Hee-Won Moon, Bo Hyun Kim, Chul Min Park, Mina Hur, Yeo-Min Yun, Sung-Yong Kim, Mark Hong Lee
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Flow cytometry and the Human Regulatory T cell Staining Kit (eBioscience, USA) for CD4, CD25, and FoxP3 (forkhead box P3) were used.</p><p><strong>Results: </strong>The CD4+CD25(high)/CD4 and CD4+CD25(high)FoxP3+/CD4 populations were significantly correlated (P<0.0001). The AML and high-risk MDS groups had significantly larger CD4+CD25(high)/CD4 and CD4+CD25(high)FoxP3+/CD4 populations in PB than the autoimmune (P=0.007 and 0.012, respectively) and control groups (P=0.004 and 0.006, respectively). Comparable findings were observed in BM. The CD4+CD25(high)FoxP3+/CD4 population was significantly larger in PB than in BM (P=0.0003).</p><p><strong>Conclusions: </strong>This study provides comparison data for Tregs in AML, MDS, and autoimmune hematologic diseases, and would be helpful for understanding the different immunologic bases of various hematologic diseases. Treg measurement using CD4, CD25, and/or FoxP3 in PB rather than in BM seems to be practical for routine hematologic purposes. Large-scale analysis of the diagnostic role of Treg measurement is needed.</p>","PeriodicalId":17890,"journal":{"name":"Korean Journal of Laboratory Medicine","volume":"31 4","pages":"231-7"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/e1/e7/kjlm-31-231.PMC3190000.pdf","citationCount":"0","resultStr":"{\"title\":\"CD4+CD25highFoxP3+ regulatory T-cells in hematologic diseases.\",\"authors\":\"Hee-Won Moon, Bo Hyun Kim, Chul Min Park, Mina Hur, Yeo-Min Yun, Sung-Yong Kim, Mark Hong Lee\",\"doi\":\"10.3343/kjlm.2011.31.4.231\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>CD4+CD25+ regulatory T-cells (Tregs) play a critical role in immune responses. We explored the status of Tregs in neoplastic and autoimmune hematologic diseases. We also evaluated the technical aspects of Treg measurement in terms of sample type and detection markers.</p><p><strong>Methods: </strong>A total of 68 subjects were enrolled: 11 with AML, 8 with MDS, 10 with autoimmune diseases, and 39 controls. Tregs were analyzed in peripheral blood (PB) and bone marrow (BM) samples from each subject. Flow cytometry and the Human Regulatory T cell Staining Kit (eBioscience, USA) for CD4, CD25, and FoxP3 (forkhead box P3) were used.</p><p><strong>Results: </strong>The CD4+CD25(high)/CD4 and CD4+CD25(high)FoxP3+/CD4 populations were significantly correlated (P<0.0001). The AML and high-risk MDS groups had significantly larger CD4+CD25(high)/CD4 and CD4+CD25(high)FoxP3+/CD4 populations in PB than the autoimmune (P=0.007 and 0.012, respectively) and control groups (P=0.004 and 0.006, respectively). Comparable findings were observed in BM. The CD4+CD25(high)FoxP3+/CD4 population was significantly larger in PB than in BM (P=0.0003).</p><p><strong>Conclusions: </strong>This study provides comparison data for Tregs in AML, MDS, and autoimmune hematologic diseases, and would be helpful for understanding the different immunologic bases of various hematologic diseases. Treg measurement using CD4, CD25, and/or FoxP3 in PB rather than in BM seems to be practical for routine hematologic purposes. 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引用次数: 0
摘要
背景:CD4+CD25+调节性 T 细胞(TregsCD4+CD25+ 调节性 T 细胞(Tregs)在免疫反应中发挥着关键作用。我们探讨了Tregs在肿瘤性和自身免疫性血液病中的状况。我们还从样本类型和检测标记方面评估了 Treg 测量的技术问题:方法:共招募了 68 名受试者:方法:共招募了 68 名受试者:11 名 AML 患者、8 名 MDS 患者、10 名自身免疫性疾病患者和 39 名对照组患者。对每个受试者的外周血(PB)和骨髓(BM)样本中的调节细胞进行了分析。采用流式细胞术和人类调节性 T 细胞染色试剂盒(eBioscience,美国)检测 CD4、CD25 和 FoxP3(叉头盒 P3):结果:CD4+CD25(高)/CD4 和 CD4+CD25 (高)FoxP3+/CD4 群体显著相关(PConclusions:这项研究提供了AML、MDS和自身免疫性血液病中Tregs的比较数据,有助于了解各种血液病的不同免疫学基础。在PB而非在BM中使用CD4、CD25和/或FoxP3测量Treg似乎对常规血液学目的是实用的。需要对 Treg 测量的诊断作用进行大规模分析。
CD4+CD25highFoxP3+ regulatory T-cells in hematologic diseases.
Background: CD4+CD25+ regulatory T-cells (Tregs) play a critical role in immune responses. We explored the status of Tregs in neoplastic and autoimmune hematologic diseases. We also evaluated the technical aspects of Treg measurement in terms of sample type and detection markers.
Methods: A total of 68 subjects were enrolled: 11 with AML, 8 with MDS, 10 with autoimmune diseases, and 39 controls. Tregs were analyzed in peripheral blood (PB) and bone marrow (BM) samples from each subject. Flow cytometry and the Human Regulatory T cell Staining Kit (eBioscience, USA) for CD4, CD25, and FoxP3 (forkhead box P3) were used.
Results: The CD4+CD25(high)/CD4 and CD4+CD25(high)FoxP3+/CD4 populations were significantly correlated (P<0.0001). The AML and high-risk MDS groups had significantly larger CD4+CD25(high)/CD4 and CD4+CD25(high)FoxP3+/CD4 populations in PB than the autoimmune (P=0.007 and 0.012, respectively) and control groups (P=0.004 and 0.006, respectively). Comparable findings were observed in BM. The CD4+CD25(high)FoxP3+/CD4 population was significantly larger in PB than in BM (P=0.0003).
Conclusions: This study provides comparison data for Tregs in AML, MDS, and autoimmune hematologic diseases, and would be helpful for understanding the different immunologic bases of various hematologic diseases. Treg measurement using CD4, CD25, and/or FoxP3 in PB rather than in BM seems to be practical for routine hematologic purposes. Large-scale analysis of the diagnostic role of Treg measurement is needed.