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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,...

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Principais autores: Pauzi, Fatin Athirah, Sahathevan, Sharmela, Khor, Ban Hock, Narayanan, Sreelakshmi Sankara, Zakaria, Nor Fadhlina, Abas, Faridah, Karuppiah, Thilakavathy, Mat Daud, Zulfitri 'Azuan
Formato: Atigo
Idioma:English
Publicado em: Multidisciplinary Digital Publishing Institute 2020
Acesso em linha:http://psasir.upm.edu.my/id/eprint/88910/1/PRO.pdf
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spelling oai:psasir.upm.edu.my:88910 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
institution UPM IR
collection UPM IR
language English
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.
format Article
author Pauzi, Fatin Athirah
Sahathevan, Sharmela
Khor, Ban Hock
Narayanan, Sreelakshmi Sankara
Zakaria, Nor Fadhlina
Abas, Faridah
Karuppiah, Thilakavathy
Mat Daud, Zulfitri 'Azuan
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
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
title Exploring metabolic signature of protein energy wasting in hemodialysis patients
title_short 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_sort exploring metabolic signature of protein energy wasting in hemodialysis patients
publisher Multidisciplinary Digital Publishing Institute
publishDate 2020
url http://psasir.upm.edu.my/id/eprint/88910/1/PRO.pdf
_version_ 1819300292644044800
score 13.4562235

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