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Rahman, T. Diabetes Mellitus. Encyclopedia. Available online: https://encyclopedia.pub/entry/9178 (accessed on 15 November 2024).
Rahman T. Diabetes Mellitus. Encyclopedia. Available at: https://encyclopedia.pub/entry/9178. Accessed November 15, 2024.
Rahman, Tania. "Diabetes Mellitus" Encyclopedia, https://encyclopedia.pub/entry/9178 (accessed November 15, 2024).
Rahman, T. (2021, April 29). Diabetes Mellitus. In Encyclopedia. https://encyclopedia.pub/entry/9178
Rahman, Tania. "Diabetes Mellitus." Encyclopedia. Web. 29 April, 2021.
Diabetes Mellitus
Edit

Diabetes mellitus has become a serious and chronic metabolic disorder that results from a complex interaction of genetic and environmental factors, principally characterized by hyperglycemia, polyuria, and polyphagia.

diabetes mellitus epidemiology biochemistry metabolic disorder diagnosis complications management of diabetes

1. Introduction

Diabetes mellitus (DM) is primarily characterized by high blood glucose levels (hyperglycemia), polydipsia, and polyphagia. DM is one of the most common metabolic disorders that is increasing at an alarming rate all over the world [1][2][3]. There are mainly four common types of DM. Type 1 DM (T1DM) is caused by the autoimmune annihilation of the pancreatic-β cell with no insulin production [4]. This type is also called insulin-dependent diabetes mellitus (IDDM) [5][6]. This type of DM is seen in childhood and includes 5–10% of total diabetes patients [1]. The major type of diabetes is Type 2 DM (T2DM), which is caused due to insufficient production of insulin or desensitization of insulin receptors that precludes the entry of glucose into the cell [7][8]. There is another type of diabetes called gestational diabetes mellitus (GDM) that occurs only during pregnancy. Monogenic diabetes, which is often misdiagnosed as T1DM or T2DM is caused by a mutation in a single gene or a cluster of genes [9][10].

2. Epidemiology of Diabetes

The disease burden related to diabetes is high and rising in every country, fueled by the global rise in the prevalence of obesity and unhealthy lifestyles. The latest estimates show a prevalence rate of 11.1% with diabetes in 2019, expected to rise to 13% by 2045 in Northern America and Caribbean regions [11]. The prevalence rate is most pronounced in the Middle East and North African regions which are predicted to rise 13.9% by 2045 (Figure 1). The lowest prevalence rate (4.7%) is observed in Africa which is expected to increase to 5.2% in 2045 [11]. In general, countries in South-East Asia and South America have either high or intermediate incidences [11]. According to a recent study by Saeedi et al. in 2019 [11], a global prevalence of 463 million people with diabetes was recorded which represents a 9.3% prevalence rate worldwide. By 2030 this prevalence rate is estimated to reach 10.2% and by 2045 to 10.9%. The region-stratified diabetes prevalence is calculated for several countries which display the countries with the highest number of diabetic patients in 2019, worldwide [12]. The top 10 countries or territories for the number of people with diabetes are identified (Figure 2). Among these countries, China has the highest proportion of diabetic patients at around 116 million. India seconds the list at 77 million followed by the United States of America at 31 million demonstrating the US as one of the most diabetic risk countries in the upcoming decade. Pakistan, Brazil, and Mexico are those projected to the high-end diabetic groups with diabetic patients at around 19 million, 16 million, and 12 million, respectively. While Bangladesh falls in the lower end of this list, the country’s increasing population and lack of well-planned intervention strategies make it no lower diabetic risk than the US.

Diabetology 02 00004 g001 550

Figure 1. Prevalence of diabetes by world regions in 2019 and 2045 (estimated).

Diabetology 02 00004 g002 550

Figure 2. Countries with the highest number of diabetic patients worldwide in 2019.

