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. 2024 Feb:171:117478.
doi: 10.1016/j.trac.2023.117478. Epub 2023 Dec 12.

Best Practices in NMR Metabolomics: Current State

Affiliations

Best Practices in NMR Metabolomics: Current State

Robert Powers et al. Trends Analyt Chem. 2024 Feb.

Abstract

A literature survey was conducted to identify current practices used by NMR metabolomics investigators when conducting and reporting their metabolomics studies. A total of 463 papers from 2020 and 80 papers from 2010 were selected from PubMed and were manually analyzed by a team of investigators to assess the extent and completeness of the experimental procedures and protocols reported. A significant number of the papers did not report on essential experimental details, incompletely stated which statistical methods were used, improperly applied supervised multivariate statistical analyses, or lacked validation of statistical models. A large diversity of protocols and software were identified, which suggests a lack of consensus and a relatively limited use of commonly agreed upon standards for conducting and reporting NMR metabolomics studies. The overall intent of the survey is to inform and encourage the NMR metabolomics community to develop and adopt best-practices for the field.

Keywords: Best Practices; Literature survey; Metabolomics; NMR.

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Figures

Figure 1.
Figure 1.
Bar graphs of Yes-No survey questions related to study design of NMR-based metabolomic studies.
Figure 2.
Figure 2.
Bar graphs of Yes-No survey questions related to (A) statistical validation and (B) quality control methods of NMR-based metabolomic studies.
Figure 3.
Figure 3.
Bar graphs of Yes-No survey questions related to (A) experimental parameters and (B) processing parameters of NMR-based metabolomic studies.
Figure 4.
Figure 4.
Bar graphs summarizing the number of 2010 and 2020 papers reporting (A) the number of identified and quantified metabolites (binned), (B) the number of biological replicates per group, and (C) the total number of samples. The insert in (A) plots the average and standard deviation of the number of identified and quantified metabolites in 2010 and 2020.

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