| Literature DB >> 26959052 |
Guan-Yu Ren1,2, Chun-Yang Chen3,4, Guo-Chong Chen5, Wei-Guo Chen6, An Pan7, Chen-Wei Pan8, Yong-Hong Zhang9, Li-Qiang Qin10, Li-Hua Chen11.
Abstract
Functional food-flaxseed and its derivatives (flaxseed oil or lignans) are beneficial for human health, possibly because of their anti-inflammatory effects. C-reactive protein (CRP), a sensitive marker of inflammation was chosen to evaluate the anti-inflammatory effects of flaxseed. We searched randomized controlled trials from PubMed and the Cochrane Library in October 2015 and conducted a meta-analysis to evaluate the effectiveness of flaxseed and its derivatives on CRP. The mean differences (net change) in CRP (mg/L) concentrations were pooled with a random- or a fixed-effects model depending on the results of heterogeneity tests. Overall, flaxseed interventions had no effects on reduction of CRP (p = 0.428). The null effects were consistent in the subgroup analysis with multiple studies and population characteristics. Significant heterogeneity was observed in most of the analyses. Meta-regression identified baseline body mass index (BMI) as a significant source of heterogeneity (P-interaction = 0.032), with a significant reduction in CRP of 0.83 mg/L (95% confidence interval -1.34 to -0.31; p = 0.002) among subjects with a BMI of ≥30 kg/m². In conclusion, our meta-analysis did not find sufficient evidence that flaxseed and its derivatives have a beneficial effect on reducing circulating CRP. However, they may significantly reduce CRP in obese populations.Entities:
Keywords: C-reactive protein; flaxseed; meta-analysis; randomized controlled trials
Mesh:
Substances:
Year: 2016 PMID: 26959052 PMCID: PMC4808865 DOI: 10.3390/nu8030136
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Figure 1Flow chart of study selection.
Characteristics of the 20 included studies, with 22 comparisons.
| Author, Publication Year and Reference Number | Enroll | Comp | Mean Age | Mean BMI | Sex Male | Intervention | WF | ALA | LIG | Duration | Patient Features | Jadad Score | Design | Diet Type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Years | % | g/Day | g/Day | mg/Day | ||||||||||
| Barre, 2012 [ | 24 | 16 | 62.2 | 31.2 | 0 | LIG/PLA | NA | NA | 600 | 12 | Overweight or obese | 3 | RC | Usual |
| Bloedon, 2008 [ | 62 | 58 | 56.9 | 27.8 | 50 | GF/WB | 40.0 | 3.2 | 640.0 | 10 | Hypercholesterolemia | 4 | RP | LF LC |
| Demark-Wahnefried, 2008 [ | 80 | 71 | 59.2 | 28.8 | 100 | WF/Control | 30.0 | NR | NR | 4.5 | Prostate cancer | 4 | RP | Usual |
| Demark-Wahnefried, 2008 [ | 81 | 78 | 59.2 | 28.8 | 100 | WF/Control | 30.0 | NR | NR | 4.5 | Prostate cancer | 4 | RP | LF |
| Dodin, 2008 [ | 199 | 177 | 54.7 | 26.2 | 0 | WF/WG | 40.0 | 9.1 | 21.0 | 52 | Healthy | 5 | RP | Usual |
| Faintuch, 2007 [ | 24 | 24 | 40.8 | 47.1 | 17 | FF/MF | 30.0 | 5.0 | NR | 2 | Obese | 4 | RC | Usual |
| Faintuch, 2011 [ | 20 | 18 | 46.3 | 44.9 | 17 | FF/CF | 60.0 | 10.0 | NR | 12 | Obese | 4 | RP | Usual |
| Foster, 2013 [ | 20 | 20 | 65.0 | 28.6 | 0 | FXO/OO | NA | 1.2 | NA | 12 | T2DM | 4 | RP | Usual |
| Hallund, 2008 [ | 23 | 22 | 61.0 | 24.1 | 0 | LIG/PLA | NA | NA | 500.0 | 6 | Healthy | 4 | RC | Usual |
| Hutchins, 2013 [ | 41 | 25 | 58.6 | 30.4 | 44 | GF/0 | 13.0 | 2.9 | 59.0 | 12 | Overweight or obese | 3 | RP | Usual |
| Hutchins, 2013 [ | 41 | 25 | 58.6 | 30.4 | 44 | GF/0 | 26.0 | 5.8 | 118.0 | 12 | Overweight or obese | 3 | RP | Usual |
| Kaul, 2008 [ | 100 | 88 | 33.7 | 24.7 | 38 | FXO/SFO | NA | 1.0 | NA | 12 | Healthy | 3 | RP | Usual |
| Khalatbari, 2013 [ | 30 | 30 | 54.2 | 26.3 | 53 | GF/Control | 40.0 | NR | NR | 8 | Hemodialysis patients | 3 | RP | Usual |
| Kontogianni, 2013 [ | 53 | 37 | 25.6 | 21.9 | 21 | FXO/OO | NA | 8.0 | NA | 6 | Healthy | 2 | RC | Usual |
