Yali
Wei
a,
Yan
Meng
b,
Na
Li
c,
Qian
Wang
b and
Liyong
Chen
*ab
aDepartment of Toxicology and Nutrition, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China. E-mail: chenle73@sina.com; weiyali0811@163.com; Tel: (+86)15168867157
bDepartment of Nutrition, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China. E-mail: mengsandy@aliyun.com; wangqian.0821@163.com
cInstitute of Agro-Food Science and Technology, Shandong Academy of Agricultural Sciences/Shandong Provincial Food for Special Medical Purpose Engineering Technology Research Center/Key Laboratory of Agro-Products Processing Technology of Shandong Province/Key Laboratory of Novel Food Resources Processing, Ministry of Agriculture and Rural Affairs, Jinan, China. E-mail: 2803729865@qq.com
First published on 24th November 2020
Objective: The purpose of the systematic review and meta-analysis was to determine if low-ratio n-6/n-3 long-chain polyunsaturated fatty acid (PUFA) supplementation affects serum inflammation markers based on the current studies. Methods: PubMed, Embase and The Cochrane library databases were systematically searched to find randomized controlled trials (RCTs) on the effect of low-ratio n-6/n-3 PUFA intervention on inflammation markers up to July 2020. Data were pooled using standardized mean difference (SMD) and 95% confidence intervals (95% CI), with P value ≦ 0.05 as statistical significance. Results: Thirty-one RCTs were included in the meta-analysis. The analysis indicated that increasing low-ratio n-6/n-3 PUFA supplementation decreased the level of tumor necrosis factor-α (TNF-α) (SMD = −0.270; 95% CI: −0.433, −0.106; P = 0.001) and interleukin 6 (IL-6) (SMD = −0.153; 95% CI: −0.260, −0.045; P = 0.005). There were no significant effects on C-reactive protein (CRP) (SMD = −0.027; 95% CI: −0.189: 0.135; P = 0.741). Subgroup analysis indicated that there was a significant reduction in TNF-α serum concentration in subjects from Asia (SMD: −0.367; 95% CI: −0.579, −0.155; P = 0.001) and in subjects with diseases (SMD: −0.281; 95% CI: −0.436, −0.127; P < 0.001). In the subgroup of the n-6/n-3 ratio ≦5, low-ratio n-6/n-3 PUFA supplementation could decrease the level of TNF-α (SMD: −0.335; 95% CI: −0.552, −0.119; P = 0.002). Serum IL-6 decreased significantly in patients from the Europe subgroup (SMD: −0.451; 95% CI: −0.688, −0.214; P < 0.001), but not in Asia (SMD: −0.034; 95% CI: −0.226, 0.157; P = 0.724), North America (SMD: −0.115; 95% CI: −0.274, 0.044; P = 0.157) and Oceania (SMD: 0.142; 95% CI: −0.557, 0.842; P = 0.690). Conclusion: Low-ratio n-6/n-3 PUFA supplementation could decrease significantly the concentration of serum TNF-α and IL-6, but not decrease CRP concentration.
As important members of PUFA, omega-6 fatty acid (ω-6 fatty acid or n-6 fatty acid) and omega-3 fatty acid (ω-3 fatty acid or n-3 fatty acid) have attracted much attention in recent years. Among omega-3 fatty acids, there are α-linolenic acid (ALA), eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). Omega-6 fatty acids include linoleic acid (LA), γ-linolenic acid (GLA) and arachidonic acid. In recent years, many scholars have studied the effects of omega-3 and omega-6 fatty acids on inflammatory factors. Many studies have documented that EPA and DHA are anti-inflammatory and promote inflammation regression.5–7 Some studies have found no effects of omega-3 fatty acid on inflammatory markers.8 A higher ratio of n-6/n-3 PUFA increases the risk of obesity, further increasing the levels of inflammatory factors.9 A previous RCT indicated that supplementation with a low n-6/n-3 PUFA ratio had no effect on inflammatory markers.10 There is no consensus on the effects of supplementation with omega-3 and omega-6 fatty acids on inflammatory markers.
