Volume 7, number 2
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Felice C. S, Santhosh D, Hawari M. J, Saradhi S. V , Lalitha K. Diabetes and chronic ailments- An analytical and comparative study. Biosci Biotech Res Asia 2010;7(2)
Manuscript received on : July 21, 2010
Manuscript accepted on : September 18, 2010
Published online on:  28-12-2010
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Diabetes and chronic ailments- An analytical and comparative study

C.  S. Felice1*, D. Santhosh1, md. Jumaddin Hawari1, S. Vijaya Saradhi1 and K. Lalitha2

1Department of Biotechnology, K L University, Vaddeswaram, Guntur - 522 502 India.

2Nirmala College of Pharmacy, Mangalagiri, Guntur India.

Corresponding Author Email: shechinahfelice@yahoo.co.in

ABSTRACT: Diabetes mellitus 1- 8 is a silent chronic disorder characterized by elevated blood sugar levels either due to defective insulin secretion or action or both. It is associated with altered metabolism of carbohydrates, fats and proteins. This condition is characterized by the inability of the individuals to metabolize and utilize glucose. Diabetes is a disease which has no cure and prevention is the only method to counter the disease. Diabetes is a disease which probably affects every organ of the body right from the toe to the brain. The present study was undertaken to study the effect of diabetes on individuals suffering from other chronic ailments such as Cardiac 9-11 liver and renal diseases12-26. A thorough survey was carried out on a number of subjects and the results tabulated systematically to explain the correlation of biological parameters with diabetes and related chronic ailments in term of age sex and their overall health condition.

KEYWORDS: Diabetes mellitus; Correlation; Analysis; Estimation; Hematology; Serology

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Felice C. S, Santhosh D, Hawari M. J, Saradhi S. V , Lalitha K. Diabetes and chronic ailments- An analytical and comparative study. Biosci Biotech Res Asia 2010;7(2)

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Felice C. S, Santhosh D, Hawari M. J, Saradhi S. V , Lalitha K. Diabetes and chronic ailments- An analytical and comparative study. Biosci Biotech Res Asia 2010;7(2). Available from:https://www.biotech-asia.org/?p=9578

Introduction

It must be noted that the third most threatening disease in the world is diabetes, a disease that can be controlled but not cured. Tuberculosis is also a dangerous and threatening disease which is commonly associated with the respiratory tract. Diabetes mellitus is a silent chronic disorder characterized by elevated blood sugar levels. It is associated with altered metabolism of carbohydrates, fats and proteins. There are two major types of diabetes, type 1 and type 2 diabetes. Type 1 diabetes (earlier called juvenile-onset or insulin-dependent diabetes), usually develops in children or young adults. In this type the body completely stops producing insulin, the hormone that enables the body to use glucose found in food into energy, due to damage to insulin producing cells (beta cells) of the pancreas. In type 2 diabetes (earlier called adult-onset or non insulin-dependent diabetes), the body produces some insulin, but it is not enough and moreover there is insulin resistance, which means that the available insulin does not work properly. Diabetes is a chronic disease and has no cure and only prevention. Individuals who are diabetic often suffer from diabetic nephropathy. Diabetes is the primary reason for adult blindness, end-stage renal disease (ESRD), gangrene and amputations. Overweight, lack of exercise, family history and stress increase the likelihood of diabetes. When blood sugar level is constantly high it leads to kidney failure, cardiovascular problems and neuropathy. Patients with diabetes are 4 times more likely to have coronary heart disease and stroke. In addition, Gestational diabetes is more dangerous for pregnant women and their fetus.

Though, Diabetes mellitus is not completely curable but, it is controllable to a great extent. So, you need to have thorough diabetes information to manage this it successfully. The control of diabetes mostly depends on the patient and it is his/her responsibility to take care of their diet, exercise and medication. Advances in diabetes research have led to better ways of controlling diabetes and treating its complications.

Experimental

Instrumentation

The total count of white blood cells as made using a Haemocytometer, Differential count with Leishmann’s staining and all the serological examinations were carried out on a Systronics Auto analyzer for estimation of Glucose, Choleserol, Urea and proteins.

Method 1: WBC pipette, Neubar chamber, WBC Diluting fluid.

Method 2:  Leishman stain, Glass slide.

Method 3: ESR westergrent tube strand needle.

Method 4 to 7: All reagents were prepared as per standard procedures available for the respective estimations and measurements were taken using a Genesis UV Split beam spectrophotometer 110.

