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Nonalcoholic Fatty Liver Disease and its association with Insulin Resistance: A Study from Bangladeshi Newly Diagnosed Impaired Glucose Tolerance Subjects
ISSN: 2155-6156
Journal of Diabetes & Metabolism

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Nonalcoholic Fatty Liver Disease and its association with Insulin Resistance: A Study from Bangladeshi Newly Diagnosed Impaired Glucose Tolerance Subjects

Israt AH and Liaquat A*

Department of Biochemistry and Cell Biology, Bangladesh University of Health Sciences, Dhaka, Bangladesh

*Corresponding Author:
Liaquat A
Department of Biochemistry and Cell Biology, Bangladesh University of Health Sciences
Dhaka, Bangladesh, India
Tel: +88-02-9010654
Fax: +88-02-8055312
E-mail: [email protected]

Received date: June 21, 2016; Accepted date: July 12, 2016; Published date: July 18, 2016

Citation: Israt AH, Liaquat A (2016) Nonalcoholic Fatty Liver Disease and its association with Insulin Resistance: A Study from Bangladeshi Newly Diagnosed Impaired Glucose Tolerance Subjects. J Diabetes Metab 7:688. doi: 10.4172/2155-6156.1000688

Copyright: © 2016 Israt AH, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Background: Nonalcoholic fatty liver disease (NAFLD) is a clinicopathological condition strongly associated with obesity, type 2 diabetes, and metabolic syndrome. NAFLD is more prevalent in T2DM subjects but in the prediabetic state, particularly in impaired glucose tolerance (IGT) very, limited data are elucidated. The present study is aimed to examine the association of insulin resistance with NAFLD in subjects with newly diagnosed IGT.

Methods: We studied 74 purposively recruited IGT [M/F, 34/40; age (ranges) in years, (25-64)] subjects whose NAFLD was confirmed by ultrasound assessment of the liver. IGT was diagnosed by 75 g OGTT as per WHO Group Study criteria. Serum glucose was measured by glucose-oxidase method. Serum insulin was measured by ELISA technique. Insulin resistance (HOMA-IR) was calculated by homeostasis model assessment (HOMA).

Results: Compared to the without NAFLD counterparts, NAFLD subjects showed significantly higher levels of fasting serum insulin (17.26 ± 8.49 vs. 13.38 ± 4.40, p=0.015), postprandial serum insulin (90.06 ± 42.23 vs. 69.87 ± 38.10, p=0.034) and HOMA-IR (2.20 ± 1.0 vs. 1.73 ± 0.55, p=0.012) as well as significantly lower levels of HOMA%S (52.13 ± 20 vs. 63.92 ± 25.44, p=0.029). On multiple linear regression analysis, the fatty liver group showed significant positive association with HOMA-IR (β=0.270, p=0.020) after adjusting the effects of major confounders of sex, percent body fat (%BF) and body mass index (BMI). On binary logistic regression analysis, HOMA-IR was found to be a significant determinant of NAFLD (OR=2.679, 95% CI: 1.079-6.652, p=0.034) after adjusting the effects of %BF, BMI, and triglyceride (TG).

Conclusions: High proportions (about forty seven percent) of IGT subjects are more likely to develop NAFLD. Altered glucose metabolism and fatty liver are associated with each other where insulin resistance plays linking role between their associations.


