Co-exposure to iron, copper, zinc, selenium and titanium is associated with the prevention of gastric precancerous lesions
Gastric cancer is the third leading cause of cancer death, and gastric precancerous lesions (GPLs) are an important stage in the transformation of normal gastric mucosa to gastric cancer. Matched for age and sex, a total of 316 subjects were eventually included from our prospective observation popul...
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| Veröffentlicht in: | Biometals 2023-10, Vol.36 (5), p.1141-1156 |
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| creator | Wang, Tingting Xu, Fang Lin, Xiao Lv, Yaning Zhang, Xiaohui Cheng, Wenli Wang, Li Wang, Min Zhang, Meng Xia, Tao Qian, Shiqing Tang, Min Yang, Wanshui Zhang, Ying Zhang, Daoming Hu, Anla Zhao, Qihong |
| description | Gastric cancer is the third leading cause of cancer death, and gastric precancerous lesions (GPLs) are an important stage in the transformation of normal gastric mucosa to gastric cancer. Matched for age and sex, a total of 316 subjects were eventually included from our prospective observation population (including 1007 patients with GPLs and 762 normal controls), and a questionnaire survey was conducted. In total, 10 plasma elements (iron, copper, zinc, selenium, rubidium, strontium, titanium, aluminum, vanadium and arsenic) were measured by applying inductively coupled plasma‒mass spectrometry (ICP‒MS). A multivariate conditional logistic regression model and Bayesian kernel logistic regression model (BKMR) were used to analyze the association between plasma element concentrations and GPLs. In the multimetal model, plasma titanium concentrations were significantly and positively associated with the prevalence of GPLs, with a fourth-quartile OR of 11.56 ([95% CI]: [2.78–48.13]). Plasma selenium and copper were negatively correlated with GPLs, with the highest quartiles of selenium and copper having an OR of 0.03 ([95% CI]: [0.01–0.15];
P
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| doi_str_mv | 10.1007/s10534-023-00509-6 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2829431675</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2871488392</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-576e325ffab46d4060f35857000425259b998dfe6e1aeaa2b72f5116babd46c53</originalsourceid><addsrcrecordid>eNp9kT1vFDEQhi1ERI7AH6BAlmgozsHf3i3RiS8pUhqoLa93NnG0Zy-2l0B-Pb5cAIkilWXPM--M9SD0itFzRql5VxhVQhLKBaFU0Z7oJ2jDlOGkM0Y8RRvaa01oJ-Upel7KDaW0N1Q_Q6fCCMWM6jbobpcI_FxSWTPgmnDIKW6xT8sCeYvvQvRbXGCGGNY9dnHENVR3fwkFu1KSD67CiG9Dvcb1GvCS4QfEGlLEacJXrtQc_OHVu-ghp7XgGUorlxfoZHJzgZcP5xn69vHD191ncnH56cvu_QXxwqhKlNEguJomN0g9SqrpJFSnTPuN5Iqrfuj7bpxAA3PgHB8MnxRjenDDKLVX4gy9PeYuOX1foVS7D8XDPLsIbR3LO95LwbQ5oG_-Q2_SmmPbrlGGya4TPW8UP1I-p1IyTHbJYe_yL8uoPZixRzO2mbH3ZqxuTa8fotdhD-Pflj8qGiCOQGmleAX53-xHYn8DiGSZ_Q</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2871488392</pqid></control><display><type>article</type><title>Co-exposure to iron, copper, zinc, selenium and titanium is associated with the prevention of gastric precancerous lesions</title><source>SpringerLink Journals - AutoHoldings</source><creator>Wang, Tingting ; Xu, Fang ; Lin, Xiao ; Lv, Yaning ; Zhang, Xiaohui ; Cheng, Wenli ; Wang, Li ; Wang, Min ; Zhang, Meng ; Xia, Tao ; Qian, Shiqing ; Tang, Min ; Yang, Wanshui ; Zhang, Ying ; Zhang, Daoming ; Hu, Anla ; Zhao, Qihong</creator><creatorcontrib>Wang, Tingting ; Xu, Fang ; Lin, Xiao ; Lv, Yaning ; Zhang, Xiaohui ; Cheng, Wenli ; Wang, Li ; Wang, Min ; Zhang, Meng ; Xia, Tao ; Qian, Shiqing ; Tang, Min ; Yang, Wanshui ; Zhang, Ying ; Zhang, Daoming ; Hu, Anla ; Zhao, Qihong</creatorcontrib><description>Gastric cancer is the third leading cause of cancer death, and gastric precancerous lesions (GPLs) are an important stage in the transformation of normal gastric mucosa to gastric cancer. Matched for age and sex, a total of 316 subjects were eventually included from our prospective observation population (including 1007 patients with GPLs and 762 normal controls), and a questionnaire survey was conducted. In total, 10 plasma elements (iron, copper, zinc, selenium, rubidium, strontium, titanium, aluminum, vanadium and arsenic) were measured by applying inductively coupled plasma‒mass spectrometry (ICP‒MS). A multivariate conditional logistic regression model and Bayesian kernel logistic regression model (BKMR) were used to analyze the association between plasma element concentrations and GPLs. In the multimetal model, plasma titanium concentrations were significantly and positively associated with the prevalence of GPLs, with a fourth-quartile OR of 11.56 ([95% CI]: [2.78–48.13]). Plasma selenium and copper were negatively correlated with GPLs, with the highest quartiles of selenium and copper having an OR of 0.03 ([95% CI]: [0.01–0.15];
