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Research Article

 

Perilipin-1 Level as Risk Marker of Insulin Resistance in Morbidly Obese Patients

 

Hanaa Addai Ali 1, Ali Abbas Abo Algon 2, Shukryia Shadhan Chyad 3, Emad Abbas Jaffar Al-Mulla 3*

 

1 Department of Chemistry, Faculty of Science, University of Kufa, P.O. Box 21, An-Najaf 54001, Iraq.

2 Pathological Department, Alkafeel University College, An-Najaf 54001, Iraq.

3 College of Health and Medical Techniques, Al-Furat Al-Awsat Technical University, 54003 Al-Kufa, Iraq.

 

*Corresponding author. E-mail: almullaemad@gmail.com

 

Received: Sep. 16, 2017; Accepted: Nov. 6, 2017; Published: Nov. 30, 2017

 

Citation: Hanaa addai Ali, Ali Abbas Abo Algon, Shukryia Shadhan Chyad, and Emad Abbas Jaffar Al-Mulla, Perilipin-1 Level as Risk Marker of Insulin Resistance in Morbidly Obese Patients. Nano Biomed. Eng., 2017, 9(4): 285-290.

DOI: 10.5101/nbe.v9i4.p285-290.

 

Abstract

Morbid obesity is a serious health condition that can interfere with basic physical functions such as breathing or walking. Those who are morbidly obese are at greater risk of illnesses including diabetes, high blood pressure, sleep apnea, gastro esophageal reflux disease, gallstones, osteoarthritis, heart disease, and cancer. This study was designed by taking 60 patients and 20 controls aged from 25 to 45 years with morbid obesity. A collection of samples was done by taking venous fasting blood samples from the patients and healthy volunteers after an overnight fasting. Insulin resistance was assessed using the homeostasis model assessment for insulin resistance (HOMA-IR), fasting blood glucose (FBG), glycated hemoglobin A1c (HbA1c) and lipid profile kits were used to determine these parameters. It was observed that the increase level of perilipin-1 led to insulin resistance and hyperinsulinemia for 60 patients, while the level of perilipin-1 in 20 controls caused insulin sensitivity. The increase of all studied parameters was concluded from the p-value, which was less than 0.05.  The results also indicated that the level of perilipin-1 could be considered a risk factor for many diseases. It could cause accumulation of the bad cholesterol in vascular tissues leading to atherosclerosis; it could cause changes in many factors in secretion, could cause insulin resistance and then diabetes mellitus. The level of fatty acid coming from continuous lipolysis causes fatty liver and live diseases. 

                                                                                                                                                                                                                                                

Keywords: Obesity; Perilipin-1; Cholesterol; Body mass index (BMI); Lipid profile

 

Introduction

Obesity is generally defined as an increase in body weight from the normal rate due to accumulation of fat. This is due to eating a diet that contains higher calories than the body's ability to burn these calories to generate the energy needed for the body's activities. It is a chronic disease in which body fat has been accumulated in excessive level [1], which leads to adverse effects. Serious complications caused by morbidity and mortality, and the development of chronic diseases include atherosclerosis, liver fat, gallstones, diabetes, cancer, etc. The obese person can be determined according to body mass index (BMI) factor. The persons with BMI 30 -34 can be classified as obesity type 1, while those with BMI 35 - 39 are determined as type 2, and those with BMI higher than 40 are type 3 [3]. Perilipin is a protein that in humans coats lipid droplets in adipocytes, the fat-storing cells in adipose tissue [4]. Perilipin acts as a protective coating from the body’s natural lipases, such as hormone-sensitive lipase, which breaks triglyceride (TG) into glycerol and free fatty acids for use in metabolism, a process called lipolysis [5]. The perilipin family consists of five proteins, Plin1, Plin2, Plin3, Plin4 and Plin5 [6]. Phosphorylation of perilipin is essential for the mobilization of fats in adipose tissue [7], and the major substrate for cAMP dependent protein kinase (protein kinase A (PKA)) in lipolytically stimulated adipocytes) [8]. Perilipin serves important functions in the regulation of basal and hormonally stimulated lipolysis [9]. Under basal conditions, perilipin restricts the access of cytosolic lipases to lipid droplets and thus promotes triacylglycerol storage [10]. In times of energy deficit, perilipin is phosphorylated by PKA and facilitates maximal lipolysis by hormone sensitive lipase and adipose triglyceride lipase. Perilipin is hyperphosphorylated by PKA following β-adrenergic receptor activation. Phosphorylated perilipin changes conformation, exposing the stored lipids to hormone-sensitive lipase-mediated lipolysis [11]. Although PKA also phosphorylates hormone-sensitive lipase, which can increase its activity, the over 50-fold increase in fat mobilization (triggered by epinephrine) is primarily due to perilipin phosphorylation [5]. Complete hydrolysis of triacylglycerol involves the breakage of three ester bonds to liberate three fatty acids and a glycerol moiety [12]. The same enzyme, hormone sensitive lipase, is responsible for facilitating hydrolysis of the esters at positions 1 and 3 of the triacylglycerol. A second enzyme, 2-monoacylglycerol lipase, catalyzes hydrolysis of the remaining ester to yield a third free fatty acid and glycerol [13]. The aim of this study was to evaluate perilipin-1 with insulin resistance in morbid obese patients.

