Zaki M, Hussein J, Ibrahim A. M. M, Youness E. R. Circulating Plasma Free Fatty Acids, Insulin Resistance and Metabolic Markers in Obese Women. Biomed Pharmacol J 2020;13(4).
Manuscript received on :15-Sep-2020
Manuscript accepted on :14-Dec-2020
Published online on: --
Plagiarism Check: Yes
Reviewed by: Tejaswi Chavan
Second Review by: Mohamed Ali
Final Approval by: Ayush Dogra

How to Cite    |   Publication History
Views  Views: 
Visited 1,021 times, 1 visit(s) today
 
Downloads  PDF Downloads: 
892

Moushira Zaki1, Jihan Hussein2, Amr M.M. Ibrahim2 and Eman R. Youness2

1Biological Anthropology Department, Medical Research Division, National Research Centre, Giza, Egypt.

2Medical Biochemistry Department, Medical Research Division, National Research Centre, Giza, Egypt.

Corresponding Author E-mail: jihan_husein@yahoo.com

DOI : https://dx.doi.org/10.13005/bpj/2034

Abstract

Objectives:Elevation of free fatty acids (FFAs) in serum is an importantrisk factor for metabolic changes.Conversely, the relationship between obesity and metabolic abnormalities, and FFAsis not yet completely understood.Thus,we aimed in this study to explore the relationship and the association between insulin resistance (IR), metabolic markers and the variation inplasmaFFAs among the obese women. Methods:This study included fifty obese women aged 25–35 years and has insulin resistance (IR)in addition to fifty age-matched healthy normal weightwomen served as control group.Blood was withdrawn after twelve hours fasting;fasting blood glucose, lipidsand plasma insulinwere estimated;IR was assessedvia the Homeostasis Model Assessment-Insulin Resistance (HOMA-IR).Fatty acids in plasma were measured by HPLC using UV detector that was set at 200 nm.Indeed, anthropometric measurements was performed . Results:Lipid profile, fasting blood sugar, insulin resistance, oleic acids (OA), linoleic acid (LA), arachidonic acid (AA) and anthropometric measurements were significantly increased in IR women compared to control. Whereas, the mean value levels of alpha-linolenicacid(ALA)was  significantly decreased in IR women compare to controls. Conclusion:lower plasma levels of ALA and higher levels of AA, OA, LA were significantly associated with risk of  IR and metabolic disorder markers in obese women.These results might explain the positive benefits of foods rich with poly unsaturated fatty acids (PUFA).Obesity and IR may be associated with the alterations in composition of the circulating fatty acid.These findings underscore the potential role of PUFA in the metabolic syndrome pathogenesis.

Keywords

Fatty Acids; Insulin Resistance; Metabolic Markers; Obese Women

Download this article as: 
Copy the following to cite this article:

Zaki M, Hussein J, Ibrahim A. M. M, Youness E. R. Circulating Plasma Free Fatty Acids, Insulin Resistance and Metabolic Markers in Obese Women. Biomed Pharmacol J 2020;13(4).

Copy the following to cite this URL:

Zaki M, Hussein J, Ibrahim A. M. M, Youness E. R. Circulating Plasma Free Fatty Acids, Insulin Resistance and Metabolic Markers in Obese Women. Biomed Pharmacol J 2020;13(4). Available from: https://bit.ly/2LXlJub

Introduction

Obesity is mainly in alliance with the risk of numerous diseases as nonalcoholic fatty liver, cardiovasculardisease (CVD) and diabetes mellitus. When the nutrient intake exceeds the body needs, tissues such as adipose and skeletal and also other body organs like liver become saturated with lipids and resulting in an elevation of lipid export leading to liberation of huge amount of FFAs1 . Previous epidemiologic studies indicated  that individuals with higher levels of plasma FFAs were at increased risk for type 2 diabetes (T2D) 2. Free fatty acids (FFAs) are an imperative energy resource human body, and attached to nuclear peroxisomal proliferated-activated receptors (PPARs) interposinggenes expression implicated in the metabolism of both lipidsand glucose3,4. AA ,the omega – 6 fatty acid is found in the cell membrane phospholipids, and the originator of a hugebioactive compounds family  called   eicosanoids, that are generated via its oxygenation. The liberation of AA from the cell membraneis depending on several enzymes. Additionally, elevation of FFAs levels is linked to insulin resistance through the reduction of glucose transporters  and glycogen synthesis5.It was found that plasmaFFA levels are elevated in obese patients and it was hypothesized that increasing of FFAlevels is an important mark of obesity-associated metabolic syndrome. In addition, obesity is associated with elevation of free radicals and oxidative stress that produced as normal endproductsof thecellular metabolism and also during inflammation processby phagocytosis.In adipose tissue insulin resistance leads to increased lipolysis and subsequentlyto increase in the liberation of free FAs, which is the chiefsource of triglycerides stored in the liver.

