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Integrative Biology

Gastric bypass surgery with exercise alters plasma microRNAs that predict improvements in cardiometabolic risk

Abstract

Background/Objectives:

Roux-en-Y gastric bypass (RYGB) surgery improves insulin sensitivity (SI) and β-cell function in obese non-diabetic subjects. Exercise also improves SI and may be an effective adjunct therapy to RYGB surgery. However, the mechanisms by which exercise or weight loss improve peripheral SI after RYGB surgery are unclear. We hypothesized that microRNAs (miRNAs) mediate at least some of the regulatory processes driving such mechanisms. Consequently, this work aimed at profiling plasma miRNAs in participants of the Physical Activity Following Surgery Induced Weight Loss study (clinicaltrials.gov identifier: NCT00692367), to assess whether miRNA levels track with improvements in SI and cardiometabolic risk factors.

Subjects/Methods:

Ninety-four miRNAs implicated in metabolism were profiled in plasma samples from 22 severely obese subjects who were recruited 1–3 months after RYGB surgery and followed for 6 months of RYGB surgery-induced weight loss, with (exercise program (EX), N=11) or without (CON, N=11) an exercise training intervention. The subjects were selected, considering a priori sample size calculations, among the participants in the parent study. Mixed-effect modeling for repeated measures and partial correlation analysis was implemented in the R environment for statistical analysis.

Results:

Mirroring results in the parent trial, both groups experienced significant weight loss and improvements in cardiometabolic risk. In the CON group, weight loss significantly altered the pattern of circulating miR-7, miR-15a, miR-34a, miR-106a, miR-122 and miR-221. In the EX group, a distinct miRNA signature was altered: miR-15a, miR-34a, miR-122, miR-135b, miR-144, miR-149 and miR-206. Several miRNAs were significantly associated with improvements in acute insulin response, SI, and other cardiometabolic risk factors.

Conclusions:

These findings present novel insights into the RYGB surgery-induced molecular changes and the effects of mild exercise to facilitate and/or maintain the benefits of a ‘comprehensive’ weight-loss intervention with concomitant improvements in cardiometabolic functions. Notably, we show a predictive value for miR-7, miR-15a, miR-106b and miR-135b.

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References

  1. Bradley D, Magkos F, Klein S . Effects of bariatric surgery on glucose homeostasis and type 2 diabetes. Gastroenterology 2012; 143: 897–912.

    Article  CAS  Google Scholar 

  2. Coen PM, Tanner CJ, Helbling NL, Dubis GS, Hames KC, Xie H et al. Clinical trial demonstrates exercise following bariatric surgery improves insulin sensitivity. J Clin Invest 2015; 125: 248–257.

    Article  Google Scholar 

  3. Plum L, Ahmed L, Febres G, Bessler M, Inabnet W, Kunreuther E et al. Comparison of glucostatic parameters after hypocaloric diet or bariatric surgery and equivalent weight loss. Obesity 2011; 19: 2149–2157.

    Article  CAS  Google Scholar 

  4. Ebert MS, Sharp PA . Roles for microRNAs in conferring robustness to biological processes. Cell 2012; 149: 515–524.

    Article  CAS  Google Scholar 

  5. Seyhan AA . microRNAs with different functions and roles in disease development and as potential biomarkers of diabetes: progress and challenges. Mol Biosyst 2015; 11: 1217–1234.

    Article  CAS  Google Scholar 

  6. Friedman RC, Farh KK, Burge CB, Bartel DP . Most mammalian mRNAs are conserved targets of microRNAs. Genome Res 2009; 19: 92–105.

    Article  CAS  Google Scholar 

  7. Bonafe M, Olivieri F . Circulating microRNAs in aging. Oncotarget 2015; 6: 1340–1341.

    Article  Google Scholar 

  8. Kirby TJ, McCarthy JJ . MicroRNAs in skeletal muscle biology and exercise adaptation. Free Radic Biol Med 2013; 64: 95–105.

