Electroacupuncture Mimics Exercise-Induced Changes in Skeletal Muscle Gene Expression in Women With Polycystic Ovary Syndrome

Anna Benrick, Nicolas J Pillon, Emma Nilsson, Eva Lindgren, Anna Krook, Charlotte Ling, Elisabet Stener-Victorin, Anna Benrick, Nicolas J Pillon, Emma Nilsson, Eva Lindgren, Anna Krook, Charlotte Ling, Elisabet Stener-Victorin

Abstract

Context: Autonomic nervous system activation mediates the increase in whole-body glucose uptake in response to electroacupuncture but the mechanisms are largely unknown.

Objective: To identify the molecular mechanisms underlying electroacupuncture-induced glucose uptake in skeletal muscle in insulin-resistant overweight/obese women with and without polycystic ovary syndrome (PCOS).

Design/participants: In a case-control study, skeletal muscle biopsies were collected from 15 women with PCOS and 14 controls before and after electroacupuncture. Gene expression and methylation was analyzed using Illumina BeadChips arrays.

Results: A single bout of electroacupuncture restores metabolic and transcriptional alterations and induces epigenetic changes in skeletal muscle. Transcriptomic analysis revealed 180 unique genes (q < 0.05) whose expression was changed by electroacupuncture, with 95% of the changes towards a healthier phenotype. We identified DNA methylation changes at 304 unique sites (q < 0.20), and these changes correlated with altered expression of 101 genes (P < 0.05). Among the 50 most upregulated genes in response to electroacupuncture, 38% were also upregulated in response to exercise. We identified a subset of genes that were selectively altered by electroacupuncture in women with PCOS. For example, MSX1 and SRNX1 were decreased in muscle tissue of women with PCOS and were increased by electroacupuncture and exercise. siRNA-mediated silencing of these 2 genes in cultured myotubes decreased glycogen synthesis, supporting a role for these genes in glucose homeostasis.

Conclusion: Our findings provide evidence that electroacupuncture normalizes gene expression in skeletal muscle in a manner similar to acute exercise. Electroacupuncture might therefore be a useful way of assisting those who have difficulties performing exercise.

Trial registration: ClinicalTrials.gov NCT01457209.

Keywords: PCOS; epigenetics; transcriptomics.

© Endocrine Society 2020.

