Insulin resistance and
significance of postprandial lipid profile in normoglycemic coronary
artery disease
Mookambika RV1,
Rajendiran2, Jayachandran3, Aruna4
1Dr Mookambika R V, Assistant Professor, Department of General
Medicine, Sree Mookambika Institute of Medical Sciences, Padanilam,
Kulasekharam, Kanya Kumari District, Tamil Nadu.- 629161, 2Dr
Rajendiran, Professor & HOD, Department of Cardiology, PSG
Institute of Medical Sciences and Research, 3Dr K. Jayachandran,
Professor & HOD, Department of General Medicine, PSG Institute
of Medical Sciences and Research, 4Dr. Aruna, Professor Department of
Biochemistry, PSG Institute of Medical Sciences and Research, Off
Avanashi Road, Peelamedu, Coimbatore-641 004, Tamil Nadu, India.
Address for
Correspondence: Dr Vishnu. G. Ashok, Assistant Professor,
Department of Community Medicine, Sree Mookambika Institute of Medical
Sciences Kulasekhram, Tamilnadu, India, Email: vishnusastha@gmail.com
Abstract
Background:
Coronary artery disease is a continuum of a pathological process, in
which the coronary arteries gradually thicken, harden and
atherosclerotic plaques develop which further occludes the blood flow.
The prevalence of coronary artery disease is rapidly rising in India.
There are various risk factors of CAD which have been extensively
studied, out of which Type-2 diabetes is an important etiopathogenic
factor of accelerated CAD. Insulin resistance plays an important role
in the pathogenesis of the development of type- 2 diabetes. Despite the
clear relationship between type-2 diabetes and CAD, the association of
insulin resistance and CAD is more obscure in people without diabetes. Aims & Objectives:
To find the association between insulin resistance and Coronary artery
disease, to evaluate the role of postprandial lipid profile and its
relationship with development of CHD and the evaluation of
apolipoproteins (a and b) on the same group. Subjects and Methods:
Fifty patients of coronary artery disease admitted to ICCU/CCU of psg
institute of medical sciences and research were studied. The cases of
this present study were 50 non diabetic CAD patients and controls were
selected based on age and sex matched non diabetic ‘and non
CAD patients who has to undergo similar set of investigations as cases
to find out association of insulin resistance by using HOMA score and
to find out the significance in abnormalities of postprandial lipid
profile in these patients. Results:
92% of the cases had insulin resistance, 52% of the controls had normal
HOMA score when compared to cases. Apolipoprotein b was significantly
elevated in cases (84%) than controls. All patients were normoglycemic.
Serum triglycerides were significantly high in cases than controls in
both fasting and postprandial states. Conclusion:
Improving insulin sensitivity would offer substantial benefits by
decreasing the morbidity, mortality, and economic burden associated
with CAD especially in the country like India
Key words:
Insulin Resistance, Coronary Artery Disease, Homa Score
Manuscript received:
16th December 2016,
Reviewed: 26th December 2016
Author Corrected:
04th January 2017,
Accepted for Publication: 11th January 2017
Introduction
Coronary artery disease is a continuum of a pathological process, in
which the coronary arteries gradually thicken, harden and
atherosclerotic plaques develop which further occludes the blood flow
[1]. This leads to clinical manifestations such as angina and acute
coronary events resulting from disruption of plaques, such as acute
coronary syndromes, myocardial infarction and death [1,2].
The prevalence of CAD is rising rapidly in rural India. Lifestyle
changes and aggressive control of risk factors are urgently needed to
reverse this trend. Asian Indians have considerably higher prevalence
of premature coronary artery disease and standardized mortality rates
for CAD compared with Europeans. Within the Indian subcontinent, a
dramatic increase in the prevalence of CAD has been predicted in the
next 20 years due to rapid changes in demography and lifestyle
consequent to economic development [3, 4].