Reagents

All the chemicals used were of analytical grade. All the solutions were freshly prepared with double distilled water and a few of these reagents were  directly used wherever necessary.

Method 1: WBC diluting fluid.

Method 2: Leishman stain

Method 3: EDTA

Method 4: enzyme reagent, glucose standard.

Method 5: cholesterol reagent buffer PH (6.7) cholesterol esterase cholesterol oxidase, peroxidase, 4-aminoantipyrine, stabilizers) , cholesterol standard.

Method 6: Enzyme reagent (hypochlorite) and urea standard.

Method 7: Albumin reagent (succinic acid, bromocresol green, sodium hydroxide, buffer PH (3.68), Albumin standard (BSA preservative).

Standard and Sample solutions

A survey was carried out with an in depth prepared questionnaire. Seeking information about various aspects, from the subjects concerned. The information was sought in terms of age, sex, food habits, family history, disease history, other ailments, their nature of work, and their stress levels and so on. After screening about 100 samples with reference to the type of study intended, 15 samples were selected for investigation and the following experimental procedures were carried out.

Experimental procedures

Method 1: Total count of WBC

The blood was drawn into the WBC pipette upto 0.5 mark and the WBC diluting fluid was filled upto the 11 mark in the WBC pipette. The solution was mixed by swirling the pipette equally with hand and a small drop of diluted blood was allowed to drop into the Neubar chamber. The cells were observed by placing the chamber under 40X magnification on the mechanical stage of microscope.

Method 2: Differential Count of WBC

A drop of blood was placed on a clean and neat glass slide and a thin smear was made with the help of a spreader. The smear was allowed to dry and a few drops of Leishman stain was added on to it and observed under microscope.

Method 3: Erythrocyte Sedimentation rate

A volume of 1.6ml blood was collected with a disposable syringe and drawn into a tube in which 0.4 ml of sodium citrate solution is taken.  The solutions were mixed thoroughly for 2 minutes this solution. Immediately blood sample is loaded into the ESR tube up to ‘0’ mark. The tube was  allowed standing for exactly 60 min and the level to which the red cell column has fallen at the end of 1 hour is noted.

Method 4: Estimation of Blood Glucose

Test, standard and blank tubes were carefully labeled. In the three tubes 1 ml of working glucose reagent was added. In the tube marked standard 10 µl of glucose standard and in test 10 µl of serum was added. All the tubes were mixed well incubated at 37 o C for 10 minutes. The absorbance of the test and standard tubes was measured against reagent blank at a wavelength of 505 nm.  Analyzer was programmed as per assay parameters and the absorbance is calculated.

Method 5: Estimation of Cholesterol

Test, standard and blank tubes were carefully labeled. In the tube marked test 10 µl of serum was suspended. In the tube marked standard 10 µl of cholesterol standard was added. To all the three tubes 1000 µl of cholesterol reagent was added. All the tubes were mixed well incubated at 37 o C for 10 minutes and the absorbance of the three tubes( including blank) was measured at a wavelength of 505 nm.  Analyzer was programmed as per assay parameters and the absorbance is calculated

Method 6: Estimation of Urea

Test, standard and blank tubes were carefully labeled. In the three tubes 1 ml of working urea reagent was added. In the tube marked standard 10 µl of urea standard and in test 10 µl of serum was added. All the tubes were mixed well incubated at 37 o C for 3 minutes. To all the three tubes 1 ml of hypochlorite reagent was added. All the tubes were again mixed well incubated at 37 o C for 5 minutes and the absorbance of the three tubes (including blank) was measured at a wavelength of 578 nm.  Analyzer was programmed as per assay parameters and the absorbance is calculated.

Method 7: Estimation of Albumin

Test, standard and blank tubes were carefully labeled. In the tube marked test 10 µl of serum was suspended. In the tube marked standard 10 µl of albumin standard was added. To all the three tubes 1000 µl of Albumin reagent (Succinic acid, Bromocresol green, sodium hydroxide) was added. All the tubes were mixed well incubated at room temperature for 1 minute and the absorbance of the three tubes (including blank) was measured at a wavelength of 630 nm.  Analyzer was programmed as per assay parameters and the absorbance is calculated.

Table 1: Blood glucose values in relation to other biological parameters.

