Metabolomics and Lipidomics for Studying Metabolic Syndrome: Insights into Cardiovascular Diseases, Type 1 & 2 Diabetes, and Metabolic Dysfunction-Associated Steatotic Liver Disease
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F24%3A00597945" target="_blank" >RIV/67985823:_____/24:00597945 - isvavai.cz</a>
Result on the web
<a href="https://www.biomed.cas.cz/physiolres/pdf/2024/73_S165.pdf" target="_blank" >https://www.biomed.cas.cz/physiolres/pdf/2024/73_S165.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.33549/physiolres.935443" target="_blank" >10.33549/physiolres.935443</a>
Alternative languages
Result language
angličtina
Original language name
Metabolomics and Lipidomics for Studying Metabolic Syndrome: Insights into Cardiovascular Diseases, Type 1 & 2 Diabetes, and Metabolic Dysfunction-Associated Steatotic Liver Disease
Original language description
Metabolomics and lipidomics have emerged as tools in understanding the connections of metabolic syndrome (MetS) with cardiovascular diseases (CVD), type 1 and type 2 diabetes (T1D, T2D), and metabolic dysfunction-associated steatotic liver disease (MASLD). This review highlights the applications of these omics approaches in large-scale cohort studies, emphasizing their role in biomarker discovery and disease prediction. Integrating metabolomics and lipidomics has significantly advanced our understanding of MetS pathology by identifying unique metabolic signatures associated with disease progression. However, challenges such as standardizing analytical workflows, data interpretation, and biomarker validation remain critical for translating research findings into clinical practice. Future research should focus on optimizing these methodologies to enhance their clinical utility and address the global burden of MetS-related diseases.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30202 - Endocrinology and metabolism (including diabetes, hormones)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Physiological Research
ISSN
0862-8408
e-ISSN
1802-9973
Volume of the periodical
73
Issue of the periodical within the volume
Suppl.1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
19
Pages from-to
"S165"-"S183"
UT code for WoS article
001295308400010
EID of the result in the Scopus database
2-s2.0-85202732472