Skip to main content
SpringerLink
Log in

Irisin in elderly people with hypertension, diabetes mellitus type 2, and overweight and obesity

  • Original Article
  • Published:
International Journal of Diabetes in Developing Countries Aims and scope Submit manuscript

Abstract

Objectives

This study aimed to investigate the irisin levels in elderly patients with hypertension, diabetes mellitus type 2, and overweight and obesity, to investigate the possible association between irisin levels and anthropometric and biochemical parameters, and also to assess the irisin levels associated with a risk of hypertension, diabetes mellitus type 2, and overweight and obesity.

Methods

A nested case-control study was conducted, with hypertension, diabetes mellitus type 2, and overweight and obesity being set as the case group; 71 elderly patients from the cohort were enrolled in each case group, and 71 healthy elderly from the cohort were included in the control group. The anthropometric and biochemical parameters were measured in all elderly, and irisin levels were measured using enzyme-linked immunosorbent assay.

Results

The irisin levels were significantly lower in patients with hypertension, diabetes mellitus type 2, and overweight and obesity than in controls (p < 0.001). Irisin levels were negatively correlated with body mass index, systolic blood pressure, diastolic blood pressure, fasting blood glucose, cholesterol, triglyceride, and alanine aminotransferase. Moreover, the model adjusted for body mass index, systolic blood pressure, diastolic blood pressure, and fasting blood glucose showed that increasing irisin levels were associated with a reduced risk of hypertension, diabetes mellitus type 2, and overweight and obesity. Receiver operating characteristic curve analysis showed that the area under the curve was 0.779 for hypertension, 0.976 for diabetes mellitus type 2, and 0.957 for overweight and obesity.

Conclusion

Irisin may thus play a role in blood pressure and blood glucose regulation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. National Health and Family Planning Commission of the People’s Republic of China, The fifth national health services survey analysis report, 2016, www.nhfpc.gov.cn. Acessed 20 Oct 2017

  2. Chen W, Gao R, Liu L, et al. Cardiovascular disease report in China. Chin Circ J. 2017;1(33):1–8.

    CAS  Google Scholar 

  3. Yang F, Qian D, Hu D, et al. Prevalence of cardiovascular disease risk factor clustering in Chinese adults. Clin Trial Regul Sci Cardiol. 2016;3(15)):1–6.

    Google Scholar 

  4. Byeon CH, Kang KY, Kang SH, Bae EJ. Sarcopenia is associated with Framingham risk score in the Korean population: Korean National Health and Nutrition Examination Survey (KNHANES) 2010–2011. J Geriatr Cardiol. 2015;12:366–72.

    PubMed  PubMed Central  Google Scholar 

  5. Zhou J, Liu B, Liang C, Li Y, Song YH. Cytokine signaling in skeletal muscle wasting. Trends Endocrinol Metab. 2016;27:335–47.

    Article  CAS  Google Scholar 

  6. Giudice J, Taylor JM. Muscle as a paracrine and endocrine organ. Curr Opin Pharmacol. 2017;6(34):49–55.

    Article  Google Scholar 

  7. Bostrom P, Wu J, Jedrychowski MP, Korde A, Ye L, Lo JC, et al. A PGC1-alpha-dependent myokine that drives brown-fat-like development of white fat and thermogenesis. Nature. 2012;481:463–8.

    Article  Google Scholar 

  8. Hofmann T, Elbelt U, Stengel A. Irisin as a muscle-derived hormone stimulating thermogenesis–a critical update. Peptides. 2014;54:89–100.

    Article  CAS  Google Scholar 

  9. Zhang H-J, Zhang X-F, et al. Irisin is inversely associated with intrahepatic triglyceride contents in obese adults. J Hepatol. 2013;59(3):557–62.

    Article  CAS  Google Scholar 

  10. Shanaki M, Moradi N, Emangholipour S, et al. Lower circulating irisin is associated with nonalcoholic fatty liver disease and type 2 diabetes. Diabetes Metab Syndr Clin Res Rev. 2017;11:467–72.

    Article  Google Scholar 

  11. Roca-Rlvadai A, Castelao C, Senn LL, et al. FNDC5/irisin is not only a myokine but also an adipokine. PLoS One. 2013;8(4):e60563.