P
< 0.001) and 0.24 ([95% CI]: [0.07–0.82]), respectively. In the BKMR model, there was a significant negative combined correlation of five metals on GPLs: iron, copper, zinc, selenium, and titanium. The results of this study showed that plasma concentrations of selenium and copper were negatively correlated with GPLs, while plasma concentrations of titanium were positively correlated with GPLs, and the combined action of the five elements was negatively correlated with GPLs.</description><identifier>ISSN: 0966-0844</identifier><identifier>EISSN: 1572-8773</identifier><identifier>DOI: 10.1007/s10534-023-00509-6</identifier><identifier>PMID: 37351758</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Aluminum ; Arsenic ; Bayesian analysis ; Biochemistry ; Biomedical and Life Sciences ; Cancer ; Cell Biology ; Copper ; Correlation ; Gastric cancer ; Gastric mucosa ; Heavy metals ; Inductively coupled plasma ; Iron ; Lesions ; Life Sciences ; Mass spectrometry ; Mass spectroscopy ; Medicine/Public Health ; Microbiology ; Pharmacology/Toxicology ; Plant Physiology ; Plasma ; Quartiles ; Regression analysis ; Regression models ; Rubidium ; Selenium ; Strontium ; Titanium ; Vanadium ; Zinc</subject><ispartof>Biometals, 2023-10, Vol.36 (5), p.1141-1156</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Springer Nature B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-576e325ffab46d4060f35857000425259b998dfe6e1aeaa2b72f5116babd46c53</citedby><cites>FETCH-LOGICAL-c375t-576e325ffab46d4060f35857000425259b998dfe6e1aeaa2b72f5116babd46c53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10534-023-00509-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10534-023-00509-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37351758$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Tingting</creatorcontrib><creatorcontrib>Xu, Fang</creatorcontrib><creatorcontrib>Lin, Xiao</creatorcontrib><creatorcontrib>Lv, Yaning</creatorcontrib><creatorcontrib>Zhang, Xiaohui</creatorcontrib><creatorcontrib>Cheng, Wenli</creatorcontrib><creatorcontrib>Wang, Li</creatorcontrib><creatorcontrib>Wang, Min</creatorcontrib><creatorcontrib>Zhang, Meng</creatorcontrib><creatorcontrib>Xia, Tao</creatorcontrib><creatorcontrib>Qian, Shiqing</creatorcontrib><creatorcontrib>Tang, Min</creatorcontrib><creatorcontrib>Yang, Wanshui</creatorcontrib><creatorcontrib>Zhang, Ying</creatorcontrib><creatorcontrib>Zhang, Daoming</creatorcontrib><creatorcontrib>Hu, Anla</creatorcontrib><creatorcontrib>Zhao, Qihong</creatorcontrib><title>Co-exposure to iron, copper, zinc, selenium and titanium is associated with the prevention of gastric precancerous lesions</title><title>Biometals</title><addtitle>Biometals</addtitle><addtitle>Biometals</addtitle><description>Gastric cancer is the third leading cause of cancer death, and gastric precancerous lesions (GPLs) are an important stage in the transformation of normal gastric mucosa to gastric cancer. Matched for age and sex, a total of 316 subjects were eventually included from our prospective observation population (including 1007 patients with GPLs and 762 normal controls), and a questionnaire survey was conducted. In total, 10 plasma elements (iron, copper, zinc, selenium, rubidium, strontium, titanium, aluminum, vanadium and arsenic) were measured by applying inductively coupled plasma‒mass spectrometry (ICP‒MS). A multivariate conditional logistic regression model and Bayesian kernel logistic regression model (BKMR) were used to analyze the association between plasma element concentrations and GPLs. In the multimetal model, plasma titanium concentrations were significantly and positively associated with the prevalence of GPLs, with a fourth-quartile OR of 11.56 ([95% CI]: [2.78–48.13]). Plasma selenium and copper were negatively correlated with GPLs, with the highest quartiles of selenium and copper having an OR of 0.03 ([95% CI]: [0.01–0.15];
P