There is a competitive inhibition relationship between derivatives of omega-6 and omega-3 fatty acids. The mechanism of interactions is unclear between omega-3 and omega-6 fatty acids in the human body. It is more practical to research the effects of the ratio of omega-6 to omega-3 fatty acids on inflammation. The purpose of this study was to investigate whether supplementation with a low n-6/n-3 PUFA ratio was beneficial to reduce the level of inflammatory markers.
Cochrane Collaboration's tool was used to evaluate the quality of the included articles. The content of assessment included seven aspects: random sequence generation, allocation concealment, blinding, observation bias, loss to follow-up, selective reporting and other bias.
The detailed features of the included studies are presented in Table 1. Selected articles were published from 2003 to 2019: five articles from the USA;13–17 nine articles from Canada,18–20 Iran21–23 and Greece24–26 (three articles each); 12 articles from Spain,27,28 Denmark,29,30 Germany,31,32 UK,33,34 Australia35,36 and China37,38 (two articles each); five articles from Japan,39 New Zealand,40 Norway,41 Italy42 and Croatia43 (one article each). The 31 included trials included a total of 1450 participants ranging in age from 18 to 76. Some subjects were healthy, and some suffered from diseases. The types of disease included metabolic syndrome, hyperlipidemia, rheumatoid arthritis, coronary artery disease, gestational diabetes, polycystic ovary syndrome, type 2 diabetes, hemodialysis, dyslipidemia, obesity, ischemic stroke, hypertriacylglycerolemia and coronary heart disease. Duration ranged from 35 days to 24 weeks. There were two comparisons in the paper by Chiang, Y. L. et al.13 and Baril-Gravel, L. et al.,18 respectively. Kaul, N. et al.,20 Wallace, Fiona A. et al.34 and Zhang, J. et al.37 each had three randomized, parallel controlled trials. Four groups of RCTs involving 123 subjective were carried out simultaneously in the paper by Zhou, Q. et al.38
Study | Year | Country | Design | Population | Participants | Duration | n-6/n-3 | Indicators |
---|---|---|---|---|---|---|---|---|
Abbreviations: CAD: coronary artery disease; CHD: coronary heart disease; CRP: c-reactive protein; D: day; DM2: type 2 diabetes mellitus; GDM: gestational diabetes; HD: hemodialysis; HLP: hypercholesterolemia; IL-6: interleukin-6; MetS: metabolic syndrome; PCOS: polycystic ovary syndrome; RA: rheumatoid arthritis; RCCT: randomized controlled cross trial; RCrT: randomized crossover trial; RCT: randomized controlled trial; RPT: randomized parallel trial. | ||||||||
Baril-Gravel | 2014 | Canada | RCCT | 114/114 | MetS | 4 W | 1.6/46.7;2.4/46.7 | IL-6, CRP |
Capo | 2014 | Spain | RCT | 9/6 | Healthy | 8 W | 1.079/8.39 | TNF-α, IL-6 |
