Effects of chia seed (Salvia hispanica L.) supplementation on cardiometabolic health in overweight subjects: a systematic review and meta-analysis of RCTs
Mehdi Karimi, Samira Pirzad, Niyousha Shirsalimi, Sajad Ahmadizad, Seyyed Mohammad Hashemi, Shaghayegh Karami, Kimia Kazemi, Erfan Shahir-Roudi, Anita Aminzadeh
{"title":"Effects of chia seed (Salvia hispanica L.) supplementation on cardiometabolic health in overweight subjects: a systematic review and meta-analysis of RCTs","authors":"Mehdi Karimi, Samira Pirzad, Niyousha Shirsalimi, Sajad Ahmadizad, Seyyed Mohammad Hashemi, Shaghayegh Karami, Kimia Kazemi, Erfan Shahir-Roudi, Anita Aminzadeh","doi":"10.1186/s12986-024-00847-3","DOIUrl":null,"url":null,"abstract":"Obesity is a significant public health issue associated with various chronic diseases. Research has indicated that chia seeds have the potential to improve cardiometabolic health. However, due to the diversity of research and inconsistencies in study design, further investigation is needed to fully understand their clinical effects on overweight individuals. This review aims to comprehensively analyze the available evidence on the effects of chia seeds on cardiometabolic indices in overweight populations through a meta-analysis. A comprehensive literature search was performed across PubMed, Web of Science, Scopus, and Embase databases from their inception until 01-03-2024 to identify randomized controlled trials (RCTs) evaluating the effect of chia on cardiometabolic indices in overweight subjects. The search strategy incorporated both Medical Subject Headings (MeSH). Following the screening, ten RCTs were finally included. The data, including subject characteristics, study design, and changes in serum biomarkers, were extracted and analyzed using Stata software version 18. The meta-analysis results reveal that chia supplementation no significant changes in lipid profile, including triglycerides (TG) (MD: − 5.80 mg/dL, p = 0.47), total cholesterol (TC) (MD: − 0.29 mg/dL, p = 0.95), high-density lipoprotein (HDL) (MD: 1.53 mg/dL, p = 0.33), and low-density lipoprotein (LDL) (MD: 0.63 mg/dL, p = 0.88). Similarity fasting blood glucose (FBG) (MD: − 0.03 mg/dL, p = 0.98), hemoglobin A1c (HbA1c) (MD: − 0.13%, p = 0.13), and insulin levels (MD: 0.45 µIU/mL, p = 0.78). However, chia seed supplementation was associated with a significant reduction in C-reactive protein (CRP) (MD: − 1.18 mg/L, p < 0.0001), but no significant changes were observed in interleukin-6 (IL-6) (MD: − 0.15, p = 0.70) or tumor necrosis factor-alpha (TNF-α) (MD: 0.03, p = 0.91). There was no significant effect on body mass index (BMI) (MD: 0.1 kg/m2, p = 0.91), but a significant reduction in waist circumference (WC) (MD: − 2.82 cm, p < 0.001) was noted. Additionally, chia seed supplementation resulted in a significant reduction in systolic blood pressure (BP) (MD: − 3.27 mmHg, p = 0.03), though diastolic BP changes were non-significant (MD: − 2.69 mmHg, p = 0.09). The studies showed low to moderate heterogeneity in outcome measures, with I2 < 50%. Chia seed supplementation does not significantly impact most lipid profile parameters and glycemic markers. However, it shows potential benefits in reducing WC, BP, and CRP. While chia seeds can be a valuable addition to cardiometabolic health management, they should be part of a broader health strategy that includes a balanced diet, exercise, and lifestyle modifications for optimal results.","PeriodicalId":19196,"journal":{"name":"Nutrition & Metabolism","volume":null,"pages":null},"PeriodicalIF":3.9000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition & Metabolism","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12986-024-00847-3","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Obesity is a significant public health issue associated with various chronic diseases. Research has indicated that chia seeds have the potential to improve cardiometabolic health. However, due to the diversity of research and inconsistencies in study design, further investigation is needed to fully understand their clinical effects on overweight individuals. This review aims to comprehensively analyze the available evidence on the effects of chia seeds on cardiometabolic indices in overweight populations through a meta-analysis. A comprehensive literature search was performed across PubMed, Web of Science, Scopus, and Embase databases from their inception until 01-03-2024 to identify randomized controlled trials (RCTs) evaluating the effect of chia on cardiometabolic indices in overweight subjects. The search strategy incorporated both Medical Subject Headings (MeSH). Following the screening, ten RCTs were finally included. The data, including subject characteristics, study design, and changes in serum biomarkers, were extracted and analyzed using Stata software version 18. The meta-analysis results reveal that chia supplementation no significant changes in lipid profile, including triglycerides (TG) (MD: − 5.80 mg/dL, p = 0.47), total cholesterol (TC) (MD: − 0.29 mg/dL, p = 0.95), high-density lipoprotein (HDL) (MD: 1.53 mg/dL, p = 0.33), and low-density lipoprotein (LDL) (MD: 0.63 mg/dL, p = 0.88). Similarity fasting blood glucose (FBG) (MD: − 0.03 mg/dL, p = 0.98), hemoglobin A1c (HbA1c) (MD: − 0.13%, p = 0.13), and insulin levels (MD: 0.45 µIU/mL, p = 0.78). However, chia seed supplementation was associated with a significant reduction in C-reactive protein (CRP) (MD: − 1.18 mg/L, p < 0.0001), but no significant changes were observed in interleukin-6 (IL-6) (MD: − 0.15, p = 0.70) or tumor necrosis factor-alpha (TNF-α) (MD: 0.03, p = 0.91). There was no significant effect on body mass index (BMI) (MD: 0.1 kg/m2, p = 0.91), but a significant reduction in waist circumference (WC) (MD: − 2.82 cm, p < 0.001) was noted. Additionally, chia seed supplementation resulted in a significant reduction in systolic blood pressure (BP) (MD: − 3.27 mmHg, p = 0.03), though diastolic BP changes were non-significant (MD: − 2.69 mmHg, p = 0.09). The studies showed low to moderate heterogeneity in outcome measures, with I2 < 50%. Chia seed supplementation does not significantly impact most lipid profile parameters and glycemic markers. However, it shows potential benefits in reducing WC, BP, and CRP. While chia seeds can be a valuable addition to cardiometabolic health management, they should be part of a broader health strategy that includes a balanced diet, exercise, and lifestyle modifications for optimal results.
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.