SYSTEMATIC REVIEW article

Front. Immunol., 22 February 2023

Sec. Nutritional Immunology

Volume 14 - 2023 | https://doi.org/10.3389/fimmu.2023.1092077

The effects of conjugated linoleic acid supplementation on inflammatory cytokines and adipokines in adults: A GRADE-assessed systematic review and dose–response meta-analysis

  • 1. Department of Cellular and Molecular Nutrition, Faculty of Nutrition Science and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran

  • 2. Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran

  • 3. Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran

  • 4. Department of Clinical Biochemistry, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran

  • 5. Nutrition and Metabolic Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran

  • 6. Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran

  • 7. Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran

  • 8. Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran

Abstract

Background and aims:

Many studies have investigated the effect of conjugated linoleic acid (CLA) supplementation on inflammatory cytokines and adipokines. However, the results of these studies are not consistent. Therefore, this systematic review and meta-analysis were designed to comprehensively evaluate the effect of CLA supplementation on inflammatory cytokines and adipokines.

Methods:

Randomized controlled trials (RCTs) examining the effects of CLA supplementation on C-reactive protein (CRP), interleukin 6 (IL-6), tumor necrosis factor-alpha (TNF-α), adiponectin, and leptin, published up to March 2022, were identified through PubMed, SCOPUS, and ISI Web of Science databases. A random-effects model was used to calculate weighted mean differences (WMDs) with 95% confidence intervals (CI) for 42 studies that included 1,109 participants.

Results:

Findings from 42 studies with 58 arms indicated that CLA supplementation significantly decreased IL-6 and TNF-α levels and also slightly increased CRP levels. However, adiponectin and leptin levels did not change after CLA supplementation. A subgroup analysis found that CLA supplementation reduced adiponectin and leptin in women.

Conclusion:

Our results demonstrated that CLA supplementation increased CRP levels and decreased TNF-α and IL-6 levels. Therefore, it seems that CLA can have both proinflammatory and anti-inflammatory roles.

Systematic review registration:

https://www.crd.york.ac.uk/prospero/, identifier (CRD42022331110).

Introduction

Inflammation is a protective reaction by an organism in response to injury, irritation, or infection that eliminates harmful stimuli and initiates the healing process (1). However, uncontrolled or unresolved inflammation can lead to tissue damage as well as the development of chronic inflammatory diseases, including type 2 diabetes, cardiovascular disease, cancer, etc. (2, 3). Therefore, the control and prevention of chronic inflammation should be considered in order to prevent some chronic diseases and even improve health.

Weight loss strategies such as dietary interventions and physical activity are commonly used as nonpharmacological interventions to combat and/or prevent proinflammatory conditions (4, 5). Despite the considerable benefits of pharmacological therapies, these may exert undesirable side effects and may not be tolerated by some individuals. On the other hand, they may cause drug resistance (reduction of efficiency) and even toxicity (6). Several studies have suggested that dietary strategies, such as certain supplements, can modulate inflammation. For example, a clinical trial has reported that magnesium and vitamin E co-supplementation led to a significant decrease in C-reactive protein (CRP) and a significant increase in total antioxidant capacity levels (79). Another study has suggested that l-glutamine supplementation in the early period of COVID-19 infection may reduce inflammatory responses and boost the immune system (10). Therefore, it is practical to find nutraceuticals and natural compounds with anti-inflammatory effects that may serve as alternative therapies to pharmacological interventions.

Conjugated linoleic acid (CLA) is a collective term for geometric isomers of linoleic acid (C18:2, n-6). This polyunsaturated fatty acid has two double bonds separated by a methylene group. This conjugation of the double bond is generally in positions 9 and 11 or 10 and 12 and may be a cis or trans configuration. Depending on the position and geometry of the double bonds, several isomers of CLA have been identified, such as 9cis,11trans-CLA and 10trans,12cis-CLA (11, 12). Most of the beneficial properties of CLA are elicited by these two main isomers. For example, 10trans,12cis-CLA is involved in catabolic processes such as lipolysis and fat oxidation, whereas 9cis,11trans-CLA seems to be the active anabolic agent. In addition, based on the evidence, 10trans,12cis-CLA is thought to be anticarcinogenic, antiobesity, and antidiabetic, whereas 9cis,11trans-CLA is mainly anti-inflammatory (13).

CLA is formed via biohydrogenation by bacterial enzymes known as catalyst, present in the intestine microbiota of ruminant mammals; hence, CLA is mainly found in their flesh and milk (14). Nonetheless, it is present in foods only in finite amounts; therefore, commercialized CLA supplements have been provided to offer potential benefits, such as reduction of body weight and total fat mass, anticancer effects including reducing tumor growth (15, 16), reducing insulin resistance, lipid disorders, and oxidative stress, improving liver function in nonalcoholic fatty liver (17), and immunomodulatory effects (1820).

A large number of studies have investigated the effect of CLA supplementation on inflammatory cytokines and adipokines. However, the results of these studies are contradictory. For instance, some studies have reported that CLA supplementation had no significant effect on leptin levels (21, 22), whereas others found a significant decrease in serum leptin during CLA supplementation (23, 24). CLA supplementation has even been shown to significantly increase serum leptin levels (25). Also, some studies have reported that CLA supplements lead to a decrease in adiponectin levels (26), while another study has reported that CLA supplements have little or no effect on adiponectin levels (27). However, Sneddon et al. (28) have reported that CLA supplementation was associated with a significant increase in serum adiponectin levels (12%) in young obese subjects. Furthermore, while one study has found that CLA supplementation may increase CRP and tumor necrosis factor-alpha (TNF-α) and marginally decrease interleukin-6 (IL-6), indicating a proinflammatory state (29, 30), a recent review article suggests that CLA may have an anti-inflammatory effect by reducing inflammatory mediators such as cytokines, particularly IL-6, TNF-α, IFN-γ, and IL-1β (30). Therefore, due to the inconsistencies in previous studies, the present study sought to update previous meta-analyses in light of the plethora of new studies. Thus, the current meta-analysis sought to investigate the effects of CLA on inflammatory cytokines and adipokines in adults.

Method and materials

This systematic review has been conducted according to the PRISMA statement (31). The present study was registered at PROSPERO CRD42022331110.

Search strategy

We conducted a comprehensive literature search in scientific databases such as PubMed/Medline, Scopus, Web of Science, EMBASE, the Cochrane databases, and Google Scholar to find relevant prospective studies on the effects of CLA supplementation on inflammatory cytokines, adiponectin, and leptin published up to March 2022. There were no restrictions on the length of time or language of publications. The Participant, Intervention, Comparison/Control, Outcome (PICOS) search framework was used (32), which stands for population (both healthy and unhealthy adults), intervention (CLA supplementation), comparison (placebo/control group), outcome (changes in CRP, IL-6, TNF, adiponectin, and leptin), and research design (parallel and crossover randomized clinical trials).

The combination of MESH and non-MESH terms were used for the search, as follows: (“conjugated linoleic acid” OR “conjugated fatty acid” OR “boric acid” OR “rumenic acid” OR “CLA”) AND (intervention OR “intervention study” OR “intervention studies” OR “controlled trial” OR randomized OR random OR randomly OR placebo OR “randomized controlled trial” OR “randomized clinical trial” OR RCT OR blinded OR “double blind” OR “double blinded” OR trial OR “clinical trial” OR trials OR “Pragmatic Clinical Trial” OR “Cross-Over Studies” OR “Cross-Over” OR “cross-over study” OR parallel OR “parallel study” OR “parallel trial”).

Study selection

By reading the titles, abstracts, and full text of the papers as needed, two researchers independently (FS and OA) chose the appropriate articles. The effects of CLA supplementation on inflammatory cytokines and adipokines variables in adults with different health statuses in all human randomized clinical trials)RCTs(.

