Xiangya School of Public Health, Central South University, Changsha, China.
Department of Mathematics and Statistics, Mzuzu University, Mzuzu, Malawi.
Front Immunol. 2020 Sep 18;11:1802. doi: 10.3389/fimmu.2020.01802. eCollection 2020.
Previous results on the relationship between non-alcoholic fatty liver disease (NAFLD) and chemokine concentrations were inconsistent. The purpose of this network meta-analysis was to evaluate the link between chemokine system and NAFLD. Relevant data, published not later than June 31, 2019, were searched in the databases of PubMed, Embase, Cochrane Library, and Web of Science. A network meta-analysis was used to rank the chemokines by surface under the cumulative ranking (SUCRA) probabilities. In addition, standardized mean differences (SMDs) with 95% confidence intervals (CIs) were calculated as group differences in the chemokine concentrations. The search in the databases identified 46 relevant studies that investigated the relationship between 15 different chemokines and NAFLD using 4,753 patients and 4,059 controls. Results from the network meta-analysis showed that the concentrations of CCL2 and CXCL8 in the non-alcoholic fatty liver (NAFL) group was significantly higher than that in the control group (SMDs of 1.51 and 1.95, respectively), and the concentrations of CCL3, CCL4, CCL20, CXCL8, and CXCL10 in the non-alcoholic steatohepatitis (NASH) group was significantly higher than that in the control group (SMDs of 0.90, 2.05, 2.16, 0.91, and 1.46, respectively). SUCRA probabilities showed that CXCL8 had the highest rank in NAFL for all chemokines and CCL20 had the highest rank in NASH for all chemokines. Elevated concentrations of CCL2, CCL4, CCL20, CXCL8, and CXCL10 may be associated with NAFL or NASH. In this regard, more population-based studies are needed to ascertain this hypothesis. PROSPERO: CRD42020139373.
先前关于非酒精性脂肪性肝病 (NAFLD) 与趋化因子浓度之间关系的研究结果并不一致。本网络荟萃分析旨在评估趋化因子系统与 NAFLD 之间的联系。检索了截至 2019 年 6 月 31 日在 PubMed、Embase、Cochrane Library 和 Web of Science 数据库中的相关数据。使用累积排序概率 (SUCRA) 对趋化因子进行排名。此外,还计算了趋化因子浓度的标准化均数差值 (SMD) 及其 95%置信区间 (CI)。数据库检索共确定了 46 项相关研究,这些研究使用 4753 例患者和 4059 例对照评估了 15 种不同趋化因子与 NAFLD 之间的关系。网络荟萃分析结果显示,非酒精性脂肪肝 (NAFL) 组中 CCL2 和 CXCL8 的浓度明显高于对照组 (SMD 分别为 1.51 和 1.95),非酒精性脂肪性肝炎 (NASH) 组中 CCL3、CCL4、CCL20、CXCL8 和 CXCL10 的浓度明显高于对照组 (SMD 分别为 0.90、2.05、2.16、0.91 和 1.46)。SUCRA 概率表明,在所有趋化因子中,CXCL8 在 NAFL 中排名最高,在所有趋化因子中,CCL20 在 NASH 中排名最高。CCL2、CCL4、CCL20、CXCL8 和 CXCL10 的浓度升高可能与 NAFL 或 NASH 有关。在这方面,需要更多基于人群的研究来证实这一假设。PROSPERO:CRD42020139373。