IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i24p9403-d462463.html
   My bibliography  Save this article

Adipose Tissue and Endocrine-Disrupting Chemicals: Does Sex Matter?

Author

Listed:
  • Brigitte Le Magueresse-Battistoni

    (Univ-Lyon, CarMeN Laboratory, INSERM U1060, INRAé U1397, Université Claude Bernard Lyon1, F-69310 Pierre-Bénite, France
    CarMeN Laboratory, INSERM U1060, Hopital Lyon-Sud, Bâtiment CENS ELI-2D, 165 Chemin du Grand Revoyet, 69310 Pierre-Bénite, France)

Abstract

Obesity and metabolic-related diseases, among which diabetes, are prominent public health challenges of the 21st century. It is now well acknowledged that pollutants are a part of the equation, especially endocrine-disrupting chemicals (EDCs) that interfere with the hormonal aspect. The aim of the review is to focus on adipose tissue, a central regulator of energy balance and metabolic homeostasis, and to highlight the significant differences in the endocrine and metabolic aspects of adipose tissue between males and females which likely underlie the differences of the response to exposure to EDCs between the sexes. Moreover, the study also presents an overview of several mechanisms of action by which pollutants could cause adipose tissue dysfunction. Indeed, a better understanding of the mechanism by which environmental chemicals target adipose tissue and cause metabolic disturbances, and how these mechanisms interact and sex specificities are essential for developing mitigating and sex-specific strategies against metabolic diseases of chemical origin. In particular, considering that a scenario without pollutant exposure is not a realistic option in our current societies, attenuating the deleterious effects of exposure to pollutants by acting on the gut-adipose tissue axis may constitute a new direction of research.

Suggested Citation

  • Brigitte Le Magueresse-Battistoni, 2020. "Adipose Tissue and Endocrine-Disrupting Chemicals: Does Sex Matter?," IJERPH, MDPI, vol. 17(24), pages 1-30, December.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:24:p:9403-:d:462463
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/24/9403/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/24/9403/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gökhan S. Hotamisligil, 2006. "Inflammation and metabolic disorders," Nature, Nature, vol. 444(7121), pages 860-867, December.
    2. Cawley, John & Meyerhoefer, Chad, 2012. "The medical care costs of obesity: An instrumental variables approach," Journal of Health Economics, Elsevier, vol. 31(1), pages 219-230.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Claudie Pinteur & Benoit Julien & Nathalie Véga & Hubert Vidal & Danielle Naville & Brigitte Le Magueresse-Battistoni, 2021. "Impact of Estrogen Withdrawal and Replacement in Female Mice along the Intestinal Tract. Comparison of E2 Replacement with the Effect of a Mixture of Low Dose Pollutants," IJERPH, MDPI, vol. 18(16), pages 1-14, August.
    2. Waldemar Pluta & Wioleta Dudzińska & Anna Lubkowska, 2022. "Metabolic Obesity in People with Normal Body Weight (MONW)—Review of Diagnostic Criteria," IJERPH, MDPI, vol. 19(2), pages 1-18, January.