Consequently, weaimedin this study to give a clear picture about the relationship between insulin resistance and  plasma fatty acid in obese women and assess its associations with metabolic markers.

Subjects and Methods

Subjects

This studyisinvolved 100 women(unrelated); 50age-matched healthy women&50 obese women with IR. Theirage was among 21 and 36 years. These cases were indicated from diverse centers to the National Research Centre obesity clinic. The treatise has been authorized by the Ethical Committee of NRC, Egypt (number: 16361), in agreement with the World Medical Association’s Declaration of Helsinki.

Methods

Clinical and biochemical parameters

BMI(Body mass index) was calculated as weight in kilograms divided by height in meters square (kg/m2). MUAC(Mid upper arm circumference) was measured by a resilient tape at the midway between acromial process on the upper right arm with the elbow flexed 90oand the olecranon. Hip circumference (HC)and Waist circumference (WC) were measured in cm. Waist-to-hip ratio (WHR) was calculated. Fat mass was measured by Tanita Body Composition Analyzer (SC-330).

After 12 hours fasting, blood was collected from allpatients, and serum was separated. Blood glucose(fasting)was assessed immediately by enzymatic colorimetric methodCentronic, Germany 6. Insulin level was assessedby ELISA. Whereas, insulin resistance (HOMA-IR) was calculated from the formula: Fasting plasma glucose (mmol/l) period serum insulin level(mU/l) /405. High HOMA-IR values referred tohigh insulin resistance, whereas Low HOMA-IR values indicate high insulinsensitivity as described previously7 .

Aspartate amino transferase(AST)and alanine amino transferase (ALT) in serum were assessed using commercial kit from BioMed Diagnostics according to the method described by8 .

Serum triglycerides (TG) and serum total cholesterol (TC) were determinedby enzymatic colorimetric method. Additionally, high-density lipoprotein cholesterol (HDL-C) wasestimated. Dependently low-density lipoprotein cholesterol (LDL-C) was calculated from the equation mentioned beforeas follow: LDL – C = TC – (HDL- C + TG/5)

Estimation of fatty acids using HPLC

Fractions of fatty acids were assessed sing HPLC, Agilent technologies 1100, equipped with a quaternary pump (model G131A) as described previously10,11.

Fatty acids HPLC standards grade (LA, ALA, OA, AA, DHA) were purchased from Sigma Chemical (Munich, Germany). Acetonitrile, methanol, ethanol, N-hexane, 2-propanol and other laboratory chemicals in this study were HPLC grade. Ultra-pure water was used for all experimental work and analysis12.

Sample preparation

Plasma was homogenized in a solution consists of 2 % acetic acid: ethyl ether mixture (2:1) v/v. This solution was centrifuged at 3000 rpm using cooling centrifuge; the organic layer was evaporated under nitrogen gas untilcomplete dryness. Theresultant residue dissolved in acetonitrile (400 μl)and filtered using hydrophilic PVDF 0.45 μ m before injection.

HPLC condition

Thetechnique was done by RP(reversed phase) HPLC column (260 X 4.6, particle size 5μl) and the used mobile phase was consisted of  70 % acetonitrileby isocratic elution by flow rate 1 ml/min and ;UV detector was at 200 nm. Sequential dilutions of each standard were injected and their corresponding peak zones were specified. The mean values of each fatty acid in all samples were calculated from the linear standard curve.

Statistical Analysis

We performed the statistical analyses using SPSS16.0 for Windows (SPSS Inc). Two-tailed P<0.05 was considered statistically significant.

Results

Table 1 displayed significant differences in anthropometric parameters between IR cases and controls. Obese IR women had significantly higher levels of BMI, body fat %, MUAC and WC than controls (p<.05). In addition, no significant changes were observed in fasting blood sugar, lipid profile, and liver functions between the two studied groups; however insulin and insulin resistance were significantly augmented in obese women compared to control (table 2, 3).

Table 1: Anthropometric measurements in studied groups.

