Serum fetuin‐A and Ser312 phosphorylated fetuin‐A responses and markers of insulin sensitivity after a single bout of moderate intensity exercise
2021; Wiley; Volume: 9; Issue: 5 Linguagem: Inglês
10.14814/phy2.14773
ISSN2051-817X
AutoresGuang Ren, Robert L. Bowers, Teayoun Kim, A. Jack Mahurin, Peter W. Grandjean, Suresh T. Mathews,
Tópico(s)Iron Metabolism and Disorders
ResumoPhysiological ReportsVolume 9, Issue 5 e14773 ORIGINAL ARTICLEOpen Access Serum fetuin-A and Ser312 phosphorylated fetuin-A responses and markers of insulin sensitivity after a single bout of moderate intensity exercise Guang Ren, orcid.org/0000-0001-7871-2110 Department of Nutrition and Dietetics, Auburn University, Auburn, AL, USASearch for more papers by this authorRobert L. Bowers, School of Kinesiology, Auburn University, Auburn, AL, USASearch for more papers by this authorTeayoun Kim, orcid.org/0000-0003-4664-6803 Department of Nutrition and Dietetics, Auburn University, Auburn, AL, USASearch for more papers by this authorAlonzo J. Mahurin, School of Kinesiology, Auburn University, Auburn, AL, USASearch for more papers by this authorPeter W. Grandjean, orcid.org/0000-0001-9932-6278 School of Kinesiology, Auburn University, Auburn, AL, USASearch for more papers by this authorSuresh T. Mathews, Corresponding Author smathew1@samford.edu orcid.org/0000-0003-0872-0275 Department of Nutrition and Dietetics, Samford University, Birmingham, AL, USA Correspondence Suresh T. Mathews, Department of Nutrition and Dietetics, School of Public Health, Samford University, 800 Lakeshore Dr, Birmingham, AL 35229, USA. Email: smathew1@samford.eduSearch for more papers by this author Guang Ren, orcid.org/0000-0001-7871-2110 Department of Nutrition and Dietetics, Auburn University, Auburn, AL, USASearch for more papers by this authorRobert L. Bowers, School of Kinesiology, Auburn University, Auburn, AL, USASearch for more papers by this authorTeayoun Kim, orcid.org/0000-0003-4664-6803 Department of Nutrition and Dietetics, Auburn University, Auburn, AL, USASearch for more papers by this authorAlonzo J. Mahurin, School of Kinesiology, Auburn University, Auburn, AL, USASearch for more papers by this authorPeter W. Grandjean, orcid.org/0000-0001-9932-6278 School of Kinesiology, Auburn University, Auburn, AL, USASearch for more papers by this authorSuresh T. Mathews, Corresponding Author smathew1@samford.edu orcid.org/0000-0003-0872-0275 Department of Nutrition and Dietetics, Samford University, Birmingham, AL, USA Correspondence Suresh T. Mathews, Department of Nutrition and Dietetics, School of Public Health, Samford University, 800 Lakeshore Dr, Birmingham, AL 35229, USA. Email: smathew1@samford.eduSearch for more papers by this author First published: 02 March 2021 https://doi.org/10.14814/phy2.14773 Funding information: This work was supported by the American Diabetes Association (ADA 7-04-JF-36); the Alabama Agricultural Experiment Station (ALA080-052) and the Malone Zallen Graduate Research Fellowship (MZRF10-01). AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat Abstract Fetuin-A (Fet-A), secreted by the liver and adipose tissue, inhibits insulin receptor tyrosine kinase activity and modulates insulin action. Numerous studies have shown association of elevated serum Fet-A concentrations with obesity, non-alcoholic fatty liver disease, and type 2 diabetes. Both moderate body weight loss (5%–10%) and significant body weight loss have been shown to decrease serum Fet-A and improve insulin sensitivity. Currently, there are no studies examining the effects of a single bout of exercise on serum Fet-A or Ser312-pFet-A (pFet-A) responses. We hypothesized that a single bout of moderate-intensity exercise will lower serum Fet-A and that these changes will be associated with an improvement in insulin sensitivity. Thirty-one individuals with obesity and 11 individuals with normal body weight were recruited. Participants underwent a single bout of treadmill walking, expending 500 kcal at 60%–70% VO2max. Oral glucose tolerance tests (OGTT) were administered before the single bout of exercise (Pre Ex) and 24 h after