Association of levels of polybrominated diphenyl ethers in two fat compartments with increased risk of insulin resistance in obese individuals
Bibliographic record
Abstract
Murad Helaleh1, Ilhame Diboun2, Nada Altamimi1, Aishah Latiff1, Mohamed Elrayess1* 1Toxicology and Multipurpose Lab, Anti Doping Laboratory Qatar, Sports City, Doha, Qatar. 2 Department of Economics, Mathematics and Statistics, Birkbeck, University of London, London WC1E 7HX, UK. Corresponding author: melrayess@adlqatar.qaAbstractPolybrominated diphenyl ethers (PBDEs) represent a class of widely utilized flame retardants [1]. With over 200 congeners that vary by the extent of halogenations, various PBDEs can leak freely into the environment [2, 3]. Despite cessation of their manufacturing, concerns of their bioaccumulation remain [4-6] due to their stability in products manufactured before the ban and recycled materials [1]. With their high lipophilicity, PBDEs tend to accumulate in adipose tissue, potentially altering the function of this endocrine organ by increasing lipolysis and decreasing glucose oxidation, causing increased risk of metabolic disease including obesity, insulin resistance and type 2 diabetes [7]. Exposure to PBDE-47, for example, during the early post-natal period was shown to induce disturbance in glucose metabolism causing insulin resistance in susceptible mice [8]. In this study, levels of various PBDEs were assessed in subcutaneous and omental adipose tissues from 33 obese and morbidly obese patients (11 insulin sensitive and 22 insulin resistant) and their correlation with mediators of metabolic disease were established. Our results suggested that out of 22 detectable PBDEs in subcutaneous and omental adipose tissues, PBDE99, 28, 47 and 126 were significantly higher in insulin resistant individuals compared to their insulin sensitive counterparts. When considering PBDEs congeners, penta congeners as a group were also higher in insulin resistant individuals compared to insulin sensitive counterparts, while no significant differences were detected in mono, tri, tertra, hexa, hepta and octa congeners between the two studied groups. This data suggest that accumulation of various PBDEs in human adipose tissues obtained from obese individuals is associated with increased risk of insulin resistance. Further investigation of the functional relevance of these associations is currently underway. This study is partly funded by QNRF's grant number NPRP6-235-1-048. References 1. Birnbaum, L.S. and D.F. Staskal, Brominated flame retardants: cause for concern? Environ Health Perspect, 2004. 112(1): p. 9-17. 2. Chen, D. and R.C. Hale, A global review of polybrominated diphenyl ether flame retardant contamination in birds. Environ Int, 2010. 36(7): p. 800-11. 3. Ernest, S.R., et al., Effects of chronic exposure to an environmentally relevant mixture of brominated flame retardants on the reproductive and thyroid system in adult male rats. Toxicol Sci, 2012. 127(2): p. 496-507. 4. Kelly, B.C., et al., Bioaccumulation behaviour of polybrominated diphenyl ethers (PBDEs) in a Canadian Arctic marine food web. Sci Total Environ, 2008. 401(1-3): p. 60-72. 5. Mercado-Feliciano, M. and R.M. Bigsby, Hydroxylated metabolites of the polybrominated diphenyl ether mixture DE-71 are weak estrogen receptor-alpha ligands. Environ Health Perspect, 2008. 116(10): p. 1315-21. 6. Sjodin, A., D.G. Patterson, Jr., and A. Bergman, A review on human exposure to brominated flame retardants–particularly polybrominated diphenyl ethers. Environ Int, 2003. 29(6): p. 829-39. 7. Hoppe, A.A. and G.B. Carey, Polybrominated diphenyl ethers as endocrine disruptors of adipocyte metabolism. Obesity (Silver Spring), 2007. 15(12): p. 2942-50. 8. McIntyre, R.L., et al., Polybrominated diphenyl ether congener, BDE-47, impairs insulin sensitivity in mice with liver-specific Pten deficiency. BMC Obes, 2015. 2: p. 3.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".