Literature DB >> 27405810

Effects of Quercetin on Blood Pressure: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Maria-Corina Serban1, Amirhossein Sahebkar2, Alberto Zanchetti3, Dimitri P Mikhailidis4, George Howard5, Diana Antal6, Florina Andrica6, Ali Ahmed7, Wilbert S Aronow8, Paul Muntner5, Gregory Y H Lip9, Ian Graham10, Nathan Wong11, Jacek Rysz12, Maciej Banach13.   

Abstract

BACKGROUND: Quercetin, the most abundant dietary flavonol, has antioxidant effects in cardiovascular disease, but the evidence regarding its effects on blood pressure (BP) has not been conclusive. We assessed the impact of quercetin on BP through a systematic review and meta-analysis of available randomized controlled trials. METHODS AND
RESULTS: We searched PUBMED, Cochrane Library, Scopus, and EMBASE up to January 31, 2015 to identify placebo-controlled randomized controlled trials investigating the effect of quercetin on BP. Meta-analysis was performed using either a fixed-effects or random-effect model according to I(2) statistic. Effect size was expressed as weighted mean difference (WMD) and 95% CI. Overall, the impact of quercetin on BP was reported in 7 trials comprising 9 treatment arms (587 patients). The results of the meta-analysis showed significant reductions both in systolic BP (WMD: -3.04 mm Hg, 95% CI: -5.75, -0.33, P=0.028) and diastolic BP (WMD: -2.63 mm Hg, 95% CI: -3.26, -2.01, P<0.001) following supplementation with quercetin. When the studies were categorized according to the quercetin dose, there was a significant systolic BP and diastolic BP-reducing effect in randomized controlled trials with doses ≥500 mg/day (WMD: -4.45 mm Hg, 95% CI: -7.70, -1.21, P=0.007 and -2.98 mm Hg, 95% CI: -3.64, -2.31, P<0.001, respectively), and lack of a significant effect for doses <500 mg/day (WMD: -1.59 mm Hg, 95% CI: -4.44, 1.25, P=0.273 and -0.24 mm Hg, 95% CI: -2.00, 1.52, P=0.788, respectively), but indirect comparison tests failed to significant differences between doses.
CONCLUSIONS: The results of the meta-analysis showed a statistically significant effect of quercetin supplementation in the reduction of BP, possibly limited to, or greater with dosages of >500 mg/day. Further studies are necessary to investigate the clinical relevance of these results and the possibility of quercetin application as an add-on to antihypertensive therapy.
© 2016 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.

Entities:  

Keywords:  blood pressure; flavonoids; high blood pressure; hypertension; lipids; meta‐analysis; nutrition; quercetin

Mesh:

Substances:

Year:  2016        PMID: 27405810      PMCID: PMC5015358          DOI: 10.1161/JAHA.115.002713

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


Introduction

Nutraceuticals and flavonoid‐containing dietary supplements are becoming increasingly popular in the treatment and prevention of cardiovascular disease.1, 2, 3, 4 Flavonols, flavanols, and anthocyanidins are the main members of the group of natural phenolic compounds called flavonoids.5 The intervention‐based human studies performed as early as 1993 have shown a positive correlation between the dietary intake of flavonoids and reduced incidence and mortality from cardiovascular disease.6 The Zutphen Elderly Study has shown that flavonoids, including quercetin, reduced the risk of coronary death by 68% in men who consumed >29 mg flavonols/day compared with men who consumed <10 mg flavonols/day.6 Quercetin (3, 3′, 4′, 5, 7‐pentahydroxyflavone) has been singled out among flavonoids because of its ubiquitous presence and abundance in fruits and vegetables, as such or bound to sugar moieties in various glycosides.7 Quercetin can be found in apples, capers, cocoa powder, berries, red grapes, red wine, citrus fruits, broccoli, onions, bark roots, flowers, green tea, and black tea.8 This particular flavonol is the subject of about one third of the 35 000 studies on flavonoids.9 Prominent effects include antioxidant, anticarcinogenic,10, 11 antithrombotic,12 anti‐allergic,13 antidiabetic,14 antiobesity,15 immune and inflammation‐modulating activities,16 or different cell signaling effects.17 Anti‐atherosclerotic, antiproliferative, and anti‐inflammatory effects of quercetin have been documented in many human in vitro and in vivo models.18 Its positive effect on hypertension was documented for the first time on spontaneously hypertensive rats, in an experimental model that mimics human hypertension.19 Since then, many experimental and human studies showed that quercetin exerts vasodilator, antiplatelet, and antiproliferative effects, decreasing oxidative status, blood pressure (BP), and end‐organ damage.20, 21, 22, 23, 24 The BP‐lowering effect of quercetin is more evident in subjects with certain comorbidities such as metabolic syndrome or in smokers.25 Different studies tried to establish a connection between the antihypertensive effect of quercetin and certain phenotypes such as the apolipoproteins (apo) E3 and E4, but so far results are conflicting.26 However, evidence of the effects of quercetin on BP has not been conclusive. Therefore, we systematically reviewed all available randomized controlled trials (RCTs) investigating the impact of quercetin on BP.

