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A proton nuclear magnetic resonance-based metabonomics study of metabolic profiling in immunoglobulin a nephropathy

OBJECTIVES: Immunoglobulin A nephropathy is the most common cause of chronic renal failure among primary glomerulonephritis patients. The ability to diagnose immunoglobulin A nephropathy remains poor. However, renal biopsy is an inconvenient, invasive, and painful examination, and no reliable biomar...

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Autores principales: Sui, Weiguo, Li, Liping, Che, Wenti, Zuo, Guimai, Chen, Jiejing, Li, Wuxian, Dai, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3317244/
https://www.ncbi.nlm.nih.gov/pubmed/22522762
http://dx.doi.org/10.6061/clinics/2012(04)10
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author Sui, Weiguo
Li, Liping
Che, Wenti
Zuo, Guimai
Chen, Jiejing
Li, Wuxian
Dai, Yong
author_facet Sui, Weiguo
Li, Liping
Che, Wenti
Zuo, Guimai
Chen, Jiejing
Li, Wuxian
Dai, Yong
author_sort Sui, Weiguo
collection PubMed
description OBJECTIVES: Immunoglobulin A nephropathy is the most common cause of chronic renal failure among primary glomerulonephritis patients. The ability to diagnose immunoglobulin A nephropathy remains poor. However, renal biopsy is an inconvenient, invasive, and painful examination, and no reliable biomarkers have been developed for use in routine patient evaluations. The aims of the present study were to identify immunoglobulin A nephropathy patients, to identify useful biomarkers of immunoglobulin A nephropathy and to establish a human immunoglobulin A nephropathy metabolic profile. METHODS: Serum samples were collected from immunoglobulin A nephropathy patients who were not using immunosuppressants. A pilot study was undertaken to determine disease-specific metabolite biomarker profiles in three groups: healthy controls (N = 23), low-risk patients in whom immunoglobulin A nephropathy was confirmed as grades I-II by renal biopsy (N = 23), and high-risk patients with nephropathies of grades IV-V (N = 12). Serum samples were analyzed using proton nuclear magnetic resonance spectroscopy and by applying multivariate pattern recognition analysis for disease classification. RESULTS: Compared with the healthy controls, both the low-risk and high-risk patients had higher levels of phenylalanine, myo-Inositol, lactate, L6 lipids ( = CH-CH(2)-CH = O), L5 lipids (-CH(2)-C = O), and L3 lipids (-CH(2)-CH(2)-C = O) as well as lower levels of β-glucose, α-glucose, valine, tyrosine, phosphocholine, lysine, isoleucine, glycerolphosphocholine, glycine, glutamine, glutamate, alanine, acetate, 3-hydroxybutyrate, and 1-methylhistidine. CONCLUSIONS: These metabolites investigated in this study may serve as potential biomarkers of immunoglobulin A nephropathy. Point scoring of pattern recognition analysis was able to distinguish immunoglobulin A nephropathy patients from healthy controls. However, there were no obvious differences between the low-risk and high-risk groups in our research. These results offer new, sensitive and specific, noninvasive approaches that may be of great benefit to immunoglobulin A nephropathy patients by enabling earlier diagnosis.
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spelling pubmed-33172442012-04-04 A proton nuclear magnetic resonance-based metabonomics study of metabolic profiling in immunoglobulin a nephropathy Sui, Weiguo Li, Liping Che, Wenti Zuo, Guimai Chen, Jiejing Li, Wuxian Dai, Yong Clinics (Sao Paulo) Clinical Science OBJECTIVES: Immunoglobulin A nephropathy is the most common cause of chronic renal failure among primary glomerulonephritis patients. The ability to diagnose immunoglobulin A nephropathy remains poor. However, renal biopsy is an inconvenient, invasive, and painful examination, and no reliable biomarkers have been developed for use in routine patient evaluations. The aims of the present study were to identify immunoglobulin A nephropathy patients, to identify useful biomarkers of immunoglobulin A nephropathy and to establish a human immunoglobulin A nephropathy metabolic profile. METHODS: Serum samples were collected from immunoglobulin A nephropathy patients who were not using immunosuppressants. A pilot study was undertaken to determine disease-specific metabolite biomarker profiles in three groups: healthy controls (N = 23), low-risk patients in whom immunoglobulin A nephropathy was confirmed as grades I-II by renal biopsy (N = 23), and high-risk patients with nephropathies of grades IV-V (N = 12). Serum samples were analyzed using proton nuclear magnetic resonance spectroscopy and by applying multivariate pattern recognition analysis for disease classification. RESULTS: Compared with the healthy controls, both the low-risk and high-risk patients had higher levels of phenylalanine, myo-Inositol, lactate, L6 lipids ( = CH-CH(2)-CH = O), L5 lipids (-CH(2)-C = O), and L3 lipids (-CH(2)-CH(2)-C = O) as well as lower levels of β-glucose, α-glucose, valine, tyrosine, phosphocholine, lysine, isoleucine, glycerolphosphocholine, glycine, glutamine, glutamate, alanine, acetate, 3-hydroxybutyrate, and 1-methylhistidine. CONCLUSIONS: These metabolites investigated in this study may serve as potential biomarkers of immunoglobulin A nephropathy. Point scoring of pattern recognition analysis was able to distinguish immunoglobulin A nephropathy patients from healthy controls. However, there were no obvious differences between the low-risk and high-risk groups in our research. These results offer new, sensitive and specific, noninvasive approaches that may be of great benefit to immunoglobulin A nephropathy patients by enabling earlier diagnosis. Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo 2012-04 /pmc/articles/PMC3317244/ /pubmed/22522762 http://dx.doi.org/10.6061/clinics/2012(04)10 Text en Copyright © 2012 Hospital das Clínicas da FMUSP http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Science
Sui, Weiguo
Li, Liping
Che, Wenti
Zuo, Guimai
Chen, Jiejing
Li, Wuxian
Dai, Yong
A proton nuclear magnetic resonance-based metabonomics study of metabolic profiling in immunoglobulin a nephropathy
title A proton nuclear magnetic resonance-based metabonomics study of metabolic profiling in immunoglobulin a nephropathy
title_full A proton nuclear magnetic resonance-based metabonomics study of metabolic profiling in immunoglobulin a nephropathy
title_fullStr A proton nuclear magnetic resonance-based metabonomics study of metabolic profiling in immunoglobulin a nephropathy
title_full_unstemmed A proton nuclear magnetic resonance-based metabonomics study of metabolic profiling in immunoglobulin a nephropathy
title_short A proton nuclear magnetic resonance-based metabonomics study of metabolic profiling in immunoglobulin a nephropathy
title_sort proton nuclear magnetic resonance-based metabonomics study of metabolic profiling in immunoglobulin a nephropathy
topic Clinical Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3317244/
https://www.ncbi.nlm.nih.gov/pubmed/22522762
http://dx.doi.org/10.6061/clinics/2012(04)10
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