Insulin resistance; Nonalcoholic fatty liver disease; Impaired glucose tolerance


NAFLD: Nonalcoholic Fatty Liver Disease; IGT: Impaired Glucose Tolerance; T2DM: Type 2 Diabetes Mellitus; MS: Metabolic Syndrome; NASH: Nonalcoholic Steatohepatitis; Hba1c: Glycosylated Hemoglobin; HPLC: High Performance Liquid Chromatography; ELISA: Enzyme-Linked Immunosorbent Assay; ROS: Reactive Oxygen Species; BMI: Body Mass Index; WC: Waist Circumference; HC; Hip Circumference; WHR: Waist To Hip Ratio; % BF: Percent Body Fat; SBP: Systolic Blood Pressure; DBP: Diastolic Blood Pressure; OGTT: Oral Glucose Tolerance Test; FSG: Fasting Serum Glucose; PPSG: Postprandial Serum Glucose; Hba1c: Glycosylated Hemoglobin; TC: Total Cholesterol; TG: Triglyceride; HDL-C: High Density Lipoprotein-Cholesterol; LDL-C: Low Density Lipoprotein-Cholesterol; ALT: Alanine Transaminase; AST; Aspartate Transaminase; T-GT: Gamma Glutamate Transaminase; ALP: Alkaline Phosphatase; IL-6: Interleukin-6; ELISA: Enzyme Linked Immunosorbent Assay; FSI: Fasting Serum Insulin; PPSI: Postprandial Serum Insulin; HOMA%S: Insulin Sensitivity Assessed By Homeostasis Model Assessment; HOMA-IR: Homeostasis Model Assessment Insulin Resistance


Nonalcoholic fatty liver disease (NAFLD) is a hepatic disease encompasses a spectrum of simple steatosis, nonalcoholic steatohepatitis (NASH), to cirrhosis. In the general population, the disease has a prevalence of 10–24% [1]. The pathogenesis of NAFLD appears to involve a two-hit hypothesis [2]. The first hit is the accumulation of excessive free fatty acid (FFA) within the hepatocytes due to impaired insulin action following in a secondary event of oxidative stress, resulting NASH. Hyperinsulinemia induces insulin resistant condition by inhibiting the beta oxidation of FFA which ultimately reesterified into triacylglyceride (TAG) and deposited into the liver. Increased lipotoxicity leads to a condition of mitochondrial dysfunction thereby releasing the reactive oxygen species (ROS). The free radicals released by ROS causes inflammation by activating the inflammatory cytokines leading to hepatic injury [3].

Prior epidemiological studies demonstrates a higher prevalence of NAFLD among the T2DM subjects which is likely 2.6 fold increase risk of NASH who are hyperglycemic [4]. However, the putative mechanism relating the development of NAFLD among the hyperglycemic subjects remains unclear. It is argued that whether insulin resistance is a cause or consequence of NAFLD which strongly correlated with insulin resistant states such as obesity, MS, and T2DM. NAFLD is a metabolic disorder and that insulin resistance plays a key role in its genesis. A number of clinical studies show a strong association of insulin resistance with NAFLD among nonobese healthy subjects [5,6].

Although the association of insulin resistance in diabetic NAFLD subjects is well known [6], its role in insulin resistant state, particularly in IGT subjects with NAFLD has been less well established. Since subjects with IGT are the role model of insulin resistance which also the basic defect in NAFLD, it is necessary to investigate this group to explore this relationship.

Materials and Methods

Subject’s selection

A case-control study was conducted in the 74 (seventy four) IGT subjects attending the BIHS Hospital, Darussalam, Dhaka, Bangladesh, in the period from March to October 2012. Subjects were excluded who had acute and chronic hepatic, cardiac, renal, respiratory diseases, stroke, type 1 diabetes, those taking drugs that significantly affect the glucose and lipid metabolism, antihypertensive, and pregnant subjects. IGT was diagnosed by WHO Group Study criteria following a 2 sample OGTT [7]. The study was approved by the ethical review committee of Bangladesh Diabetic Association (BADAS). Ref no: BADASERC/ 13/00106. Each participant gave written informed consent prior to study inclusion. Anthropometric measurements including height, weight, waist and hip circumference, systolic and diastolic blood pressures (SBP and DBP) were measured by standard procedures. Body mass index (BMI) was calculated as weight (kg) divided by height (m) squared.