Subjects and Methods

Design

This study was designed according to the guidelines of the 2009 preferred reporting items for systematic reviews and meta‐analysis (PRISMA) statement1) SCOPUS (http://www.scopus.com), Medline (http://www.ncbi.nlm.nih.gov/pubmed), Cochrane Library (www.cochranelibrary.com), and EMBASE (http://www.embase.com) databases were searched using the following search terms in titles and abstracts (also in combination with MESH terms): (quercetin) AND (blood pressure). The wild‐card term “*” was used to increase the sensitivity of the search strategy. No language restriction was used in the literature search. The search was limited to studies in humans. The literature was searched from inception to January 31, 2015. Because of the study design (meta‐analysis of RCTs), no Institutional Review Board approval, as well as no patients’ informed consents were obtained.

Study Selection

Original studies were included if they met the following inclusion criteria: (1) randomized clinical trial in either parallel or crossover design versus placebo control, (2) investigated the impact of quercetin on BP, (3) presentation of sufficient information on baseline and at the end of study in both quercetin and control groups, and (4) administering quercetin for a period of at least 2 weeks. Exclusion criteria were the following: (1) nonclinical studies, (2) uncontrolled trials, (3) lack of sufficient information on baseline or follow‐up BP, and (4) administration of an active comparator in the control group.

Data Extraction

Eligible studies were reviewed and the following data were abstracted: (1) first author's name; (2) year of publication; (3) study location; (4) number of participants in the quercetin and control groups; (5) dose and duration of supplementation with quercetin; (6) age, sex, and body mass index of study participants; (7) circulating concentrations of total cholesterol, low‐density lipoprotein cholesterol, high‐density lipoprotein cholesterol, triglycerides, and glucose; (8) prevalence of smoking, type 2 diabetes, dyslipidemia, hypertension, and coronary heart disease; and (9) systolic blood pressure (SBP) and diastolic blood pressure (DBP).

Access to Study

All authors had access to the study data and reviewed and approved the final manuscript.

Quality Assessment

A systematic assessment of bias in the included studies was carried out using the Cochrane criteria.27 The items used for the assessment of each study were as follows: adequacy of sequence generation, allocation concealment, blinding, addressing of dropouts (incomplete outcome data), selective outcome reporting, and other potential sources of bias. According to the recommendations of the Cochrane Handbook, a judgment of “yes” indicated low risk of bias, while “no” indicated high risk of bias. Labeling an item as “unclear” indicated an unclear or unknown risk of bias.

Statistical Analysis

Meta‐analysis was conducted using the Comprehensive Meta‐Analysis (CMA) V2 software (Biostat, NJ).28 SBP and DBP were collated in mm Hg. SDs of the mean difference were calculated using the following formula: SD=square root [(SDpretreatment)2+(SDposttreatment)2−(2R×SDpretreatment×SDposttreatment)], assuming a correlation coefficient (R)=0.5. In case of reporting SEM, SD was estimated using the following formula: SD=SEM×square root (n), where n is the number of subjects. Net changes in measurements (change scores) were calculated for parallel and crossover trials, as follows: (measure at end of follow‐up in the treatment group−measure at baseline in the treatment group)−(measure at end of follow‐up in the control group−measure at baseline in the control group). Meta‐analysis was performed using either a fixed‐effects or random‐effect model according to I2 statistic. I2 values <50% and ≥50% suggested the use of fixed‐effects and random‐effects model, respectively. The generic inverse variance method was used to weight each individual study included in the meta‐analysis. Interstudy heterogeneity was assessed using Cochrane Q statistic and quantified by I2 statistic. Effect size was expressed as weighted mean difference (WMD) and 95% CI. In order to evaluate the influence of each study on the overall effect size, sensitivity analysis was conducted using the 1‐study remove (leave‐1‐out) approach. In the absence of trials making head‐to‐head comparison, the effects of different doses and supplementation durations of quercetin were compared using adjusted indirect comparison according to the method proposed by Song et al29 and Bucher et al.30 In this method, treatment effects estimated for each dose or administration duration in the random‐effects model could be compared indirectly through common controls.

Meta‐Regression

Meta‐regression was performed in order to evaluate the association between calculated WMD in SBP and DBP values with dose and duration of quercetin supplementation in the included studies. Meta‐regression was performed under a fixed‐effects or random‐effects (using unrestricted maximum likelihood method) model according to the results of heterogeneity analysis and I2 values. A covariance matrix was built to assess the covariance between regression coefficients of different confounders.

Publication Bias

Potential publication bias was explored using visual inspection of Begg's funnel plot asymmetry, and Begg's rank correlation and Egger's weighted regression tests. Duval and Tweedie “trim and fill” and “fail‐safe N” methods were used to adjust the analysis for the effects of publication bias.31

Results

Search Results

The preliminary screening ruled out articles whose titles and/or abstracts were obviously unimportant. After evaluation, 7 articles with 9 quercetin treatment arms met the inclusion criteria and were chosen for the final meta‐analysis. For crossover studies with a 2×2 crossover design, each of the study arms (placebo‐quercetin or quercetin‐placebo) was treated as a separate study. A listing of the study selection procedure is displayed in Figure 1.
Figure 1

Flow chart of number of studies identified and included in the review.

Flow chart of number of studies identified and included in the review.