Chiang | 2012 | USA | RCCT | 25/25 | HLP | 4 W | 4.7/9.4; 5.1/9.4 | TNF-α, IL-6, CRP |
Cornish | 2018 | Canada | RCT | 11/12 | Healthy | 12 W | 6.49/9.16 | TNF-α, IL-6 |
Damsgaard | 2008 | Denmark | RPT | 14/17 | Healthy | 8 W | 1.51/7.33 | IL-6, CRP |
Dawczynski | 2018 | Germany | RCCT | 25/25 | RA | 10 W | 0.92/5.66 | CRP |
Dawczynski | 2013 | Germany | RCT | 17/24; 17/14 | HLP | 10 W | 4.1/7.21;1.91/7.21 | CRP |
Agh | 2017 | Iran | RCT | 24/21 | CAD | 8 W | 94.88/145.45 | CRP |
Hallund | 2010 | Denmark | RPT | 23/22 | Healthy | 8 W | 0.16/3.33 | IL-6, CRP |
Han | 2012 | USA | RCrT | 18/18 | High LDL | 35 D | 2.73/7.81 | CRP |
Jamilian | 2016 | Iran | RCT | 27/27 | GDM | 6 W | 18.54/123.5 | CRP |
Kalgaonkar | 2011 | USA | RCT | 17/14 | PCOS | 6 W | 4.61/22.06 | TNF-α, IL-6, CRP |
Kaul | 2008 | Canada | RCT | 22/22 | Healthy | 12 W | 0.05/46;0.3/46;3/46 | TNF-α, CRP |
Kondo | 2014 | Japan | RCrT | 23/23 | DM2 | 4 W | 2.2/6.4 | CRP |
Kontogianni | 2013 | Greece | RCrT | 37/37 | Healthy | 6 W | 1.4/8.3 | TNF-α, CRP |
Kooshki | 2011 | Iran | RCT | 17/17 | HD | 10 W | 4.65/128.57 | TNF-α, IL-6, CRP |
Martorell | 2014 | Spain | RCT | 9/6 | Healthy | 8 W | 1.079/8.39 | CRP |
Minihane | 2005 | UK | RPT | 15/14 | Healthy | 6 W | 9/16 | CRP |
Munro | 2012 | Australia | RCT | 18/14 | Obesity | 4 W | 4.33/8.47 | TNF-α, IL-6, CRP |
Murphy | 2007 | Australia | RCT | 38/36 | Overweight | 24 W | 3.97/6.72 | CRP |
Paschos | 2007 | Greece | RPT | 18/17 | Dyslipidemic | 12 W | 0.27/148.8 | TNF-α |
Poppitt | 2009 | New Zealand | RCT | 47/48 | Ischemic stroke | 12 W | 0.28/8.97 | CRP |
Rallidis | 2003 | Greece | RPT | 50/26 | Dyslipidemic | 12 W | 1.3/13.2 | IL-6, CRP |
Seierstad | 2005 | Norway | RPT | 20/19 | CHD | 6 W | 0.1/1.64 | TNF-α, IL-6, CRP |
Sofi | 2013 | Italy | RCrT | 20/20 | Healthy | 10 W | 0.44/1.27 | TNF-α, IL-6 |
Stupin | 2018 | Croatia | RCT | 20/16 | Healthy | 3 W | 2.63/7.29 | CRP |
Lee | 2014 | USA | RPT | 21/16 | DM2 | 8 W | 1.3/10.2 | CRP |
Vargas | 2011 | USA | RCT | 17/17 | PCOS | 6 W | 0.01/7.27 | CRP |
Wallace | 2007 | UK | RCT | 8/8 | Healthy | 12 W | 3.03/8.13;5.53/8.13;3.6/8.13 | TNF-α, IL-6 |
Zhang | 2012 | China | RCT | 32/33; 32/33; 29/33 | Hypertriacylglycerolemia | 8 W | 4.6/15.1; 5.4/15.1; 7.3/15.1 | TNF-α, IL-6, CRP |
Zhou | 2019 | China | RCT | 23/24; 25/24; 25/24; 26/24 | HLP | 12 W | 6.98/14.93; 4.53/14.93; 3.5/14.93; 2.03/14.93 | TNF-α, IL-6 |
The quality-assessment results are presented in Table 2. All 31 articles used a randomized controlled approach, most using single- or double-blind studies and concealed supplement allocation. Observation bias and loss to follow-up bias were not found in most studies. No other sources of bias were identified in most studies.