Laboratory measurements

Serum glucose, both at fasting and following ingestion of 75 g of glucose, serum lipid profile (total cholesterol, triglycerides and HDL-c) and liver function enzymes like aspartate transaminase (AST), alanine transaminase (ALT), alkaline phosphatase (ALP) and gamma glutamyl transaminase (γ-GT) were measured by enzymatic-colorimetric method using an automated analyzer (Dimension® clinical chemistry system, Siemens Healthcare Diagnostics Inc. USA). Low-density lipoprotein cholesterol (LDL-c) was calculated by the Friedewald equation [8]. Serum insulin was measured by an enzyme linked immune assay (ELISA) method (DRG-International, Germany) whose intra-assay and inter-assay CVs were 6.3% and 4.25% respectively when specific performance characteristics were assessed. Insulin resistance was determined by the homeostasis model assessment insulin resistance (HOMA-IR) and calculated according to the formula: Fasting serum insulin (μIU/ml) × fasting serum glucose (mmol/l)/22.5 [9].

NAFLD evaluation

Ultrasonography examination was performed by a well trained physician who was unaware the purpose of the study using a 3.5 MHz linear transducer (Philips Ultrasound-Ay-MNT-15 TTK, HDI-4000, Netherland) sonography machine. Grades of fatty liver were recorded as: Grade 0 (normal), Grade 1 (mild), Grade 2 (moderate), and Grade 3 (severe) [10].

Statistical analysis

Statistical analysis was performed using the SPSS software package version 15.0 for Windows (SPSS Inc., Chicago, IL, USA). Differences between the groups were assessed by student’s t-test and the association of two parameters was explored by univariate and multivariate analysis as appropriate. Multiple linear regression analysis was done to see the association of HOMA-IR with the fatty liver group considering HOMA-IR as the dependable variable and sex, %BF, BMI, and fatty liver group as the independent variables. Multivariate logistic regression analysis was carried out considering groups (NAFLD and without NAFLD as reference) as the dependent variable and %BF, BMI, TG and HOMA-IR as independent variables to assess significant predictors and adjusted odds ratio estimated by controlling the above significant predictors of NAFLD. All of the reported p values (2-tailed test) less than 0.05 were considered to be statistically significant.


Table 1 shows the general characteristics of the IGT subjects. Of the total 74 IGT subjects, male and the female was 34 (45.9%) and 40 (54.1%), BMI and %BF was 25.71 ± 3.98 and 29.84 ± 7.47 respectively. After liver ultrasonography, the without NAFLD and NAFLD groups were 39 (52.7%) and 35 (47.3%) respectively of where, grade 0, grade 1, grade 2 and grade 3 were 38 (51.4%), 25 (33.8%), 9 (12.2%) and 2 (2.7%) respectively.

Variables IGT Subjects
(n = 74)
Gender (n, %)
Males 34 (45.9)
Females 40 (54.1)
Age (years) 42.15 ±  9.59
BMI (kg/m2) 25.71± 3.98
WC (cm) 90.03±8.06
HC (cm) 95.27±7.91
WHR 0.94±0.04
%BF 29.84±7.47
SBP (mmHg) 126±24
DBP (mmHg) 84±20
Without NAFLD (n, %) 39 (52.7)
NAFLD (n, %) 35 (47.3)
Grades of fatty liver (n, %)  
Grade 0 38 (51.4)
Grade 1 25 (33.8)
Grade 2 9 (12.2)
Grade 3 2 (2.7)
FSG (mmol/l) 5.22±0.22
PPSG (mmol/l) 8.94±0.99
HbA1C (%) 5.77±0.61
TC (mg/dl) 194±34
TG (mg/dl) 158±61
HDL-c (mg/dl) 38± 8
LDL-c (mg/dl) 186±41
ALT (U/L) 36.22±19.02
γ-GT (U/L) 33.46± 15.45
AST (U/L) 97.96± 22.86
ALP (U/L) 31.72±12.83
FSI (mIU/ml) 15.22±6.89
PPSI (mIU/ml) 79.42 ± 41.10
HOMA%S 58.34 ± 23.63
HOMA-IR 1.95±0.82

Table 1: General characteristics of the study subjects.