Trial Characteristics

In total, 587 participants were randomized, of whom 299 were allocated to quercetin supplementation and 288 to the control group in the 7 selected studies with 9 treatment arms.32, 33, 34, 35, 36, 37, 38 The number of participants in these trials ranged from 13 to 93. Included studies were published between 1998 and 2014, and were conducted in the United States, Iran, Canada, Germany, and Korea. Ranges of doses from 100 to 1000 mg/day of quercetin were administered in the included trials. Duration of supplementation with quercetin ranged between 4 and 10 weeks. Five trials were designed as parallel‐group studies and 2 trials as 2×2 crossover design. Among all studies included in this meta‐analysis, only 1 study included men and women with prehypertension and stage 1 hypertension.35 All other studies included patients without hypertension. Demographic and baseline parameters of the included studies are shown in Table 1. Oral quercetin administration was safe and well tolerated in all of the RCTs included in this review, with no report of serious adverse events.
Table 1

Demographic Characteristics of the Included Studies

StudyJavadi et al32 Zahedi et al33 Conquer et al34 Edwards et al35 Egert et al36 Lee et al37 Pfeuffer et al38
Year2014201319982007200920112013
LocationIranIranCanadaUSAGermanyKoreaGermany
DesignRandomized, double‐blind placebo‐controlled clinical trialRandomized, double‐blind placebo‐controlled clinical trialRandomized, double‐blind placebo‐controlled clinical trialRandomized, double‐blind, placebo‐controlled, crossover trialRandomized, double‐blind, placebo‐controlled crossover trialRandomized, double‐blinded, placebo‐controlled clinical trialRandomized, double‐blind, placebo‐controlled crossover trial
Duration of study8 weeks10 weeks4 weeks4 weeks6 weeks of treatment separated by a 5‐week washout period10 weeks8 weeks of treatment separated by a 3‐week washout period
Inclusion criteriaWomen age 19 to 70 y old, unchanged type and dose of medications from previous month and no pregnancy or lactationWomen with a history of T2DM for at least 3 y, age between 35 to 55 y, not smoking and addiction, lack of insulin, lack of severe heart diseases, stroke, severe liver and renal diseases, gastrointestinal disorders, thyroid dysfunction, rheumatoid arthritis, and infectious diseasesHealthy men and women with cholesterol levels of 4.0 to 7.2 mmol/LMen and women with prehypertension and stage 1 HTNPatients with the following traits of the metabolic syndrome: central obesity (waist circumference ≥94 cm for men and ≥80 cm for women); serum concentration of TAG ≥1500 mg/L and/or serum concentration of hs‐CRP ≥2.0 mg/LHealthy male smokers in the age range of 30 to 60 yHealthy male patients with apolipoprotein E genotype
Route of administrationOralOralOralOralOralOralOral
Quercetin dose500 mg/day500 mg/day1000 mg/day730 mg/day150 mg/day100 mg/day150 mg/day
Primary end point(s)Changes in oxidant status, BP and C‐reactive proteinChanges in lipids, BP and inflammatory factorsChanges in plasma quercetin levels, cardiovascular and thrombotic factorsChanges in BPChanges in BPChanges in cardiometabolic riskChanges in endothelial function
Participants
Case20341319a 934949
22b
Control20281419c 934349
22d
Age, y
Case46.5±9.946.4 (±4.5)42.0±2.747.8±3.5a 45.1 (10.53)46.1±7.1 (32–62)59.4±0.9
49.2±2.9b
Control48.0±8.441.5±2.947.8±3.5c 45.1 (10.53)42.4±8.2 (23–55)59.4±0.9
49.2±2.9d
Male (%)
Case00NS68.4a 45.2100100
59.1b
Control00NS68.4c 45.12100100
59.1d
BMI, kg/m2
Case27.99±4.4NS26.2±1.129.6±1.3a 30.6 (3.23)24.7±3.026.3±0.3
29.3±1.3b
Control30.70±4.6NS26.0±1.329.8±1.3c 30.6 (3.23)24.9±2.826.3±0.3
29.5±1.4d
TC, mg/dL
CaseNS189.2±7.5196.83±10.05198.37±8.89a 221.19 (39.83)193.5±32.1209.98±5.41
206.49±8.51b
ControlNS177.6±6.4197.22±9.67197.99±9.28c 219.64 (40.60)194.3±36.4209.98±5.41
205.72±8.12d
LDL‐C, mg/dL
CaseNS106.1±5.5109.82±8.89116.01±7.73a 138.82 (37.51)113.2±20.3135.73±4.64
124.90±9.28b
ControlNS103.6±4.5111.37±6.57117.17±6.57c 137.27 (36.35)115.6±24.7135.73±4.64
115.24±8.12d
HDL‐C, mg/dL
CaseNS45.2±1.758.00±4.2547.95±5.03a 52.20 (17.79)44.3±6.953.36±1.93
47.56±3.48b
ControlNS46.8±2.460.71±4.6447.95±4.64c 50.27 (16.63)45.0±5.353.36±1.93
49.11±3.09d
TG, mg/dL
CaseNS198.4±20.5112.49±19.48177.15±21.26a 161.20 (86.80)163.5±87.7106.29±6.20
205.49±34.54b
ControlNS151±9.4124.89±20.37161.20±21.26c 172.72 (87.69)185.0±91.6106.29±6.20
209.92±30.11d
Glucose, mg/dL
CaseNSNSNS107.82±4.5a 98.82 (12.24)108.3±18.1100.8±1.44
108.00±3.6b
ControlNSNSNS102.24±3.24c 97.92 (12.6)109.9±28.5100.8±1.44
114.66±5.04d
Smoking %
Case00NS0a 0100NS
0b
Control00NS0c 0100NS
0d
T2DM %
CaseNS100NS0a 000
0b
ControlNS100NS0c 000
0d
Dyslipidemia %
CaseNSNSNS0a NSNS0
0b
ControlNSNSNS0c NSNS0
0d
HTN %
Case0NSNS0a 000
53.65b
Control0NSNS0c 000
53.65d
CHD %
CaseNSNSNSNSa 00NS
NSb
ControlNSNSNSNSc 00NS
NSd
SBP, mm Hg
Case113.75±18.47117.0±2.0121.6±4.2132±1a 130.3 (16.4)132.9±14.9132.9±2.2
145±2b
Control121.13±15.99110±2.0120.4±3.5135±3c 130.3 (16.4)135.5±11.3132.9±2.2
141±2d
DBP, mm Hg
Case78.13±9.9679±1079.3±2.885±1a 81.6 (9.3)88.7±9.980.8±1.3
97±1b
Control86.75±9.5073±1075.5±2.484±1c 81.6 (9.3)86.9±10.480.8±1.3
94±2d

