Abstract
Chitinase 3-like 1 (CHI3L1) and intelectin 1 (ITLN-1) recognize microbial N-acetylglucosamine polymer and galactofuranosyl carbohydrates, respectively. Both lectins are highly abundant in plasma and seem to play pro- and anti-inflammatory roles, respectively, in obesity and inflammatory-related illnesses. The aim of this study was to examine whether plasma levels of these lectins in obese subjects are useful for monitoring inflammatory conditions immediately influenced by acute aerobic exercise. Plasma interleukin-6, a pro-inflammatory cytokine, was also examined. Twenty-two (11 obese and 11 normal-weight) healthy subjects, ages 18–30 years, were recruited to perform a 30 min bout of acute aerobic exercise at 75% VO2max. We confirmed higher baseline levels of plasma CHI3L1, but lower ITLN-1, in obese subjects than in normal-weight subjects. The baseline levels of CHI3L1 were negatively correlated with cardiorespiratory fitness (relative VO2max). However, when controlled for BMI, the relationship between baseline level of CHI3L1 and relative VO2max was no longer observed. While acute aerobic exercise elicited an elevation in these parameters, we found a lower ITLN-1 response in obese subjects compared to normal-weight subjects. Our study clearly indicates that acute aerobic exercise elicits a pro-inflammatory response (e.g. CHI3L1) with a lower anti-inflammatory effect (e.g. ITLN-1) in obese individuals. Furthermore, these lectins could be predictors of outcome of exercise interventions in obesity-associated inflammation.
Keywords: Obesity, exercise, chitinase-3 protein 1, intelectin-1, interleukin-6, inflammation
Introduction
Obesity is considered a chronic inflammatory condition that enhances the risk of numerous inflammatory diseases, including type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD).1,2 Emerging research indicates that physical activity provides health-related benefits in obesity-associated inflammatory diseases.3,4 However, reliable biomarkers predicting outcome of exercise treatments to prevent or delay obesity-associated inflammatory disease development remain to be studied.
Previously, we have studied plasma chitinase 3-like 1 (CHI3L1) and intelectin 1 (ITLN-1) binding to chitin- and galactofuranosyl carbohydrate-containing microbes, respectively. Chitin, a non-antigenic N-acetylglucosamine polymer and a substrate of CHI3L1, exists in the cell wall of fungi and shells of crustaceans (e.g. crab, shrimp, and lobster). Although mammalians do not possess chitin as a structural component, our laboratory and others have reported elevated plasma levels of CHI3L1 in obese individuals5–7 as well as other inflammatory-related illnesses in humans, such as T2DM, inflammatory bowel disease (IBD), colon cancer, breast cancer, rheumatoid arthritis, bronchial asthma, coronary artery disease, and Alzheimer's disease.8–13 It is particularly important that this CHI3L1 marker has been studied for monitoring weight loss intervention in patients with morbid obesity and obesity-associated T2DM.14,15 In this regard, local inflamed tissues such as intestinal mucosa in IBD10 and adipose tissues in T2DM11 produce CHI3L1. Particularly, activated immune cells including tissue macrophages are considered as major CHI3L1 producers.10 However, our previous study did not show any difference in the quantity of chitin-induced CHI3L1 production by peripheral blood mononuclear cells ex vivo between obese and normal-weight individuals.7
In addition, we have demonstrated that obese individuals present with lower levels of plasma ITLN-1.7 ITLN-1 is mainly expressed by visceral, not subcutaneous, adipose tissue16 and intestinal Paneth cells recognizing bacterial cell wall.17 ITLN-1 not only plays a role of host defense against pathogenic bacteria,18 but also an anti-inflammatory effect of inhibiting tumor necrosis factor-alpha (TNF-α)-mediated inflammation in vascular smooth muscle cells.19 It is important to note that following weight loss, plasma ITLN-1 concentrations tend to normalize (increase) to concentrations observed in normal-weight individuals.20
While increased cardiorespiratory fitness has been shown to provide anti-inflammatory and cardioprotective actions to prevent the risk of CVD,3,21,22 acute intense exercise enhances the activation of inflammatory signaling pathways (e.g. nuclear factor-kappa B [NF-kB]) and the production of inflammatory cytokines (e.g. interleukin-6 [IL-6]).23 Interestingly, acute intense exercise may be more effective to enhance IL-6 and other pro-inflammatory cytokines in obese individuals than normal-weight individuals.24 However, there is limited information regarding the effect of acute exercise on plasma concentrations of CHI3L1 and ITLN-1 in obese populations. In the present study, therefore, we attempted to clarify whether plasma CHI3L1 and ITLN-1 levels would be altered immediately in response to acute aerobic exercise. These lectin levels were also compared between obese and normal-weight subjects. We further determined whether the changes of lectin levels would be associated with plasma IL-6 levels.7,25,26
Material and methods
Subjects
Twenty-two (11 obese [4 men and 7 women] and 11 normal-weight [5 men and 6 women]) untrained healthy subjects ages 18–30 years old were recruited to participate in this study. Subjects with a BMI above 30 kg/m2 comprised the obese group, and those with a BMI between 18.5 and 24.9 kg/m2 comprised the normal-weight group. All subjects completed the informed consent process and a medical history questionnaire prior to data collection. Experimental procedures were approved by Florida Atlantic University's Institutional Review Board.