Table 2 shows the anthropometric, clinical and biochemical characteristics of without and with NAFLD subjects. There was 17 (43.6%) male and 22 (56.4%) female in the without NAFLD group and there was 17 (48.6%) male and 18 (51.4%) female in the NAFLD group. The grade 0, grade 1 and grade 2 were 33 (84.6%), 4 (10.3%), and 2 (5.1%) in the without NAFLD group while this values along with grade 3 in the NAFLD group were 5 (14.3%), 21 (60%), 7 (20%) and 2 (5.7%) respectively. Compared to their without NAFLD counterparts, NAFLD subjects had significantly higher fasting serum insulin (17.26 ± 8.49 vs. 13.38 ± 4.40 μIU/ ml, p=0.015), postprandial serum insulin (69.87 ± 38.10 vs. 90.06 ± 42.23 μIU/ml, p=0.034) and HOMA-IR (2.20 ± 1.0 vs. 1.73 ± 0.55, p=0.029) respectively, however, they had significantly lower levels of HOMA%S (52.13 ± 20 vs. 63.92 ± 25.44, p=0.012).

Variables IGT without  NAFLD
Gender (n, %)
Males 17 (43.6) 17 (48.6)  
Females 22 (56.4) 18 (51.4)  
Age (years) 40.62±9.21 43.86±9.84 -1.462/0.148
BMI (kg/m2) 24.92± 3.97 26.59±3.84 -1.823/0.072
WC (cm) 88.67± 7.57 91.54±8.42 -1.546/0.126
HC (cm) 94.51±7.24 96.11±8.62 -0.868/0.388
WHR 0.93±0.04 0.95 ± 0.05 -1.380/0.172
%BF 29.39±7.20 30.34±7.83 -0.545/0.587
SBP (mmHg) 123±20 128 ± 29 -0.860/0.392
DBP (mmHg) 81±16 88±23 -1.496/0.139
Grades of fatty liver (n, %)      
Grade 0 33 (84.6) 5 (14.3) -
Grade 1 4 (10.3) 21 (60) -
Grade 2 2 (5.1) 7 (20) -
Grade 3 - 2 (5.7) -
FSG (mmol/l) 5.20±0.23 5.23±0.21 -0.503/0.616
PPSG (mmol/l) 8.84±0.96 9.06 ± 1.01 -0.951/0.345
HbA1C (%) 5.75± 0.70 5.79 ± 0.52 -0.243/0.808
TC (mg/dl) 191±34 198±33 -0.902/0.370
TG (mg/dl) 154± 59 162 ± 65 -0.563/0.575
HDL-c (mg/dl) 39±8 36±7 1.373/0.174
LDL-c (mg/dl) 187 ± 43 184±38 0.262/0.794
ALT (U/L) 35.41± 19.60 37.11 ± 18.58 -0.383/0.703
γ-GT (U/L) 31.49± 16.02 35.66±14.71 -1.161/0.249
AST (U/L) 30.15± 13.34 33.46±12.19 -1.107/0.272
ALP (U/L) 100.31 ± 23.56 95.34±22.09 0.932/0.355
FSI (mIU/ml) 13.38±4.40 17.26±8.49 -2.498/0.015
PPSI (mIU/ml) 69.87 ± 38.10 90.06±42.23 -2.161/0.034
HOMA%S 63.92± 25.44 52.13±20 2.228/0.029
HOMA-IR 1.73± 0.55 2.20± 1.0 -2.563/0.012

Table 2: Anthropometric, clinical and biochemical characteristics between without and NAFLD subjects.

To get a deeper understanding of the relationship between insulin resistance and NAFLD, the study subjects were stratified into insulin sensitive (HOMA-IR ≤ 2.0) and insulin resistant (HOMAIR ≥ 2.0) groups. The frequency of insulin sensitive and resistance subjects were 71.8% (n=28) and 28.2% (n=11) in the group of without NAFLD whereas, these values in the NAFLD group were 42.9% (n=15) and 57.1% (n=20) respectively. With increasing the prevalence of NAFLD, the quartiles of HOMA-IR also increased progressively and the increment is higher in the NAFLD group compared to their without NAFLD counterparts (Figure 1).


