Department of Human Nutrition and Metabolomics, Pomeranian Medical University in Szczecin, ul. Władysława Broniewskiego 24, 71-460 Szczecin, Poland.
Department of Biochemical Sciences, Pomeranian Medical University in Szczecin, ul. Władysława Broniewskiego 24, 71-460 Szczecin, Poland.
Nutrients. 2022 Dec 9;14(24):5261. doi: 10.3390/nu14245261.
Bacterial overgrowth in the small intestine (SIBO) is a pathological growth of the intestinal microbiota in the small intestine that causes clinical symptoms and can lead to digestive and absorption disorders. There is increasing evidence that people with NAFLD have a distinct gut microflora profile as well metabolome changes compared to people without NAFLD. Thorough analysis of observational and RCT studies in the current databases (EMBASE, Web of Science, PubMed, Cinahl, Clinical Trials) was conducted from 3 November 2021 to 21 June 2022. The following inclusion criteria were applied: confirmed NAFLD, NASH, LIVER FIBROSIS, CIRRHOSIS due to steatosis; diagnostic methods of liver diseases—biopsy, elastography, transabdominal ultrasound; nonalcoholic fatty liver disease activity score; confirmed SIBO; diagnostic methods of SIBO−breath tests (hydrogen test; methane test and mix test; duodenal and jejunal aspiration before any type of intervention; adults above 18yo; number of participants ≥20; full articles. We excluded review articles, populations with HBV/HCV infection and alcohol etiology and interventions that may affect NAFLD or SIBO treatment. The quality of each study methodology was classified by means of the Cochrane Collaboration’s tool (RCT) and Newcastle—Ottawa Quality Assessment Scale adapted for cross-sectional, cohort and case-control studies. The random effects meta-analysis of outcomes for which ≥2 studies contributed data was conducted. The I2 index to measure heterogeneity and the χ2 test of homogeneity (statistically significant heterogeneity p < 0.05) were applied. For categorical outcome, the pooled event rate (effect size) was calculated. This systematic review was reported according to PRISMA reporting guidelines. We initially identified 6643 studies, from which 18 studies were included in final meta-analysis. The total number of patients was 1263. Accepted SIBO diagnostic methods were both available breath tests (n-total = 15) and aspirate culture (n-total = 3). We found that among patients with non-alcoholic liver diseases, the random overall event rate of SIBO was 0.350 (95% CI, 0.244−0.472), p = 0.017. The subgroup analysis regarding a type of diagnosis revealed that the lowest ER was among patients who developed simultaneously NAFLD, NASH and fibrosis: 0.197 (95% CI, 0.054−0.510) as compared to other annotated subgroups. The highest prevalence of SIBO was observed in the NASH subgroup: 0.411 (95% CI, 0.219−0.634). There were no statistically significant differences in the prevalence of SIBO in different subgroups (p = 0.854). Statistically significant heterogeneity between studies was estimated (I2 = 86.17%, p = 0.00). Egger’s test did not indicate a publication bias (df = 16, p = 0.885). A meta-regression using a random-effects model revealed that higher percentage of males in the population with liver diseases is a predisposing factor toward SIBO (Q = 4.11, df = 1, p = 0.0426 with coefficient = 0.0195, SE = 0.0096, Z = 2.03). We showed that the prevalence of SIBO in patients with chronic non-alcoholic liver diseases can be as high as 35%, and it increases with the percentage of men in the population. The prevalence of SIBO does not differ significantly depending on the type of chronic liver disease. Despite the high heterogeneity and moderate and low quality of included studies, our meta-analysis suggests the existence of a problem of SIBO in the population of patients with non-alcoholic liver diseases, and the presence of SIBO, in turn, determines the therapeutic treatment of such type of patients, which indicates the need for further research in this area. The study protocol was registered with the international Prospective Register of Systematic Reviews (PROSPERO ID: CRD42022341473).
小肠细菌过度生长(SIBO)是小肠内肠道微生物群落的病理性过度生长,可导致临床症状,并可导致消化和吸收障碍。越来越多的证据表明,与非酒精性脂肪肝(NAFLD)患者相比,非酒精性脂肪性肝病(NAFLD)患者的肠道微生物群和代谢组有明显的变化。从 2021 年 11 月 3 日至 2022 年 6 月 21 日,对当前数据库(EMBASE、Web of Science、PubMed、Cinahl、Clinical Trials)中的观察性和 RCT 研究进行了彻底分析。应用了以下纳入标准:明确的非酒精性脂肪肝、NASH、肝纤维化、脂肪性肝硬化;肝脏疾病的诊断方法——活检、弹性成像、经腹超声;非酒精性脂肪性肝病活动评分;明确的 SIBO;SIBO 的诊断方法——呼气试验(氢气试验、甲烷试验和混合试验;在任何类型的干预之前进行十二指肠和空肠抽吸;18 岁以上的成年人;参与者人数≥20;全文。我们排除了综述文章、HBV/HCV 感染和酒精病因的人群以及可能影响非酒精性脂肪肝或 SIBO 治疗的干预措施。每个研究方法的质量均通过 Cochrane 协作组(RCT)工具和适应于横断面、队列和病例对照研究的 Newcastle-Ottawa 质量评估量表进行分类。对至少有 2 项研究提供数据的结果进行了随机效应荟萃分析。应用 I2 指数来衡量异质性和 χ2 检验的同质性(统计学显著异质性 p<0.05)。对于分类结局,计算了汇总事件率(效应量)。本系统评价按照 PRISMA 报告指南进行报告。我们最初确定了 6643 项研究,其中 18 项研究纳入最终荟萃分析。总患者人数为 1263 人。接受的 SIBO 诊断方法包括两种可用的呼气试验(n 总数=15)和抽吸培养(n 总数=3)。我们发现,在非酒精性肝病患者中,SIBO 的随机总体事件率为 0.350(95%CI,0.244-0.472),p=0.017。关于一种诊断类型的亚组分析表明,同时患有非酒精性脂肪肝、NASH 和纤维化的患者的 ER 最低,为 0.197(95%CI,0.054-0.510),与其他标记亚组相比。NASH 亚组中 SIBO 的患病率最高,为 0.411(95%CI,0.219-0.634)。不同亚组中 SIBO 的患病率无统计学差异(p=0.854)。研究之间存在统计学显著的异质性(I2=86.17%,p=0.00)。Egger 检验未表明存在发表偏倚(df=16,p=0.885)。使用随机效应模型进行的元回归显示,肝脏疾病人群中男性比例较高是 SIBO 的一个诱发因素(Q=4.11,df=1,p=0.0426,系数=0.0195,SE=0.0096,Z=2.03)。我们表明,慢性非酒精性肝病患者中 SIBO 的患病率可能高达 35%,并且随着人群中男性比例的增加而增加。慢性肝病的类型对 SIBO 的患病率没有显著影响。尽管纳入研究的异质性较高,质量中等和较低,但我们的荟萃分析表明,非酒精性肝病患者人群中存在 SIBO 问题,而 SIBO 的存在反过来又决定了此类患者的治疗治疗,这表明需要在这一领域进行进一步的研究。研究方案已在国际前瞻性系统评价登记处(PROSPERO ID:CRD42022341473)注册。