IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i19p10168-d644657.html
   My bibliography  Save this article

Association between Selected Polymorphisms rs12086634, rs846910, rs4844880, rs3753519 of 11β-Hydroxysteroid Dehydrogenase Type 1 ( HSD11B1 ) and the Presence of Insulin Resistance in the Polish Population of People Living in Upper Silesia

Author

Listed:
  • Nikola Szweda-Gandor

    (Department of Internal Medicine, Diabetology and Nephrology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 40-155 Katowice, Poland)

  • Mirosław Śnit

    (Department of Internal Medicine, Diabetology and Nephrology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 40-155 Katowice, Poland)

  • Władysław Grzeszczak

    (Department of Internal Medicine, Diabetology and Nephrology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 40-155 Katowice, Poland)

Abstract

Background: Many factors influence the development of insulin resistance, among other genetic factors. Cortisol is one of the factors that has a significant impact on the development of insulin resistance. The proteins that have a substantial effect on blood cortisol levels include 11β-hydroxysteroid dehydrogenase type 1. HSD11B1 is a microsomal enzyme that catalyzes the conversion of the stress hormone cortisol to the inactive metabolite cortisone. Gene encoding HSD11B1 is located on 1q32.2. This study was designed to assess the association between four polymorphic sides in HSD11B1 (rs12086634, rs846910, rs4844880, rs3753519) between subjects with and without insulin resistance in the Polish population of people living in Upper Silesia. Methods: The study included a total of 507 consecutive patients, 374 (73.77%) with and 133 (26.23%) without insulin resistance. Results: The results show that there were no statistically significant differences in the distribution of genotypes and alleles of the examined polymorphisms of the 11β-hydroxysteroid dehydrogenase type 1 gene between subjects with and without insulin resistance (determined using the HOMA-IR, insulin resistance index) and that rs846910 and rs1208663 polymorphisms of the 11β-hydroxysteroid dehydrogenase type 1 gene in the examined subjects have a significant effect on the magnitude of the HOMA-IR insulin resistance index. Conclusions: The study results suggested that genetic variation of rs846910 and rs1208663 polymorphism of the HSD11B1 gene is related to the susceptibility to insulin resistance. Our results provide a basis to begin basic research on the role of the HSD11B1 gene in the pathogenesis of insulin resistance.

Suggested Citation

  • Nikola Szweda-Gandor & Mirosław Śnit & Władysław Grzeszczak, 2021. "Association between Selected Polymorphisms rs12086634, rs846910, rs4844880, rs3753519 of 11β-Hydroxysteroid Dehydrogenase Type 1 ( HSD11B1 ) and the Presence of Insulin Resistance in the Polish Popula," IJERPH, MDPI, vol. 18(19), pages 1-9, September.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:19:p:10168-:d:644657
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/19/10168/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/19/10168/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christian Fuchsberger & Jason Flannick & Tanya M. Teslovich & Anubha Mahajan & Vineeta Agarwala & Kyle J. Gaulton & Clement Ma & Pierre Fontanillas & Loukas Moutsianas & Davis J. McCarthy & Manuel A. , 2016. "The genetic architecture of type 2 diabetes," Nature, Nature, vol. 536(7614), pages 41-47, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Donghua Hu & Min Tan & Dongliang Lu & Brian Kleiboeker & Xuejing Liu & Hongsuk Park & Alexxai V. Kravitz & Kooresh I. Shoghi & Yu-Hua Tseng & Babak Razani & Akihiro Ikeda & Irfan J. Lodhi, 2023. "TMEM135 links peroxisomes to the regulation of brown fat mitochondrial fission and energy homeostasis," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
    2. Dixon, Padraig & Harrison, Sean & Hollingworth, William & Davies, Neil M. & Davey Smith, George, 2022. "Estimating the causal effect of liability to disease on healthcare costs using Mendelian Randomization," Economics & Human Biology, Elsevier, vol. 46(C).
    3. Oriol Juanola & Sebastián Martínez-López & Rubén Francés & Isabel Gómez-Hurtado, 2021. "Non-Alcoholic Fatty Liver Disease: Metabolic, Genetic, Epigenetic and Environmental Risk Factors," IJERPH, MDPI, vol. 18(10), pages 1-24, May.
    4. Hwee Hui Lau & Nicole A. J. Krentz & Fernando Abaitua & Marta Perez-Alcantara & Jun-Wei Chan & Jila Ajeian & Soumita Ghosh & Yunkyeong Lee & Jing Yang & Swaraj Thaman & Benoite Champon & Han Sun & Alo, 2023. "PAX4 loss of function increases diabetes risk by altering human pancreatic endocrine cell development," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    5. Aimee M. Deaton & Aditi Dubey & Lucas D. Ward & Peter Dornbos & Jason Flannick & Elaine Yee & Simina Ticau & Leila Noetzli & Margaret M. Parker & Rachel A. Hoffing & Carissa Willis & Mollie E. Plekan , 2022. "Rare loss of function variants in the hepatokine gene INHBE protect from abdominal obesity," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    6. Young Jin Kim & Sanghoon Moon & Mi Yeong Hwang & Sohee Han & Hye-Mi Jang & Jinhwa Kong & Dong Mun Shin & Kyungheon Yoon & Sung Min Kim & Jong-Eun Lee & Anubha Mahajan & Hyun-Young Park & Mark I. McCar, 2022. "The contribution of common and rare genetic variants to variation in metabolic traits in 288,137 East Asians," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    7. Xianyong Yin & Lap Sum Chan & Debraj Bose & Anne U. Jackson & Peter VandeHaar & Adam E. Locke & Christian Fuchsberger & Heather M. Stringham & Ryan Welch & Ketian Yu & Lilian Fernandes Silva & Susan K, 2022. "Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    8. Ting Fu & Kofi Amoah & Tracey W. Chan & Jae Hoon Bahn & Jae-Hyung Lee & Sari Terrazas & Rockie Chong & Sriram Kosuri & Xinshu Xiao, 2024. "Massively parallel screen uncovers many rare 3′ UTR variants regulating mRNA abundance of cancer driver genes," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    9. Niels Berg & Mar Rodríguez-Girondo & Ingrid K. Dijk & P. Eline Slagboom & Marian Beekman, 2023. "Increasing number of long-lived ancestors marks a decade of healthspan extension and healthier metabolomics profiles," Nature Communications, Nature, vol. 14(1), pages 1-13, December.

    More about this item

    Keywords

    selected polymorphism; HSD11B1 ; insulin resistance;
    All these keywords.

    JEL classification:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:19:p:10168-:d:644657. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.