Subjects were excluded from the study if they possessed any known inflammatory diseases/conditions (e.g. CVD, chronic kidney or liver disease, diabetes) or were currently under medication that may affect the laboratory test results. Subjects were also excluded from the study if they were users of tobacco products (cigarettes, cigars, chewing tobacco), or if they consumed an average of 10 or more alcoholic beverages per week. Subjects were instructed to undergo an overnight fast for at least 8 h and to abstain from alcohol, caffeine intake, and intense physical activity for at least 24 h prior to each laboratory visit. To limit the effect of training on physiological response to acute exercise, those who reported more than 150 min of moderate and high physical activity levels per week were excluded from participation.27 Finally, women who were pregnant, nursing, or taking hormone replacement therapy also were excluded from the study because of the potential effects on immune responses.28
Experimental protocol
Two testing sessions comprised the data collection. Subjects were asked to arrive at the laboratory between 7:00 AM and 9:00 AM for the testing sessions. The first session consisted of informing participants of procedures and obtaining consent to participate, familiarization with all instruments and procedures, assessment of anthropometric parameters, and an assessment of maximal oxygen consumption (VO2 max). A maximal graded exercise test on a treadmill to assess VO2max was then administered beginning with a 3 min warm-up at 3 mph with 0% grade. Speed was subsequently increased to elicit 80% ± 5 bpm of the subject's age-predicted maximal heart rate (HR). After 4 min, grade was increased 2% every 2 min while speed remained constant until voluntary exhaustion resulted within 12–15 min.
HR was assessed while rating of perceived exertion (RPE) was obtained once every exercise stage during maximal exercise testing. Criteria for attaining VO2max included a plateau in O2 consumption and two of the following secondary criteria: respiratory exchange ratio ≥ 1.15, HR within 10 beats/min of subject's age-predicted maximum HR (220-age), and an RPE ≥ 19. HR and blood pressure (BP) were assessed by HR monitors (Polar T31, Polar Electro, Kempele, Finland) and sphygmomanometer (752M-Mobile Series, American Diagnostic Corporation, Hauppauge, NY) prior to exercise and during recovery.
After one week following completion of the first exercise testing session, subjects participated in a 30-min continuous exercise on a treadmill at 75% VO2max as determined during session one, with HR and BP assessment prior to and immediately postexercise. Blood draws were performed by a trained phlebotomist in accordance with institutional review board standard operating procedure prior to, immediately post, and after the conclusion of aerobic exercise at 75% VO2max (recovery 1 h [R1h]). A 10 mL sample of whole blood was collected from the antecubital vein of each subject using a 21G butterfly needle into a tube containing K2 ethylenediaminetetraacetic acid (K2EDTA) (BD Vacutainer, Franklin Lakes, NJ). Blood samples were immediately centrifuged at 1,000×g for 20 min at room temperature. Immediately thereafter, appropriate sample volumes were collected into specific collection tubes for subsequent analysis.
Metabolic measurements
A 5 mL blood sample was collected prior to, immediately post, and R1h in a tube containing K2EDTA for plasma glucose and insulin analyses, and centrifuged for 15 min at 2,000×g at 4℃. All samples were stored at −80℃ for further analyses. Plasma insulin was assayed in duplicate with enzyme-linked immunosorbent assay (ELISA) (ALPCO Diagnostics, Salem, NH). The glucose concentrations were quantified using colorimetric assay kits (Cayman Chemical, Ann Arbor, MI). Subsequently, insulin resistance was evaluated by the homeostasis model of assessment (HOMA-IR) index according to the following formula29: (fasting insulin [μIU/mL] × fasting glucose [mg/dL]) / 405.
