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SERUM HEART TYPE FATTY ACID BINDING PROTEIN (HFABP) AS AN EARLY MARKER OF MYOCARDIAL ISCHEMIA Dissertation Submitted for M.D DEGREE BRANCH - XIII [BIO CHEMISTRY] DEPARTMENT OF BIOCHEMISTRY K.A.P.V GOVT. MEDICAL COLLEGE, TRICHY-1. THE TAMILNADU DR.M.G.R MEDICAL UNIVERSITY, CHENNAI -32 APRIL 2017
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Page 1: SERUM HEART TYPE FATTY ACID BINDING PROTEIN (HFABP) …repository-tnmgrmu.ac.in/4819/1/201313417deepalakshmi.pdf · CERTIFICATE This is to certify that dissertation titled “SERUM

SERUM HEART TYPE FATTY ACID BINDING

PROTEIN (HFABP) AS AN EARLY MARKER OF

MYOCARDIAL ISCHEMIA

Dissertation Submitted for

M.D DEGREE BRANCH - XIII

[BIO CHEMISTRY]

DEPARTMENT OF BIOCHEMISTRY

K.A.P.V GOVT. MEDICAL COLLEGE,

TRICHY-1.

THE TAMILNADU DR.M.G.R MEDICAL UNIVERSITY,

CHENNAI -32

APRIL – 2017

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CERTIFICATE

This is to certify that dissertation titled “SERUM HEART TYPE FATTY

ACID BINDING PROTEIN (HFABP) AS AN EARLY MARKER OF

MYOCARDIAL ISCHEMIA” is a bonafide work done by

Dr.P.DEEPALAKSHMI under my guidance and supervision in the Department

of Biochemistry, K.A.P.V Govt. Medical College, Trichy-1, during her post

graduate course from 2014 to 2017.

Prof. Dr. S. MARY LILLY.M.D,(Path).,

THE DEAN,

K.A.P.V Govt. Medical College,

Trichy-1.

Dr. K. NIRMALADEVI.M.D.(Bio),D.C.H.,

PROFESSOR AND HOD,

Department of Biochemistry,

K.A.P.V Govt. Medical College,

Trichy - 1.

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GUIDE CERTIFICATE

The work done by DR.P.DEEPALAKSHMI on “SERUM HEART

TYPE FATTY ACID BINDING PROTEIN (HFABP) AS AN EARLY

MARKER OF MYOCARDIAL ISCHEMIA” is under my supervision and I

assure that this candidate has followed the rules of the Ethical Committee.

GUIDE : Dr. K. NIRMALADEVI, M.D.(Bio),D.C.H.,

THE PROFESSOR AND HOD,

DEPARTMENT OF BIOCHEMISTRY,

K.A.P.V GOVT. MEDICAL COLLEGE,

TRICHY - 1.

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DECLARATION

I, Dr.P.DEEPALAKSHMI hereby solemnly declare that the dissertation

titled “SERUM HEART TYPE FATTY ACID BINDING PROTEIN

(HFABP) AS AN EARLY MARKER OF MYOCARDIAL ISCHEMIA”was

done by me at K.A.P.V Govt. Medical College & MGMGH, Trichy under the

Supervision and Guidance of my Professor and H.O.D Dr. K.NIRMALADEVI,

M.D.(Bio),D.C.H. This dissertation is submitted to Tamil Nadu Dr. M.G.R

Medical University, towards partial fulfillment of requirement for the award of

M.D. Degree (Branch –XIII) in Biochemistry.

Place: Trichy

Date: DR.P.DEEPALAKSHMI

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ANTI – PLAGIARISM – ORIGINALITY REPORT

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ACKNOWLEDGEMENT

I am thankful to the Almighty who is always. I am extremely grateful

toProf.Dr.S.MARY LILLY, M.D (Path)., The Dean, K.A.P.V.Govt. Medical

College for permitting me to do this dissertation at MGMGH, Trichy. I am

indebted greatly to my Professor and Head of the Department,

Dr. K. NIRMALADEVI, M.D.(Bio),D.C.H., Department of Biochemistry, who

had inspired, encouraged and guided me in every step of this study.

I express my heartiest thanks to Dr.A.ARSHIYA BEGUM M.D.,

Additional Professor of Biochemistry, K.A.P.V.Govt.Medical College. I express

my sincere gratitude to DR.P.KANAGARAJ. M.D., former Professor and H.O.D,

Department of General Medicine and Dr.T.BALASUBRAMAINAN. M.D., D.M

(Cardio)., Associate Professor of Cardiology, MGMGH, for their valuable help.

I also express my heartiest thanks to Dr.R.PANIMATHI,M.D(Bio),

D.C.H., former Associate Professor of Biochemistry, K.A.P.V.Govt. Medical

College for her help and suggestions for performing my study. I would like to

thank DR.P.SELVAM, M.D., Assistant Professor, Department of Community

Medicine, K.A.P.V.Govt. Medical College, for his help in statistical analysis and

successful completion of my dissertation.

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I would like to thank all the Assistant Professors, Department of

Biochemistry, K.A.P.V.Govt. Medical College for their help and support during

my study.

I owe my thanks to my co-post graduates for their support during the

study. I would like to acknowledge the assistance rendered by the Technical staffs

who helped me to perform the study.

I am grateful to all my patients and volunteers who participated in this

study. I owe my special thanks to my family members for their moral support in

conducting the study.

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CONTENTS

S No PARTICULARS PAGE NO.

1 INTRODUCTION 1

2 REVIEW OF LITERATURE 3

3 AIMS AND OBJECTIVES 28

4 MATERIALS AND METHODS 29

5 RESULTS AND STATISTICAL ANALYSIS 56

6 DISCUSSION 83

7 CONCLUSION 86

8 LIMITATIONS OF THE STUDY 87

9 SCOPE FOR FUTURE STUDY 88

10 ANNEXURES

1. Bibliography 89

2. Proforma

3. Consent Form

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ABBREVIATIONS

ACS ACUTE CORONARY SYNDROME

AMI ACUTE MYOCARDIAL INFARCTION

AST ASPARTATE TRANSAMINASE

BMI BODY MASS INDEX

CAD CORONARY ARTERY DISEASE

CK-MB CREATININE KINASE- MB ISOFORM

DM DIABETES MELLITUS

ECG ELECTROCARDIOGRAM

FABP FATTY ACID BINDING PROTEIN

HDL HIGH DENSITY LIPOPROTEIN

HFABP HEART TYPE FATTY ACID BINDING PROTEIN

HT HYPERTENSION

IHD ISCHEMIC HEART DISEASE

LDL LOW DENSITY LIPOPROTEIN

MI MYOCARDIAL INFARCTION

NSTEMI NON ST ELEVATED MYOCARDIAL INFARCTION

PAI-1 PLASMINOGEN ACTIVATOR INHIBITOR-1

PPAR PEROXISOME PROLIFERATOR ACTIVATED RECEPTORS

STEMI ST ELEVATED MYOCARDIAL INFARCTION

TGL TRIGLYCERIDE

UA UNSTABLE ANGINA

WHO WORLD HEALTH ORGANIZATION

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INTRODUCTION

Cardiovascular Disease is a major health problem across the world. By

the year 2020, one in every three deaths will be due to CVD.1 Eighty

Percentage of total deaths in developing countries are due to cardiovascular

disease.2 Ischemic Heart Disease is the most common cause of cardiovascular

morbidity and mortality.

IHD occurs due to the imbalance between the oxygen supply and

oxygen demand of the myocardium. The manifestations of IHD are Angina

Pectoris, Unstable Angina Pectoris, Myocardial Infarction, Heart failure and

sudden cardiac death.3 Patients may have transient underlying pathology before

the signs and symptoms of AMI become apparent.

Early detection of AMI at the ischemic stage is important to prevent

morbidity and mortality. The diagnosis of AMI is based on history, clinical

examination, electrocardiogram and biochemical markers. ECG is not

sufficient to diagnose the IHD since ST segment changes can also be observed

in other conditions.4 Cardiac markers are also important in the diagnosis of

AMI. Myoglobin, CK-MB, Cardiac Troponin- T and Troponin-T are the

currently used biochemical markers for diagnosing IHD.

Detection of AMI in the early hours by these markers is not

satisfactory,5 since these markers tend to elevate only after 6 hours of onset of

injury. Even though myoglobin level increases within 2 hours, the specificity of

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myoglobin towards the myocardium is low. Recent data show that H-FABP is a

sensitive indicator of ischemia, increases earlier than other cardiac markers.6 It

is also possible to detect the myocardial damage soon as an hour after onset of

injury by H-FABP level. It’s level is elevated early in the ischemic stage.7

Diagnosing AMI at this stage helps in preventing the progression of disease. Its

diagnostic accuracy may be better than other cardiac markers in the early

stages.

This study is done to determine the efficacy of H-FABP and CK-MB in

the early diagnosis of MI patients admitted with complaints of chest pain.

Serum H-FABP level is estimated and correlated with CK-MB and Lipid

profile.

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REVIEW OF LITERATURE

The concept of cardiovascular continuum is a chain of events connecting

cardiovascular risk factors with progressive development of pathological

changes which include tissue remodelling finally cardiac failure and death.8

Coronary Heart Disease has been defined as impairment of heart function due

to inadequate blood flow compared to its need.

Epidemiology

Epidemiological transition is driven by industrialization, urbanization

and associated life style changes and it is taking place in every part of the

world. India is experiencing an alarming increase in heart disease. IHD is

growing among low income groups. Population subgroups that appear to be

particularly affected are men in south Asian countries especially India and

Middle East.9 While the incidence of coronary artery disease has reduced by

50% in the west, in India, it has doubled in the last 25 years. The presence of

coronary artery disease in the years 1960, 1980, 1990 and 2000 progressively

increased from 2%, 4 to 6%, 9.5% and 10 to 15% respectively. In the rural side,

CAD prevalence increased 2 fold from 2 to 4 % and in urban India it has

increased 3 fold from 3.45% to 9.45%.10

WHO has predicted from the year 2000 to 2020, DALYS (Disability

Adjusted Life Years Lost) from CHD in India shall double in men and women

from 7.7 and 5.5 million respectively.11

At the beginning of 21st century,

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cardiovascular disease accounted for nearly half of all the deaths in the

developed and 25% in the developing world.12

Risk Factors

The epidemiology of global heart disease reflects inequalities in risk

factor prevalence.

Non modifiable risk factors or Immutable risk factors:13

1. Age

2. Sex

3. Ethnicity

4. Family history

5. Genetic factors

6. Type A Personality

Modifiable risk factors:

1. Hypertension

2. Diabetes mellitus

3. Elevated total Cholesterol and LDL

4. Tobacco chewing

5. Alcohol

Life style risk factors:

1. Obesity

2. Physical inactivity

3. Atherogenic diet

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Emerging or non-traditional risk factors:

1. Pro-thrombotic factors- e.g.: fibrinogen, PAI

2. Pro inflammatory factors

3. Impaired fasting Glucose

4. Subclinical atherosclerosis

5. Elevated Homocysteine

Casual risk factors:

1. Lipoprotein(a)

2. Apolipoprotein

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CORONARY RISK FACTOR FOR ASIAN INDIANS14

FIXED MODIFIABLE

NON- LIPID MODIFIABLE LIPID

MODIFIABLE

LIPOPROTEIN

RATIO

Male age

>35years

Hypertension Total cholesterol>

150 mg/dl

TC/HDL > 4.5

Smoking LDL/HDL >3.5

DM/Insulin resistance

Syndrome

TGL > 150 mg/dl Apo A/Apo B<1.2

Female

age>45years

LDL > 100 mg/dl

BMI > 23 HDL < 40mg/dl in

Homocysteine>

10 mmol / L

males

Family

history of

premature

CHD<55rs

HDL < 50mg/dl in

High PAI >8560

pg/mL

females

Apo A lipoprotein<

100mg/dl

Immutable Risk Factor

Age:

The peak period for coronary heart disease is between 40 to 60 years.15

But it is often detectable in young men between 20 to 30 years of age.16

Sex:

Incidence of IHD is more common in men when compared to women.

Due to estrogenic effects, occurrence of IHD is low in premenopausal women.

After menopause the risk increases up to the level of men.17

Oral intake of

contraceptive pills in premenopausal women increases the risk of IHD by

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accelerating Hypertension. Oral contraceptive pills have dose related effects on

Blood Pressure. This effect is due to Oestrogen induced increase in renin

substrate.18

Family History:

First degree relatives are at more risk. IHD in males less than 45 years,

females less than 55 years increases the risk of premature death.19

Genetic History:

Genetic predisposition to coronary heart disease is polygenic.

Psychosocial Factor:

Stress, loneliness and social deprivation have major influences on

cardiac disease. Type A behaviour includes time conscious, in-secureness,

being impatient, incapable of relaxation, competitive, aggressive have double

the risk of CAD when compared to normal healthy individuals.20

Modifiable Risk Factors

Hypertension:

Hypertension is an independent risk factor for atherosclerosis. In

persons aged 35 to 65 years, hypertension causes 2 to 4 fold increase of

atherosclerotic events. When BP exceeds 140/90 mmHg, there is 5 fold

increase of CAD.21

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Diabetes mellitus:

Diabetics are more prone to IHD than non-diabetics by 2 to 3 times.

Endothelial dysfunction and persistently activated thrombogenic pathway and

impaired fibrinolysis in diabetic individuals favour IHD.22,23

Thirty Percentage

to 50% of death in diabetics over the age of 40 years in industrialized countries

are due to DM.24,25

Tobacco chewing:

The risk of CHD is related to number of cigarettes smoked per day.

Smokers- 1 pack/day have 3 to 5 times more death risk than non-smokers.26

1. Nicotine increases the cardiac demand by stimulating the release

of catecholamines.

2. Carbon monoxide induces atherosclerosis and relative

hypokalaemia.

3. Dyslipidaemia- decreased HDL and increased LDL.

4. Nicotine decreases the myocardial oxygen supply by inducing

vasospasm and platelet aggregation.

5. Enhances the coagulability and inflammatory state.

Alcohol intake:

Intake of 75g or more per day becomes an independent risk factor for

IHD.27

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Lifestyle Risk Factors

Obesity:

Greater the weight gain (BMI >30kg/m2) greater is the risk of

Hypertension, CHD and insulin resistance Diabetes Mellitus. Atherosclerosis is

more common in android type of obesity.28

Physical Inactivity:

Sedentary life style with reduced physical activity leads to an early

development of CHD. Exercise helps in the formation of collateral vessels and

increases the HDL-C.29

Atherogenic Diet:

Fewer intakes of vegetables, fruits and Poly Unsaturated Fatty Acids

(PUFA) increases the risk of CHD. Supplementation of Vitamin E, β Carotene,

Folate and ω3 fatty acids reduces the risk.

Non Traditional Risk Factors

Homocysteine:

Homocystinuria- latest in the series of inborn error of metabolism is

autosomal recessive in nature. It is due to defect in methionine metabolism.

Deficiency of the enzyme Cystathionine Beta Synthase (CBS) leads to

increased homocysteine level in blood.30

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CBS

Homocysteine + Serine Cystathionine

PLP

Increased homocysteine causes increased platelet adhesiveness and life

threatening intravascular thrombosis which leads to early atherosclerosis and

young Myocardial Infarction.31

Lipoprotein (a)

It is a glycoprotein of structural homology with plasminogen. Higher

levels of lipoprotein (a) compared to other ethnic groups have been recorded in

Asian Indians.32, 33

Prothrombotic Factors

Increased level of fibrinogen increases the risk of CAD.34

Ischemic Heart Disease

The most frequently recognized cause of myocardial ischemia is

atherosclerotic disease of epicardial coronary artery sufficient to cause a

regional reduction in myocardial blood flow and inadequate perfusion of the

myocardium supplied by involved coronary artery. Atherosclerosis either

occludes or narrows the vessel lumen primarily or may secondarily induce a

coronary thrombus. IHD can manifest as chronic stable angina or CAD. CAD

includes STEMI, NSTEMI and unstable angina pectoris.

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Etiology of IHD

Main cause of ischemia is reduction in blood supply and increase in

oxygen demand.35

Causes of reduced blood flow:

1. Atherosclerosis

2. Coronary spasm

3. Arterial thrombi

4. Coronary emboli

5. Ostial narrowing due to arteritis.13

Increased oxygen demand:

1. Aortic stenosis which causes severe left ventricular hypertrophy.

2. Carboxy haemoglobin which reduces oxygen carrying capacity.

Pathogenesis of Atherosclerosis

Atherosclerosis is not a single disease entity. The process of

atherosclerosis begins in childhood with the development of flat lipid rich

lesions caused by fatty streaks. Atherosclerosis is a chronic inflammatory

disorder of the intima of large and medium sized arteries characterized by

recruitment of monocytes and T-lymphocytes and induction of fibrosis with

smooth muscle cell proliferation and matrix synthesis.36

Modified response to

injury hypothesis explains the initiation and development of atherosclerosis.

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Modified Response To Injury Hypothesis37

1. Adhesion of monocytes to the endothelium followed by migration into

the intimal layer and transformation into macrophages and foam cells.

2. Lipoproteins, mainly LDL and its oxidized form get accumulated in the

vessel wall.

3. This leads to the formation of fatty streaks which disrupts the

endothelium.

4. Adhesion of platelets.

5. Recruitment of smooth muscle occurs due to the factors released from

activated platelets, macrophages and vascular cell wall.

6. Proliferation of smooth muscle and production of extracellular matrix.

7. Accumulation of lipids occurs both extracellular and intracellular.

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PIC 1: PATHOGENSIS OF ATHEROSCLEROSIS

Modified lipoprotein triggers a local inflammatory response which leads

to the migration of monocyte derived macrophages and lymphocytes,

converting them to foam cells, mediated by cytokines IL-1 (Interleukin-1) and

TNF (Tumour Necrosis Factor).38,39

Activated leukocytes and vascular wall

cells release growth factor.40,41

Inflammatory markers like CRP-C reactive

protein, Interleukin 6, Myeloperoxidase well correlates with the risk of IHD.42

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Acute Changes of Plaque

Acute changes of plaque include rupture, fissuring, ulceration which

leads to exposure of thrombosed plaque constituents or underlying sub

endothelial basement membrane. Intra plaque haemorrhage leads to expansion

of plaque volume and causes obstruction.43

Pic 2: Acute Changes of Palque

Thrombotic Occlusion

Rupture of thin fibrous cap causes thrombosis which leads to unstable

angina.44

The site of plaque rupture form the nidus for thrombi by allowing

blood coagulant factors to contact thrombogenic collagen found in the arterial

extracellular matrix and tissue factor produced by macrophage derived foam

cells in the lipid core of the lesion.

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Pathophysiology of IHD:

The extend and irreversibility of myocardial damage depend on

1. The metabolic needs of the under perfused tissue.

2. Existing collateral vessels

3. Location, severity, duration and rate of development of arterial

occlusion.45

Pic 3: Pathogensis of Coronary Artery Disease

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Stable Angina

Stable angina is due to fixed atheromatous plaque which causes stenosis

of one or more coronary arteries which causes reduction in blood flow.46

Seventy Percentage to 75% or more obstruction of the vessel lumen causes

symptomatic angina. It is characterized by exertional chest pain and is relieved

by rest.

ECG findings

May be normal but sometimes show ST segment depression on

Treadmill ECG.

Acute Coronary Syndrome

Spectrum of disease that encompasses ischemia with minimal

myocardial damage.47

Myocardial damage includes myocardial infarction and

unstable angina. The precipitating event is alteration in the structure of plaque

which leads to the development of thrombus on the ulcerated or cracked

atherosclerotic plaque. The episodes of plaque disruption may result in episodic

ischemic symptoms with minimal myocardial damage.48

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BOX 1: CLASSIFICATION OF ACS

Unstable Angina

This is due to dynamic obstruction of a coronary artery due to plaque

rupture with super imposed thrombosis and spasm.49

It is characterized by new

onset or rapidly worsening angina, angina on minimal exertion or at rest.

ECG Findings

1. ST depression.

2. Transient ST elevation

3. T wave inversion in 30 to 50 % of patients

4. No elevation of cardiac bio markers such as CKMB and Troponin.

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Myocardial Infarction

This term is applied to myocardial necrosis secondary to an acute

interruption of blood supply. Occlusion of blood flow leads to cardiac myocyte

death via oncotic and apoptotic pathways. This leads to acute exudative

inflammation with neutrophil and monocyte invasion. Tissue repair occurs via

the activation of supportive stromal cells including fibroblast and endothelial

cells. Inflammatory reactions gradually resolve and granulation tissues,

leukocytes, fibroblasts and vascular cells undergo apoptosis. This results in a

cellular scar devoid of contractile function which leads to compensatory

dilatation and remodelling of left ventricles.

ECG Findings of STEMI:

1. ST segment elevation

2. Q wave formation

3. Elevated cardiac biomarkers.

NSTEMI

This is due to partially occluded thrombus forming on a disrupted

atherosclerotic coronary plaque or on eroded coronary artery endothelial cells.

Myonecrosis occurs without elevation of ST segment.50

Cardiac bio markers

CKMB and Troponin will be elevated.

ECG Findings:

1. T wave inversion and ST depression exceeding 2 mm but no ST elevation.

Formation of new and deep T waves (≥0.3mV).

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Cardiac markers will be elevated in both STEMI and NSTEMI. The

biomarkers commonly used are CK-MB, Troponin I, and Myoglobin. Even

though Myoglobin level increases within 2 hours, its specificity towards

myocyte is very low. CK-MB rises within 4 to 8 hours, peaks at 12 to 24 hours

and returns to normal level by 48 – 72 hours. Troponin tends to elevate 4 to 10

hours after the onset of symptoms, peaks at 12-48 hours and reaches the normal

level by 4 to 10 days. HFABP which is a cardiac specific marker tend to

elevate earlier than other markers.6

Pic 4: Relationship Among Acute Coronary Syndrome, Inflammation,

Ischemia And Chronic Heart Failure with Atherosclerosis

From Update on Cardiac markers by Eileen Carreiro – Volume 37, No.10

October 2006, lab medicine

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FATTY ACID BINDING PROTEINS (FABPs)

FABPs belong to multigene family. They are highly conserved cytosolic

proteins with a molecular mass of 14 to 15 K Da. One to 5% of all soluble

cytosolic protein is made up of FABPs.51

They are ubiquitously expressed in all

the tissues but differ in stoichiometry, affinity and specificity towards ligand.

They are abundant in tissues with active Fatty Acid metabolism.52

They have

high affinity towards long chain fatty acids and hydrophobic ligands.

Mammalian family includes 9 types of FABPs.

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Isoforms of Fatty Acid Binding Proteins:53

Approved

Symbol

Approved Name

Previous

Symbols

Synonyms

Chromosome

FABP1

Fatty acid binding protein

1, liver

L-FABP

2p11

FABP2

Fatty acid binding protein

2, intestinal

I-FABP

4q28-q31

FABP3

Fatty acid binding protein3,

muscle and heart(mammary

derived growth inhibitor)

MDGI,

FABP1

H-FABP,

O-FABP

1p33-p32

FABP4

Fatty acid binding protein4,

adipocyte

A-FABP,

8q21.13

FABP5

Fatty acid binding protein5

(psoriasis-associated)

E-FABP, PA-

FABP,

KFABP

8q21.13

FABP6

Fatty acid binding protein

6, ileum.

I-15P,

ILLBP,I-

BAP, ILBP3,

I-BABP,

ILBP,

I-BALB

5q23-q35

FABP7

Fatty acid binding protein

7, brain

B-FABP,

BLBPs

6q22-q23

FABP9

Fatty acid binding protein

9, testis

PERF,

T-FABP,

PERF15

8q21.13

FABP12

Fatty acid binding protein

12

8q21.13

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Structure

All FABP family members have 20 to 70% sequence homologies. But

they differ in their tertiary structure.54,55

The divergent sequence among family

members confer difference in protein - protein interaction and different ligand

binding properties depending on their cellular location.56

All FABPs exhibit complicated tertiary structures and their 10 anti-

parallel β strands are organized into 2 orthogonal β sheets, which form a

slightly elliptical β barrel with two 8 to 10 residue helixes that links the first 2 β

strands together.57

Ligand binding cavity extends from the helix turn helix

motif which act as a portal for Fatty Acid access and egress.58

The helical N

terminus is involved in the Fatty acid transfer via electrostatic interaction.53

Pic 5: Apo and Holo FABP3

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Functions

FABPs act as a carrier protein for fatty acid transport and other

lipophilic substances from the cytoplasm to nucleus via nucleus receptors such

as Peroxisome Proliferator Activated Receptors (PPARs).59

Peroxisome Proliferator Activated Receptors (PPARs):

PPARs are nuclear receptors. They are transcription factors, affect many

metabolic processes in response to a variety of fatty acid like ligands.60

It

activates the gene essential for fatty acid oxidation including fatty acid

transporter. This response is triggered when a cell or organism has an increased

demand for energy for fat metabolism. FABPs bind with Fatty acids through

the ligand binding cavity and helps in intracellular uptake. There are three

types of PPARs- α, β, and γ. This α receptor which is present in Liver, Heart,

Kidney, Skeletal muscle and Brown adipose tissue is involved in the

metabolism of fat.61

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Pic 6: Mechanism of Action of HFABP

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Heart Type Fatty Acid Binding Protein (HFABP, FABP 3)

HFABP is a small intracellular cytoplasmic protein consists of 132

amino acids. It weighs about 14.5 K Da and is water soluble.62

Molecular genetics

FABP3 gene is located at chromosome 1 p33-p31. The overall genetic

structure of FABPs consist of 4 exons separated by 3 introns. The position of

exons and introns are same in all FABPs but the length of introns varies in

isoforms. The length of intron-1 in FABP3 is 3.4 kb. The distinct distribution

of HFABP is regulated by concise promoter regions within the gene. The 1.2

Kb promoter region is required for tissue specific expression of HFABP in

heart.63

The same gene is also expressed in the mammary gland in a highly

regulated manner, where it was initially named as Mammary Derived Growth

Inhibitor (MDGI). Its function is to arrest growth of mammary epithelial cells

and it is a tumour suppressor for human breast cancer.

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Pic 7: Heart Type Fatty Acid Binding Protein (HFABP)

Distribution

Among the HFABPs, heart type of FABP is most widely distributed. It is

found in heart, skeletal muscle, smooth muscle, mammary epithelial cells, aorta,

distal tubules of kidney, lung, brain, placenta and ovary.64

The concentration of

HFABP is 10 fold lower in skeletal muscle than cardiac muscle, and the amount

in kidney, liver and small intestines are lower again.65, 66

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Functions

It is involved in the intracellular uptake and buffering of free fatty acids

in the myocardium.67

It has diverse role in fatty acid metabolism, trafficking

and signalling. The continuous and profound demand of cardiac muscle

contraction are associated with a wide range of specialized metabolic

adaptations which includes preferential use of fatty acids as energy substrate.68

HFABP binds long chain fatty acids, their acyl and carnitine derivatives with

1:1 stoichiometry and high affinity.69,70

It helps in the uptake of fatty acids and

energy production.

Clinical Significance

HFABP is abundant in myocardium and rapidly released from

cardiomyocytes into blood. It appears in plasma within 2 hours of cardiac

damage, peaks within 4 to 6 hours and returns to normal basal level by 20

hours.71

Because of its low molecular weight, relative tissue specificity and

high myocardial content, this marker is released earlier than other markers.

HFABP is the earliest biomarker available for acute myocardial injury.72

It has

been proven to be an independent prognostic marker in patients with MI.73

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AIMS AND OBJECTIVES

Aims

To estimate the serum level of Heart type Fatty Acid Binding Protein

(H-FABP) in Patients within 6 hours of onset of chest pain.

Objectives

1. To correlate H-FABP Level with CK-MB

2. Correlation of H-FABP with Lipid Profile

1. Total cholesterol

2. High density Lipoprotein(HDL)

3. Low density Lipoprotein (LDL)

4. Very Low density Lipoprotein (VLDL)

5. Triacylglycerol (TAG)

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MATERIALS AND METHODS

After getting approval from the Institutional Ethical Committee, this

study was conducted at K.A.P.V. Govt. Medical College and MGMGH,

Tiruchirappalli during the period of June 2015 to June 2016.

This age matched cross sectional study included 90 subjects with age

limit of 30 to 60 years. Out of 90, 45 were study group, 45 were control group.

Study group were selected from patients admitted with in ICCU with

complaints of chest pain and diagnosed to have coronary artery disease and 45

healthy individuals as controls. Informed and written consent were obtained

from both study and control group.

Inclusion Criteria

1. Chest pain of duration less than 6 hours

2. ECG showing abnormal ST-T Segment changes- ST elevation or

depression, T wave inversion

Exclusion Criteria

1. Hepatic disease

2. Renal disorders

3. Heart failure

4. Pulmonary oedema

5. Cardiomyopathy

6. Stroke

7. Patient underwent CABG, Coronary Angioplasty within 30 days.

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Sample Collection

Under aseptic precautions, 4 ml of blood was collected in a tube

containing procoagulant from study and control group by venepuncture. Blood

samples were centrifuged at 1000 X g for 15 minutes. Serum were separated

from the cells and divided into two portions.

One portion of serum was used for measuring serum Urea, Creatinine,

Uric acid, Aspartate Transaminase and CK-MB. Another portion of serum was

stored at -19°C for estimation of H-FABP.

Fasting blood samples were collected from patients and controls for the

estimation of serum Glucose, Total Cholesterol, Triglycerides and HDL.

Analysis

The following parameters were estimated by using ELISA reader, Fully

and Semi Automated Analysers.

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S.NO ANALYTE METHOD

1

Heart type of Fatty Acid Binding Protein

(H-FABP)

ELISA

2 CK-MB

Immuno Inhibition

Method

3 FBG

Trinders, Endpoint, Fixed

time

4 Urea Urease GLDH Method

5 Creatinine Jaffe’s Kinetic Method

6 Aspartate Transaminase UV Kinetic Method

7 Uric acid Uricase Method

8 Total Cholesterol CHOD-PAP Method

9 Triglyceride GPO-PAP Method

10 HDL-C

Selective inhibition

Method

(Direct Method)

The following parameters were calculated by using FRIEDEWALDS formula.

VLDL = TGL / 5

LDL = TC – (HDL + TGL / 5)

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1. Human serum Heart type Fatty Acid Binding Protein (HFABP)

Estimation:

Principle:

HFABP was measured by Quantitative Sandwich Elisa Method.

Antibody specific for HFABP coated wells were supplied. Sample and

standards were added into the wells. The antigen present in the samples bound

with the antibody and formed antigen antibody complex. Second antibody-

Biotinylated antibody was added into the wells. This biotinylated antibody

bound with antigen antibody complex, produces sandwich. Unbound

biotinylated antibodies were washed away. HRP-Conjugated streptavidin was

added. This enzyme bound with the sandwich complex. TMB Substrate was

added. The enzyme bound with antigen antibodies complexes reacted with the

substrate, produces colour. Stop solution was added finally. The intensity of

colour is directly proportional to the concentration of antigen present in the

sample.

Reagents:

1. FABP-3 Microplate ------------ 96 wells (12 strips x 8 wells) coated

with anti- Human FABP-3.

2. Wash Buffer Concentrate ------------ 25 ml of 20X concentrated solution

3. Standard Protein ------------- 2 vials of Human HFABP

4. Detection Antibody FABP-3 ----------- biotinylated antihuman HFABP

5. HRP-Streptavidin Concentrate --------- 200 µl 600X concentrated HRP-

conjugated Streptavidin

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6. TMB One-Step Substrate Reagent -------- 3, 3, 5, 5'-tetramethylbenzidine

(TMB) in buffer solution.

7. Stop Solution -------- 8 ml of 0.2 M sulfuric acid.

8. Assay Diluent D -------- 15 ml of 5x concentrated buffer.

9. Assay Diluent B -------- 15 ml of 5x concentrated buffer.

Storage

The entire kit was stored at -20°C.

Reconstituted reagents – detection antibody concentrate, HRP-

Streptavidin concentrate, Assay Diluent D and Assay Diluent B were stored at

4°c.

Sample collection and storage

Serum separator tube was used to collect samples. Centrifugation done

and serum was separated and stored at <-20°C. Repeated freeze thawing was

avoided.

Reagent preparation

All the reagents were brought to the room temperature before being

used. Wash buffer was brought to room temperature and waited till the crystals

had dissolved. Brief spin was applied to standard protein vial, HRP-

Streptavidin concentration and detection antibody vial before used.

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Preparation of Assay Diluent –D

15 ml of 5x concentrated buffer was given. 1X buffer was needed. By

using the formula C1V1=C2V2 , 5 mL of 5X Concentrated buffer was added

with 20mL of Distilled water to make 1X buffer of 25mL.

Preparation of wash buffer

25 ml of 20X concentrated solution was given. 25mL of 20X

concentrated wash buffer was added with 475mL of distilled water to make 500

mL of 1X wash buffer.

Preparation of HFABP standards

Brief spin was applied to standard protein vial. 400µl of 1X Assay

Diluent –D was added into standard protein vial and mixed thoroughly to

prepare 200 ng/ml stock solution(standard 7).6 Eppendorf tubes were taken

and numbered from 1 to 6. 300µl of 1X Assay Diluent was added to each

Eppendorf tubes. 100µl was taken from stock solution and added to tube no 6

to make 400µl of concentration 80ng/ml. 200µl was taken from tube no 6 and

added to tube no 5 to make a concentration of 32ng/ml. 200µl from tube no 5

was transferred to tube no 4(12.8ng/ml). Then 200µl from tube 4 to tube 3,

from tube 3 to tube 2 with concentration of 5.12ng/ml and 2.05 ng/ml

respectively. The tube 1 contained 300 µl of Assay Diluent-D only, which

served as a blank (0ng/ml).

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Standards Assay Diluent-D Final

concentration

Standard protein

vial

(standard 7 )

Powder 400 µl 200 ng/ml

S6 200 µl of S7 300 µl 80 ng/ml

S5 200 µl of S6 300 µl 32ng/ml

S4 200 µl of S5 300 µl 12.8 ng/ml

S3 200 µl of S4 300 µl 5.12 ng/ml

S2 200 µl of S3 300 µl 2.05 ng/ml

S1 -------- 300 µl 0 ng/ml

Preparation of Assay Diluent- B

15ml of 5X concentrated buffer was given. 5 ml of 5X concentrated

buffer was added with 20 ml of Distilled water to make 25 ml of 1X Assay

Diluent-B

Preparation of Detection Antibody Concentrate

Antibody concentrate was prepared by adding 100 µl of Assay Diluent-

B to detection Antibody vial. Antibody concentrate was 80 fold diluted. 100µl

of Antibody concentrate was added with 7900µl of Assay Diluent – B.

Preparation of HRP-Streptavidin concentrate vial

200µl of 600X concentrated HRP-Streptavidin was supplied. 20µl of

HRP-Streptavidin was added with 11.880µl of Assay Diluent-B to make a final

concentration of 1X of 12 ml.

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Assay procedure

1. All reagents and samples were brought to room temperature.

2. Excess micro plate strips were removed from the plate frame, returned

to the plastic pouch with the desiccant pack.

3. 100 µl of each standard and samples were added into the wells.

4. Covered and incubated at room temperature for 2.5 hours with gentle

shaking.

5. Each well was Aspirated and washed with 1X wash buffer, for a total of

four washes. Liquid in the wells were completely removed after each

wash for good performance. After the last wash, the remaining buffer

was aspirated. Then the plate was inverted and blotted against clean

paper towels.

6. 100 µl of 1X prepared biotinylated antibody was added and incubated

for 1 hour at room temperature with gentle shaking.

7. Wash step was repeated.

8. 100 µl of prepared HRP conjugated Streptavidin solution was added and

incubated for 45 minutes at room temperature with gentle shaking.

9. Wash step was repeated as in step 5.

10. 100 µl of TMB substrate reagent was added, covered and incubated for

30 minutes at room temperature with gentle shaking.

11. 50 µl of stop solution was added. The optical Density was measured at

450nm immediately.

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Data Analysis

Mean absorbance for standards and samples were obtained and plotted

on log-log graph paper with standard concentration on the X-axis and

absorbance on the Y axis.

Normal value of HFABP

The normal reference range is 0 to 6 ng/ml.

Cut-off value for AMI is >19 ng/ml.

HFABP

STANDARDS

Concentration

(ng/ml) Absorbance

S1 0 0.438

S2 2.05 0.595

S3 5.12 0.643

S4 12.8 0.675

S5 32 0.789

S6 80 0.976

S7 200 1.238

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Graphical representation of HFABP Standard Concentration against its

Absorbance as in LOG LOG chart

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Estimation of Serum Creatine Kinase – MB:

Methodology: Kinetic Immune Inhibition Method

Principle:

This procedure involves measurement of CK activity in the presence of

antibody to CK – M monomer. This antibody completely inhibits the activity of

CK – MM and half of the activity of CK – MB while not affecting B subunit

activity of CK – MB and CK – BB .Then the CK method is used to

quantitatively determine CK – B activity. The CK – MB activity is obtained by

multiplying the CK – B activity by two.

Creatine kinase

Creatine phosphate + ADP Creatine + ATP

Hexokinase

ATP + D – glucose Glucose -6-Phosphate + ADP

G-6-PD

Glucose -6-Phosphate + NADP + H+ Glucose-6-Phosphate+ NADPH

G-6-PD- Glucose -6-Phosphate dehydrogenase

Sample : non- haemolysed samples.

Reagents :

Reagent 1 – Buffer / enzymes and Anti human polyclonal CKM

antibody (sheep)

Reagent 2 – creatine phosphate, ADP, G-6-PD

Reagent Reconstitution – Reagents were allowed to attain the room

temperature. 4 volume of Reagent 1 was added to 1 volume of Reagent 2.

Direct exposure to light was avoided.

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Procedure

Test

Reconstituted Working Reagent 1000 µl

Sample 40µl

Reagents were mixed well and incubated at 37 c for 100 seconds.

The absorbance change per minute was read during 5 minutes.

Absorbance was read at 340 nm.

Calculation

CK-MB activity (U/L) = OD/min X 8254

Reference values – Serum – 0 – 24 U / L

Linearity- 600U/L

Estimation of Glucose

Method : Glucose oxidase – peroxidase (GOD-POD) method.

Analysis : End Point Analysis

Principle : Glucose is oxidized to yield gluconic acid and hydrogen

peroxide in the presence of glucose oxidase. Hydrogen

peroxide oxidatively couples with 4-amino antipyrine and

phenol to produce red quinoneimine dye in the presence of

peroxidase. This red dye has maximum absorbance at

505nm. The intensity of the coloured complex is directly

proportional to the concentration of glucose in specimen.

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D-Glucose + O2 + H2O Gluconic acid + H2O2

H2O2 + 4- amino antipyrine + Phenol red dye + H2O

Specimen: Fresh non haemolysed serum

Assay Procedure

Enzyme reagent and standard were brought to the room temperature

before performing the assay.

Reagents Blank Standard Sample

Glucose enzyme reagent 1000µl 1000µl 1000µl

Standard - 10µl -

Sample - - 10µl

Distilled water 10µl - -

The tubes were mixed thoroughly and incubated at 37°C for 10 min. The

absorbance was read against reagent blank at 505nm.

Calculation

Absorbance of test

Glucose (mg/dl) = X Concentration of standard (mg/dl)

Absorbance of standard

Glucose Standard : 100mg/dl

Linearity : Up to 500mg/dl

Normal Values : 90-120mg/dl

Glucose fasting : 60-100mg/dl

Glucose postprandial : 90-140mg/dl

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Estimation of Blood Urea

Method: Urease – GLDH Method

Principle:

Urea in the sample is hydrolysed by urease to ammonia and carbon

dioxide. The second reaction catalysed by glutamate dehydrogenase (GLDH )

converts Ammonia and α – ketoglutarate to glutamate and water with the

concurrent oxidation of reduced NADH to NAD . Two moles of NADH are

oxidized for each mole of Urea present.

urease

Urea + H2O 2NH4+ + CO2

GLDH

NH4+ + NADH + H

+ + 2 – oxoglutarate glutamate + NAD

+

The initial rate of decrease in absorbance at 340nm is proportional to the

Urea concentration in the sample.

Reagent composition:

Reagent1: α – ketoglutaric acid 99.8 mmol/l , Urease 23.5 KU / l , GLDH 3.5

KU / l, Adenosine diphosphate 7.6 mmol/l, Sodium azide 0.2 %

Reagent2: NADH 2.95mmol / l, Sodium azide 0.1 %

Reagent Preparation:

Working Reagent was prepared by mixing 4 parts of reagent 1with one

part of Reagent 2.

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Procedure:

BLANK STANDARD TEST

Working Reagent 1000µl 1000µl 1000µl

Distilled water

10µl - -

Standard - 10µl -

Test - - 10µl

Mixed well and the absorbance was read after 30 seconds (A1) and 60

seconds (A2) at 340nm.

Calculation:

∆A = A2 – A 1

∆A of Test

Urea (mg/dl) = X Concentration of standard (50mg/dl)

∆A of Standard

Linearity:

The method is linear up to 200mg/dl.

Reference values: 15 – 30 mg/dl.

Estimation of Serum Creatinine

Methodology : Modified Jaffe’s reaction

Principle:

Creatinine present in the sample reacts with picric acid in alkaline

medium forming Creatinine picrate (red coloured complex) which is measured

photo metrically at 505 nm.

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Reagent composition:

Reagent 1 – picric acid reagent – 25.8mmol/L

Reagent 2 – sodium hydroxide – 95mmol/L

Creatinine standard – 2 mg / dl

Reagent Preparation:

Equal volume of Reagent 1 and 2 were mixed and allowed to wait for 15 min

before use.

Sample: non- haemolysed serum.

Assay procedure:

Tubes Working reagent Standard Test sample Distilled water

Blank 1000µl - - 100µl

Standard 1000µl 100µl - -

Test 1000µl - 100µl -

Mixed well and initial absorbance (A1) was read at 20 sec after mixing

and final absorbance (A2) after 80 sec after mixing.

Calculation:

A = A2 – A1

∆A of Test

creatinine (mg/dl) X Concentration of standard (2mg/dl)

∆A of Standard

Linearity – up to 18 mg/dl.

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Reference Range for serum creatinine:

Males : 0.7-1.4 mg/dl

Females : 0.6-1.2mg/dl.

Estimation of Uric Acid:

Method: Uricase method

Principle:

Uric acid is acted on by uricase forming allantoin and hydrogen

peroxide. The hydrogen peroxide reacts with phenolic chromogens in presence

of peroxidase forming a red coloured compound.

Peroxidase

H2O2 + Phenolic chromogen Red coloured compound

This compound has maximum absorption at 520 (500 – 530) nm.

Absorption is directly proportional to the concentration of uric acid.

Procedure:

Incubate for 10 minutes at room temperature. After completion of

incubation, measure absorbance of acyl mixture against blank at 520nm.

Concentration of Uric acid Standard – 6mg/dl.

Reagent Sample Standard Blank

Working reagent 1ml 1ml 1ml

Sample 25 µl -- -- ---

Standard --- 25 µl ---

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Calculation:

Amount of uric acid present in 100 ml of plasma or serum

OD test – OD blank Conc. Of std

= X X 100

OD std - OD blank Volume of sample

OD test – OD blank 0.0015

= X X 100 mg/dl

OD std - OD blank 0.025

OD (T) – OD (B)

= X 6 mg/dl

OD (S) - OD (B)

Result: The concentration of uric acid in given sample of serum = -------- mg%

Reference Range of Uric acid:

Males : 3.5 to 7 mgs %

Females : 2.5 to 6 mgs %

Estimation of S.Total Cholesterol

Method: Cholesterol oxidase-Peroxidase Enzymatic, endpoint method.

Principle: The free Cholesterol, liberated from the cholesterol esters by

cholesterol esterase, is oxidized by cholesterol oxidase to cholestenone with the

simultaneous production of hydrogen peroxide. The hydrogen peroxide reacts

with 4 amino antipyrine and a phenolic compound in the presence of

peroxidase to yield a red coloured complex.

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ChE

1. Cholesterol ester + water cholesterol + fatty acid

ChO

2. Cholesterol + oxygen cholest-4-en-3one +H 2O 2

POD

3. 2H2O2 + 4AAP+ phenol quinoneimine dye + 4H2O

• ChE- Cholesterol esterase

• ChO- Cholesterol oxidase

• 4AAP- 4 amino antipyrine

• POD- Peroxidase

Absorbance of quinoneimine formed is directly proportional to

cholesterol concentration.

Reagent:

Reagent-1(Enzyme/chromogen)

Reagent-1A (BUFFER)

Cholesterol standard-200mg/dl

Reconstituted reagent:

Contents of one bottle of the reagent-1 is dissolved in one bottle of

buffer (reagent 1A).

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Assay Procedure

Blank Standard Test

Working reagent 1000µl 1000µl 1000µl

Distilled water 10µl - -

Standard - 10µl -

Sample - - 10µl

Mixed well and incubated for 10 min at room temperature. The

absorbance of the test and standard were read against reagent blank at

wavelength of 505 nm.

Calculation

Absorbance of test

Cholesterol (mg/dl) = X Concentration of standard (mg/dl)

Absorbance of standard

Reference Range: 150-200 mg/dl

Linearity –up to 750 mg/dl

Sensitivity-1mg/dl

Interference:

Hb up to 200mg/dl, Ascorbate up to 12mg/dl,Bilirubin up to 10mg/dl

and Triglycerides upto700 mg/dl do not interfere with the test.

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Estimation of S.Triglycerides

Method: GPO-PAP method, endpoint

Methodology:

Colorimetric, enzymatic method with glycerol phosphate oxidase.

This reagent is based on the method of wako and the modifications by

McGowan et al..and Fossati et al..

Principle:

LPL

Triglycerides + H2O Glycerol + free fatty acids

GK

Glycerol + ATP Glycerol 3 phosphate + ADP

GPO

Glycerol 3 phosphate + O2 DAP + H2O2

H2O2 + 4AAP + 3,5-DHBS Quinoneimine dye + 2H2O

LPL- Lipoprotein lipase

GK- Glycerol kinase

GPO- Glycerol Phosphate Oxidase

DAP-Dihydroxy Acetone Phosphate

ATP- Adenosine Tri Phosphate

4AAP- 4Amino Anti Pyrine

DHBS-3,5Dichloro-2Hydroxy Benzene Sulfonate

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Lipoprotein lipase catalysed hydrolysis of triacylglycerol and produced

glycerol which was phosphorylated by glycerol kinase using ATP to

glycerol-3-phosphate which upon oxidation yielded Dihydroxy acetone

phosphate and hydrogen peroxide. The hydrogen peroxide reacted with

phenolic compound and 4amino antipyrine to form a coloured complex.The

intensity of Quinoneimine dye formed was proportional to the triglyceride

concentration in the sample when measured at 505 nm (500-540nm).

Reagent:

Reagent 1(Enzymes/chromogen)

Reagent 2(Buffer)

Triglycerides standard concentration- 200mg/dl

Reagent preparation:

The working reagent was prepared by mixing 4 parts of R1 with 1 part of

R2.Stable for 90 days at 2-8 ◦C.

Sample: Non haemolysed serum collected after 12 hrs of fasting.

Assay procedure

Pipette into tubes

marked

Blank

Standard

Test

Working reagent

1000µl

1000µl

1000µl

Distilled water

10µl

-

-

Standard

-

10µl

Sample

-

-

10µl

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Mixed and incubated for 10min at room temperature .Absorbance were

read at 505nm/670nm for standard and sample against reagent blank.

Calculation:

Absorbance of test

Triglycerides (mg/dl) = X Concentration of standard (mg/dl)

Absorbance of standard

Reference values

Serum /plasma fasting level: 25-160mg/dl

Linearity – up to 1000mg/dl

Sensitivity- 2mg/dl

Interference:

Hb up to300mg/dl,

Ascorbate up to 3mg/dl,

Bilirubin up to 20mg/dl

Estimation of S.HDL Cholesterol

Method: Selective Inhibition Method (Direct Method).

Principle:

The reaction between cholesterol other than HDL and the enzyme for

Cholesterol assay is suppressed by the electrostatic interaction between

polyanions& cationic substances. Hydrogen peroxide is formed by the free

cholesterol in HDL by cholesterol oxidase. Oxidative condensation of EMSE

and 4-AA is caused by Hydrogen peroxide in the presence of peroxidase, and

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the absorbance of the resulting red-purple quinone is measured to obtain the

cholesterol value in HDL.

Polyanions

Other lipoprotein than HDL suppress reaction with enzyme

Cationic substances

Cholesterol esterase

HDL (Cholesterol esters) + H2O HDL (free cholesterol)+ FFA

Cholesterol oxidase

HDL (Cholesterol esters) + O2 + H+

cholestenone + H2O2

Peroxidase

2H2O2 + 4-AA + EMSE + H3 + O violet quinone + 5H2O

Reagent Composition

Reagent 1: HDL-C DIRECT – N-ethyl- N-(3-methyl phenyl)- N

Succinylethynediame(EMSE)

Reagent 2: cholesterol oxidase

4-Amino antipyrine

HDL cholesterol standard – 25mg/dl

Sample: Non haemolysed serum

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Procedure:

Blank Calibrator Sample

Reagent 1 450µl 450µl 450µl

Distilled water 5 µl

Calibrator 5 µl

Sample 5 µl

Mixed Well And Incubated For 5 Minutes At 37°C

Reagent 2 150 µl 150 µl 150 µl

Mixed Well And Incubated For 5 Minutes At 37°C

Absorbance was read at 630 nm.

Calculation

Absorbance of test

HDL cholesterol (mg/dl) = x concentration of calibrator

Absorbance of calibrator

Absorbance of the test

= x 25

Absorbance of the calibrator

Linearity-up to 150mg/dL

Normal Values:

Males - 35 to 80mg/dl

Females - 42 to 88mg/dl

Freidwald’s formula for calculation of LDL

VLDL=TGL/5,if TGL is less than 400mg/dl

LDL = Total cholesterol – (HDL + VLDL)

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Estimation Aspartate Aminotransferase of Serum

Methodology: Modified IFCC Method

Principle

The transfer of amino group from L-Aspartate to α- ketoglutarate to

yield oxaloacetate and L – Glutamate is catalysed by AST. When Oxaloacetate

undergoes reduction there is simultaneous oxidation of NADH to NAD in the

presence of MDH.

The decrease in the rate of absorbance at 340nm is directly proportional

to the AST activity. Interference from endogenous pyruvate which is normally

present in serum is prevented by the addition of LDH.

AST

L-Aspartate + α- ketoglutarate Oxaloacetate +L-glutamate

MDH

Oxaloacetate + NADH +H Malate + NAD

Reagent Composition:

R1:

Tris Buffer (pH 7.8) - 20mmol/L

L-Aspartate - 230mmol/L

LDH - > 33.3µkat/L

2- Oxoglutarate - 13.21mmol/L

MDH - 3.333 µkat/L

Also contains Non –reactive fillers and stabilizers.

R2:

NADH - 1.51mmol/L

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Reagent Preparation

Prepare the working reagent by mixing 4 parts of R1 with 1 part of R2

per Assay tube.

Assay Procedure

Volumes

Working Reagent 1000µl

Test 100 µl

Mixed well and incubated for 1 minute at 37 c. change in absorbance

per minute was read during 3 minutes.

Calculation

AST ACTIVITY (U/L) = OD/min X 1745

Limitations

1. Sample with values above 1600 IU/L should be diluted 1:1 eithsaline, re

assayed and the results multiplied by two.

2. Patients with severe vitamin B6 deficiency could have a decreased

recovery of AST, presumably due to a lack of pyridoxal phosphate.

Linearity

AST reagent is linear up to 1600 U/L. For values above the linearity

limit dilute with saline and re assay. Multiply by the dilution factor to obtain

the end result.

Expected values

Adult Male :< 35 U/L

Adult Female :< 31 U/L.

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RESULTS

A total of 90 subjects were selected for the present study. This includes

45 cases with MI and 45 healthy controls. Statistical analysis was done using

SPSS-16. Student t test was employed for statistical analysis of data. Mann

Whitney test was also performed because of wide standard deviation.

Correlation between the measured parameters was done by using Pearson’s

correlation. The data were expressed in terms of mean and standard deviation.

p value <0.05 was taken as significant. The biochemical values obtained for

cases and controls are presented in master chart I and II respectively.

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MASTER CHART FOR CASES-I

SNO AGE DM HT SMOKE ALCO

HOL SBP DBP GLU UREA

CREA

TININE CHO TGL HDL LDL VLDL AST

URIC

ACID CKMB HFABP

DURA

TION

1 55 N N N N 100 70 230 29 0.8 226 153 32 163.4 30.6 47 6.2 31 32.6 5.3

2 35 N N Y Y 150 90 179 31 1.4 230 148 36 164.4 29.6 87 8.9 44 67.9 4

3 38 N N Y Y 140 90 97 17 0.8 130 102 40 69.6 20.4 98 8.5 18 40.3 4.3

4 50 N N Y Y 130 80 139 30 1.1 224 184 42 145.2 36.8 29 7.1 5 28.3 4

5 43 N N N N 110 70 175 20 0.9 198 242 38 111.6 48.4 19 4.2 40 34.4 3

6 40 N N Y Y 90 60 116 43 1.6 170 160 45 93 32 39 6.1 24 28.3 5

7 45 N N Y N 120 80 188 21 0.7 253 227 40 167.6 45.4 34 10.6 50 27.9 2

8 60 Y N N N 140 80 85 24 0.6 210 145 19 162 29 57 8.5 42 49.5 4

9 55 N N Y Y 140 90 86 43 1.3 270 152 39 200.6 30.4 295 7.7 146 34.3 6

10 60 N N Y Y 130 90 87 34 1.9 270 127 40 204.6 25.4 69 8.6 86 46.7 4

11 36 N N Y Y 180 80 185 33 1.2 194 157 45 117.6 31.4 132 7.9 112 49.3 4

12 44 N Y N N 130 70 272 56 3 261 143 40 192.4 28.6 133 5.2 15 17.1 3

13 41 Y Y N N 100 70 142 42 1.1 249 112 35 191.6 22.4 113 4.4 96 20.7 5

14 60 N N Y Y 120 60 132 38 1 166 159 32 102.2 31.8 25 6.2 55 26.4 4

15 42 N N Y Y 160 90 53 21 1.1 149 126 38 85.8 25.2 33 4 78 32.6 4

16 40 N N Y N 150 90 65 36 1.5 162 142 40 93.6 28.4 20 7.5 48 51.8 3

17 52 N N Y Y 130 80 283 18 0.7 176 135 39 110 27 132 8.8 8 22.1 1

18 38 N N N N 140 90 100 19 0.7 156 114 35 98.2 22.8 90 7.2 40 29.6 4

19 53 N N N N 170 100 91 38 1.6 234 128 74 134.4 25.6 86 4 61 18.2 5

20 46 N N Y Y 120 90 83 26 0.8 179 108 40 117.4 21.6 37 4.2 36 33.4 3

21 38 Y Y N Y 130 90 147 34 1.5 264 136 42 194.8 27.2 34 4.2 36 31.6 3.3

22 46 Y Y N N 128 86 312 39 1.1 186 137 40 118.6 27.4 72 3 30 8.2 2

23 50 N N Y N 150 100 131 28 1.4 215 222 43 127.6 44.4 55 8.4 67 26.6 3

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MASTER CHART FOR CASES-I

24 60 Y N Y Y 90 60 81 42 1.7 171 142 39 103.6 28.4 32 9.2 45 33 2

25 33 N N Y N 100 70 180 18 4.7 224 176 32 156.8 35.2 374 9.3 86 41.8 5

26 54 Y N N Y 160 80 133 26 1.4 174 149 42 102.2 29.8 64 8.5 48 37.4 3.3

27 44 Y Y Y Y 130 70 280 39 1.1 227 187 31 158.6 37.4 43 10.5 76 30.1 4

28 56 N N Y N 90 60 325 20 1.2 162 187 30 94.6 37.4 66 8.8 10 41.6 3

29 41 N Y Y N 100 80 326 46 1.4 237 178 37 164.4 35.6 89 11.8 80 22 3

30 33 Y Y N N 110 90 152 79 2.5 187 132 42 118.6 26.4 38 7.9 50 11.5 6

31 45 N N Y Y 80 60 229 41 1.2 198 174 40 123.2 34.8 41 7.7 16 59.9 5

32 45 Y N Y N 140 70 104 20 0.7 221 165 38 150 33 52 8.9 230 65.1 5

33 55 N N Y N 130 70 80 32 0.8 206 111 38 145.8 22.2 30 6.2 17 51.8 5

34 38 Y N N N 100 60 88 26 1 198 145 32 137 29 192 8.9 18 32.5 2

35 55 Y N Y Y 110 80 86 26 1.4 189 143 45 115.4 28.6 96 6.5 38 8.7 4

36 50 N N Y Y 120 70 131 28 1.4 215 122 43 147.6 24.4 43 4.5 9 27.2 2

37 32 Y N N N 120 80 104 35 1.2 253 156 35 186.8 31.2 181 9.3 138 49.4 4

38 40 N N Y N 130 90 132 35 0.9 156 134 45 84.2 26.8 26 7.7 14 13.5 2

39 47 Y N N N 140 90 118 58 1.8 224 166 34 156.8 33.2 67 6.5 98 44.1 4

40 35 Y N Y N 120 70 110 67 2 246 156 32 182.8 31.2 128 12 23 5.6 3

41 59 N N N N 130 80 267 38 1.3 215 164 27 155.2 32.8 263 5.7 66 43.2 6

42 42 Y N Y N 90 60 394 86 1.1 277 149 46 201.2 29.8 36 4.9 38 62.3 3

43 47 N N Y Y 130 100 186 26 0.9 324 158 42 250.4 31.6 36 8.2 45 32 4

44 40 N N Y N 140 90 78 36 1 165 145 34 102 29 28 5.9 78 115.5 6

45 35 N N N Y 160 94 108 45 1.1 276 175 32 209 35 54 8.7 22 25.5 3

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MASTER CHART FOR CONTROLS –II

SNO AGE DM HT SMOKE ALCO

HOL SBP DBP GLU UREA

CREA

TININE

CHO TGL HDL LDL VLDL AST URIC

ACID CKMB HFABP

1 56 N N Y Y 130 90 68 18 1.1 186 99 36 130.2 19.8 23 3.5 6 4.7

2 48 Y Y Y Y 140 90 94 22 1 145 135 40 78 27 13 7.3 14 2.2

3 48 N N N N 120 80 84 17 1 161 147 42 89.6 29.4 16 3.9 15 3.9

4 42 N N N N 120 80 96 21 1 141 92 51 71.6 18.4 12 4.1 11 5.2

5 38 Y N Y N 110 70 86 25 0.9 207 154 35 141.2 30.8 17 4.8 15 2.3

6 41 N N Y N 128 86 92 13 0.8 179 126 41 112.8 25.2 23 4.4 13 1.4

7 51 y N Y N 120 80 86 13 0.8 177 142 40 108.6 28.4 17 4.3 18 1.9

8 52 y N Y Y 110 70 94 17 0.8 129 126 35 68.8 25.2 19 5.4 20 0.7

9 52 N y N N 110 70 85 22 1 152 119 48 80.2 23.8 26 5.6 14 5.3

10 31 N N N N 100 70 72 16 0.8 137 149 47 60.2 29.8 20 5.3 9 3.4

11 34 y N N N 110 70 90 19 0.8 131 111 31 77.8 22.2 20 5.3 14 2.8

12 52 N y Y Y 140 70 89 21 1.1 184 123 47 112.4 24.6 19 5.6 17 4.9

13 54 Y N N N 120 70 97 15 0.9 169 150 32 107 30 16 5.7 10 3.6

14 46 y y N N 130 80 120 14 0.9 197 115 40 134 23 18 5.9 12 3.7

15 38 N N Y Y 110 80 107 20 0.8 177 139 44 105.2 27.8 15 5.6 16 0.9

16 42 Y N Y N 120 80 78 23 0.9 164 135 43 94 27 18 4.9 11 4.9

17 60 N Y Y Y 130 90 73 11 0.7 174 147 41 103.6 29.4 10 5.2 17 0.9

18 40 N N Y N 140 90 67 10 0.7 173 126 56 91.8 25.2 21 5 8 5.5

19 37 N N N Y 100 70 83 22 0.9 149 73 38 96.4 14.6 12 4.6 10 4

20 36 N N N Y 110 80 90 30 1.2 184 117 49 111.6 23.4 11 6.7 15 2

21 33 N N N N 120 80 80 21 1.1 154 92 37 98.6 18.4 15 4.4 15 2.3

22 42 N N N N 120 80 75 21 1.1 202 122 32 145.6 24.4 27 5.7 12 4.1

23 35 N N Y N 130 80 69 17 1.7 182 81 47 118.8 16.2 12 5.3 10 3.5

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MASTER CHART FOR CONTROLS –II

24 43 N N Y N 120 90 77 25 1.2 174 129 34 114.2 25.8 20 5.3 8 1.3

25 43 N N N N 100 70 76 23 0.8 196 69 55 127.2 13.8 13 4.8 16 0.5

26 56 Y N Y N 110 70 99 21 1 152 143 31 92.4 28.6 27 5 12 3.4

27 52 Y Y N N 130 70 86 19 1 149 80 38 95 16 7 2 13 1.7

28 36 N N Y N 120 80 96 13 0.8 152 89 41 93.2 17.8 20 2.8 15 3.5

29 45 N N N N 120 80 91 13 0.8 145 101 51 73.8 20.2 13 3.5 23 1.1

30 47 Y N N N 120 80 71 12 0.6 160 104 42 97.2 20.8 23 2.9 14 2.5

31 54 Y Y N N 110 70 86 14 0.7 180 128 54 100.4 25.6 15 3 10 1.8

32 36 Y N Y Y 130 70 91 16 0.8 175 92 49 107.6 18.4 22 3.4 8 3

33 47 N N Y N 120 80 70 18 0.6 156 99 37 99.2 19.8 23 3.1 17 2.9

34 50 N Y Y Y 120 80 106 19 0.7 167 147 44 93.6 29.4 14 5 14 3.2

35 54 N N Y N 120 80 99 16 0.7 201 142 50 122.6 28.4 20 3.4 8 1.4

36 42 N N N N 100 70 127 16 0.8 193 128 41 126.4 25.6 18 3.7 12 3

37 39 Y Y N N 128 80 81 13 1.1 178 83 35 126.4 16.6 29 5.3 10 6.1

38 33 N N Y N 120 80 80 16 1.2 186 130 45 115 26 16 4.8 13 2.1

39 46 N N N N 130 80 98 23 1.1 171 83 37 117.4 16.6 20 5.3 18 2

40 49 N N Y Y 120 80 139 28 1.2 198 134 29 142.2 26.8 9 7.4 16 2.2

41 38 N N Y N 100 70 86 17 1.1 184 144 39 116.2 28.8 21 4.9 7 0.8

42 58 N Y Y N 110 80 88 19 1.2 165 150 45 90 30 23 4.8 20 1.6

43 45 Y N N N 130 90 79 12 0.9 139 85 40 82 17 18 3.2 16 4.2

44 32 N N Y N 120 80 80 18 0.9 189 120 43 122 24 19 4.8 14 1.4

45 53 Y Y N N 90 60 79 19 0.8 193 71 59 119.8 14.2 14 1.8 22 1.6

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Table -1

Descriptive Statistics of Control and Study Group

Variance

Control Group

(n=45)

Study Group

(n=45)