exercise (24h Post Ex). In individuals with obesity, we observed a transient elevation of serum Fet-A concentrations, but not pFet-A, immediately after exercise (Post Ex). Further, a single bout of exercise decreased glucoseAUC, insulinAUC, and insulin resistance index in individuals with obesity. Consistent with this improvement in insulin sensitivity, we observed that Fet-AAUC, pFet-AAUC, 2 h pFet-A, and 2 h pFet-A/Fet-A were significantly lower following a single bout of exercise. Further, reductions in serum Fet-AAUC 24h Post Ex were correlated with a reduction in insulin resistance index. Together, this suggests that alterations in serum Fet-A following a single bout of moderate-intensity endurance exercise may play a role in the improvement of insulin sensitivity. Clinical Trial Registration NCT03478046; https://clinicaltrials.gov/ct2/show/NCT03478046. 1 INTRODUCTION The benefits of regular physical activity and maintenance of a healthy weight in glycemic control and prevention of obesity and type 2 diabetes have been well documented (Helmrich et al., 1994; Qiu et al., 2012; Schulze & Hu, 2005). It has been well established that a single bout of endurance exercise effectively stimulates whole body insulin sensitivity and glucose tolerance, and that this effect can persist from 2 to 48-h post exercise (Devlin et al., 1987; Devlin & Horton, 1985; Mikines et al., 1988a; Perseghin et al., 1996). Several metabolic and hemodynamic factors can contribute to improvements in glucose homeostasis observed after an acute exercise in insulin-resistant individuals, including enhanced insulin action on skeletal muscle glucose uptake, GLUT4 translocation, GLUT4 mRNA expression, reduced hepatic glucose production, and improved blood flow to skeletal muscle (Egan & Zierath, 2013; Henriksen, 2002; Kraniou et al., 2000; Thorell et al., 1999). Organokines, secreted by specific tissues, with both paracrine and endocrine functions have been shown to regulate different signaling pathways and may play important roles in development of insulin resistance and type 2 diabetes (Hotamisligil, 2006). Exercise has been shown to elicit beneficial adaptive responses in many organs that play an important role against chronic conditions such as obesity (Booth et al., 2012). Interleukin (IL)-6 has been identified as the predominant myokine whose concentrations transiently increase up to 100-fold after prolonged exercise, and only modestly after shorter duration exercise (Fischer, 2006; Pedersen & Febbraio, 2008). However, the relationship between exercise and hepatokines is limited (Stefan & Haring, 2013). A recent study has shown that moderate intensity exercise increased plasma concentrations of hepatokines FGF-21 and follistatin, 4 h and 7 h post exercise, respectively (Willis et al., 2019). Human fetuin-A (Fet-A), also known as alpha2-HS glycoprotein (AHSG), a hepatokine, primarily released from the liver and present in the blood of adults at concentrations ranging from 300 to 600 μg/ml (Dziegielewska et al., 1990; Lebreton et al., 1979; Putman, 1984), was originally identified as a physiological inhibitor of insulin receptor tyrosine kinase (IR-TK) and IR-autophosphorylation in skeletal muscle and liver tissue (Auberger et al., 1989; Goustin & Abou-Samra, 2011; Goustin et al., 2013; Mathews et al., 1997, 2000, 2006; Srinivas et al., 1993). Recently, Fet-A was identified as an endogenous ligand of Toll-like receptor 4 (TLR4) that stimulates inflammation (Pal et al., 2012), and was described as a key hepatokine that regulates insulin action and inflammation (Stefan & Haring, 2013). Elevated circulating Fet-A levels were shown to be associated with obesity, insulin resistance, and an increased risk for type 2 diabetes (Ishibashi et al., 2010; Ix et al., 2006, 2008; Mori et al., 2006; Stefan et al., 2008; Weikert et al., 2008). Previously, it was shown that adults who were habitually sedentary had higher plasma Fet-A compared with physically active counterparts (Jenkins et al., 2011). Recent studies by Malin et al., (2014) have suggested that short-term exercise training, without body weight