Values are expressed as mean±SD or median (25–75 percentiles). BMI indicates body mass index; BP, blood pressure; CHD, coronary heart disease; DBP, diastolic blood pressure; DM, diabetes mellitus; HDL‐C, high‐density lipoprotein cholesterol; hs‐CRP, high‐sensitivity C‐reactive protein; HTN, hypertension; LDL‐C, low‐density lipoprotein cholesterol; NS, not stated; SBP, systolic blood pressure; T2DM, type 2 diabetes mellitus; TC, total cholesterol; TAG, triacylglycerol; TG, triglycerides.

730 mg quercetin/day—prehypertension patients.

730 mg quercetin/day—stage 1 HTN patients.

Placebo—prehypertension patients.

Placebo—stage 1 HTN patients.

Demographic Characteristics of the Included Studies Values are expressed as mean±SD or median (25–75 percentiles). BMI indicates body mass index; BP, blood pressure; CHD, coronary heart disease; DBP, diastolic blood pressure; DM, diabetes mellitus; HDL‐C, high‐density lipoprotein cholesterol; hs‐CRP, high‐sensitivity C‐reactive protein; HTN, hypertension; LDL‐C, low‐density lipoprotein cholesterol; NS, not stated; SBP, systolic blood pressure; T2DM, type 2 diabetes mellitus; TC, total cholesterol; TAG, triacylglycerol; TG, triglycerides. 730 mg quercetin/day—prehypertension patients. 730 mg quercetin/day—stage 1 HTN patients. Placebo—prehypertension patients. Placebo—stage 1 HTN patients.

Risk of Bias Assessment

The assessment of risk of bias in the included studies using Cochrane criteria is shown in Table 2.
Table 2

Risk of Bias Assessment in the Studies Included in This Meta‐Analysis

StudyReferenceSequence GenerationAllocation ConcealmentBlinding of Participants and PersonnelBlinding of Outcome AssessmentIncomplete Outcome DataSelective Outcome ReportingOther Potential Threats to Validity
Javadi et al 32 LULLLLL
Zahedi et al 33 LLLLLLL
Conquer et al 34 UULLLLL
Edwards et al 35 UULLULL
Egert et al 36 LULLLLL
Lee et al 37 UULLLLL
Pfeuffer et al 38 UULLLLL

H indicates high risk of bias; L, low risk of bias; U, unclear risk of bias.

Risk of Bias Assessment in the Studies Included in This Meta‐Analysis H indicates high risk of bias; L, low risk of bias; U, unclear risk of bias.

Effect of Quercetin on SBP

Meta‐analysis of data from 9 treatment arms showed significant reductions in SBP (WMD: −3.04 mm Hg, 95% CI: −5.75, −0.33, P=0.028) following supplementation with quercetin (Figure 2 upper part). Removal of the study by Zahedi et al33 from the meta‐analysis yielded a nonsignificant effect size equivalent to −1.78 mm Hg; 95% CI: −4.07, 0.52, P=0.129. When the RCTs were stratified according to the duration of supplementation, there was no significant effect in the subsets of studies lasting <8 weeks (WMD: −2.18 mm Hg, 95% CI: −5.00, 0.64, P=0.130), while a marginally significant reducing effect was observed in trials with ≥8 weeks of follow‐up (WMD: −3.57 mm Hg, 95% CI: −7.51, 0.37, P=0.076). Likewise, a significant effect of quercetin was observed in the subset of trials administering doses ≥500 mg/day (WMD: −4.45 mm Hg, 95% CI: −7.70, −1.21, P=0.007) but not in the subset with <500 mg/day doses (WMD: −1.59 mm Hg, 95% CI: −4.44, 1.25, P=0.273) (Figure 3). When dose classification was set at ≤500 and >500 mg/day, no significant change was observed in either of the subgroups (P>0.05 for both). Adjusted indirect comparison did not suggest any significant difference between either of the dose (ΔWMD: −5.01 mm Hg, 95% CI: −9.19, −0.83, Δz‐score: −2.35, P>0.05) and supplementation duration (ΔWMD: −4.35 mm Hg, 95% CI: −8.46, −0.24, Δz‐score: −2.08, P>0.05) subgroup pairs.
Figure 2

Forest plot displaying weighted mean difference and 95% CIs for the impact of quercetin on systolic (upper plot) and diastolic (lower plot) blood pressures.