There are various risk factors of CAD which have been extensively
studied, out of which Type-2 diabetes is an important etiopathogenic
factor of accelerated CAD. Insulin resistance plays an important role
in the pathogenesis of the development of type- 2 diabetes. Elevated
insulin levels and insulin resistance may be evident several years
prior to the diagnosis of type-2 diabetes. There are evidences
supporting association of Insulin and CAD which indirectly reflects
glucose intolerance, hypertension and dyslipidemia. However, the
results from several studies are conflicting. Despite the clear
relationship between type-2 diabetes and CAD, the association of
insulin resistance and CAD is more obscure in people without diabetes
[5, 6].
It is well established that dysfunctional endothelium contributes to
development and progression of atherosclerosis. Consequently, early
detection and treatment of endothelial dysfunction may be an attractive
strategy for preventing CAD. Unfortunately, established validated
methods for assessment of endothelial dysfunction for chronic heart
disease risk prediction in the clinical setting are not currently
available. Current techniques to assess endothelial function are
invasive, expensive, or suffer from lack of high sensitivity,
specificity, reproducibility, or clinically defined cut-off values.
Therefore, at this time, targeting established and modifiable risk
factors for endothelial dysfunction and insulin resistance is the best
primary strategy to prevent these conditions [7, 8].
Hypercholesterolemia and hyper triglyceridemia are considered the
independent risk factors but most of the earlier studies in this area
have considered only the fasting lipid profiles and lipoproteins.
Recently it has been proposed that postprandial lipoproteins may be
better indicators of deranged lipoprotein metabolism and hence of
atherosclerosis and CHD. Postprandial hypertriglyceridemia (PHTG) and
delayed triglyceride (TG) rich lipoprotein clearance have been found to
impair endothelial function significantly either directly or by
increasing superoxide anions.
It has also been reported that magnitude and duration of postprandial
lipidemia is positively related to the pathogenesis and progression of
CHD [9]. There is comparatively more transfer of cholesterol and
cholesterol esters from HDL to LDL in postprandial state leading to
their low levels and this along with higher triglycerides and VLDL
levels are better indicators of coronary heart disease [10].
Aims
& Objectives
To find the association between insulin resistance and Coronary artery
disease
To evaluate the role of postprandial lipid profile and its relationship
with development of CHD
Evaluation of apolipoproteins (a and b) on the same group
Materials
and Methods
Fifty patients of coronary artery disease admitted to ICCU/CCU of PSG
Institute of medical sciences and research were studied. The cases of
this present study were 50 non diabetic CAD patients and controls were
selected based on age and sex matched non diabetic ‘and non
CAD patients who has to undergo similar set of investigations as cases
to find out association of insulin resistance by using HOMA score [11]
and to find out the significance in abnormalities of postprandial lipid
profile in these patients. Patients with Acute coronary event and Non
diabetics were selected as cases and the patients with Diabetics on
insulin/ Oral hypoglycemic agents, Severe cardiac failure (classes
3–4), Renal hepatic, and other systemic diseases, Morbid
obesity, History of malignancy and Previous h/o dyslipidemia were
excluded. The selected patients were studied in detail with history and
physical examination. Complete blood picture, Urine analysis, Renal
function tests fasting Blood sugar and postprandial blood sugar,
glycosylated haemoglobin, Fasting and post prandial lipid profile.
Apolipoprotein a and b Fasting insulin levels, Chest x-ray,
Electrocardiogram Echocardiogram and Coronary Angiography were done in
patients. The estimation of Insulin resistance by HOMA score = fasting
insulin (Mu/L) × fasting glucose (mmol/L)/22.5. The study
Parameters entered in Microsoft Excel spread sheet and statistically
analysed using Chi-square and Fisher Exact test to find the
significance of proportion of incidence of insulin between various
levels of study parameters namely BMI, Age, abnormal lipid profile and
complications etc. and Student t test to find the significance of mean
levels of lab parameters between the presence and absence of insulin
resistance.