3. Risk Factors for Diabetes

Genetics, atmosphere, loss of very first phase associated with insulin launch, sedentary way of life, lack of physical exercise, smoking, alcoholic beverages, dyslipidemia, reduced β-cell sensitivity, hyperinsulinemia, improved glucagon activity are the primary risk elements for prediabetes and DM [13][14][15][16][17][18][19][20]. These factors appear to play a significant role in insulin resistance or insulin nonfunctionality resulting in disease advancement. Most T2DM diabetic patients have often excess body weight. Obstructive sleep apnea and sleep disorder that are seen among overweight adult individuals are a common risk factor for insulin resistance and glucose sensitivity which collectively progresses to prediabetes and then T2DM. The diet containing low fiber but a high glycemic index (GI) is thought to be positively related to the onset of diabetes [21][22]. There is evidence that free fatty acids are one important link between insulin resistance and T2DM. Soft drinks of which the most deleterious feature is the high fructose load and consequent metabolic effects on the liver can cause obesity and increase body mass index (BMI) that may lead to T2DM. Some classes of drugs (i.e., antipsychotics, diuretics, immune suppressants, beta-blockers) also can induce diabetes [23][24]. Several infectious diseases including coxsackievirus, nonenveloped linear single-stranded RNA virus, rotavirus, and cytomegalovirus also trigger autoimmunity to T1DM. A couple of pancreatic diseases occur due to MMR (measles, mumps, and rubella) which can contribute to the development of T1DM producing autoantibodies [25][26]. Thus, diabetes can occur due to a complex interaction among many different risk factors.

4. Diagnosis of Diabetes

As untreated DM can lead to serious complications, early diagnosis of diabetes may prevent serious consequences due to the illness. Glycosylated hemoglobin (HbA1c) and oral glucose tolerance tests (OGTT) are commonly demonstrated for screening diabetes. Fasting plasma glucose test is another reliable routine method for the diagnosis of diabetes. 

5. Complications of Diabetes

Long-term exposure to DM shows many other complications of diabetes. High blood glucose levels due to DM results in diabetic nephropathy, retinopathy, neuropathy, and diabetic cataracts. Ketoacidosis is common in diabetic patients due to the continuous production of ketone bodies [27]. T1DM patients may develop obstructive pancreatitis because of inflammation in the pancreas, hyperplasia of the pancreatic duct gland resulting in obstructive pancreatitis [28]. Diabetic patients are also at risk of free radical associated damage which is higher in diabetic patients than that of normal leading to atherosclerosis, cardiovascular disease, and hypertension. Prevalence of coronary artery disease (CAD), heart disease, and sudden cardiac death are elevated in diabetic patients. The high blood glucose level in diabetic patients stimulates superoxide production. Several studies indicated that cognitive dysfunction occurs in T2DM affecting intelligence, attention, memory, learning, and perception. Diabetes is also diagnosed as a potent risk factor for cancer because both share some common risk factors including age, sex, obesity, diet, smoking, and alcohol [29][30][31][32][33][34][35]. Other studies also indicated that different forms of cancer including liver cancer, pancreatic cancer, and non-Hodgkin’s lymphoma are predominant in diabetic patients.

6. Management of Diabetes

It was thought that once a patient is diabetic, he/she is diabetic for a lifetime; however, DM can go into remission [36]. Diabetes can be controlled by changing diet, doing physical exercise, maintaining reasonable body weight, monitoring lipid profile, and having appropriate medication when necessary. Moderate exercise which decreases obesity helps lowering blood glucose levels through insulin-independent glucose transport into the muscle. There are some drugs that are often prescribed to treat T2DM (Table 2). The most commonly used drugs are a class of biguanides, thiazolidinediones, α-glucosidase inhibitors, and glucagon-like peptide-1 agonist.

Table 2. Currently used drugs targeting different sites.