CODE NO AGE/  SEX GLUCOSE CHOLESTEROL PROTEIN UREA T.C DC ESR
mg/dl mg/dl mg/dl mg/dl N* E** L*** mm
% % %
D1 50/F 85.28 76.41 6.71 32.22 11,250 78% 2 20 100
D2 52/M 145 197 4.86 27.14 6,250 62 4 34 2
D3 41/M 111.76 105.88 5.57 24.4 8,300 60 2 36 2
D4 46/F 70.588 94.11 4.28 38.8 9,250 70 6 24 53
D5 50/M 64.705 105.88 4.41 44.4 5,150 58 2 40 70
D6 56/M 129.1 202 4.76 24.27 7,000 62 8 30 27
D7 55/F 147.05 88.28 3.71 24.4 8,750 66 2 32 10
D8 45/F 110.51 189.2 4.6 29 7,750 64 2 34 18
D9 55/F 194.23 88.28 4.14 21.11 5,750 72 2 26 24
D10 49/F 114.7 94.17 4 28.88 8,150 60 4 36 12
D11 75/M 129.11 76.48 4.57 32.2 5,150 56 4 40 48
D12 60/F 91.17 111.76 4 13.33 6,750 60 2 38 16
D13 38/F 191.17 105.88 4 20 8,500 77 1 32 50
D14 55/M 179.11 141.6 4.14 30 7,000 68 2 30 4
D15 50/M 102.4 64.55 4 17.7 9,000 66 4 30 2

*  Neutrophil               ** Eoisnophil              ***Lymphocytes

Results and Discussion

The proposed methods are based on a comparative study conducted with utmost accuracy and keeping in view the relevance of the disease under study. All the results for the estimations of various biological parameters have been tabulated. The study was intended to study the relationship between diabetes and renal, respiratory and cardiac diseases and for this purpose estimations related to urea, albumin and cholesterol were carried out.

Thus the proposed study is case sensitive and could throw sufficient light from the evidences collected for the individual subjects. It has been observed that people who are strongly diabetic are also found to suffer from high levels of cholesterol as their carbohydrate utilization capacity is decreased and the lipid utilization capacity is increased. Moreover it was also keenly observed that people who have sedentary food habits and do not undergo exercise, they have a tendency for renal dysfunction and elevated protein levels in blood and urine. It is also seen that subjects who have a good level of exercises and maintain a diet with time, are capable of controlling diabetes and hence their other parameters have also shown normal levels. The tendency for other organs to show abnormality is probably more in the age group of 40 years and above.  In all the subjects’ one thing that was commonly observed irrespective of the age group was a very abnormal ESR level. The total and differential counts in most of the subjects were normal.

Conclusion

Though, Diabetes mellitus is not completely curable but, it is controllable to a great extent. So, you need to have thorough diabetes information to manage this it successfully. The control of diabetes mostly depends on the patient and it is his/her responsibility to take care of their diet, exercise and medication. Advances in diabetes research have led to better ways of controlling diabetes and treating its complications. As long as the individual lives in a stress free environment and has control on his life style and habits, the disease will not affect any other organ or organ system of the body.

Acknowledgements

The authors are grateful to Managenet of K L University, Vaddeswaram and                G. Sudhir Prakash, Lab technician, P.B. Siddhartha College of Arts and science for their continuous support and encouragement and for providing the necessary facilities for carrying out this study.

