Erik R. Andersson*, , , Amanda L. Bayless*, , , Robert B. Brua, , , Fabio Casu, , , Leo L. Cheng, , , Munki Choo, , , Arthur S. Edison, , , Hamid R. Eghbalnia, , , Candace C. Fleischer, , , Goncalo J. Gouveia, , , Jeffrey C. Hoch, , , Gagandeep Kaur, , , Da-Wei Li, , , Wimal Pathmasiri, , , István Pelczer, , , Fay Probert, , , Daniel Raftery, , , David Rovnyak, , , Michael Secreto, , , Tracey B. Schock, , , Panteleimon G. Takis, , , Mario Uchimiya, , , David S. Wishart, , , Ali Yılmaz, , , Lloyd W. Sumner, , , Robert Powers, , , Valérie Copié, , and , Teklab Gebregiworgis*,
{"title":"Securing the Future of NMR Metabolomics Reproducibility: A Call for Standardized Reporting","authors":"Erik R. Andersson*, , , Amanda L. Bayless*, , , Robert B. Brua, , , Fabio Casu, , , Leo L. Cheng, , , Munki Choo, , , Arthur S. Edison, , , Hamid R. Eghbalnia, , , Candace C. Fleischer, , , Goncalo J. Gouveia, , , Jeffrey C. Hoch, , , Gagandeep Kaur, , , Da-Wei Li, , , Wimal Pathmasiri, , , István Pelczer, , , Fay Probert, , , Daniel Raftery, , , David Rovnyak, , , Michael Secreto, , , Tracey B. Schock, , , Panteleimon G. Takis, , , Mario Uchimiya, , , David S. Wishart, , , Ali Yılmaz, , , Lloyd W. Sumner, , , Robert Powers, , , Valérie Copié, , and , Teklab Gebregiworgis*, ","doi":"10.1021/acs.analchem.5c03274","DOIUrl":null,"url":null,"abstract":"<p >Metabolomics is a rapidly growing multidisciplinary field with ever increasing demand and usability, which is attracting a surge of new researchers. While their varied skill sets, scientific questions, and approaches enrich the field with fresh perspectives and innovation, individual investigators also bring wide-ranging levels of metabolomics-specific experience and diverse areas of interest. These factors introduce considerable variability and inconsistency in both the methodology and reporting. A recent comparative literature review of nuclear magnetic resonance (NMR) metabolomics from studies published in 2010 and 2020 revealed significant shortcomings in the reporting of experimental details necessary for evaluating both the scientific rigor and the reproducibility of NMR-based metabolomics experiments. Each stage of metabolomics research contains multiple methodological choices and various optimization parameters, all of which can introduce experimental bias and alter the study results. This emphasizes the need for proper reporting to enhance reproducibility, data reusability, and study comparability. To address these concerns, the NMR Special Interest Group within the Metabolomics Association of North America presents reporting recommendations focused on fundamental aspects of NMR metabolomics research identified from the detailed literature review report. These include specifics with respect to study design, sample preparation, data acquisition, data processing and analysis, data accessibility, and comparability to previous studies. Also presented is a complementary list of seminal papers in the field to guide the study design and implementation of NMR metabolomics experiments. This initiative seeks to enhance the long-term impact of NMR metabolomics by supporting high-quality, reproducible, and impactful data collected from well-executed and thoroughly reported studies.</p>","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"97 38","pages":"20655–20666"},"PeriodicalIF":6.7000,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.5c03274","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acs.analchem.5c03274","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Metabolomics is a rapidly growing multidisciplinary field with ever increasing demand and usability, which is attracting a surge of new researchers. While their varied skill sets, scientific questions, and approaches enrich the field with fresh perspectives and innovation, individual investigators also bring wide-ranging levels of metabolomics-specific experience and diverse areas of interest. These factors introduce considerable variability and inconsistency in both the methodology and reporting. A recent comparative literature review of nuclear magnetic resonance (NMR) metabolomics from studies published in 2010 and 2020 revealed significant shortcomings in the reporting of experimental details necessary for evaluating both the scientific rigor and the reproducibility of NMR-based metabolomics experiments. Each stage of metabolomics research contains multiple methodological choices and various optimization parameters, all of which can introduce experimental bias and alter the study results. This emphasizes the need for proper reporting to enhance reproducibility, data reusability, and study comparability. To address these concerns, the NMR Special Interest Group within the Metabolomics Association of North America presents reporting recommendations focused on fundamental aspects of NMR metabolomics research identified from the detailed literature review report. These include specifics with respect to study design, sample preparation, data acquisition, data processing and analysis, data accessibility, and comparability to previous studies. Also presented is a complementary list of seminal papers in the field to guide the study design and implementation of NMR metabolomics experiments. This initiative seeks to enhance the long-term impact of NMR metabolomics by supporting high-quality, reproducible, and impactful data collected from well-executed and thoroughly reported studies.
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.