Impact of flavan-3-ols on blood pressure and endothelial function in diverse populations: a systematic review and meta-analysis of randomised controlled trials.

IF 8.4 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Vasiliki Lagou, Arno Greyling, Mario Ferruzzi, Simon S Skene, Joy Dubost, Ayse Demirkan, Inga Prokopenko, Julie Shlisky, Ana Rodriguez-Mateos, Christian Heiss
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引用次数: 0

Abstract

Background and aims: Flavan-3-ols, found in cocoa, tea, and certain fruits, show promise in improving blood pressure (BP) and vascular function, but are currently not used for cardiovascular prevention. This meta-analysis evaluated the effects of flavan-3-ol-rich interventions on BP and endothelial function.

Methods: PubMed was searched for randomized controlled trials (RCTs) published 1946-03/2024 on BP and flow-mediated dilation (FMD) after flavan-3-ol-rich food, beverage, or supplement intake. Random-effects meta-analysis of 109 publications including 145 RCTs and 5,205 participants was performed. (PROSPERO:CRD42023454691).

Results: Flavan-3-ol interventions included epicatechin, epigallocatechin-gallate, cocoa products, tea, grape extract, and apples delivering 586 mg (95%CI 510,662) total flavan-3-ols. Interventions decreased office (-2.8 [95%CI -3.9, -1.7]/-2.0 [-2.6, -1.3] mmHg) and 24h-ambulatory BP (-3.7 [-5.8, -1.6]/-2.6 [-4.5, -0.8] mmHg) after chronic repetitive consumption. Effects were larger with elevated and hypertensive baseline BP or categorical hypertension (office: -5.9 [-10.0, -1.8]/-2.7 [-4.4, -1.0] mmHg, 24h-ABP: -6.8 [-16.3,2.8]/-5.1 [-12.5,2.2] mmHg). Meta-regression analysis confirmed that the magnitude of BP lowering was inversely related to baseline BP, but not to proportion of participants with CVD, diabetes mellitus, and study duration across all studies, and was dose-dependently related to epicatechin dose only in cocoa studies. FMD increased after acute (+2.0% [1.6,2.3]) and repetitive (+1.7% [1.3,2.2]) consumption independent of BP. Reported adverse events were minor and low (0.4%). The considerable heterogeneity of effect sizes (I2>50%) between studies was not explained by the investigated factors limiting the strength of evidence to 'moderate'.

Conclusions: Flavan-3-ol-rich foods considerably reduce elevated BP and improve endothelial function independent of blood pressure supporting their use for cardiovascular prevention.

黄烷-3-醇对不同人群血压和内皮功能的影响:随机对照试验的系统回顾和荟萃分析
背景和目的:在可可、茶和某些水果中发现的黄烷-3-醇,显示出改善血压和血管功能的希望,但目前尚未用于心血管疾病的预防。本荟萃分析评估了富含黄烷-3-醇的干预措施对血压和内皮功能的影响。方法:PubMed检索1946-03/2024年发表的随机对照试验(rct),这些试验与摄入富含黄烷-3醇的食物、饮料或补充剂后的血压和血流介导性舒张(FMD)有关。对109篇出版物进行随机效应荟萃分析,包括145项随机对照试验和5205名受试者。(普洛斯彼罗:CRD42023454691)。结果:黄烷-3-醇干预包括表儿茶素、表没食子儿茶素-没食子酸酯、可可制品、茶、葡萄提取物和苹果,提供586毫克(95%CI 510,662)总黄酮-3-醇。慢性重复用药后,干预降低了办公室血压(-2.8 [95%CI -3.9, -1.7]/-2.0 [-2.6, -1.3] mmHg)和24小时动态血压(-3.7 [-5.8,-1.6]/-2.6 [-4.5,-0.8]mmHg)。基线血压升高和高血压或分类高血压的影响更大(办公室:-5.9 [-10.0,-1.8]/-2.7 [-4.4,-1.0]mmHg, 24h-ABP: -6.8 [-16.3,2.8]/-5.1 [-12.5,2.2] mmHg)。meta回归分析证实,血压降低的幅度与基线血压呈负相关,但与所有研究中心血管疾病、糖尿病患者比例和研究持续时间无关,并且仅在可可研究中与表儿茶素剂量呈剂量依赖性相关。急性进食(+2.0%[1.6,2.3])和重复进食(+1.7%[1.3,2.2])后FMD升高,与血压无关。报告的不良事件轻微且低(0.4%)。研究之间效应大小的巨大异质性(i2bb0 50%)不能用被调查的因素来解释,这些因素将证据的强度限制在“中等”。结论:富含黄烷-3-醇的食物可以显著降低血压升高,改善内皮功能,不依赖于血压,这支持了它们在心血管疾病预防中的应用。
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来源期刊
European journal of preventive cardiology
European journal of preventive cardiology CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
12.50
自引率
12.00%
发文量
601
审稿时长
3-8 weeks
期刊介绍: European Journal of Preventive Cardiology (EJPC) is an official journal of the European Society of Cardiology (ESC) and the European Association of Preventive Cardiology (EAPC). The journal covers a wide range of scientific, clinical, and public health disciplines related to cardiovascular disease prevention, risk factor management, cardiovascular rehabilitation, population science and public health, and exercise physiology. The categories covered by the journal include classical risk factors and treatment, lifestyle risk factors, non-modifiable cardiovascular risk factors, cardiovascular conditions, concomitant pathological conditions, sport cardiology, diagnostic tests, care settings, epidemiology, pharmacology and pharmacotherapy, machine learning, and artificial intelligence.
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