Renal Research Institution of Beijing University of Chinese Medicine, and Key Laboratory of Chinese Internal Medicine of Ministry of Education and Beijing, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, China.
Department of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Crit Rev Food Sci Nutr. 2021;61(4):577-598. doi: 10.1080/10408398.2020.1740645. Epub 2020 Apr 24.
This systematic review and meta-analysis of randomized controlled trials (RCTs) was performed to quantify the effects of probiotic, prebiotic, and synbiotic supplementation on biomarkers of inflammation and oxidative stress, as well as lipid profiles among patients with chronic kidney disease (CKD). Electronic databases, including PubMed, the Cochrane Database, and the Web of Science were searched from January 1, 2000, to May 15, 2019. All RCTs that investigated the effect of prebiotics, probiotics, and synbiotics on a circulating (serum and plasma) inflammatory marker (C-reactive protein [CRP]), oxidative stress indicators (malondialdehyde [MDA], glutathione [GSH], and total anti-oxidant capacity [TAC]); and lipid profiles (total cholesterol [TC], triglycerides [TG], low-density lipoprotein cholesterol [LDL-c], and high-density lipoprotein cholesterol [HDL-c]) among patients with CKD were included. Data were pooled and expressed as a standardized mean difference (SMD) with a 95% confidence interval (CI). The protocol for this meta-analysis is registered with PROSPERO; No. CRD42019139090. Thirteen trials that included 671 patients were identified for analysis. The methodological quality varied across studies. Meta-analysis indicated that microbial therapies significantly reduced CRP (SMD, -0.75; 95% CI, -1.03 to -0.47; p = 0.000), MDA (SMD, -1.06; 95% CI, -1.59 to -0.52; p = 0.000), TC (SMD, -0.33; 95% CI, -0.52 to -0.13; p = 0.000), and LDL-c (SMD, -0.44; 95% CI, -0.86 to -0.02; p = 0.000) levels; they also increased the GSH (SMD, 0.44; 95% CI, 0.25 to 0.65; p = 0.000), TAC (SMD, 0.61; 95% CI, 0.07 to 1.15; p = 0.000), and HDL-c (SMD, 0.45; 95% CI, 0.03 to 0.87; p = 0.000) levels in CKD patients, as compared to the placebo groups; however, there was no statistically significant TG concentration among patients with CKD. Subgroup analyses showed that other key factors, such as the duration of intervention, participants' baseline body mass index (BMI), type of intervention, and age, had an effect of microbial therapies on outcomes. This meta-analysis supports the potential use of probiotic, prebiotic, and synbiotic supplements in the improvement of established biomarkers of inflammation and oxidative stress, as well as lipid profiles among patients with CKD, which are well-known cardiovascular risk factors. Further research into these interventions should consider the limitations of our study to explore the effect of long-term administration of these supplements in the CKD population.
本系统评价和荟萃分析对随机对照试验(RCT)进行了研究,目的是量化益生菌、益生元和合生菌补充剂对慢性肾脏病(CKD)患者炎症和氧化应激生物标志物以及血脂谱的影响。从 2000 年 1 月 1 日到 2019 年 5 月 15 日,检索了包括 PubMed、Cochrane 数据库和 Web of Science 在内的电子数据库。纳入了研究益生元、益生菌和合生菌对循环(血清和血浆)炎症标志物(C 反应蛋白(CRP))、氧化应激指标(丙二醛(MDA)、谷胱甘肽(GSH)和总抗氧化能力(TAC))以及 CKD 患者血脂谱(总胆固醇(TC)、甘油三酯(TG)、低密度脂蛋白胆固醇(LDL-c)和高密度脂蛋白胆固醇(HDL-c))影响的所有 RCT。对数据进行了汇总,并表示为标准化均数差(SMD)和 95%置信区间(CI)。本荟萃分析的方案已在 PROSPERO 中注册;编号 CRD42019139090。确定了 13 项包含 671 名患者的试验进行分析。研究的方法学质量各不相同。荟萃分析表明,微生物疗法显著降低了 CRP(SMD,-0.75;95%CI,-1.03 至-0.47;p=0.000)、MDA(SMD,-1.06;95%CI,-1.59 至-0.52;p=0.000)、TC(SMD,-0.33;95%CI,-0.52 至-0.13;p=0.000)和 LDL-c(SMD,-0.44;95%CI,-0.86 至-0.02;p=0.000)水平;它们还增加了 GSH(SMD,0.44;95%CI,0.25 至 0.65;p=0.000)、TAC(SMD,0.61;95%CI,0.07 至 1.15;p=0.000)和 HDL-c(SMD,0.45;95%CI,0.03 至 0.87;p=0.000)水平,与安慰剂组相比,CKD 患者;然而,CKD 患者的 TG 浓度没有统计学意义。亚组分析表明,其他关键因素,如干预的持续时间、参与者的基线体重指数(BMI)、干预类型和年龄,对微生物疗法的效果有影响。这项荟萃分析支持益生菌、益生元和合生菌补充剂在改善 CKD 患者炎症和氧化应激以及血脂谱等既定生物标志物方面的潜在应用,这些标志物是众所周知的心血管危险因素。进一步研究这些干预措施应考虑到我们研究的局限性,以探讨这些补充剂在 CKD 人群中的长期给药效果。