The effect of Aronia consumption on lipid profile, blood pressure, and biomarkers of inflammation: A systematic review and meta-analysis of randomized controlled trials

Phytother Res. 2019 Aug;33(8):1981-1990. doi: 10.1002/ptr.6398. Epub 2019 Jun 24.

Abstract

Plant derivatives, such as anthocyanin-rich phytochemicals, have been reported to elicit a positive effect on lipid profile. Therefore, the aim of this study was to systematically review and meta-analyze the effects of Aronia consumption on lipid profiles, blood pressure, and biomarkers of inflammation in randomized controlled trials. A systematic search was performed in PubMed/MEDLINE, Cochrane, and SCOPUS up to December 2018. Seven studies were identified and analyzed in this meta-analysis. Our study found a significant increase in high-density lipoprotein (HDL; weighted mean difference [WMD]: 1.48 mg/dl, 95% confidence interval, CI, [1.29, 1.68]) and diastolic blood pressure (WMD: 2.55 mmHg, 95% CI [0.63, 4.47]) following Aronia consumption. There was no significant effect on systolic blood pressure and C-reactive protein, tumor necrosis factor, and interleukin-1. Furthermore, subgroup analysis showed that cholesterol (WMD: -7.18, 95% CI [-13.90, -0.46]) and low-density lipoprotein (LDL; WMD: -5.84, 95% CI [-6.91, -4.77]) decreased more significantly in interventions less than 10 weeks in duration. Dose-response analysis demonstrated a significant reduction in triglyceride levels when dose of Aronia was increased to 300 mg/day. In conclusion, the results demonstrated a significant increase in HDL and reduction in total cholesterol and LDL among patients supplementing with Aronia.

Keywords: Aronia; CRP; blood pressure; chokeberry; cholesterol; triglyceride.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • Adult
  • Biomarkers / blood*
  • Blood Pressure / physiology*
  • Female
  • Humans
  • Inflammation / blood*
  • Lipids / blood*
  • Male
  • Photinia / chemistry*
  • Randomized Controlled Trials as Topic

Substances

  • Biomarkers
  • Lipids