Skip to main content
Log in

Circulating C3 and glucose metabolism abnormalities in patients with OSAHS

  • Sleep Breathing Physiology and Disorders • Original Article
  • Published:
Sleep and Breathing Aims and scope Submit manuscript

Abstract

Purpose

Obstructive sleep apnea hypopnea syndrome (OSAHS) is a common breathing disorder during sleep characterized by multiple disease roots, including disorders of complement and glycometabolism. And the main purpose of the present study is to make clear the effect of complement C3 on glucose metabolism abnormalities in patients with OSAHS.

Methods

This was a cross-sectional study. Two hundred six patients, mean age 44.58 ± 11.84 years and 26 female patients (26/206), had been suspected with OSAHS and underwent overnight polysomnography. The assessment of complement levels included complement 3 (C3), complement 4 (C4), and serum total complement (TC). The measured indicators of glucose metabolism were fasting blood glucose (FPG), fasting insulin (FINS), and 75 g oral glucose tolerance test-derived glucose. A multivariate linear regression was used to determine relevant factors with 2-h postprandial blood glucose (2hPG) and C3.

Results

The patients were classified according to apnea-hypopnea index (AHI) into four groups: simple snore (n = 21), mild OSAHS (n = 43), moderate OSAHS (n = 35), and severe OSAHS (n = 107). The level of C3 in the severe OSAHS was higher than other groups (simple snore: 1.16 ± 0.18 g/L VS 1.00 ± 0.18 g/L, p < 0.001; mild OSAHS: 1.16 ± 0.18 g/L VS 1.04 ± 0.17 g/L, p < 0.001; moderate OSAHS: 1.16 ± 0.18 g/L VS 1.06 ± 0.14 g/L, p = 0.003) and no-severe OSAHS group (1.16 ± 0.18 g/L VS 1.04 ± 0.16 g/L, p < 0.001). And C3 was associated with AHI, average pulse oxygen saturation (A-spo2), homeostasis model assessment-insulin resistance (HOMA-IR), 2hPG, age, sleep stage (I + II)/TST, and sleep stage (III)/TST, respectively. HOMA-IR was correlated to AHI after adjustment with age and BMI. OSAHS was an independent risk of C3 regardless of obesity and sleep parameters (p = 0.002). After adjustment with neck circumference (NC), BMI, AHI, sleep stage (I + II)/TST, and sleep stage (III)/TST,C3 level was associated with 2hPG (p < 0.001).

Conclusions

A high level in C3 is correlated with the occurrence of OSAHS and C3 alterations in OSAHS patients seem to contribute to disorders of glucose metabolism. And targeting OSAHS to improve glucose metabolism and immune function could be useful.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Young T, Palta M, Dempsey J et al (1993) The occurrence of sleep-disordered breathing among middle-aged adults. N Engl J Med 328:1230–1235

    Article  CAS  PubMed  Google Scholar 

  2. Young T, Peppard PE, Gottlieb DJ (2002) Epidemiology of obstructive sleep apnea: a population health perspective. Am J Respir Crit Care Med 165:1217–1239

    Article  PubMed  Google Scholar 

  3. Senaratna CV, Perret JL, Lowe CJ (2016) Prevalence of obstructive sleep apnea in the general population: a systematic review. Sleep Med Rev 34:70–81

    Article  PubMed  Google Scholar 

  4. Damanti S, Bourron O, Doulazmi M et al (2017) Relationship between sleep parameters, insulin resistance and age-adjusted insulin like growth factor-1 score in non diabetic older patients. PLOS ONE 12:e0174876

    Article  PubMed  PubMed Central  Google Scholar 

  5. Murphy AM, Thomas A, Crinion SJ (2017) Intermittent hypoxia in obstructive sleep apnoea mediates insulin resistance through adipose tissue inflammation. Eur Respir J 49

  6. Fleming WY, Ferouz-Colborn SMK (2016) Blood biomarkers of endocrine, immune, inflammatory, and metabolic systems in obstructive sleep apnea. Clin Biochem 49:854–861

    Article  CAS  PubMed  Google Scholar 

  7. Kent BD, McNicholas WT, Ryan S (2015) Insulin resistance, glucose intolerance and diabetes mellitus in obstructive sleep apnoea. J Thorac Dis 7:1343–1357

    PubMed  PubMed Central  Google Scholar 

  8. Araujo LS, Fernandes JF, Klein MR et al (2016) Obstructive sleep apnea is independently associated with inflammation and insulin resistance, but not with blood pressure, plasma catecholamines, and endothelial function in obese subjects. Nutrition 31:1351–1357

    Article  Google Scholar 

  9. Appleton SL, Vakulin A, Mcevoy RD et al (2015) Nocturnal hypoxemia and severe obstructive sleep apnea are associated with incident type 2 diabetes in a population cohort of men. J Clin Sleep Med 11:609–614

    PubMed  PubMed Central  Google Scholar 

  10. Weinstock TG, Wang X, Rueschman M et al (2012) A controlled trial of CPAP therapy on metabolic control in individuals with impaired glucose tolerance and sleep apnea. Sleep 35:617–625

    Article  PubMed  PubMed Central  Google Scholar 

  11. van Oostrom AJ, Alipour A, Plokker TW et al (2007) The metabolic syndrome in relation to complement component 3 and postprandial lipemia in patients from an outpatient lipid clinic and healthy volunteers. Atherosclerosis 190:167–173

    Article  PubMed  Google Scholar 

  12. Domagała-Kulawik J, Osińska I, Piechuta A et al (2015) T, B, and NKT cells in systemic inflammation in obstructive sleep apnoea. Mediat Inflamm 2015:161579

