Abstract
Background and objective
Exercise increases quality of life and lowers all-cause mortality, likely by preventing cardiovascular disease. Although the beneficial effects of exercise are linked with reductions in chronic inflammation, individual responses vary and factors that contribute to the anti-inflammatory effects of cardiovascular fitness remain largely undefined. We sought to investigate the role of fatty acids in the inverse relationship between inflammation and cardiovascular fitness.Approach and results
In this cross-sectional study using data from 435 participants in NHANES and linear regression models with CRP as the outcome, we observed significant negative interactions between VO2max and omega-3 polyunsaturated fatty acids (PUFAs) but not saturated, monounsaturated, or omega-6 PUFAs. When stratified by omega-3 PUFA tertiles, participants in the medium tertile, but not low tertile, show an enhanced negative association between VO2max and CRP, with a -32.0% difference (95% CI: -44.95, -15.9%) per 10 mL/kg/min of VO2max. Exploratory factor analysis identified five unique dietary fatty acid (FA) profiles. The FA profile consisting predominantly of omega-3 PUFA had the strongest negative association for VO2max and CRP, with a -28.2% difference in CRP (95% CI: -43.4, -8.9) per 10 mL/kg/min of VO2max. We also found that alpha-linolenic acid (ALA) and docosahexaenoic acid (DHA) enhanced the negative association between VO2max and CRP, suggesting that the anti-inflammatory response to VO2max capacity is associated with ALA and DHA levels. Males, Whites, and individuals with lower BMI were more sensitive to the effects of omega-3 PUFAs, while having high SFA levels attenuated the benefit.Conclusions
This study suggests that omega-3 PUFAs are effect modifiers for VO2max and CRP and that the anti-inflammatory benefits of increasing cardiovascular fitness are associated with omega-3 PUFAs.Free full text
Omega-3 polyunsaturated fatty acids modify the inverse association between systemic inflammation and cardiovascular fitness
SUMMARY
Background and objective:
Exercise increases quality of life and lowers all-cause mortality, likely by preventing cardiovascular disease. Although the beneficial effects of exercise are linked with reductions in chronic inflammation, individual responses vary and factors that contribute to the anti-inflammatory effects of cardiovascular fitness remain largely undefined. We sought to investigate the role of fatty acids in the inverse relationship between inflammation and cardiovascular fitness.
Approach and results:
In this cross-sectional study using data from 435 participants in NHANES and linear regression models with CRP as the outcome, we observed significant negative interactions between VO2max and omega-3 polyunsaturated fatty acids (PUFAs) but not saturated, monounsaturated, or omega-6 PUFAs. When stratified by omega-3 PUFA tertiles, participants in the medium tertile, but not low tertile, show an enhanced negative association between VO2max and CRP, with a −32.0% difference (95% CI: −44.95, −15.9%) per 10 mL/kg/min of VO2max. Exploratory factor analysis identified five unique dietary fatty acid (FA) profiles. The FA profile consisting predominantly of omega-3 PUFA had the strongest negative association for VO2max and CRP, with a −28.2% difference in CRP (95% CI: −43.4, −8.9) per 10 mL/kg/min of VO2 max. We also found that alpha-linolenic acid (ALA) and docosahexaenoic acid (DHA) enhanced the negative association between VO2max and CRP, suggesting that the anti-inflammatory response to VO2max capacity is associated with ALA and DHA levels. Males, whites, and individuals with lower BMI were more sensitive to the effects of omega-3 PUFAs, while having high SFA levels attenuated the benefit.
Conclusions:
This study suggests that omega-3 PUFAs are effect modifiers for VO2max and CRP and that the anti-inflammatory benefits of cardiovascular fitness are associated with omega-3 PUFAs.
