Identification of Insulin Resistance Biomarkers in Metabolic Syndrome Detected by UHPLC-ESI-QTOF-MS
Metabolic syndrome (MetS) is a disorder characterized by a group of factors that can increase the risk of chronic diseases, including cardiovascular diseases and type 2 diabetes mellitus (T2D). Metabolomics has provided new insight into disease diagnosis and biomarker identification. This cross-sect...
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| Format: | Article |
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MDPI AG
2022-06-01
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| Series: | Metabolites |
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| Online Access: | https://www.mdpi.com/2218-1989/12/6/508 |
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| author | Leen Oyoun Alsoud Nelson C. Soares Hamza M. Al-Hroub Muath Mousa Violet Kasabri Nailya Bulatova Maysa Suyagh Karem H. Alzoubi Waseem El-Huneidi Bashaer Abu-Irmaileh Yasser Bustanji Mohammad H. Semreen |
| author_facet | Leen Oyoun Alsoud Nelson C. Soares Hamza M. Al-Hroub Muath Mousa Violet Kasabri Nailya Bulatova Maysa Suyagh Karem H. Alzoubi Waseem El-Huneidi Bashaer Abu-Irmaileh Yasser Bustanji Mohammad H. Semreen |
| author_sort | Leen Oyoun Alsoud |
| collection | DOAJ |
| description | Metabolic syndrome (MetS) is a disorder characterized by a group of factors that can increase the risk of chronic diseases, including cardiovascular diseases and type 2 diabetes mellitus (T2D). Metabolomics has provided new insight into disease diagnosis and biomarker identification. This cross-sectional investigation used an untargeted metabolomics-based technique to uncover metabolomic alterations and their relationship to pathways in normoglycemic and prediabetic MetS participants to improve disease diagnosis. Plasma samples were collected from drug-naive prediabetic MetS patients (<i>n</i> = 26), normoglycemic MetS patients (<i>n</i> = 30), and healthy (normoglycemic lean) subjects (<i>n</i> = 30) who met the inclusion criteria for the study. The plasma samples were analyzed using highly sensitive ultra-high-performance liquid chromatography electrospray ionization quadrupole time-of-flight mass spectrometry (UHPLC-ESI-QTOF-MS). One-way ANOVA analysis revealed that 59 metabolites differed significantly among the three groups (<i>p</i> < 0.05). Glutamine, 5-hydroxy-L-tryptophan, L-sorbose, and hippurate were highly associated with MetS. However, 9-methyluric acid, sphinganine, and threonic acid were highly associated with prediabetes/MetS. Metabolic pathway analysis showed that arginine biosynthesis and glutathione metabolism were associated with MetS/prediabetes, while phenylalanine, D-glutamine and D-glutamate, and lysine degradation were highly impacted in MetS. The current study sheds light on the potential diagnostic value of some metabolites in metabolic syndrome and the role of their alteration on some of the metabolic pathways. More studies are needed in larger cohorts in order to verify the implication of the above metabolites on MetS and their diagnostic value. |
| first_indexed | 2024-03-09T23:05:21Z |
| format | Article |
| id | doaj.art-dd9ca6ecb94143ccbb827fe6a38b4c1b |
| institution | Directory Open Access Journal |
| issn | 2218-1989 |
| language | English |
| last_indexed | 2024-03-09T23:05:21Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Metabolites |
| spelling | doaj.art-dd9ca6ecb94143ccbb827fe6a38b4c1b2023-11-23T17:55:49ZengMDPI AGMetabolites2218-19892022-06-0112650810.3390/metabo12060508Identification of Insulin Resistance Biomarkers in Metabolic Syndrome Detected by UHPLC-ESI-QTOF-MSLeen Oyoun Alsoud0Nelson C. Soares1Hamza M. Al-Hroub2Muath Mousa3Violet Kasabri4Nailya Bulatova5Maysa Suyagh6Karem H. Alzoubi7Waseem El-Huneidi8Bashaer Abu-Irmaileh9Yasser Bustanji10Mohammad H. Semreen11College of Pharmacy, University of Sharjah, Sharjah P.O. Box 27272, United Arab EmiratesCollege of Pharmacy, University of Sharjah, Sharjah P.O. Box 27272, United Arab EmiratesSharjah Institute for Medical Research, University of Sharjah, Sharjah P.O. Box 