changes, significantly decreased circulating fetuin-A, which was correlated with the improvement of insulin-regulated glucose uptake. Another recent study by the same authors indicate that 12 weeks of exercise training lowered fetuin-A by 8%, and this was correlated with lower hepatic insulin resistance, increased metabolic flexibility, and HMW-adiponectin. Human circulating Fet-A exists in both phosphorylated (approximately 20%) and dephosphorylated (approximately 80%) forms (Dziegielewska et al., 1990; Haglund et al., 2001). Fetuin-A is phosphorylated on Ser120 and Ser312, with the majority of phosphorylation on Ser312 (~77%) (Haglund et al., 2001). Recently, we have shown that phosphorylation status of Fet-A (pFet-A) was critical for its inhibitory effects on insulin action and that elevated pFet-A concentrations were correlated with obesity and insulin resistance (Ren et al., 2019). Furthermore, a moderate 8% –10% body weight loss significantly decreased serum pFet-A, pFet-A:Fet-A ratio, and was associated with an improvement of insulin sensitivity (Ren et al., 2020). Prior studies have not examined the effects of a single bout of exercise on serum pFet-A and none of them have characterized serum pFet-A or Fet-A immediately post exercise to 24 h after exercise to understand the timecourse effects of exercise. Therefore, the goal of this study was to determine alterations in serum Fet-A and pFet-A post exercise, and 24 h post exercise in normal weight and in individuals with obesity and correlate these changes with surrogate markers of insulin sensitivity. We hypothesized that a single bout of exercise would lead to alterations in serum Fet-A and pFet-A concentration and that these changes would be associated with the improvement of surrogate markers of insulin sensitivity. 2 METHODS 2.1 Study population A total of 31 individuals with obesity and 11 normal-weight individuals were recruited for this study, as reported previously (Ren et al., 2019). All volunteers met the following criteria: between 30 and 65 years of age, non-smokers, no reported cardiovascular or metabolic disease, not currently taking medication known to alter lipid or glucose metabolism, weight stable for the past 6 months, and did not engage in regular physical activity for the past 6 months. Informed consent was obtained from all subjects, and this study received approval from the Auburn University Institutional Review Board (07-210 MR 0710) and was registered on ClinicalTrials.gov (NCT03478046). After the preliminary screening procedures were carried out on the first day, subjects reported to the laboratory on the 3rd day in the fasted state (12-h fast restricted to water only) (Figure 1). Participants were asked to record their diet and physical activity for 3 days. These records were analyzed using the Food Processor software (Esha Research). Participants were counseled to maintain a similar energy and nutrient intake and to refrain from any kind of exercise during the blood sampling timeline. Participants were counseled to maintain a similar energy and nutrient intake and to refrain from any kind of exercise during the blood sampling timeline (Figure 1). A standard oral glucose tolerance test (OGTT) was administered with 75 g glucose. Blood samples were drawn at zero time and 30 min intervals for 2 h following consumption of 75 g glucose to measure blood glucose, serum insulin, serum Fet-A, and pFet-A. All blood samples were obtained by venipuncture from an antecubital vein. Aliquots of serum were stored in −80°C freezer until further analyses. FIGURE 1Open in figure viewerPowerPoint Timeline for blood sampling and single bout of exercise. On day 3, an oral glucose tolerance test was administered. On day 7, participants completed a single bout of endurance exercise expending 500 kcal, 60%–70% VO2max. Fasting blood samples were obtained pre-exercise (Pre Ex), post exercise (Post Ex), and 24 h after the single bout of exercise (24h Post Ex) to assess Fet-A, pFet-A, and markers of insulin sensitivity. An oral glucose tolerance test was administered 24h Post Ex to analyze area under the curve (AUC) for