Drug Class Example Mode of Action Common Side Effects References
Insulin secretagogues Sulfonylureas Inhibit β-cell K+ ATP channel and facilitate insulin secretion Hypoglycemia [37]
  Meglitinides Weight gain
GLP-1 agonists Liraglutide Increase glucose-dependent insulin secretion, reduces glucagon secretion, and delays gastric emptying   [38][39]
Exenatide Pancreatitis
Lixisenatide  
α–glucosidase inhibitors Acarbose Reduces the rate of digestion of carbohydrate in the intestine hence less glucose absorption Abdominal pain [40]
Miglitol Diarrhea  
Voglibose Flatulence  
  Canagliflozin Increases glucose excretion in urine Hypotension [41]
SGLT-2 inhibitors Dapagliflozin Urinary tract infection
  Empagliflozin  
  Vildagliptin Increases endogenous GLP-1 and GIP levels Respiratory tract infection [42][43]
DPP4 inhibitors Linagliptin Nasopharyngitis
  Saxagliptin Headache
  Sitagliptin  
    Activate AMPK, decreasing glucose production and insulin resistance Lactic acidosis [44]
Biguanides Metformin Gastrointestinal irritation  
  Pioglitazone Activate PPAR-γ, decreasing insulin resistance Fluid retention [45]
Thiazolidinediones Rosiglitazone Weight gain

7. Recent Technologies for Combating Diabetes

Advancement of stem cell technology has been a boon for researchers in developing a subsequent cure for type 1 diabetes [46]. Mesenchymal stem cell (MSC) therapy has shown considerable improvement in β-cell function in newly diagnosed type 1 diabetic patient while also showing considerable immunomodulatory effect [47][48][49][50][51][52]. Additionally, the pluripotent nature of embryonic stem cells (ESC) makes therapy using ESCs an appealing approach for treating type 1 diabetes [53][54]. Other promising diabetic treatment methods include VEGF inhibitors [55], SGLT2 inhibitors [56], SiRNA therapy [57], miRNA therapy [58], phytochemicals [59], and somatic gene therapy. While VEGF inhibition is not an absolute cure for diabetes, it has shown considerable effect against Diabetic Macular Oedema (DMO) [55][60], on the other hand, SGLT2 is a major renal protein responsible for glucose reabsorption, so SGLT2 inhibitors reduce the symptoms and risk factors of diabetes by lowering blood glucose level via inhibiting the glucose reabsorption pathway in kidneys [56]. Several studies have suggested several plants to carry antidiabetic properties too (e.g., Murraya koenigii, Allium sativum, Withania somnifera, Gymnema sylvestre, Allium cepa, Ferula foetida, etc.) [61][62][63][64]. In the case of somatic gene therapy, studies suggest this technique to have a considerable affinity for treating both type 1 and type 2 diabetes. While ex-vivo somatic gene therapy generates efficient β-cells, thus treating insulin deficiency [54][65], in-vivo somatic gene therapy prioritizes lowering blood glucose via generating both insulin [66][67] and noninsulin genes [68][69][70] (Gck, PTG etc.).

8. Future Perspectives

The finding of the relationship between diabetes and genetics, environmental factors, ethnicity, and lifestyle could be very helpful for the future development of the management of the disease. Changing lifestyle, doing sufficient physical exercise, maintaining body weight, controlling lipid profile, and minimizing glucose level are very effective. As uncontrolled diabetes could lead to serious complications, research focusing on the early detection of diabetes, developing various tools for understanding pancreatic β-cell destruction, developing targeted drugs are the appropriate steps to control the disease.