    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. Md. Alauddin Majumder, 2013. "Does Obesity Matter for Wages? Evidence from the United States," Economic Papers, The Economic Society of Australia, vol. 32(2), pages 200-217, June.
    2. Bemile, Esther & Anders, Sven M., 2014. "Linking Diet-Health Behaviour and Obesity using Propensity Score Matching," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182832, European Association of Agricultural Economists.
    3. Allais, Olivier & Etilé, Fabrice & Lecocq, Sébastien, 2015. "Mandatory labels, taxes and market forces: An empirical evaluation of fat policies," Journal of Health Economics, Elsevier, vol. 43(C), pages 27-44.
    4. Courtemanche, Charles & Tchernis, Rusty & Zhou, Xilin, 2017. "Parental Work Hours and Childhood Obesity: Evidence Using Instrumental Variables Related to Sibling School Eligibility," IZA Discussion Papers 10739, Institute of Labor Economics (IZA).
    5. Bastian, Nathaniel D. & Swenson, Eric R. & Ma, Linlin & Na, Hyeong Suk & Griffin, Paul M., 2017. "Incentive contract design for food retailers to reduce food deserts in the US," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 87-98.
    6. Bansal, S. & Zilberman, D., 2018. "Role of health care expenditure in countering adverse effects of obesity on health: Evidence from global data," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275941, International Association of Agricultural Economists.
    7. Farman, Muhammad & Ahmad, Aqeel & Zehra, Anum & Nisar, Kottakkaran Sooppy & Hincal, Evren & Akgul, Ali, 2024. "Analysis and controllability of diabetes model for experimental data by using fractional operator," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 218(C), pages 133-148.
    8. Neuhofer, Zachary & McFadden, Brandon R. & Rihn, Alicia & Wei, Xuan & Khachatryan, Hayk & House, Lisa, 2020. "Can the updated nutrition facts label decrease sugar-sweetened beverage consumption?," Economics & Human Biology, Elsevier, vol. 37(C).
    9. Johanna Catherine Maclean, 2016. "Does Leaving School in an Economic Downturn Persistently Affect Body Weight? Evidence from Panel Data," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 55(1), pages 122-148, January.
    10. Julian M. Alston & Joanna P. MacEwan & Abigail M. Okrent, 2016. "Effects of U.S. Public Agricultural R&D on U.S. Obesity and its Social Costs," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 38(3), pages 492-520.
    11. Cavaliere, Alessia & De Marchi, Elisa & Banterle, Alessandro, 2013. "Time Preference and Health: The Problem of Obesity," 2013 International European Forum, February 18-22, 2013, Innsbruck-Igls, Austria 164754, International European Forum on System Dynamics and Innovation in Food Networks.
    12. Caliendo, Marco & Gehrsitz, Markus, 2016. "Obesity and the labor market: A fresh look at the weight penalty," Economics & Human Biology, Elsevier, vol. 23(C), pages 209-225.
    13. Joachim Marti & Michael R. Richards, 2017. "Smoking Response to Health and Medical Spending Changes and the Role of Insurance," Health Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 305-320, March.
    14. O'Connell, Martin & Smith, Kate, 2020. "Corrective Tax Design and Market Power," CEPR Discussion Papers 14582, C.E.P.R. Discussion Papers.
    15. Jan Häußler, 2014. "Effects of Obesity and Physical Activity on Health Care Utilization and Costs," Working Paper Series of the Department of Economics, University of Konstanz 2014-07, Department of Economics, University of Konstanz.
    16. repec:ags:remeag:163038 is not listed on IDEAS
    17. Zasimova, Liudmila, 2022. "The association between fast-food consumption and job-related factors among Russian adults," Economics & Human Biology, Elsevier, vol. 46(C).
    18. Cremer, Helmuth & Goulão, Catarina & Roeder, Kerstin, 2016. "Earmarking and the political support of fat taxes," Journal of Health Economics, Elsevier, vol. 50(C), pages 258-267.
    19. Joachim Winter & Amelie Wuppermann, 2014. "Do They Know What Is At Risk? Health Risk Perception Among The Obese," Health Economics, John Wiley & Sons, Ltd., vol. 23(5), pages 564-585, May.
    20. Cawley, John & Price, Joshua A., 2013. "A case study of a workplace wellness program that offers financial incentives for weight loss," Journal of Health Economics, Elsevier, vol. 32(5), pages 794-803.
    21. Hai-Hua Chuang & Rong-Ho Lin & Wen-Cheng Li & Wei-Chung Yeh & Yen-An Lin & Jau-Yuan Chen, 2020. "High-Sensitivity C-Reactive Protein Elevation Is Independently Associated with Subclinical Renal Impairment in the Middle-Aged and Elderly Population—A Community-Based Study in Northern Taiwan," IJERPH, MDPI, vol. 17(16), pages 1-10, August.

    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:17:y:2020:i:24:p:9403-:d:462463. 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.