glucose, insulin, insulin resistance index, Fet-A, and pFet-A 2.2 Single bout of exercise On day 7 (Figure 1), participants returned to the laboratory after a 12-h fast (restricted to water only) for pre-exercise blood sampling (Pre Ex). Participants walked or jogged on a motorized treadmill (Trackmaster TMX425, Newton, KS) at 60%–70% of their VO2max for the duration required to expend 500 kcals of energy. Blood samples were taken immediately after exercise (Post Ex). To examine the sustained effects of the single bout of exercise, all subjects reported to the laboratory the next day, i.e., 24 h following the single bout of exercise (24 h Post Ex), i.e., day 8, and a fasting blood sample was collected. Immediately after the fasting blood sample collection, all participants were administered a second OGTT following the same protocol as described previously. 2.3 Serum fetuin-A and Ser312-phosphorylated fetuin-A Serum Fet-A concentrations were assayed in duplicate using an ELISA kit (BioVendor, LLC). Human fetuin-A standards ranging from 2 to 100 ng/ml, quality controls, and 1:10,000 diluted serum samples were added to anti-human fetuin-A antibody-coated microtiter strips. Absorbance was read in a microplate reader at 450 nm. As a human pFet-A ELISA was not commercially available, we assayed this by Western blotting. Serum samples diluted 1:100 in sterile saline and proteins were separated on a 4%–20% gradient SDS–PAGE gel (Bio-Rad), transferred to nitrocellulose membrane, blocked in 5% non-fat dry milk (Bio-Rad), and serum pFet-A was detected using a custom-generated affinity-purified antibody (Affinity BioReagents) against the phosphorylated Ser312-fetuin-A epitope "HTFMGVVSLGSPS(PO4)GEVSHPR." Chemiluminescence was imaged with UVP BioImaging system (UVP), and area densities of the bands were analyzed using UnScan-It software package (Silk Scientific). To assure a standardized quantitation of data and to account for variation in gel-to-gel exposures/density quantitation, serum pFet-A band densities from samples were compared to band pixels of a "normal body weight quality control" serum sample, which was loaded in duplicate on every gel. This approach offered an objective and comparable quantitation of serum levels of pFet-A. Statistical analyses were performed using fold change data compared agaisnt "normal body weight quality control" serum sample. 2.4 Biochemical analysis, insulin resistance, and glucose tolerance Serum glucose (Glucose hexokinase assay kit, Cliniqa Corporation), serum insulin (Millipore Corporation), serum non-esterified fatty acids (NEFA assay kit) were assayed as reported earlier (Ren et al., 2020). Homeostasis model assessment of insulin resistance (HOMA-IR), a reflection of hepatic insulin resistance, was calculated using the following formula: [fasting insulin (μU/ml × fasting glucose (mmol/L)/22.5] (Matthews et al., 1985); adipose insulin resistance (Adipose-IR) was calculated as follows: [fasting NEFA mEq/L × fasting insulin µU/ml] (Abdul-Ghani et al., 2008); quantitative insulin sensitivity check index (QUICKI), a measure of insulin sensitivity, was calculated by [1/(log (fasting insulin µU/ml) + log (fasting glucose mg/dl))] (Katz et al., 2000); glucose to insulin ratio (GIR) was calculated as glucose (mg/dl)/insulin (µU/ml). Total area under the curve for glucose (glucoseAUC) and insulin (insulinAUC) were calculated using the trapezoidal method, by calculating the sum of areas of all equivalent rectangles. Insulin resistance index, which primarily reflects skeletal muscle glucose uptake, was estimated by multiplying insulinAUC and glucoseAUC and dividing by 106 (Evans et al., 2001). 2.5 Statistical analysis An unpaired Student's t test was used to determine statistical differences between baseline characteristics in individuals with normal-weight and individuals with obesity. A two-way ANOVA was used to determine statistically significant differences within intervention groups Pre Ex, Post Ex, 24 h Post Ex and between normal weight and obesity groups. We used the Bonferroni multiple comparison test to identify significant differences. A paired Student's t test was used to identify statistical differences in AUCs between Pre Ex OGTT and 24 h Post Ex OGTT for all participants (both individuals with normal weight and individuals with obesity). Pearson product moment correlation coefficients were used to examine associations, and significance was accepted as p < 0.05. Data are expressed as mean ± SD, unless noted otherwise. 