Figures

Figure 1.
Figure 1.
Electroacupuncture induces similar gene expression response in human and rat skeletal muscle. (a) Overview of the human study design and procedures: single bout of electroacupuncture in women with and without PCOS. (b) The 6 genes with the largest increase in mRNA expression and the 5 selected genes involved in muscle function and metabolism in skeletal muscle in response to a single bout of electroacupuncture (EA) in 15 women with PCOS, based on linear regression analyses (q < 0.05); data presented as mean ± SD. All differentially expressed genes identified by genome-wide arrays are presented in Supplementary Table S2 (30). (c) Skeletal muscle (EDL) gene expression in rat after a single bout of electroacupuncture (n = 9) and nonstimulated controls (n = 5); data presented as mean ± SEM of fold change (fc) and analyzed with Mann-Whitney U test; ##P < 0.01, ###P < 0.001.
Figure 2.
Figure 2.
More than 50% of the unique transcripts with a change in expression in response to electroacupuncture had one or several CpG sites annotated to the gene with a change in DNA methylation. CpG sites (P < 0.05) with a change in DNA methylation annotated to genes with altered expression (q < 0.05). Values are change before vs after electroacupuncture presented as % points for CpG site methylation and % change in gene expression presented next to each gene name. All altered CpG methylation sites of genes with changes in mRNA expression in response to electroacupuncture were calculated based on linear regression analyses and are presented in Supplementary Table S4 (30).
Figure 3.
Figure 3.
Transcription factors could be direct regulators of gene sets altered in women with PCOS or in response to electroacupuncture or exercise. (a) Motif enrichment analysis of the top 100 genes with the largest fold increase in each condition, and Supplementary Table S6 (30). Fold change (Fc) of transcription factor gene expression in response to (b) electroacupuncture, (c) exercise, and (d) PCOS (q < 0.05) based on linear regression analyses.
Figure 4.
Figure 4.
One bout of electroacupuncture or exercise shows similarities in gene expression changes and signaling pathways. Comparison of genes and pathways responding to electroacupuncture, exercise and PCOS. (a) Number of genes significantly modified by electroacupuncture (q < 0.05), exercise (q < 0.05), and PCOS (P < 0.05) were overlapped in a Venn diagram. (b) Correlation of fold-changes of genes significantly modified by electroacupuncture (q < 0.05) with genes changed in women with PCOS. Spearman r = -0.79. (c) Correlation of fold-changes of genes significantly modified by exercise (meta-analysis (37), q < 0.05) with genes modified by electroacupuncture in the present study. Spearman r = 0.59. (d) Overrepresentation analysis using gene ontology on genes significantly modified by electroacupuncture (q < 0.05), exercise (q < 0.05) or PCOS (P < 0.05).
Figure 5.
Figure 5.
Many genes regulated in response to electroacupuncture changed toward a healthier phenotype. Genes differentially expressed in muscle from PCOS vs controls (controls are set to 1) before electroacupuncture (EA)(*P < 0.05), and genes changing after a single bout of acupuncture (#q < 0.05). Data presented as fold change mean ± SD and analyzed with Student t test. Overlap between all differentially expressed genes are presented in Supplementary Table S7 (30).
Figure 6.
Figure 6.
Twenty-five percent of validated genes were upregulated in response to electrical stimulation in women with and without PCOS, and in myotubes following EPS. (a-d) Effect of electrical stimulation on genes with the largest changes in mRNA expression in PCOS, controls and myotubes (targeted approach); CCL2, GADD45B, SLC2A3, LDLR. (e-i) Genes regulated in opposite directions in response to electrical stimulation in PCOS (n = 15) and controls (n = 14); PRINS, AKAP13, HOMOX1, MSX1, SRNX1. *P < 0.05, ***P < 0.001 vs control before EA, #P < 0.05, ##P < 0.01, ###P < 0.001 vs PCOS before EA, ∧P < 0.05, ∧∧P < 0.01, ∧∧∧P < 0.001 vs unstimulated myotubes, data were analyzed by Student t test and presented as mean ± SEM. All investigated genes in this targeted approach are presented in Supplementary Table S1 (30). (j) Correlation of fold-changes of genes significantly modified in myotubes following EPS (P < 0.05) with genes changed in women by electroacupuncture. Spearman r = 0.46, P < 0.001. (k-n) Insulin stimulated glycogen incorporation in myotubes from healthy controls after gene silencing using siRNA for AKAP13, HMOX1, MSX1, SRXN1 (n = 5-7). Data were analyzed by two-way ANOVA and presented as individual values, *P < 0.05 vs scramble control at baseline, and after 10 nM and 100 nM insulin stimulation.