1. Introduction
The health benefits of cardiovascular fitness are well known, and it has been shown that increased levels of exercise are inversely associated with morbidity and all-cause mortality. Extensive work has also shown that exercise decreases BMI, waist circumference, and adiposity [1]; however the beneficial effects of exercise on cardiovascular and metabolic disease [2], extend beyond changes in weight reduction [3] and involve modifications in immunity and inflammation [4,5]. This notion is supported by data showing that moderate intensity exercise prevents the development and delays the progression of chronic diseases by decreasing chronic low-grade inflammation [6]. Although exercise stimulates the production of inflammatory cytokines acutely [7], frequent exercise and physical activity are associated with lower levels of C-reactive protein (CRP) [8-11], a commonly used marker of systemic inflammation. This negative association is further enhanced by reductions in BMI [1].
Cardiovascular fitness, typically measured as maximal oxygen uptake (VO2 max), is also inversely associated with CRP levels and inflammation [12]. After controlling for changes in traditional cardiovascular risk factors, beneficial changes in inflammatory markers [13], including CRP, have been shown to contribute the most to the cardiovascular risk-reducing effects of exercise [5]. Nonetheless, the beneficial effects of exercise vary among individuals with different health and nutritional status, and the biological factors responsible for such heterogeneity in responses to exercise and cardiovascular fitness remain largely unknown.
Omega-3 polyunsaturated fatty acids (PUFA), such as docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA), have been shown to have anti-inflammatory properties [14] leading to a lower risk for development of chronic inflammatory diseases [15]. This is supported by results from the REDUCE-IT trial, whereby treatment with EPA ethyl ester significantly reduced cardiovascular events in individuals on statin therapy but with residual hypertriglyceridemia [16]. Beneficial changes in cardiometabolic factors with reduced CRP levels have also been found in a double-blind randomized trial of individuals with metabolic syndrome receiving omega-3 PUFA supplementation and exercise [17]. Nonetheless, whether endogenous omega-3 PUFA levels contribute to the health benefits of cardiovascular fitness remains unknown.
Work from our laboratory and others has shown that omega-3 PUFA-derived specialized pro-resolving lipid mediators (SPMs) that actively resolve inflammation [18], decrease atherogenesis and prevent high fat diet-induced insulin resistance in rodent models [19-24]. Therefore, we postulated that higher intake of omega-3 PUFAs, by facilitating resolution of inflammation, may enhance the salutary effects of exercise. Using data from the from the National Health and Nutrition Examination Survey (NHANES) to test this hypothesis, we examined whether plasma levels of omega-3 PUFAs modify the association between cardiovascular fitness and inflammation, sought to determine the role of individual omega-3 PUFAs, and to identify populations most sensitive to the modifying influence of omega-3 PUFAs on cardiovascular fitness.
2. Materials and methods
The authors declare that all supporting data are available within the article and its Data Supplement.
2.1. Study design and population
The National Health and Nutritional Examination Surveys (NHANES) is cross-sectional study conducted in two-year cycles that are generalizable to the civilian resident population of the United States. The survey portions are conducted by trained individuals in the participants’ homes and the health examinations are completed in mobile examination centers. The NHANES 2003–2004 consists of two portions, an interview (n = 10,122) and an exam (n = 9643). Questionnaires are administered before the exam followed by blood sample collection and subsequent treadmill testing. Out of the examined individuals, only the fasting subsample (n = 1845) were eligible for fatty acid plasma testing and only participants 12–49 years old were eligible for the cardiovascular fitness treadmill test (n = 2809). Our final study population included individuals 20–49 years old with complete fatty acid profiles, VO2 max levels, and inflammatory marker data (n = 435; Diagram S1).
2.2. Cardiovascular fitness assessment
Cardiovascular fitness was assessed using a submaximal exercise test by a trained health technician [25]. Participants are assigned to a treadmill protocol based on gender, age, and BMI, with a goal of eliciting a heart rate approximately 75% of the maximum. Heart rate was monitored continuously during each protocol, which consisted of a 2-min warm up, 2 3-min exercise stages, and a 2-min cool down. The maximal oxygen uptake, VO2 max, was estimated using measured heart rate in response to standardized levels of exercise. The VO2 max was then extrapolated based on a linear relationship between oxygen consumption and heart rate during known levels of exercise.