3 RESULTS 3.1 Effect of a single bout of exercise on serum Fet-A, pFet-A, pFet-A/Fet-A, and surrogate markers of insulin sensitivity We previously reported baseline anthropometric, physiological, and metabolic characteristics of normal weight and individuals with obesity (Ren et al., 2019). These studies showed that unlike serum Fet-A, elevated serum pFet-A concentrations were correlated to surrogate markers of insulin resistance, including serum insulin, HOMA-IR, QUICKI, and adipose IR (Ren et al., 2019). However, to ease interpretation of data, demographic data (age, BMI, VO2max) are given in Table 1. In this study, we examined the effects of a single bout of moderate-intensity exercise expending 500 kcals on serum Fet-A, pFet-A, and surrogate markers of insulin resistance/sensitivity. We show that blood glucose, serum insulin, HOMA, and QUICKI were not altered immediately after a single bout of exercise (Post Ex) in individuals who were normal weight or in individuals with obesity (Figure 2). Further, these surrogate markers were not altered 24 h Post Ex in individuals who were normal weight or with obesity. NEFA concentrations were significantly increased Post Ex in both normal-weight participants and in individuals with obesity, and adipose IR increased Post Ex only in individuals with obesity. Further, this transient increase in NEFA and adipose IR returned to Pre Ex levels, 24-h Post Ex. Serum Fet-A concentrations were transiently increased Post Ex and returned to Pre Ex levels 24 h after the single bout of exercise in individuals with obesity, but not in individuals with normal weight. The phosphorylated form of serum Fet-A, i.e., pFet-A and the ratio of pFet-A to total Fet-A were not altered Post Ex or 24 h Post Ex compared with Pre Ex levels in individuals with obesity or normal weight (Figure 2). Independent of body weight (all participants), we observed a transient increase in serum Fet-A concentrations, which was restored to Pre Ex levels 24 h after the single bout of exercise. However, serum pFet-A and the ratio of pFet-A to total Fet-A were not altered Post Ex or 24 h Post Ex (Figure 2). TABLE 1. Descriptive characteristics for normal weight (n = 11) and obese (n = 31) individuals Variables Total (n = 42) Normal weight (n = 11) Obesity (n = 31) p value Mean ± SD Mean ± SD Mean ± SD Age (years) 43.3 ± 9.5 43.3 ± 10.7 43.3 ± 9.2 0.944 Height (cm) 177.1 ± 7.3 174.8 ± 6.3 177.8 ± 7.4 0.181 Weight (kg) 103.3 ± 26.1 72.6 ± 6.3 114.2 ± 12.2 <0.001 BMI (kg/m2) 32.8 ± 7.6 23.9 ± 2.0 36.0 ± 6.1 <0.001 Rest SBP (mm Hg) 124.5 ± 13.4 114.9 ± 11.1 127.9 ± 12.6 0.004 Rest DBP (mm Hg) 80.6 ± 9.2 75.1 ± 6.3 82.5 ± 9.3 0.019 VO2max (ml/kg/min) 30.1 ± 7.1 36.0 ± 6.2 28.0 ± 6.1 0.001 VO2max absolute (L/min) 2.97 ± 0.54 2.59 ± 0.39 3.10 ± 0.53 0.006 Note p value shown for comparison of individuals with normal weight vs individuals with obesity. Abbreviations: BMI, body mass index; DBP, diastolic blood pressure; SBP, systolic blood pressure; VO2max, maximum rate of oxygen consumption. FIGURE 2Open in figure viewerPowerPoint Fasting serum Fet-A, pFet-A, pFet-A/Fet-A, and metabolic indices individuals with normal weight (n = 11) and individuals with obesity (n = 31) and all participants (n = 42) before exercise (Pre Ex), immediately after exercise (Post Ex), and 24 h after a single bout of exercise expending 500 kcal (24h Post Ex). A representative Western blot depicting alterations in serum pFet-A, from Pre Ex, Post Ex, and 24h Post Ex timepoints in an individual with normal weight and an individual with obesity is shown (inset). NEFA: non-esterified fatty acids; HOMA-IR: Homeostasis model assessment of insulin resistance; Adipose-IR: adipose insulin resistance; and QUICKI: Quantitative insulin sensitivity