Figure 1: Frequency distribution of fatty liver in the insulin sensitive and resistance group among the IGT subjects.

Table 3 shows the bivariate Pearson’s correlation analyses of HOMA-IR with clinical and biochemical variables in the NAFLD subjects. HOMA-IR showed significant positive correlation with sex (r=0.338, p=0.047), WC (r=0.347, p=0.041), WHR (r=0.357, p=0.042), %BF (r=0.357, p=0.035), BMI (r=0.345, p=0.042) and GGT (r=0.369, p=0.029) respectively.

Variables HOMA-IR
r-value p-value
Gender 0.338 0.047
WC (cm) 0.347 0.041
WHR 0.357 0.042
BF (%) 0.357 0.035
BMI (kg/m2) 0.345 0.042
γ-GT (U/L) 0.369 0.029

Table 3: Correlation of HOMA-IR with some significant variables in the total study subjects.

Table 4 shows the multiple linear regression analysis using HOMA-IR as dependent variable and sex, %BF, BMI and the group as independent variables. HOMA-IR showed significant positive association with the group (ß=0.270, p=0.020) after adjusting the effects of major confounding variables of sex, %BF and BMI respectively.

Variables Coefficients (β) t-value p-value 95% C.I.
Lower Bound Upper Bound
(Constant) - 0.798 0.428 -0.726 1.694
Gender 0.163 1.147 0.255 -0.198 0.734
BF (%) 0.101 0.655 0.515 -0.023 0.045
BMI (kg/m2) 0.097 0.765 0.447 -0.032 0.073
Fatty liver group 0.270 2.390 0.020 0.073 0.815

Table 4: Multiple linear regression analysis to explore the association of HOMA-IR with fatty liver group (NAFLD vs. without NAFLD as reference) after adjusting the effects of major confounders.

Table 5 shows the binary logistic regression analysis using NAFLD as dependent variable and %BF, BMI, TG and HOMA-IR as independent variables. HOMA-IR (OR=2.679, 95% CI: 1.079-6.652, p=0.034) was found to be significant determinant of NAFLD after adjusting the effects of major confounding variables of %BF, BMI, and TG respectively.

Variables Coefficient S. E. p-value Odds Ratio 95% C.I.
Lower Bound Upper Bound
BF (%) -0.033 0.039 0.397 0.967 0.896 1.045
BMI (kg/m2) 0.102 0.073 0.163 1.108 0.960 1.279
TG (mg/dl) 0.003 0.004 0.509 1.003 0.995 1.011
HOMA-IR 0.985 0.464 0.034 2.679 1.079 6.652
Constant -4.086 1.889 0.030 0.017 - -

Table 5: Binary logistic regression analysis taking group (NAFLD vs. without NAFLD as reference) as dependant variable after adjusting the effects of major confounders.


The present study demonstrates a higher prevalence of NAFLD among the IGT subjects. In a study by Mohan et al. the prevalence of NAFLD in subjects with isolated IGT was (32.4%) which is in accordance with our study where we found the prevalence of NAFLD is about 45.2% in the isolated IGT subjects [11]. We performed the ultrasonography imaging for the histological analysis of the liver because of its non-invasive, cost effective and readily available tool in diagnosing NAFLD rather than the liver biopsy (gold standard method).

Insulin resistance (IR) is a characteristics feature of NAFLD but it is argued whether it is a cause or consequences. Our study subjects had significantly higher levels of IR in the NAFLD group compared to the non-NAFLD. In a recent study by Petersen et al. [12] showed a higher prevalence of IR among the healthy lean Asian Indians compared to other ethnic groups. They hypothesized for this increased prevalence among this risk group might be associated with increased hepatic triglyceride content and plasma IL-6 concentration. In a previous study, IR was shown to be an independent risk factor for NAFLD in non-diabetic subjects with normal BMI [13].