2.3. Fatty acid measurements
Plasma was collected from fasting individuals (≥8 h) and concentrations of 24 fatty acids – 6 saturated fatty acids, 7 monounsaturated fatty acids, and 11 polyunsaturated fatty acids were measured. Fatty acids were measured by gas chromatography-mass spectrometry (GC–MS) using a modified version of the method developed by Lagerstedt et al. [26] Briefly, 100 μl of plasma was spiked with internal standards and esterified fatty acids were hydrolyzed from lipids using a sequential treatment with acid then base. Samples were then hexane extracted and derivatized with pentafluorobenzyl bromide before being injected for GC–MS to resolve individual cis configuration fatty acids.
2.4. Inflammation markers
The primary outcome in our analysis is C-reactive protein (CRP). In NHANES, CRP was quantified using latex-enhanced nephelometry by creating antigen antibody complexes with anti-CRP mouse monoclonal antibodies. Secondary outcomes include complete blood counts (CBC), consisting of lymphocyte, neutrophil, and monocyte counts. For CBC assessments, NHANES utilized the Beckman Coulter method to size and count cell types in the blood. White blood cells are analyzed with VCS technology and percentages were calculated from raw numbers collected. Both CRP and CBC data were analyzed as continuous variables.
2.5. Statistical analysis
Participant characteristics are presented as mean ± SD for continuous variables and frequency (%) for categorical variables. For each fatty acid group, individual fatty acids were summed, then grouped into tertiles for further analysis. Multivariable linear regression models were used to examine the relationship between CRP with VO2 max and fatty acid group tertiles. Interaction terms were included in the models to test whether tertiles of fatty acid groups modify the effect of VO2max on CRP levels. CRP was log-transformed to account for non-normal distribution. To identify the underlying relationship between fatty acid groups in the participants, we performed an exploratory factor analysis on 24 fatty acids. All factors with an eigenvalue >1 were extracted and VARIMAX rotation was performed to improve interpretability. This resulted in 5 distinct fatty acid profiles, which were categorized into tertiles for further analysis. Linear regression models were used to examine the relationship between CRP and tertiles of fatty acid profiles. Regression models were also stratified by tertiles to test the association between CRP and VO2 max within each tertile. We also performed a subgroup analysis to assess whether the interaction between omega-3 PUFA tertiles and VO2 max varied by participant characteristics. All models were adjusted a priori for age, sex, and BMI. Where indicated, sums of fatty acid groups were adjusted for saturated fatty acids, except for the saturated fatty acid group, which was adjusted for monounsaturated fatty acids based on Pearson's correlation coefficients. Linear regression results are presented as percent difference in CRP per 10 mL/kg/min increase in VO2 max. All statistical analyses were performed using SAS, version 9.4, software (SAS Institute, Inc., Cary, North Carolina) and GraphPad Prism, version 8 (GraphPad Software, La Jolla, California).
3. Results
Table 1 presents the demographic and characteristics of the study population. Participants had an average age of 32.9 years, with a slightly higher percentage of male participants (55.4%), and were 49.2% were white, 19.6% black, and 31.3% other races. The average BMI of participants was 27.8, and 29.5% were considered current smokers. The mean CRP levels were 0.3 ± 0.5 mg/dL with mean VO2 max of 39.2 ± 8.6 mL/kg/min.