References

    1. Azziz R. Introduction: determinants of polycystic ovary syndrome. Fertil Steril. 2016;106(1):4-5.
    1. Dunaif A. Perspectives in polycystic ovary syndrome: from hair to eternity. J Clin Endocrinol Metab. 2016;101(3):759-768.
    1. Waterland RA. Is epigenetics an important link between early life events and adult disease? Horm Res. 2009;71 Suppl 1:13-16.
    1. Xu N, Azziz R, Goodarzi MO. Epigenetics in polycystic ovary syndrome: a pilot study of global DNA methylation. Fertil Steril. 2010;94(2):781-3.e1.
    1. Shi Y, Zhao H, Shi Y, et al. . Genome-wide association study identifies eight new risk loci for polycystic ovary syndrome. Nat Genet. 2012;44(9):1020-1025.
    1. Barres R, Zierath JR. DNA methylation in metabolic disorders. Am J Clin Nutr. 2011;93(4):897S-8900.
    1. Ling C, Rönn T. Epigenetics in human obesity and type 2 diabetes. Cell Metab. 2019;29(5):1028-1044.
    1. Filippou P, Homburg R. Is foetal hyperexposure to androgens a cause of PCOS? Hum Reprod Update. 2017;23(4):421-432.
    1. Abbott DH, Barnett DK, Bruns CM, Dumesic DA. Androgen excess fetal programming of female reproduction: a developmental aetiology for polycystic ovary syndrome? Hum Reprod Update. 2005;11(4):357-374.
    1. Poretsky L, Cataldo NA, Rosenwaks Z, Giudice LC. The insulin-related ovarian regulatory system in health and disease. Endocr Rev. 1999;20(4):535-582.
    1. Orio F, Muscogiuri G, Nese C, et al. . Obesity, type 2 diabetes mellitus and cardiovascular disease risk: an uptodate in the management of polycystic ovary syndrome. Eur J Obstet Gynecol Reprod Biol. 2016;207:214-219.
    1. Skov V, Glintborg D, Knudsen S, et al. . Reduced expression of nuclear-encoded genes involved in mitochondrial oxidative metabolism in skeletal muscle of insulin-resistant women with polycystic ovary syndrome. Diabetes. 2007;56(9):2349-2355.
    1. Kokosar M, Benrick A, Perfilyev A, et al. . Epigenetic and transcriptional alterations in human adipose tissue of polycystic ovary syndrome. Sci Rep. 2016;6:22883.
    1. Nilsson E, Benrick A, Kokosar M, et al. . Transcriptional and epigenetic changes influencing skeletal muscle metabolism in women with polycystic ovary syndrome. J Clin Endocrinol Metab. 2018;103(12):4465-4477.
    1. Teede HJ, Misso ML, Costello MF, et al. ; International PCOS Network Recommendations from the international evidence-based guideline for the assessment and management of polycystic ovary syndrome. Clin Endocrinol (Oxf). 2018;89(3):251-268.
    1. Barrès R, Yan J, Egan B, et al. . Acute exercise remodels promoter methylation in human skeletal muscle. Cell Metab. 2012;15(3):405-411.
    1. Fabre O, Ingerslev LR, Garde C, Donkin I, Simar D, Barrès R. Exercise training alters the genomic response to acute exercise in human adipose tissue. Epigenomics. 2018;10(8):1033-1050.
    1. Kagitani F, Uchida S, Hotta H. Afferent nerve fibers and acupuncture. Auton Neurosci. 2010;157(1-2):2-8.
    1. Stener-Victorin E. Hypothetical physiological and molecular basis for the effect of acupuncture in the treatment of polycystic ovary syndrome. Mol Cell Endocrinol. 2013;373(1-2):83-90.
    1. Goodyear LJ, Kahn BB. Exercise, glucose transport, and insulin sensitivity. Annu Rev Med. 1998;49:235-261.
    1. Katayama K, Saito M. Muscle sympathetic nerve activity during exercise. J Physiol Sci. 2019;69(4):589-598.
    1. Benrick A, Kokosar M, Hu M, et al. . Autonomic nervous system activation mediates the increase in whole-body glucose uptake in response to electroacupuncture. Faseb J. 2017;31(8):3288-3297.
    1. Kokosar M, Benrick A, Perfilyev A, et al. . A single bout of electroacupuncture remodels epigenetic and transcriptional changes in adipose tissue in polycystic ovary syndrome. Sci Rep. 2018;8(1):1878.
    1. MacPherson H, Altman DG, Hammerschlag R, et al. ; STRICTA Revision Group Revised standards for reporting interventions in clinical trials of acupuncture (STRICTA): extending the CONSORT statement. J Altern Complement Med. 2010;16(10):ST1-S14.