    Google Scholar 

  13. Iber C, Ancoli-Israel S, Chesson A, Quan SF, for the American Academy of Sleep Medicine (2007) The AASM manual for the scoring of sleep and associated events. Rules, terminology and technical specifications. American Academy of Sleep Medicine, Westchester IL

    Google Scholar 

  14. Matthews DR, Hosker JP, Rudenski AS et al (1985) Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28:412–419

    Article  CAS  PubMed  Google Scholar 

  15. Tirado R, Masdeu MJ, Vigil L et al (2017) Relationship between sleep parameters, insulin resistance and age-adjusted insulin like growth factor-1 score in non diabetic older patients. PLoS One 12:e0174876

    Article  Google Scholar 

  16. Emin M, Wang G, Castagna F et al (2016) Increased internalization of complement inhibitor CD59 may contribute to endothelial inflammation in obstructive sleep apnea. Sci Transl Med 8:320ra1

    Article  PubMed  PubMed Central  Google Scholar 

  17. Gaoatswe G, Kent BD, Corrigan MA et al (2015) Invariant natural killer T cell deficiency and functional impairment in sleep apnea: links to cancer comorbidity. Sleep 38:1629–1634

    Article  PubMed  PubMed Central  Google Scholar 

  18. Su MS, Xu L, Xu K et al (2017) Association of T lymphocyte immune imbalance and IL-10 gene polymorphism with the risk of obstructive sleep apnea in children with obesity. Sleep Breath. https://doi.org/10.1007/s11325-017-1504-7

  19. Muscari A, Antonelli S, Bianchi G, Cavrini G et al (2007) Serum C3 is a stronger inflammatory marker of insulin resistance than C-reactive protein, leukocyte count, and erythrocyte sedimentation rate: comparison study in an elderly population. Diabetes Care 30:2362–2368

    Article  CAS  PubMed  Google Scholar 

  20. Chopra S, Rathore A, Younas H,et al. (2017)Obstructive sleep apnea dynamically increases nocturnal plasma free fatty acids, glucose, and cortisol during sleep. J Clin Endocrinol Metab

  21. Bozic J, Galic T, Supe-Domic D et al (2016) Morning cortisol levels and glucose metabolism parameters in moderate and severe obstructive sleep apnea patients. Endocrine 53:730–739

    Article  CAS  PubMed  Google Scholar 

  22. Engström G, Hedblad B, Eriksson KF et al (2005) Complement C3 is a risk factor for the development of diabetes: a population-based cohort study. Diabetes 54:570–575

    Article  PubMed  Google Scholar 

  23. Saleh J, Summers LK, Cianflone K et al (1998) Coordinated release of acylation stimulating protein (ASP) and triacylglycerol clearance by human adipose tissue in vivo in the postprandial period. J Lipid Res 39:884–891

    CAS  PubMed  Google Scholar 

  24. Tirado R, Masdeu MJ, Vigil L et al (2017) Impact of bariatric surgery on heme oxygenase-1, inflammation, and insulin resistance in morbid obesity with obstructive sleep apnea. Obes Surg. https://doi.org/10.1007/s11695-017-2635-4

  25. Celik S, Tangi F, Kilicaslan E et al (2013) Increased acylation stimulating protein levels in young obese males is correlated with systemic markers of oxidative stress. Obesity (Silver Spring) 21:1613–1617

    Article  CAS  Google Scholar 

  26. Yesilova Z, Ozata M, Oktenli C, Bagci S et al (2005) Increased acylation stimulating protein concentrations in nonalcoholic fatty liver disease are associated with insulin resistance. Am J Gastroenterol 100:842–849

    Article  CAS  PubMed  Google Scholar 

  27. Zou X, Huang W, Lu F et al (2017) The effects of Jiao-Tai-Wan on sleep, inflammation and insulin resistance in obesity-resistant rats with chronic partial sleep deprivation. BMC Complement Altern Med 17:165

    Article  PubMed  PubMed Central  Google Scholar 

  28. Lecube A, Romero O, Sampol G et al (2017) Sleep biosignature of type 2 diabetes: a case-control study. Diabet Med 34:79–85

    Article  CAS  PubMed  Google Scholar 

  29. Lasselin J, Alvarez-Salas E, Grigoleit JS (2016) Well-being and immune response: a multi-system perspective. Curr Opin Pharmacol 29:34–41

    Article  CAS  PubMed  Google Scholar 

  30. Suzuki H, Savitz J, Kent Teague T, et al. (2017) Altered populations of natural killer cells, cytotoxic T lymphocytes, and regulatory T cells in major depressive disorder: association with sleep disturbance. Brain Behav Immun

Download references

Funding

No funding was received for this research.

Author information

Authors and Affiliations

Authors

Contributions

Dr. Li contributed to data analysis, exchange of ideas, and review of the manuscript for important content. Ms. Lu contributed to data collection, data analysis and interpretation, and drafting and review of the manuscript for important content. Dr. Wang X and Dr. Xu contributed to data collection and interpretation and review and drafting of manuscript. Dr. Feng contributed to data analysis and review of the manuscript. Mr. Wang YF and Mr. Cai contributed to data collection and analysis. Dr. Cao contributed to exchange of ideas and suggestions.

Corresponding author

Correspondence to Taoping Li.

Ethics declarations

Ethical approval

All procedures performed in the studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

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

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

The current work was performed at Southern Hospital, Southern Medical University.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lu, X., Wang, X., Xu, T. et al. Circulating C3 and glucose metabolism abnormalities in patients with OSAHS. Sleep Breath 22, 345–351 (2018). https://doi.org/10.1007/s11325-017-1564-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11325-017-1564-8

Keywords

Navigation