Skip to main content

Three Levels of Prediction, Prevention and Individualised Treatment Algorithms to Advance Diabetes Care: Integrative Approach

  • Chapter
  • First Online:
New Strategies to Advance Pre/Diabetes Care: Integrative Approach by PPPM

Part of the book series: Advances in Predictive, Preventive and Personalised Medicine ((APPPM,volume 3))

Abstract

Currently every 10 sec one patient dies of diabetes-related pathologies – the epidemic scale of Diabetes mellitus (DM) is still underestimated in the healthcare sector. Generally, there are three levels desirable for an optimal (pre)diabetes healthcare:

  • First level: prediction of the familial predisposition, targeted prevention of DM early in childhood;

  • Second level: prediction of early/premature ageing and targeted prevention of DM pre-stages;

  • Third level: prediction of secondary complications in the cohort of DM-patients and creation of treatments tailored to the patient to prevent cardiovascular, neurodegenerative and cancer diseases frequently developed in diabetic patients.

Communication among the related professional groups such as researchers, educators, healthcare providers, policy-makers, politicians, etc. is essential in the overall process of reorganisation of (pre)diabetes healthcare.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Kowluru RA, Chan P-S (2007) Oxidative stress and diabetic retinopathy. Exp Diabetes Res 2007:43603

    PubMed  Google Scholar 

  2. Borch-Johnsen K, Beck-Nielsen H, Christiansen JS, Heickendorff L, Brandslund I, Faber JO, de Fine Olivarius N (2003) Guidelines on diagnosis of type 2 diabetes. Investigation, diagnosis and glucose measurement. Ugeskr Laeger 165:1558–1561

    PubMed  Google Scholar 

  3. Mohan V, Sandeep S, Deepa R, Shah B, Varghese C (2007) Epidemiology of type 2 diabetes: Indian scenario. Indian J Med Res 125:217–230

    PubMed  CAS  Google Scholar 

  4. Chaturvedi N (2007) The burden of diabetes and its complications: trends and implications for intervention. Diabetes Res Clin Pract 76(Suppl 1):S3–S12

    Article  PubMed  Google Scholar 

  5. American Diabetes Association (2008) Economic costs of diabetes in the U.S. in 2007. Diabetes Care 31:596–615

    Article  Google Scholar 

  6. King H, Aubert RE, Herman WH (1998) Global burden of diabetes, 1995–2025: prevalence, numerical estimates, and projections. Diabetes Care 21:1414–1431

    Article  PubMed  CAS  Google Scholar 

  7. Hogan P, Dall T, Nikolov P (2003) Economic costs of diabetes in the US in 2002. Diabetes Care 26:917–932

    Article  PubMed  Google Scholar 

  8. Golubnitschaja O, Yeghiazaryan K (2012) Opinion controversy to chromium picolinate therapy’s safety and efficacy: ignoring ‘anecdotes’ of case reports or recognising individual risks and new guidelines urgency to introduce innovation by predictive diagnostics? EPMA J 3:11

    Google Scholar 

  9. Glaser NS (1997) Non-insulin-dependent diabetes mellitus in childhood and adolescence. Pediatr Clin North Am 44:307–337

    Article  PubMed  CAS  Google Scholar 

  10. Pinhas-Hamiel O, Dolan LM, Daniels SR, Standiford D, Khoury PR, Zeitler P (1996) Increased incidence of non-insulin-dependent diabetes mellitus among adolescents. J Pediatr 128:608–615

    Article  PubMed  CAS  Google Scholar 

  11. Huang TT, Goran MI (2003) Prevention of type 2 diabetes in young people: a theoretical perspective. Pediatr Diabetes 4:38–56

    Article  PubMed  Google Scholar 

  12. Rosenbloom AL, Joe JR, Young RS, Winter WE (1999) Emerging epidemic of type 2 diabetes in youth. Diabetes Care 22:345–354

    Article  PubMed  CAS  Google Scholar 

  13. Golubnitschaja O (2009) Advanced technologies for prediction of secondary complications in diabetes mellitus. In: Golubnitschaja O (ed) Predictive diagnostics and personalized treatment: dream or reality? Nova Science Publishers Inc, New York

    Google Scholar 

  14. Cebioglu M, Golubnitschaja O (2009) New tendencies in the epidemiology of diabetes mellitus. In: Golubnitschaja O (ed) Predictive diagnostics and personalized treatment: dream or reality. Nova Science Publishers Inc, New York

    Google Scholar 

  15. Cebioglu M, Schild HH, Golubnitschaja O (2009) Diabetes mellitus as a risk factor for cancer: is predictive diagnosis possible? In: Golubnitschaja O (ed) Predictive diagnostics and personalized treatment: dream or reality? Nova Science Publishers Inc, New York

    Google Scholar 

  16. Yeghiazaryan K, Skowasch D, Bauriedel G, Schild HH, Golubnitschaja O (2009) Prediction of degeneration of native and bioprosthetic aortic valves. In: Golubnitschaja O (ed) Predictive diagnostics and personalized treatment: dream or reality. Nova Science Publishers Inc, New York

