Cross-sectional associations of persistent organic pollutants measured in adipose tissue and metabolic syndrome in clinically diagnosed middle-aged adults
Although often overlooked in clinical settings, accumulation of persistent organic pollutants (POPs) in visceral adipose tissue (VAT) is thought to be a relevant risk factor for metabolic syndrome (MetS). One hundred and seventeen patients undergoing non-oncological surgery were randomly recruited a...
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creator | Reina-Pérez, Iris Artacho-Cordón, Francisco Mustieles, Vicente Castellano-Castillo, Daniel Cardona, Fernando Jiménez-Díaz, Inmaculada López-Medina, Jose A. Alcaide, Juan Ocaña-Wilhelmi, Luis Iribarne-Durán, Luz M. Arrebola, Juan P. Olea, Nicolás Tinahones, Francisco J. Fernández, Mariana F. |
description | Although often overlooked in clinical settings, accumulation of persistent organic pollutants (POPs) in visceral adipose tissue (VAT) is thought to be a relevant risk factor for metabolic syndrome (MetS).
One hundred and seventeen patients undergoing non-oncological surgery were randomly recruited and classified as MetS + if presented 3 out of the 5 MetS components: waist circumference (WC), systolic and diastolic blood pressure (SBP and DBP, respectively), serum glucose, insulin, triglycerides (TG) and high-density lipoprotein (HDL) cholesterol levels, according International Diabetes Federation (IDF) criteria. Seventeen organochlorine pesticides (OCPs) and polychlorinated biphenyls (PCBs) were measured in adipose tissue samples. Linear, logistic and weighted quantile sum (WQS) regression models, adjusted for age and sex, were performed.
One third of the participants were males (36.8%) with a median age of 44 years, showing clinical evidences of MetS (35.0%). Adjusted linear regression models showed that WC correlated positively with all OCP concentrations. Higher fasting serum glucose levels were related to higher HCB and γ-HCH concentrations. The remaining OCPs and PCBs were not associated with this MetS component. HCB was inversely associated with HDL cholesterol levels, while PCB-180 was positively associated. HCB and γ-HCH concentrations were also positively correlated with DBP and SBP levels. PCB-138 was also positively associated with SBP. Adjusted logistic models revealed that exposure to HCB and γ-HCH were associated with increased odds of MetS [ORs (95%CI) 1.53 (1.22–1.92) and 1.39 (1.10–1.76) respectively; p |
doi_str_mv | 10.1016/j.envres.2023.115350 |
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One hundred and seventeen patients undergoing non-oncological surgery were randomly recruited and classified as MetS + if presented 3 out of the 5 MetS components: waist circumference (WC), systolic and diastolic blood pressure (SBP and DBP, respectively), serum glucose, insulin, triglycerides (TG) and high-density lipoprotein (HDL) cholesterol levels, according International Diabetes Federation (IDF) criteria. Seventeen organochlorine pesticides (OCPs) and polychlorinated biphenyls (PCBs) were measured in adipose tissue samples. Linear, logistic and weighted quantile sum (WQS) regression models, adjusted for age and sex, were performed.
One third of the participants were males (36.8%) with a median age of 44 years, showing clinical evidences of MetS (35.0%). Adjusted linear regression models showed that WC correlated positively with all OCP concentrations. Higher fasting serum glucose levels were related to higher HCB and γ-HCH concentrations. The remaining OCPs and PCBs were not associated with this MetS component. HCB was inversely associated with HDL cholesterol levels, while PCB-180 was positively associated. HCB and γ-HCH concentrations were also positively correlated with DBP and SBP levels. PCB-138 was also positively associated with SBP. Adjusted logistic models revealed that exposure to HCB and γ-HCH were associated with increased odds of MetS [ORs (95%CI) 1.53 (1.22–1.92) and 1.39 (1.10–1.76) respectively; p < 0.01]. No associations were observed for the remaining POPs. WQS models showed a positive and significant mixture effect of POPs on the odds of MetS (exp [beta] = 2.34; p < 0.001), with γ-HCH (52.9%), o,p'-DDT (26.9%) and HCB (19.7%) driving the association.
Our findings support that POPs accumulated in VAT, specifically HCB and (gamma)-HCH, are associated with both isolated components and clinically diagnosed SMT.