Table 1
Characteristic | Total (n = 435) |
---|---|
continuous | Mean ± SD |
Age (yrs) | 32.9 ± 8.3 |
BMI | 27.8 ± 6.0 |
Systolic BP (mmHg) | 115.0 ± 12.4 |
Diastolic BP (mmHg) | 70.0 ± 10.0 |
Total Cholesterol (mg/dL) | 192.3 ± 37.8 |
HDL (mg/dL) | 53.7 ± 15.7 |
LDL (mg/dL) | 114.3 ± 33.6 |
Triglyceride (mg/dL) | 127.4 ± 106.9 |
C-Reactive Protein (mg/dL) | 0.3 ± 0.5 |
VO2 Max (ml/kg/min) | 39.2 ± 8.6 |
categorical | n (%) |
Sex (Male) | 241 (55.4%) |
Race | |
White | 214 (49.2%) |
Black | 85 (19.6%) |
Other (total) | 136 (31.3%) |
Mexican American | 103 (23.7%) |
Other Hispanic | 18 (4.4%) |
Other Race or multiracial | 15 (3.5%) |
Smoking status | 128 (29.5%) |
Education Level | |
<High School | 86 (19.8%) |
H.S. Diploma | 119 (27.4%) |
>High School | 230 (52.9%) |
Income | |
<$25,000 | 116 (26.9%) |
$25,000-$74,999 | 191 (44.2%) |
>$75,000 | 125 (29.0%) |
Summary statistics for plasma levels of 24 fatty acids (FA), including saturated fatty acids (SFAs), monounsaturated fatty acids (MUFAs), and polyunsaturated fatty acids (PUFAs), and the summation of fatty acid groups are shown in Table 2. The sum of omega-3 PUFAs had the lowest mean value of 281.6 μmol/L, compared with a mean sum of 3660.1 μmol/L for SFAs.
Table 2
Fatty Acid | Mean ± SD | n | |
---|---|---|---|
SFA | Myristic Acid | 130.2 ± 86.5 | 431 |
Palmitic Acid | 2688.4 ± 907.6 | 434 | |
Stearic Acid | 680.1 ± 171.0 | 434 | |
Arachidic Acid | 22.9 ± 5.0 | 423 | |
Docosanoic Acid | 68.1 ± 15.7 | 421 | |
Lignoceric Acid | 54.0 ± 13.0 | 420 | |
MUFA | Myristoleic Acid | 8.3 ± 8.4 | 434 |
Palmitoleic Acid | 237.3 ± 199.5 | 435 | |
cis-Vaccenic Acid | 143.5 ± 56.0 | 425 | |
Oleic Acid | 2088.3 ± 1140.5 | 433 | |
Eicosenoic Acid | 13.7 ± 6.2 | 433 | |
Docosenoic Acid | 4.4 ± 3.5 | 385 | |
Nervonic Acid | 75.9 ± 18.8 | 418 | |
PUFA | |||
Omega-6 | Linoleic Acid | 3482.1 ± 834.4 | 435 |
gamma-Linolenic Acid | 48.0 ± 22.7 | 432 | |
Eicosadienoic Acid | 22.3 ± 10.2 | 433 | |
homo-gamma-Linolenic Acid | 155.5 ± 63.6 | 435 | |
Arachidonic Acid | 780.7 ± 199.3 | 435 | |
Docosatetraenoic Acid | 26.1 ± 8.6 | 435 | |
Docosapentaenoic-6 Acid | 21.4 ± 8.8 | 435 | |
Omega-3 | alpha-Linolenic Acid | 67.2 ± 40.0 | 435 |
Eicosapentaenoic Acid | 43.1 ± 28.6 | 434 | |
Docosapentaenoic-3 Acid | 41.3 ± 13.3 | 435 | |
Docosahexaenoic Acid | 129.7 ± 61.0 | 435 | |
Mean ± SD | n | ||
∑ SFA | 3660.1 ± 1160.3 | 409 | |
∑ MUFA | 2584.0 ± 1169.9 | 375 | |
∑ PUFA | 4829.4 ± 1058.9 | 429 | |
∑ Omega-6 | 4544.5 ± 992.1 | 430 | |
∑ Omega-3 | 281.6 ± 113.8 | 434 | |
∑ Omega-6/∑ Omega-3 | 17.5 ± 4.8 | 429 |
Linear regression models were used to examine the relationship between VO2 max and CRP levels (Fig. 1A). For every 10 mL/kg/min increase in VO2 max, we observed 17.4% lower levels of CRP, suggesting that individuals with higher cardiovascular fitness have lower levels of systemic inflammation in this sample population, which is consistent with other published data.