We incorporated studies that satisfied the following criteria: (1) RCTs (parallel or crossover); (2) used oral intake of CLA; (3) examined the effects of CLA supplementation on CRP, IL-6, TNF-α, adiponectin, and leptin; (4) had an intervention duration of at least 2 weeks (RCTs with two or more eligible arms were considered as separate studies); (5) were performed on adults (≥18 years old); (6) provided means and standard deviations (SDs) for all outcome variables, or any other effect sizes from which the calculation of mean and SD was possible. The searches were limited to human studies with no language restrictions. Animal studies, reviews, in vitro research, research on kids and teenagers, grey literature, conference abstracts, opinion pieces, books, and RCTs without a placebo or control group were excluded. Studies that used CLA in combination with vitamins or minerals were also excluded.

In the present study, we searched for studies that assessed the effects of CLA supplementation on all inflammatory cytokines. After screening and finding eligible studies, we found that most studies evaluated CRP, IL-6, and TNF. In addition, a limited number of studies have evaluated other inflammatory factors such as IL-1 and IL-8. Therefore, we included studies that evaluated the effects of CLA on CRP, IL-6, and TNF.

Data extraction

After quickly skimming the titles, abstracts, and full text to choose the most pertinent research following a separate review of each qualifying RCT, the following data were gleaned by two independent researchers (OA and FS). Name of the first author, country of origin, year of publication, type of clinical trial, participant characteristics (mean age, body mass index (BMI), sex), randomization, blinding, sample size, number of participants in the intervention and control groups, type and dosage of supplemented CLA, duration of the study, and related data were extracted for additional measurements. The CLA dosages were converted to milligrams per day, whether they were given in grams per day or another unit.

Quality assessment

To rate the quality of the studies, the Cochrane Collaboration technique was utilized (33). Two researchers (SR and GS) independently assessed the methods, and any disagreements between their assessments were resolved through discussion. Each study was evaluated for any bias, including those caused by randomized sequence generation, allocation concealment, participant and staff blindness, outcome assessor blindness, insufficient outcome data, selective reporting, and other biases. Thus, three categories were established: high risk of bias (general risk of bias > 2 high risks), low risk of bias (general risk of bias < 2 high risks), and undetermined risk of bias (general risk of bias = 2 high risk).

Statistical analysis

Stata 11.0 was used to conduct the statistical analysis (Stata Corp, College Station, TX, USA). p-values <0.05 were deemed statistically significant for all two-tailed tests. The pooled weighted mean difference (WMD) was calculated using a random-effects model to take into account any existing heterogeneity (due to the different intervention doses, duration, participant health, sample sizes, and length of intervention) developed by Der Simonian and Laird (34). We computed the mean differences in CRP, IL-6, TNF-α, adiponectin, and leptin between the CLA supplementation and control groups from the preintervention to the postintervention. Formula: SD = square root [(SD at baseline)2 + (SD at end of study)2 (2rSD at baseline, SD at end of study)] was used to get the SD of the mean difference (35). For RTCs that only provided standard error of the mean (SEM) information, SD was determined using the following formula: Standard Error of Mean (SEM): SD =, where n is the number of subjects in each group (36). After visual inspection of forest plots or Cochrane’s Q test, heterogeneity was evaluated using the I square (I2) statistic (p < 0.05 and I2 > 40%), with I2 > 40% considered clinically significant (37). The baseline CRP, IL-6, TNF-α, adiponectin, and leptin levels were analyzed, while the intervention duration (< 12 weeks, ≥ 12 weeks) and dosage of CLA (≥ 3 and < 3 g/day) were based on the median values of the included studies and health status (healthy: people without any disease; unhealthy: people suffering from a disease such as atherosclerosis, rheumatoid arthritis, diabetes, etc.). Other subgroup analyses were performed according to gender (man, woman), baseline BMI (normal (18.5–24.9 kg/m²), overweight (25–29.9 kg/m²), and obese (>30 kg/m²)) and isomer’s type (CLA-c9t11, CLA-t10c12, both). Studies examining the effect of CLA supplementation on inflammatory cytokines and adipokines used the Begg’s test and the funnel plot test to evaluate publication bias (38). We used the leave-one-out approach to do a sensitivity analysis to identify how many inferences were dependent on a single sample to examine the influence of each study on the pooled effect size (39). The possible linear association between CLA (mg/day) dose and duration on outcome variables was evaluated using meta-regression, whereas a nonlinear dose–response analysis was used to assess the effect of CLA supplementation dose and duration (40, 41).

Result

The flow of study selection

The flow chart presented in Figure 1 describes the selection process and the references retrieved from the database.

Figure 1

A total of 8,351 studies were identified in the first step of the literature search of electronic databases, PubMed (n = 3,582), ISI Web of Science (n = 1,991), Scopus (n = 2,310), and the Cochrane library (n = 468). After excluding duplicated (n = 2,419) and irrelevant studies based on titles and abstracts (n = 2,804), 104 potentially relevant articles were considered for full-text review. Out of 104 studies, 62 did not have the desired data. Finally, 42 studies (11, 12, 16, 18, 19, 27, 28, 4276) were included in the present meta-analysis, and their characteristics are illustrated in Table 1. The risk of bias assessment is summarized in Table 2.

