The effects of canola and olive oils consumption compared to sunflower oil, on lipid profile and hepatic steatosis in women with polycystic ovarian syndrome: a randomized controlled trial

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Abstract

Background

Polycystic Ovarian Syndrome (PCOS) is one of the most common endocrinopathies and metabolic disorders in women during their reproductive years. It is often associated with dyslipidemia and other risk factors of cardiovascular diseases (CVD). This study was aimed to evaluate dietary intervention effects with canola and olive oils compared to sunflower oil on lipid profile and fatty liver severity among women with PCOS.

Method

This study was a 10-week intervention including 72 women with PCOS. Patients were randomly assigned to three groups for receiving 25 g/day canola, olive, or sunflower oils for 10 weeks. The primary and secondary outcomes were to assess changes in lipid profile and in fatty liver severity, respectively.

Result

At the end of the study, 72 patients with a mean age of 29.31 were analysed. Canola oil consumption resulted in a significant reduction in serum levels of TG ( P = 0.002) and TC/HDL ( P = 0.021), LDL/HDL ( P = 0.047), and TG/HDL ( P = 0.001) ratios, however, there was no significant reduction in lipid profile following olive oil consumption. Canola ( P < 0.001) and olive oils ( P = 0.005) could significantly reduce the fatty liver grade. Moreover, HOMA-IR in both canola ( P < 0.001) and olive ( P = 0.004) groups was significantly decreased.

Conclusion

In total, compared to olive and sunflower oils, significant improvements in lipid profile, liver function, and HOMA-IR were observed following canola oil consumption in women with PCOS.

Trial registration

IR.MUI.RESEARCH.REC.1397.315. Registered 30 JUNE 2019 - Retrospectively registered, https://www.irct.ir/trial/38684

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Most cited references 95

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Homeostasis model assessment: insulin resistance and ?-cell function from fasting plasma glucose and insulin concentrations in man

D. Matthews, J Hosker, A Rudenski … (1985)

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Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans.

S Nambi, K Mather, A. Katz … (2000)

Insulin resistance plays an important role in the pathophysiology of diabetes and is associated with obesity and other cardiovascular risk factors. The "gold standard" glucose clamp and minimal model analysis are two established methods for determining insulin sensitivity in vivo, but neither is easily implemented in large studies. Thus, it is of interest to develop a simple, accurate method for assessing insulin sensitivity that is useful for clinical investigations. We performed both hyperinsulinemic isoglycemic glucose clamp and insulin-modified frequently sampled iv glucose tolerance tests on 28 nonobese, 13 obese, and 15 type 2 diabetic subjects. We obtained correlations between indexes of insulin sensitivity from glucose clamp studies (SI(Clamp)) and minimal model analysis (SI(MM)) that were comparable to previous reports (r = 0.57). We performed a sensitivity analysis on our data and discovered that physiological steady state values [i.e. fasting insulin (I(0)) and glucose (G(0))] contain critical information about insulin sensitivity. We defined a quantitative insulin sensitivity check index (QUICKI = 1/[log(I(0)) + log(G(0))]) that has substantially better correlation with SI(Clamp) (r = 0.78) than the correlation we observed between SI(MM) and SI(Clamp). Moreover, we observed a comparable overall correlation between QUICKI and SI(Clamp) in a totally independent group of 21 obese and 14 nonobese subjects from another institution. We conclude that QUICKI is an index of insulin sensitivity obtained from a fasting blood sample that may be useful for clinical research.

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Use and abuse of HOMA modeling.