Figure 3

Forest plot displaying weighted mean difference and 95% CIs for the impact of quercetin on systolic blood pressure in different subgroups of trials stratified according to the administered quercetin dose and duration of supplementation.

Forest plot displaying weighted mean difference and 95% CIs for the impact of quercetin on systolic (upper plot) and diastolic (lower plot) blood pressures. Forest plot displaying weighted mean difference and 95% CIs for the impact of quercetin on systolic blood pressure in different subgroups of trials stratified according to the administered quercetin dose and duration of supplementation.

Effect of Quercetin on DBP

Combined analysis of 9 RCT arms revealed a significant reduction of DBP (WMD: −2.63 mm Hg, 95% CI: −3.26, −2.01, P<0.001) following supplementation with quercetin (Figure 2 lower part). Removal of the study by Zahedi et al33 yielded an effect size equivalent to −0.98 mm Hg (95% CI: −2.44, 0.49, P=0.191). In subgroup analysis, a marginally significant effect was found in the subset of trials with <8 weeks of follow‐up (WMD: −1.85 mm Hg, 95% CI: −3.72, 0.02, P=0.053) but not in the subset lasting ≥8 weeks (WMD: −0.88 mm Hg, 95% CI: −3.23, 1.47, P=0.464) (Figure 3). When the studies were categorized according to administered quercetin dose, there was a greater DBP‐reducing effect in trials with ≥500 mg/day (WMD: −2.98 mm Hg, 95% CI: −3.64, −2.31, P<0.001) versus those with <500 mg/day dosage (WMD: −0.24 mm Hg, 95% CI: −2.00, 1.52, P=0.788) (Figure 4). This result was also consistent when the dose classification was set at ≤500 and >500 mg/day (P>0.05 and <0.05, respectively). However, adjusted indirect comparison did not suggest any significant difference between either of the dose (ΔWMD: −2.74 mm Hg, 95% CI: −4.34, −1.14, Δz‐score: −3.36, P>0.05) and supplementation duration (ΔWMD: −0.88 mm Hg, 95% CI: −2.68, 0.92, Δz‐score: −0.96, P>0.05) subgroup pairs.
Figure 4

Forest plot displaying weighted mean difference and 95% CIs for the impact of quercetin on diastolic blood pressure in different subgroups of trials stratified according to the administered quercetin dose and duration of supplementation.

Forest plot displaying weighted mean difference and 95% CIs for the impact of quercetin on diastolic blood pressure in different subgroups of trials stratified according to the administered quercetin dose and duration of supplementation.

Meta‐Regression Analysis

Potential associations between the antihypertensive effects of quercetin with dose and duration of supplementation were evaluated using meta‐regression analysis. SBP‐lowering effect of quercetin was associated with duration of supplementation (slope: −0.92; 95% CI: −1.52, −0.32; P=0.003) but not the administered dose (slope: −0.003; 95% CI: −0.01, 0.07; P=0.548). With respect to DBP, there was a dose–response association (slope: −0.07; 95% CI: −0.01, −0.002; P=0.005) but the observed effect size was independent of supplementation duration (slope: −0.22; 95% CI: −0.62, 0.18; P=0.276) (Figure 5). Using a covariance matrix analysis of regression coefficients, the covariance of treatment dose and duration was 0 for SBP analysis and −0.0001 for DBP analysis.
Figure 5

Meta‐regression bubble plots of the association between mean changes in systolic and diastolic blood pressure values after quercetin supplementation with quercetin dose and duration of supplementation. The size of each circle is inversely proportional to the variance of change.

Meta‐regression bubble plots of the association between mean changes in systolic and diastolic blood pressure values after quercetin supplementation with quercetin dose and duration of supplementation. The size of each circle is inversely proportional to the variance of change. Visual inspection of the funnel plot of SE versus effect size (mean difference) suggested a potential publication bias for the impact of quercetin on both SBP and DBP. Using trim‐and‐fill correction, 4 and 3 potentially missing studies were imputed for the analysis of SBP and DBP, respectively. The imputed effect sizes of quercetin on SBP and DBP were −4.51 mm Hg (95% CI: −6.55, −2.47; P<0.05) and −2.83 mm Hg (95% CI: −3.44, −2.22; P<0.05), respectively (Figure 6).
Figure 6

Funnel plot displaying publication bias in the studies reporting the impact of quercetin on systolic (upper plot) and diastolic (lower plot) blood pressure. The size of each circle is inversely proportional to the variance of change.

Funnel plot displaying publication bias in the studies reporting the impact of quercetin on systolic (upper plot) and diastolic (lower plot) blood pressure. The size of each circle is inversely proportional to the variance of change. In addition to visual inspection of funnel plots, presence of publication bias was explored using Begg's rank correlation test, Egger's linear regression test, and “fail‐safe N” test. The results of these tests are summarized in Table 3.
Table 3

Assessment of Publication Bias in the Impact of Quercetin on Blood Pressure

Begg's Rank Correlation TestEgger's Linear Regression TestFail‐Safe N Test
Kendall's Taua z‐Value P ValueIntercept95% CI t df P Valuenb
SBP, mm Hg−0.080.310.7541.690.91, 2.475.1270.00154
DBP, mm Hg0.080.310.7540.94−0.24, 2.131.8870.10231

DBP indicates diastolic blood pressure; SBP, systolic blood pressure.