Table 1

StudiesCountryStudy designParticipantSexSample sizeTrial duration (week)Means ageMeans BMIIntervention
IGCGIGCGIGCGCLA doseIsomer’s typeControl group Whigham
Medina et al. (42)USAParallel, R, PC, BHealthyF: 17107920–4120–4123.2 ± 1.522.2 ± 3.9322.6% 10trans,12cis; 23.6% 11cis,13trans; 17.6% 9cis,11trans; 16.6% 8trans,10cis; 7.7% 9trans,11trans and 10trans,12trans; and 11.9% other isomersPlacebo
Riserus et al. (43)SwedenParallel, R, PC, DBObese men with the metabolic syndromeM: 3819191251 ± 7.153 ± 10.130.1 ± 1.830.2 ± 1.83.435.9% t10c12 CLA, 35.4% c9t11 CLAPlacebo
Riserus et al. (43)SwedenParallel, R, PC, DBObese men with the metabolic syndromeM: 3819191255 ± 7.153 ± 10.131.2 ± 2.530.2 ± 1.83.4CLA-t10c12Placebo
Albers et al. (44)NetherlandsParallel, R, PC, DBHealthy menM: 4725221252 ± 953 ± 1025.3 ± 2.825.3 ± 2.31.750% c9,t11 CLA and 50% t10,c12Control diet
Albers et al. (44)NetherlandsParallel, R, PC, DBHealthy menM: 4624221252 ± 853 ± 1025.7 ± 2.525.3 ± 2.31.680% c9,t11 CLA and 20% t10,c12Control diet
Riserus et al. (45)SwedenParallel, R, PC, DBObese menM: 3819191251 ± 7.153 ± 10.130.1 ± 1.830.2 ± 1.83.4BothControl diet
Riserus et al. (45)SwedenParallel, R, PC, DBObese menM: 3819191255 ± 7.153 ± 10.131.2 ± 2.530.2 ± 1.83.4CLA-t10c12Control diet
Ramakers et al. (50)FranceParallel, R, PC, DBOverweight subjectsM/F (F: 13, M: 13)14121353 ± 758 ± 529 ± 229 ± 23CLA-c9t11Control diet
Ramakers et al. (50)FranceParallel, R, PC, DBOverweight subjectsM/F (F: 12, M: 12)12121356 ± 658 ± 529 ± 329 ± 23CLA-t10c12Control diet
Desroches et al. (46)CanadaCrossover, R, PC, BOverweight and obeseM: 171717436.6 ± 12.436.6 ± 12.431.2 ± 4.431.2 ± 4.44.22BothControl diet
Song et al. (48)UKParallel, R, PC, DBYoung healthy volunteersM/F (F: 20, M: 8)14141231.8 ± 6.8830.9 ± 7.1424.3 ± 3.824.23 ± 3.69350% c9,t11 CLA and 50% t10,c12Control diet
Gaullier et al. (47)NorwayParallel, R, PC, DBHealthy overweight humansM/F (F: 74, M: 14)474110448.6 ± 10.645.1 ± 8.828.3 ± 1.527.4 ± 1.73.450% c9,t11 CLA and 50% t10,c12Placebo
Gaullier et al. (47)NorwayParallel, R, PC, DBHealthy overweight humansM/F (F: 69, M: 18)464110445.1 ± 10.545.1 ± 8.828.1 ± 1.427.4 ± 1.73.450% c9,t11 CLA and 50% t10,c12Placebo
Smedman et al. (49)SwedenParallel, R, PC, DBHealthyM/F (F: 26, M: 27)28251243.312.847.8 ± 10.125.8 ± 3.924.4 ± 4.24.250% c9,t11 CLA and 50% t10,c12Control diet
Naumann et al. (52)NetherlandsParallel, R, PC, DBOverweight subjects with LDL phenotype BM/F: 6834341351 ± 751 ± 928.6 ± 2.328 ± 2.23CLA-c9t11Control diet
Naumann et al. (52)NetherlandsParallel, R, PC, DBOverweight subjects with LDL phenotype BM/F: 5319341355 ± 751 ± 929.3 ± 2.428 ± 2.23CLA-t10c12Control diet
Colakoglu et al. (11)TurkeyParallel, R, PC, SBHealthyF: 261214621.7 ± 220.4 ± 2.522.5 ± 1.721.6 ± 1.63.6BothControl diet–exercise
Colakoglu et al. (11)TurkeyParallel, R, PC, SBHealthyF: 18117620.4 ± 1.721.9 ± 223.3 ± 1.220.8 ± 1.63.6BothControl diet
Taylor et al. (51)UKParallel, R, PC, DBHealthyM/F: 4021191245 ± 647 ± 833 ± 333 ± 34.535% 9c,11t CLA, 36% t10,c12 CLAControl diet
Mullen et al. (57)IrelandParallel, R, PC, DBHealthy middle-agedM: 301515851 ± 8.0447.8 ± 6.3626.2 ± 2.3226 ± 3.42.250% c9,t11 CLA and 50% t10,c12Placebo
Nazare et al. (53)FranceParallel, R, PC, DBHealthy subjectsM/F: 4421231429.4 ± 6.7528.5 ± 5.725.2 ± 1.4525.1 ± 1.483.7650% c9,t11 CLA and 50% t10,c12Placebo
Iwata et al. (55)JapanParallel, R, PC, DBOverweightM: 4020201244.3 ± 10.242.5 ± 10.427.4 ± 227.8 ± 1.95.450% c9,t11 CLA and 50% t10,c12Placebo
Iwata et al. (55)JapanParallel, R, PC, DBOverweightM: 4020201240.5 ± 8.842.5 ± 10.428.1 ± 2.127.8 ± 1.910.850% c9,t11 CLA and 50% t10,c12Placebo
Steck et al. (56)UKParallel, R, PC, DBHealthy obese humansM/F (F: 23, M: 9)16161236.3 ± 8.934.9 ± 832.7 ± 1.832.7 ± 1.93.250% c9,t11 CLA and 50% t10,c12Placebo
Steck et al. (56)UKParallel, R, PC, DBHealthy obese humansM/F (F: 24, M: 8)16161234.1 ± 8.934.9 ± 832.7 ± 1.732.7 ± 1.96.450% c9,t11 CLA and 50% t10,c12Placebo
Whigham et al. (54)CanadaParallel, R, PC, DBHealthyM/F (F: 32, M: 8)22182434 ± 832 ± 727.6 ± 1.828 ± 2.23.239.2% 9cis,11 trans and 38.5% 10trans,12cisPlacebo
Gaullier et al. (27)NorwayParallel, R, PC, DBOverweight and obeseM/F (F: 84, M: 21)55502445.8 ± 1048.7 ± 9.230.5 ± 10.430.2 ± 10.43.450% c9,t11 CLA and 50% t10,c12Placebo
Raff et al. (61)DenmarkParallel, R, PC, DBHealthy young menM: 381820525.7 ± 4.226.1 ± 3.622 ± 1.922.5 ± 2.15.539.4% 9cis,11trans and 38.5% 10trans,12cisControl diet
Aryaeian et al. (60)IranParallel, R, PC, DBRheumatoid ArthritisM/F (F: 38, M: 6)22221246.23 ± 13.0747.95 ± 11.1427.18 ± 0.9928.48 ± 0.842.550% c9,t11 CLA and 50% t10,c12Placebo
Kim et al. (58)KoreaParallel, R, PC, DBHealthy overweight womenF: 2715121226.33 ± 9.429.5 ± 10.825.23 ± 2.1626.47 ± 1.8350% c9,t11 CLA and 50% t10,c12Control diet
Sneddon et al. (28)UKCrossover, R, PC, DBYoung leanM: 1313131230.5 ± 4.930.5 ± 4.923.6 ± 1.523.6 ± 1.5350% c9,t11 CLA and 50% t10,c12Placebo
Sneddon et al. (28)UKCrossover, R, PC, DBYoung obeseM: 1212121232.4 ± 2.332.4 ± 2.432.3 ± 1.932.3 ± 1.9350% c9,t11 CLA and 50% t10,c12Placebo
Sneddon et al. (28)UKCrossover, R, PC, DBOlder leanM: 2020201256.3 ± 4.256.3 ± 4.223.6 ± 1.523.6 ± 1.5350% c9,t11 CLA and 50% t10,c12Placebo
Sneddon et al. (28)UKCrossover, R, PC, DBOlder obeseM: 1414141256.9 ± 5.456.4 ± 5.432 ± 1.632 ± 1.6350% c9,t11 CLA and 50% t10,c12Placebo
Turpeinen et al. (59)FinlandParallel, R, PCSubjects with birch pollen allergyM/F (F: 28, M: 12)20201220–4620–46NRNR265·3% 9cis,11trans-CLA and 8·5% 10trans,12cis-CLAPlacebo
Norris et al. (63)GermanyParallel, R, PC, DBPostmenopausal women with type 2 diabetes mellitusF: 5522331659.4 ± 7.360.1 ± 7.337.1 ± 7.236.3 ± 6.16.441.6% c9,t11 CLA and 40.4% t10,c12Control diet
Zhao et al. (62)ChinaParallel, R, PC, DBObesity-related hypertensionM/F (F: 36, M: 44)4040862.3 ± 3.559.4 ± 2.432.3 ± 2.331.2 ± 1.44.550% c9,t11 CLA and 50% t10,c12Control diet
Sluijs et al. (65)NetherlandsParallel, R, PC, DBOverweight and obese adultsM/F (F: 179, M: 167)1731732458 ± 0.458.8 ± 0.528 ± 9.4527.7 ± 12.754CLA-c9t11Placebo
Tavakkoli Darestani et al. (66)IranParallel, R, PC, DBPostmenopausalF: 7638381255.1 ± 6.454.9 ± 6.927.6 ± 3.427 ± 3.43.250% c9,t11 CLA and 50% t10,c12Placebo
MacRedmond et al. (12)CanadaParallel, R, PC, DBOverweight mild asthmaticsM/F (F: 15, M: 13)15131232.2 ± 8.729.9 ± 3.827.8 ± 4.527.3 ± 3.64.550% c9,t11 CLA and 50% t10,c12Placebo
Sofi et al. (64)ItalyCrossover, R, PCHealthy middle-agedM/F (F: 6, M: 4)1010845.645.625 ± 425 ± 43BothControl diet
Joseph et al. (68)CanadaCrossover, R, PC, DBOverweight, hyperlipidemicM: 272727818–6018–6031.5 ± 431.3 ± 43.550% c9,t11 CLA and 50% t10,c12Placebo
Joseph et al. (68)CanadaCrossover, R, PC, DBOverweight, hyperlipidemicM: 272727818–6018–6031.4 ± 431.3 ± 43.550% c9,t11 CLA and 50% t10,c12Placebo
Pfeuffer et al. (69)GermanyParallel, R, PC, DBObese male subjectsM: 402119445–6845–6828.3 ± 2.327.8 ± 1.34.550% c9,t11 CLA and 50% t10,c12Control diet
Brown et al. (67)USAParalrell, R, PCHealth in young womenF: 1899820–4020–4019–3019–301.17BothControl diet
Rubin et al. (70)GermanyCrossover, R, PC, DBMiddle-aged menM: 353535445–6845–6826 ± 2.626.1 ± 34.25CLA-c9t11Control diet
Rubin et al. (70)GermanyCrossover, R, PC, DBMiddle-aged menM: 353535445–6845–6826 ± 3.526.1 ± 34.25CLA-t10c12Control diet
Eftekhari et al. (73)IranParallel, R, PCAtherosclerotic patientsM/F: 572928852.79 ± 14.1155.85 ± 14.1324.02 ± 2.7624.66 ± 2.34350% c9,t11 CLA and 50% t10,c12Control diet
Shadman et al. (71)IranParallel, R, PC, DBOverweight type2 diabeticsM/F (F: 21, M: 18)1920845.1 ± 5.745.5 ± 4.327.4 ± 0.527.1 ± 1.8350% c9,t11 CLA and 50% t10,c12Placebo
Bulut et al. (72)TurkeyParallel, R, PC, DBYoung menM: 1899419–3119–3127.5 ± 2.626.8 ± 1.9350% c9,t11 CLA and 50% t10,c12Placebo
Lopez-Plaza et al. (16)SpainParallel, R, PC, DBHealthy overweight peopleM/F (F: 29, M: 9)22162443 ± 8.344.35 ± 7.7928.44 ± 1.0828.56 ± 0.95350% c9,t11 CLA and 50% t10,c12Placebo
Aryaeian et al. (19)IranParallel, R, PC, DBRheumatoid arthritisM/F (F: 38, M: 6)22221246.23 ± 13.0747.95 ± 11.1427.18 ± 4.6328.48 ± 3.942.550% c9,t11 CLA and 50% t10,c12Placebo
Dus-Zuchowska et al. (75)PolandParallel, R, PC, DBOverweight and obeseF: 7437371254 ± 454 ± 434 ± 3.535.36 ± 3.56350% c9,t11 CLA and 50% t10,c12Placebo
Baghi et al. (74)IranParallel, R, PC, DBAthleticM: 231310218.46 ± 118.2 ± 0.523.13 ± 0.8923.83 ± 2.185.6BothPlacebo
Abedi et al. (76)IranParallel, R, PC, SBNonalcoholic fatty liver diseaseM/F (F: 32, M: 6)1919836.74 ± 6.8738.58 ± 8.2432.72 ± 4.6335.27 ± 3.463BothControl diet
Aslani et al. (18)IranParallel, R, PC, DBChronic obstructive pulmonary disease (COPD)M/F: 824042663.82 ± 10.5861.55 ± 10.8125.46 ± 3.8545.71 ± 26.113.2BothPlacebo