    Article  Google Scholar 

  12. Celik HT, Akkaya N, Erdamar H, et al. The effects of valsartan and amlodipine on the levels of Irisin, Adropin, and Perilipin. Clin Lab. 2015;61(12):1889–95.

    CAS  PubMed  Google Scholar 

  13. Fu J, Han Y, Wang J, et al. Irisin lowers blood pressure by improvement of endothelial dysfunction via AMPK-Akt-eNOS-NO pathway is the spontaneously hypertensive rat. Am Heart Assoc. 2016;5(11):e003433.

    Google Scholar 

  14. Jang HB, Kim H-J, Kang JH, Park SI, Park KH, Lee H-J. Association of circulating irisin levels with metabolic and metabolite profiles of Korean adolescents. Metab Clin Exp. 2017;73:100–8.

    Article  CAS  Google Scholar 

  15. Catli G, Kume T, Hu T, et al. Relation of serum irisin level with metabolic and anthropometric parameters in obese children. J Diabetes Complicat. 2016;30(8):1560–5.

    Article  Google Scholar 

  16. Palacios-Gonzalez B, Vadillo-Ortege F, Pob-Oteyza E, et al. Irisin levels before and after physical activity among school-age children with different BMI: a direct relation with leptin. Obesity (Silver Spring). 2015;23(4):729–32.

    Article  CAS  Google Scholar 

  17. Zhang Y, Sun Y, Ding S-Z. The novel myokine-irisin. Chin J Biochem Mol Biol. 2017;33(5):429–35.

    CAS  Google Scholar 

  18. Polyzos SA, Kountouras J, Anastasilakis AD, Geladari EV, Mantzoros CS. Irisin in patients with nonalcoholic fatty liver disease. Metabolism. 2014;63(2):207–17.

    Article  CAS  Google Scholar 

  19. Rizk FH, Elshweikh SA, Abd EI-Naby AY. Irisin levels in relation to metabolic and liver functions in Egyptian patients with metabolic syndrome. Can J Physiol Pharmacol. 2016;94(4):359–62.

    Article  CAS  Google Scholar 

Download references

Acknowledgments

We are grateful to all the study subjects for their participants.

Funding

This work was supported by the Fujian Science and Technology Project Induction Project (2018D0009) and the undergraduate program of basic innovation research fund of Xiamen University (2017X0050, 2017Y0077).

Author information

Author notes

  1. Xiaorong Guo, Xianfa Xuan, Bin Zhao, Yuxin Wang and Benhua Zhao contributed equally to this work.

Authors and Affiliations

  1. State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, 4221-117 South Xiang’an Road, Xiang’an District, Xiamen, Fujian Province, People’s Republic of China

    Xiaorong Guo, Yanhua Su, Xiaoshan Yu, Qijun Cheng, Zeyu Zhao & Benhua Zhao

  2. Department of Nephrology, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, Fujian, People’s Republic of China

    Xianfa Xuan & Yuxin Wang

  3. Laboratory Department, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Xiang’an Hospital of Xiamen University, Xiamen, Fujian, People’s Republic of China

    Bin Zhao

  4. Department of Physical Examination, Xiamen Lianhua Hospital, Xiamen, Fujian, People’s Republic of China

    Yehong Wang

  5. Department of Obstetrics and Gynecology, Xiamen Lianhua Hospital, Xiamen, Fujian, People’s Republic of China

    Shaoying Zhong

Authors
  1. Xiaorong Guo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xianfa Xuan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Bin Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yehong Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Shaoying Zhong
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Yanhua Su
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Xiaoshan Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Qijun Cheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Zeyu Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Yuxin Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Benhua Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Yuxin Wang or Benhua Zhao.

Ethics declarations

The study were approved by the ethics committee of School of Public health, Xiamen University. All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2000.

Competing interests

The authors declare that they have no conflict of interest.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Guo, X., Xuan, X., Zhao, B. et al. Irisin in elderly people with hypertension, diabetes mellitus type 2, and overweight and obesity. Int J Diabetes Dev Ctries 40, 196–202 (2020). https://doi.org/10.1007/s13410-019-00772-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13410-019-00772-9

Keywords

Search

Navigation