Mousa Khalafi, Sara K Rosenkranz, Faeghe Ghasemi, Shokoufeh Kheradmand, Aref Habibi Maleki, Mallikarjuna Korivi, Jung-Piao Tsao
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Inclusion criteria were (1) studies of human participants with metabolic diseases, (2) interventions that evaluated the effects of IF, (3) with or without a control group, and (4) measured liver fat, liver steatosis, liver fibrosis, or liver enzymes, including alanine aminotransferase (ALT) and aspartate aminotransferase (AST) as primary outcomes. Standardized mean differences (SMD) and 95% confidence intervals were calculated using random effects models. Heterogeneity was assessed using the Cochran's Q statistic and I-squared statistic (I<sup>2</sup>). Publication bias was assessed using the visual inspection of funnel plots and Egger's tests. The risk of bias was assessed using the PEDro scale and the NIH quality assessment tool.</p><p><strong>Results: </strong>A total 21 studies involving 1,226 participants with metabolic disorders were included in the meta-analysis. 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引用次数: 0
摘要
背景:间歇性禁食(IF)是一种有效的减肥和改善心脏代谢健康的饮食疗法。然而,关于IF对肝功能指标的作用的证据很少,特别是在患有代谢性疾病的成年人中。因此,我们进行了系统回顾和荟萃分析,以调查IF对代谢性疾病成人肝功能的影响。方法:检索PubMed、Web of Science和Scopus三个主要电子数据库,从成立到2024年9月,以确定在成人代谢紊乱患者中使用或不使用对照组的IF干预的原始研究。纳入标准是:(1)对患有代谢性疾病的人类受试者的研究,(2)评估干扰素影响的干预措施,(3)有或没有对照组,(4)测量肝脏脂肪、肝脂肪变性、肝纤维化或肝酶,包括谷丙转氨酶(ALT)和天冬氨酸转氨酶(AST)作为主要结局。采用随机效应模型计算标准化平均差(SMD)和95%置信区间。采用Cochran's Q统计量和i平方统计量(I2)评估异质性。发表偏倚采用漏斗图的目视检验和Egger检验进行评估。使用PEDro量表和NIH质量评估工具评估偏倚风险。结果:荟萃分析共纳入了21项研究,涉及1226名代谢紊乱患者。总的来说,如果有效降低肝脂肪大效果(SMD: -1.22(95%置信区间CI: -1.63 - -0.80), p = 0.001),肝脏脂肪变性与介质的影响大小(SMD: -0.73(95%置信区间CI: -1.12 - -0.35), p = 0.001), ALT和小尺寸效应(SMD: -0.44(95%置信区间CI: -0.58 - -0.30), p = 0.001),和AST小尺寸效应(SMD: -0.30(95%置信区间CI: -0.49 - -0.11), p = 0.001),但不是肝纤维化(SMD: -0.28(95%置信区间CI: -0.59 - 0.02), p = 0.07)。亚组分析显示,IF可显著降低肝脏脂肪和ALT,与IF模式、参与者年龄、健康状况、体重状况和干预时间无关。IF显著降低肥胖患者肝纤维化;在5:2饮食后,无论健康状况或干预时间长短,中年成年人、肥胖成年人的AST都有所下降。结论:IF似乎是一种有效的饮食疗法,可以改善成人代谢性疾病患者的肝功能,并且与IF模式、干预时间或参与者健康状况无关,许多肝功能相关的益处都会发生。局限性:异质性显著、研究数量少、纳入非随机试验或单组前后试验是本meta分析的主要局限性。需要进一步的随机临床试验来阐明IF对代谢性疾病成人肝功能的影响。
Efficacy of intermittent fasting on improving liver function in individuals with metabolic disorders: a systematic review and meta-analysis.
Background: Intermittent fasting (IF) can be an effective dietary therapy for weight loss and improving cardiometabolic health. However, there is scant evidence regarding the role of IF on indicators of liver function, particularly in adults with metabolic disorders. Therefore, we performed a systematic review and meta-analysis to investigate the effects of IF on liver function in adults with metabolic disorders.
Methods: Three primary electronic databases including PubMed, Web of Science, and Scopus, were searched from inception to September 2024 to identify original studies that used IF interventions with or without control groups in adults with metabolic disorders. Inclusion criteria were (1) studies of human participants with metabolic diseases, (2) interventions that evaluated the effects of IF, (3) with or without a control group, and (4) measured liver fat, liver steatosis, liver fibrosis, or liver enzymes, including alanine aminotransferase (ALT) and aspartate aminotransferase (AST) as primary outcomes. Standardized mean differences (SMD) and 95% confidence intervals were calculated using random effects models. Heterogeneity was assessed using the Cochran's Q statistic and I-squared statistic (I2). Publication bias was assessed using the visual inspection of funnel plots and Egger's tests. The risk of bias was assessed using the PEDro scale and the NIH quality assessment tool.
Results: A total 21 studies involving 1,226 participants with metabolic disorders were included in the meta-analysis. Overall, IF effectively decreased liver fat with a large effect size [SMD: -1.22 (95% CI: -1.63 to -0.80), p = 0.001], liver steatosis with a medium effect size [SMD: -0.73 (95% CI: -1.12 to -0.35), p = 0.001], ALT with a small effect size [SMD: -0.44 (95% CI: -0.58 to -0.30), p = 0.001], and AST with a small effect size [SMD: -0.30 (95% CI: -0.49 to -0.11), p = 0.001], but not liver fibrosis [SMD: -0.28 (95% CI: -0.59 to 0.02), p = 0.07]. Subgroup analyses showed that IF decreased liver fat and ALT significantly, independent of IF mode, participant age, health status, weight status, and intervention duration. IF significantly decreased liver fibrosis in those with obesity; and decreased AST following 5:2 diets, in middle-aged adults, adults with obesity, and regardless of health status or intervention duration.
Conclusions: IF seems to be an effective dietary therapy for improving liver function in adults with metabolic disorders, and many of liver function-related benefits occur regardless of IF mode, intervention duration, or participant health status.
Limitations: Significant heterogeneity, small numbers of studies and inclusion of non-randomized trials or single-group pre-post trials were the main limitation of our meta-analysis. Further randomized clinical trials are needed to elucidate the effects of IF on liver function in adults with metabolic disorders.
期刊介绍:
Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects.
The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases.
Key areas we wish to encourage submissions from include:
-how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes;
-the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components;
-how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved;
-how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.