Our study subjects were overweight (BMI>25 kg/m2) that plays a crucial role in the development of NAFLD because body fat distribution is the detrimental risk factor in the progression of fatty liver. Obesity enhances the deposition of increased fat within the hepatocytes leading to a condition of IR, thus decreasing the fatty acid oxidation. During obesity, fat cell released a number of adipocytokines that enhances the inflammation of the liver. Thus IR considered the key factor in the pathogenesis of NAFLD by increasing the rate of lipogenesis thereby promoting the inhibition of lipolysis. However, the relationship between glucose metabolism and NAFLD among the state of prediabetes is not well known. In our study, we found a positive correlation of BMI with IR among the NAFLD subjects. This is in line with a recent case-control study by Ha et al. showed abdominal fat more susceptible to NAFLD among the non-obese subjects [14].

The IR of the NAFLD subjects may have reported from hyperinsulinemia among the IGT subjects. In our study we found significantly higher levels of postprandial serum insulin in NAFLD subjects compared to the controls. During hyperinsulinemic condition, there is hyper secretion of insulin from the pancreas which ultimately decreases the disposal of hepatic insulin to the peripheral tissues. Manchanayake et al. showed a relationship between postprandial hyperinsulinemia and severity of NAFLD among the hyperglycemic subjects. Since NAFLD itself is an insulin resistant condition and our study subjects was glucose intolerant which also role model of IR. It has been suggested that genetic factors that reduce insulin sensitivity and increase triacylglycerol levels may be responsible for the development of IR among the hyperglycemic subjects [15].

Our study supports the association between IR and NAFLD as represented by the fact that all the subjects studied are glucose intolerant. The present study showed a significantly higher level of fasting insulin, IR and a significantly lower level of HOMA%S in IGT subjects with NAFLD. Prior clinical studies showed the relationship between IR and NAFLD in subjects with diabetes [16-19] however, this is the first study showing the independent association of IR with NAFLD in the IGT subjects. In order to get deeper understanding the relationship between HOMA-IR and NAFLD, all subjects were segregated into two groups according to their IR quartiles. With increasing the prevalence of NAFLD, the levels of IR also increased among the study subjects. This is in agreement with previous studies which suggest that IR plays a significant role in the progression of the disorder [13,18].

Our binary logistic regression analysis showed a significant positive association of IR with NAFLD after adjusting the potential confounders. In a review finding by Kristina et al. reported IR as a pathogenic risk factor in the development of NAFLD providing a strong association with obesity, T2DM and MS [4]. Bhat et al. demonstrates IR as a key factor in the development of NAFLD among the lean Indian patients. Thus NAFLD not only confined in the obese subjects, the lean subjects also vulnerable to the development of this disorder [20].

From the present data, it may conclude that a high proportion (~47%) of the IGT subjects has NAFLD and the distribution of the disorder is almost similar in various degrees of insulin resistance in IGT subjects. Insulin resistance seems to be an independent mediator of the association between NAFLD and IGT. The data also indicate that the insulin resistance and NAFLD are associated with each other and those, in turn, are affected by adiposity in these subjects. Prospective studies with larger cohort are warranted to evaluate the markers of insulinemic indices as a screening tool in the diagnosis of NAFLD among the Bangladeshi population.

Our study had several limitations. The diagnosis of NAFLD was based on ultrasonography and was not confirmed by liver biopsy. Correlation between the different stages of NAFLD (by the histologic picture) and the levels of insulin resistance could not be done. Studies in prediabetes with different subgroups cohorts having NAFLD are needed to re-formulate the association of insulin resistance with NAFLD. Prospective studies with appropriate design should be undertaken to investigate the underlying association between HOMAIR and NAFLD in IGT subjects.


This work was partially supported by grants from the Bangladesh Medical Research Council and Government of the People's Republic of Bangladesh, Ministry of Science and Technology (No.

Conflict of Interest

The authors declare that there is no conflict of interest that could be perceived as prejudicing the impartiality of the research reported.


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