    Article  CAS  Google Scholar 

  9. Seyhan AA, Nunez Lopez YO, Xie H, Yi F, Mathews C, Pasarica M et al. Pancreas-enriched miRNAs are altered in the circulation of subjects with diabetes: a pilot cross-sectional study. Sci Rep 2016; 6: 31479.

    Article  CAS  Google Scholar 

  10. Cortez MA, Bueso-Ramos C, Ferdin J, Lopez-Berestein G, Sood AK, Calin GA . MicroRNAs in body fluids—the mix of hormones and biomarkers. Nat Rev Clin Oncol 2011; 8: 467–477.

    Article  CAS  Google Scholar 

  11. Weber JA, Baxter DH, Zhang S, Huang DY, Huang KH, Lee MJ et al. The microRNA spectrum in 12 body fluids. Clin Chem 2010; 56: 1733–1741.

    Article  CAS  Google Scholar 

  12. Kwon IG, Ha TK, Ryu SW, Ha E . Roux-en-Y gastric bypass stimulates hypothalamic miR-122 and inhibits cardiac and hepatic miR-122 expressions. J Surg Res 2015; 199: 371–377.

    Article  CAS  Google Scholar 

  13. Ortega FJ, Mercader JM, Catalan V, Moreno-Navarrete JM, Pueyo N, Sabater M et al. Targeting the circulating microRNA signature of obesity. Clin Chem 2013; 59: 781–792.

    Article  CAS  Google Scholar 

  14. Wu Q, Li JV, Seyfried F, le Roux CW, Ashrafian H, Athanasiou T et al. Metabolic phenotype-microRNA data fusion analysis of the systemic consequences of Roux-en-Y gastric bypass surgery. Int J Obes (Lond) 2015; 39: 1126–1134.

    Article  CAS  Google Scholar 

  15. Creemers EE, Tijsen AJ, Pinto YM . Circulating microRNAs: novel biomarkers and extracellular communicators in cardiovascular disease? Circ Res 2012; 110: 483–495.

    Article  CAS  Google Scholar 

  16. Cho WC . Circulating microRNAs as minimally invasive biomarkers for cancer theragnosis and prognosis. Front Genet 2011; 2: 7.

    PubMed  PubMed Central  Google Scholar 

  17. Ortega FJ, Mercader JM, Moreno-Navarrete JM, Rovira O, Guerra E, Esteve E et al. Profiling of circulating microRNAs reveals common microRNAs linked to type 2 diabetes that change with insulin sensitization. Diabetes Care 2014; 37: 1375–1383.

    Article  CAS  Google Scholar 

  18. Raffort J, Hinault C, Dumortier O, Van Obberghen E . Circulating microRNAs and diabetes: potential applications in medical practice. Diabetologia 2015; 58: 1978–1992.

    Article  CAS  Google Scholar 

  19. Schwarzenbach H, Nishida N, Calin GA, Pantel K . Clinical relevance of circulating cell-free microRNAs in cancer. Nat Rev Clin Oncol 2014; 11: 145–156.

    Article  CAS  Google Scholar 

  20. Wu C, Arora P . MicroRNA passenger strand: orchestral symphony of paracrine signaling. Circ Cardiovasc Genet 2014; 7: 567–568.

    Article  Google Scholar 

  21. Katsuda T, Ikeda S, Yoshioka Y, Kosaka N, Kawamata M, Ochiya T . Physiological and pathological relevance of secretory microRNAs and a perspective on their clinical application. Biol Chem 2014; 395: 365–373.

    Article  CAS  Google Scholar 

  22. Arner P, Kulyte A . MicroRNA regulatory networks in human adipose tissue and obesity. Nat Rev Endocrinol 2015; 11: 276–288.

    Article  CAS  Google Scholar 

  23. Safdar A, Saleem A, Tarnopolsky MA . The potential of endurance exercise-derived exosomes to treat metabolic diseases. Nat Rev Endocrinol 2016; 12: 504–517.

    Article  CAS  Google Scholar 

  24. Coen PM, Menshikova EV, Distefano G, Zheng D, Tanner CJ, Standley RA et al. Exercise and weight loss improve muscle mitochondrial respiration, lipid partitioning, and insulin sensitivity after gastric bypass surgery. Diabetes 2015; 64: 3737–3750.