Next, to assess whether circulating levels of FAs are independently associated with levels of systemic inflammation, we performed linear regression models with tertiles of FAs, adjusting for covarying FA groups (Fig. 1B, Table S1, Fig. S1). Using the low tertile as the reference, we found that medium and high levels of both SFA and MUFAs were associated with higher CRP levels. Conversely, we found that higher levels of PUFAs are associated with significantly lower CRP (Fig. 1B). We then subdivided the PUFA class into omega-6 and omega-3 FAs and found lower levels of CRP (Fig. 1B), suggesting that omega-3 and omega-6 fatty acids contribute to reductions in inflammation. Given the possible clinical relevance of omega-6:omega-3 ratio in cardiovascular disease and its association with all-cause mortality [27], we also assessed and found higher CRP levels associated with higher tertiles of omega-6:omega-3 ratio when compared with low (Fig. 1B).
Given our observation that circulating levels of fatty acids affect the level of inflammation and that inflammation is also related to cardiovascular fitness, we next sought to determine whether the relationship between VO2 max and CRP is modified by circulating levels of FAs (Fig. 2). In multivariable regression analysis, we found a significant negative interaction between tertiles of omega-3 PUFAs and VO2 max, suggesting that the inverse association between VO2 max and CRP is strengthened in individuals with higher omega-3 PUFA levels. No such interaction on VO2 max with CRP was found with SFA, MUFA, omega-6 PUFA levels, or with the omega-6/omega-3 ratio.
When we stratified plasma levels of omega-3 PUFAs by tertiles, we found that the medium tertile showed the strongest association between VO2 max and CRP, with a −32.0% difference (95% CI: −44.95, −15.9%) per 10 mL/kg/min of VO2 max (Fig. 2). Conversely, within the low omega-3 PUFA category we found no association between VO2 max and CRP (4.0%; 95% CI: −16.8%, 30.0%), which nullified the negative association of CRP and VO2 max (Fig. 2). Although not statistically significant, we also found that those with higher levels of omega-3 PUFAs had stronger inverse associations between VO2 max and CRP when compared with low tertile individuals. Taken together, these data suggest that the inverse relationship between VO2 max and CRP depends upon circulating levels of omega-3 PUFAs.
Although we found clear effect modification of the relationship between VO2 max and CRP by circulating levels of omega-3 FAs, this relationship could be affected by the presence of other fatty acids in the plasma. To assess the impact of other circulating fatty acids on the effects of omega-3 PUFAs, we performed an exploratory factor analysis of 24 individual fatty acids to identify how multiple Fas covary (Table 3). This analysis revealed five distinct FA factors, or dietary profiles (FA Profiles). FA Profile 1 accounted for 56.9% of the total variance in the data and was comprised of all fatty acid classes: SFA, MUFA, PUFA. FA Profile 2 accounted for 14.3% of the total variance, and was similarly comprised as FA Profile 1, however with less contribution from omega-6 and omega-3 PUFAs. FA Profile 3 was comprised predominantly of SFAs, while FA Profile 4 was predominantly MUFAs and omega-6 PUFAs. FA Profile 5 accounted for 5.3% of the total variance and consisted predominantly of omega-3 PUFAs.