    Google Scholar 

  17. Costigliola V, Gahan P, Golubnitschaja O (2009) Predictive medicine as the new philosophy in health care. In: Golubnitschaja O (ed) Predictive diagnostics and personalized treatment: dream or reality. Nova Science Publishers Inc, New York

    Google Scholar 

  18. Peeva V, Golubnitschaja O (2009) Birth asphyxia as the most frequent perinatal complication. In: Golubnitschaja O (ed) Predictive diagnostics and personalized treatment: dream or reality. Nova Science Publishers Inc, New York

    Google Scholar 

  19. Yeghiazaryan K, Peeva V, Morelli M, Herrera-Marshitz M, Golubnitschaja O (2009) Potential targets for early diagnosis and neuroprotection in asphyxiated newborns. In: Golubnitschaja O (ed) Predictive diagnostics and personalized treatment: dream or reality. Nova Science Publishers Inc, New York

    Google Scholar 

  20. Nakano T, Ito H (2007) Epidemiology of diabetes mellitus in old age in Japan. Diabetes Res Clin Pract 77(Suppl 1):S76–S81

    Article  PubMed  Google Scholar 

  21. du Prel J-B, Icks A, Grabert M, Holl RW, Giani G, Rosenbauer J (2007) Socioeconomic conditions and type 1 diabetes in childhood in North Rhine-Westphalia, Germany. Diabetologia 50:720–728

    Article  PubMed  Google Scholar 

  22. Płaczkiewicz-Jankowska E, Szybiński Z, Huszno B (2007) Environmental factors in the development of type 1 diabetes – a new insight. Przegl Lek 64:175–179

    PubMed  Google Scholar 

  23. Lesgards J-F, Durand P, Lassarre M, Stocker P, Lesgards G, Lanteaume A, Prost M, Lehucher-­Michel M-P (2002) Assessment of lifestyle effects on the overall antioxidant capacity of healthy subjects. Environ Health Perspect 110:479–486

    Article  PubMed  Google Scholar 

  24. Golubnitschaja O, Fountoulakis M (2007) Gene hunting by substractive hybridization in Down syndrome correlation with proteomics analysis. In: Lajtha A, Youdim MBH, Riederer P, Mandel SA, Battistin L (eds) Handbook of neurochemistry and molecular neurobiology. Springer US, Boston

    Google Scholar 

  25. Niwa Y, Ishimoto K, Kanoh T (1990) Induction of superoxide dismutase in leukocytes by paraquat: correlation with age and possible predictor of longevity. Blood 76:835–841

    PubMed  CAS  Google Scholar 

  26. Golubnitschaja O (2010) Advanced diabetes care: three levels of prediction, prevention & personalized treatment. Curr Diabetes Rev 6:42–51

    Article  PubMed  Google Scholar 

  27. Koehn J, Turhani D, Krapfenbauer K (2009) Potential predictive biomarkers for the dysfunction of ß-cells in type 2 diabetes. Predictive diagnostics and personalized treatment: dream or reality. Nova Science Publishers Inc, New York

    Google Scholar 

  28. Golubnitschaja O (2008) Clinical proteomics in application to predictive diagnostics and personalized treatment of diabetic patients. Curr Proteomics 5:35–44

    Article  CAS  Google Scholar 

  29. Golubnitschaja O, Jaksche A, Moenkemann H, Yeghiazaryan K, Karl SE, Trog D, Schild HH, Löffler KU (2005) Molecular imaging system for possible prediction of active retinopathy in patients with diabetes mellitus. Amino Acids 28:229–237

    Article  PubMed  CAS  Google Scholar 

  30. Cebioglu M, Schild H, Golubnitschaja O (2010) Cancer predisposition in diabetics: risk factors considered for predictive diagnostics and targeted preventive measures. EPMA J 1:130–137

    Article  PubMed  Google Scholar 

  31. Cebioglu M, Schild HH, Golubnitschaja O (2008) Diabetes mellitus as a risk factor for cancer: stress or viral etiology? Infect Disord Drug Targets 8:76–87

    Article  PubMed  CAS  Google Scholar 

  32. Frustaci A, Kajstura J, Chimenti C, Jakoniuk I, Leri A, Maseri A, Nadal-Ginard B, Anversa P (2000) Myocardial cell death in human diabetes. Circ Res 87:1123–1132

    Article  PubMed  CAS  Google Scholar 

  33. Golubnitschaja O (2009) Diabetes mellitus. In: Golubnitschaja O (ed) Predictive diagnostics and personalized treatment: dream or reality? Nova Science Publishers Inc, New York

    Google Scholar 

  34. Mozaffari M, Abdelsayed R, Schaffer S (2009) Diabetic complications: pathogenic mechanisms and prognostic indicators. In: Golubnitschaja O (ed) Predictive diagnostics and personalized treatment: dream or reality? Nova Science Publishers Inc, New York