    Article  CAS  Google Scholar 

  25. Dirksen C, Jorgensen NB, Bojsen-Moller KN, Jacobsen SH, Hansen DL, Worm D et al. Mechanisms of improved glycaemic control after Roux-en-Y gastric bypass. Diabetologia 2012; 55: 1890–1901.

    Article  CAS  Google Scholar 

  26. R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing: Vienna, Austria, 2016.

  27. Diggle P, Heagerty P, Liang K-Y, Zeger S . Analysis of Longitudinal Data. 2nd edn, Oxford University Press, 2002; 396 p.

    Google Scholar 

  28. Zampetaki A, Kiechl S, Drozdov I, Willeit P, Mayr U, Prokopi M et al. Plasma microRNA profiling reveals loss of endothelial miR-126 and other microRNAs in type 2 diabetes. Circ Res 2010; 107: 810–817.

    Article  CAS  Google Scholar 

  29. Sun LL, Jiang BG, Li WT, Zou JJ, Shi YQ, Liu ZM . MicroRNA-15a positively regulates insulin synthesis by inhibiting uncoupling protein-2 expression. Diabetes Res Clin Pract 2011; 91: 94–100.

    Article  CAS  Google Scholar 

  30. Andersen DC, Laborda J, Baladron V, Kassem M, Sheikh SP, Jensen CH . Dual role of delta-like 1 homolog (DLK1) in skeletal muscle development and adult muscle regeneration. Development (Cambridge, England) 2013; 140: 3743–3753.

    Article  CAS  Google Scholar 

  31. Wang R, Hong J, Cao Y, Shi J, Gu W, Ning G et al. Elevated circulating microRNA-122 is associated with obesity and insulin resistance in young adults. Eur J Endocrinol 2015; 172: 291–300.

    Article  CAS  Google Scholar 

  32. Esau C, Davis S, Murray SF, Yu XX, Pandey SK, Pear M et al. miR-122 regulation of lipid metabolism revealed by in vivo antisense targeting. Cell Metab 2006; 3: 87–98.

    Article  CAS  Google Scholar 

  33. Salvoza NC, Klinzing DC, Gopez-Cervantes J, Baclig MO . Association of circulating serum miR-34a and miR-122 with dyslipidemia among patients with non-alcoholic fatty liver disease. PloS One 2016; 11: e0153497.

    Article  Google Scholar 

  34. Fu T, Choi SE, Kim DH, Seok S, Suino-Powell KM, Xu HE et al. Aberrantly elevated microRNA-34a in obesity attenuates hepatic responses to FGF19 by targeting a membrane coreceptor beta-Klotho. Proc Natl Acad Sci USA 2012; 109: 16137–16142.

    Article  CAS  Google Scholar 

  35. Christou NV, Lieberman M, Sampalis F, Sampalis JS . Bariatric surgery reduces cancer risk in morbidly obese patients. Surg Obes Relat Dis 2008; 4: 691–695.

    Article  Google Scholar 

  36. Deiuliis JA . MicroRNAs as regulators of metabolic disease: pathophysiologic significance and emerging role as biomarkers and therapeutics. Int J Obes (Lond) 2016; 40: 88–101.

    Article  CAS  Google Scholar 

  37. Lustig Y, Barhod E, Ashwal-Fluss R, Gordin R, Shomron N, Baruch-Umansky K et al. RNA-binding protein PTB and microRNA-221 coregulate AdipoR1 translation and adiponectin signaling. Diabetes 2014; 63: 433–445.

    Article  CAS  Google Scholar 

  38. Tanaka R, Tomosugi M, Horinaka M, Sowa Y, Sakai T . Metformin causes G1-phase arrest via down-regulation of MiR-221 and enhances TRAIL sensitivity through DR5 up-regulation in pancreatic cancer cells. PloS One 2015; 10: e0125779.