Study | Random sequence generation | Allocation concealment | Blinding | Observation bias | Loss to follow-up | Selective reporting | Other bias |
---|---|---|---|---|---|---|---|
Baril-Gravel | Yes | Unclear | Unclear | No | Yes | No | No |
Capo | Yes | Yes | Unclear | Unclear | Yes | No | No |
Chiang | Yes | Unclear | Yes | No | Yes | No | No |
Cornish | Yes | Yes | Yes | No | Yes | No | No |
Damsgaard | Yes | Yes | Yes | No | Yes | No | No |
Dawczynski | Yes | Yes | Yes | No | Yes | No | No |
Dawczynski | Yes | Yes | Yes | No | Yes | No | No |
Agh | Yes | Yes | Yes | No | Yes | No | No |
Hallund | Yes | Yes | Yes | No | Yes | No | No |
Han | Yes | Yes | Yes | No | Unclear | Unclear | Unclear |
Jamilian | Yes | Yes | Yes | No | Yes | No | No |
Kalgaonkar | Yes | Yes | Yes | No | Yes | No | No |
Kaul | Yes | Yes | Yes | No | Yes | No | No |
Kondo | Yes | No | No | Unclear | Yes | No | Unclear |
Kontogianni | Yes | Yes | Yes | Unclear | Yes | No | Unclear |
Kooshki | Yes | Yes | Yes | No | Unclear | Unclear | Unclear |
Martorell | Yes | Yes | Unclear | Unclear | Yes | No | No |
Minihane | Yes | Yes | Yes | Unclear | Unclear | Unclear | Unclear |
Munro | Yes | Yes | Yes | No | Yes | No | No |
Murphy | Yes | Yes | Yes | No | Yes | No | No |
Paschos | Yes | Unclear | Yes | Yes | Unclear | Unclear | Unclear |
Poppitt | Yes | Yes | Yes | No | Yes | No | No |
Rallidis, | Yes | No | No | Yes | No | No | Yes |
Seierstad | Yes | Yes | Yes | No | Yes | No | No |
Sofi | Yes | Unclear | Unclear | Unclear | Yes | No | No |
Stupin | Yes | Yes | Yes | No | Unclear | Unclear | No |
Lee | Yes | Unclear | Yes | No | Yes | No | No |
Vargas | Yes | Unclear | Yes | Unclear | Unclear | Unclear | Unclear |
Wallace | Yes | Yes | Yes | No | Yes Yes | No | No |
Zhang | Yes | Yes | Yes | No | Yes | No | No |
Zhou | Yes | Yes | Yes | No | Yes | No | No |
Variables | Subgroups | Number | SMD (95% CI) | P | |
---|---|---|---|---|---|
TNF-α | Region | Europe | 8 | −0.035 (−0.283, 0.214) | 0.784 |
Asia | 8 | −0.367 (−0.579, −0.155) | 0.001 | ||
North America | 7 | −0.394 (−0.842, 0.054) | 0.085 | ||
Oceania | 1 | −0.175 (−0.875, 0.524) | 0.623 | ||
Participants | Health | 10 | −0.230 (−0.614, 0.147) | 0.232 | |
Diseases | 14 | −0.281 (−0.436, −0.127) | <0.001 | ||
Duration | ≦8 weeks | 10 | −0.194 (−0.374, −0.015) | 0.034 | |
>8 weeks | 14 | −0.320 (−0.608, −0.032) | 0.029 | ||
Ratio | >5 | 8 | −0.137 (−0.357, 0.084) | 0.224 | |
≦5 | 16 | −0.335 (−0.552, −0.119) | 0.002 | ||
IL-6 | Region | Europe | 9 | −0.451 (−0.688, −0.214) | <0.001 |
Asia | 8 | −0.034 (−0.226, 0.157) | 0.724 | ||
North America | 6 | −0.115 (−0.274, 0.044) | 0.157 | ||
Oceania | 1 | 0.142 (−0.557, 0.842) | 0.690 | ||
Participants | Health | 8 | −0.394 (−0.715, −0.073) | 0.016 | |
Diseases | 16 | −0.111 (−0.228, 0.005) | 0.060 | ||
Duration | ≦8 weeks | 13 | −0.135 (−0.264, −0.007) | 0.039 | |
>8 weeks | 11 | −0.194 (−0.404, 0.016) | 0.071 | ||
Ratio | >5 | 8 | −0.204 (−0.421, 0.013) | 0.065 | |
≦5 | 16 | −0.128 (−0.284, 0.027) | 0.106 | ||
CRP | Region | Europe | 12 | 0.077 (−0.137, 0.290) | 0.482 |
Asia | 7 | −0.460 (−1.022, 0.102) | 0.109 | ||
North America | 11 | 0.108 (−0.088, 0.304) | 0.280 | ||
Oceania | 2 | −0.172 (−0.793, 0.449) | 0.588 | ||
Participants | Health | 9 | 0.228 (−0.114, 0.571) | 0.191 | |
Diseases | 23 | −0.112 (−0.291, 0.067) | 0.220 | ||
Duration | ≦8 weeks | 22 | −0.143 (−0.344, 0.058) | 0.164 | |
>8 weeks | 10 | 0.210 (−0.050, 0.471) | 0.114 | ||
Ratio | >5 | 15 | 0.064 (−0.081, 0.209) | 0.388 | |
≦5 | 17 | −0.144 (−0.444, 0.156) | 0.347 |
