Before embarking on the details of the results, it is firstly worth noting and re-emphasizing that metabolomic data analysis does not occur in isolation, but is rather intimately linked to the other metabolomics workflow steps that are upstream thereof . Hence, a careful experimental design is mandatory, and statistical rigor, quality assurance, and proper scientific procedures must be followed and applied at every stage of the workflow so as to generate data that actually contain “objectively true” information about the biological question under investigation . Furthermore, these metabolomics workflow steps are not always to be followed linearly. Adaptation and a “forth-back” methodological approach is necessary to revise, correct (avoid distortions), validate, or to further mine the data so as to obtain a comprehensive biological answer with fewer spurious or false positive outcomes to the research question .