    Article  Google Scholar 

  39. Coleman CB, Lightell Jr DJ, Moss SC, Bates M, Parrino PE, Woods TC . Elevation of miR-221 and -222 in the internal mammary arteries of diabetic subjects and normalization with metformin. Mol Cell Endocrinol 2013; 374: 125–129.

    Article  CAS  Google Scholar 

  40. Hsieh CH, Rau CS, Wu SC, Yang JC, Wu YC, Lu TH et al. Weight-reduction through a low-fat diet causes differential expression of circulating microRNAs in obese C57BL/6 mice. BMC Genomics 2015; 16: 699.

    Article  Google Scholar 

  41. Zhang H, Yang H, Zhang C, Jing Y, Wang C, Liu C et al. Investigation of microRNA expression in human serum during the aging process. J Gerontol A Biol Sci Med Sci 2015; 70: 102–109.

    Article  Google Scholar 

  42. Li G, Luna C, Qiu J, Epstein DL, Gonzalez P . Alterations in microRNA expression in stress-induced cellular senescence. Mech Ageing Dev 2009; 130: 731–741.

    Article  CAS  Google Scholar 

  43. Latreille M, Hausser J, Stutzer I, Zhang Q, Hastoy B, Gargani S et al. MicroRNA-7a regulates pancreatic beta cell function. J Clin Invest 2014; 124: 2722–2735.

    Article  CAS  Google Scholar 

  44. Xu JF, Yang GH, Pan XH, Zhang SJ, Zhao C, Qiu BS et al. Altered microRNA expression profile in exosomes during osteogenic differentiation of human bone marrow-derived mesenchymal stem cells. PloS One 2014; 9: e114627.

    Article  Google Scholar 

  45. Umezu T, Tadokoro H, Azuma K, Yoshizawa S, Ohyashiki K, Ohyashiki JH . Exosomal miR-135b shed from hypoxic multiple myeloma cells enhances angiogenesis by targeting factor-inhibiting HIF-1. Blood 2014; 124: 3748–3757.

    Article  CAS  Google Scholar 

  46. Hao M, Zang M, Zhao L, Deng S, Xu Y, Qi F et al. Serum high expression of miR-214 and miR-135b as novel predictor for myeloma bone disease development and prognosis. Oncotarget 2016; 7: 19589–600.

    PubMed  PubMed Central  Google Scholar 

  47. Xiao S, Yang Z, Lv R, Zhao J, Wu M, Liao Y et al. miR-135b contributes to the radioresistance by targeting GSK3beta in human glioblastoma multiforme cells. PloS One 2014; 9: e108810.

    Article  Google Scholar 

  48. Pei H, Jin Z, Chen S, Sun X, Yu J, Guo W . MiR-135b promotes proliferation and invasion of osteosarcoma cells via targeting FOXO1. Mol Cell Biochem 2015; 400: 245–252.

    Article  CAS  Google Scholar 

  49. Gillespie JR, Bush JR, Bell GI, Aubrey LA, Dupuis H, Ferron M et al. GSK-3beta function in bone regulates skeletal development, whole-body metabolism, and male life span. Endocrinology 2013; 154: 3702–3718.

    Article  CAS  Google Scholar 

  50. Kamei Y, Mizukami J, Miura S, Suzuki M, Takahashi N, Kawada T et al. A forkhead transcription factor FKHR up-regulates lipoprotein lipase expression in skeletal muscle. FEBS Lett 2003; 536: 232–236.

    Article  CAS  Google Scholar 

  51. Haeusler RA, Hartil K, Vaitheesvaran B, Arrieta-Cruz I, Knight CM, Cook JR et al. Integrated control of hepatic lipogenesis versus glucose production requires FoxO transcription factors. Nat Commun 2014; 5: 5190.

    Article  CAS  Google Scholar 

  52. Zhu H, Leung SW . Identification of microRNA biomarkers in type 2 diabetes: a meta-analysis of controlled profiling studies. Diabetologia 2015; 58: 900–911.

    Article  CAS  Google Scholar 

  53. Karolina DS, Armugam A, Tavintharan S, Wong MT, Lim SC, Sum CF et al. MicroRNA 144 impairs insulin signaling by inhibiting the expression of insulin receptor substrate 1 in type 2 diabetes mellitus. PloS One 2011; 6: e22839.