References

  1. World Health Organization (WHO). Global Report on Diabetes; WHO: Geneva, Switzerland, 2017; Available online: (accessed on 22 September 2018).
  2. Mathers, C.D.; Loncar, D. Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med. 2006, 3, e442.
  3. World Health Organization; International Diabetes Federation. Definition and Diagnosis of Diabetes Mellitus and Intermediate Hyperglycaemia: Report of a WHO/IDF Consultation; WHO: Geneva, Switzerland, 2006.
  4. Morran, M.P.; Vonberg, A.; Khadra, A.; Pietropaolo, M. Immunogenetics of type 1 diabetes mellitus. Mol. Asp. Med. 2015, 42, 42–60.
  5. Martin, B.C.; Warram, J.H.; Krolewski, A.S.; Soeldner, J.S.; Kahn, C.R.; Bergman, R.N. Role of glucose and insulin resistance in development of type 2 diabetes mellitus: Results of a 25-year follow-up study. Lancet 1992, 340, 925–929.
  6. Tisch, R.; McDevitt, H. Insulin-dependent diabetes mellitus. Cell 1996, 85, 291–297.
  7. Reinehr, T. Type 2 diabetes mellitus in children and adolescents. World J. Diabetes 2013, 4, 270–281.
  8. Reaven, G.M. Insulin-independent diabetes mellitus: Metabolic characteristics. Metabolism 1980, 29, 445–454.
  9. Cholesterol Treatment Trialists Collaborators; Reith, C.; Staplin, N.; Herrington, N.G.; Stevens, R.; Emberson, J.; Haynes, R.; Mafham, M.; Armitage, J.; Cass, A.; et al. Efficacy of cholesterol-lowering therapy in 18,686 people with diabetes in 14 randomised trials of statins: A meta-analysis. Lancet 2008, 371, 117–125.
  10. Ceriello, A.; Testa, R. Antioxidant anti-inflammatory treatment in type 2 diabetes. Diabetes Care 2009, 32, S232–S236.
  11. Saeedi, P.; Petersohn, I.; Salpea, P.; Malanda, B.; Karuranga, S.; Unwin, N.; Colagiuri, S.; Guariguata, L.; Motala, A.A.; Ogurtsova, K.; et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Res. Clin. Pract. 2019, 157, 107843.
  12. International Diabetes Federation, IDF Diabetes Atlas, 9th ed.; IDF: Brussels, Belgium, 2019.
  13. Lee, I.-M.; Shiroma, E.J.; Lobelo, F.; Puska, P.; Blair, S.N.; Katzmarzyk, P.T. Effect of physical inactivity on major non-communicable diseases worldwide: An analysis of burden of disease and life expectancy. Lancet 2012, 380, 219–229.
  14. Knott, C.; Bell, S.; Britton, A. Alcohol consumption and the risk of type 2 diabetes: A systematic review and dose-response meta-analysis of more than 1.9 million individuals from 38 observational studies. Diabetes Care 2015, 38, 1804–1812.
  15. Akter, S.; Goto, A.; Mizoue, T. Smoking and the risk of type 2 diabetes in Japan: A systematic review and meta-analysis. J. Epidemiol. 2017, 27, 553–561.
  16. Danaei, G.; Finucane, M.M.; Lu, Y.; Singh, G.M.; Cowan, M.J.; Paciorek, C.J.; Lin, J.K.; Farzadfar, F.; Khang, Y.-H.; Stevens, A.G.; et al. National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: Systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2·7 million participants. Lancet 2011, 378, 31–40.
  17. Cornier, M.-A.; Donahoo, W.T.; Pereira, R.; Gurevich, I.; Westergren, R.; Enerbäck, S.; Eckel, P.J.; Goalstone, M.L.; Hill, J.O.; Eckel, R.H.; et al. Insulin sensitivity determines the effectiveness of dietary macronutrient composition on weight loss in obese women. Obes. Res. 2005, 13, 703–709.
  18. Chen, L.; Chen, R.; Wang, H.; Liang, F. Mechanisms linking inflammation to insulin resistance. Int. J. Endocrinol. 2015, 2015, 1–9.