Results
Among cases 70% of patients were males and 30% were females, Among
controls 66% patient were males and 34% were females .10% of the CAD
patients and 9% of the controls had habit of consuming smoking and
alcohol. 72% of the cases and 68% of the control are obese. 92% of the
cases had insulin resistance, 52% of the controls had normal HOMA score
when compared to cases. Apolipoprotein b was significantly elevated in
cases (84%) than controls. All patients were normoglycemic. Serum
triglycerides were significantly high in cases than controls in both
fasting and postprandial states.HDL and Total cholesterol was unchanged
both in fasting and postprandial state LDL cholesterol was found to be
mildly increased in patients but not significantly as fasting level.
TG/HDL RATIO was found to be >4 in cases with insulin resistance
when compared to those without insulin resistance. TC/HDL RATIO was
found to be > 3.5:1 in high in cases & controls with
Insulin resistance (72%, 43.2% respectively) when compared to patients
without insulin resistance. Post prandial triglycerides where high when
compared to fasting levels among cases when compared to controls.
Percentage of postprandial hypertriglyceridemia was much higher in
cases when compared to controls. Significant association of Obesity
& Insulin resistance in cases and controls (Table 1& 2)
Table-1: Relationship
between Insulin Resistance and BMI Fishers exact test- Cases
|
Normal
|
Obese
|
Total
|
P value
|
No
|
%
|
No
|
%
|
No
|
%
|
0.041*
|
Normal
|
4
|
40.0
|
4
|
10.0
|
8
|
16.0
|
Abnormal
|
6
|
60.0
|
36
|
90.0
|
42
|
84.0
|
Total
|
100
|
100.0
|
40
|
100.0
|
50
|
100.0
|
Table-2: Relationship
between Insulin Resistance and BMI Fishers exact test- Controls
|
Normal
|
Obese
|
Total
|
P value
|
No
|
%
|
No
|
%
|
No
|
%
|
0.002*
|
Normal
|
22
|
68.8
|
4
|
22.2
|
26
|
52.0
|
Abnormal
|
10
|
31.2
|
14
|
77.8
|
24
|
48.0
|
Total
|
16
|
100.0
|
34
|
100.0
|
50
|
100.0
|
Discussion
Coronary artery disease (CAD) is continuums of a pathological process,
in which the coronary arteries gradually thicken & harden and
atherosclerotic plaques develop that further occlude blood flow. This
leads to clinical manifestations such as angina and acute coronary
events such as acute coronary syndromes, myocardial infarction and
death, due to the disruption of plaques.
Coronary artery disease is the leading cause of death in India and is
also the leading cause of death worldwide. It was previously thought to
affect primarily the population of developed countries. CAD now leads
to more death and disability in developing countries such as India. CAD
affects people at younger ages in developing countries compared to
developed countries, thereby having a greater economic impact.
Effective screening, evaluation and management strategies for coronary
artery disease are well established in developed countries, but these
strategies are not fully implemented in India. For the development
& implementation of such strategies identifying the risk
factors is an important initial step.
An effort has been made to recognize insulin resistance in non-diabetic
CAD patients which is a simple and non-invasive practical tool. It
requires only a single sample assayed for Insulin and glucose and can
be calculated by HOMA score [11].
There was significant insulin resistance (IR) ( 92%) among cases. This
is similar to a study done by Bertoluci et al [12] from Brazil which
showed 82.6% of CAD patients had insulin resistance when compared to
the controls/non CAD group. Another American study by David et al [13]
showed that IR was responsible (96%) for 46.8%, 6.2% and 12.5 % of the
annual CHD events in diabetics, non-diabetics and total US population
respectively. Yet another study by E. Devici et al [14] which compared
Insulin resistance among normoglycemic patients with CAD revealed
significant association of IR. Metabolic syndrome was similar in both
the control and cases and thus HOMA IR values may provide more
sensitive information than the Metabolic syndrome definitions about the
association of IR and CAD in normoglycemic patients. Like the above
study quoted, there was significant association of obesity and Insulin
Resistance in our study which was 84% In the CAD group and 77.8% in the
non CAD group. Approximately 50% of patients with essential
hypertension, both treated and untreated, appear to be insulin
resistant based on the study by Roopa et al [15].