A subgroup analysis of the TNF-α by region classification showed significant differences in the studies from Asia and no differences from other continents. In Asia, low-ratio n-6/n-3 PUFA supplementation significantly reduces the level of serum TNF-α (SMD: −0.367; 95% CI: −0.579, −0.155; P = 0.001). However, in Europe, North America, and Oceania, the serum TNF-α concentration did not show a significant reduction (SMD: −0.035, 95% CI: −0.283, 0.214; P = 0.784; SMD: −0.394, 95% CI: −0.842, 0.054; P = 0.085; SMD: −0.175, 95% CI: −0.875, 0.524; P = 0.623). The included studies stratified by health status indicated that low-ratio n-6/n-3 PUFA supplementation led to lower serum levels of TNF-α in participants who suffered from disease (SMD: −0.281; 95% CI: −0.436, −0.127; P < 0.001), with statistically significance. However, supplementation did not reduce TNF-α levels in healthy subjects (SMD: −0.230; 95% CI: −0.614, 0.147; P = 0.232). A stratified analysis was conducted according to whether the ratio of n-6/n-3 PUFA supplementation was >5. The results showed that when the ratio of n-6/n-3 PUFA was ≦5, the difference between the control group and the experimental group was statistically significant (SMD: −0.335; 95% CI: −0.552, −0.119; P = 0.002). When the ratio was >5, there was no statistical significance (SMD: −0.137; 95% CI: −0.357, 0.084; P = 0.224) (Table 3).
The studies stratified by region indicated that the pooled effect showed a significant reduction in the IL-6 level in Europe (SMD: −0.451; 95% CI: −0.688, −0.214; P < 0.001), not in Asia, North America and Oceania (SMD: −0.034, 95% CI: −0.226, 0.157, P = 0.724; SMD: −0.115, 95% CI: −0.274, 0.044, P = 0.157; SMD: 0.142, 95% CI: −0.557, 0.842, P = 0.690). A subgroup analysis showed that the effect of low-ratio n-6/n-3 PUFA on the reduction in IL-6 level in the healthy population (SMD: −0.394; 95% CI: −0.715, −0.073; P = 0.016) was more obvious than in patients (SMD: −0.111; 95% CI: −0.228, −0.005; P = 0.060). As for the stratification of duration, the extraction results showed that there was a significant difference between the experimental group with low-ratio n-6/n-3 PUFA and the control group with placebo when the duration was ≦8 weeks (SMD:-0.135; 95% CI: −0.264, −0.007; P = 0.039). There was no significant difference between the two groups when the duration was >8 weeks (SMD: −0.194; 95% CI: −0.404, 0.016; P = 0.071) (Table 3). The subgroup analysis of CRP was not statistically significant (Table 3).
b | SE | t | P | 95% CI | |
---|---|---|---|---|---|
TNF-α | |||||
Duration | −0.030 | 0.282 | −1.07 | 0.295 | (−0.089, 0.028) |
Ratio | 0.000 | 0.000 | −0.56 | 0.584 | (−0.001, −0.000) |
IL-6 | |||||
Duration | −0.013 | 0.017 | −0.82 | 0.423 | (−0.048, 0.021) |
Ratio | 0.002 | 0.005 | 0.31 | 0.761 | (0.009, 0.012) |
Begg's test and Egger's test found no publication bias in TNF-α (PBegg = 0.785, PEgger = 0.729), IL-6 (PBegg = 0.333, PEgger = 0.307) and CRP (PBegg = 0.466, PEgger = 0.337) (ESI†).
The subgroup analysis indicated that the effect of low-ratio n-6/n-3 PUFA on the reduction in TNF-α level in Asian countries was more obvious than in other countries. Low-ratio n-6/n-3 PUFA supplementation significantly decreased serum IL-6 concentration in Europe, but not in other regions. Eating habits vary from region to region, not only in terms of nutrients, but also in terms of dietary patterns that affect changes in markers of inflammation. The effects of dietary habits on markers of inflammation are also inconsistent.44 Meta-analyses have also found that supplementation with omega-3 fatty acids has different effects on blood sugar between Asians and Europeans, which may be due not only to dietary habits, but also to ethnic and environmental differences.45 Similarly, the effect of low-ratio n-6/n-3 PUFA supplementation on serum inflammatory markers may also vary from region to region.
