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David R Jacobs 2 Articles
Interaction Between Persistent Organic Pollutants and C-reactive Protein in Estimating Insulin Resistance Among Non-diabetic Adults
Ki-Su Kim, Nam-Soo Hong, David R Jacobs, Duk-Hee Lee
J Prev Med Public Health. 2012;45(2):62-69.   Published online March 31, 2012
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  • 12 Crossref
AbstractAbstract PDF

Chronic inflammation is now thought to play a key pathogenetic role in the associations of obesity with insulin resistance and diabetes. Based on our recent findings on persistent organic pollutants (POPs) including the lack of an association between obesity and either insulin resistance or diabetes prevalence among subjects with very low concentrations of POPs, we hypothesized that POP concentrations may be associated with inflammation and modify the associations between inflammation and insulin resistance in non-diabetic subjects.


Cross-sectional associations among serum POPs, C-reactive protein (CRP), and homeostasis model assessment of insulin resistance (HOMA-IR) were investigated in 748 non-diabetic participants aged ≥20 years. Nineteen types of POPs in 5 subclasses were selected because the POPs were detectable in ≥60% of the participants.


Among the five subclasses of POPs, only organochlorine (OC) pesticides showed positive associations with CRP concentrations, while polychlorinated biphenyls (PCBs) showed inverse associations with CRP concentrations. There were statistically significant interactions between CRP and OC pesticides and between CRP and PCBs, in estimating HOMA-IR (P for interaction <0.01 and <0.01, respectively). CRP was not associated with HOMA-IR among subjects with low concentrations of OC pesticides or PCBs, while CRP was strongly associated with HOMA-IR among subjects with high concentrations of these POPs.


In the current study, OC pesticides were associated with increased levels of CRP, a marker of inflammation, and both OC pesticides and PCBs may also modify the associations between CRP and insulin resistance.



Citations to this article as recorded by  
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    Quentin A. Serrano, Sébastien Le Garf, Vincent Martin, Serge S. Colson, Nicolas Chevalier
    International Journal of Molecular Sciences.2024; 25(2): 883.     CrossRef
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    Zhiqin Liu, Yao Lu, Kunxia Zhong, Chenchen Wang, Xi Xu
    Ecotoxicology and Environmental Safety.2022; 234: 113382.     CrossRef
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    Rafael Vanni, Renata Maksoud Bussuan, Renato Luiz Rombaldi, Alberto K. Arbex
    Current Diabetes Reviews.2021;[Epub]     CrossRef
  • Influence of polychlorinated biphenyls and organochlorine pesticides on the inflammatory milieu. A systematic review of in vitro, in vivo and epidemiological studies
    F.M. Peinado, F. Artacho-Cordón, R. Barrios-Rodríguez, J.P. Arrebola
    Environmental Research.2020; 186: 109561.     CrossRef
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    S. Dusanov, J. Ruzzin, H. Kiviranta, T.O. Klemsdal, L. Retterstøl, P. Rantakokko, R. Airaksinen, S. Djurovic, S. Tonstad
    Nutrition, Metabolism and Cardiovascular Diseases.2018; 28(7): 735.     CrossRef
  • Health and environmental effects of persistent organic pollutants
    Omar M.L. Alharbi, Al Arsh Basheer, Rafat A. Khattab, Imran Ali
    Journal of Molecular Liquids.2018; 263: 442.     CrossRef
  • The influence of persistent organic pollutants in the traditional Inuit diet on markers of inflammation
    L. K. Schæbel, E. C. Bonefeld-Jørgensen, H. Vestergaard, S. Andersen, Jaymie Meliker
    PLOS ONE.2017; 12(5): e0177781.     CrossRef
  • Pesticide Use and Age-Related Macular Degeneration in the Agricultural Health Study
    Martha P. Montgomery, Eric Postel, David M. Umbach, Marie Richards, Mary Watson, Aaron Blair, Honglei Chen, Dale P. Sandler, Silke Schmidt, Freya Kamel
    Environmental Health Perspectives.2017;[Epub]     CrossRef
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    Fatima Zohra Madani, Merzouk Hafida, Sid Ahmed Merzouk, Bouchra Loukidi, Katia Taouli, Michel Narce
    Biomarkers.2016; 21(2): 138.     CrossRef
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    Mary Turyk, Giamila Fantuzzi, Victoria Persky, Sally Freels, Anissa Lambertino, Maria Pini, Davina H. Rhodes, Henry A. Anderson
    Environmental Research.2015; 140: 335.     CrossRef
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    L. K. Schæbel, E. C. Bonefeld-Jørgensen, P. Laurberg, H. Vestergaard, S. Andersen
    Journal of Nutritional Science.2015;[Epub]     CrossRef
  • Persistent Organic Pollutants and Inflammatory Markers in a Cross-Sectional Study of Elderly Swedish People: The PIVUS Cohort
    Jitender Kumar, P. Monica Lind, Samira Salihovic, Bert van Bavel, Erik Ingelsson, Lars Lind
    Environmental Health Perspectives.2014; 122(9): 977.     CrossRef
Relationship Between Serum Concentrations of Organochlorine Pesticides and Metabolic Syndrome Among Non-Diabetic Adults.
Sun Kyun Park, Hyo Kyung Son, Sung Kook Lee, Jung Ho Kang, Yoon Seok Chang, David R Jacobs, Duk Hee Lee
J Prev Med Public Health. 2010;43(1):1-8.
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  • 134 Download
  • 42 Crossref
AbstractAbstract PDF
This study was performed to investigate if organochlorine pesticides (OCPs) were associated with metabolic syndrome and insulin resistance among non-diabetes. METHODS: Among subjects who participated in a community-based health survey, 50 non-diabetic subjects with metabolic syndrome and 50 normal controls were selected. Insulin resistance was measured by the homeostasis model assessment (HOMA-IR). Eight OCPs were selected. RESULTS: After adjusting for confounders except for body mass index (BMI), beta-hexachlorocyclohexane (beta-HCH) and heptachlor epoxide were positively associated with metabolic syndrome. Odds ratios across tertiles of beta-HCH and heptachlor epoxide were 1.0, 3.2 and 4.4, and 1.0, 4.0 and 6.0, respectively (p for trend = 0.01 and <0.01). After additional adjustment for body mass index (BMI), heptachlor epoxide still showed an increasing trend with adjusted odds ratios of 1.0, 4.1, and 4.6 (p for trend = 0.10). When the five components of metabolic syndrome (with the definition of high fasting glucose (> or =100 mg/dL)) were separately analyzed, all components were positively, but not significantly, associated with heptachlor epoxide. As the serum concentration of heptachlor epoxide increased, HOMA-IR increased significantly in subjects with metabolic syndrome even after adjusting for BMI (p value <0.05 and <0.01). CONCLUSIONS: Despite the small sample size, this study suggests that the background exposure to some OCPs may be associated with metabolic syndrome.


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JPMPH : Journal of Preventive Medicine and Public Health