Joëlle C Schutten, Adrian Post, Margriet van der Meer, Jan IJmker, Frans Goorman, Richard M Danel, Marc G Vervloet, Martin H de Borst, Daan J Touw, Stephan J L Bakker
{"title":"两种评估红细胞内镁及其决定因素的方法的比较:来自生命线队列研究的结果。","authors":"Joëlle C Schutten, Adrian Post, Margriet van der Meer, Jan IJmker, Frans Goorman, Richard M Danel, Marc G Vervloet, Martin H de Borst, Daan J Touw, Stephan J L Bakker","doi":"10.1016/j.cca.2020.09.007","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Direct methods for the assessment of intra-erythrocyte magnesium (dIEM) require extensive sample preparation, making them labor intensive. An alternative, less labor intensive method is indirect calculation of intra-erythrocyte magnesium (iIEM). We compared dIEM and iIEM and studied determinants of dIEM and iIEM, plasma magnesium and 24-h urinary magnesium excretion in a large population-based cohort study.</p><p><strong>Methods: </strong>dIEM and iIEM were measured using a validated inductively coupled plasma mass spectrometry (ICP-MS) method in 1669 individuals from the second screening from the LifeLines Cohort Study. We used linear regression analyses to study the determinants of IEM, plasma magnesium and 24-h urinary magnesium excretion.</p><p><strong>Results: </strong>Mean dIEM and iIEM were 0.20 ± 0.04 mmol/10<sup>12</sup> cells and 0.25 ± 0.04 mmol/10<sup>12</sup> cells, respectively. We found a strong correlation between dIEM and iIEM (r = 0.75). Passing-Bablok regression analyses showed an intercept of 0.015 (95% CI: 0.005; 0.023) and a slope of 1.157 (95% CI: 1.109; 1.210). In linear regression analyses, plasma levels of total- and LDL -cholesterol, and triglycerides were positively associated dIEM, iIEM, and plasma magnesium, while glucose and HbA1c were inversely associated with plasma magnesium.</p><p><strong>Conclusions: </strong>We observed a strong correlation between dIEM and iIEM, suggesting that iIEM is a reliable alternative for the labor intensive dIEM method.</p>","PeriodicalId":504940,"journal":{"name":"Clinica chimica acta; international journal of clinical chemistry","volume":" ","pages":"772-780"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.cca.2020.09.007","citationCount":"7","resultStr":"{\"title\":\"Comparison of two methods for the assessment of intra-erythrocyte magnesium and its determinants: Results from the LifeLines cohort study.\",\"authors\":\"Joëlle C Schutten, Adrian Post, Margriet van der Meer, Jan IJmker, Frans Goorman, Richard M Danel, Marc G Vervloet, Martin H de Borst, Daan J Touw, Stephan J L Bakker\",\"doi\":\"10.1016/j.cca.2020.09.007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Direct methods for the assessment of intra-erythrocyte magnesium (dIEM) require extensive sample preparation, making them labor intensive. An alternative, less labor intensive method is indirect calculation of intra-erythrocyte magnesium (iIEM). We compared dIEM and iIEM and studied determinants of dIEM and iIEM, plasma magnesium and 24-h urinary magnesium excretion in a large population-based cohort study.</p><p><strong>Methods: </strong>dIEM and iIEM were measured using a validated inductively coupled plasma mass spectrometry (ICP-MS) method in 1669 individuals from the second screening from the LifeLines Cohort Study. We used linear regression analyses to study the determinants of IEM, plasma magnesium and 24-h urinary magnesium excretion.</p><p><strong>Results: </strong>Mean dIEM and iIEM were 0.20 ± 0.04 mmol/10<sup>12</sup> cells and 0.25 ± 0.04 mmol/10<sup>12</sup> cells, respectively. We found a strong correlation between dIEM and iIEM (r = 0.75). Passing-Bablok regression analyses showed an intercept of 0.015 (95% CI: 0.005; 0.023) and a slope of 1.157 (95% CI: 1.109; 1.210). In linear regression analyses, plasma levels of total- and LDL -cholesterol, and triglycerides were positively associated dIEM, iIEM, and plasma magnesium, while glucose and HbA1c were inversely associated with plasma magnesium.</p><p><strong>Conclusions: </strong>We observed a strong correlation between dIEM and iIEM, suggesting that iIEM is a reliable alternative for the labor intensive dIEM method.</p>\",\"PeriodicalId\":504940,\"journal\":{\"name\":\"Clinica chimica acta; international journal of clinical chemistry\",\"volume\":\" \",\"pages\":\"772-780\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.cca.2020.09.007\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinica chimica acta; international journal of clinical chemistry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.cca.2020.09.007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2020/9/11 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinica chimica acta; international journal of clinical chemistry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.cca.2020.09.007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/9/11 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Comparison of two methods for the assessment of intra-erythrocyte magnesium and its determinants: Results from the LifeLines cohort study.
Background: Direct methods for the assessment of intra-erythrocyte magnesium (dIEM) require extensive sample preparation, making them labor intensive. An alternative, less labor intensive method is indirect calculation of intra-erythrocyte magnesium (iIEM). We compared dIEM and iIEM and studied determinants of dIEM and iIEM, plasma magnesium and 24-h urinary magnesium excretion in a large population-based cohort study.
Methods: dIEM and iIEM were measured using a validated inductively coupled plasma mass spectrometry (ICP-MS) method in 1669 individuals from the second screening from the LifeLines Cohort Study. We used linear regression analyses to study the determinants of IEM, plasma magnesium and 24-h urinary magnesium excretion.
Results: Mean dIEM and iIEM were 0.20 ± 0.04 mmol/1012 cells and 0.25 ± 0.04 mmol/1012 cells, respectively. We found a strong correlation between dIEM and iIEM (r = 0.75). Passing-Bablok regression analyses showed an intercept of 0.015 (95% CI: 0.005; 0.023) and a slope of 1.157 (95% CI: 1.109; 1.210). In linear regression analyses, plasma levels of total- and LDL -cholesterol, and triglycerides were positively associated dIEM, iIEM, and plasma magnesium, while glucose and HbA1c were inversely associated with plasma magnesium.
Conclusions: We observed a strong correlation between dIEM and iIEM, suggesting that iIEM is a reliable alternative for the labor intensive dIEM method.