Table 3
Fatty Acid | FA Profile 1 | FA Profile 2 | FA Profile 3 | FA Profile 4 | FA Profile 5 |
---|---|---|---|---|---|
Myristic Acid | 83 | 41 | |||
Palmitic Acid | 75 | 52 | 25 | ||
Stearic Acid | 72 | 37 | 24 | 24 | |
Arachidic Acid | 21 | 32 | 75 | ||
Docosanoic Acid | 94 | ||||
Lignoceric Acid | 88 | ||||
Myristoleic Acid | 90 | 23 | |||
Palmitoleic Acid | 71 | 24 | 20 | ||
cis-Vaccenic Acid | 53 | 63 | 28 | ||
Oleic Acid | 79 | 42 | |||
Eicosenoic Acid | 49 | 76 | |||
Docosenoic Acid | 22 | ||||
Nervonic Acid | 24 | 48 | 37 | 32 | |
Linoleic Acid | 29 | 69 | 35 | ||
gamma-Linolenic Acid | 71 | 29 | |||
Eicosadienoic Acid | 26 | 87 | 22 | ||
homo-gamma-Linolenic Acid | 62 | 44 | 29 | ||
Arachidonic Acid | 21 | 32 | 69 | 32 | |
Docosatetraenoic Acid | 59 | 70 | |||
Docosapentaenoic-6 Acid | 29 | 39 | 71 | ||
alpha-Linolenic Acid | 41 | 60 | 27 | ||
Eicosapentaenoic Acid | 24 | 84 | |||
Docosapentaenoic-3 Acid | 48 | 29 | 63 | ||
Docosahexaenoic Acid | 38 | 75 | |||
Total Variance Explained | 56.9% | 14.3% | 8.2% | 7.3% | 5.3% |
We next assessed how these five FA profiles associated with CRP levels by grouping the profiles into tertiles and performing multivariable linear regression (Fig. 3). We found no significant associations between CRP and FA Profile 1, 3, or 4. However, for FA Profile 2, comprised of all FA groups but with low PUFAs, we found that participants in the highest tertile had significantly higher CRP levels than the lowest tertile. Interestingly, FA Profile 5, which is primarily comprised of omega-3 PUFAs without SFAs, we found a significant negative association, where the medium tertile had −31.9% lower CRP levels as compared with the lowest tertile (Fig. 3).
We next sought to understand whether these FA Profiles modify the association between CRP and VO2 max. Figure 4 presents the associations between VO2 max and CRP stratified by tertiles of FA profiles. We found little evidence of effect modification for FA Profile 1 through 4. However, for FA Profile 5, largely comprised of omega-3 PUFAs without SFA, we found evidence of a negative interaction, which was strongest in the medium tertile of FAs with a −28.2% difference in CRP (95% CI: −43.4, −8.9) per 10 mL/kg/min of VO2 max (p-value = 0.058; Fig. 4). Importantly, we found no significant association between VO2 max and CRP in the lowest tertile for FA Profile 5; 1.0% difference in CRP (95% CI: −19.5%, 26.7%) per 10 mL/kg/min of VO2 max, suggesting that the inverse association between cardiovascular fitness and inflammation was abolished in individuals with low levels of omega-3 fatty acids.
Given our results showing that the inverse relationship between VO2 max and CRP is modified by omega-3 PUFA levels (Fig. 2) along with the complimentary results of the exploratory factor analysis (Table 3 and Fig. 3), we questioned the involvement of individual omega-3 PUFAs on this relationship. To address this, we assessed how individual omega-3 PUFAs interact with VO2 max. This analysis indicated that the omega-3 PUFA alpha-linolenic acid significantly modified the negative association between VO2 max and CRP levels (Fig. 5A). Interestingly, we also found that the omega-3 PUFA docosahexaenoic acid (DHA), but not eicosapentaenoic acid (EPA) nor docosapentaenoic acid (DPAn-3), significantly modified the negative association between VO2 max and CRP (Fig. 5A). Of note, none of the omega-6 PUFAs significantly altered the negative association between VO2 max and CRP (Fig. 5B).
CBC data stratified by levels of DHA, but not alpha-linolenic acid (ALA) display significant differences in the percentage of circulating lymphocyte and segmented neutrophils (Tables S2 and S3), with higher levels of lymphocytes in with higher levels of DHA (Table S3). Conversely, segmented neutrophils were lower in participants with the highest levels of (DHA) as compared to the lowest tertile (Table S3). These results suggest that levels of ALA and DHA significantly modify the inverse relationship between VO2 max and CRP, potentially through modifications in circulating lymphocyte and neutrophil cell populations.
