IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0015745.html
   My bibliography  Save this article

Associations between APOE Variants and Metabolic Traits and the Impact of Psychological Stress

Author

Listed:
  • Sofia I Iqbal Kring
  • John Barefoot
  • Beverly H Brummett
  • Stephen H Boyle
  • Ilene C Siegler
  • Søren Toubro
  • Torben Hansen
  • Arne Astrup
  • Oluf Pedersen
  • Redford B Williams
  • Thorkild I A Sørensen

Abstract

Objective: In a previous study, we observed that associations between APOE rs439401 and metabolic traits were moderated by chronic stress. Thus, in a population of stressed and non-stressed Danish men, we examined whether associations between APOE rs439401 and a panel of metabolic quantitative traits, all metabolic traits which may lead to T2D and CVD were moderated by psychological stress. Methods: Obese young men (n = 475, BMI≥31.0 kg/m2) and a randomly selected control group (n = 709) identified from a population of 141,800 men were re-examined in two surveys (S-46: mean age 46, S-49: mean age 49 years) where anthropometric and biochemical measures were available. Psychological stress factors were assessed by a self-administered 7-item questionnaire. Each item had the possible response categories “yes” and “no” and assessed familial problems and conflicts. Summing positive responses constituted a stress item score, which was then dichotomized into stressed and non-stressed. Logistic regression analysis, applying a recessive genetic model, was used to assess odds ratios (OR) of the associations between APOE rs439401 genotypes and adverse levels of metabolic traits. Results: The APOE rs439401 TT-genotype associated positively with BMI (OR = 1.09 [1.01; 1.17]), waist circumference (OR = 1.09 [1.02; 1.17]) in stressed men at S-46. Positive associations were observed for fasting plasma glucose (OR = 1.42 [1.07; 1.87]), serum triglycerides (OR = 1.41 [1.05; 1.91]) and with fasting plasma insulin (OR = 1.48 [1.05; 2.08]) in stressed men at S-49. Rs439401 TT-genotype also associated positively with surrogate measures of insulin resistance (HOMA-IR; OR = 1.21 [1.03; 1.41]) and inversely with insulin sensitivity (Stumvoll index; OR = 0.90 [0.82; 0.99], BIGTT-SI; OR = 0.60 [0.43; 0.85]) in stressed men. No significant associations were observed in non-stressed men, albeit the estimates showed similar but weaker trends as in stressed men. Conclusion: The present results suggest that the APOE rs439401 TT-genotype is associated with an adverse metabolic profile in a population of psychologically stressed Danish men.