check index. Data are expressed as Mean ± SEM. Statistical significance for comparisons of all participants are shown as follows: ***Pre-Ex vs Post Ex, p < 0.001; ###Post Ex vs 24h Post Ex, p < 0.001; #Post Ex vs 24 h Post Ex, p < 0.05. In individuals with normal weight or obesity, different letters in superscript following values indicate statistical significance, p < 0.05 3.2 Serum glucose, insulin, Fet-A, and pFet-A responses to an oral glucose tolerance test To further elucidate insulin sensitivity measurements, we compared glucose, insulin, Fet-A, and pFet-A responses to an OGTT conducted at both Pre Ex and 24 h Post Ex. Independent of body weight (all participants), glucoseAUC, insulinAUC, Fet-AAUC (p = 0.0508), pFet-AAUC, 2 h pFet-A, and 2 h pFet-A/Fet-A were significantly decreased 24 h after a single bout of endurance exercise (Table 2). In individuals with obesity, we demonstrate an improvement in 24 h Post Ex glucoseAUC, insulinAUC, insulin resistance index, Fet-AAUC, and pFet-AAUC, but not pFet-AAUC/Fet-AAUC compared with Pre Ex (p < 0.05) (Table 2). Similarly, 2 h glucose, 2 h insulin, and 2 h pFet-A, and 2 h pFet-A/Fet-A, but not serum Fet-A, were significantly lowered 24 h after a single bout of exercise in individuals with obesity. In normal-weight individuals, no significant changes were observed in response to a 24 h Post Ex OGTT in serum Fet-A, pFet-A, pFet-A/Fet-A, or insulin sensitivity measures compared with Pre Ex OGTT (Table 2). TABLE 2. Metabolic indices, following an oral glucose tolerance test, in all participants (n = 42), individuals with normal weight (n = 11), and obesity (n = 31), before exercise (Pre Ex) and 24 h after a single-bout of exercise (24 h Post Ex), expending 500 kcal Variables All participants (n = 42) Normal weight (n = 11) Obesity (n = 31) Pre Ex 24 h Post Ex Pre Ex 24 h Post Ex Pre Ex 24 h Post Ex GlucoseAUC 16738 ± 3848 15396 ± 3343****** p < 0.001; 13947 ± 1802a 13154 ± 1542a 17718 ± 3849b 16219 ± 3463c InsulinAUC 13901 ± 7528 12065 ± 6976****** p < 0.001; 5766 ± 3825a 4448 ± 3011a 16866 ± 6126b 14859 ± 5823c NEFAAUC 41.6 ± 16.9 41.3 ± 17.9 23.4 ± 7.9a 25.3 ± 7.2a 48.3 ± 14.1b 47.2 ± 17.0b Insulin resistance index 246.5 ± 158.2 194.8 ± 131.1****** p < 0.001; 80.4 ± 50.7a 59.2 ± 42.1a 306.1 ± 136.8b 244.6 ± 116.5c Fet-AAUC 38933 ± 7168 37924 ± 6644## p = 0.0508. 35110 ± 5436a 35614 ± 5484a 40212 ± 7197b 38772 ± 6910a pFet-AAUC 262.2 ± 147 227.9 ± 138** p < 0.05, 170.6 ± 57.9a 185.9 ± 79.4a 296.3 ± 153.7b 243.3 ± 152.2a pFet-AAUC/Fet-AAUC 1.41 ± 0.81 1.30 ± 0.89 1.00 ± 0.30a 1.07 ± 0.37a 1.57 ± 0.88a 1.38 ± 1.01a 2 h glucose (mg/dl) 107.2 ± 30.1 98.9 ± 23.7** p < 0.05, 95.7 ± 22.5a 92.7 ± 13.2a 111.3 ± 31.4b 101.2 ± 26.5a 2 h insulin (μU/ml) 92.3 ± 64.9 73.6 ± 60.0**** p < 0.01, 40.1 ± 28.9a 33.7 ± 29.0a 109.8 ± 63.7b 88.6 ± 62.0c 2 h NEFA (mEq/L) 0.25 ± 0.21 0.21 ± 0.12 0.11 ± 0.04a 0.13 ± 0.08a 0.31 ± 0.21b 0.24 ± 0.13b 2 h Fet-A (μg/ml) 325.2 ± 65.4 319.7 ± 64.5 293.9 ± 46.2a 295.4 ± 46.2a 335.6 ± 67.4a 328.7 ± 68.5a 2 h pFet-A (scan units) 2.27 ± 1.30 1.61 ± 1.26**** p < 0.01, 1.50 ± 0.44a 1.53 ± 1.04a 2.51 ± 1.39b 1.65 ± 1.35a 2 h pFet-A/Fet-A 1.46 ± 0.89 1.09 ± 0.99**** p < 0.01, 1.06 ± 0.33a 1.01 ± 0.56a 1.60 ± 0.9b 1.13 ± 1.12a Note Data are shown as Means + SD. For comparisons between individuals with normal weight vs obesity, different letters in superscript following values indicate statistical significance either within the group or between groups, p < 0.05. Abbreviation: AUC, area under the curve. For comparison of Pre Ex vs 24 h Post variables among all participants, statistical significance is indicated as follows: * p < 0.05, ** p < 0.01, *** p < 0.001; # p = 0.0508. 