27272, United Arab EmiratesResearch Institute of Science and Engineering, University of Sharjah, Sharjah P.O. Box 27272, United Arab EmiratesSchool of Pharmacy, The University of Jordan, Amman 11942, JordanSchool of Pharmacy, The University of Jordan, Amman 11942, JordanSchool of Pharmacy, The University of Jordan, Amman 11942, JordanCollege of Pharmacy, University of Sharjah, Sharjah P.O. Box 27272, United Arab EmiratesSharjah Institute for Medical Research, University of Sharjah, Sharjah P.O. Box 27272, United Arab EmiratesHamdi Mango Center for Scientific Research, The University of Jordan, Amman 11942, JordanSharjah Institute for Medical Research, University of Sharjah, Sharjah P.O. Box 27272, United Arab EmiratesCollege of Pharmacy, University of Sharjah, Sharjah P.O. Box 27272, United Arab EmiratesMetabolic syndrome (MetS) is a disorder characterized by a group of factors that can increase the risk of chronic diseases, including cardiovascular diseases and type 2 diabetes mellitus (T2D). Metabolomics has provided new insight into disease diagnosis and biomarker identification. This cross-sectional investigation used an untargeted metabolomics-based technique to uncover metabolomic alterations and their relationship to pathways in normoglycemic and prediabetic MetS participants to improve disease diagnosis. Plasma samples were collected from drug-naive prediabetic MetS patients (<i>n</i> = 26), normoglycemic MetS patients (<i>n</i> = 30), and healthy (normoglycemic lean) subjects (<i>n</i> = 30) who met the inclusion criteria for the study. The plasma samples were analyzed using highly sensitive ultra-high-performance liquid chromatography electrospray ionization quadrupole time-of-flight mass spectrometry (UHPLC-ESI-QTOF-MS). One-way ANOVA analysis revealed that 59 metabolites differed significantly among the three groups (<i>p</i> < 0.05). Glutamine, 5-hydroxy-L-tryptophan, L-sorbose, and hippurate were highly associated with MetS. However, 9-methyluric acid, sphinganine, and threonic acid were highly associated with prediabetes/MetS. Metabolic pathway analysis showed that arginine biosynthesis and glutathione metabolism were associated with MetS/prediabetes, while phenylalanine, D-glutamine and D-glutamate, and lysine degradation were highly impacted in MetS. The current study sheds light on the potential diagnostic value of some metabolites in metabolic syndrome and the role of their alteration on some of the metabolic pathways. More studies are needed in larger cohorts in order to verify the implication of the above metabolites on MetS and their diagnostic value.https://www.mdpi.com/2218-1989/12/6/508metabolic syndromeuntargeted metabolomicsUHPLC-ESI-QTOF-MSmetabolitesmetabolic pathwaysMetaboAnalyst |
| spellingShingle | Leen Oyoun Alsoud Nelson C. Soares Hamza M. Al-Hroub Muath Mousa Violet Kasabri Nailya Bulatova Maysa Suyagh Karem H. Alzoubi Waseem El-Huneidi Bashaer Abu-Irmaileh Yasser Bustanji Mohammad H. Semreen Identification of Insulin Resistance Biomarkers in Metabolic Syndrome Detected by UHPLC-ESI-QTOF-MS Metabolites metabolic syndrome untargeted metabolomics UHPLC-ESI-QTOF-MS metabolites metabolic pathways MetaboAnalyst |
| title | Identification of Insulin Resistance Biomarkers in Metabolic Syndrome Detected by UHPLC-ESI-QTOF-MS |
| title_full | Identification of Insulin Resistance Biomarkers in Metabolic Syndrome Detected by UHPLC-ESI-QTOF-MS |
| title_fullStr | Identification of Insulin Resistance Biomarkers in Metabolic Syndrome Detected by UHPLC-ESI-QTOF-MS |
| title_full_unstemmed | Identification of Insulin Resistance Biomarkers in Metabolic Syndrome Detected by UHPLC-ESI-QTOF-MS |
| title_short | Identification of Insulin Resistance Biomarkers in Metabolic Syndrome Detected by UHPLC-ESI-QTOF-MS |
| title_sort | identification of insulin resistance biomarkers in metabolic syndrome detected by uhplc esi qtof ms |
| topic | metabolic syndrome untargeted metabolomics UHPLC-ESI-QTOF-MS metabolites metabolic pathways MetaboAnalyst |
| url | https://www.mdpi.com/2218-1989/12/6/508 |
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