•HCB and γ-HCH fat levels were associated with metabolic syndrome and its components.•HCB and γ-HCH were positively associated with blood pressure and glucose levels.•HCB, o,p'-DDT, p,p'-DDE and γ-HCH were correlated with increased waist circumference.•Higher fat HCB levels were inversely associated with HDL cholesterol levels.</description><identifier>ISSN: 0013-9351</identifier><identifier>EISSN: 1096-0953</identifier><identifier>DOI: 10.1016/j.envres.2023.115350</identifier><identifier>PMID: 36709023</identifier><language>eng</language><publisher>Netherlands: Elsevier Inc</publisher><subject>Adipose tissue ; Adipose Tissue - chemistry ; Adult ; blood glucose ; Cross-Sectional Studies ; DDT (pesticide) ; diabetes ; diastolic blood pressure ; Endocrine disruptors ; Environmental Exposure ; Environmental Pollutants - metabolism ; Female ; Glucose ; Hexachlorobenzene (HCB) ; Hexachlorocyclohexane ; Hexachlorohexane (HCH) ; high density lipoprotein cholesterol ; Humans ; Hydrocarbons, Chlorinated - analysis ; insulin ; Male ; Metabolic Syndrome ; Metabolic syndrome (MetS) ; Middle Aged ; Persistent Organic Pollutants ; Persistent organic pollutants (POPs) ; Pesticides ; Polychlorinated Biphenyls ; regression analysis ; risk factors ; surgery ; waist circumference</subject><ispartof>Environmental research, 2023-04, Vol.222, p.115350-115350, Article 115350</ispartof><rights>2023 The Authors</rights><rights>Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c441t-a0a48b07f819fd9ace49223601b79380919be3f487c7b079729c35c1118f2de43</citedby><cites>FETCH-LOGICAL-c441t-a0a48b07f819fd9ace49223601b79380919be3f487c7b079729c35c1118f2de43</cites><orcidid>0000-0001-8041-8244 ; 0000-0003-3850-6173 ; 0000-0003-4460-6824 ; 0000-0001-6417-8914 ; 0000-0002-8643-2423</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0013935123001421$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36709023$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Reina-Pérez, Iris</creatorcontrib><creatorcontrib>Artacho-Cordón, Francisco</creatorcontrib><creatorcontrib>Mustieles, Vicente</creatorcontrib><creatorcontrib>Castellano-Castillo, Daniel</creatorcontrib><creatorcontrib>Cardona, Fernando</creatorcontrib><creatorcontrib>Jiménez-Díaz, Inmaculada</creatorcontrib><creatorcontrib>López-Medina, Jose A.</creatorcontrib><creatorcontrib>Alcaide, Juan</creatorcontrib><creatorcontrib>Ocaña-Wilhelmi, Luis</creatorcontrib><creatorcontrib>Iribarne-Durán, Luz M.</creatorcontrib><creatorcontrib>Arrebola, Juan P.</creatorcontrib><creatorcontrib>Olea, Nicolás</creatorcontrib><creatorcontrib>Tinahones, Francisco J.</creatorcontrib><creatorcontrib>Fernández, Mariana F.</creatorcontrib><title>Cross-sectional associations of persistent organic pollutants measured in adipose tissue and metabolic syndrome in clinically diagnosed middle-aged adults</title><title>Environmental research</title><addtitle>Environ Res</addtitle><description>Although often overlooked in clinical settings, accumulation of persistent organic pollutants (POPs) in visceral adipose tissue (VAT) is thought to be a relevant risk factor for metabolic syndrome (MetS).
One hundred and seventeen patients undergoing non-oncological surgery were randomly recruited and classified as MetS + if presented 3 out of the 5 MetS components: waist circumference (WC), systolic and diastolic blood pressure (SBP and DBP, respectively), serum glucose, insulin, triglycerides (TG) and high-density lipoprotein (HDL) cholesterol levels, according International Diabetes Federation (IDF) criteria. Seventeen organochlorine pesticides (OCPs) and polychlorinated biphenyls (PCBs) were measured in adipose tissue samples. Linear, logistic and weighted quantile sum (WQS) regression models, adjusted for age and sex, were performed.
