TY - JOUR
T1 - Analysis of Metabolite and Lipid Association Networks Reveals Molecular Mechanisms Associated with 3-Month Mortality and Poor Functional Outcomes in Patients with Acute Ischemic Stroke after Thrombolytic Treatment with Recombinant Tissue Plasminogen Activator
AU - Licari, Cristina
AU - Tenori, Leonardo
AU - Giusti, Betti
AU - Sticchi, Elena
AU - Kura, Ada
AU - De Cario, Rosina
AU - Inzitari, Domenico
AU - Piccardi, Benedetta
AU - Nesi, Mascia
AU - Sarti, Cristina
AU - Arba, Francesco
AU - Palumbo, Vanessa
AU - Nencini, Patrizia
AU - Marcucci, Rossella
AU - Gori, Anna Maria
AU - Luchinat, Claudio
AU - Saccenti, Edoardo
N1 - Publisher Copyright:
© 2021 The Authors. Published by American Chemical Society.
PY - 2021/9/2
Y1 - 2021/9/2
N2 - Here, we present an integrated multivariate, univariate, network reconstruction and differential analysis of metabolite-metabolite and metabolite-lipid association networks built from an array of 18 serum metabolites and 110 lipids identified and quantified through nuclear magnetic resonance spectroscopy in a cohort of 248 patients, of which 22 died and 82 developed a poor functional outcome within 3 months from acute ischemic stroke (AIS) treated with intravenous recombinant tissue plasminogen activator. We explored differences in metabolite and lipid connectivity of patients who did not develop a poor outcome and who survived the ischemic stroke from the related opposite conditions. We report statistically significant differences in the connectivity patterns of both low- and high-molecular-weight metabolites, implying underlying variations in the metabolic pathway involving leucine, glycine, glutamine, tyrosine, phenylalanine, citric, lactic, and acetic acids, ketone bodies, and different lipids, thus characterizing patients' outcomes. Our results evidence the promising and powerful role of the metabolite-metabolite and metabolite-lipid association networks in investigating molecular mechanisms underlying AIS patient's outcome.
AB - Here, we present an integrated multivariate, univariate, network reconstruction and differential analysis of metabolite-metabolite and metabolite-lipid association networks built from an array of 18 serum metabolites and 110 lipids identified and quantified through nuclear magnetic resonance spectroscopy in a cohort of 248 patients, of which 22 died and 82 developed a poor functional outcome within 3 months from acute ischemic stroke (AIS) treated with intravenous recombinant tissue plasminogen activator. We explored differences in metabolite and lipid connectivity of patients who did not develop a poor outcome and who survived the ischemic stroke from the related opposite conditions. We report statistically significant differences in the connectivity patterns of both low- and high-molecular-weight metabolites, implying underlying variations in the metabolic pathway involving leucine, glycine, glutamine, tyrosine, phenylalanine, citric, lactic, and acetic acids, ketone bodies, and different lipids, thus characterizing patients' outcomes. Our results evidence the promising and powerful role of the metabolite-metabolite and metabolite-lipid association networks in investigating molecular mechanisms underlying AIS patient's outcome.
KW - lipidome
KW - metabolomics
KW - multivariate exploratory analysis
KW - nuclear magnetic resonance
KW - thrombolysis
U2 - 10.1021/acs.jproteome.1c00406
DO - 10.1021/acs.jproteome.1c00406
M3 - Article
AN - SCOPUS:85115130408
SN - 1535-3893
VL - 20
SP - 4758
EP - 4770
JO - Journal of Proteome Research
JF - Journal of Proteome Research
IS - 10
ER -