Advancing Biomarker Research: In Situ Cu Isotope Analysis in Liver Tumors by LA-MC-ICP-MS

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL Analytical Chemistry Pub Date : 2025-02-18 DOI:10.1021/acs.analchem.4c05626
Mathias Schannor, Marcus Oelze, Heike Traub, Yubei He, Robin Schmidt, Luisa Heidemann, Lynn Jeanette Savic, Jochen Vogl, Björn Meermann
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Here, we established an <i>in situ</i> method using laser ablation-multicollector-inductively coupled plasma-mass spectrometry (LA-MC-ICP-MS) to advance our understanding of the underlying processes responsible for isotope fractionation between normal and diseased tissues. Gelatin-based bracketing standards and quality control reference materials, crucial for laser ablation analysis, were developed to allow correction for instrumentally induced isotope fractionation during LA-MC-ICP-MS analysis. Using such matrix-matched standards, the method achieved intermediate precisions for delta values of better than 0.15 ‰ (2 <i>s</i>) for inorganic reference materials and of better than 0.17 ‰ (2 <i>s</i>) for biological reference materials. The developed routine was tested on rabbit VX2 liver tumor samples, a model system resembling human hepatocellular carcinoma (HCC) used to study liver cancer. <i>In situ</i> Cu isotope compositions between healthy (<i></i><span style=\"color: inherit;\"></span><span data-mathml='&lt;math xmlns=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"&gt;&lt;msubsup&gt;&lt;mrow&gt;&lt;mi&gt;&amp;#x3B4;&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;NIST&lt;/mi&gt;&lt;mn&gt;976&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;65/63&lt;/mi&gt;&lt;/mrow&gt;&lt;/msubsup&gt;&lt;mrow&gt;&lt;mo stretchy=\"false\"&gt;(&lt;/mo&gt;&lt;mi&gt;Cu&lt;/mi&gt;&lt;mo stretchy=\"false\"&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;/math&gt;' role=\"presentation\" style=\"position: relative;\" tabindex=\"0\"><nobr aria-hidden=\"true\"><span style=\"width: 5.514em; display: inline-block;\"><span style=\"display: inline-block; position: relative; width: 5.003em; height: 0px; font-size: 110%;\"><span style=\"position: absolute; clip: rect(1.48em, 1004.95em, 3.014em, -999.997em); top: -2.554em; left: 0em;\"><span><span><span style=\"display: inline-block; position: relative; width: 3.185em; height: 0px;\"><span style=\"position: absolute; clip: rect(3.128em, 1000.46em, 4.151em, -999.997em); top: -3.974em; left: 0em;\"><span><span style=\"font-family: STIXMathJax_Normal-italic;\">𝛿</span></span><span style=\"display: inline-block; width: 0px; height: 3.98em;\"></span></span><span style=\"position: absolute; clip: rect(3.298em, 1001.71em, 4.151em, -999.997em); top: -4.372em; left: 0.457em;\"><span><span style=\"font-size: 70.7%; font-family: STIXMathJax_Main;\">65/63</span></span><span style=\"display: inline-block; width: 0px; height: 3.98em;\"></span></span><span style=\"position: absolute; clip: rect(3.298em, 1002.73em, 4.151em, -999.997em); top: -3.69em; left: 0.457em;\"><span><span style=\"font-size: 70.7%; font-family: STIXMathJax_Main;\">NIST</span><span style=\"font-size: 70.7%; font-family: STIXMathJax_Main;\">976</span></span><span style=\"display: inline-block; width: 0px; height: 3.98em;\"></span></span></span></span><span><span style=\"font-family: STIXMathJax_Main;\">(</span><span style=\"font-family: STIXMathJax_Main;\">Cu</span><span style=\"font-family: STIXMathJax_Main;\">)</span></span></span><span style=\"display: inline-block; width: 0px; height: 2.56em;\"></span></span></span><span style=\"display: inline-block; overflow: hidden; vertical-align: -0.372em; border-left: 0px solid; width: 0px; height: 1.441em;\"></span></span></nobr><span role=\"presentation\"><math display=\"inline\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><msubsup><mrow><mi>δ</mi></mrow><mrow><mi>NIST</mi><mn>976</mn></mrow><mrow><mi>65/63</mi></mrow></msubsup><mrow><mo stretchy=\"false\">(</mo><mi>Cu</mi><mo stretchy=\"false\">)</mo></mrow></math></span></span><script type=\"math/mml\"><math display=\"inline\"><msubsup><mrow><mi>δ</mi></mrow><mrow><mi>NIST</mi><mn>976</mn></mrow><mrow><mi>65/63</mi></mrow></msubsup><mrow><mo stretchy=\"false\">(</mo><mi>Cu</mi><mo stretchy=\"false\">)</mo></mrow></math></script> = −1.5 ‰ to 0.2 ‰) and tumorous (<i></i><span style=\"color: inherit;\"></span><span data-mathml='&lt;math xmlns=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"&gt;&lt;msubsup&gt;&lt;mrow&gt;&lt;mi&gt;&amp;#x3B4;&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;NIST&lt;/mi&gt;&lt;mn&gt;976&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;65/63&lt;/mi&gt;&lt;/mrow&gt;&lt;/msubsup&gt;&lt;mrow&gt;&lt;mo stretchy=\"false\"&gt;(&lt;/mo&gt;&lt;mi&gt;Cu&lt;/mi&gt;&lt;mo stretchy=\"false\"&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;/math&gt;' role=\"presentation\" style=\"position: relative;\" tabindex=\"0\"><nobr aria-hidden=\"true\"><span style=\"width: 5.514em; display: inline-block;\"><span style=\"display: inline-block; position: relative; width: 5.003em; height: 0px; font-size: 110%;\"><span style=\"position: absolute; clip: rect(1.48em, 1004.95em, 3.014em, -999.997em); top: -2.554em; left: 0em;\"><span><span><span style=\"display: inline-block; position: relative; width: 3.185em; height: 0px;\"><span style=\"position: absolute; clip: rect(3.128em, 1000.46em, 4.151em, -999.997em); top: -3.974em; left: 0em;\"><span><span style=\"font-family: STIXMathJax_Normal-italic;\">𝛿</span></span><span style=\"display: inline-block; width: 0px; height: 3.98em;\"></span></span><span style=\"position: absolute; clip: rect(3.298em, 1001.71em, 4.151em, -999.997em); top: -4.372em; left: 0.457em;\"><span><span style=\"font-size: 70.7%; font-family: STIXMathJax_Main;\">65/63</span></span><span style=\"display: inline-block; width: 0px; height: 3.98em;\"></span></span><span style=\"position: absolute; clip: rect(3.298em, 1002.73em, 4.151em, -999.997em); top: -3.69em; left: 0.457em;\"><span><span style=\"font-size: 70.7%; font-family: STIXMathJax_Main;\">NIST</span><span style=\"font-size: 70.7%; font-family: STIXMathJax_Main;\">976</span></span><span style=\"display: inline-block; width: 0px; height: 3.98em;\"></span></span></span></span><span><span style=\"font-family: STIXMathJax_Main;\">(</span><span style=\"font-family: STIXMathJax_Main;\">Cu</span><span style=\"font-family: STIXMathJax_Main;\">)</span></span></span><span style=\"display: inline-block; width: 0px; height: 2.56em;\"></span></span></span><span style=\"display: inline-block; overflow: hidden; vertical-align: -0.372em; border-left: 0px solid; width: 0px; height: 1.441em;\"></span></span></nobr><span role=\"presentation\"><math display=\"inline\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><msubsup><mrow><mi>δ</mi></mrow><mrow><mi>NIST</mi><mn>976</mn></mrow><mrow><mi>65/63</mi></mrow></msubsup><mrow><mo stretchy=\"false\">(</mo><mi>Cu</mi><mo stretchy=\"false\">)</mo></mrow></math></span></span><script type=\"math/mml\"><math display=\"inline\"><msubsup><mrow><mi>δ</mi></mrow><mrow><mi>NIST</mi><mn>976</mn></mrow><mrow><mi>65/63</mi></mrow></msubsup><mrow><mo stretchy=\"false\">(</mo><mi>Cu</mi><mo stretchy=\"false\">)</mo></mrow></math></script> = 0.0 ‰ to 1.3 ‰) liver tissue show distinct differences in their isotope ratios. The observed isotopic dichotomy is consistent with previous solution-based MC-ICP-MS work, showing enrichment of heavy <sup>65</sup>Cu in cancer biopsies relative to healthy tissue.