Min. Max. Mean S.D Min. Max. Mean S.D

AGE 31.0 60.0 44.57 7.81 32.0 60.0 45.62 8.35

SBP 90.0 140.0 118.58 11.51 80.0 180.0 126.17 22.98

DBP 60.0 90.0 77.68 7.22 60.0 100.0 79.33 12.16

GLUCOSE 67.0 139.0 88.00 14.92 53.0 394.0 157.11 83.10

UREA 10.0 30.0 18.17 4.50 17.0 86.0 35.31 15.08

CREATININE .6 1.7 .93 .20 .6 4.7 1.32 .69

CHOLESTEROL 129.0 207.0 170.15 20.51 130.0 324.0 211.48 41.91

TGL 69.0 154.0 117.13 25.38 45.0 242.0 150.51 33.82

HDL 29.0 59.0 42.02 7.15 19.0 74.0 38.44 7.66

LDL 60.2 145.6 104.70 20.45 69.6 250.4 142.94 41.48

VLDL 13.8 30.8 23.42 5.07 9.0 48.4 30.10 6.76

AST 7.0 29.0 17.86 5.00 19.0 374.0 82.55 75.19

URIC ACID 1.8 7.4 4.63 1.22 3.0 12.0 7.31 2.15

CK MB 6.0 23.0 13.51 3.94 5.0 230.0 53.71 42.93

HFABP .5 6.1 2.78 1.45 5.6 115.5 35.81 19.28

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Table - 2

Age Distribution in Control and Study Group

Age

Control Study Total

(n = 45) (100%) (n = 45) (100%) (n = 90)

(100%)

30 to 40 years

15 33.3% 15 33.3% 30 33.3%

41 to 50 years

17 37.8% 17 37.8% 34 37.8%

51 to 60 years

13 28.9% 13 28.9% 36 28.9%

Fig: 1- Age Distribution in Control and Study Group

STUDY

CONTROL

0

5

10

15

20

31 to 40 41 to 50 51 to 60

1517

13

1517

13

AGE DISTRIBUTION

STUDY CONTROL

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Table- 3

Comparison of Age in Study and Control Group

Age Mean S.D

Statistical

Inference

Control

(n = 45)

44.578

7.8117 t = 0.613

df =88

p value 0.542

Study (n = 45)

45.578

8.3511

Comment

The Mean age of study and control group were 45.578 ± 8.3511 and 44.578 ±

7.811 respectively. The p value between the study and control group was 0.542. This

shows that there was no statistical significance of age between control and study

group. Hence these groups are comparable.

Fig: 2- Mean And S.D of Age in Study and Control Group

STUDY

CONTROL

MEAN S.D

45.578

8.3511

44.578

7.8117

STUDY CONTROL

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Table - 4

Statistical Analysis of HFABP Level in Control and Study Group

HFABP Mean S.D

Statistical

Inference

Control (n = 45)

2.787

1.4556 t = 11.45

df =88

p value 0.000*

Study

(n = 45)

35.811

19.2871

* Significant at 0.05 level

Comment:

The Mean value of HFABP in study and control groups were 35.811 ± 19.2871

and 2.787 ± 1.4556. Mean value of study group was higher than control group and the

p value was 0.000 (<0.05) which was statistically significant. Because of the wide

standard deviation, Mann- whitney test is better than independence t test to compare

the groups.

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Table- 5

Mann Whitney U Test for Comparison of HFABP

HFABP

Mean rank

Sum of ranks

Statistical Inference

Control

(n = 45)

67.98

3059.00

Z= -8.163

p value 0.000*

Study

(n = 45)

23.02

1036.00

* Significant at 0.05 level

Comment:

Mean rank of study and control group were 23.02 and 67.98. p value was

0.000(<0.05). This showed that the difference was statistically significant.

Fig: 3 - Mean and S.D Of HFABP in Study and Control Groups

0

5

10

15

20

25

30

35

40

MEAN S.D

35.811

19.2871

2.787 1.4556

HFABP

STUDY CONTROLS

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Table -6

Statistical Analysis of CK-MB Value in Control and Study Group

CK-MB Mean S.D

Statistical

Inference

Control (n = 45)

13.511 3.9464

t = 6.255

df =88

p value 0.000*

Study

(n = 45)

53.711 42.9321

* Significant at 0.05 level

Comment:

Mean value of CK-MB in study group was 53.711 ± 42.9321 which was higher

than control group whose mean value was 13.511 ± 3.9464. p value of 0.000 showed

statistical significance. Mann Whitney U test was performed due to wide standard

deviation.

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Table - 7

Mann Whitney U Test for Comparison of CK-MB

CK-MB Mean rank Sum of ranks

Statistical

Inference

CONTROL

(n = 45)

28.03

1261.50

Z = -6.348

p value 0.000*

STUDY

(n = 45)

62.97

2833.50

* Significant at 0.05 level

Comment:

The mean rank of CK-MB in study and control group were 28.03 and 62.97. p

value was 0.000 which was statistically significant.

Fig: 4 Mean and S.D of CK-MB in Study and Control Groups

0

10

20

30

40

50

60

MEAN S.D

53.711

42.9321

13.511

3.9464

CK-MB

STUDY CONTROLS

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Table - 8

Statistical Analysis of Uric Acid Level in Control and Study Group

Uric Acid Mean S.D

Statistical

Inference

Control (n = 45)

4.638 1.2239

t = 7.228

df =88

p value 0.000*

Study

(n = 45)

7.311 2.1581

* Significant at 0.05 level

Fig: 5 Mean and S.D of Uric Acid in Study and Control Groups

Comment:

Mean value of Uric acid in study and control group were 7.311 ± 2.1581 and

4.638 ± 1.2339. p value was 0.000 and the difference between study and control group

was statistically significant.

STUDY

CONTROL

0

2

4

6

8

MEAN S.D

7.311

2.1581

4.638

1.2239

URIC ACID

STUDY CONTROL

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Table - 9

Statistical Analysis of Lipid Parameters in Control and Study Group

Variables

Mean S.D

Statistical

Inference

Total

Cholesterol

Control

(n = 45)

170.156 20.5138

t = 5.941, df

=88

p value 0.000* Study

(n = 45)

211.489 41.9180

TGL

Control

(n = 45)

117.133 25.3822 t = 6.103, df

=88

p value 0.000* Study

(n = 45)

152.733 29.7836

HDL

Control

(n = 45)

42.022 7.1589

t = 2.288, df

=88

p value 0.025* Study

(n = 45)

38.444 7.6680

LDL

Control

(n = 45)

104.707 20.4583 t = 5.515, df

=88

p value 0.000* Study

(n = 45)

142.498 41.1642

VLDL

Control

(n = 45)

23.427 5.0764

t = 6.103, df

=88

p value 0.000* Study

(n = 45)

30.547 5.9567

* Significant at 0.05 level

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Comment:

The above table showed that Mean value of total cholesterol, TGL. HDL, LDL

and VLDL in study group were higher than the control group. p value of Total

cholesterol, TGL,HDL, LDL and VLDL were 0.000, 0.000, 0.025. 0.000 and 0.000

respectively, showed the difference was statistically significant.

Fig: 6-Mean Value of Lipid Profile in Study and Control Groups

0

50

100

150

200

250

TC TGL HDL LDL VLDL

211.489

152.733

38.444

142.498

30.547

170.156

117.133

42.022

107.707

23.427

STUDY CONTROL

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Table - 10

Statistical Analysis of HFABP in Control and Study Group Aged 31 To 40 Years

HFABP Mean S.D

Statistical

Inference

Control

(n = 15)

2.907 1.5126

t = 2.336, df =28

p value 0.027* Study (n = 15)

39.607 26.8245

* Significant at 0.05 level

Comment:

Mean value of HFABP in study and control groups aged 31 to 40 years were

compared. The mean value of these groups were given in the above table. Statistical

analysis showed significant difference between study and control group.

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Table -11

Statistical Analysis of HFABP in Control and Study Group Aged 41 To 50 Years

HFABP Mean S.D

Statistical

Inference

Control (n = 17)

2.841 1.3661

t = 7.999, df =32

p value 0.000*

Study

(n = 17)

33.641 15.8178

* Significant at 0.05 level

Comment:

Mean value of HFABP in study and control groups aged 41 to 50 years were

compared. p value showed that the difference between these two groups were

statistically significant.

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Table - 12

Statistical Analysis of HFABP in Control and Study Group Aged 51 To 60 Years

HFABP Mean S.D

Statistical

Inference

Control (n = 13)

2.577 1.5943

t = 8.864, df =24

p value 0.000*

Study

(n = 13)

34.269 12.7918

* Significant at 0.05 level

Comment:

Mean value of HFABP in study and control groups aged 51 to 60 years were

given in the above table. p value between study and control groups showed

statistically significant difference.

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Table - 13

Statistical Analysis of HFABP Level Between Smokers and Non Smokers in

Study Group

HFABP

Variable Mean S.D Statistical

Inference

Smokers (n = 29)

38.828

21.694

t = 1.429, df =43

p value 0.160

Non-Smokers

(n = 16)

30.344

12.773

Comment:

The statistical analysis of HFABP in smokers and non-smokers were

insignificant. There were no significant difference of HFABP level between these two

groups.

Fig: 7 -Mean Value of HFABP between Smokers and Non-Smokers in Study

Group

0

10

20

30

40

SMOKERS NON SMOKERS

38.828

30.344

HFABP

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Table - 14

Statistical Analysis of HFABP Level Between Alcoholics and Non Alcoholics in

Study Group

HFABP

Variables Mean S.D Statistical

Inference

Alcoholics (n =20)

34.760

13.192

t =-.327, df =43

p value 0.745

Non-Alcoholics

(n = 25)

36.66

23.29

Comment:

Analysis of HFABP levels between alcoholics and non-alcoholics in table 16. p

value >0.05. Hence the difference between these groups were statistically

insignificant.

Fig: 8- Mean Value of HFABP between Alcoholics and Non-Alcoholics in

Study Group

33

34

35

36

37

ALCOHOLICS NON ALCOHOLICS

34.76

36.66

HFABP

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Table -15

Statistical Analysis of HFABP Level Between Diabetics and Non Diabetics in

Study Group

HFABP

Mean S.D Statistical

Inference

Diabetics (n = 15)

32.647 19.18

t = -.775, df =43

p value 0.433

Non-Diabaetics

(n = 30)

37.39

19.46

Comment:

Mean value of HFABP between diabetics and non-diabetics were given in

Table18. The p value of HFABP between diabetics and non-diabetics were 0.433 and

0.138 which was statistically insignificant.

Fig: 9- Mean Value of HFABP between Diabetics and Non-Diabetics in Study

Group

30

31

32

33

34

35

36

37

38

DIABETIC NON-DIABETIC

32.647

37.39

HFABP

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Table -16

Statistical Analysis of HFABP Level between Hypertensive and Non

Hypertensive Patients in Study Group

HFABP

Variables Mean S.D

Statistical

Inference

Hypertension (n =7)

20.171 8.76

t = -2.466, df =43

p value 0.018*

No Hypertension

(n = 38)

38.692

19.36

* Significant at 0.05 level

Comment:

Table 20 shows HFABP value in hypertensives and non- hypertensives. The

mean value of HFABP in non -hypertensives was higher than hypertensives and the p

value was 0.018 which was statistically significant. This could be due to the unequal

number of subjects in these groups.