Characteristics of the included studies.

Table 2

StudiesRandom sequence generationAllocation concealmentSelective reportingOther sources of biasBlinding (participants and personnel)Blinding (outcome assessment)Incomplete outcome dataGeneral risk of bias
Medina et al. (42)LHHHUHLBad
RISerus et al. (43)LHHLLUHBad
Albers et al. (44)LLHLLULGood
Riserus et al. (45)LHHHLUHBad
Desroches et al. (46)LHHHLULBad
Gaullier et al. (47)LHLLLULGood
Song et al. (48)LHLLLULGood
Smedman et al. (49)LHHLHHLBad
Ramakers et al. (50)LLHLLLLGood
Colakoglu et al. (11)LHHHLUHBad
Taylor et al. (51)LHHLLULFair
Naumann et al. (52)LHHHHHHBad
Gaullier et al. (27)LLLHLUHFair
Nazare et al. (53)LHLLLULGood
Iwata et al. (55)LHHHLULBad
Watras et al. (54)LHHHLULBad
Mullen et al. (57)LHHHLULBad
Steck et al. (56)LHHLLULFair
Kim et al. (58)LHHHHHLBad
Sneddon et al. (28)LHHLLULFair
Turpeinen et al. (59)LHHHLUHBad
Aryaeian et al. (60)LHHHLUHBad
Raff et al. (61)LHHHLUHBad
Zhao et al. (62)LHHHLULBad
Norris et al. (63)LLHLLULGood
MacRedmond et al. (12)LHHHHHLBad
Tavakkoli Darestani et al. (66)LLHHLULFair
Sofi et al. (64)LLHLLULGood
Sluijs et al. (65)LLHLLULGood
Joseph et al. (68)LHLHLUHBad
Brown et al. (67)LHHHLUHBad
Pfeuffer et al. (69)LHHLHHHBad
Rubin et al. (70)LLHHLULFair
Shadman et al. (71)LHLLLULGood
Lopez-Plaza et al. (16)LLHHLULFair
Bulut et al. (72)LLHLLULGood
Eftekhari et al. (73)LHHHLULBad
Aryaeian et al. (19)LHHHLULBad
Baghi et al. (74)LHLLLULGood
Dus-Zuchowska et al. (75)LLHHLULFair
Abedi et al. (76)LLLLHHLFair
Aslani et al. (18)LLHHLUHBad

Risk of bias assessment.

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

Good < 2 high risks of bias; Fair = 2 high risks of bias; Bad > 2 high risks of bias.

Study characteristics

All of these studies were RCTs published between 2000 and 2020. Study design characteristics are presented in Table 1. The WMD and 95% CI of CRP (mg/dl), IL-6 (pg/ml), TNF-α (ng/ml), adiponectin (µg/ml), and leptin (ng/ml) and their changes are presented in Figures 2A–E, respectively. The two studies were conducted in the USA (42, 67), three in Sweden (43, 45, 49), three in the Netherlands (44, 52, 65), four in Canada (12, 14, 46, 68), two in Norway (27, 47), four in the UK (28, 48, 51, 56), two in France (50, 53), two in Turkey (11, 72), one in Japan (55), one in Ireland (57), one in Korean (58), one in Finland (59), one in Denmark (61), one in China (62), three in Germany (62, 69, 70), one in Italy (64), one in Spain (16), one in Poland (75), and the others in Iran (18, 19, 60, 66, 71, 73, 74, 76). Thirteen studies included only men and seven women, and 22 included both sexes. There were 37 parallel (11, 12, 16, 18, 19, 27, 4245, 4763, 6567, 69, 7176) and five crossover (28, 46, 64, 68, 70) studies. A total of 1,192 subjects (intervention: 597/control: 595) in terms of CRP, 817 subjects (intervention: 418/control: 399) for IL-6, 779 subjects (intervention: 402/control: 377) for TNF-α, 845 subjects (intervention: 424/control: 421) for adiponectin, and 1,274 subjects (intervention: 649/control: 625) for leptin were enrolled. The duration of the intervention varied from 4 to 104 weeks. The CLA supplements were used in doses of 1.6 to 10.8 mg/day. The mean age and baseline BMI ranged from 20 to 61.55 years and 22.2 to 45.71 kg/m2, respectively. Participant’s health conditions were as follows: obese men with metabolic syndrome (43), overweight subjects with LDL phenotype B (52), both older obese and young lean, older lean, young obese (28), birch pollen allergy (59), obesity-related hypertension (62), postmenopausal women with type 2 diabetes mellitus (63), overweight mild asthmatics (12), postmenopausal women (66), overweight and hyperlipidemic (68), overweight type 2 diabetes (71), healthy overweight people (16, 47, 56), healthy subjects (11, 42, 44, 48, 49, 51, 53, 54, 57, 58, 61, 64, 67, 70, 72), atherosclerotic patients (73), rheumatoid arthritis (19, 60), athletic (74), overweight/obese (27, 45, 46, 50, 55, 65, 69, 75), nonalcoholic fatty liver disease (76), and chronic obstructive pulmonary disease (COPD) (18). Iwata et al. (55), Albers et al. (44), and Steck et al. used two different CLA doses in their studies. Out of the 42 studies, CRP, IL-6, TNF-α, adiponectin, and leptin were reported in 20, 15, 16, 12, and 20, respectively. For supplementation, 47 study arms used mixed isomers (9cis,11trans-CLA and 10trans,12cis-CLA), four study arms used 9cis,11trans-CLA isomer, and five study arms used 10trans,12cis-CLA isomer. In these studies, detection methods of CRP were Behring latex-enhanced high-sensitivity assays, Eckman Synchron CX7 System, enzyme-linked immunosorbent assay, enhanced turbidimetric immunoassay, highly sensitive immunoassay with a monoclonal antibody coated with polystyrene particles, immunoturbidimetric assay, and rabbit antihuman.