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"21 1","pages":""},"PeriodicalIF":6.7000,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.analchem.4c05626","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
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Abstract

Stable metal isotopes have received increasing attention as medical biomarkers due to their potential to detect changes in metal metabolism related to diseases. In particular, copper stable isotopes are a powerful tool to identify isotopic variation between tumors and healthy tissue, suggesting application in cancer diagnosis. However, potential mechanisms causing isotope fractionation, such as redox- or bond-forming reactions and interactions of metals during transmembrane import and export, are less well understood. Here, we established an in situ method using laser ablation-multicollector-inductively coupled plasma-mass spectrometry (LA-MC-ICP-MS) to advance our understanding of the underlying processes responsible for isotope fractionation between normal and diseased tissues. Gelatin-based bracketing standards and quality control reference materials, crucial for laser ablation analysis, were developed to allow correction for instrumentally induced isotope fractionation during LA-MC-ICP-MS analysis. Using such matrix-matched standards, the method achieved intermediate precisions for delta values of better than 0.15 ‰ (2 s) for inorganic reference materials and of better than 0.17 ‰ (2 s) for biological reference materials. The developed routine was tested on rabbit VX2 liver tumor samples, a model system resembling human hepatocellular carcinoma (HCC) used to study liver cancer. In situ Cu isotope compositions between healthy (δNIST97665/63(Cu) = −1.5 ‰ to 0.2 ‰) and tumorous (δNIST97665/63(Cu) = 0.0 ‰ to 1.3 ‰) liver tissue show distinct differences in their isotope ratios. The observed isotopic dichotomy is consistent with previous solution-based MC-ICP-MS work, showing enrichment of heavy 65Cu in cancer biopsies relative to healthy tissue.

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推进生物标志物研究:LA-MC-ICP-MS原位分析肝脏肿瘤中的Cu同位素
稳定的金属同位素作为医学生物标志物越来越受到关注,因为它们具有检测与疾病相关的金属代谢变化的潜力。特别是,铜稳定同位素是识别肿瘤和健康组织之间同位素差异的有力工具,可能在癌症诊断中应用。然而,引起同位素分馏的潜在机制,如氧化还原或成键反应以及金属在跨膜输入和输出过程中的相互作用,尚不清楚。在这里,我们建立了一种原位方法,使用激光烧蚀-多收集器-电感耦合等离子体质谱(LA-MC-ICP-MS)来推进我们对正常和病变组织之间同位素分异的潜在过程的理解。开发了激光烧蚀分析至关重要的明胶基包封标准品和质量控制参考物质,以便在LA-MC-ICP-MS分析过程中对仪器诱导的同位素分馏进行校正。使用该基质匹配标准品,该方法对无机标准品的δ值优于0.15‰(2 s),对生物标准品的δ值优于0.17‰(2 s)。在兔VX2肝肿瘤样本上进行了实验,VX2是一种类似于人类肝细胞癌(HCC)的模型系统,用于研究肝癌。健康肝组织(𝛿65/63NIST976(Cu)δNIST97665/63(Cu)δNIST97665/63(Cu) δNIST97665/63(Cu) = - 1.5‰~ 0.2‰)与肿瘤肝组织(𝛿65/63NIST976(Cu)δNIST97665/63(Cu)δNIST97665/63(Cu) = 0.0‰~ 1.3‰)原位Cu同位素组成差异显著。观察到的同位素二分法与先前基于溶液的MC-ICP-MS工作一致,显示相对于健康组织,癌症活检组织中富集重65Cu。
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来源期刊
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
期刊介绍: Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.
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