 

Experimental

Study population

A-Patients: Sixty patients participated in the study. Their age range was between 25 and 45 years with morbid obesity. The samples were collected from Al-Sadr Teaching Medical City in Najaf Governorate, Iraq and Royal Center for Jam during the period from December 2016 to May 2017. A questionnaire was designed to obtain the information of the patient group, which included name, age, gender, height, weight, waist, hips, complication and other diseases such as hypertension, diabetes mellitus, other endocrine disorders and cardiovascular disease. B-Controls: Twenty apparently healthy people were selected as the control group. Their age range was between 25 and 45 years, which was comparable to that of patients.

 

Blood sample collection

Venous fasting blood samples (10 mL) were collected from the patients and healthy volunteers after an overnight fasting. 2 mL blood samples were transferred to a tube containing ethylenediaminetetraacetic acid (EDTA), which was used for estimating HbA1c levels. The remaining 3 mL of blood was put at room temperature for 20 min for coagulation, after which the blood was put in centrifuge at 3000 rpm for 10 min. The serum was detached and brought into new plan tube and stored at -20 °C prior to the biochemical tests to determine BMI (kg/m2), fasting blood glucose (FBG) (mg/dL), HbA1c (%), perilipin-1 (ng/L) and lipid profile (mg/dL). Parameters such as fasting plasma glucose and lipid profile were measured through routine laboratory procedure. Blood glucose, cholesterol, high-density lipoprotein (HDL) cholesterol, triglyceride T.G. kit and glycated hemoglobin kits were measured using photometrical method (Biolabo, France); perilipin-1 was measured by using the sandwich enzyme-linked immunosorbent assay (ELISA) (Elabsceince, China); insulin was analyzed by using ELISA (Demeditic, Germany).

 

Statistical analysis

In this research, SPSS V 23.0 was used to perform statistical analysis and to manage the database of this study. Normality was examined using Kolmogorov-Smirnov test. Descriptive information was depicted as mean ± SD. Baseline and result factors were compared with paired T test. To assess the relationships of parameters following the operation, the Pearson correlation was utilized. A p value of <0.05 was taken to express significant statistical difference.

 

Results and Discussion

The characteristics of the study groups are presented in Table 1, which consists of the data of both patients with morbid obesity and the control group. They include the number, BMI, lipid profile, FBG, HbA1c and perilipin-1.