With continuity correction.

Number of theoretically missing studies.

Assessment of Publication Bias in the Impact of Quercetin on Blood Pressure DBP indicates diastolic blood pressure; SBP, systolic blood pressure. With continuity correction. Number of theoretically missing studies.

Discussion

To our knowledge, the present meta‐analysis is the first to assess the effects of quercetin supplementation on BP based on the results from RCTs. Meta‐analysis of data from 9 treatment arms showed significant reductions in SBP and DBP following supplementation with quercetin. The estimated effect sizes for the impact of quercetin on BP were sensitive only to the study of Zahedi et al.33 The distinctive feature of this study in comparison to other studies included in the meta‐analysis is recruitment of diabetic subjects. Hence, the greater effect size observed by Zahedi et al33 might be attributed to the higher activity of quercetin in diabetic subjects attributable to the reported hypoglycemic and insulin‐sensitizing activities of this phytochemical in diabetes, which can eventually lead to attenuation of diabetes‐induced vasoconstriction.7, 39 In addition, the heightened state of oxidative stress in diabetes might justify a more sizable effect of quercetin as an efficient antioxidant,25 providing another potential mechanism for the antihypertensive effect of quercetin. The calculated BP‐lowering effect of quercetin is substantial (−3.04, −2.63 mm Hg SBP/DBP), particularly considering that the cohorts of the studies included were largely made up of normotensive individuals. When the RCTs were stratified according to the duration of supplementation, there was no significant effect in the subsets of studies lasting <8 weeks, while a marginally significant reducing effect was observed in trials with ≥8 weeks of follow‐up. Likewise, a significant effect of quercetin was observed in the subset of trials administering doses ≥500 mg/day, but not in the subset with <500 mg/day doses. The results indicated a significant antihypertensive effect of quercetin supplementation on both SBP and DBP. In interpreting the results of the subanalyses based on length of administration and dose, caution should be used because of loss of statistical power attributable to RCT stratification, and because indirect comparison tests failed to confirm statistically significant differences. Clearly, studies directly comparing different doses or treatment duration are necessary. The mechanisms accountable for these effects of quercetin are not completely understood, with multiple modulation in cell signaling and gene expression being the most probable. Some attempts to clarify the mechanism of action of quercetin in hypertension were performed.40, 41 Hypotheses tested in different experimental and clinical trials included the following: lowering of oxidative stress,19 interference with the renin–angiotensin system,42 improvement of endothelial function,43 downregulation of endothelin‐1 expression,44 downregulation of nicotinamide adenine dinucleotide phosphate‐oxidase,45 increasing of endothelial nitric oxide synthase activity,45 downregulation of angiotensin II 1a receptor expression in the kidney, or improving the balance between circulating endothelin‐1 and NO.22 Also, the exact contribution of quercetin metabolites to the overall antihypertensive effect must be clarified: about 90% of dietary quercetin is not absorbed and undergoes extensive metabolization by colic microbiota, resulting in phenolic acids, compounds that have not been investigated yet in the context of hypertension.46 Furthermore, the antihypertensive effects of quercetin and captopril were similar in an experimental study on Dahl salt‐sensitive rats.22 A challenge to the explanation of quercetin bioactivity was represented, until recently, by the contradiction between its extremely low plasma concentration after oral administration and the demonstrable systemic effects.47 The resolution of this inconsistency, termed the “flavonoid paradox” came with the full comprehension of the conjugation–deconjugation steps of these compounds in humans.9 It has been proven that after oral absorption, quercetin is rapidly converted to circulating conjugates through glucuronidation, sulfatation, or methylation, as a measure of classical xenobiotic detoxification.46 This accounts for the very low aglycone concentrations in human plasma (in the nanomolar range).48 At a vascular level, quercetin glucuronides, but not sulfoconjugates, are freed of their sugar moiety by a deconjugation process performed by β‐glucuronidases, and the free aglycone is delivered to tissues.9 Given the importance of quercetin glucuronide deconjugation, β‐glucuronidase activity is crucial for the therapeutic effectiveness of this flavonol.9 Furthermore, correlations between β‐glucuronidase activity and apo E phenotype49 may explain the efficacy of quercetin in patients with apo E3 phenotype as opposed to those expressing apo E4 phenotype.50 On the other hand, an increased activity of β‐glucuronidase under inflammatory conditions has also been pointed out, raising the hypothesis that quercetin may be more effective under inflammatory conditions—a valuable aspect since hypertension may be associated with comorbidities having an inflammatory component.51 Our findings that higher doses (>500 mg) of quercetin yield greater effect size on BP are to a certain extent opposite to those obtained in the Cancer Prevention Study II Nutrition Cohort that reported that even relatively small quantities of flavonoid‐rich foods may be beneficial in reducing the risk of cardiovascular disease.52 This could be explained by the fact that the amounts used in most dietary intervention studies are higher than those used in the general public. Indeed, a recent trial showed that the habitual intake of flavonoids in Europe is much below the amounts found to have a significant health effect.53 Quercetin has a generally recognized as safe status according to the U.S. Food and Drug Administration; only some minor side‐effects such as headache, nausea, and tingling of the extremities were observed in long‐term quercetin supplementation at 1000 mg/day.54 In 2011, the European Food Safety Authority released a variety of health claims underlying the protective effects of quercetin against oxidative damage.55 Considering the seasonality of food extracts of flavonoids, the Recommended Dietary Allowance of total flavonoids might be between 250 and 400 mg/day.56 This meta‐analysis has several limitations. Most importantly, eligible RCTs involved in this meta‐analysis had small populations and short durations of follow‐up. The number of included studies also was not large enough to allow robust subgroup analyses. Moreover, there is considerable heterogeneity in the groups studied: females with rheumatoid arthritis, females with diabetes, healthy people, overweight high‐risk subjects, and male smokers. Finally, most of the individuals included were normotensive or prehypertensive. It will be necessary to evaluate the effects of quercetin supplementation on long‐term control of hypertension and its complications. In conclusion, the results of this meta‐analysis showed a significant effect of quercetin supplementation in the reduction of BP, which suggest that this nutraceutical might be considered as an add‐on to antihypertensive therapy. Further well‐designed trials are necessary to elucidate the clinical value of quercetin supplementation in hypertension therapy, to adjust the dosage, and to explore possible drug interactions between quercetin and antihypertensive drugs, as this flavonol is metabolized by the cytochrome P450 system.57, 58 Additional long‐term studies on quercetin safety at pharmacological doses are warranted as well, since quercetin supplementation as an antihypertensive implies a 10‐ to 60‐fold increase in its average dietary intake. Exploration of possibly greater benefits of quercetin supplementation in RCTs among hypertensive and/or diabetic populations merits further investigations.