Suggested Citation

  • Sofia I Iqbal Kring & John Barefoot & Beverly H Brummett & Stephen H Boyle & Ilene C Siegler & Søren Toubro & Torben Hansen & Arne Astrup & Oluf Pedersen & Redford B Williams & Thorkild I A Sørensen, 2011. "Associations between APOE Variants and Metabolic Traits and the Impact of Psychological Stress," PLOS ONE, Public Library of Science, vol. 6(1), pages 1-5, January.
    • Handle: RePEc:plo:pone00:0015745
    DOI: 10.1371/journal.pone.0015745
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0015745
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0015745&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0015745?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Steven E. Kahn & Rebecca L. Hull & Kristina M. Utzschneider, 2006. "Mechanisms linking obesity to insulin resistance and type 2 diabetes," Nature, Nature, vol. 444(7121), pages 840-846, December.
    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. Yangchang Zhang & Yang Xiong & Jia Dong & Tingting Guo & Xiaoman Tang & Yong Zhao, 2018. "Caffeinated Drinks Intake, Late Chronotype, and Increased Body Mass Index among Medical Students in Chongqing, China: A Multiple Mediation Model," IJERPH, MDPI, vol. 15(8), pages 1-12, August.
    2. Yerbolat Saruarov & Gulnaz Nuskabayeva & Mehmet Ziya Gencer & Karlygash Sadykova & Mira Zhunissova & Ugilzhan Tatykayeva & Elmira Iskandirova & Gulmira Sarsenova & Aigul Durmanova & Abduzhappar Gaipov, 2023. "Associations of Clusters of Cardiovascular Risk Factors with Insulin Resistance and Β-Cell Functioning in a Working-Age Diabetic-Free Population in Kazakhstan," IJERPH, MDPI, vol. 20(5), pages 1-11, February.
    3. Mingzhu Zhou & Na Zhang & Yu Zhang & Xinyu Yan & Muxia Li & Wen Guo & Xiaohui Guo & Hairong He & Kaiwei Guo & Guansheng Ma, 2021. "Effect of Mobile-Based Lifestyle Intervention on Weight Loss among the Overweight and Obese Elderly Population in China: A Randomized Controlled Trial," IJERPH, MDPI, vol. 18(16), pages 1-13, August.
    4. Wiki, Jesse & Kingham, Simon & Campbell, Malcolm, 2021. "A geospatial analysis of Type 2 Diabetes Mellitus and the food environment in urban New Zealand," Social Science & Medicine, Elsevier, vol. 288(C).
    5. Xin Guo & Li Shen & Jing Dou & Yaogai Lv & Anning Zhang & Fanchao Shi & Zhiqiang Xue & Yaqin Yu & Lina Jin & Yan Yao, 2017. "Associations of Fasting Blood Glucose with Influencing Factors in Northeast China: A Quantile Regression Analysis," IJERPH, MDPI, vol. 14(11), pages 1-11, November.
    6. Xuanming Guo & Pallavi Asthana & Lixiang Zhai & Ka Wing Cheng & Susma Gurung & Jiangang Huang & Jiayan Wu & Yijing Zhang & Arun Kumar Mahato & Mart Saarma & Mart Ustav & Hiu Yee Kwan & Aiping Lyu & Ku, 2024. "Artesunate treats obesity in male mice and non-human primates through GDF15/GFRAL signalling axis," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    7. Aguilar, Arturo & Gutierrez, Emilio & Seira, Enrique, 2021. "The effectiveness of sin food taxes: Evidence from Mexico," Journal of Health Economics, Elsevier, vol. 77(C).
    8. Dezhong Chen & Ziyun Liang & Huimin Sun & Ciyong Lu & Weiqing Chen & Harry H. X. Wang & Vivian Yawei Guo, 2021. "Association between Hypertriglyceridemic-Waist Phenotype and Risk of Type 2 Diabetes Mellitus in Middle-Aged and Older Chinese Population: A Longitudinal Cohort Study," IJERPH, MDPI, vol. 18(18), pages 1-9, September.
    9. Ravinder Naik Dharavath & Vibhu Kumar & Vibhu Kumar, 2017. "Zymosan A, an Old Tool in Experimental Pharmacology with Newer Applications," Current Research in Diabetes & Obesity Journal, Juniper Publishers Inc., vol. 4(3), pages 1-4, October.
    10. Tashi Dendup & Xiaoqi Feng & Stephanie Clingan & Thomas Astell-Burt, 2018. "Environmental Risk Factors for Developing Type 2 Diabetes Mellitus: A Systematic Review," IJERPH, MDPI, vol. 15(1), pages 1-25, January.
    11. Benedetta Pongiglione & George B Ploubidis & Jennifer B Dowd, 2022. "Older Adults in the United States Have Worse Cardiometabolic Health Compared to England," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 77(Supplemen), pages 167-176.
    12. Simin Zhang & Donghan Sun & Xiaoyi Qian & Li Li & Wenwen Wu, 2022. "Combined Effects of Obesity and Dyslipidaemia on the Prevalence of Diabetes Amongst Adults Aged ≥45 Years: Evidence from a Nationally Representative Cross-Sectional Study," IJERPH, MDPI, vol. 19(13), pages 1-11, June.
    13. Giorgio Caratti & Ulrich Stifel & Bozhena Caratti & Ali J. M. Jamil & Kyoung-Jin Chung & Michael Kiehntopf & Markus H. Gräler & Matthias Blüher & Alexander Rauch & Jan P. Tuckermann, 2023. "Glucocorticoid activation of anti-inflammatory macrophages protects against insulin resistance," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    14. Zahra N Sohani & Sonia S Anand & Sebastien Robiou-du-Pont & Katherine M Morrison & Sarah D McDonald & Stephanie A Atkinson & Koon K Teo & David Meyre, 2016. "Risk Alleles in/near ADCY5, ADRA2A, CDKAL1, CDKN2A/B, GRB10, and TCF7L2 Elevate Plasma Glucose Levels at Birth and in Early Childhood: Results from the FAMILY Study," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-8, April.
    15. Rafael Molina-Luque & Aina M Yañez & Miquel Bennasar-Veny & Manuel Romero-Saldaña & Guillermo Molina-Recio & Ángel-Arturo López-González, 2020. "A Comparison of Equation Córdoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations," IJERPH, MDPI, vol. 17(21), pages 1-11, October.
    16. Yi-Ching Lynn Ho & Vivian Shu Yi Lee & Moon-Ho Ringo Ho & Gladis Jing Lin & Julian Thumboo, 2021. "Towards a Parsimonious Pathway Model of Modifiable and Mediating Risk Factors Leading to Diabetes Risk," IJERPH, MDPI, vol. 18(20), pages 1-20, October.
    17. Margherita d’Errico & Milena Pavlova & Federico Spandonaro, 2022. "The economic burden of obesity in Italy: a cost-of-illness study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(2), pages 177-192, March.
    18. Ravinder Naik Dharavath & Vibhu Kumar & Vibhu Kumar, 2017. "Zymosan A, an Old Tool in Experimental Pharmacology with Newer Applications," Current Research in Diabetes & Obesity Journal, Juniper Publishers Inc., vol. 4(3), pages 58-61, October.
    19. Brad Wipfli & Sara Wild & Courtney Donovan & Ginger C. Hanson & Saurabh S. Thosar, 2021. "Sedentary Work and Physiological Markers of Health," IJERPH, MDPI, vol. 18(6), pages 1-12, March.
    20. Jagoda Kruszewska & Hanna Laudy-Wiaderny & Michał Kunicki, 2022. "Review of Novel Potential Insulin Resistance Biomarkers in PCOS Patients—The Debate Is Still Open," IJERPH, MDPI, vol. 19(4), pages 1-25, February.

    More about this item

    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:plo:pone00:0015745. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.