Associations of environmental cadmium exposure with kidney damage: Exploring mediating DNA methylation sites in Chinese adults

Environmental exposure is widely recognized as the primary sources of Cadmium (Cd) in the human body, and exposure to Cd is associated with kidney damage in adults. Nevertheless, the role of DNA methylation in Cd-induced kidney damage remains unclear. This study aimed to investigate the epigenome-wi...

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Veröffentlicht in:Environmental research 2024-06, Vol.251 (Pt 1), p.118667, Article 118667
Hauptverfasser: Wei, Yuan, Wang, Xiaochen, Sun, Qi, Shi, Wanying, Zhang, Wenli, Gao, Xu, Li, Yawei, Hao, Ruiting, Dong, Xiaojie, Chen, Chen, Cao, Kangning, Jiang, Weilong, Yang, Zhengxiong, Zhu, Ying, Lv, Yuebin, Xv, Dongqun, Li, Juan, Shi, Xiaoming
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container_issue Pt 1
container_start_page 118667
container_title Environmental research
container_volume 251
creator Wei, Yuan
Wang, Xiaochen
Sun, Qi
Shi, Wanying
Zhang, Wenli
Gao, Xu
Li, Yawei
Hao, Ruiting
Dong, Xiaojie
Chen, Chen
Cao, Kangning
Jiang, Weilong
Yang, Zhengxiong
Zhu, Ying
Lv, Yuebin
Xv, Dongqun
Li, Juan
Shi, Xiaoming
description Environmental exposure is widely recognized as the primary sources of Cadmium (Cd) in the human body, and exposure to Cd is associated with kidney damage in adults. Nevertheless, the role of DNA methylation in Cd-induced kidney damage remains unclear. This study aimed to investigate the epigenome-wide association of environmental Cd-related DNA methylation changes with kidney damage. We included 300 non-smoking adults from the China in 2019. DNA methylation profiles were measured with Illumina Infinium MethylationEPIC BeadChip array. Linear mixed-effect model was employed to estimate the effects of urinary Cd with DNA methylation. Differentially methylated positions (DMPs) associated with urinary Cd were then tested for the association with kidney damage indicators. The mediation analysis was further applied to explore the potential DNA methylation based mediators. The prediction model was developed using a logistic regression model, and used 1000 bootstrap resampling for the internal validation. We identified 27 Cd-related DMPs mapped to 20 genes after the adjustment of false-discovery-rate for multiple testing among non-smoking adults. 17 DMPs were found to be associated with both urinary Cd and kidney damage, and 14 of these DMPs were newly identified within the Chinese. Mediation analysis revealed that DNA methylation of cg26907612 and cg16848624 mediated the Cd-related reduced kidney damage. In addition, ten variables were selected using the LASSO regression analysis and were utilized to develop the prediction model. It found that the nomogram model predicted the risk of kidney damage caused by environmental Cd with a corrected C-index of 0.779. Our findings revealed novel DMPs associated with both environmental Cd exposure and kidney damage among non-smoking adults, and developed an easy-to-use nomogram-illustrated model using these novel DMPs. These findings could provide a theoretical basis for formulating prevention and control strategies for kidney damage from the perspective of environmental pollution and epigenetic regulation. [Display omitted] •First study focus on environmental Cd-related DNA methylation with kidney damage.•Identify intervention targets for preventing kidney damage caused by environmental Cd.•Urinary Cd affected kidney damage by mediating the levels of DNA methylation.•Develop prediction models using DMPs to predict the kidney damage risk caused by Cd.
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Nevertheless, the role of DNA methylation in Cd-induced kidney damage remains unclear. This study aimed to investigate the epigenome-wide association of environmental Cd-related DNA methylation changes with kidney damage. We included 300 non-smoking adults from the China in 2019. DNA methylation profiles were measured with Illumina Infinium MethylationEPIC BeadChip array. Linear mixed-effect model was employed to estimate the effects of urinary Cd with DNA methylation. Differentially methylated positions (DMPs) associated with urinary Cd were then tested for the association with kidney damage indicators. The mediation analysis was further applied to explore the potential DNA methylation based mediators. The prediction model was developed using a logistic regression model, and used 1000 bootstrap resampling for the internal validation. We identified 27 Cd-related DMPs mapped to 20 genes after the adjustment of false-discovery-rate for multiple testing among non-smoking adults. 17 DMPs were found to be associated with both urinary Cd and kidney damage, and 14 of these DMPs were newly identified within the Chinese. Mediation analysis revealed that DNA methylation of cg26907612 and cg16848624 mediated the Cd-related reduced kidney damage. In addition, ten variables were selected using the LASSO regression analysis and were utilized to develop the prediction model. It found that the nomogram model predicted the risk of kidney damage caused by environmental Cd with a corrected C-index of 0.779. Our findings revealed novel DMPs associated with both environmental Cd exposure and kidney damage among non-smoking adults, and developed an easy-to-use nomogram-illustrated model using these novel DMPs. These findings could provide a theoretical basis for formulating prevention and control strategies for kidney damage from the perspective of environmental pollution and epigenetic regulation. 