Figure 2

Meta-analysis findings

Effect of CLA supplementation on CRP

Overall, 24 effect sizes from 20 studies for CRP were included in the analysis. The results of the analysis showed that CLA supplementation significantly increased CRP compared to placebo [(WMD = 0.26 mg/dl; 95% CI, 0.00 to 0.52; p = 0.048 (I2 = 56.3%, <0.001)] (Figure 2A). The effect of CLA on CRP was significant in studies with baseline CRP less than 3 mg/dl (WMD = 0.31 mg/dl; 95% CI, 0.05 to 0.57; p = 0.016), supplementation dose ≥3 (g/day) (WMD = 0.49 mg/dl; 95% CI, 0.09 to 0.90; p = 0.017), and healthy subgroup (WMD = 0.39 mg/dl; 95% CI, 0.10 to 0.68; p = 0.008). Heterogeneity disappeared in supplementation subgroups of less than 3 (g/day) (I2 = 36.9%, p = 0.104), overweight (25–29.9) (I2 = 15.9%, p = 0.288), and unhealthy subjects (I2 = 52.4%, p = 0.078). In the other subgroups, the effect of CLA supplementation on serum concentrations of CRP was not significant (Table 3).

Table 3

Number of studiesWMD (95%CI)p-valueHeterogeneity
P heterogeneityI2
Subgroup analyses of CLA supplementation on CRP (mg/dl)
Overall effect240.26 (0.00, 0.52)0.048<0.00156.3%
Baseline CRP (mg/dl)
<3150.31 (0.05, 0.57)0.0160.00358.0%
≥390.27 (−0.71, 1.26)0.5830.02853.4%
Trial duration (week)
≥12140.44 (−0.01, 0.89)0.0560.00854.3%
<12100.15 (−0.18, 0.49)0.3610.00760.0%
Health status
Healthy190.39 (0.10, 0.68)0.0080.00157.1%
Unhealthy5−0.21 (−0.84, 0.41)0.5080.07852.4%
Supplementation dose (g/day)
≥3130.49 (0.09, 0.90)0.017<0.00167.3%
<3110.05 (−0.29, 0.40)0.7590.10436.9%
Sex
Both sexes160.34 (−0.12, 0.81)0.1490.00951.3%
Male70.27 (−0.10, 0.65)0.1510.00468.6%
Female1−0.10 (−0.52, 0.32)0.644
Baseline BMI (kg/m2)
Normal (18.5–24.9)30.06 (−0.57, 0.71)0.8360.00186.8%
Overweight (25–29.9)120.25 (−0.07, 0.57)0.1310.28815.9%
Obese (>30)90.25 (−0.07, 0.57)0.1110.00563.8%
Isomer’s type
Both190.25 (−0.05, 0.56)0.104<0.00164.0%
CLA-c9t1130.29 (−0.35, 0.93)0.3730.9480.0%
CLA-t10c1220.45 (−0.08, 0.98)0.1000.6710.0%
Subgroup analyses of CLA supplementation on IL-6 (pg/ml).
Overall effect19−0.66 (−1.14, −0.19)0.006<0.00186.3%
Trial duration (week)
≥12100.32 (−0.19, 0.83)0.2240.33511.7%
<129−1.16 (−1.82, −0.50)0.001<0.00190.4%
Health status
Healthy14−0.55 (−1.39, 0.28)0.192<0.00187.7%
Unhealthy5−0.61 (−1.09, −0.14)0.0100.01767.0%
Supplementation dose (g/day)
≥39−0.15 (−0.44, 0.14)0.310<0.00171.4%
<310−1.65 (−3.45, 0.14)0.072<0.00179.0%
Sex
Both sexes13−0.84 (−2.09, 0.40)0.184<0.00189.6%
Male6−0.31 (−0.51, −0.12)0.0020.33512.5%
Baseline BMI (kg/m2)
Normal (18.5–24.9)2−1.66 (−5.15, 1.82)0.3490.02181.1%
Overweight (25–29.9)10−0.88 (−2.34, 0.57)0.236<0.00187.4%
Obese (>30)6−0.15 (0.49, 0.18)0.3790.00669.5%
Isomer’s type
Both17−0.68 (−1.15, −0.21)0.005<0.00187.2%
CLA-c9t111−7.84 (−16.90, 1.22)0.090
CLA-t10c1215.77 (−0.38, 11.92)0.066
Subgroup analyses of CLA supplementation on TNF-α (ng/ml)
Overall effect19−0.99 (−1.76, −0.22)0.011<0.00190.2%
Trial duration (week)
≥1212−1.21 (−2.44, 0.02)0.055<0.00192.6%
<127−0.73 (−1.74, 0.27)0.155<0.00182.4%
Health status
Healthy15−2.01 (−3.31, −0.71)0.002<0.00192.1%
Unhealthy40.22 (−0.15, 0.60)0.2380.19136.8%
Supplementation dose (g/day)
≥380.09 (−0.53, 0.72)0.772<0.00180.5%
<311−3.08 (−4.91, −1.25)0.001<0.00192.9%
Sex
Both sexes13−1.29 (−2.62, 0.03)0.056<0.00191.8%
Male6−1.01 (−1.95, −0.08)0.033<0.00186.7%
Baseline BMI (kg/m2)
Normal (18.5–24.9)2−9.29 (−18.51, −0.08)0.0480.00190.7%
Overweight (25–29.9)11−0.77 (−1.69, 0.14)0.099<0.00182.1%
Obese (>30)50.35 (−0.35, 1.05)0.327<0.00183.5%
Isomer’s type
Both17−1.41 (−2.31, -0.50)0.002<0.00190.6%
CLA-c9t111−0.29 (−0.92, 0.34)0.369
CLA-t10c1211.29 (0.64, 1.93)<0.001
Subgroup analyses of CLA supplementation on adiponectin (µg/ml)
Overall effect180.01 (−0.68, 0.71)0.976<0.00198.0%
Trial duration (week)
≥1211−0.09 (−0.57, 0.39)0.717<0.00193.2%
<1270.20 (−1.39, 1.79)0.805<0.00193.4%
Health status
Healthy130.05 (−0.38, 0.49)0.811<0.00189.4%
Unhealthy5−0.12 (−2.41, 2.17)0.918<0.00198.7%
Supplementation dose (g/day)
≥311−0.06 (−1.35, 1.23)0.928<0.00197.3%
<370.13 (−0.46, 0.73)0.669<0.00194.6%
Sex
Both sexes60.41 (−1.18, 2.00)0.614<0.00188.7%
Male10−0.04 (−0.50, 0.42)0.865<0.00192.1%
Female2−1.05 (−1.58, −0.52)<0.0010.3112.8%
Baseline BMI (kg/m2)
Normal (18.5–24.9)30.25 (−0.50, 1.01)0.511<0.00193.6%
Overweight (25–29.9)5−0.19 (−0.85, 0.47)0.5680.9430.0%
Obese (>30)10−0.00 (−1.08, 1.07)0.995<0.00198.5%
Isomer’s type
Both150.05 (−0.72, 0.82)0.900<0.00198.3%
CLA-c9t111−0.00 (−1.28, 1.26)0.989
CLA-t10c122−0.25 (−1.15, 0.63)0.57290.0%
Subgroup analyses of CLA supplementation on leptin (ng/ml)
Overall effect28−0.30 (−0.79, 0.17)0.214<0.00195.9%
Trial duration (week)
≥12190.03 (−0.16, 0.23)0.7430.00254.9%
<129−0.81 (−1.71, 0.08)0.0770.00563.8%
Health status
Healthy230.06 (−0.11, 0.24)0.4630.01842.3%
Unhealthy5−1.69 (−1.80, −1.58)<0.0010.4510.0%
Supplementation dose (g/day)
≥319−0.32 (−0.92, 0.28)0.297<0.00196.8%
<39−0.19 (−0.85, 0.46)0.5670.00267.9%
Sex
Both sexes10−0.64 (−1.47, 0.17)0.124<0.00198.4%
Male120.06 (−0.35, 0.48)0.7540.02250.8%
Female6−0.95 (−1.79, −0.12)0.0250.6960.0%
Baseline BMI (kg/m2)
Normal (18.5–24.9)50.50 (0.28, 0.72)<0.0010.7030.0%
Overweight (25–29.9)14−0.00 (−0.14, 0.13)0.9660.34310.0%
Obese (>30)9−0.73 (−1.59, 0.12)0.092<0.00196.6%
Isomer’s type
Both25−0.33 (−0.85, 0.17)0.196<0.00196.4%
CLA-c9t1110.41 (−1.34, 2.18)0.643
CLA-t10c122−0.27 (−1.97, 1.43)0.7560.21036.5%