Appendix

The Lipid and Blood Pressure Meta‐analysis Collaboration (LBPMC) Group members are the following: Maciej Banach, MD, PhD, FAHA, Maria‐Corina Serban, MD, PhD, Amirhossein Sahebkar, PharmD, Alberto Zanchetti, MD, PhD, Dimitri P. Mikhailidis, MD, PhD, George Howard, DrPH, Diana Antal, PharmD, Florina Andrica, PhDs, Ali Ahmed, MD, MPH, Wilbert S. Aronow, MD, Paul Muntner, PhD, Gregory Y.H. Lip, MD, Ian Graham, MD, PhD, Nathan Wong, MD, PhD, and Jacek Rysz, MD, PhD.

Disclosures

None. This meta‐analysis was written independently; no company or institution supported it financially. Some of the authors have given talks, attended conferences, and participated in trials and advisory boards sponsored by various pharmaceutical companies. No professional writer was involved in the preparation of this meta‐analysis.
  52 in total

1.  Antihypertensive effect of quercetin in rats fed with a high-fat high-sucrose diet.

Authors:  Yukiko Yamamoto; Eriko Oue
Journal:  Biosci Biotechnol Biochem       Date:  2006-04       Impact factor: 2.043

Review 2.  Nanoparticle-delivered quercetin for cancer therapy.

Authors:  Ke Men; Xingmei Duan; Xia Wei Wei; Ma Ling Gou; Mei Juan Huang; Li Juan Chen; Zhi Yong Qian; Yu Quan Wei
Journal:  Anticancer Agents Med Chem       Date:  2014       Impact factor: 2.505

3.  Deglucuronidation of a flavonoid, luteolin monoglucuronide, during inflammation.

Authors:  K Shimoi; N Saka; R Nozawa; M Sato; I Amano; T Nakayama; N Kinae
Journal:  Drug Metab Dispos       Date:  2001-12       Impact factor: 3.922

4.  Effect of quercetin on traits of the metabolic syndrome, endothelial function and inflammation in men with different APOE isoforms.

Authors:  M Pfeuffer; A Auinger; U Bley; I Kraus-Stojanowic; C Laue; P Winkler; C E Rüfer; J Frank; C Bösch-Saadatmandi; G Rimbach; J Schrezenmeir
Journal:  Nutr Metab Cardiovasc Dis       Date:  2011-11-25       Impact factor: 4.222

Review 5.  Bioavailability and bioefficacy of polyphenols in humans. I. Review of 97 bioavailability studies.

Authors:  Claudine Manach; Gary Williamson; Christine Morand; Augustin Scalbert; Christian Rémésy
Journal:  Am J Clin Nutr       Date:  2005-01       Impact factor: 7.045

6.  Inhibition of angiotesin-converting enzyme by quercetin alters the vascular response to brandykinin and angiotensin I.

Authors:  L P N Häckl; G Cuttle; Sanches S Dovichi; M T Lima-Landman; M Nicolau
Journal:  Pharmacology       Date:  2002-08       Impact factor: 2.547

7.  Quercetin reduces systolic blood pressure and plasma oxidised low-density lipoprotein concentrations in overweight subjects with a high-cardiovascular disease risk phenotype: a double-blinded, placebo-controlled cross-over study.