 

Variables

 

Group  Mean ± SD P value
Age Controls 33.67±10.735  

0.121

 

IR 36.24 ± 9.595
Body mass index (BMI) Controls 23.05 ± 4.65  

0.05

 

IR 28.01± 6.63
Body fat % Controls 23.71 ± 8.61  

0.001

 

IR 35.52 ±12.93
Mid upper arm circumference (MUAC) Controls 30.66 ± 3.25  

0.001

 

IR 34.04 ± 4.87
WC Controls 89.17 ± 11.73  

0.001

 

IR 100.93 ± 14.55
WHR Controls .829 ± 0.07  

0.33

 

IR .840 ± 0.067

All data are expressed as mean± SD

P: significant difference (<0.05) in insulin resistance ( IR) group compared to control

P: High significant difference (<0.001) in insulin resistance ( IR) group compared to control

Table 2: Fasting blood sugar, insulin resistance and insulin in studied groups.

 Variables  

Group

 

 Mean ± SD  P value
FBG (mg/dL) Controls 93.45 ± 33.61  

0.49

 

IR 97.84 ± 41.76
Insulin( IU/ml) Controls 10.3 ±4.9  

0.05

 

IR 16.7 ±5.1
HOMA Controls 3.3 ± 1.2  

0.05

 

IR 6.4 ± 2.5

All data are expressed as mean± SD

P: significant difference (<0.05) in insulin resistance ( IR) group compared to control

P: High significant difference (<0.001) in insulin resistance ( IR) group compared to control

Table 3: Liver functions and lipid profile in studied groups.

Variables  

Group

 

 Mean ± SD  P value
ALT (U/L) Controls 15.38 ± 8.50  

0.08

 

IR 19.23 ± 18.07
AST (U/L) Controls 20.22 ± 5.433  

0.16

 

IR 22.45 ± 13.50
TC (mg/dL) Controls 197.12 ± 37.38  

0.85

 

IR 195.60 ± 38.43
TG (mg/dL) Controls 98.86 ± 49.29  

0.73

 

IR 101.60 ± 40.88
HDL-C (mg/dL) Controls 47.84 ± 11.25  

0.21

 

IR 50.45 ± 13.54
LDL-C (mg/dL) Controls 128.58 ± 43.45  

0.72

 

IR 125.91 ±43.376

All data are expressed as mean± SD

P: significant difference (<0.05) in insulin resistance ( IR) group compared to control.

P: High significant difference (<0.001) in insulin resistance ( IR) group compared to control.

Table 4 appeared significant changes in fatty acids fractionation between obese women and control. Thus, the mean value level of OA,LA,and AA was significantly increased along with a significant reduction in ALA in obese group in comparison to control.

Table 4: Plasma fatty acids  (μg/ml ) in studied groups.

Variables  

Group

 

 Mean ± SD  P value
Oleic acid (OA)

μg/ml

Controls 4.53 ± 3.31  

0.001

 

IR 6.56 ± 3.50
 

Linoleic acid (LA)

 

Controls 6.13 ± 5.19  

0.002

 

IR 10.34 ± 4.14
Archidonic acid (AA) Controls 7.12 ± 4.69  

0.001

 

IR 11.30 ± 4.79
alpha-linolenic acid (ALA) Controls 4.54 ± 0.27  

0.001

 

IR 2.41± 0.38

Discussion

Obesity causes numerous metabolic dysregulations including alteration of lipid profile (cholesterol and triglycerides), besides  glucose homeostasis including alteration of insulin  and its resistance in addition to deteriorationof pro and anti-inflammatorystatus13,14,15. Owing to the hyperlipolytic properties of the visceral adiposity, surplus visceral fat liberates huge quantity of fatty acids; thus, inflow of fatty acids from visceral adipose tissues to the liver through the portal vein is augmented. Furthermore, Nielsen et al. 16elucidatedthat fatty acid liberation from visceral fat into hepatocytes influencedas visceral fat mass augmented. This leads to elevated fatty acid in hepatocytes. Accordingly, stimulating synthesis and secretion of TGin the liverthrough its integration into TG-rich lipoproteinslike very low-density lipoproteins (VLDLs)17 circulating TG is augmenteddue to cumulatingvisceral fat. Furthermore, both the concentrations of the systemic circulating fatty acids and fatty acids in the portal vein levels observedpositive and significant correlations with visceral adipose tissues. In this work, the mean value levels of omega- 3 fatty acids were significantly decreased in obese women compared to control; whereas the mean value levels of omega6 & omega9 were significantly elevated in obese.

The elevation of omega 6 and 9 fatty acids and also the reduction of omega-3 in obese women in this study are linked to the elevation of insulin resistance as appeared in tables2 and 4.