Subgroup analyses of CLA supplementation on inflammatory cytokines and adipokines.

CI, confidence interval; WMD, weighted mean differences; CLA, conjugated linoleic acid; CRP, c-reactive protein; IL-6, interleukin 6; TNF-α, tumor necrosis factor-alpha.

Effect of CLA supplementation on IL-6

Pooling effect sizes from 15 studies showed that CLA supplementation significantly decreased IL-6 compared to placebo [(WMD = −0.66 mg/dl; 95% CI, −1.14 to −0.19; p = 0.006 (I2 = 86.3%; p < 0.001)] (Figure 2B). The effect of CLA on IL-6 was significant in trials lasting <12 weeks (WMD = −1.16 pg/ml; 95% CI, −1.82 to −0.50; p = 0.001), male subjects (WMD = −0.31 mg/dl; 95% CI, −0.51 to −0.12; p = 0.002), unhealthy subgroup (WMD = −0.61 mg/dl; 95% CI, −1.09 to −0.14; p = 0.010), and when a mixture of two isomers was used (WMD = −0.68 mg/dl; 95% CI, −1.15 to −0.21; p = 0.005). Heterogeneity disappeared in the trial duration of ≥12 week (I2 = 11.7%; p = 0.335) and the male subgroup (I2 = 15.5%; p = 0.335). In the other subgroups, the effect of CLA supplementation on serum concentrations of IL-6 was not significant (Table 3).

Effect of CLA supplementation on TNF-α

Results of pooled 19 random-effects size of CLA supplementation on TNF-α found a significant reduction in TNF-α compared to placebo [(WMD = −0.99 mg/dl; 95% CI, −1.76 to −0.22; p = 0.011; (I2 = 90.2%; p < 0.001)] (Figure 2C). Subgroup analysis showed a more beneficial effect of CLA supplementation in studies with an intervention dose of <3 (g/day) (WMD = −3.08 mg/dl; 95% CI, −4.91 to −1.25; p = 0.001), healthy people (WMD = −2.01 mg/dl; 95% CI, −3.31 to −0.71; p = 0.002), male subjects (WMD = −1.01 mg/dl; 95% CI, −1.95 to −0.08; p = 0.033), subjects with normal range of BMI (18.5–24.9) (WMD = −9.29 mg/dl; 95% CI, −18.51 to −0.08; p = 0.048), and when a mixture of two isomers was used (WMD = −1.41 mg/dl; 95% CI, −2.31 to −0.50; p = 0.002). Interestingly, when the 10trans12cis-CLA isomer was administered, TNF-α was significantly increased (WMD = 1.29 mg/dl; 95% CI, 0.64 to 1.93; p < 0.001). Between-study heterogeneity was out of sight in studies with unhealthy subjects (I2 = 36.8%; p = 0.191). In the other subgroups, the effect of CLA supplementation on serum concentrations of TNF-α was not significant (Table 3).

Effect of CLA supplementation on adiponectin

Combining 18 effect sizes from 12 studies showed that CLA supplementation had no significant effect on adiponectin level in the intervention group compared to placebo [(WMD = −0.01 mg/dl; 95% CI, −0.68 to 0.71; p = 0.976 (I2 = 98.0%, p < 0.001)] (Figure 2D). Subgroup analyses showed a significant decrease in adiponectin levels in the female subjects (WMD = −1.05 mg/dl; 95% CI, −1.58 to −0.52; p < 0.001). Our subgroup analyses indicated no significant between-study heterogeneity in studies conducted on the female subjects (I2 = 2.8%; p = 0.311) and overweight (I2 = 0.0%; p = 0.943) (Table 3).

Effect of CLA supplementation on leptin

Combining 28 effect sizes from 20 studies showed that CLA supplementation had no significant effect on leptin level in the intervention compared to the placebo group [(WMD = −0.30 mg/dl; 95% CI, −0.79 to 0.17; p = 0.214 (I2 = 95.9%; p < 0.001)] (Figure 2E). Subgroup analyses showed a significant decrease in leptin levels in unhealthy subjects (WMD = −1.69 mg/dl; 95% CI, −1.80 to −1.58; p < 0.001), female subjects (WMD = −0.95 mg/dl; 95% CI, −1.79 to −0.12; p = 0.025), and a significant increase in leptin levels in the subjects with normal BMI (18.5–24.9) (WMD = 0.50 mg/dl; 95% CI, 0.28 to 0.72; p < 0.001). Subgroup analyses indicated no significant between-study heterogeneity in studies conducted on unhealthy subjects (I2 = 0.0%; p=0.451), female subjects (I2 = 0.0%; p = 0.696), overweight subjects (I2 = 0.0%; p = 0.943), and subjects with normal range of BMI (I2 = 0.0%; p = 0.703) (Table 3).

Publication bias

Although the visual inspection of funnel plots showed slight asymmetries for all of the outcome variables, no significant publication bias was detected according to Begg’s test for most of the variables, such as CRP (p = 0.189), IL-6 (p = 0.441), adiponectin (p = 0.198), and leptin (p = 0.050). Publication bias was considerable just for TNF-α (p = 0.042) (Figures 3A–E).