Authors:  Sarah Egert; Anja Bosy-Westphal; Jasmin Seiberl; Claudia Kürbitz; Uta Settler; Sandra Plachta-Danielzik; Anika E Wagner; Jan Frank; Jürgen Schrezenmeir; Gerald Rimbach; Siegfried Wolffram; Manfred J Müller
Journal:  Br J Nutr       Date:  2009-04-30       Impact factor: 3.718

8.  Quercetin inhibits collagen-stimulated platelet activation through inhibition of multiple components of the glycoprotein VI signaling pathway.

Authors:  G P Hubbard; J M Stevens; M Cicmil; T Sage; P A Jordan; C M Williams; J A Lovegrove; J M Gibbins
Journal:  J Thromb Haemost       Date:  2003-05       Impact factor: 5.824

9.  Serum lipid and blood pressure responses to quercetin vary in overweight patients by apolipoprotein E genotype.

Authors:  Sarah Egert; Christine Boesch-Saadatmandi; Siegfried Wolffram; Gerald Rimbach; Manfred J Müller
Journal:  J Nutr       Date:  2009-12-23       Impact factor: 4.798

10.  Quercetin protects against diabetes-induced exaggerated vasoconstriction in rats: effect on low grade inflammation.

Authors:  Mona F Mahmoud; Noura A Hassan; Hany M El Bassossy; Ahmed Fahmy
Journal:  PLoS One       Date:  2013-05-22       Impact factor: 3.240

View more
  46 in total

1.  Association between flavonoid intake and risk of hypertension in two cohorts of Australian women: a longitudinal study.

Authors:  Vinicius A do Rosario; Danielle A J M Schoenaker; Katherine Kent; Katrina Weston-Green; Karen Charlton
Journal:  Eur J Nutr       Date:  2020-11-07       Impact factor: 5.614

Review 2.  Put "gender glasses" on the effects of phenolic compounds on cardiovascular function and diseases.

Authors:  Ilaria Campesi; Maria Marino; Manuela Cipolletti; Annalisa Romani; Flavia Franconi
Journal:  Eur J Nutr       Date:  2018-04-25       Impact factor: 5.614

Review 3.  Lifestyle interventions for the prevention and treatment of hypertension.

Authors:  Pedro L Valenzuela; Pedro Carrera-Bastos; Beatriz G Gálvez; Gema Ruiz-Hurtado; José M Ordovas; Luis M Ruilope; Alejandro Lucia
Journal:  Nat Rev Cardiol       Date:  2020-10-09       Impact factor: 32.419

Review 4.  Clinical Advances in Immunonutrition and Atherosclerosis: A Review.

Authors:  Ana María Ruiz-León; María Lapuente; Ramon Estruch; Rosa Casas
Journal:  Front Immunol       Date:  2019-04-24       Impact factor: 7.561

Review 5.  The effects of phytochemicals and herbal bio-active compounds on tumour necrosis factor-α in overweight and obese individuals: a clinical review.

Authors:  Mohammad Bagherniya; Atena Mahdavi; Elahe Abbasi; Milad Iranshahy; Thozhukat Sathyapalan; Amirhossein Sahebkar
Journal:  Inflammopharmacology       Date:  2022-01-08       Impact factor: 4.473

6.  Quercetin Mitigates Endothelial Activation in a Novel Intestinal-Endothelial-Monocyte/Macrophage Coculture Setup.

Authors:  Hanne Vissenaekens; Charlotte Grootaert; Katleen Raes; Julie De Munck; Guy Smagghe; Nico Boon; John Van Camp
Journal:  Inflammation       Date:  2022-03-30       Impact factor: 4.092

Review 7.  Caloric restriction-mimetics for the reduction of heart failure risk in aging heart: with consideration of gender-related differences.

Authors:  Lei Pang; Xi Jiang; Xin Lian; Jie Chen; Er-Fei Song; Lei-Gang Jin; Zheng-Yuan Xia; Hai-Chun Ma; Yin Cai
Journal:  Mil Med Res       Date:  2022-07-04

Review 8.  New Insights on the Use of Dietary Polyphenols or Probiotics for the Management of Arterial Hypertension.

Authors:  José L de Brito Alves; Vanessa P de Sousa; Marinaldo P Cavalcanti Neto; Marciane Magnani; Valdir de Andrade Braga; João H da Costa-Silva; Carol G Leandro; Hubert Vidal; Luciano Pirola
Journal:  Front Physiol       Date:  2016-10-06       Impact factor: 4.566

9.  Free and Conjugated Phenolic Profiles and Antioxidant Activity in Quinoa Seeds and Their Relationship with Genotype and Environment.

Authors:  Fabiana Antognoni; Giulia Potente; Stefania Biondi; Roberto Mandrioli; Lorenzo Marincich; Karina B Ruiz
Journal:  Plants (Basel)       Date:  2021-05-21

10.  The Impact of Functional Bars and Adapted Physical Activity on Quality of Life in Chronic Kidney Disease: A Pilot Study.

Authors:  Elisa Grazioli; Eliana Tranchita; Giulia Marrone; Silvia Urciuoli; Manuela Di Lauro; Claudia Cerulli; Nicolò Piacentini; Arianna Murri; Roberto Celotto; Annalisa Romani; Attilio Parisi; Nicola Di Daniele; Annalisa Noce
Journal:  Int J Environ Res Public Health       Date:  2022-03-10       Impact factor: 3.390

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.