  19. Maj, M.; Ilhan, A.; Neziri, D.; Gärtner, W.; Berggård, T.; Attems, J.; Base, W.; Wagner, L. Age related changes in pancreatic beta cells: A putative extra-cerebral site of Alzheimer’s pathology. World J. Diabetes 2011, 2, 49–53.
  20. Schulze, M.B.; Hoffmann, K.; E Manson, J.; Willett, W.C.; Meigs, J.B.; Weikert, C.; Heidemann, C.; A Colditz, G.; Hu, F.B. Dietary pattern, inflammation, and incidence of type 2 diabetes in women. Am. J. Clin. Nutr. 2005, 82, 675–684.
  21. Li, D.-W.; Lu, T.-F.; Hua, X.-W.; Dai, H.-J.; Cui, X.-L.; Zhang, J.-J.; Xia, Q. Risk factors for new onset diabetes mellitus after liver transplantation: A meta-analysis. World J. Gastroenterol. 2015, 21, 6329.
  22. Sears, B.; Perry, M. The role of fatty acids in insulin resistance. Lipids Health Dis. 2015, 14, 1–9.
  23. Penfornis, A.; Kury-Paulin, S. Immunosuppressive drug-induced diabetes. Diabetes Metab. 2006, 32, 539–546.
  24. Fathallah, N.; Slim, R.; Larif, S.; Hmouda, H.; Ben Salem, C. Drug-induced hyperglycaemia and diabetes. Drug Saf. 2015, 38, 1153–1168.
  25. Atkinson, M.A. The pathogenesis and natural history of type 1 diabetes. Cold Spring Harb. Perspect. Med. 2012, 2, a007641.
  26. Atkinson, M.A.; Von Herrath, M.; Powers, A.C.; Clare-Salzler, M. Current concepts on the pathogenesis of type 1 diabetes—Considerations for attempts to prevent and reverse the disease. Diabetes Care 2015, 38, 979–988.
  27. Onyiriuka, A.N.; Ifebi, E. Ketoacidosis at diagnosis of type 1 diabetes in children and adolescents: Frequency and clinical characteristics. J. Diabetes Metab. Disord. 2013, 12, 47.
  28. Moin, A.S.M.; Butler, P.C.; Butler, A.E. Increased proliferation of the pancreatic duct gland compartment in type 1 diabetes. J. Clin. Endocrinol. Metab. 2016, 102, 200–209.
  29. Aronson, D.; Edelman, E.R. Coronary artery disease and diabetes mellitus. Cardiol. Clin. 2014, 32, 439–455.
  30. Satija, A.; Spiegelman, D.; Giovannucci, E.; Hu, F.B. Type 2 diabetes and risk of cancer. BMJ 2014, 350, g7707.
  31. Shah, A.D.; Langenberg, C.; Rapsomaniki, E.; Denaxas, S.; Pujades-Rodriguez, M.; Gale, C.P.; Deanfield, J.; Smeeth, L.; Timmis, A.; Hemingway, H. Type 2 diabetes and incidence of cardiovascular diseases: A cohort study in 1.9 million people. Lancet Diabetes Endocrinol. 2015, 3, 105–113.
  32. Zoungas, S.; Arima, H.; Gerstein, H.C.; Holman, R.R.; Woodward, M.; Reaven, P.; A Hayward, R.; Craven, T.; Coleman, R.L.; Chalmers, J. Effects of intensive glucose control on microvascular outcomes in patients with type 2 diabetes: A meta-analysis of individual participant data from randomised controlled trials. Lancet Diabetes Endocrinol. 2017, 5, 431–437.
  33. Leon, B.M. Diabetes and cardiovascular disease: Epidemiology, biological mechanisms, treatment recommendations and future research. World J. Diabetes 2015, 6, 1246–1258.
  34. Marseglia, A.; Fratiglioni, L.; Laukka, E.J.; Santoni, G.; Pedersen, N.L.; Bäckman, L.; Xu, W. Early cognitive deficits in type 2 diabetes: A POPULATION-based study. J. Alzheimer’s Dis. 2016, 53, 1069–1078.
  35. Wojciechowska, J.; Krajewski, W.; Bolanowski, M.; Kręcicki, T.; Zatoński, T. Diabetes and cancer: A review of current knowledge. Exp. Clin. Endocrinol. Diabetes 2016, 124, 263–275.