    1. Schulz KF, Altman DG, Moher D; CONSORT Group CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials. J Clin Epidemiol. 2010;63(8):834-840.
    1. Stener-Victorin E, Maliqueo M, Soligo M, et al. . Changes in HbA1c and circulating and adipose tissue androgen levels in overweight-obese women with polycystic ovary syndrome in response to electroacupuncture. Obes Sci Pract. 2016;2(4):426-435.
    1. Nilsson ME, Vandenput L, Tivesten Å, et al. . Measurement of a comprehensive sex steroid profile in rodent serum by high-sensitive gas chromatography-tandem mass spectrometry. Endocrinology. 2015;156(7):2492-2502.
    1. Marcondes FK, Bianchi FJ, Tanno AP. Determination of the estrous cycle phases of rats: some helpful considerations. Braz J Biol. 2002;62(4A):609-614.
    1. Al-Khalili L, Chibalin AV, Yu M, et al. . MEF2 activation in differentiated primary human skeletal muscle cultures requires coordinated involvement of parallel pathways. Am J Physiol Cell Physiol. 2004;286(6):C1410-C1416.
    1. Benrick A. Supplemental materials: Electroacupuncture mimics exercise-induced changes in skeletal muscle gene expression in polycystic ovary syndrome women. doi:10.5061/dryad.70rxwdbtd.
    1. Al-Khalili L, Chibalin AV, Kannisto K, et al. . Insulin action in cultured human skeletal muscle cells during differentiation: assessment of cell surface GLUT4 and GLUT1 content. Cell Mol Life Sci. 2003;60(5):991-998.
    1. Bolstad BM, Irizarry RA, Astrand M, Speed TP. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics. 2003;19(2):185-193.
    1. Andersen CL, Jensen JL, Ørntoft TF. Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets. Cancer Res. 2004;64(15):5245-5250.
    1. Bibikova M, Barnes B, Tsan C, et al. . High density DNA methylation array with single CpG site resolution. Genomics. 2011;98(4):288-295.
    1. Rönn T, Volkov P, Gillberg L, et al. . Impact of age, BMI and HbA1c levels on the genome-wide DNA methylation and mRNA expression patterns in human adipose tissue and identification of epigenetic biomarkers in blood. Hum Mol Genet. 2015;24(13):3792-3813.
    1. Johnson WE, Li C, Rabinovic A. Adjusting batch effects in microarray expression data using empirical Bayes methods. Biostatistics. 2007;8(1):118-127.
    1. Pillon NJ, Gabriel BM, Dollet L, et al. . Transcriptomic profiling of skeletal muscle adaptations to exercise and inactivity. Nat Commun. 2020;11(1):470.
    1. Subramanian A, Tamayo P, Mootha VK, et al. . Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005;102(43):15545-15550.
    1. Yu G, Wang LG, Han Y, He QY. clusterProfiler: an R package for comparing biological themes among gene clusters. Omics. 2012;16(5):284-287.
    1. McLean CS, Mielke C, Cordova JM, et al. . Gene and MicroRNA expression responses to exercise; relationship with insulin sensitivity. Plos One. 2015;10(5):e0127089.
    1. Romero SA, Hocker AD, Mangum JE, et al. . Evidence of a broad histamine footprint on the human exercise transcriptome. J Physiol. 2016;594(17):5009-5023.
    1. Sabaratnam R, Pedersen AJ, Eskildsen TV, Kristensen JM, Wojtaszewski JFP, Højlund K. Exercise induction of key transcriptional regulators of metabolic adaptation in muscle is preserved in type 2 diabetes. J Clin Endocrinol Metab. 2019;104(10):4909-4920.
    1. Nilsson E, Benrick A, Kokosar M, et al. . Transcriptional and epigenetic changes influencing skeletal muscle metabolism in women with polycystic ovary syndrome. J Clin Endocrinol Metab. 2018;103(12):4465-4477.
    1. Raue U, Trappe TA, Estrem ST, et al. . Transcriptome signature of resistance exercise adaptations: mixed muscle and fiber type specific profiles in young and old adults. J Appl Physiol (1985). 2012;112(10):1625-1636.
    1. Barrès R, Yan J, Egan B, et al. . Acute exercise remodels promoter methylation in human skeletal muscle. Cell Metab. 2012;15(3):405-411.
    1. Nitert MD, Dayeh T, Volkov P, et al. . Impact of an exercise intervention on DNA methylation in skeletal muscle from first-degree relatives of patients with type 2 diabetes. Diabetes. 2012;61(12):3322-3332.