References

  1. Yalow RS, Berson SA (July 1960). “Immunoassay of endogenous plasma insulin in man”. The Journal of Clinical Investigation 39: 1157–75
  2. Rother KI (April 2007). “Diabetes treatment—bridging the divide”. The New England Journal of Medicine 356 (15): 1499–501.
  3. Handelsman, Yehuda, MD. “A Doctor’s Diagnosis: Prediabetes.” Power of Prevention, Vol 1, Issue 2, 2009
  4. Risérus U, Willett WC, Hu FB (January 2009). “Dietary fats and prevention of type 2 diabetes”. Progress in Lipid Research 48 (1): 44–51.
  5. Nathan DM, Cleary PA, Backlund JY, et al. (December 2005). “Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes”. The New England Journal of Medicine 353 (25): 2643–53.
  6. Harris MI, Flegal KM, Cowie CC, et al. (April 1998). “Prevalence of diabetes, impaired fasting glucose, and impaired glucose tolerance in U.S. adults. The Third National Health and Nutrition Examination Survey, 1988–1994”. Diabetes Care 21 (4): 518–24.
  7. Narayan KM, Boyle JP, Thompson TJ, Sorensen SW, Williamson DF (October 2003). “Lifetime risk for diabetes mellitus in the United States”. JAMA 290 (14): 1884–90.
  1. Scott M. Grundy, MD, PhD, Chair; Ivor J. Benjamin, MD; Gregory L. Burke, D; Alan Chait, MD; Robert H. Eckel, MD; Barbara V. Howard, PhD; William Mitch, MD; Sidney C. Smith, Jr, MD; James R. Sowers, MD, Diabetes and Cardiovascular Disease, Circulation. 1999; 100:1134-1146.
  2. Reaven GM. Insulin resistance and its consequences: non-insulin-dependent diabetes mellitus and coronary heart disease. In: LeRoith D, Taylor SI, Olefsky JM, eds. Diabetes Mellitus: A Fundamental and Clinical Text. Philadelphia, Pa: Lippincott-Raven Publishers; 1996:509–519.
  1. Cowie CC, Port FK, Wolfe RA, Savage PJ, Moll PP, Hawthorne VM. Disparities in incidence of diabetic end-stage renal disease according to race and types of diabetes. N Engl J Med. 1989; 321:1074–1079.
  2. Rostand SG, Kirk KA, Rutsky EA, Pate BA. Racial differences in the incidence of treatment for end-stage renal disease. N Engl J Med. 1982;306:1276–1279.
  3. Stephens GW, Gillaspy JA, Clyne D, Mejia A, Pollak VE. Racial differences in the incidence of end-stage renal disease in types I and II diabetes mellitus. Am J Kidney Dis. 1990;15:562–567
  4. McMillan MA, Briggs JD, Junor BJ. Outcome of renal replacement treatment in patients with diabetes mellitus. 1990; 301:540–544.
  5. Hirschl MM, Heinz G, Sunder-Plassmann G, Derfler K. Renal replacement therapy in type 2 diabetic patients: 10 years’ experience. Am J Kidney Dis. 1992; 20:564–568.[Medline] [Order article via Infotrieve]
  6. Rischen-Vos J, van der Woude FJ, Tegzess AM, Zwinderman AH, Gooszen HC, van den Akker PJ, van Es LA. Increased morbidity and mortality in patients with diabetes mellitus after kidney transplantation as compared with non-diabetic patients. Nephrol Dial Transplant. 1992;7:433–437.[Abstract/Free Full Text]
  7. ADA Consensus Panel. Role of cardiovascular risk factors in prevention and treatment of macro vascular disease in diabetes: American Diabetes Association. Diabetes Care. 1989; 12:573–579.[Medline] [Order article via Infotrieve]
  8. Austin MA, King M-C, Vranizan KM, Krauss RM. Atherogenic lipoprotein phenotype: a proposed genetic marker for coronary heart disease risk. 1990;82:495–506.
  9. Austin MA, Breslow JL, Hennekens CH, Buring JE, Willett KC, Krauss RM. Low-density lipoprotein subclass patterns and risk of myocardial infarction. 1988;260:1917–1921
  10. Lamarche B, Tchernof A, Moorjani S, Cantin B, Dagenais GR, Lupien PJ, Despres JP. Small, dense low-density lipoprotein particles as a predictor of the risk of ischemic heart disease in men: prospective results from the Quebec Cardiovascular Study. 1997;95:69–75.
  11. Nelson RG, Pettitt DJ, Baird HR, Charles MA, Liu QZ, Bennett PH, Knowler WC. Pre-diabetic blood pressure predicts urinary albumin excretion after the onset of type 2 (non-insulin-dependent) diabetes mellitus in Pima Indians. 1993;36:998–1001.
  12. Edelson GW, Sowers JR. Insulin resistance in hypertension: a focused review. Am J Med Sci. 1993; 306:345–347.
  13. Gerick JE. The genetic basis of type 2 diabetes mellitus: impaired insulin secretion versus impaired insulin sensitivity. Endocr Rev. 1998;19:491–503.[Abstract/Free Full Text]
  14. Chisholm DJ, Campbell LV, Kraegen EW. Pathogenesis of the insulin resistance syndrome (syndrome X). Clin Exp Pharmacol Physiol. 1997;24:782–784.[Medline] [Order article via Infotrieve]
  15. Muller DC, Elahi D, Tobin JD, Andres R. The effect of age on insulin resistance and secretion: a review. Semin Nephrol. 1996; 16:289–298.[Medline] [Order article via Infotrieve]
  16. Dechenes CJ, Verchere CB, Andrikopoulos S, Kahn SE. Human aging is associated with parallel reductions in insulin and amylin release. Am J Physiol. 1998;275:E785–E791
  17. Sowers JR. Insulin resistance and hypertension. Mol Cell Endocrinol. 1990;74:C87–C89
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