  36. Panunzi, S.; Carlsson, L.M.S.; De Gaetano, A.; Peltonen, M.; Rice, T.; Sjöström, L.; Mingrone, G.; Dixon, J.B. Determinants of diabetes remission and glycemic control after bariatric surgery. Diabetes Care 2016, 39, 166–174.
  37. Type 2 diabetes and insulin secretagogues. J. Clin. Endocrinol. Metab. 2012, 97, 37A.
  38. Garber, A.J. Long-acting glucagon-like peptide 1 receptor agonists: A review of their efficacy and tolerability. Diabetes Care 2011, 34, S279–S284.
  39. Filippatos, T.D.; Panagiotopoulou, T.V.; Elisaf, M.S. Adverse Effects of GLP-1 Receptor Agonists. Rev. Diabet. Stud. 2014, 11, 202–230.
  40. Kalra, S.; Bhutani, J.; Mohan, V.; Unnikrishnan, R.; Kunju, P. Alpha-glucosidase inhibitors. Diabetol. Type 2 Diabetes Mellit. 2014, 64, 55.
  41. Hsia, D.S.; Grove, O.; Cefalu, W.T. An update on sodium-glucose co-transporter-2 inhibitors for the treatment of diabetes mellitus. Curr. Opin. Endocrinol. Diabetes Obes. 2016, 24, 1.
  42. Sebokova, E.; Christ, A.D.; Boehringer, M.; Mizrahi, J. Dipeptidyl peptidase iv inhibitors: The next generation of new promising therapies for the management of type 2 diabetes. Curr. Top. Med. Chem. 2007, 7, 547–555.
  43. Pathak, R.; Bridgeman, M.B. Dipeptidyl peptidase-4 (DPP-4) inhibitors in the management of diabetes. J. Formul. Manag. 2010, 35, 509–513.
  44. Strack, T. Metformin: A review. Drugs Today 2008, 44, 303–314.
  45. Nanjan, M.; Mohammed, M.; Kumar, B.P.; Chandrasekar, M. Thiazolidinediones as antidiabetic agents: A critical review. Bioorganic Chem. 2018, 77, 548–567.
  46. Maehr, R.; Chen, S.; Snitow, M.; Ludwig, T.; Yagasaki, L.; Goland, R.; Leibel, R.L.; Melton, D.A. Generation of pluripotent stem cells from patients with type 1 diabetes. Proc. Natl. Acad. Sci. USA 2009, 106, 15768–15773.
  47. Abdi, R.; Fiorina, P.; Adra, C.N.; Atkinson, M.; Sayegh, M.H. Immunomodulation by mesenchymal stem cells: A potential therapeutic strategy for type 1 diabetes. Diabetes 2008, 57, 1759–1767.
  48. Spaggiari, G.M.; Abdelrazik, H.; Becchetti, F.; Moretta, L. MSCs inhibit monocyte-derived DC maturation and function by selectively interfering with the generation of immature DCs: Central role of MSC-derived prostaglandin E2. Blood 2009, 113, 6576–6583.
  49. Wu, J.; Sun, Z.; Sun, H.-S.; Wu, J.; Weisel, R.D.; Keating, A.; Li, Z.-H.; Feng, Z.-P.; Li, R.-K. Intravenously administered bone marrow cells migrate to damaged brain tissue and improve neural function in ischemic rats. Cell Transpl. 2007, 16, 993–1005.
  50. Tyndall, A.; Walker, A.U.; Cope, A.; Dazzi, F.; De Bari, C.; Fibbe, W.; Guiducci, S.; Jones, S.; Jorgensen, C.; Le Blanc, K.; et al. Immunomodulatory properties of mesenchymal stem cells: A review based on an interdisciplinary meeting held at the Kennedy Institute of Rheumatology Division, London, UK, 31 October 2005. Arthritis Res. Ther. 2007, 9, 301.
  51. Ianus, A.; Holz, G.G.; Theise, N.D.; Hussain, M.A. In vivo derivation of glucose-competent pancreatic endocrine cells from bone marrow without evidence of cell fusion. J. Clin. Investig. 2003, 111, 843–850.
  52. Ghannam, S.; Bouffi, C.; Djouad, F.; Jorgensen, C.; Noël, D. Immunosuppression by mesenchymal stem cells: Mechanisms and clinical applications. Stem Cell Res. Ther. 2010, 1, 1–7.
  53. Chien, K.R.; Moretti, A.; Laugwitz, K.-L. Development: ES cells to the rescue. Science 2004, 306, 239–240.