We next sought to determine whether there were any specific subgroups that were more sensitive to the modifying effect of omega-3 PUFAs on the relationship between VO2 max and CRP. Figure 6 shows the strength of the interaction between omega-3 PUFA and VO2 max in participant subgroups. We found that the modifying effect of omega-3 PUFAs between VO2 max and CRP was significant in males, White participants, participants of higher age (33–49 years) and in participants with low BMI (<30). Surprisingly, we found a near significant positive interaction between omega-3 PUFAs and VO2 max in participants with high circulating levels of SFAs (p-value = 0.053). Participants with high plasma levels of SFAs also had higher omega-3 PUFAs compared with participants with low levels of SFAs (Fig. 6), suggesting that the benefits of omega-3 PUFAs may be decreased in those who also have high circulating levels of SFAs. Taken together, these findings suggest that the benefits of omega-3 PUFAs on the relationship between VO2 max and CRP is more pronounced in males, Whites, older ages, individuals with lower BMI, and individuals with a low SFA diet.
4. Discussion
In this study we found that cardiovascular fitness was inversely related to the levels of CRP, suggesting that those with higher levels of cardiovascular fitness have lower levels of inflammation. We found that higher level of omega-3 PUFAs modified the relationship between cardiovascular fitness and inflammation, whereas the relationship was not affected by circulating levels of SFAs, MUFAs, or omega-6 PUFAs. More specifically, we found that individuals who have low circulating levels of omega-3 PUFAs have a reduced inverse association with inflammation and higher levels of cardiovascular fitness. Looking at the contribution of different types of omega-3 PUFAs, we found that plasma levels of alpha-linolenic acid and docosahexaenoic acid, but not eicosapentaenoic acid or docosapentaenoic acid, significantly strengthen the negative association between cardiovascular fitness and chronic inflammation.
Previous work has shown that increased cardiovascular fitness and participation in exercise is associated with improvements in inflammatory markers and decreased levels of CRP [28]. These beneficial changes in CRP levels with increasing cardiovascular fitness persist even after controlling for factors such as obesity, blood pressure, and smoking [29], suggesting that exercise affects inflammation independently of its effects on blood pressure, obesity, and smoking. However, even though exercise has pervasive effects on both cardiovascular fitness and inflammation, individuals respond differently to exercise, even under controlled conditions. This disparity leads to variable outcomes following exercise in different individuals, and some individuals – “non-responders” – see little or no benefits of exercise [30]. Nonetheless, biological mechanisms that underlie this variability in individual responses to similar exercise protocols remains unclear but may relate to health and nutritional status. Therefore, a clear understanding of the factors that modify the salutary effects of exercise are needed to expand the potential health benefits of exercise across different demographic segments of the population. The results of our study reported here suggest that the intake of omega-3 PUFAs may be an important factor such that those with higher levels of omega-3 PUFAs are more likely to have lower levels of inflammation upon increasing cardiovascular fitness. Moreover, based on results from our factor analysis and subgroup analysis, we believe that higher levels of omega-3 PUFA in conjunction with low levels of SFA are important to obtain the anti-inflammatory benefit of exercise. Nonetheless, additional studies are needed to further understand how SFAs negatively affect the beneficial effect of omega-3 PUFAs.
Extensive work has shown that higher levels of omega-3 PUFAs are associated with lower levels of systemic inflammation [31,32]. This link may not be surprising because omega-3 PUFAs serve as precursors for proresolving lipid mediators that are agonists of resolution during acute inflammatory events [18], and therefore higher intake and higher circulating levels of these fatty acids are likely to promote the synthesis of products that lower and resolve inflammation. In this context, our study provides additional evidence for the association between omega-3 PUFAs and a decrease in the levels of inflammation markers such as CRP. These findings are consistent with results recently published by our laboratory in a pre-clinical murine model showing enhanced production of the DHA-derived proresolving mediator resolvin D1 and the resolution of acute inflammation following exercise training [33]. Consistent with this, human studies also show that dietary omega-3 PUFA supplementation decreases the production of pro-inflammatory cytokines TNFα and IL-6 [34]. Therefore, it is tempting to speculate that exercise promotes an anti-inflammatory effect by increasing the synthesis of proresolving mediators, where moderate to high levels of omega-3 PUFAs are required to fully redeem the anti-inflammatory potential of exercise.