Significance of the postprandial lipid profile in patients with CAD is
a new and emerging study which has only limited references & is
not practiced routinely day to day clinical setup. In this study Serum
triglycerides were significantly high in cases than controls in both
fasting and postprandial states. Total cholesterol was unchanged both
in fasting and postprandial state. HDL cholesterol was found to be
decreased significantly in fasting state, but LDL cholesterol was found
to be mildly increased. A study by Vijay et al[16] done in Haryana
showed significant elevation of Serum TG, total cholesterol and VLDL
– cholesterol in patients than controls in both fasting and
postprandial states (p<0.001) and HDL-cholesterol was found to
be decreased significantly in fed state only (p < 0.05). It
concluded that there is comparatively more transfer of cholesterol and
cholesterol esters from HDL to LDL in postprandial state leading to
their low levels and this along with higher triglycerides and VLDL
levels are better indicators of coronary heart disease. Apoprotein b
was significantly higher in CAD group when compared to controls which
is similar to a study by Bertsch RA et al [17] which showed that these
pro-atherogenic lipoproteins were strong predictors of CAD when
compared to the non HDL cholesterol. In those controls (4 patients) in
whom Apo B was elevated there was also Insulin Resistant. Among them, 2
patients were hypertensive and their ECHO and ECG showed features of
left ventricular hypertrophy. Other two were obese without pre
morbidities and had non specific ST-T changes in ECG with a normal ECHO
study. Apo B, TG/HDLc ratio and Tc/HDL ratio were significantly higher
among patients with insulin resistance
Conclusion
There is insulin resistance in patients with coronary artery disease
and also among non diabetic patient who are obese. Apolipoprotein b
levels where significantly raised in CAD patients. Serum triglycerides
were significantly high in cases than controls in both fasting and
postprandial states. Percentage of postprandial hypertriglyceridemia
was much higher in cases when compared to controls. Fed state did not
alter the total cholesterol/ LDL/HDL significantly. Patients with IR
had high TGL/HDLc, TC/HDLc and Apo B values. Fasting Insulin and
Insulin resistance (HOMA SCORE) can be included as one of the panel of
investigations to assess the risk factor of CAD among nondiabetic
population. Earlier identification of these patients would help to
intervene and improve the quality of life. Improving insulin
sensitivity would offer substantial benefits by decreasing the
morbidity, mortality, and economic burden associated with CAD,
especially in the country like India.
Funding:
Nil, Conflict of
interest: None initiated.
Permission from IRB:
Yes
References
1. Joseph J, Shamburek RD, Cochran EK, Gorden P, Brown RJ. Lipid
regulation in lipodystrophy versus the obesity-associated metabolic
syndrome: the dissociation of HDL-C and triglycerides. J Clin
Endocrinol Metab. 2014 Sep;99(9):E1676-80. doi: 10.1210/jc.2014-1878.
Epub 2014 Jun 13.
2. Reaven GM, Lerner RL, Stern MP, Farquhar JW. Role of insulin in
endogenous hypertriglyceridemia. J Clin Invest. 1967
Nov;46(11):1756-67. [PubMed]
3. Howard G, O'Leary DH, Zaccaro D, Haffner S, Rewers M, Hamman R,
Selby JV, Saad MF, Savage P, Bergman R. Insulin sensitivity and
atherosclerosis. The Insulin Resistance Atherosclerosis Study (IRAS)
Investigators. Circulation. 1996 May 15;93(10):1809-17.
4. Miller GJ, Miller NE. Plasma-high-density-lipoprotein concentration
and development of ischaemic heart-disease. Lancet. 1975 Jan
4;1(7897):16-9. [PubMed]
5. Welborn TA, Breckenridge A, Rubinstein AH, Dollery CT, Fraser TR.
Serum-insulin in essential hypertension and in peripheral vascular
disease. Lancet. 1966 Jun 18;1(7451):1336-7.
6. Juhan-Vague I, Alessi MC, Vague P. Increased plasma plasminogen
activator inhibitor 1 levels. A possible link between insulin
resistance and atherothrombosis. Diabetologia. 1991 Jul;34(7):457-62.
7. Kahn BB, Flier JS. Obesity and insulin resistance. J Clin Invest.
2000 Aug;106(4):473-81. [PubMed]
8. Gavrilova O, Marcus-Samuels B, Graham D, et al. Surgical
implantation of adipose tissue reverses diabetes in lipoatrophic mice.
Journal of Clinical Investigation. 2000;105(3):271-278.
9. Klannemark M, Orho M, Langin D, Laurell H, Holm C, Reynisdottir S,
Arner P, Groop L. The putative role of the hormone-sensitive lipase
gene in the pathogenesis of Type II diabetes mellitus and abdominal
obesity. Diabetologia. 1998 Dec;41(12):1516-22.
10. Babirak SP, Brown BG, Brunzell JD. Familial combined hyperlipidemia
and abnormal lipoprotein lipase. Arterioscler Thromb. 1992
Oct;12(10):1176-83. [PubMed]
11. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner
RC. Homeostasis model assessment: insulin resistance and beta-cell
function from fasting plasma glucose and insulin concentrations in man.
Diabetologia. 1985 Jul;28(7):412-9.
12. Bertoluci MC, Pimazoni-Netto A, Pires AC, Pesaro AE, Schaan BD,
Caramelli B, Polanczyk CA, Júnior CV, Gualandro DM, Malerbi
DA, Moriguchi E, Borelli FA, Salles JE, Júnior JM, Rohde LE,
Canani LH, Cesar LA, Tambascia M, Zanella MT, Gus M, Scheffel RS, Dos
Santos RD. Diabetes and cardiovascular disease: from evidence to
clinical practice - position statement 2014 of Brazilian Diabetes
Society. Diabetol Metab Syndr. 2014 May 20;6:58. doi:
10.1186/1758-5996-6-58. eCollection 2014.
13. Hadaegh F, Derakhshan A, Mozaffary A, Hasheminia M, Khalili D,
Azizi F. Twelve-Year Cardiovascular and Mortality Risk in Relation to
Smoking Habits in Type 2 Diabetic and Non-Diabetic Men: Tehran Lipid
and Glucose Study. PLoS One. 2016 Mar 1;11(3):e0149780. doi:
10.1371/journal.pone.0149780. eCollection 2016. [PubMed]
14. Deveci E, Yesil M, Akinci B, Yesil S, Postaci N, Arikan E, Koseoglu
M. Evaluation of insulin resistance in normoglycemic patients with
coronary artery disease. Clin Cardiol. 2009 Jan;32(1):32-6. doi:
10.1002/clc.20379. [PubMed]
15. Roopa AN ,Reddy KSS ,Chandrasekhara P, Umabai KR .Study of
microalbuminuria and insulin resistance in patients with essential
hypertension and metabolic syndrome and its relationship to target
organ damage.J Med Sci Health 2015;1(3):5-9. [PubMed]
16. Shankar V, Kaur Harnam ,Dahiya K.Comparison of Fasting and Post
prandial Lipoid profile in patients of coronary heart disease. Bombay
Hospital Journal.2008;50(3).
17. Bertsch RA, Merchant MA. Study of the Use of Lipid Panels as a
Marker of Insulin Resistance to Determine Cardiovascular Risk. The
Permanente Journal. 2015;19(4):4-10.
How to cite this article?
Mookambika RV, Rajendiran, Jayachandran, Aruna. Insulin resistance and
significance of postprandial lipid profile in normoglycemic coronary
artery disease. Int J Med Res Rev 2017;5(01):15-19.doi:10.17511/ijmrr.
2017.i01.02.