Figure 3

Nonlinear dose-response analysis

The present study conducted a nonlinear dose–response regression to analyze the dose–response relationship between CLA supplementation and inflammatory cytokines and adipokines. We did not find a significant nonlinear relationship between dose (g/day) and changes in CRP [(coefficients = −0.059; pnonlinearity = 0.353)] (Figure 4A), IL-6 [(coefficients = −10.437; pnonlinearity = 0.244)] (Figure 4B), TNF-α [(coefficients = −791.208; pnonlinearity = 0.081)] (Figure 4C), adiponectin [(coefficients = 1.337; pnonlinearity = 0.522)] (Figure 4D), and leptin [(coefficients = −77.607; pnonlinearity = 0.841)] (Figure 4E). Moreover, there was a nonlinear association between the duration of intervention and CRP [(coefficients = −0.798; pnonlinearity = 0.164)] (Figure 5A), IL-6 [(coefficients = 2.635; pnonlinearity = 0.247)] (Figure 5B), TNF-α 9[(coefficients = −8.156; pnonlinearity = 0.622)] (Figure 5C), adiponectin [(coefficients = −0.343; pnonlinearity = 0.752)] (Figure 5D), and leptin [(coefficients = 0.056; pnonlinearity = 0.748)] (Figure 5E).

Figure 4

Figure 5

Meta-regression analysis

Meta-regression analyses were performed to assess whether inflammatory cytokines and adipokines were affected by CLA supplementation doses and intervention duration. We found no significant linear association between intervention dose (g/day) and changes in CRP [(coefficients = 0.279; plinearity = 0.304)] (Figure 6A), IL-6 [(coefficients = 0.162; plinearity = 0.384)] (Figure 6B), TNF-α [(coefficients = 0.051; plinearity = 0.538)] (Figure 6C), adiponectin [(coefficients = −0.152; plinearity = 0.616)] (Figure 6D), leptin [(coefficients = 0.138; plinearity = 0.693)] (Figure 6E), nor duration of supplementation (week) and changes in CRP [(coefficients = 1.001; plinearity = 0.365)] (Figure 7A), IL-6 [(coefficients = 0.327; plinearity = 0.528)] (Figure 7B), TNF-α [(coefficients = 0.038; plinearity = 0.737)] (Figure 7C), adiponectin [(coefficients = −0.094; plinearity = 0.944)] (Figure 7D), and leptin [(coefficients = −0.006; plinearity = 0.994)] (Figure 7E).

Figure 6

Figure 7

Sensitivity analysis

The sensitivity analysis demonstrated that no study had a significant impact on the overall findings. Although the overall result of studies reporting data on TNF-α was sensitive to the study by Song et al. (48) (WMD = −0.644; 95% CI, −1.353, 0.065), and IL-6 was sensitive to the study by Sofi et al. (64) (WMD = −0.284; 95% CI, −0.601, 0.033), by omitting these studies, the significance of the correlation between CLA and TNF-α and IL-6 was lost.

In the case of CRP, some studies had an impact on the overall effect size, including that of Whigham et al. (54) (WMD = 0.253; 95% CI, −0.013, 0.520), Smedman et al. (49) (WMD = 0.247; 95% CI, −0.010, 0.506), and Pfeuffer et al. (69) (WMD = 0.257; 95% CI, −0.007, 0.523); the arm “a” and “b” of the study of Ramakers et al. (50) (WMD = 0.258; 95% CI, −0.013, 0.529; WMD = 0.245; 95% CI, −0.028, 0.518), Taylor et al. (51) (WMD = 0.251; 95% CI, −0.009, 0.512), Gaullier et al. (27) (WMD = 0.190; 95% CI, −0.053, 0.434), and Mullen et al. (57) (WMD = 0.226; 95% CI, −0.036, 0.490); the arm “a” and “b” of the study of Steck et al. (56) (WMD = 0.245; 95% CI, −0.010, 0.501; WMD = 0.237; 95% CI = −0.011, 0.485), Raff et al. (61) (WMD = 0.219; 95% CI, −0.046, 0.484), and Sluijs et al. (65) (WMD = 0.262; 95% CI, −0.003, 0.529); and the arm “b” of the study of Joseph et al. (68) (WMD = 0.237; 95% CI, 0.026, 0.501) and Lopez-Plaza et al. (16) (WMD = 0.249; 95% CI, −0.016, 0.515). It was shown that the exclusion of every individual study by the sensitivity analysis could not change the direction of the correlation but eliminated the significant effect of CLA on CRP.

GRADE assessment

Table 4 displays the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) profile of CLA supplementation on inflammatory cytokine and adipokine variables together with the certainty in outcomes. For CRP, because of serious limitations in inconsistency, the quality of evidence was moderate. In the case of IL-6, because of very serious limitations in inconsistency and for TNF-α because of very serious limitations in inconsistency ad serious limitations for publication bias, the quality of evidence was low. For both outcomes, including leptin and adiponectin, because of very serious limitations in inconsistency and serious limitations in imprecision, the quality of evidence was very low.

Table 4

OutcomesRisk of biasInconsistencyIndirectnessImprecisionPublication biasNumber of interventions/controlQuality of evidence
CRPNo serious limitationSerious limitationaNo serious limitationNo serious limitationNo serious limitation1,192 (597/595)⊕⊕⊕◯
Moderate
IL-6No serious limitationVery serious limitationaNo serious limitationNo serious limitationNo serious limitation817 (418/399)⊕⊕◯◯
Low
TNF-αNo serious limitationVery serious limitationaNo serious limitationNo serious limitationSerious limitationc779 (402/377)⊕⊕◯◯
Low
AdiponectinNo serious limitationVery serious limitationaNo serious limitationSerious limitationbNo serious limitation845 (424/421)⊕◯◯◯
Very low
LeptinNo serious limitationVery serious limitationaNo serious limitationSerious limitationbNo serious limitation1,274 (649/625)⊕◯◯◯
Very low

GRADE profile of CLA supplementation for inflammatory cytokines and adipokines.

CLA, conjugated linoleic acid; CRP, c-reactive protein; IL-6, interleukin 6; TNF-α, tumor necrosis factor-alpha.

a

There is a significant heterogeneity for CRP (I2 = 56.3%%), IL-6 (I2 = 86.3%), TNF-α (I2 = 90.2%), adiponectin (I2 = 98.0%), and leptin (I2 = 95.9%).

b

There is no evidence of significant effects of CLA supplementation on adiponectin and leptin.

c

There is significant publication bias for TNF-α (p = 0.042).

Certainty assessment

Using the GRADE methodology, which was previously outlined, the total degree of evidence certainty across the studies was evaluated and summarized (77).

Discussion

In this review, an analysis of pooling 42 studies indicated that CLA supplementation increased CRP concentrations, decreased IL-6 and TNF-α values, and had no effect on adiponectin and leptin levels. Findings of subgroup analyses showed that CLA consumption increased CRP in subjects with normal CRP levels (less than 3 mg/dl) and those who were healthy or consumed CLA in doses of ≥3 g/day. Taking CLA decreased IL-6 in male individuals and unhealthy subjects if the trial duration was less than 12 weeks and when a mixture of two isomers was used. TNF-α was reduced by CLA consumption in studies with an intervention dose of <3 g/day, male subjects, healthy persons, or those having normal baseline BMI, and when a mixture of two isomers was used. However, in subgroup analyses based on isomer type, 10trans12cis- CLA isomer significantly increased TNF-α. Supplementation with CLA reduced adiponectin in women. It also decreased leptin in women and unhealthy adults but increased in those with normal baseline BMI. Moreover, the results of the meta-regression analysis showed that there was no significant linear association between intervention doses and duration of supplementation with inflammatory cytokines and adipokines.

The majority of studies included in this meta-analysis used supplements consisting of mixed amounts of CLA isomers. Therefore, since CLA isomers have shown different effects on inflammation (30, 78), it is suggested that this issue be considered in research. It is also important to consider the contents of the placebo used in studies. Some included RCTs have used vegetable oils as a placebo, such as safflower and olive oils. One study has indicated the reduced effect of safflower oil on CRP levels compared to CLA (79). Another study has elucidated the anti-inflammatory effect of olive oils through the prevention of lipooxygenase and enzymes that synthesize leukotriene (80). In other words, prescribing these vegetable oils as a placebo might misinterpret results.

Diet and physical activity can play an important role in inflammatory conditions (81). It is better to consider the effects of these two factors in the result of the present meta-analysis. Although, in some studies, the confounding variables of physical activity and diet were controlled, in some trials, these factors were not considered.