T Wallace, J Levy, D. Matthews (2004)

Homeostatic model assessment (HOMA) is a method for assessing beta-cell function and insulin resistance (IR) from basal (fasting) glucose and insulin or C-peptide concentrations. It has been reported in >500 publications, 20 times more frequently for the estimation of IR than beta-cell function. This article summarizes the physiological basis of HOMA, a structural model of steady-state insulin and glucose domains, constructed from physiological dose responses of glucose uptake and insulin production. Hepatic and peripheral glucose efflux and uptake were modeled to be dependent on plasma glucose and insulin concentrations. Decreases in beta-cell function were modeled by changing the beta-cell response to plasma glucose concentrations. The original HOMA model was described in 1985 with a formula for approximate estimation. The computer model is available but has not been as widely used as the approximation formulae. HOMA has been validated against a variety of physiological methods. We review the use and reporting of HOMA in the literature and give guidance on its appropriate use (e.g., cohort and epidemiological studies) and inappropriate use (e.g., measuring beta-cell function in isolation). The HOMA model compares favorably with other models and has the advantage of requiring only a single plasma sample assayed for insulin and glucose. In conclusion, the HOMA model has become a widely used clinical and epidemiological tool and, when used appropriately, it can yield valuable data. However, as with all models, the primary input data need to be robust, and the data need to be interpreted carefully.

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All references

Author and article information

Contributors

Maryam Yahay: Maryam.yahay@gmail.com

Zahra Heidari: Heidarizahra@hlth.mui.ac.ir

Zahra Allameh: Z_allameh@gmail.com

Reza Amani:

ORCID: http://orcid.org/0000-0002-0074-4080

r_amani@nutr.mui.ac.ir

Journal

Journal ID (nlm-ta): Lipids Health Dis

Journal ID (iso-abbrev): Lipids Health Dis

Title: Lipids in Health and Disease

Publisher: BioMed Central (London )

ISSN (Electronic): 1476-511X

Publication date (Electronic): 29 January 2021

Publication date PMC-release: 29 January 2021

Publication date Collection: 2021

Volume: 20

Electronic Location Identifier: 7

Affiliations

[1 ]GRID grid.411036.1, ISNI 0000 0001 1498 685X, Nutrition and Food Sciences, , Isfahan University of Medical Sciences, ; Isfahan, Iran

[2 ]GRID grid.411036.1, ISNI 0000 0001 1498 685X, Metabolic Liver Disease Research Center, , Isfahan University of Medical Sciences, ; Isfahan, Iran

[3 ]GRID grid.411036.1, ISNI 0000 0001 1498 685X, Department of Biostatistics and Epidemiology, School of Health, , Isfahan University of Medical Sciences, ; Isfahan, Iran

[4 ]GRID grid.411036.1, ISNI 0000 0001 1498 685X, Department of Obstetrics and Gynecology, Medical School, , Isfahan University of Medical Sciences, ; Isfahan, Iran

[5 ]GRID grid.411036.1, ISNI 0000 0001 1498 685X, Food Security Research Center, , Isfahan University of Medical Sciences, ; Isfahan, Iran

Author information

Reza Amani http://orcid.org/0000-0002-0074-4080

Article

Publisher ID: 1433

DOI: 10.1186/s12944-021-01433-9

PMC ID: 7844999

PubMed ID: 33514384

SO-VID: 6a2133a7-d8d5-4c8c-91d6-e090b210d540

License:

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

History

Date received : 24 September 2020

Date accepted : 14 January 2021

Custom metadata

ScienceOpen disciplines: Biochemistry

Keywords: polycystic ovary syndrome,canola oil,olive oil,lipid profile,fatty liver,polyunsaturated fatty acid,monounsaturated fatty acid,homa-ir,shbg

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ScienceOpen disciplines: Biochemistry

Keywords: polycystic ovary syndrome, canola oil, olive oil, lipid profile, fatty liver, polyunsaturated fatty acid, monounsaturated fatty acid, homa-ir, shbg

The effects of canola and olive oils consumption compared to sunflower oil, on lipid profile and hepatic steatosis in women with polycystic ovarian syndrome: a randomized controlled trial

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Abstract

Background

Method

Result

Conclusion

Trial registration

Related collections

Journal of Circulating Biomarkers

Most cited references 95

Homeostasis model assessment: insulin resistance and ?-cell function from fasting plasma glucose and insulin concentrations in man

Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans.

Use and abuse of HOMA modeling.

Author and article information

Contributors

Journal

Affiliations

Author information

Article

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