One third of the participants were males (36.8%) with a median age of 44 years, showing clinical evidences of MetS (35.0%). Adjusted linear regression models showed that WC correlated positively with all OCP concentrations. Higher fasting serum glucose levels were related to higher HCB and γ-HCH concentrations. The remaining OCPs and PCBs were not associated with this MetS component. HCB was inversely associated with HDL cholesterol levels, while PCB-180 was positively associated. HCB and γ-HCH concentrations were also positively correlated with DBP and SBP levels. PCB-138 was also positively associated with SBP. Adjusted logistic models revealed that exposure to HCB and γ-HCH were associated with increased odds of MetS [ORs (95%CI) 1.53 (1.22–1.92) and 1.39 (1.10–1.76) respectively; p < 0.01]. No associations were observed for the remaining POPs. WQS models showed a positive and significant mixture effect of POPs on the odds of MetS (exp [beta] = 2.34; p < 0.001), with γ-HCH (52.9%), o,p'-DDT (26.9%) and HCB (19.7%) driving the association.
Our findings support that POPs accumulated in VAT, specifically HCB and (gamma)-HCH, are associated with both isolated components and clinically diagnosed SMT.
•HCB and γ-HCH fat levels were associated with metabolic syndrome and its components.•HCB and γ-HCH were positively associated with blood pressure and glucose levels.•HCB, o,p'-DDT, p,p'-DDE and γ-HCH were correlated with increased waist circumference.•Higher fat HCB levels were inversely associated with HDL cholesterol levels.</description><subject>Adipose tissue</subject><subject>Adipose Tissue - chemistry</subject><subject>Adult</subject><subject>blood glucose</subject><subject>Cross-Sectional Studies</subject><subject>DDT (pesticide)</subject><subject>diabetes</subject><subject>diastolic blood pressure</subject><subject>Endocrine disruptors</subject><subject>Environmental Exposure</subject><subject>Environmental Pollutants - metabolism</subject><subject>Female</subject><subject>Glucose</subject><subject>Hexachlorobenzene (HCB)</subject><subject>Hexachlorocyclohexane</subject><subject>Hexachlorohexane (HCH)</subject><subject>high density lipoprotein cholesterol</subject><subject>Humans</subject><subject>Hydrocarbons, Chlorinated - analysis</subject><subject>insulin</subject><subject>Male</subject><subject>Metabolic Syndrome</subject><subject>Metabolic syndrome (MetS)</subject><subject>Middle Aged</subject><subject>Persistent Organic Pollutants</subject><subject>Persistent organic pollutants (POPs)</subject><subject>Pesticides</subject><subject>Polychlorinated Biphenyls</subject><subject>regression analysis</subject><subject>risk factors</subject><subject>surgery</subject><subject>waist circumference</subject><issn>0013-9351</issn><issn>1096-0953</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkcFu1DAQhq0KRLeFN6iQj1yy2HGyiS9IaAUtUiUucLYce7LyyrGDx6m0r8LT4iiFYznZo_n-GWk-Qu4423PGDx_PewhPCXBfs1rsOW9Fy67IjjN5qJhsxSuyY4yLSoqWX5MbxHMpC8XekGtx6JgssR35fUwRsUIw2cWgPdWI0Ti9VkjjSGdI6DBDyDSmkw7O0Dl6v2QdMtIJNC4JLHWBauvmiECzQ1yA6mBLO-sh-pLBS7ApTrCCxrsyRnt_odbpUyihgjprPVT6VP7aLj7jW_J61B7h3fN7S35-_fLj-FA9fr__dvz8WJmm4bnSTDf9wLqx53K0UhtoZF2LA-NDJ0XPJJcDiLHpO9MVTHa1NKI1nPN-rC004pZ82ObOKf5aALOaHBrwXgeIC6q6F03N276W_0e7jjWdlG1b0GZDzXrgBKOak5t0uijO1CpQndUmUK0C1SawxN4_b1iGCey_0F9jBfi0AVBO8uQgKTQOggHrUpGobHQvb_gDp3axVw</recordid><startdate>20230401</startdate><enddate>20230401</enddate><creator>Reina-Pérez, Iris</creator><creator>Artacho-Cordón, Francisco</creator><creator>Mustieles, Vicente</creator><creator>Castellano-Castillo, Daniel</creator><creator>Cardona, Fernando</creator><creator>Jiménez-Díaz, Inmaculada</creator><creator>López-Medina, Jose A.</creator><creator>Alcaide, Juan</creator><creator>Ocaña-Wilhelmi, Luis</creator><creator>Iribarne-Durán, Luz M.</creator><creator>Arrebola, Juan P.</creator><creator>Olea, Nicolás</creator><creator>Tinahones, Francisco J.</creator><creator>Fernández, Mariana F.