In the subgroup analysis, participants were divided into a healthy group and a disease group according to their physical health status. A diet with low-ratio n-6/n-3 PUFA supplementation significantly reduced TNF-α levels in sick individuals but not in healthy individuals. Studies have shown that supplementation with DHA and EPA significantly reduced CRP concentrations, especially in subjects with dyslipidemia and higher baseline CRP concentrations.46 We speculated that in the patients, the inflammatory factor level was higher, and the effect of low-ratio n-6/n-3 PUFA supplementation was more obvious. The pooled effect of serum TNF-α concentration stratified by health status could further illustrate the effect of low-ratio n-6/n-3 PUFA supplementation on inflammatory markers. Therefore, in an inflammatory state, the interaction between omega-3 and omega-6 is complex. High levels of n-6 fatty acids could counteract the anti-inflammatory effects of n-3 fatty acids.47 Omega-6 and omega-3 fatty acids compete for the biological synthase, causing different physiological effects on the body. There is a balance between n-6 and n-3 PUFA.48,49 With respect to IL-6, there was a statistically significant decrease in healthy individuals, but not in patients. A meta-analysis showed that supplementation of omega-3 fatty acids alone could not reduce inflammation levels in patients with renal disease.50 Omega-3 fatty acids reduced CRP levels but did not reduce IL-6 levels in patients undergoing dialysis.51 The anti-inflammatory effects on colorectal cancer were also different at different doses and durations.52 It takes more than 1 g d−1 of omega-3 fatty acids to reduce inflammation in patients with heart failure.53 The effects of low n-6/n-3 PUFA supplementation on inflammatory factors need to be refined further for different diseases, as well as for different doses of intake. On the other hand, it may also be shown that diets with a low-ratio n-6/n-3 PUFA can help reduce the levels of inflammatory factor and prevent inflammation-related diseases in healthy men.
The studies stratified by duration indicated that TNF-α was significantly reduced regardless of whether the duration was longer than or less than 8 weeks, whereas the change in CRP level was not statistically significant. There was a significant decrease in serum IL-6 levels within 8 weeks of low-ratio n-6/n-3 PUFA supplementation, although there was no significant decrease when the duration was beyond 8 weeks. Molecular biology studies have shown that n-3 PUFA, n-6 PUFA and their derivatives can target transcription factors to regulate gene expression and participate in the process of inflammation regression by modifying cell-membrane composition.54 An RCT showed that supplementation with a low ratio of n-6/n-3 PUFA at 26 weeks altered gene expression and reduced the expression of inflammation-related genes, which suggests that long-term supplementation of low-ratio n-6/n-3 PUFA could reduce the incidence of inflammation.55 Regarding the effect of IL-6 stratified by duration, further analysis revealed that most of the studies of >8 weeks’ duration came from Asian. The pooled effect of a significant reduction in the ≦8 weeks subgroup may be due to confounding factors caused by regional differences. Subgroup analysis showed that there was a significant decrease in TNF-α when the ratio of n-6/n-3 PUFA was no higher than 5. Some derivatives of n-6 fatty acids, such as endogenous cannabinoids, target NF-κB to participant in the inflammation response. The concentration of endocannabinoids is influenced by a dietary intake of omega-6 and omega-3 fatty acids. Diets with a high omega-6 fatty acid content can lead to an overactive endocannabinoid system. Diets with a high omega-6/omega-3 ratio lead to an increase in endocannabinoid signaling and related agents, leading to an inflammatory state.56 It is particularly important to find an appropriate ratio of n-6/n-3 PUFA. The results in this paper suggest that a ratio of no higher than 5 is more conducive to reducing the level of inflammatory markers. A number of RCTs are needed to further explore the optimal ratio of n-6/n-3 PUFA.
The study of the effect of the n-6/n-3 PUFA ratio on inflammatory biomarkers has practical significance for inflammation-related diseases. In conclusion, this meta-analysis provides evidence that low-ratio n-6/n-3 PUFA supplementation has obvious effects on lowering TNF-α and IL-6 levels.
Footnote |
† Electronic supplementary information (ESI) available. See DOI: 10.1039/d0fo01976c |
This journal is © The Royal Society of Chemistry 2021 |