Diet is an important regulatory factor in the immune response. Malnutrition leads to suppression of the immune system, whereas overnutrition leads to immune activation. Some foods have anti-inflammatory effects, and there are still controversies about others (81). For example, several studies have reported a positive association between the glycemic index/glycemic load of dietary carbohydrates and inflammatory cytokines (81). Also, a high-fat diet causes excessive body fat accumulation and impairs the immune system. On the other hand, it has been reported that trans and saturated fatty acids are significantly associated with the inflammatory state (82). Although ruminant trans fatty acids have different effects than industrial trans fatty acids, several studies show that industrial trans fatty acids promote inflammation, whereas ruminant trans fatty acids have been reported to be harmless or even beneficial to health, as well as also having anti-inflammatory properties (83).

In relation to physical activity, it has been reported that although exercise produces a short-term inflammatory response, regular exercise in the long term has an “anti-inflammatory” effect (84). One study reported that sedentary subjects had higher levels of inflammatory factors such as IL-6 and TNF-α compared to subjects with higher physical activity (85).

Other confounding factors that can affect inflammatory markers are sleep duration and sleep quality. Recently, studies have reported a relationship between longer sleep duration (>8 h) and increased levels of inflammatory markers such as CRP and IL-6 (86, 87). In addition, a study on healthy subjects reported that higher IL-6 levels were associated with lower sleep quality (88).

Here, we showed CLA consumption increased CRP concentrations, decreased IL-6 and TNF-α, and did not change adiponectin and leptin levels. There are some meta-analyses that have investigated the effect of CLA on the abovementioned markers. For example, Derakhshandeh-Rishehri et al. (2019) (89), working on 15 RCTs, revealed that long-term (24 weeks) CLA intake significantly increased CRP levels (89). A meta-analysis conducted by Haghighatdoost et al. (28) showed a significant increase in CRP (n = 8) and TNF-α levels (n = 8) along with a slight decrease in blood IL-6 (n = 9) following CLA supplementation (29). Another meta-analysis (2018) conducted on 19 RCTs demonstrated that CLA intake had a small but not significant decline in plasma leptin. However, it significantly decreased leptin in obese individuals, with trials lasting for less than 24 weeks (21). A study carried out by Mazidi et al. (89) on 14 RCTs indicated that treatment with CLA had no effect on IL-6 but significantly reduced serum TNF-α and adiponectin, besides enhancing serum CRP concentrations (90). By combining previous and current results, it can be acknowledged that except for the effect of CLA in increasing CRP levels, there is no consensus on other markers (i.e., IL-6, TNF-α, adiponectin, and leptin). Moreover, it is noteworthy to state that exercise, dietary intake, sleep duration, and sleep quality can alter the effects of CLA. Therefore, further well-designed studies may clarify the role of CLA on the abovementioned markers.

In the present study, the gender-dependent impact of CLA has also been shown in the reduction of IL-6, TNF-α, adiponectin, and leptin. Based on evidence, CLA can induce testosterone biosynthesis (91), and subsequently, testosterone is able to decrease IL-6 expression (92). It has also been stated that circulating CLA concentrations are greater in women than in men (93). Therefore, the aforementioned evidence can justify the different effects seen between men (IL-6 and TNF-α reduction) and women (adiponectin and leptin reduction) after taking CLA.

The effect of CLA on inflammatory responses has generated inconsistent results. This may be due to isomers and tissue-specific responses of CLA. Moreover, across the included RCTs, administration doses of CLA varied from 1.6 to 10.8 mg/day, and the duration of the treatment differed from 4 to 104 weeks. Health characteristics, inflammation status, and even gut microbiome composition of the recruited individuals were also different (78). These variations in the studies can influence the results and interpretations.

For example, in relation to isomer and tissue-specific response, 9cis,11trans-CLA isomer exerts its anti-inflammatory effect by activating the peroxisome proliferator-activated receptor-γ (PPAR-γ)-dependent pathway and ultimately reducing the production of proinflammatory cytokines such as TNF-α and IL-6 (30). However, the 10trans,12cis-CLA isomer has been reported to have a proinflammatory effect in adipose tissue, in contrast to its effects on innate immunity and vascular cells. In addition, in adipose tissue, activation of PPAR­γ is contrary to the physiological effects of 10trans,12cis-CLA in vitro and in vivo (78). This isomer downregulates PPAR-γ gene expression and increases TNF-α, IL-6, and CRP production in adipose tissue (78, 94). It seems that the reason for this inconsistency is cytokines secreted from adipocytes, which in turn alter PPAR­γ expression and activity in the fat cell. Therefore, inconclusive results regarding the anti-inflammatory properties of CLA are likely due to the subtle proinflammatory effects of the 10trans,12cis-CLA isomers in specific tissues (30, 78). Overall, it appears that CLA can elicit both anti-inflammatory and proinflammatory features.

Some proposed mechanisms for the effects of CLA isomers on inflammation include the following: (1) Modulation of eicosanoid signaling. This means that CLA reduces the production of inflammatory eicosanoids derived from arachidonic acid (AA) through the inhibition of several steps in the AA cascade. (2) Modulating the transcription of some genes, such as the PPAR gene, plays an important role in the regulation of inflammation. Also, it suppresses the expression of the inducible NO synthase (iNOS) gene, which leads to a decrease in IL-6 production. (3) Inhibition of NF-kB activity, which is a transcription factor involved in cytokine gene expression, cellular adhesion, cell cycle activation, apoptosis, and carcinogenesis and is integrally related to inflammatory responses (78, 95).

This meta-analysis has some limitations that should be addressed. Most of the included studies had a relatively small sample size, which can cause an overestimation of the results. Observation of publication bias for TNF-α findings suggests overestimation of CLA efficiency on TNF-α. Moreover, TNF-α, IL-6, and CRP results were sensitive to some studies.

In conclusion, it is suggested that CLA supplementation can have both proinflammatory and anti-inflammatory roles. It can enhance CRP concentrations while reducing TNF-α and IL-6 levels. Furthermore, CLA is able to decrease adiponectin and leptin in women. It can also decrease leptin in unhealthy adults and increase it in subjects with a normal baseline BMI. Finally, in order to improve the quality of studies, future clinical trials are encouraged to carefully consider CLA-isomer-specific regulation of inflammatory markers and take notice of the contents of the placebo used in their control groups. It is also important to keep in mind the gender-dependent impact of CLA.

Statements

Data availability statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding authors.

Author contributions

OA and SR contributed to the conception and design of the study. DA-L, MZ, and GS contributed to data extraction. FS and AK screened articles for inclusion criteria. OA contributed to the data analysis. SR, MY, and EG contributed to manuscript drafting, OA and MZ supervised the study. All authors contributed to the article and approved the submitted version.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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Summary

Keywords

inflammation, cytokines, adipokines, conjugated linoleic acid, meta-analysis

Citation

Rastgoo S, Shimi G, Shiraseb F, Karbasi A, Ashtary-Larky D, Yousefi M, Golalipour E, Asbaghi O and Zamani M (2023) The effects of conjugated linoleic acid supplementation on inflammatory cytokines and adipokines in adults: A GRADE-assessed systematic review and dose–response meta-analysis. Front. Immunol. 14:1092077. doi: 10.3389/fimmu.2023.1092077

Received

07 November 2022

Accepted

02 February 2023

Published

22 February 2023

Volume

14 - 2023

Edited by

Reinaldo B. Oria, Federal University of Ceara, Brazil

Reviewed by

Yanhua Zeng, University of South China, China; Iwona Rudkowska, Laval University, Canada

Updates

Copyright

*Correspondence: Omid Asbaghi, ; Mohammad Zamani,

This article was submitted to Nutritional Immunology, a section of the journal Frontiers in Immunology

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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