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All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c344t-d9dece9aba06a51e1f145b4db06c72add582b4048be3a2a0b2cbef6f2e7257f13</cites><orcidid>0000-0001-8941-0417 ; 0000-0002-7071-571X ; 0009-0003-7717-7090 ; 0000-0002-8412-2966</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0013935124005711$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38462081$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wei, Yuan</creatorcontrib><creatorcontrib>Wang, Xiaochen</creatorcontrib><creatorcontrib>Sun, Qi</creatorcontrib><creatorcontrib>Shi, Wanying</creatorcontrib><creatorcontrib>Zhang, Wenli</creatorcontrib><creatorcontrib>Gao, Xu</creatorcontrib><creatorcontrib>Li, Yawei</creatorcontrib><creatorcontrib>Hao, Ruiting</creatorcontrib><creatorcontrib>Dong, Xiaojie</creatorcontrib><creatorcontrib>Chen, Chen</creatorcontrib><creatorcontrib>Cao, Kangning</creatorcontrib><creatorcontrib>Jiang, Weilong</creatorcontrib><creatorcontrib>Yang, Zhengxiong</creatorcontrib><creatorcontrib>Zhu, Ying</creatorcontrib><creatorcontrib>Lv, Yuebin</creatorcontrib><creatorcontrib>Xv, Dongqun</creatorcontrib><creatorcontrib>Li, Juan</creatorcontrib><creatorcontrib>Shi, Xiaoming</creatorcontrib><title>Associations of environmental cadmium exposure with kidney damage: Exploring mediating DNA methylation sites in Chinese adults</title><title>Environmental research</title><addtitle>Environ Res</addtitle><description>Environmental exposure is widely recognized as the primary sources of Cadmium (Cd) in the human body, and exposure to Cd is associated with kidney damage in adults. Nevertheless, the role of DNA methylation in Cd-induced kidney damage remains unclear. This study aimed to investigate the epigenome-wide association of environmental Cd-related DNA methylation changes with kidney damage. We included 300 non-smoking adults from the China in 2019. DNA methylation profiles were measured with Illumina Infinium MethylationEPIC BeadChip array. Linear mixed-effect model was employed to estimate the effects of urinary Cd with DNA methylation. Differentially methylated positions (DMPs) associated with urinary Cd were then tested for the association with kidney damage indicators. The mediation analysis was further applied to explore the potential DNA methylation based mediators. The prediction model was developed using a logistic regression model, and used 1000 bootstrap resampling for the internal validation. We identified 27 Cd-related DMPs mapped to 20 genes after the adjustment of false-discovery-rate for multiple testing among non-smoking adults. 17 DMPs were found to be associated with both urinary Cd and kidney damage, and 14 of these DMPs were newly identified within the Chinese. Mediation analysis revealed that DNA methylation of cg26907612 and cg16848624 mediated the Cd-related reduced kidney damage. In addition, ten variables were selected using the LASSO regression analysis and were utilized to develop the prediction model. It found that the nomogram model predicted the risk of kidney damage caused by environmental Cd with a corrected C-index of 0.779. Our findings revealed novel DMPs associated with both environmental Cd exposure and kidney damage among non-smoking adults, and developed an easy-to-use nomogram-illustrated model using these novel DMPs. These findings could provide a theoretical basis for formulating prevention and control strategies for kidney damage from the perspective of environmental pollution and epigenetic regulation. 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Nevertheless, the role of DNA methylation in Cd-induced kidney damage remains unclear. This study aimed to investigate the epigenome-wide association of environmental Cd-related DNA methylation changes with kidney damage. We included 300 non-smoking adults from the China in 2019. DNA methylation profiles were measured with Illumina Infinium MethylationEPIC BeadChip array. Linear mixed-effect model was employed to estimate the effects of urinary Cd with DNA methylation. Differentially methylated positions (DMPs) associated with urinary Cd were then tested for the association with kidney damage indicators. The mediation analysis was further applied to explore the potential DNA methylation based mediators. The prediction model was developed using a logistic regression model, and used 1000 bootstrap resampling for the internal validation. We identified 27 Cd-related DMPs mapped to 20 genes after the adjustment of false-discovery-rate for multiple testing among non-smoking adults. 17 DMPs were found to be associated with both urinary Cd and kidney damage, and 14 of these DMPs were newly identified within the Chinese. Mediation analysis revealed that DNA methylation of cg26907612 and cg16848624 mediated the Cd-related reduced kidney damage. In addition, ten variables were selected using the LASSO regression analysis and were utilized to develop the prediction model. It found that the nomogram model predicted the risk of kidney damage caused by environmental Cd with a corrected C-index of 0.779. Our findings revealed novel DMPs associated with both environmental Cd exposure and kidney damage among non-smoking adults, and developed an easy-to-use nomogram-illustrated model using these novel DMPs. These findings could provide a theoretical basis for formulating prevention and control strategies for kidney damage from the perspective of environmental pollution and epigenetic regulation. [Display omitted] •First study focus on environmental Cd-related DNA methylation with kidney damage.•Identify intervention targets for preventing kidney damage caused by environmental Cd.•Urinary Cd affected kidney damage by mediating the levels of DNA methylation.•Develop prediction models using DMPs to predict the kidney damage risk caused by Cd.</abstract><cop>Netherlands</cop><pub>Elsevier Inc</pub><pmid>38462081</pmid><doi>10.1016/j.envres.2024.118667</doi><orcidid>https://orcid.org/0000-0001-8941-0417</orcidid><orcidid>https://orcid.org/0000-0002-7071-571X</orcidid><orcidid>https://orcid.org/0009-0003-7717-7090</orcidid><orcidid>https://orcid.org/0000-0002-8412-2966</orcidid></addata></record>
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subjects Adult
Cadmium
Cadmium - adverse effects
Cadmium - toxicity
Cadmium - urine
China
DNA methylation
DNA Methylation - drug effects
East Asian People
environmental exposure
Environmental Exposure - adverse effects
Environmental Pollutants - toxicity
Environmental Pollutants - urine
epigenetics
Female
Humans
Kidney damage
Kidney Diseases - chemically induced
Kidney Diseases - genetics
Kidney Diseases - urine
kidneys
Male
Mediation analysis
Middle Aged
nomogram
Non-smoking adults
pollution
Prediction model
regression analysis
risk
title Associations of environmental cadmium exposure with kidney damage: Exploring mediating DNA methylation sites in Chinese adults
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