</creator><general>Elsevier Inc</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0001-8041-8244</orcidid><orcidid>https://orcid.org/0000-0003-3850-6173</orcidid><orcidid>https://orcid.org/0000-0003-4460-6824</orcidid><orcidid>https://orcid.org/0000-0001-6417-8914</orcidid><orcidid>https://orcid.org/0000-0002-8643-2423</orcidid></search><sort><creationdate>20230401</creationdate><title>Cross-sectional associations of persistent organic pollutants measured in adipose tissue and metabolic syndrome in clinically diagnosed middle-aged adults</title><author>Reina-Pérez, Iris ; Artacho-Cordón, Francisco ; Mustieles, Vicente ; Castellano-Castillo, Daniel ; Cardona, Fernando ; Jiménez-Díaz, Inmaculada ; López-Medina, Jose A. ; Alcaide, Juan ; Ocaña-Wilhelmi, Luis ; Iribarne-Durán, Luz M. ; Arrebola, Juan P. ; Olea, Nicolás ; Tinahones, Francisco J. ; Fernández, Mariana F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c441t-a0a48b07f819fd9ace49223601b79380919be3f487c7b079729c35c1118f2de43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adipose tissue</topic><topic>Adipose Tissue - chemistry</topic><topic>Adult</topic><topic>blood glucose</topic><topic>Cross-Sectional Studies</topic><topic>DDT (pesticide)</topic><topic>diabetes</topic><topic>diastolic blood pressure</topic><topic>Endocrine disruptors</topic><topic>Environmental Exposure</topic><topic>Environmental Pollutants - metabolism</topic><topic>Female</topic><topic>Glucose</topic><topic>Hexachlorobenzene (HCB)</topic><topic>Hexachlorocyclohexane</topic><topic>Hexachlorohexane (HCH)</topic><topic>high density lipoprotein cholesterol</topic><topic>Humans</topic><topic>Hydrocarbons, Chlorinated - analysis</topic><topic>insulin</topic><topic>Male</topic><topic>Metabolic Syndrome</topic><topic>Metabolic syndrome (MetS)</topic><topic>Middle Aged</topic><topic>Persistent Organic Pollutants</topic><topic>Persistent organic pollutants (POPs)</topic><topic>Pesticides</topic><topic>Polychlorinated Biphenyls</topic><topic>regression analysis</topic><topic>risk factors</topic><topic>surgery</topic><topic>waist circumference</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Reina-Pérez, Iris</creatorcontrib><creatorcontrib>Artacho-Cordón, Francisco</creatorcontrib><creatorcontrib>Mustieles, Vicente</creatorcontrib><creatorcontrib>Castellano-Castillo, Daniel</creatorcontrib><creatorcontrib>Cardona, Fernando</creatorcontrib><creatorcontrib>Jiménez-Díaz, Inmaculada</creatorcontrib><creatorcontrib>López-Medina, Jose A.</creatorcontrib><creatorcontrib>Alcaide, Juan</creatorcontrib><creatorcontrib>Ocaña-Wilhelmi, Luis</creatorcontrib><creatorcontrib>Iribarne-Durán, Luz M.</creatorcontrib><creatorcontrib>Arrebola, Juan P.</creatorcontrib><creatorcontrib>Olea, Nicolás</creatorcontrib><creatorcontrib>Tinahones, Francisco J.</creatorcontrib><creatorcontrib>Fernández, Mariana F.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Environmental research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Reina-Pérez, Iris</au><au>Artacho-Cordón, Francisco</au><au>Mustieles, Vicente</au><au>Castellano-Castillo, Daniel</au><au>Cardona, Fernando</au><au>Jiménez-Díaz, Inmaculada</au><au>López-Medina, Jose A.</au><au>Alcaide, Juan</au><au>Ocaña-Wilhelmi, Luis</au><au>Iribarne-Durán, Luz M.</au><au>Arrebola, Juan P.</au><au>Olea, Nicolás</au><au>Tinahones, Francisco J.</au><au>Fernández, Mariana F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cross-sectional associations of persistent organic pollutants measured in adipose tissue and metabolic syndrome in clinically diagnosed middle-aged adults</atitle><jtitle>Environmental research</jtitle><addtitle>Environ Res</addtitle><date>2023-04-01</date><risdate>2023</risdate><volume>222</volume><spage>115350</spage><epage>115350</epage><pages>115350-115350</pages><artnum>115350</artnum><issn>0013-9351</issn><eissn>1096-0953</eissn><abstract>Although often overlooked in clinical settings, accumulation of persistent organic pollutants (POPs) in visceral adipose tissue (VAT) is thought to be a relevant risk factor for metabolic syndrome (MetS).