    Article  CAS  Google Scholar 

  54. Bye A, Rosjo H, Nauman J, Silva GJ, Follestad T, Omland T et al. Circulating microRNAs predict future fatal myocardial infarction in healthy individuals - The HUNT study. J Mol Cell Cardiol 2016; 97: 162–168.

    Article  CAS  Google Scholar 

  55. Mohamed JS, Hajira A, Pardo PS, Boriek AM . MicroRNA-149 inhibits PARP-2 and promotes mitochondrial biogenesis via SIRT-1/PGC-1alpha network in skeletal muscle. Diabetes 2014; 63: 1546–1559.

    Article  CAS  Google Scholar 

  56. Sayed AS, Xia K, Li F, Deng X, Salma U, Li T et al. The diagnostic value of circulating microRNAs for middle-aged (40-60-year-old) coronary artery disease patients. Clinics (Sao Paulo, Brazil) 2015; 70: 257–263.

    Article  Google Scholar 

  57. Ali Sheikh MS, Xia K, Li F, Deng X, Salma U, Deng H et al. Circulating miR-765 and miR-149: potential noninvasive diagnostic biomarkers for geriatric coronary artery disease patients. Biomed Res Int 2015; 2015: 740301.

    Article  Google Scholar 

  58. van Rooij E, Sutherland LB, Thatcher JE, DiMaio JM, Naseem RH, Marshall WS et al. Dysregulation of microRNAs after myocardial infarction reveals a role of miR-29 in cardiac fibrosis. Proc Natl Acad Sci USA 2008; 105: 13027–13032.

    Article  CAS  Google Scholar 

  59. Ma J, Yu S, Wang F, Bai L, Xiao J, Jiang Y et al. MicroRNA transcriptomes relate intermuscular adipose tissue to metabolic risk. Int J Mol Sci 2013; 14: 8611–8624.

    Article  Google Scholar 

  60. Gomes CP, Oliveira-Jr GP, Madrid B, Almeida JA, Franco OL, Pereira RW . Circulating miR-1, miR-133a, and miR-206 levels are increased after a half-marathon run. Biomarkers 2014; 19: 585–589.

    Article  CAS  Google Scholar 

  61. Tang Y, Zhang Y, Chen Y, Xiang Y, Xie Y . Role of the microRNA, miR-206, and its target PIK3C2alpha in endothelial progenitor cell function - potential link with coronary artery disease. FEBS J 2015; 282: 3758–3772.

    Article  CAS  Google Scholar 

  62. Tang Y, Zhang Y, Chen Y, Xiang Y, Xie Y . Role of the microRNA, miR-206, and its target PIK3C2α in endothelial progenitor cell function – potential link with coronary artery disease. FEBS J 2015; 282: 3758–3772 n/a-n/a.

    Article  CAS  Google Scholar 

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Acknowledgements

This study was supported by funding from the NIDDK (R01DK078192, R01DK078192-02S1, BHG), and the University of Pittsburgh Clinical Translational Research Center (M01RR00056) and Obesity and Nutrition Research Center (P30DK46204). We would like to thank for Florida hospital for making the funds available to AAS and BHG to conduct this study.

Author contributions

AAS contributed to the conception and design of the research design, analysis plan, supervision of the analysis, study implementation, data acquisition and interpretation, writing of the manuscript and critical revision and final approval of the manuscript. YONL performed the experiments, conducted the data and statistical analysis, contributed to the data interpretation, writing of the manuscript and critical revision of the manuscript. PMC and BHG contributed to the study design, study implementation, the data interpretation, writing of the manuscript and critical revision and final approval of the manuscript. AAS is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

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Correspondence to B H Goodpaster or A A Seyhan.

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Nunez Lopez, Y., Coen, P., Goodpaster, B. et al. Gastric bypass surgery with exercise alters plasma microRNAs that predict improvements in cardiometabolic risk. Int J Obes 41, 1121–1130 (2017). https://doi.org/10.1038/ijo.2017.84

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