The composition of fatty acids could clarify a phenomenaincludingthe relationship betweeninsulin and its receptors.It was indicated that,thecell membrane fatty acids composition of insulin target tissues, as skeletal muscle &liver, is animportant factor that affects each of insulin production and its vital actions.  Consequently, membranes enrich in omega- 3 fatty acids like AL Ahave a tendency to bind more insulin than membrane enrich in omega-6 and 9 fatty acids. Elevation of free fatty acids like unsaturated and omega6 fatty acids results in increase of the fatty acyl-CoA (FAcyl CoA) and diacylglycerol (DAG) concentrations ,resulting in initiation and activation  of protein kinase C isoform (PKC-ε) which leads toelevation of insulin receptor substrate-1(IRS-1) serine phosphorylation. Sequentially a reduction of IRS-1 tyrosine phosphorylation &IRS-1 related phosphatidyleinositol 3-kinase (PI3-K) activity causea reduction of insulin –stimulating glucose transport action18 .

Contrarily, ALAimproved insulin sensitivity viarising the responsibility of glucose transporter -4(GLUT-4),that leads to adevelopment of glucose-6- phosphate19.Indeed, Kato et al.,20stated that GLUT-4 inALA treated mice was betterby 250% whencompared to that in control group.

Concomitantly,Hussein et al.,21indicated that flaxseed oil (a plant source of omega-3 fatty acids) has a positiveimpact on reducing insulin resistance in diabetic animalsviascavenging properties of free radicals & increasing antioxidant enzymes. This impact may be due to the up regulation gene expression of antioxidants enzymes and down regulation gene linked with  the establishment offree radicals22.

The composition of fatty acid (FA) in serum lipid esters is a mirror to particular extent thedietary composition ofFA during the last 6 to 8 weeks. The serum FA pattern is also dependenton the metabolism of FA and their endogenous synthesis. Also depends on intrauterine &prenatal programming and genetic variation 23.Low levels of linoleic acid (18:2, n-6) &high levels of palmitic acid (16:0) in plasma are characteristic for individualswith metabolic syndrome and insulin resistance24. Arachidonic acid (AA) acts as a powerful negative modulatorof glucose uptake25 and researches have elucidatedelevatedserum levels of arachidonic acid in diabetic subjects in comparison with normal controls26.Thus, the datahave been in agreement with teresearchesthat haveshown a positive relationship between insulin resistanceandAA20,21.

Conclusions

Obesity and IR may be associated with the alterations in composition of the circulating fatty acid.The current study appeared the association of omega6 and 9 fatty acids with insulin resistance and hyperlipidemia.Additionally, these findings underscore the potential role of UFAs in the MS pathogenesis.

Acknowledgments

This work was corroborated by grant from National Research Centre, Egypt.

Conflict of Interest

All authors declared that they have no conflict of interest.

