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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,...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7408592/ https://www.ncbi.nlm.nih.gov/pubmed/32708829 http://dx.doi.org/10.3390/metabo10070291 |
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author | Pauzi, Fatin Athirah Sahathevan, Sharmela Khor, Ban-Hock Narayanan, Sreelakshmi Sankara Zakaria, Nor Fadhlina Abas, Faridah Karupaiah, Tilakavati Daud, Zulfitri Azuan Mat |
author_facet | Pauzi, Fatin Athirah Sahathevan, Sharmela Khor, Ban-Hock Narayanan, Sreelakshmi Sankara Zakaria, Nor Fadhlina Abas, Faridah Karupaiah, Tilakavati Daud, Zulfitri Azuan Mat |
author_sort | Pauzi, Fatin Athirah |
collection | PubMed |
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 (1)H-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. |
format | Online Article Text |
id | pubmed-7408592 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74085922020-08-13 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 Karupaiah, Tilakavati Daud, Zulfitri Azuan Mat Metabolites Article 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 (1)H-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. MDPI 2020-07-16 /pmc/articles/PMC7408592/ /pubmed/32708829 http://dx.doi.org/10.3390/metabo10070291 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Pauzi, Fatin Athirah Sahathevan, Sharmela Khor, Ban-Hock Narayanan, Sreelakshmi Sankara Zakaria, Nor Fadhlina Abas, Faridah Karupaiah, Tilakavati Daud, Zulfitri Azuan Mat 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7408592/ https://www.ncbi.nlm.nih.gov/pubmed/32708829 http://dx.doi.org/10.3390/metabo10070291 |
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