Fig: 10 - Mean Value of HFABP between Hypertensives and Non-Hypertensives

in Study Group

0

10

20

30

40

HYPERTENSION NON HYPERTENSION

20.171

38.692

HFABP

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Table -17

Frequency table for Duration of Chest Pain and Serum Levels of HFABP, CK-

MB in Study Group

Variables

Hours

Total

< 3 hours 3 to 6 hours

count % count % count %

HFABP

(ng/mL)

Below

19 ng/mL

4 23.5% 3 10.7% 7 15.6%

Above

19 ng/mL

13 76.5% 25 89.3% 38 84.4%

CK-MB

(U/L)

Below

24 U/L

7

41.2% 4 14.3% 11 24.4%

Above

24 U/L

10 58.8% 24 85.7% 34 75.6%

Comment:

Table 22 shows frequency distribution of HFABP and CK-MB between study

and control groups. Total duration (0 to 6 hours) was divided into 2 groups- 0 to 3

hours and 3 to 6 hours. Out of 45 patients 38 patients showed elevated HFABP. Out of

this 38, 13 patients had elevated HFABP in the first 3 hours which is about 76.5% and

25 patients were in the 3 to 6 hours of duration.34 patients had elevated CK-MB,

from which 10 patients had elevated value in the first 0 to 3 hours, remaining patients

had high level in 3 to 6 hours.

When compared with CK-MB, HFABP showed 76.5% detection in first 3

hours where as CK-MB had only 58.8%. During 3 to 6 hours, the percentage of

increased HFABP and CK-MB were 89.3% and 85.7%. There was no significant

difference between HFABP and CK-MB in the 3 to 6 hours of duration.

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Table -18

Pearson Correlation between HFABP with other Parameters in Study Group

HFABP

Variables

Correlation

value

p value Statistical

Inference

Duration

0.365 0.014* S

Smoke -0.213 0.160 NS

Alcohol

0.050 0.745 NS

DM

0.117 0.443 NS

HT

0.352 0.018* S

CK-MB

0.318 0.033* S

Total

Cholesterol

-0.056 0.714 NS

TGL

-0.030 0.845 NS

HDL

-0.217 0.152 NS

LDL

-0.012 0.939 NS

VLDL

0.020 0.896 NS

AST

0.048 0.754 NS

Uric Acid

0.015 0.920 NS

* Significant at 0.05 level

Comment:

Table 23 shows Pearson correlation between HFABP With other parameters.

There was a significant positive correlation present between HFABP with duration,

Hypertension and CK-MB.

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Fig: 11 –Correlation between HFABP and Duration

Fig: 12 –Correlation between HFABP and CK-MB

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Table -19

Pearson Correlation between CK-MB with other parameters in Study Group

CK-MB

Variables Correlation

Value

p value Statistical

inference

Duration

0.425 0.004** S

Smoke

-0.031 0.840 NS

Alcohol

0.132 0.388 NS

DM

-0.225 0.138 NS

HT

-0.010 0.947 NS

HFABP

0.318 0.033* S

Total

Cholesterol

0.226 0.135 NS

TGL

0.113 0.461 NS

HDL

-0.040 0.793 NS

LDL

0.218 0.151 NS

VLDL

0.107 0.484 NS

AST

0.299 0.046* S

Uric Acid

0.151 0.322 NS

* Significant at 0.05 level

** Significant at 0.01 level

Comment:

Table 24 shows Pearson correlation between CK-MB with other parameters.

Significant positive correlation was present between CK-MB with duration, AST and

HFABP.

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Fig: 13 –Correlation between CK-MB and Duration

Fig: 14 –Correlation between CK-MB and AST

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DISCUSSION

Ischemic Heart Disease is the most common cause of cardiovascular morbidity

and mortality. Imbalance between the myocardial oxygen supply and demand leads to

ischemia, injury and finally myocardial necrosis (infarction). Early detection of AMI

at the ischemic stage is important to prevent further progression of the disease. ECG

plays an important role in the diagnosis of AMI. But 10 to 20% of ECG shows

normal findings in CAD.74

In these cases, cardiac markers help in the diagnosis.

Cardiac markers like CK-MB, Troponins tend to elevate after 6 hours of onset of the

event. Even though Myoglobin increases within 2 hours of onset, the specificity

towards myocardium is very low. HFABP an ischemic marker, tends to elevate

earlier than other cardiac markers.

The present study establishes the characterization of HFABP test, its

association in the early diagnosis of myocardial ischemic patients and its comparison

with CK-MB, the commonly used early biochemical marker of coronary artery

disease.

In our study serum concentration of HFABP were found to be increased in

patients with coronary heart disease when compared to control group and it was

statistically significant (p value <0.01). The mean value of study and control groups

were 35.811 ± 19.2871 and 2.787 ± 1.4556. These findings are in accordance with the

study of Bhakti .N. Gami et al who reported an increased level of HFABP in CAD

than normal healthy individuals.75

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When compared to CK-MB, HFABP showed 76.5% increase in the first 3

hours, whereas CK-MB had 58.8%. At 3 to 6 hours, HFABP showed 89.3% and CK-

MB had 85.7%. Elevated HFABP values in the early hours than CK-MB correlates

with the findings of HaticePasaoglu et al.76

Our findings also correlate with study by

McMahon et al who showed that HFABP had the sensitivity of 64.3% at 0 to 3 hours

and 85.3% at 3 to 6 hours.77

Positive correlation of HFABP and CK-MB levels with duration was also

found in this present study. This correlates with the study done by P. Mad et al.72

Uric acid levels were found to be increased in CAD patients than healthy

controls and it was statistically significant (p<0.05). Even though uric acid level was

elevated in study group than controls, it had no correlation with HFABP value in our

study (r=0.015). This finding opposses the findings of kadowaki et al who showed a

significant positive correlation of Uric acid with HFABP (r=0.166).78

Traditional risk factors used in the prediction of atherosclerosis are Total

Cholesterol, Triglycerides, LDL and HDL. Though we had significant statistical

difference between study and control group, we had no significant correlation between

HFABP with lipid profile.

In this study, there was no statistically significant difference of HFABP value

between smokers and non-smokers, alcoholics and non-alcoholics, Diabetics and non-

Diabetics. The increase of HFABP in non-Hypertensives might be due to unequal

distribution of samples. These findings did not correlate with the findings of otaki et

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al79

who showed increased HFABP value in diabetics, Hypertensives and smokers

than non-diabetics, non-Hypertensives and non–smokers respectively.

Significant Positive correlation between HFABP and Hypertension was found

in our study (p value 0.018). This correlates with the findings of otaki et al.79

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CONCLUSION

The ability to detect ischemia before myocyte destruction is necessary for

earlier and more accurate management decisions for the patients suspected to have

CAD. Myoglobin rises within 2 hours but it is a less specific marker. CK-MB a

commonly used early marker, lacks early sensitivity because their blood concentration

do not increase until 6 to 8 hours after onset of AMI. The other ischemic markers –

Ischemia Modified Albumin (IMA), Glycogen Phosphorylase Isoform- BB (GP-BB)

are not cardiac specific. In this study, elevated HFABP in the early hours (0 to 3

hours) of onset of ischemic chest pain clearly shows that serum HFABP can be used

as an early marker in the diagnosis of coronary artery disease. HFABP a small

molecular size protein which has absolute specificity towards myocardium, is released

in to the circulation at the early stage and presence of trace amount of HFABP in

circulation under physiological conditions implies detection of the marker in serum is

possible even with minimal increase. In conclusion, HFABP is a sensitive and specific

marker for the early diagnosis of Ischemic Heart Disease and plays a major role in the

management of Coronary Artery Disease.

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LIMITATIONS OF THE STUDY

1. Small sample size of the study population.

2. Correlation of HFABP with Troponin-I would have helped better in assessing

the diagnostic importance of HFABP.

3. The data provided here is only one time measurement for each patient. Serial

measurement of HFABP in CAD patients would have helped in evaluating the

prognostic importance of HFABP.

4. For using HFABP as an early marker, the assay should have fast turn-around

time. The assays available to estimate HFABP in routine clinical practice is

limited because they are not automated.

5. Estimation of HFABP is cost effective.

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FUTURE SCOPE OF THE STUDY

Estimation of HFABP as early in patients attending emergencies can be used to

rule out ischemic heart disease and also to eliminate non anginal cause of chest pain. It

can also be used as a POCT (Point Of Care Test) in the emergency department. As our

knowledge expands regarding the functions of HFABP, assessment of Serum HFABP

would be an important diagnostic marker as well as a prognostic marker for CAD. H-

FABP deserves further investigation for the early diagnosis of MI, especially in

patients presenting early after symptom onset.

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PROFORMA

NAME : AGE : SEX :

OP/IP.NO : DOA : DOD :

SYMPTOMS :

DURATION :

PAST HISTORY :

PERSONAL HISTORY :

EXCLUSION CRITERIA :

Symptoms of Heart Failure - Y / N

Liver Disease - Y / N

Kidney Disease - Y / N

GENERAL EXAMINATION : PR: BP:

RR:

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SYSTEMIC EXAMINATION :

CVS : CNS :

RS : ABD :

INVESTIGATIONS :

ECG :

ECHO :

RANDOM BLOOD GLUCOSE :

BLOOD UREA :

SERUM CREATININE :

AST :

SERUM URIC ACID :

LIPID PROFILE :

TOTAL CHOLESTEROL :

HDL :

TGL :

LDL :

VLDL :

SERUM CK-MBLEVEL :

SERUM H-FABP LEVEL :

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CONSENT FORM

“SERUM HEART TYPE FATTY ACID BINDING PROTEIN (H-FABP) AS

AN EARLY MARKER OF MYOCARDIAL ISCHEMIA”

Study Centre : Mahatma Gandhi Memorial Govt. Hospital,

Thiruchirapalli.

PATIENT NAME : AGE :

IP No : SEX :

ADDRESS :

ATTENDER'S NAME :

RELATION TO PATIENT :

The details of the study has been provided to me in writing and explained to

me in my own language. I confirm that I understood the above study.

I understand that the patient’s participation in the study is voluntary and

that I am free to withdraw from the study at any time, without giving any

reasons, without affecting the medical care that will normally be provided

by the hospital.

I understand that the doctor involved in the study does not require my

permission to assess various Biochemical parameters.

I agree not to restrict the use of any data or results that arise from this

study, provided such a use is only for scientific purpose.

I consent wholeheartedly after understanding that the study is taken up for

the benefit of the patient.

Signature/Thumb impression of the guardian

Trichy Signature of the Investigator

Date:


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