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Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

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Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi
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Page 1: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Tanvir IbrahimPhD Scholar (Biochemistry)

UIBB, Arid Agriculture University, Rawalpindi

Page 2: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Pak Armed forces Med. J 2013;63 (3): 295-99

Page 3: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

As the Title indicates this is not only the correlation between Obesity & Diabetes Mellitus.

It describes the impact of obesity on more than the metabolic disorders like Diabetes.

Healthy obese individuals shows the personnel with the tendency of being occupied by the metabolic disorders.

Page 4: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

At the moment we are faced with the pandemics of Type 2 Diabetes mellitus (T2DM) and cardio vascular diseases (CVD)1.

Sedentary lifestyle along with modern fast foods, have resulted in a global epidemic of diabetes mellitus2.

It is predicted that it will rise from the current estimate of 190 million to 439 million in 2030. There will be a 69% increase in numbers of adults with diabetes in developing countries and a 20% increase in developed countries2.

There has been a dramatic increase in the prevalence of diabetes in people of South Asian origin, which is observed throughout the world3. People of Indian, Sri Lankan, Pakistani and Bangladeshi origin carry a high risk of

diabetes and cardiovascular disease4.

Page 5: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

To prevent the development of diabetes, individuals must be identified at an early stage of risk and managed with preventive measures such as lifestyle advice and pharmacological therapy.

Page 6: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

A key indicator of risk is insulin resistance (IR) that is the basic metabolic disorder associated with obesity. Evidence has been accumulating that insulin sensitivity and β-cell function are inextricably linked and should be measured simultaneously because their interplay is fundamental to glucose tolerance5. In the presence of advancing insulin resistance and inadequate beta-cell secretion, intra-abdominal fat accumulates, further aggravating insulin resistance6. Eventually the beta cell is overwhelmed and impaired glucose tolerance develops6.

Page 7: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Leptin is an adipocyte derived hormone. It has an important role in weight regulation7. Leptin levels correlate with insulin levels; both are high in insulin resistance. Little is known about state of insulin resistance and beta cell function in healthy obese and nonobese in the local population. This study was designed to determine the insulin resistance and beta cell function in healthy obese and non-obese individuals included in the study.

Page 8: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Metabolic Syndrome is not a disease, but rather a cluster of disorders of your body’s metabolism, including:o High blood pressureo High insulin levelso Excess body weighto Abnormal cholesterol levels

Each of these disorders is by itself a risk factor for other diseases.

In combination, however, these disorders dramatically boost the chances of developing potentially life-threatening illnesses, such as diabetes, heart disease or stroke.

Page 9: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

The syndrome is closely related to a generalized metabolic disorder called insulin resistance, in which the body can’t use insulin efficiently.

Page 10: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Insulin resistance is the basic metabolic disorder associated with obesity. Beta cell function is closely related with insulin resistance.

It is recognized that the features of the insulin resistance syndrome can be present 10 years preceding T2DM and CVD1.

Page 11: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

The South Asians are at a greater risk of developing T2DM and CVD even at lower BMI3. The number of T2DM and CVD cases are on an increase in our setup. The clustering of central obesity, dyslipidaemia, hypertension, and hyperglycemia known as metabolic syndrome or insulin resistance syndrome has been associated with a 2-3 fold increase in T2DM and CVD8.

Page 12: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

A figure used to assess the % of fat in your body.

For the mathematicians you would divide your weight in kg by your height in metres squared.

For example someone who weighed 68kg, and was 1.68m tall

1.68 x 1.68 = 2.82 68 divided by 2.82 = 24

Page 13: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

They were divided into 2 groups on the basis of BMI:Obese: 27.5-40 kg/m2, Non-obese:18.5-23.0 kg/m2These BMI values were used under the guidelines for Asian populations issued in the year 2000 by the International Association for the study of obesity and the International Obesity Task Force of World Health Organization, Western Pacific Region, Australia8. Only healthy obese individuals (not suffering from T2DM or hypertension/CAD) were included in this study, while overweight subjects (BMI 23.1-27.4 kg/m2) were excluded.

Page 14: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

The Islets of Langerhans form 1-2% of the pancreatic tissue.

Three types of cells make up the islets, the majority of them are beta cells.

Alpha cells Beta cells Gamma cells

Page 15: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Beta cells secrete Insulin which cause Glucose uptake by the cells Conversion of glucose to glycogen Uptake of amino acids and protein synthesis Storage of fat in fat depots Conversion of glucose to fat Reabsorption of glucose from glomrular

filtrate.

Page 16: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Diabetes mellitus (DM) is a group of diseases characterized by high levels of blood glucose resulting from defects in insulin production, insulin action, or both.

The term diabetes mellitus describes a metabolic disorder of multiple aetiology characterized by chronic hyperglycaemia with disturbances of carbohydrate, fat and protein metabolism resulting from defects in insulin secretion, insulin action, or both.

The effects of diabetes mellitus include long–term damage, dysfunction and failure of various organs.

Page 17: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Diabetes mellitus may present with characteristic symptoms such as thirst, polyuria, blurring of vision, and weight loss.

In its most severe forms, ketoacidosis or a non–ketotic hyperosmolar state may develop and lead to stupor, coma and, in absence of effective treatment, death.

complications of retinopathy with potential blindness, nephropathy that may lead to renal failure, and/or neuropathy with risk of foot ulcers, amputation

Page 18: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Type 1 Diabetes Mellitus Type 2 Diabetes Mellitus Gestational Diabetes

Secondary Diabetes Mellitus

Page 19: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Was previously called insulin-dependent diabetes mellitus (IDDM) or juvenile-onset diabetes.

Type 1 diabetes develops when the body’s immune system destroys pancreatic beta cells, the only cells in the body that make the hormone insulin that regulates blood glucose.

This form of diabetes usually strikes children and young adults, although disease onset can occur at any age.

Type 1 diabetes may account for 5% to 10% of all diagnosed cases of diabetes.

Risk factors for type 1 diabetes may include autoimmune, genetic, and environmental factors.

Page 20: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Was previously called non-insulin-dependent diabetes mellitus (NIDDM) or adult-onset diabetes.

Type 2 diabetes may account for about 90% to 95% of all diagnosed cases of diabetes.

It usually begins as insulin resistance, a disorder in which the cells do not use insulin properly. As the need for insulin rises, the pancreas gradually loses its ability to produce insulin.

Type 2 diabetes is associated with older age, obesity, family history of diabetes, history of gestational diabetes, impaired glucose metabolism, physical inactivity, and race/ethnicity.

African Americans, Hispanic/Latino Americans, American Indians, and some Asian Americans and Native Hawaiians or Other Pacific Islanders are at particularly high risk for type 2 diabetes.

Type 2 diabetes is increasingly being diagnosed in children and adolescents.

Page 21: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.
Page 22: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

A form of glucose intolerance that is diagnosed in some women during pregnancy.

Gestational diabetes occurs more frequently among African Americans, Hispanic/Latino Americans, and American Indians. It is also more common among obese women and women with a family history of diabetes.

During pregnancy, gestational diabetes requires treatment to normalize maternal blood glucose levels to avoid complications in the infant.

After pregnancy, 5% to 10% of women with gestational diabetes are found to have type 2 diabetes.

Women who have had gestational diabetes have a 20% to 50% chance of developing diabetes in the next 5-10 years.

Page 23: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Secondary causes of Diabetes mellitus include:

Acromegaly, Cushing syndrome, Thyrotoxicosis, Pheochromocytoma Chronic pancreatitis, Cancer Drug induced hyperglycemia:

◦ Atypical Antipsychotics - Alter receptor binding characteristics, leading to increased insulin resistance.

◦ Beta-blockers - Inhibit insulin secretion.◦ Calcium Channel Blockers - Inhibits secretion of insulin by interfering with

cytosolic calcium release.◦ Corticosteroids - Cause peripheral insulin resistance and gluconeogensis.◦ Fluoroquinolones - Inhibits insulin secretion by blocking ATP sensitive potassium

channels.◦ Naicin - They cause increased insulin resistance due to increased free fatty acid

mobilization.◦ Phenothiazines - Inhibit insulin secretion.◦ Protease Inhibitors - Inhibit the conversion of proinsulin to insulin.◦ Thiazide Diuretics - Inhibit insulin secretion due to hypokalemia. They also cause

increased insulin resistance due to increased free fatty acid mobilization.

Page 24: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.
Page 25: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

With classical symptoms of diabetes one time levels raised

With no obvious symptoms more than one time of raised levels

OGTT HbA1c

Page 26: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.
Page 27: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Management of Diabetes Mellitus

Page 28: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

The major components of the treatment of diabetes are:

Page 29: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Patients should be educated to practice self-care. This allows the patient to assume responsibility and control of his / her own diabetes management. Self-care should include:

◦ Blood glucose monitoring◦ Body weight monitoring◦ Foot-care◦ Personal hygiene◦ Healthy lifestyle/diet or physical activity◦ Identify targets for control◦ Stopping smoking

Page 30: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Cardiovascular system includes: the heart, arteries, arterioles, capillaries, venules, and veins

The heart◦ Muscular, four chambered pump◦ Contracts 100,000 times per day◦ Two upper chambers: atria◦ Two lower chambers: ventricles◦ Tricuspid, pulmonary, mitral, and aortic valves

Page 31: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Atherosclerosis Coronary heart disease (CHD) Chest pain (angina pectoris) Irregular heartbeat (arrhythmia) Congestive heart failure (CHF) Congenital and rheumatic heart disease Stroke

Page 32: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Characterized by deposits of fatty substances, cholesterol, cellular waste products, calcium, and fibrin in the inner lining of the artery

Hyperlipidemia – abnormally high blood lipid level

Plaque – the buildup of deposits in the arteries

Page 33: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Myocardial infarction (MI) or heart attack – blood supplying the heart is disrupted

Coronary thrombosis – blood clot in the artery

Embolus – when the blood clot is dislodged and moves through the circulatory system

Collateral circulation - if blockage to the heart is minor, an alternative blood flow is selected

Page 34: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Ischemia – reduction of the heart’s blood and oxygen supply

The more serious the oxygen deprivation the more severe the pain

Nitroglycerin – drug used to relax (dilate) the veins

Beta blockers control potential overactivity of the heart muscle

Page 35: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

An irregularity in heart rhythm Tachycardia – racing heart in the absence of

exercise or anxiety Bradycardia – abnormally slow heartbeat Fibrillation – heart beat is sporadic,

quivering pattern

Page 36: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Damaged or overworked heart muscle is unable to keep blood circulating normally

Affects over 5 million Americans Damage to heart muscle may result from:

rheumatic fever, pneumonia, heart attack, or other cardiovascular problem

Lack of proper circulation may allow blood to accumulate in the vessels of the legs, ankles, or lungs

Diuretics relieve fluid accumulation

Page 37: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Congenital heart disease affects 1 out of 125 children born

May be due to hereditary factors, maternal diseases, or chemical intake (alcohol) during fetal development

Rheumatic heart disease results from rheumatic fever which affects connective tissue

Page 38: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Occurs when the blood supply to the brain is interrupted

Thrombus – blood clot Embolus – free flowing clot Aneurysm – bulging or burst blood vessel Transient ischemic attack (TIA) – brief

interruptions that cause temporary impairment

Page 39: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

After an overnight fast, blood samples were obtained in the morning between 0800–0900 hours.  The plasma for glucose and insulin, serum for total cholesterol and leptin were separated 20 minutes after collection by centrifugation at a speed of 2000-3000 G for 10 minutes. Fasting plasma glucose, 1 hour; insulin within less than 30 minutes and serum total cholesterol concentrations were measured on the same day.Fasting plasma glucose level was measured on Selectra-2 (automated chemistry analyzer by Merck), using a GOD-PAP method.

Page 40: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Plasma insulin was analyzed, on an automated hormone analyzer Access 2 Beckman Coulter, using Chemiluminescence method. Serum total cholesterol levels were measured on Selectra-2 by CHOD-PAP method. Serum leptin samples were aliquoted, frozen at -20°C, for analysis later on. The quantitative determination of serum leptin was conducted by Enzyme-Linked Immunosorbent assay (ELISA) technique.

Page 41: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

PRINCIPLE: Glucose present in the given plasma sample is

oxidized by glucose oxidase to glucoronic acid with the liberation of hydrogen peroxide. The peroxidase present in the reagent converts hydrogen peroxide to water and nascent oxygen. The oxygen is accepted by 4-aminophenazone in the presence of phenol to give a pink colouredchromogen which shows maximum absorbance at 510nm. The intensity of the maximum absorbance of the solution is compared with the colour given by a standard glucose similarly treated.

Page 42: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

PRINCIPLE: Cholestrol esterase (CHE) hydrolyzes

cholestrol to free cholestrol and free cholestrol is oxidized by the cholestrol oxidase (CHO) to cholest-4-en-3-one and hydrogen peroxide. Hydrogen peroxide formed reacts with 4 amino antipyrine and phenol in the presence of peroxidase (POD) to produce pink coloured quinoneimine dyes. The intensity of colour produced is propotional to the cholestrol concentration in the sample

Page 43: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

PRINCIPLE The principle of the following enzyme immunoassay test

follows a typical two-step capture or‘sandwich’ type assay. The assay makes use of two highly specific monoclonal antibodies: A monoclonal antibody specific for leptin is immobilized onto the microwell plate and another

monoclonal antibody specific for a different epitope of leptin is conjugated to biotin.

During the first step, leptin present in the samples and standards is bound to the immobilized antibody and

to the biotinylated antibody, thus forming a sandwich complex

Page 44: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

. Excess and unbound biotinylated antibody is removed by a washing

step. In the second step, streptavidin-HRP is added, which binds specifically to any bound

biotinylated antibody. Again, unbound streptavidin-HRP is removed by a washing step.

Next, the enzyme substrate is added (TMB), forming a blue colored product that is directly

proportional to the amount of leptin present. The enzymatic reaction is terminated by the addition

of the stop solution, converting the blue color to a yellow color.

Page 45: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

The absorbance is measured on a microtiter plate reader at 450 nm.

A set of standards is used to plot a standard curve from which the amount of leptin in samples and controls can be directly read.

Page 46: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

The Insulin (Human) CLIA Kit is based on a solid phase enzyme-linked immunosorbent assay. The assay system utilizes one anti-Insulin antibody for solid phase (microtiter wells) immobilization and another anti-Insulin antibody in the antibody-enzyme (horseradish peroxidase) conjugate solution.

The standards and test specimen (serum) are added to the Insulin antibody coated microtiter wells. Then anti-Insulin antibody labeled with horseradish peroxidase (conjugate) is added.

Page 47: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

If human Insulin present in the specimen, it will combine with the antibody on the well and the enzyme conjugate resulting in the Insulin molecules being sandwiched between the solid phase and enzyme-linked antibodies.

After 1 hour incubation at room temperature, the wells are washed with water to remove unbound labeled antibodies.

Page 48: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

A solution of chemiluminescent substrate is then added and read relative light units (RLU) in a Luminometers.

The intensity of the emitting light is proportional to the amount of enzyme present and is directly related to the amount of Insulin in the sample. By reference to a series of Insulin standards assayed in the same way, the concentration of Insulin in the unknown sample is quantified.

Page 49: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Insulin resistance was calculated by Homeostasis Model Assessment for Insulin Resistance (HOMA-IR) equation. This mathematical model is a commonly used method to assess insulin resistance and ß-cell function and requires only fasting glucose and insulin levels. Mathews et al described the original HOMA model in 1985 with a formula for approximate estimation9:HOMA-IR = [Plasma glucose fasting (mmol/L) x Plasma insulin fasting (m IU/L)] / 22.5There is no agreed upon cutoff value for insulin resistance. A value > 2.5 was considered as evidence of insulin resistance. 

Page 50: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Homeostasis Model Assessment of beta cell function (HOMA-β) was also calculated by following formula:HOMA-β = 20 x fasting insulin / fasting glucose - 3.5 = %

Page 51: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.
Page 52: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

BMI had a strong relation to insulin resistance in the obese group. Mean insulin resistance in obese group was found to be 11.1 ± 5.1(range 7.0-16.2) and in non-obese group was 0.9 ± 0.4 (range 0.5-1.3). This difference was highly significant. Mean insulin resistance in obese group was 9.6 in males and 12.6 in females;

Page 53: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Beta cell function was determined by HOMA-β. Median of Beta cell function in obese group was found to be 301.4% and in the non - obese group it was 41.6%. There was a highly significant difference between the two groups in term of beta cell function with mean rank 60.1 for obese group  and 20.9 for non-obese group.

Page 54: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

In a non - obese group, mean serum total cholesterol was found lower 145 mg/dl (range 44-199 mg/dl) while in obese group it was higher 239 mg/dl (range 207-271 mg/dl). We also measured serum leptin levels which are indicative of adiposity. Mean serum leptin levels were lower (6.3 ng/ml) in non-obese, and high (57.2 ng/ml) in the obese group.

Page 55: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Comparison of baseline characteristics i.e. age, height, weight, BMI, fasting plasma glucose, fasting plasma insulin, insulin resistance and serum leptin levels of obese and nonobese groups,

They found index of insulin resistance > 2.0 in the obese group having insulin resistance; while in present study, we found it to be >2.5 in the obese group.

Other risk factors like hyper cholesterolemia and hyper leptinemia also accompanied hyper-insulinemia in obese group.

Page 56: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

1. Ji Won R. Lee, Frederick L. Brancati, Yeh HC. Trends in the prevalence of Type 2 Diabetes in Asians versus Whites; results from the United States National Health Interview Survey, 1997–2008. Diabetes Care February 2011 vol. 34 no. 2 353-357. Published online before print January 7, 2011, doi: 10.2337/dc10-0746. 2. J.E. Shaw, R.A. Sicree, P.Z. Zimmet. Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Research and Clinical Practice, 2010; 87: 4–14. Journal homepage: www.elsevier.com/locate/diabres.3. Wijenaike N 2011. Diabetes in people of South Asian origin in the UK. Available from: http://www.diabetesuffolk.com/ Understanding Diabetes/ Diabetes%20 in %20  South%20Asians.html.4. South Asia at Health Crossroads with High Rates of Heart Disease, Diabetes, and Obesity. Available from, http://go.worldbank.org /IYWVBWY950.5. Wallace T, Levy J, Matthews D. Use and abuse of HOMA modeling.  Diabetes Care 2004; 27 (6): 1487–95.

Page 57: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

6. Diabetes mellitus type 2. Available from:http://en.wikipedia.org/wiki/Diabetes_mellitus_type_2. Oct 2012.7. Brennan AM, Mantzoros CS. Drug Insight: the role of leptin in human physiology and pathophysiology--emerging clinical applications. Nat ClinPract Endo Metab. 2006 June; 2 (6): 318–27.8. WHO. Redefining obesity and its treatment. Available from http://www.who.int/nutrition/publications/obesity/09577082_1_1/en/index.html.9. Matthews DR, Hosker JP, Rudenski AS. Homeostasis Model Assessment: insulin resistance and B-cell function from fasting plasma glucose and insulin concentration. Diabetologia 1985; 28: 412–9.10. McAuley KA, Williams SM, Mann JL, Walker RJ, Lewis-Barned NJ, Temple LA, et al. Diagnosing insulin resistance in the general population. Diabetes Care 2001; 24:460–4.

Page 58: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

11. Muhammad H. Metabolic Syndrome and Insulin Resistance in Pakistan: a population based study in adults 25 years and above in Karachi. Available from:  http://urn.nb.no/URN:NBN:no-17884.12. Mokdad AH, Ford ES, Bowman BA, Dietz WH, Vinicor F, Bales VS, et al. Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001. JAMA 2003; 289(1): 76-9.13. Asher F, Rashida Q, Zafar IH, Basit A, Zahid M, Asma G. Correlation of fasting insulin resistance indices with clinical parameters of metabolic syndrome, in type 2 diabetic subjects. Pak J Med Sci. 2006, Oct - Dec; 22(4): 433-7.14. Toshio, Shiga N,   Taneda Y,  Umemura S. The fasting-plasma glucose range in which insulin resistance measured by homeostasis model assessment correlates with euglycemic clamping. J Jap Diab Society 1999; 42; 12: 1005-11.15. Ohnishi H,  Saitoh  S, Takagi S , Ohata J, Takeuchi H,Isobe T, et.al. Incidence of insulin resistance in obese subjects in a rural Japanese population: The Tanno and Sobetsu study. Diabetes, Obesity and Metabolism 2005; 7(1): 83 – 87.

Page 59: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

16. Panarotto D, Ardilouze JL, Tessier D, Maheux P. The degree of hyperinsulinemia and impaired glucose tolerance predicts plasma leptin concentrations in women only: a new exploratory paradigm. Metabolism 2000 Aug; 49(8): 1055-62. 17. Barzilai N, Wang J, Massilon D, Vuguin P, Hawkins M, Rosseti L. Leptin selectively decreases visceral adiposity and enhances insulin action. J Clin Invest. 1997; 100: 3105–10.18. Jiali W, Silvana O, Kimyata M, Nir B, Zhaohui F, Luciano R. Overfeeding rapidly induces leptin and insulin resistance. Diabetes 2001 Dec; 50 (12): 2786-91.19. National Cholesterol Education Program Adult Treatment Panel-III; definition of insulin resistance. Available from: http://www.nhlbi.nih.gov/guidelines/cholesterol/dskref.htm.20. Barzilai N, Wang J, Massilon D, Vuguin P, Hawkins M, Rosseti L. Leptin selectively decreases visceral adiposity and enhances insulin action. J Clin Invest. 1997; 100: 3105–10.

Page 60: Tanvir Ibrahim PhD Scholar (Biochemistry) UIBB, Arid Agriculture University, Rawalpindi.

Thank You


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