Desirée Bartolini
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Multivariate Data Analysis Methods and Their Application in Lipidomics: A Gentle Comment on Appropriateness and Reliability Criteria
In a recent letter to the Editor [1] Yoshiyasu Takefuji raised some issues about the methodology used to analyse the lipomics data in our article “Melatonin Repairs the Lipidome of Human Hepatocytes Exposed to Cd and Free Fatty Acid-Induced Lipotoxicity” [2]. The critique specifically concerned an alleged misuse of Principal Component Analysis (PCA) and Partial Least Square Discriminant Analysis (PLS-DA) methods to evaluate and interpret omics results.
Melatonin Repairs the Lipidome of Human Hepatocytes Exposed to Cd and Free Fatty Acid‐Induced Lipotoxicity
1 Introduction Melatonin (MLT) is a cytoprotective agent efficient in preventing the effects of a range of toxic stimuli [1]. These include the exposure to potentially toxic elements (PTE) as cadmium (Cd) [[2, 3] and references therein], an increasingly concerning threat since of its environmental diffusion and proposed role in chronic ailments such as cancer and some endocrine and metabolic diseases [4-6].
Oxidative stress, defective proteostasis and immunometabolic complications in critically ill patients
CONFLICT OF INTEREST STATEMENT FG has been advisor or received grants and honoraria for presentations from Asahi Medical and Toray Industries. CR has been advisor or member of the speaker bureau or received honoraria for presentations in the last 3 years from the following companies: Asahi medical, Aferetica, Baxter, Biomerieux, B.Braun, Cytosorbents, Fresenius medical care, Medtronic, Jafron Medical, ESTOR, Nipro, Medica, GE. REFERENCES 1, , , et al.
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