One hundred and seventeen patients undergoing non-oncological surgery were randomly recruited and classified as MetS + if presented 3 out of the 5 MetS components: waist circumference (WC), systolic and diastolic blood pressure (SBP and DBP, respectively), serum glucose, insulin, triglycerides (TG) and high-density lipoprotein (HDL) cholesterol levels, according International Diabetes Federation (IDF) criteria. Seventeen organochlorine pesticides (OCPs) and polychlorinated biphenyls (PCBs) were measured in adipose tissue samples. Linear, logistic and weighted quantile sum (WQS) regression models, adjusted for age and sex, were performed.
One third of the participants were males (36.8%) with a median age of 44 years, showing clinical evidences of MetS (35.0%). Adjusted linear regression models showed that WC correlated positively with all OCP concentrations. Higher fasting serum glucose levels were related to higher HCB and γ-HCH concentrations. The remaining OCPs and PCBs were not associated with this MetS component. HCB was inversely associated with HDL cholesterol levels, while PCB-180 was positively associated. HCB and γ-HCH concentrations were also positively correlated with DBP and SBP levels. PCB-138 was also positively associated with SBP. Adjusted logistic models revealed that exposure to HCB and γ-HCH were associated with increased odds of MetS [ORs (95%CI) 1.53 (1.22–1.92) and 1.39 (1.10–1.76) respectively; p < 0.01]. No associations were observed for the remaining POPs. WQS models showed a positive and significant mixture effect of POPs on the odds of MetS (exp [beta] = 2.34; p < 0.001), with γ-HCH (52.9%), o,p'-DDT (26.9%) and HCB (19.7%) driving the association.
Our findings support that POPs accumulated in VAT, specifically HCB and (gamma)-HCH, are associated with both isolated components and clinically diagnosed SMT.
•HCB and γ-HCH fat levels were associated with metabolic syndrome and its components.•HCB and γ-HCH were positively associated with blood pressure and glucose levels.•HCB, o,p'-DDT, p,p'-DDE and γ-HCH were correlated with increased waist circumference.•Higher fat HCB levels were inversely associated with HDL cholesterol levels.</abstract><cop>Netherlands</cop><pub>Elsevier Inc</pub><pmid>36709023</pmid><doi>10.1016/j.envres.2023.115350</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-8041-8244</orcidid><orcidid>https://orcid.org/0000-0003-3850-6173</orcidid><orcidid>https://orcid.org/0000-0003-4460-6824</orcidid><orcidid>https://orcid.org/0000-0001-6417-8914</orcidid><orcidid>https://orcid.org/0000-0002-8643-2423</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adipose tissue Adipose Tissue - chemistry Adult blood glucose Cross-Sectional Studies DDT (pesticide) diabetes diastolic blood pressure Endocrine disruptors Environmental Exposure Environmental Pollutants - metabolism Female Glucose Hexachlorobenzene (HCB) Hexachlorocyclohexane Hexachlorohexane (HCH) high density lipoprotein cholesterol Humans Hydrocarbons, Chlorinated - analysis insulin Male Metabolic Syndrome Metabolic syndrome (MetS) Middle Aged Persistent Organic Pollutants Persistent organic pollutants (POPs) Pesticides Polychlorinated Biphenyls regression analysis risk factors surgery waist circumference |
title | Cross-sectional associations of persistent organic pollutants measured in adipose tissue and metabolic syndrome in clinically diagnosed middle-aged adults |
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