 

Levels of biochemical parameters of the 60 enrolled patients were summarized in Table 1. Significant increases of the levels of fasting blood glucose (p = 0.001), homeostasis model assessment for insulin resistance (HOMA-IR) (p = 0.003), perilipin-1 (p = 0.001), cholesterol (p = 0.003), triglycerides (p = 0.001), low-density lipoprotein (LDL) (P = 0.002), very-low-density lipoprotein (VLDL) (P = 0.001), HDL (P = 0.001) and HbA1c (p = 0.002) were obtained in morbid obesity patients group when compared with those of the control group. It was seen in Table 1 that the mean value of each  BMI for patients (45 ± 5.21 kg/m2) and for controls (22 ± 2.21kg/m2) was significant (p = 0.001) compared to controls and patients [12]. As illustrated in Fig. 1, the levels of perilipin-1 increased as the body mass increased [14]. This increase was due to that patients with high BMI (more than 40) had higher percent of lipid, and therefore they needed to depose it in their adipose tissues, for which reason high level of perilpin-1 was required to protect lipid droplet in adipose tissues (Fig. 1, Table 2) [15]. Fig. 2 & 3 demonsterate the relationship between blood sugar and HbA1c with relation to perilipin-1. It could be concluded that the blood glucose level (Fig. 2, Table 3) and HbA1c (Fig. 3, Table 4) would be elevated in those paitents as a result of HOMA-IR means which arised due to high level of perilipin-1 (Fig. 4, Table 5) [16]. The lipid profile parameters and their relationships with perilipin levels were studied in the plasma [17]. As shown in Fig. 5, a high level of perilipin-1 would induce insulin resistance which would be an indicator for low energy level inside cells (Table 6), and this mark would activate hormomes of fasting such as glucagon [18]. In Fig. 6, the hormonal state would induce lypolysis inside adipose tissues which would export free fatty acid and glycerol to the plasm to be used as an alternative source for energy (Table 7) [12]. As blood glucose level was elevatied and remained circulating in the plasma, the liver would utilze it in the minor pathways of glucose due to high energy level coming from beta-oxidation [19]. These minor pathways include include  denovo  synthesis of fatty acid and cholesterol [4]. As dmonstrated in Fig. 7, the liver would export  minor pathway products as a lipoprotein in the blood [5]. VLDL would be in high ratio in the blood, and during its circulation, an enzyme which was found in the walls of blood vesels would hydrolyze TG to free fatty acid and glycerol (Table 8), leaving cholesterol in high ratio inside lipoprotein ball which is called LDL [13]. This would make the ratio of LDL high in blood which consisted of cholestrol [20]. Fig. 8 and Table 9 reveal the result that the total cholestrol would rise with a high level of perilipin-1 [21].

 

Table 1 Anthropometric and clinical parameters

Parameter

Patient (n = 60)

Control (n = 20)

Range

Mean

±SD

Range

Mean

±SD

P-value

Weight(kg)

130-160

145

±14.21

60-71

65

±6.12

0.001

Length (m)

170-180

175

±6.42

168-182

177

±5.2

0.001

Waist (cm)

110-130

120

±8.30

83-88

85

±2.2

0.001

Hips (cm)

100-110

105.2

±2.41

0.99-1.10

92

±0.2

0.002

Waist/hips

0.92-1.32

1.12

±0.2

0.72-0.89

0.85

±0.31

0.001

BMI

40-51

45

±5.21

20.3-24.31

22.00

±2.21

0.001

TG

122-162

140.72

±22.57

20.00

50.25

±5.42

0.001

HDL

22.5-31.2

26.61

±4.37

26.60

113.04

±8.30

0.001

LDL

145.3-175.2

159.20

±15.04

9.55

14.72

±2.41

0.002

VLDL

22.6-33.5

28.21

±5.11

30.00

175.98

±7.75

0.001

Cholesterol

202.3-233.6

220.33

±18.20

0.98

175.96

±0.21

0.003

HbA1c

7.68

8.37

±2.06

31.87

92.38

±10.21

0.002

FBG

121.00

147.86

±25.85

0.81

75.93

±0.24

0.001

HOMA-IR

16.47

10.63

±4.40

1.09

2.75

±0.34

0.003

Perilipin-1

5.79

4.19

±1.10

5.51

17.18

±1.13

0.001

               

 

D:\xwu\Nano Biomedicine and Engineering\Articles for production\排版\9(4)\4篇文章\haat1.jpg

Fig. 1 Levels of perilipin-1 with relation to BMI.