    Google Scholar 

  35. Schaub S, Wilkins J, Weiler T, Sangster K, Rush D, Nickerson P (2004) Urine protein profiling with surface-enhanced laser-desorption/ionization time-of-flight mass spectrometry. Kidney Int 65:323–332

    Article  PubMed  CAS  Google Scholar 

  36. Mayr M, Mayr U, Chung Y-L, Yin X, Griffiths JR, Xu Q (2004) Vascular proteomics: linking proteomic and metabolomic changes. Proteomics 4:3751–3761

    Article  PubMed  CAS  Google Scholar 

  37. Gahan PB (2008) Circulating nucleic acids in plasma and serum: roles in diagnosis and prognosis in diabetes and cancer. Infect Disord Drug Targets 8:100–108

    Article  PubMed  CAS  Google Scholar 

  38. Gahan PB (2009) Circulating nucleic acids in plasma and serum: roles in diagnosis and prognosis. In: Golubnitschaja O (ed) Predictive diagnostics and personalized treatment: dream or reality. Nova Science Publishers Inc, New York

    Google Scholar 

  39. Golubnitschaja O (2006) Method for early diagnosis of proliferative diabetic retinopathy. Patent: 06115230.2

    Google Scholar 

  40. Josifova T, Schneider U, Henrich PB, Schrader W (2008) Eye disorders in diabetes: potential drug targets. Infect Disord Drug Targets 8:70–75

    Article  PubMed  CAS  Google Scholar 

  41. Josifova T, Henrich PB, Schrader W (2009) Prevalence, targeted treatment and prevention of eye disorders in diabetes. In: Golubnitschaja O (ed) Predictive diagnostics and personalized treatment: dream or reality. Nova Science Publishers Inc, New York

    Google Scholar 

  42. Schoen FJ, Levy RJ (2005) Calcification of tissue heart valve substitutes: progress toward understanding and prevention. Ann Thorac Surg 79:1072–1080

    Article  PubMed  Google Scholar 

  43. Golubnitschaja O (2007) Cell cycle checkpoints: the role and evaluation for early diagnosis of senescence, cardiovascular, cancer, and neurodegenerative diseases. Amino Acids 32:359–371

    Article  PubMed  CAS  Google Scholar 

  44. Golubnitschaja O, Yeghiazaryan K, Skowasch D, Schild H, Bauriedel G (2006) p21WAF1/CIP1 and 14-3-3 sigma gene expression in degenerated aortic valves: a link between cell cycle checkpoints and calcification. Amino Acids 31:309–316

    Article  PubMed  CAS  Google Scholar 

  45. Yeghiazaryan K, Skowasch D, Bauriedel G, Schild H, Golubnitschaja O (2007) Could activated tissue remodeling be considered as early marker for progressive valve degeneration? Comparative analysis of checkpoint and ECM remodeling gene expression in native degenerating aortic valves and after bioprosthetic replacement. Amino Acids 32:109–114

    Article  PubMed  CAS  Google Scholar 

  46. Yeghiazaryan K, Bauriedel G, Schild HH, Golubnitschaja O (2008) Prediction of degeneration of native and bioprosthetic aortic valves: issue-related particularities of diabetes mellitus. Infect Disord Drug Targets 8:88–99

    Article  PubMed  CAS  Google Scholar 

  47. Coelho JFJ, Ferreira P, Gil MH (2008) New approaches in drug delivery systems: application for diabetes treatment. Infect Disord Drug Targets 8:119–128

    Article  PubMed  CAS  Google Scholar 

  48. Coelho JFJ, Ferreira P, Fonseca AC, Fernandes AF, Seiça R, Gil MH (2009) Advanced drug delivery systems in diabetes treatment. In: Golubnitschaja O (ed) Predictive diagnostics and personalized treatment: dream or reality. Nova Science Publishers Inc, New York

    Google Scholar 

  49. Harrison PT (2008) Application of gene therapy in diabetes care. Infect Disord Drug Targets 8:129–133

    Article  PubMed  CAS  Google Scholar 

  50. Harrison PT, Flynn R, Lee CM (2009) Gene therapy and individualized medicine. In: Golubnitschaja O (ed) Predictive diagnostics and personalized treatment: dream or reality. Nova Science Publishers Inc, New York

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Olga Golubnitschaja .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Golubnitschaja, O. (2013). Three Levels of Prediction, Prevention and Individualised Treatment Algorithms to Advance Diabetes Care: Integrative Approach. In: Mozaffari, M. (eds) New Strategies to Advance Pre/Diabetes Care: Integrative Approach by PPPM. Advances in Predictive, Preventive and Personalised Medicine, vol 3. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5971-8_2

Download citation

  • DOI: https://doi.org/10.1007/978-94-007-5971-8_2

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-5970-1

  • Online ISBN: 978-94-007-5971-8

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics