Exploring metabolic signature of protein energy wasting in hemodialysis patients
End-stage renal disease patients undergoing maintenance hemodialysis (HD) are vulnerable to the protein energy wasting (PEW) syndrome. Identification and diagnosis of PEW relies on clinical processes of judgment dependent on fulfilling multiple criteria drawn from serum biochemistry, weight status,...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Multidisciplinary Digital Publishing Institute
2020
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| Online Access: | http://psasir.upm.edu.my/id/eprint/88910/1/PRO.pdf |
| _version_ | 1825936591582920704 |
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| author | Pauzi, Fatin Athirah Sahathevan, Sharmela Khor, Ban Hock Narayanan, Sreelakshmi Sankara Zakaria, Nor Fadhlina Abas, Faridah Karuppiah, Thilakavathy Mat Daud, Zulfitri 'Azuan |
| author_facet | Pauzi, Fatin Athirah Sahathevan, Sharmela Khor, Ban Hock Narayanan, Sreelakshmi Sankara Zakaria, Nor Fadhlina Abas, Faridah Karuppiah, Thilakavathy Mat Daud, Zulfitri 'Azuan |
| author_sort | Pauzi, Fatin Athirah |
| collection | UPM |
| description | End-stage renal disease patients undergoing maintenance hemodialysis (HD) are vulnerable to the protein energy wasting (PEW) syndrome. Identification and diagnosis of PEW relies on clinical processes of judgment dependent on fulfilling multiple criteria drawn from serum biochemistry, weight status, predictive muscle mass, dietary energy and protein intakes. Therefore, we sought to explore the biomarkers' signature with plasma metabolites of PEW by using 1H-nuclear magnetic resonance for an untargeted metabolomics approach in the HD population, to understand metabolic alteration of PEW. In this case-controlled study, a total of 53 patients undergoing chronic HD were identified having PEW based on established diagnostic criteria and were age- and sex-matched with non-PEW (n = 53) HD patients. Fasting predialysis plasma samples were analyzed. Partial least square discriminant analysis demonstrated a significant separation between groups for specific metabolic pattern alterations. Further quantitative analysis showed that the level of 3-hydroxybutyrate, acetate, arabinose, maltose, ribose, sucrose and tartrate were significantly increased whilst creatinine was significantly decreased (all p < 0.05) in PEW subjects. Pathway analysis indicated that PEW-related metabolites reflected perturbations in fatty acid mechanism and induction of glyoxylate and dicarboxylate pathway attributed to gluconeogenesis. These results provide preliminary data in understanding metabolic alteration of PEW and corresponding abnormal metabolites that could potentially serve as biomarkers of PEW. |
| first_indexed | 2024-03-06T10:46:37Z |
| format | Article |
| id | upm.eprints-88910 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:46:37Z |
| publishDate | 2020 |
| publisher | Multidisciplinary Digital Publishing Institute |
| record_format | dspace |
| spelling | upm.eprints-889102021-10-04T23:51:16Z http://psasir.upm.edu.my/id/eprint/88910/ Exploring metabolic signature of protein energy wasting in hemodialysis patients Pauzi, Fatin Athirah Sahathevan, Sharmela Khor, Ban Hock Narayanan, Sreelakshmi Sankara Zakaria, Nor Fadhlina Abas, Faridah Karuppiah, Thilakavathy Mat Daud, Zulfitri 'Azuan End-stage renal disease patients undergoing maintenance hemodialysis (HD) are vulnerable to the protein energy wasting (PEW) syndrome. Identification and diagnosis of PEW relies on clinical processes of judgment dependent on fulfilling multiple criteria drawn from serum biochemistry, weight status, predictive muscle mass, dietary energy and protein intakes. Therefore, we sought to explore the biomarkers' signature with plasma metabolites of PEW by using 1H-nuclear magnetic resonance for an untargeted metabolomics approach in the HD population, to understand metabolic alteration of PEW. In this case-controlled study, a total of 53 patients undergoing chronic HD were identified having PEW based on established diagnostic criteria and were age- and sex-matched with non-PEW (n = 53) HD patients. Fasting predialysis plasma samples were analyzed. Partial least square discriminant analysis demonstrated a significant separation between groups for specific metabolic pattern alterations. Further quantitative analysis showed that the level of 3-hydroxybutyrate, acetate, arabinose, maltose, ribose, sucrose and tartrate were significantly increased whilst creatinine was significantly decreased (all p < 0.05) in PEW subjects. Pathway analysis indicated that PEW-related metabolites reflected perturbations in fatty acid mechanism and induction of glyoxylate and dicarboxylate pathway attributed to gluconeogenesis. These results provide preliminary data in understanding metabolic alteration of PEW and corresponding abnormal metabolites that could potentially serve as biomarkers of PEW. Multidisciplinary Digital Publishing Institute 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/88910/1/PRO.pdf Pauzi, Fatin Athirah and Sahathevan, Sharmela and Khor, Ban Hock and Narayanan, Sreelakshmi Sankara and Zakaria, Nor Fadhlina and Abas, Faridah and Karuppiah, Thilakavathy and Mat Daud, Zulfitri 'Azuan (2020) Exploring metabolic signature of protein energy wasting in hemodialysis patients. Metabolites, 10 (7). pp. 1-16. ISSN 2218-1989 https://pubmed.ncbi.nlm.nih.gov/32708829/ 10.3390/metabo10070291 |
| spellingShingle | Pauzi, Fatin Athirah Sahathevan, Sharmela Khor, Ban Hock Narayanan, Sreelakshmi Sankara Zakaria, Nor Fadhlina Abas, Faridah Karuppiah, Thilakavathy Mat Daud, Zulfitri 'Azuan Exploring metabolic signature of protein energy wasting in hemodialysis patients |
| title | Exploring metabolic signature of protein energy wasting in hemodialysis patients |
| title_full | Exploring metabolic signature of protein energy wasting in hemodialysis patients |
| title_fullStr | Exploring metabolic signature of protein energy wasting in hemodialysis patients |
| title_full_unstemmed | Exploring metabolic signature of protein energy wasting in hemodialysis patients |
| title_short | Exploring metabolic signature of protein energy wasting in hemodialysis patients |
| title_sort | exploring metabolic signature of protein energy wasting in hemodialysis patients |
| url | http://psasir.upm.edu.my/id/eprint/88910/1/PRO.pdf |
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