< 0.001) and 0.24 ([95% CI]: [0.07–0.82]), respectively. In the BKMR model, there was a significant negative combined correlation of five metals on GPLs: iron, copper, zinc, selenium, and titanium. The results of this study showed that plasma concentrations of selenium and copper were negatively correlated with GPLs, while plasma concentrations of titanium were positively correlated with GPLs, and the combined action of the five elements was negatively correlated with GPLs.</description><subject>Aluminum</subject><subject>Arsenic</subject><subject>Bayesian analysis</subject><subject>Biochemistry</subject><subject>Biomedical and Life Sciences</subject><subject>Cancer</subject><subject>Cell Biology</subject><subject>Copper</subject><subject>Correlation</subject><subject>Gastric cancer</subject><subject>Gastric mucosa</subject><subject>Heavy metals</subject><subject>Inductively coupled plasma</subject><subject>Iron</subject><subject>Lesions</subject><subject>Life Sciences</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Medicine/Public Health</subject><subject>Microbiology</subject><subject>Pharmacology/Toxicology</subject><subject>Plant Physiology</subject><subject>Plasma</subject><subject>Quartiles</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Rubidium</subject><subject>Selenium</subject><subject>Strontium</subject><subject>Titanium</subject><subject>Vanadium</subject><subject>Zinc</subject><issn>0966-0844</issn><issn>1572-8773</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kT1vFDEQhi1ERI7AH6BAlmgozsHf3i3RiS8pUhqoLa93NnG0Zy-2l0B-Pb5cAIkilWXPM--M9SD0itFzRql5VxhVQhLKBaFU0Z7oJ2jDlOGkM0Y8RRvaa01oJ-Upel7KDaW0N1Q_Q6fCCMWM6jbobpcI_FxSWTPgmnDIKW6xT8sCeYvvQvRbXGCGGNY9dnHENVR3fwkFu1KSD67CiG9Dvcb1GvCS4QfEGlLEacJXrtQc_OHVu-ghp7XgGUorlxfoZHJzgZcP5xn69vHD191ncnH56cvu_QXxwqhKlNEguJomN0g9SqrpJFSnTPuN5Iqrfuj7bpxAA3PgHB8MnxRjenDDKLVX4gy9PeYuOX1foVS7D8XDPLsIbR3LO95LwbQ5oG_-Q2_SmmPbrlGGya4TPW8UP1I-p1IyTHbJYe_yL8uoPZixRzO2mbH3ZqxuTa8fotdhD-Pflj8qGiCOQGmleAX53-xHYn8DiGSZ_Q</recordid><startdate>20231001</startdate><enddate>20231001</enddate><creator>Wang, 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Tingting</au><au>Xu, Fang</au><au>Lin, Xiao</au><au>Lv, Yaning</au><au>Zhang, Xiaohui</au><au>Cheng, Wenli</au><au>Wang, Li</au><au>Wang, Min</au><au>Zhang, Meng</au><au>Xia, Tao</au><au>Qian, Shiqing</au><au>Tang, Min</au><au>Yang, Wanshui</au><au>Zhang, Ying</au><au>Zhang, Daoming</au><au>Hu, Anla</au><au>Zhao, Qihong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Co-exposure to iron, copper, zinc, selenium and titanium is associated with the prevention of gastric precancerous lesions</atitle><jtitle>Biometals</jtitle><stitle>Biometals</stitle><addtitle>Biometals</addtitle><date>2023-10-01</date><risdate>2023</risdate><volume>36</volume><issue>5</issue><spage>1141</spage><epage>1156</epage><pages>1141-1156</pages><issn>0966-0844</issn><eissn>1572-8773</eissn><abstract>Gastric cancer is the third leading cause of cancer death, and gastric precancerous lesions (GPLs) are an important stage in the transformation of normal gastric mucosa to gastric cancer. Matched for age and sex, a total of 316 subjects were eventually included from our prospective observation population (including 1007 patients with GPLs and 762 normal controls), and a questionnaire survey was conducted. In total, 10 plasma elements (iron, copper, zinc, selenium, rubidium, strontium, titanium, aluminum, vanadium and arsenic) were measured by applying inductively coupled plasma‒mass spectrometry (ICP‒MS). A multivariate conditional logistic regression model and Bayesian kernel logistic regression model (BKMR) were used to analyze the association between plasma element concentrations and GPLs. In the multimetal model, plasma titanium concentrations were significantly and positively associated with the prevalence of GPLs, with a fourth-quartile OR of 11.56 ([95% CI]: [2.78–48.13]). Plasma selenium and copper were negatively correlated with GPLs, with the highest quartiles of selenium and copper having an OR of 0.03 ([95% CI]: [0.01–0.15];
P
< 0.001) and 0.24 ([95% CI]: [0.07–0.82]), respectively. In the BKMR model, there was a significant negative combined correlation of five metals on GPLs: iron, copper, zinc, selenium, and titanium. The results of this study showed that plasma concentrations of selenium and copper were negatively correlated with GPLs, while plasma concentrations of titanium were positively correlated with GPLs, and the combined action of the five elements was negatively correlated with GPLs.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>37351758</pmid><doi>10.1007/s10534-023-00509-6</doi><tpages>16</tpages></addata></record> |
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| subjects | Aluminum Arsenic Bayesian analysis Biochemistry Biomedical and Life Sciences Cancer Cell Biology Copper Correlation Gastric cancer Gastric mucosa Heavy metals Inductively coupled plasma Iron Lesions Life Sciences Mass spectrometry Mass spectroscopy Medicine/Public Health Microbiology Pharmacology/Toxicology Plant Physiology Plasma Quartiles Regression analysis Regression models Rubidium Selenium Strontium Titanium Vanadium Zinc |
| title | Co-exposure to iron, copper, zinc, selenium and titanium is associated with the prevention of gastric precancerous lesions |
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