 

Table 2 Results of linear regression analysis for perilipin-1 level with BMI of morbid obese patients

 

r

p

Perilipin-1

0.89

0.001

r: rank correlation coefficient

p: probability value

 

D:\xwu\Nano Biomedicine and Engineering\Articles for production\排版\9(4)\4篇文章\haat2.jpg

Fig. 2 The relationship between perilipin-1 and blood sugar.

 

Table 3 Results of linear regression analysis for perilipin-1 level with relation to fasting blood sugar of morbid obese patients

 

r

p

Perilipin-1

0.86

0.001

r: rank correlation coefficient

p: probability value

 

D:\xwu\Nano Biomedicine and Engineering\Articles for production\排版\9(4)\4篇文章\haat3.jpg

Fig. 3 The relationship between perilipin-1 and HbA1c.

 

Table 4 Results of linear regression analysis for perilipin-1 level with relation to HbA1c of morbid obese patients

 

r

p

Perilipin-1

0.88

0.001

r: rank correlation coefficient

p: probability value

 

D:\xwu\Nano Biomedicine and Engineering\Articles for production\排版\9(4)\4篇文章\haat4.jpg

Fig. 4 The relationship of perilipin with insulin resistance.

 

Table 5 Results of linear regression analysis for perilipin-1 level with relation to insulin resistance of morbid obese patients.

 

r

p

Perilipin-1

0. 90

0.001

r: rank correlation coefficient

p: probability value

 

D:\xwu\Nano Biomedicine and Engineering\Articles for production\排版\9(4)\4篇文章\haat5.jpg

Fig. 5 The relationship between perilipin-1 and cholesterol.

 

Table 6 Results of linear regression analysis for perilipin-1 level with relation to cholesterol  of morbid obese patients

 

r

p

Perilipin-1

0.91

0.001

r: rank correlation coefficient

p: probability value

 

D:\xwu\Nano Biomedicine and Engineering\Articles for production\排版\9(4)\4篇文章\haat6.jpg

Fig. 6 The relationship between perilipin-1 and LDL.

 

Table 7 Results of linear regression analysis for perilipin-1 level with relation to LDL of morbid obese patients

 

r

p

Perilipin-1

0.82

0.001

r: rank correlation coefficient

p: probability value

 

D:\xwu\Nano Biomedicine and Engineering\Articles for production\排版\9(4)\4篇文章\haat7.jpg

Fig. 7 The relationship between perilipin-1 and TG.

 

Table 8 Results of linear regression analysis for perilipin-1 level with relation to TG of morbid obese patients

 

r

p

Perilipin-1

0.96

0.001

r: rank correlation coefficient

p: probability value

 

D:\xwu\Nano Biomedicine and Engineering\Articles for production\排版\9(4)\4篇文章\haat8.jpg

Fig. 8 The relationship between perilipin-1 and VLDL

 

Table 9 Results of linear regression analysis for perilipin-1 level with relation to VLDL of morbid obese patients

 

r

p

Perilipin-1

0.77

0.001

r: rank correlation coefficient

p: probability value

 

Conclusions

In this research, it was noticed that protein that covered lipid droplet (perilipin-1) was in direct proportion with the amount of stored fat of adipocytes in adipose tissues. Change of perilipin-1 level was positively correlated with BMI, FBG, HbA1c, HOMA-IR and lipid profile. Our statistical data showed how the level of the perilipin-1 changed with BMI, FBG, HbA1c, HOMA-IR and lipid profile with comparison between patients and the control group. In addition, the level of perilipin-1 could be considered as a risk factor for many diseases such as diabetes, mellitus, atherosclerosis and fatty liver.

 

Conflict of Interests

The authors declare that no competing interest exists.

 

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Copyright© Hanaa addai Ali, Ali Abbas Abo Algon, Shukryia Shadhan Chyad, and Emad Abbas Jaffar Al-Mulla, 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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