| Lemos, 2012 [ | 160 | 114 | 57.0 | 24.7 | 58 | FXO/MO | NA | 2.0 | NA | 17 | Renal failure | 3 | RP | Usual |
| Nelson, 2007 [ | 56 | 51 | 38.0 | 29.8 | 21 | FXO/Control | NA | 11.6 | NA | 8 | Overweight or obese | 2 | RP | Usual |
| Nordstrom, 1995 [ | 22 | 22 | 52 | NR | NR | FXO/SAO | NA | 9.6 | NA | 12 | Rheumatoid arthritis | 3 | RP | Usual |
| Pan, 2009 [ | 73 | 70 | 64 | 25.0 | 37 | LIG/PLA | NA | NA | 360.0 | 12 | T2DM | 5 | RC | Usual |
| Rallidis, 2003 [ | 76 | 76 | 51.2 | 28.2 | 100 | FXO/SAO | NA | 8.0 | NA | 12 | Dyslipidaemic patients | 3 | RP | Usual |
| Rhee, 2011 [ | 11 | 9 | 54.7 | 31.4 | 44 | GF/WB | 40 | NR | NR | 12 | Obese and glucose intolerant people | 2 | RC | Usual |
| Vargas, 2011 [ | 34 | 34 | 34.1 | 29.2 | 0 | FXO/SOY | NA | 3.3 | NA | 6 | Polycystic ovary syndrome | 3 | RC | Usual |
| Zong, 2013 [ | 189 | 173 | 48.8 | 25.3 | 56 | GF/0 | 30 | 7.0 | NR | 12 | Metabolic syndrome | 5 | RP | Usual |
ALA: α-linolenic acid; BMI: body mass index; CF: cassava flour; Comp: completer; Enroll: enrollment; FF: flaxseed flour; FXO: flaxseed oil; GF: ground flaxseed; LC: low cholesterol; LF: low fat; LIG: lignans; MF: manioc flour; NA: not applicable; NR: not reported; OO: olive oil; PLA: placebo; RC: randomized crossover design; RP: randomized parallel design; SAO: safflower oil; Soyb: soybean oil; SFO: sunflower oil; T2DM: type 2 diabetes mellitus; WB: wheat bran; WF: whole flaxseed; WG: wheat germ.
Figure 2Meta-analysis of flaxseed intervention on net changes (95% CI) of CRP. CI: confidence interval. WMD: weighted mean difference; The horizontal lines denote the 95% CIs: some of which extend beyond the limits of the scales. The square represents the point estimate of each study. The diamond represents the overall pooled estimate of the treatment effect.
Pooled estimates of effects on CRP within various subgroups.
| Subgroups | No. of Comparisons | Net Change (95% CI) | Analysis Models | |||
|---|---|---|---|---|---|---|
| Whole flaxseed | 11 | −0.35 (−0.75, 0.05) | 0.008 | 46.3% | 0.045 | Random-effect |
| Flaxseed oil | 8 | 0.39 (−0.09, 0.87) | 55.6% | 0.027 | Random-effect | |
| Lignan | 3 | −0.36 (−0.77, 0.05) | 0.00% | 0.089 | Fixed-effect | |
| <40 g | 6 | −0.34 (−0.85, 0.17) | 0.258 | 47.9% | 0.087 | Random-effect |
| ≥40 g | 5 | −0.63 (−1.62, 0.36) | 55.4% | 0.062 | Random-effect | |
| <10 mg/L | 19 | −0.10 (−0.41, 0.21) | 0.064 | 65.7% | <0.0001 | Random-effect |
| ≥10 mg/L | 3 | −3.04 (−6.93, 0.85) | 34.1% | 0.220 | Fixed-effect | |
| <30 kg/m2 | 15 | 0.06 (−0.25, 0.37) | 0.032 | 63.6% | <0.0001 | Random-effect |
| ≥30 kg/m2 | 6 | −0.83 (−1.34, −0.31) | 21.8% | 0.270 | Fixed-effect | |
| Female | 4 | 0.30 (−0.34, 0.95) | 0.191 | 82.1% | 0.001 | Random-effect |
| Male | 3 | −0.06 (−0.60, 0.49) | 0.00% | 0.464 | Fixed-effect | |
| Both | 15 | −0.39 (−0.82, 0.04) | 57.6% | 0.003 | Random-effect | |
| Crossover | 7 | 0.01 (−0.47, 0.49) | 0.638 | 65.9% | 0.015 | Random-effect |
| Parallel | 15 | −0.23 (−0.66, 0.20) | 61.9% | <0.0001 | Random-effect | |
| <12 weeks | 9 | 0.09 (−0.31, 0.50) | 0.649 | 48.9% | 0.048 | Random-effect |
| ≥12 weeks | 13 | −0.31 (−0.77, 0.16) | 69.1% | <0.0001 | Random-effect | |
| <50 | 10 | −0.20 (−0.99, 0.58) | 0.710 | 69.4% | 0.001 | Random-effect |
| ≥50 | 12 | −0.15 (−0.45, 0.15) | 51.7% | 0.019 | Random-effect | |
| <50 years | 7 | 0.27 (−0.17, 0.70) | 0.268 | 52.2% | 0.051 | Random-effect |
| ≥50 years | 15 | −0.32 (−0.74, 0.10) | 66.5% | <0.0001 | Random-effect | |
| <4 | 12 | −0.39 (−0.97, 0.20) | 0.902 | 68.1% | <0.0001 | Random-effect |
| ≥4 | 10 | −0.32 (−0.37, 0.37) | 61.6% | 0.005 | Random-effect |
p for interaction: for heterogeneity between subgroups with meta-regression analysis.
Figure 3Funnel plots for testing publication bias.