    1. Brettingham-Moore KH, Taberlay PC, Holloway AF. Interplay between transcription factors and the epigenome: insight from the role of RUNX1 in Leukemia. Front Immunol. 2015;6:499.
    1. Kawasaki E, Hokari F, Sasaki M, Sakai A, Koshinaka K, Kawanaka K. Role of local muscle contractile activity in the exercise-induced increase in NR4A receptor mRNA expression. J Appl Physiol (1985). 2009;106(6):1826-1831.
    1. Muthiah A, Angulo MS, Walker NN, Keller SR, Lee JK. Biologically anchored knowledge expansion approach uncovers KLF4 as a novel insulin signaling regulator. Plos One. 2018;13(9):e0204100.
    1. Benrick A, Maliqueo M, Johansson J, et al. . Enhanced insulin sensitivity and acute regulation of metabolic genes and signaling pathways after a single electrical or manual acupuncture session in female insulin-resistant rats. Acta Diabetol. 2014;51(6): 963-972.
    1. Pearen MA, Eriksson NA, Fitzsimmons RL, et al. . The nuclear receptor, Nor-1, markedly increases type II oxidative muscle fibers and resistance to fatigue. Mol Endocrinol. 2012;26(3):372-384.
    1. Petrie M, Suneja M, Shields RK. Low-frequency stimulation regulates metabolic gene expression in paralyzed muscle. J Appl Physiol (1985). 2015;118(6):723-731.
    1. Catalogna M, Doenyas-Barak K, Sagi R, et al. . Effect of peripheral electrical stimulation (PES) on nocturnal blood glucose in type 2 diabetes: a randomized crossover pilot study. PLoS One. 2016;11(12):e0168805.
    1. Raschke S, Eckel J. Adipo-myokines: two sides of the same coin-mediators of inflammation and mediators of exercise. Mediators Inflamm. 2013;2013:320724.
    1. Nieman DC, Henson DA, Davis JM, et al. . Quercetin’s influence on exercise-induced changes in plasma cytokines and muscle and leukocyte cytokine mRNA. J Appl Physiol (1985). 2007;103(5):1728-1735.
    1. Lightfoot AP, Cooper RG. The role of myokines in muscle health and disease. Curr Opin Rheumatol. 2016;28(6):661-666.
    1. Dantas WS, Neves WD, Gil S, et al. . Exercise-induced anti-inflammatory effects in overweight/obese women with polycystic ovary syndrome. Cytokine. 2019;120:66-70.
    1. Gaster M, Handberg A, Beck-Nielsen H, Schroder HD. Glucose transporter expression in human skeletal muscle fibers. Am J Physiol Endocrinol Metab. 2000;279(3):E529-E538.
    1. Gaster M, Beck-Nielsen H, Schrøder HD. Regenerating human muscle fibres express GLUT3 protein. Pflugers Arch. 2002;445(1):105-114.
    1. Bolnick AD, Bolnick JM, Kilburn BA, et al. ; NICHD National Cooperative Reproductive Medicine Network Reduced homeobox protein MSX1 in human endometrial tissue is linked to infertility. Hum Reprod. 2016;31(9):2042-2050.
    1. Sun X, Park CB, Deng W, Potter SS, Dey SK. Uterine inactivation of muscle segment homeobox (Msx) genes alters epithelial cell junction proteins during embryo implantation. Faseb J. 2016;30(4):1425-1435.
    1. Escobar J, Cubells E, Enomoto M, et al. . Prolonging in utero-like oxygenation after birth diminishes oxidative stress in the lung and brain of mice pups. Redox Biol. 2013;1:297-303.
    1. Stephens NA, Sparks LM. Resistance to the beneficial effects of exercise in type 2 diabetes: are some individuals programmed to fail? J Clin Endocrinol Metab. 2015;100(1):43-52.
    1. Malin SK, Liu Z, Barrett EJ, Weltman A. Exercise resistance across the prediabetes phenotypes: Impact on insulin sensitivity and substrate metabolism. Rev Endocr Metab Disord. 2016;17(1):81-90.
    1. Sylow L, Kleinert M, Richter EA, Jensen TE. Exercise-stimulated glucose uptake - regulation and implications for glycaemic control. Nat Rev Endocrinol. 2017;13(3):133-148.
    1. Park S, Turner KD, Zheng D, et al. . Electrical pulse stimulation induces differential responses in insulin action in myotubes from severely obese individuals. J Physiol. 2019;597(2):449-466.
    1. Johansson J, Feng Y, Shao R, Lönn M, Billig H, Stener-Victorin E. Intense electroacupuncture normalizes insulin sensitivity, increases muscle GLUT4 content, and improves lipid profile in a rat model of polycystic ovary syndrome. Am J Physiol Endocrinol Metab. 2010;299(4):E551-E559.

Source: PubMed

3
Předplatit