Effects of spirulina supplementation on body composition in adults: a GRADE-assessed and dose-response meta-analysis of RCTs.

IF 3.9 2区医学 Q2 NUTRITION & DIETETICS

Nutrition & Metabolism Pub Date : 2025-06-17 DOI:10.1186/s12986-025-00959-4

Mohammadyasin Lak, Mehdi Karimi, Camellia Akhgarjand, Shirin Ghotboddin Mohammadi, Pedram Pam, Damoon Ashtary-Larky, Samira Pirzad, Mohammadreza Amirkhan-Dehkordi, Mohammad Amin Shahrbaf, Menno Henselmans, Omid Asbaghi

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引用次数: 0

Abstract

Background and aim: Weight management remains a global health concern, with increasing interest in nutritional interventions to support healthy body composition. In recent years, the potential role of supplements like Spirulina has gained considerable attention as a possible intervention. This meta-analysis aims to evaluate the effectiveness of Spirulina supplementation on body composition in adults.

Methods: A comprehensive search strategy was conducted across online databases to find relevant RCTs from inception until December 2024. The primary endpoints were changes in anthropometric indices. Meta-analysis and meta-regression were performed using STATA software, and sensitivity, subgroup, and publication bias analyses were also conducted.

Results: The pooled analysis of 17 RCTs indicated that Spirulina supplementation significantly reduced body weight (BW) (WMD: -1.07 kg; p = 0.004), body mass index (BMI) (WMD: -0.40; p = 0.025), body fat percentage (BFP) (WMD: -0.84%; p = 0.002), but had no significant effects on waist circumference (WC) (WMD: -0.46 cm; p = 0.280). Based on Egger's regression test, there is no publication bias for BW (p = 0.097), BMI (p = 0.382), BFP (p = 0.945), and WC (p = 0.488). A significant dose-response effect on BMI and intervention dose (Coefficient: -0.17, P = 0.007) and duration (Coefficient: 0.13, p = 0.042).

Conclusion: Spirulina supplementation effectively reduces BW, BMI, and BFP, with stronger effects at higher doses and longer durations, especially in obese or older individuals. While no significant change in WC was observed overall, subgroup analyses suggest potential benefits for specific populations, emphasizing the importance of personalized supplementation strategies.

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螺旋藻补充对成人身体成分的影响：一项分级评估和随机对照试验的剂量反应荟萃分析。

背景和目的：体重管理仍然是一个全球性的健康问题，人们越来越关注营养干预以支持健康的身体成分。近年来，螺旋藻等补充剂作为一种可能的干预手段，其潜在作用受到了相当大的关注。本荟萃分析旨在评估补充螺旋藻对成人身体成分的影响。方法：在在线数据库中进行综合搜索策略，查找从开始到2024年12月的相关rct。主要终点是人体测量指数的变化。采用STATA软件进行meta分析和meta回归，并进行敏感性分析、亚组分析和发表偏倚分析。结果：17项随机对照试验的汇总分析显示，添加螺旋藻可显著降低体重（BW） (WMD: -1.07 kg；p = 0.004)，体重指数（BMI） (WMD: -0.40；p = 0.025)，体脂率（BFP） (WMD: -0.84%；p = 0.002)，但对腰围（WC）无显著影响(WMD: -0.46 cm；p = 0.280)。Egger回归检验显示，体重（p = 0.097）、体重指数（p = 0.382）、体重指数（p = 0.945）、腰围（p = 0.488）均无发表偏倚。对BMI、干预剂量（系数：-0.17,P = 0.007）和持续时间（系数：0.13,P = 0.042）有显著的剂量-反应效应。结论：补充螺旋藻可有效降低体重、BMI和BFP，且剂量越大、持续时间越长效果越强，尤其是对肥胖或老年人。虽然总体上没有观察到WC的显著变化，但亚组分析表明对特定人群有潜在的益处，强调了个性化补充策略的重要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nutrition & Metabolism 医学-营养学

CiteScore

8.40

自引率

0.00%

发文量

审稿时长

4-8 weeks

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.