References

  1. Fabbrini E, Sullivan S, Klein S. Obesity and nonalcoholic fatty liver disease: biochemical, metabolic, and clinical implications. Hepatology, 51, 679–89 (2010).
    CrossRef
  2. Pankow JS, Duncan BB, Schmidt MI, Ballantyne CM, Couper DJ, Hoogeveen RC, Golden SH. Fasting plasma free fatty acids and risk of type 2 diabetes: the atherosclerosis risk in communities study. Diabetes Care, 27, 77–82 (2004).
    CrossRef
  3. Ferré P. The biology of peroxisome proliferator-activated receptors: relationship with lipid metabolism and insulin sensitivity. Diabetes, 53, S43–50 (2004).
    CrossRef
  4. McArthur MJ, Atshaves BP, Frolov A, Foxworth WD, Kier AB, Schroeder F. Cellular uptake and intracellular trafficking of long chain fatty acids. Lipid Res., 40, 1371–83 (1999).
  5. Hussein J, El-Khayat Z, Moify M. Study of arachidonic acid releasing     status in diabetic rats treated with flaxseed oil.  Int J Pharm Pharm Sci ., 8 Issue 4 304-306. (2016).
  6. Hussein J, El-Naggar M, Badawy E  , El-laithy N , El-Waseef M ,  Hassan H  ,  Abdel-Latif Y.Homocysteine and   Asymmetrical Dimethylarginine in Diabetic Rats Treated with Docosahexaenoic Acid–Loaded Zinc Oxide Nanoparticles. Appl Biochem Biotechnol , 191:1127–1139 (2020).
    CrossRef
  7. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia, 28, 412–9 (1985).
    CrossRef
  8. Reitman S, Frankel S. A colorimetric method for the determination of serum glutamic oxalacetic and glutamic pyruvic transaminases. J. Clin. Pathol., 28, 56–63 (1957).
    CrossRef
  9. Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Chem., 18, 499–502 (1972).
    CrossRef
  10. Hussein J, El-Naggar ME, Latif YA, Medhat D, El Bana M, Refaat E, Morsy S. Solvent-free and one-pot synthesis of silver and zinc oxide nanoparticles: activity toward cell membrane component and insulin signaling pathway in experimental diabetes. Colloids Surfaces B Biointerfaces, 170, 76–84 (2018).
    CrossRef
  11. Hussein JS, El-Khayat Z, Morsy S, Oraby F, Singer GG. The effect of fish oil on oxidant/antioxidant status in diabetic rats through the reduction of arachidonic acid in the cell membrane. J. Pharm. Sci., 6, 196–9 (2014).
  12. Hussein J, Attia MF, El Bana M, El-Daly SM, Mohamed N, El-Khayat Z, El-Naggar ME. Solid state synthesis of docosahexaenoic acid-loaded zinc oxide nanoparticles as a potential antidiabetic agent in rats. J. Biol. Macromol., 140, 1305–14 (2019).
    CrossRef
  13. Després J-P. Health consequences of visceral obesity. Med., 33, 534–41 (2001).
    CrossRef
  14. Girard J, Lafontan M. Impact of visceral adipose tissue on liver metabolism and insulin resistance. Part II: Visceral adipose tissue production and liver metabolism. Diabetes Metab., 34, 439–45 (2008).
    CrossRef
  15. Lafontan M, Girard J. Impact of visceral adipose tissue on liver metabolism: Part I: Heterogeneity of adipose tissue and functional properties of visceral adipose tissue. Diabetes Metab., 34, 317–27 (2008).
    CrossRef
  16. Nielsen S, Guo Z, Johnson CM, Hensrud DD, Jensen MD. Splanchnic lipolysis in human obesity. Clin. Invest., 113, 1582–8 (2004).
    CrossRef
  17. Jensen MD. Is visceral fat involved in the pathogenesis of the metabolic syndrome? Human model. Obesity, 14, 20S-24S (2006).
    CrossRef
  18. Hussein JS. Cell membrane fatty acids and health. Int J Pharm Pharm Sci, 5, 38–46 (2013).
  19. Dey D, Bhattacharya A, Roy S, Bhattacharya S. Fatty acid represses insulin receptor gene expression by impairing HMGA1 through protein kinase Cε. Biophys. Res. Commun., 357, 474–9 (2007).
    CrossRef
  20. Kato M, Miura T, Nakao M, Iwamoto N, Ishida T, Tanigawa K. Effect of alpha-linolenic acid on blood glucose, insulin and GLUT4 protein content of type 2 diabetic mice. Heal. Sci., 46, 489–92 (2000).
    CrossRef
  21. Hussein J, El-Khayat Z, Taha M, Morsy S, Drees E, Khateeb S. Insulin resistance and oxidative stress in diabetic rats treated with flaxseed oil. J Med Plants Res, 6, 5499–506 (2012).
  22. Harding AH, Day NE, Khaw KT, Bingham SA, Luben RN, Welsh A, Wareham NJ. Habitual fish consumption and glycated haemoglobin: the EPIC-Norfolk study. J. Clin. Nutr., 58, 277–84 (2004).
    CrossRef
  23. Vessby B, Gustafsson I, Tengblad S, Boberg M, Andersson A. Desaturation and elongation of fatty acids and insulin action. N. Y. Acad. Sci., 967, 183–95 (2002).
    CrossRef
  24. Vessby B. Dietary fat, fatty acid composition in plasma and the metabolic syndrome. Opin. Lipidol., 14, 15–9 (2003).
    CrossRef
  25. Tebbey PW, McGowan KM, Stephens JM, Buttke TM, Pekala PH. Arachidonic acid down-regulates the insulin-dependent glucose transporter gene (GLUT4) in 3T3-L1 adipocytes by inhibiting transcription and enhancing mRNA turnover. Biol. Chem., 269, 639–44 (1994).
  26. Simopoulos AP. Omega‐6/Omega‐3 Fatty Acid Ratio and Trans Fatty Acids in Non‐Insulin‐dependent Diabetes Mellitus. N. Y. Acad. Sci., 827, 327–38 (1997).
    CrossRef
Share Button
Visited 1,021 times, 1 visit(s) today

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.