3.3 Correlation analysis We analyzed changes in 24 h Post Ex compared with Pre Ex concentrations and observed that changes in insulin resistance index were correlated with changes in serum Fet-AAUC (r = 0.40, p = 0.01) and changes in insulinAUC tended to correlate with changes in serum Fet-AAUC (r = 0.30, p = 0.055), but not with serum pFet-AAUC or pFet-AAUC/Fet-AAUC ratio (Figure 3). Further, fasting serum Fet-A, pFet-A, or pFet-A/Fet-A ratio were not correlated to changes in surrogate markers of insulin resistance/sensitivity comparing Pre Ex with Post Ex or Pre Ex with 24 h Post Ex (data not shown). FIGURE 3Open in figure viewerPowerPoint Area under the curve (AUC) for glucose, insulin, Fet-A and pFet-A was calculated following an oral glucose tolerance test to compare changes (Δ) from Pre Ex to 24h Post Ex in serum Fet-AAUC with Δ in glucoseAUC (a), insulinAUC (b), and insulin resistance index (insulinAUC × glucoseAUC/106) (c); Δ in pFetAAUC with Δ in glucoseAUC (d); insulinAUC (e); insulin resistance index (f); and Δ in pFet-AAUC/Fet-AAUC with Δ in glucoseAUC (g); insulinAUC (h); insulin resistance index (i) in all participants. Correlation was determined using Pearson product-moment correlation coefficient (individuals with normal weight shown using open circles and individuals with obesity shown using closed circles) 4 DISCUSSION In this study, we report for the first time changes in serum Fet-A and pFet-A following a single bout of endurance exercise in both indivituals with normal-weight and individuals with obesity. This study is unique, because it examines (a) alterations of serum Fet-A, a negative acute-phase reactant, immediately and 24 h after a single bout of exercise, (b) serum Fet-A and pFet-A responses independent of weight loss, and (c) association of serum Fet-A and pFet-A with the improvement of insulin sensitivty after a single bout of exercise. Our studies indicate that, independent of body weight, a single bout of endurance exercise, expending 500 kcal, led to a significant transient increase in serum Fet-A but not serum pFet-A or pFet-A/Fet-A. These transient changes in serum Fet-A were restored to normal levels 24 h after the single bout of exercise. Our studies showed that the ratio of serum pFet-A/Fet-A was not altered Post Ex or 24 h Post Ex in individuals with normal weight or obesity , suggesting that the dynamic responses observed may be attributed to changes in total serum Fet-A and not its phosphorylated (pFet-A) form. However, the transient increase in serum Fet-A was not associated with the transient increase in NEFA concentrations. Light and moderate-intensity exercise has been shown to increase delivery of NEFA in plasma, primarily from adipose tissue, and from intramyocellular triacylglycerol (Frayn, 2010). As liver has been identified as the key source for circulating Fet-A, adipocytes have also been shown to secrete Fet-A (Jialal & Pahwa, 2019). Thus, although it is possible that Fet-A may be secreted by the adipocytes, in response to a single bout of exercise via muscle contraction, cytokine- or hormone-mediated mechanisms (Khadir et al., 2018; Woltje et al., 2006), the relative contribution of these two tissue sources to circulation may be vastly different, because Fet-A (AHSG) mRNA expression is at least 400 times higher in liver than in adipose tissue, based on consensus data from normalized expression levels for 55 tissue types created from three transcriptomics datasets (HPA, GTEx, and FANTOM5) (Uhlen et al.,). Transient changes, caused by acute exercise, alters various aspects of muscle, adipose, and liver tissue function independent of body weight loss, and exerts beneficial consequences in metabolism and improves insulin sensitivity (Egan & Zierath, 2013; Hawley et al., 2014). Previous studies also demonstrated that a single bout of exercise has prolonged effects (up to 18 h) on postprandial response to food intake, such as reducing hepatic secretion of very-low-density lipoprotein, increasing triacylglycerol clearance, and increasing postprandial leg blood flow and glucose uptake (Gill et al., 2001a, 2001b; Malkova et al., 2000). The prolonged effects of single bout of exercise also have been found to alter trafficking of dietary fat and fat oxidation (Gill, Frayn, et al., 2001; Votruba et al., 2002). Our findings of improved insulin sensitivity 24 h after a single bout of moderate intensity exercise (60%–70% VO2max and expending 500 kcals), as demonstrated through improvements in 2 h glucose, 2 h insulin, glucoseAUC, insulinAUC, and insulin resistance
Referência(s)