Theodoros Liapikos
Overview
Explore the profile of Theodoros Liapikos including associated specialties, affiliations and a list of published articles.
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Articles
7
Citations
27
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Recent Articles
1.
Mouskeftara T, Kalopitas G, Liapikos T, Arvanitakis K, Theocharidou E, Germanidis G, et al.
Int J Mol Sci
. 2024 Dec;
25(23).
PMID: 39684777
Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) is the most common chronic liver disorder in Western countries, encompassing a range of conditions from steatosis to Metabolic Dysfunction-Associated Steatohepatitis (MASH), which can...
2.
Mouskeftara T, Deda O, Liapikos T, Panteris E, Karagiannidis E, Papazoglou A, et al.
J Proteome Res
. 2024 Jul;
23(8):3598-3611.
PMID: 39008891
Lipidomics emerges as a promising research field with the potential to help in personalized risk stratification and improve our understanding on the functional role of individual lipid species in the...
3.
Mouskeftara T, Kalopitas G, Liapikos T, Arvanitakis K, Germanidis G, Gika H
Int J Mol Sci
. 2024 Jun;
25(11).
PMID: 38892150
Nonalcoholic fatty liver disease (NAFLD), nowadays the most prevalent chronic liver disease in Western countries, is characterized by a variable phenotype ranging from steatosis to nonalcoholic steatohepatitis (NASH). Intracellular lipid...
4.
Kalopitas G, Mouskeftara T, Liapikos T, Arvanitakis K, Ioannidis A, Malandris K, et al.
Int J Mol Sci
. 2023 Aug;
24(16).
PMID: 37628898
Patients with non-alcoholic steatohepatitis (NASH) show significantly faster progress in the stages of fibrosis compared to those with non-alcoholic fatty liver (NAFL) disease. The non-invasive diagnosis of NASH remains an...
5.
Diamantidou D, Sampsonidis I, Liapikos T, Gika H, Theodoridis G
J Chromatogr A
. 2023 Jan;
1690:463779.
PMID: 36681007
Untargeted metabolomic studies require an extensive set of analyte (metabolic) information to be obtained from each analyzed sample. Thus, highly selective, and efficient analytical methodologies together with reversed-phase (RP) or...
6.
Panteris E, Deda O, Papazoglou A, Karagiannidis E, Liapikos T, Begou O, et al.
Metabolites
. 2022 Sep;
12(9).
PMID: 36144220
Developing risk assessment tools for CAD prediction remains challenging nowadays. We developed an ML predictive algorithm based on metabolic and clinical data for determining the severity of CAD, as assessed...
7.
Kodra D, Pousinis P, Vorkas P, Kademoglou K, Liapikos T, Pechlivanis A, et al.
J Proteome Res
. 2021 Dec;
21(3):590-598.
PMID: 34928621
Metabolite identification remains a bottleneck and a still unregulated area in untargeted LC-MS metabolomics. The metabolomics research community and, in particular, the metabolomics standards initiative (MSI) proposed minimum reporting standards...