Assessment of CHI3L1, ITLN-1, and IL-6
CHI3L1 was assayed in plasma in duplicate with ELISA kits (R&D Systems, Minneapolis, MN). Plasma ITLN-1 was analyzed using ELISA kits (BioVendor, LLC, Candler, NC). Furthermore, plasma concentrations of IL-6 were measured using high sensitivity ELISA kits (R&D Systems, Minneapolis, MN). All analyses were conducted according to the manufacturer's instructions.
Statistical analyses
Data analyses were performed with the Statistical Package for the Social Sciences (SPSS version 20.0). A two group (obese and normal-weight) × three time points (prior to, immediately postexercise, and recovery 1 h) repeated measures analyses of variance (ANOVA) and Bonferroni post hoc comparisons were used to examine the effect of acute aerobic exercise on plasma levels of CHI3L1, ITLN-1, and IL-6. The Greenhouse–Geisser correction of degrees of freedom was used when sphericity assumptions were violated. Significant effects were further analyzed with Bonferroni post hoc comparisons. Independent t-tests were conducted to compare the baseline levels and percent change (baseline to immediately postexercise) on all variables between obese and normal-weight groups. Finally, Pearson product-moment correlations were used to examine the relationships between CHI3L1, ITLN-1, IL-6, and cardiorespiratory fitness level (relative VO2max). Statistical significance was defined as a P value < 0.05. All graphs were generated using Prism software (version 6.0).
Results
Anthropometric and metabolic measurements of the study participants
Baseline anthropometric and metabolic characteristics of obese and non-obese participants are reported in Table 1. Differences between obese and normal-weight groups at baseline were statistically significant for weight, BMI, VO2max, systolic and diastolic BPs, HR, waist/hip circumferences, plasma fasting glucose, and HOMA-IR index. In addition, no differences were found in any outcome variables between men and women.
Table 1.
Variable | Obese (N =11) | Normal-weight (N =11) | P value |
---|---|---|---|
Age (years) | 21.55 ± 0.59 | 23.17 ± 0.68 | 0.069 |
Gender (M/F) | 4/7 | 5/6 | 0.394 |
Height (cm) | 166.68 ± 0.03 | 169.64 ± 0.04 | 0.527 |
Weight (kg) | 97.26 ± 5.11 | 64.21 ± 3.84 | * < 0.001 |
BMI (kg/m2) | 34.81 ± 1.07 | 22.08 ± 0.52 | * < 0.001 |
Absolute VO2max (L/min) | 3.06 ± 0.24 | 3.05 ± 0.31 | 0.976 |
Relative VO2max (mL/kg/min) | 31.18 ± 1.56 | 46.66 ± 2.43 | * < 0.001 |
Systolic blood pressure (mmHg) | 126.55 ± 2.91 | 109.27 ± 2.65 | * < 0.001 |
Diastolic blood pressure (mmHg) | 82.00 ± 2.09 | 72.27 ± 1.77 | * 0.001 |
Heart rate | 74.64 ± 2.76 | 66.36 ± 1.60 | * 0.017 |
Waist circumference (cm) | 97.09 ± 2.57 | 71.73 ± 2.19 | * < 0.001 |
Hip circumference (cm) | 116.17 ± 2.66 | 95.27 ± 1.26 | * < 0.001 |
Plasma fasting glucose (mg/dL) | 98.77 ± 1.51 | 89.87 ± 2.09 | * 0.002 |
Plasma fasting insulin (μlU/mL) | 16.92 ± 4.38 | 7.34 ± 1.81 | 0.057 |
HOMA-IR index | 4.11 ± 1.06 | 1.67 ± 0.44 | * 0.047 |
The * indicates the difference between obese and normal-weight groups. Data are presented as means ± standard error of mean (SEM).
Measurements of circulating CHI3L1, ITLN-1, and IL-6
At baseline, obese subjects showed significantly higher levels of plasma CHI3L1 [t(20) = −2.290, P = 0.033], whereas the concentrations of plasma ITLN-1 were lower [t(20) = 2.214, P = 0.039] compared to normal-weight subjects (Figure 1(a) and (b)). Although our analysis did not show the difference in plasma IL-6 at baseline between two groups (Figure 1(c)), a positive correlation with BMI was observed (r = 0.453, P = 0.034).
Immediately following exercise, a significant elevation in plasma CHI3L1 and IL-6 was found in both obese and normal-weight groups (F([2, 40]) = 31.695, P < 0.001; F ([1.166, 23.312]) = 4.506, P = 0.039, respectively); these increases returned to baseline at recovery 1 h (Figure 1(a) and (c)). Furthermore, acute exercise elicited a lower ITLN-1 plasma response in obese subjects compared to normal-weight subjects (F([2, 40]) = 6.593, P = 0.003) (Figure 1(b)).
