). The cut-off values of 2D SWE were calculated as 9.1 kPa for F1, 11.6 kPa for F2, 13.0 kPa for F3, and 15.7 kPa for F4. The AUROCs of 2D SWE in the determination of the stages of liver fibrosis ranged from 0.869 to 0.941. The sensitivity and negative predictive value of 2D SWE in the diagnosis of ≥ F3 was 93.4% and 96.0%, respectively. The diagnostic performance of 2D SWE was superior to that of APRi and other serum fibrotic markers in predicting severe fibrosis and cirrhosis (all p < 0.005) and other serum biomarkers. Multivariate analysis showed that the 2D SWE value was the only statistically significant parameter for predicting liver fibrosis. Conclusion: 2D SWE is a more effective non-invasive tool for predicting the stage of liver fibrosis in patients with suspected BA, compared with serum fibrosis biomarkers.
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Imbalance of Innate and Adaptive Immunity in Esophageal Achalasia
Lu Yao,Zuqiang Liu,Weifeng Chen,Jiaqi Xu,Xiaoyue Xu,Jiaxin Xu,Liyun Ma,Xiaoqing Li,Quanlin Li,Pinghong Zhou 대한소화기 기능성질환∙운동학회 2023 Journal of Neurogastroenterology and Motility (JNM Vol.29 No.4
Background/AimsPrevious studies reveal that immune-mediated neuroinflammation plays a key role in the etiology of esophageal achalasia. However, the understanding of leucocyte phenotype and proportion is limited. This study aim to evaluate the phenotypes of leukocytes and peripheral blood mononuclear cells transcriptomes in esophageal achalasia. MethodsWe performed high-dimensional flow cytometry to identified subsets of peripheral leukocytes, and further validated in lower esophageal sphincter histologically. RNA sequencing was applied to investigate the transcriptional changes in peripheral blood mononuclear cells of patients with achalasia. Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) was used for estimating the immune cell types. A differential gene expression analysis was performed and the differential expressed genes were subjected to gene ontology, Kyoto Encyclopedia of Genes and Genomes network, protein-protein interaction network construction. ResultsAn imbalance between innate and adaptive immune cells occurred in achalasia. Specifically, neutrophils and CD8+ T cells increased both in peripheral blood and lower esophageal sphincter in achalasia. Eosinophils decreased in peripheral blood but massively infiltrated in lower esophageal sphincter. CIBERSORT analysis of peripheral blood mononuclear cells RNA sequencing displayed an increased prevalence of CD8+ T cells. 170 dysregulated genes were identified in achalasia, which were enriched in immune cells migration, immune response, etc. Proton pump inhibitor analysis revealed the intersections and gained 7 hub genes in achalasia, which were IL-6, Toll-like receptor 2, IL-1β, tumor necrosis factor, complement C3, and complement C1q A chain. ConclusionPatients with achalasia exhibited an imbalance of systematic innate and adaptive immunity, which may play an important role in the development of achalasia.
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