Föhlinger M, Palamides P, Mansmann U, Beigel F, Siebeck M, Gropp R
Department of General Visceral, and Transplantation Surgery, Hospital of the LMU Munich, Nussbaumstr. 20, 80336, Munich, Germany.
Institute of Molecular Animal Breeding and Biotechnology, and Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377, Munich, Germany.
J Transl Med. 2016 Nov 3;14(1):310. doi: 10.1186/s12967-016-1048-9.
Conventional approaches to understand mechanisms underlying the development of pathological manifestations in ulcerative colitis (UC) mostly rely on identification of certain cell types and cytokines followed by verification of their roles in vitro and in vivo. In light of the highly dynamic processes in UC, requiring the cross talk of immune cells, epithelial-, endothelial-, muscle cells and fibrocytes, this approach might neglect temporal and spatial connectivity of individually differing inflammatory responses.
We undertook a more holistic approach whereby we designed a flow cytometric analysis- and ELISA panel and determined the immunological profiles of UC patients in comparison to Non UC donors. This panel consisted of B-cells, T-cells, macrophages, monocytes, NK- and NK T-cells and subtypes thereof, the cytokines TGFß1 and HGF, the chemokine TARC and periostin. Blood was collected from 41 UC patients and 30 non-UC donors. Isolated PBMC were subjected to flow cytometric analysis and sera were analyzed by ELISA. Data were analysed by cluster- and correlation analysis. To corroborate that the identified cells reflected the inflammatory condition in the colon of UC patients, leucocytes were isolated from colons of UC patients and subjected to the same flow cytometric analysis.
Immunological profiling followed by cluster- and correlation analysis led to the identification of two inflammatory conditions: An 'acute' condition characterized by adaptive immune cells as plasma cells, TSLPR expressing CD11b+ macrophages, CD64 and CCR2 expressing CD14+ monocytes, HGF and TARC and a 'remodeling' condition signified by NK T-cells and TLSPR expressing CD14+ monocytes, TGFß1 and periostin. ROC analysis identified TARC and TGFß1 as biological markers with high potential to discriminate between these two conditions (Δ = -6687.72 ng/ml; p = 1E-04; AUC = 0.87). In addition, CD1a+ CD11b+ macrophages (Δ = 17.73% CD1a+ CD11b+; p = 5E-04; AUC = 0.86) and CD1a+ CD14+ monocytes (Δ = 20.35; p = 0.02, AUC = 0.75) were identified as markers with high potential to discriminate between UC and Non UC donors. CD1a+ CD11b+ macrophages and NK T-cells were found to be significantly increased in inflamed colons of UC patients as compared to non-UC control samples (p = 0.02).
Immunological profiling of UC patients might improve our understanding of the pathology underlying individual manifestations and phases of the disease. This might lead to the development of novel diagnostics and therapeutic interventions adapted to individual needs and different phases of the disease. In addition, it might result in stratification of patients for clinical trials.
传统方法用于理解溃疡性结肠炎(UC)病理表现发展的潜在机制,大多依赖于识别特定细胞类型和细胞因子,随后在体外和体内验证它们的作用。鉴于UC中存在高度动态的过程,需要免疫细胞、上皮细胞、内皮细胞、肌肉细胞和成纤维细胞之间的相互作用,这种方法可能会忽略个体不同炎症反应的时空联系。
我们采用了一种更全面的方法,设计了流式细胞术分析和酶联免疫吸附测定(ELISA)组合,并与非UC供体相比,确定了UC患者的免疫谱。该组合包括B细胞、T细胞、巨噬细胞、单核细胞、自然杀伤(NK)细胞和NK T细胞及其亚型、细胞因子转化生长因子β1(TGFβ1)和肝细胞生长因子(HGF)、趋化因子胸腺和活化调节趋化因子(TARC)以及骨膜蛋白。从41例UC患者和30例非UC供体采集血液。分离的外周血单核细胞(PBMC)进行流式细胞术分析,血清通过ELISA分析。数据通过聚类和相关性分析。为了证实所识别的细胞反映了UC患者结肠中的炎症状态,从UC患者的结肠中分离白细胞并进行相同的流式细胞术分析。
通过聚类和相关性分析进行免疫谱分析,确定了两种炎症状态:一种“急性”状态,其特征为适应性免疫细胞如浆细胞、表达TSLPR的CD11b +巨噬细胞、表达CD64和CCR2的CD14 +单核细胞、HGF和TARC;另一种“重塑”状态,以NK T细胞和表达TLSPR的CD14 +单核细胞、TGFβ1和骨膜蛋白为标志。ROC分析确定TARC和TGFβ1为具有高度潜力区分这两种状态的生物标志物(Δ=-6687.72 ng/ml;p = 1E-04;曲线下面积(AUC)= 0.87)。此外,CD1a + CD11b +巨噬细胞(Δ= 17.73% CD1a + CD11b +;p = 5E-04;AUC = 0.86)和CD1a + CD14 +单核细胞(Δ= 20.35;p = 0.02,AUC = 0.75)被确定为具有高度潜力区分UC和非UC供体的标志物。与非UC对照样本相比,发现UC患者炎症结肠中的CD1a + CD11b +巨噬细胞和NK T细胞显著增加(p = 0.02)。
UC患者的免疫谱分析可能会增进我们对该疾病个体表现和阶段潜在病理的理解。这可能会导致开发适合个体需求和疾病不同阶段的新型诊断和治疗干预措施。此外,这可能会导致患者在临床试验中的分层。