Correlation analyses
At baseline, our analyses did not observe any correlation among CHI3L1, ITLN-1, and IL-6. Furthermore, the baseline level of plasma CHI3L1 was negatively correlated with cardiorespiratory fitness level (relative VO2max) (r = −0.479; P = 0.024; Figure 2(a)). However, when controlled for BMI, the relationship between baseline level of CHI3L1 and relative VO2max was no longer observed. In response to acute aerobic exercise, the percent change (baseline to immediately postexercise) of plasma CHI3L1 was positively correlated with the percent change of plasma IL-6 (r = 0.463; P = 0.030; Figure 2(b)), but this relationship did not exist after controlling for BMI. Finally, plasma ITLN-1 was not correlated with either plasma CHI3L1 or IL-6 following exercise.
Discussion
This study confirmed previous observations5,7,16 that obese subjects have higher baseline levels of plasma CHI3L1, but lower ITLN-1, compared to normal-weight subjects. We further demonstrate, for the first time, that acute aerobic exercise immediately increased all these plasma mediators, and these elevations returned to baseline at recovery 1 h. Additionally, the baseline levels of CHI3L1 were negatively correlated with cardiorespiratory fitness (relative VO2max). Nonetheless, when controlled for BMI, this relationship was no longer observed. These findings suggest that circulating pro-inflammatory CHI3L1 and anti-inflammatory ITLN-1 could be biomarkers for monitoring the effectiveness of exercise programs in obese individuals.
Previous research has shown the role of CHI3L1 in promoting the development of pro-inflammatory mediators (e.g. MCP-1/CCL2, CXCL2, MMP-9).30,31 Importantly, Nielsen et al.32 found that IL-6, but not TNF-α, infusions in humans result in elevated plasma CHI3L1 levels, suggesting that IL-6 plays a regulatory role of CHI3L1 production in individuals with elevated BMI following exercise-mediated acute inflammation. However, increased CHI3L1 may provide a negative feedback mechanism to downregulate pro-inflammatory cytokine expression, including IL-6. Specifically, Görgens et al.33 have recently shown that in human skeletal muscle cell culture CHI3L1 decreases IL-6 production via the inhibition of NF-κB activation. While exercise training has been shown to provide physiological benefits and can serve as an adjuvant therapy in various inflammatory diseases,4 the present study clearly indicated that acute aerobic exercise elicits a mixture of pro- and anti-inflammatory responses, which magnitudes, however, seem to be distinct between normal and obese individuals.
In this regard, a provocative finding is that acute exercise increases circulating levels of ITLN-1 in both obese and normal-weight subjects, although the magnitude is greater in normal-weight than obese subjects. Yamawaki et al.34 have demonstrated that ITLN-1 inhibits TNF-α-mediated inflammation (e.g. COX-2) in human endothelial cells. While the relationship between ITLN-1 and IL-6 was not observed in this study, the administration of ITLN-1 in rats decreases IL-6 mRNA intra-thoracic pericardial adipose tissue.35 Additionally, Saremi et al.36 showed increased circulating levels of ITLN-1 in obese subjects following 12 weeks of aerobic training; this elevated ITLN-1 is also associated with improved insulin resistance. Taken together, exercise-induced changes in ITLN-1 may play an important anti-inflammatory role in attenuation of cardiovascular complications and insulin resistance in obesity. Finally, although this study is consistent with previous research showing no gender difference in CHI3L137 and ITLN-1,38 future study is warranted to elucidate whether the levels of these lectins would differ between phases of the menstrual cycle.
In summary, our study demonstrates that acute aerobic exercise not only immediately increases plasma ITLN-1, CHI3L1, and IL-6 in normal-weight subjects, but also obese subjects. While ITLN-1 could be a predictor of outcome of exercise interventions, further investigation should include a larger sample size to examine whether the upregulation of circulating ITLN-1 following exercise would potentially be an obligatory step toward improving exercise-mediated inflammation in obesity.
ACKNOWLEDGEMENTS
Funding for this study was provided by the Departments of Exercise Science and Health Promotion and Biomedical Science at Florida Atlantic University. The University had no further role in study design, in the collection, analysis and interpretation of data, in the writing of the report, and in the decision to submit the paper for publication.
Authors' contributions
All authors participated in the design, interpretation of the studies and analysis of the data, and review of the manuscript. Conception and design: C-JH, YS. Data collection: C-JH, ALS, MW, AM, YS. Data analysis and interpretation: C-JH, MW, YS. Manuscript writing: C-JH, ALS, MW, MW, YS. Final approval of manuscript: C-JH, ALS, MW, AM, YS.
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