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. 2021 Aug 25;414(2):759–789. doi: 10.1007/s00216-021-03586-z

Table 1.

Meta-analyses involving untargeted metabolomics-based approaches

Publication title Data Technology Software Reference
Comprehensive meta-analysis of COVID-19 global metabolomics datasets 7 datasets from 3 countries, including 5 raw datasets from MetaboLights, MassIVE, and authors, and 2 annotated peak tables from 2 publications. 438 blood samples from 337 subjects LC/HRMS MetaboAnalystR 3.0 Pang et al., Metabolites, 2021 [40]
Benford’s law and metabolomics: a tale of numbers and blood Datasets from 3 studies performed by the author, no raw data available, peaktable available for one study LC/HRMS No D'alessandro, Transfus Apher Sci, 2020 [194]
Integrating untargeted metabolomics, genetically informed causal inference, and pathway enrichment to define the obesity metabolome 3 LC/MS datasets, no raw data available, one peaktable available (related to the software publication) LC/HRMS PAIRUP-MS Hsu et al., Int J Obes (Lond), 2020 [195]
MicroRNAs regulating human and mouse naïve pluripotency Meta-analysis including microRNA-seq, RNA-seq, and metabolomics datasets; the metabolomics datasets are from a single published study; peaktables available; no raw data available LC/HRMS, LC/QQQ-MS, GC/MS No Wang et al., Int J Mol Sci, 2019 [196]