  54. Zalzman, M.; Gupta, S.; Giri, R.K.; Berkovich, I.; Sappal, B.S.; Karnieli, O.; Zern, M.A.; Fleischer, N.; Efrat, S. Reversal of hyperglycemia in mice by using human expandable insulin-producing cells differentiated from fetal liver progenitor cells. Proc. Natl. Acad. Sci. USA 2003, 100, 7253–7258.
  55. Zechmeister-Koss, I.; Huić, M. Vascular endothelial growth factor inhibitors (anti-VEGF) in the management of diabetic macular oedema: A systematic review. Br. J. Ophthalmol. 2011, 96, 167–178.
  56. Chao, E.C.; Henry, R.R. SGLT2 inhibition—A novel strategy for diabetes treatment. Nat. Rev. Drug Discov. 2010, 9, 551–559.
  57. Zhang, Q.; Shi, Y.; Wada, J.; Malakauskas, S.M.; Liu, M.; Ren, Y.; Du, C.; Duan, H.; Li, Y.; Li, Y.; et al. In vivo delivery of gremlin siRNA plasmid reveals therapeutic potential against diabetic nephropathy by recovering bone morphogenetic protein-7. PLoS ONE 2010, 5, e11709.
  58. Kato, M.; Natarajan, R. MicroRNAs in diabetic nephropathy: Functions, biomarkers, and therapeutic targets. Ann. N. Y. Acad. Sci. 2015, 1353, 72–88.
  59. Ledley, F.D. Pharmaceutical approach to somatic gene therapy. Pharm. Res. 1996, 13, 1595–1614.
  60. Gupta, N.; Mansoor, S.; Sharma, A.; Sapkal, A.; Sheth, J.; Falatoonzadeh, P.; Kuppermann, B.; Kenney, M. Diabetic retinopathy and VEGF. Open Ophthalmol. J. 2013, 7, 4–10.
  61. Grover, J.; Yadav, S.; Vats, V. Medicinal plants of India with anti-diabetic potential. J. Ethnopharmacol. 2002, 81, 81–100.
  62. Pastors, J.G.; Warshaw, H.; Daly, A.; Franz, M.; Kulkarni, K. The evidence for the effectiveness of medical nutrition therapy in diabetes management. Diabetes Care 2002, 25, 608–613.
  63. Prasad, S.; Kulshresht, A.; Qureshi, T.N. Antidiabetic activity of some herbal plants in streptozotocin induced diabetic albino rats. Pak. J. Nutr. 2009, 8, 551–557.
  64. Bnouham, M.; Ziyyat, A.; Mekhfi, H.; Tahri, A.; Legssyer, A. Medicinal plants with potential antidiabetic activity—A review of ten years of herbal medicine research (1990–2000). Int. J. Diabetes Metab. 2006, 14, 1–25.
  65. Muzzin, P.; Eisensmith, R.C.; Copeland, K.C.; Woo, S.L.C. Hepatic insulin gene expression as treatment for type 1 diabetes mellitus in rats. Mol. Endocrinol. 1997, 11, 833–837.
  66. Auricchio, A.; Gao, G.-P.; Yu, Q.; Raper, S.; Rivera, V.; Clackson, T.; Wilson, J. Constitutive and regulated expression of processed insulin following in vivo hepatic gene transfer. Gene Ther. 2002, 9, 963–971.
  67. Short, D.K.; Okada, S.; Yamauchi, K.; Pessin, J.E. Adenovirus-mediated transfer of a modified human proinsulin gene reverses hyperglycemia in diabetic mice. Am. J. Physiol. Metab. 1998, 275, E748–E756.
  68. O’Doherty, R.M.; Lehman, D.L.; Telemaque-Potts, S.; Newgard, C.B. Metabolic impact of glucokinase overexpression in liver: Lowering of blood glucose in fed rats is accompanied by hyperlipidemia. Diabetes 1999, 48, 2022–2027.
  69. Morral, N.; McEvoy, R.; Dong, H.; Meseck, M.; Altomonte, J.; Thung, S.; Woo, S.L. Adenovirus-mediated expression of glucokinase in the liver as an adjuvant treatment for type 1 diabetes. Hum. Gene Ther. 2002, 13, 1561–1570.
  70. O’Doherty, R.M.; Jensen, P.B.; Anderson, P.; Jones, J.G.; Berman, H.K.; Kearney, D.; Newgard, C.B. Activation of direct and indirect pathways of glycogen synthesis by hepatic overexpression of protein targeting to glycogen. J. Clin. Investig. 2000, 105, 479–488.
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