The levels of ALA, EPA, DPA, and DHA in the blood are related to dietary consumption, while the essential fatty acid ALA also serves as the precursor for polyunsaturated fatty acids, including DHA, EPA, and DPA following the enzymatic activity of desaturases and elongases [35]. Previous work by Rocha-Rodrigues et al., show that with exercise there is an increase in the expression of FADS1 and Elongase 5 [36]. These findings support the notion that exercise training increases the formation of PUFA, likely to aid in the inhibition of acute inflammatory responses to exercise training. Our findings that circulating levels of omega-3 PUFAs, ALA and DHA, significantly modify the interaction between cardiovascular fitness and inflammation are consistent with this concept and further extend the importance of adequate dietary omega-3 PUFA intake.
In this study we used data from NHANES 2003–2004, which is a comprehensive study that has a random and generalizable study population, however because we combined two separate subsamples of participants with both FA levels and VO2 max measurements, we did not perform survey weighted analyses which would allow our results to be generalizable to the United States population. Nonetheless, limitations of our study include that plasma fatty acid levels were only measured in select individuals thus limiting the size and scope of the population. Moreover, treadmill testing to assess VO2 max in NHANES 2003–2004 was restricted to individuals between 12 and 49 years of age, thus limiting the extrapolation of our findings to individuals aged 50 or older. Additionally, our study is limited by the lack of measurements for additional inflammatory markers, such as measures of circulating inflammatory cytokines, including IL-6 or TNFα, or functional assessments of innate immunity, which are known to be altered by exercise [37]. These additional data would provide further insights into how omega-3 PUFAs modify the relationship between inflammation and VO2 max. Nonetheless, other studies focus mainly on survey data for FA intake assessment, which allows for greater power and coverage, but is susceptible to exposure misclassification of data due to lack of absolute measurements. With the use of laboratory data in our study - VO2 max, CRP levels, and plasma fatty acid concentrations - the uncertain reliability often seen with self-reported answers was eliminated, therefore increasing confidence in biological significance, nonetheless, the cross-sectional study design is susceptible to residual confounding.
To our knowledge, this study is the first to examine whether omega-3 PUFAs modify the inverse association between inflammation and cardiovascular fitness. Few studies have tested whether fatty acids modify the relationship between exercise and improved health outcomes. Nonetheless, it has been reported that individuals with metabolic syndrome supplemented with omega-3 PUFAs subjected to exercise exhibit improved serum CRP levels in comparison with control individuals [17]. Despite being limited to a small group of individuals with metabolic syndrome, these findings are consistent with the findings of our study showing that omega-3 fatty acids modify the relationship between cardiovascular fitness and inflammation. Interestingly, we found that high circulating levels of saturated fatty acids attenuate the interaction between omega-3 PUFA and VO2 max on CRP levels. This observation may explain why we detected the strongest interactions in the medium tertiles as individuals in the highest tertile of omega-3 PUFAs also exhibited the highest levels of SFAs. These findings suggest that high levels of SFAs may attenuate the beneficial effect of omega-3 fatty acids on the relationship between cardiorespiratory fitness and inflammation. Nonetheless, future studies directly aimed at understanding how SFAs impinge on the beneficial effect of omega-3 FAs on inflammation with exercise are needed. Collectively, these findings however provide insights into the role of FA on the cardiovascular benefits of exercise and may help to explain why individuals respond differently to exercise.
Acknowledgements
This work was supported by National Institutes of Health Grants GM127495 (J.H.) and GM127607 (A.B.).
Footnotes
Conflicts of interest
Authors declare no conflicts of interest.
Appendix A. Supplementary data
Supplementary data to this article can be found online at https://doi.org/10.1016/j.clnu.2021.02.006.
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Funding
Funders who supported this work.
NIGMS NIH HHS (2)
Grant ID: R01 GM127495
Grant ID: P30 GM127607
National Institutes of Health (2)
Grant ID: GM127607
Grant ID: GM127495