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Plasma Metabolomics Identifies the Dysregulated Metabolic Profile of Primary Immune Thrombocytopenia (ITP) Based on GC-MS

ITP is a common autoimmune bleeding disorder with elusive pathogenesis. Our study was implemented to profile the plasma metabolic alterations of patients diagnosed with ITP, aiming at exploring the potential novel biomarkers and partial mechanism of ITP. The metabolomic analysis of plasma samples wa...

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Autores principales: Zhang, Ziyan, Wu, Xiaojin, Zhou, Meng, Qi, Jiaqian, Zhang, Rui, Li, Xueqian, Wang, Chang, Ruan, Changgeng, Han, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170960/
https://www.ncbi.nlm.nih.gov/pubmed/35685646
http://dx.doi.org/10.3389/fphar.2022.845275
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author Zhang, Ziyan
Wu, Xiaojin
Zhou, Meng
Qi, Jiaqian
Zhang, Rui
Li, Xueqian
Wang, Chang
Ruan, Changgeng
Han, Yue
author_facet Zhang, Ziyan
Wu, Xiaojin
Zhou, Meng
Qi, Jiaqian
Zhang, Rui
Li, Xueqian
Wang, Chang
Ruan, Changgeng
Han, Yue
author_sort Zhang, Ziyan
collection PubMed
description ITP is a common autoimmune bleeding disorder with elusive pathogenesis. Our study was implemented to profile the plasma metabolic alterations of patients diagnosed with ITP, aiming at exploring the potential novel biomarkers and partial mechanism of ITP. The metabolomic analysis of plasma samples was conducted using GC-MS on 98 ITP patients and 30 healthy controls (HCs). Age and gender matched samples were selected to enter the training set or test set respectively. OPLS-DA, t-test with FDR correction and ROC analyses were employed to screen out and evaluate the differential metabolites. Possible pathways were enriched based on metabolomics pathway analysis (MetPA). A total of 85 metabolites were investigated in our study and 17 differential metabolites with diagnostic potential were identified between ITP patients and HCs. MetPA showed that the metabolic disorders of ITP patients were mainly related to phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism and glyoxylate and dicarboxylate metabolism. Additionally, we discriminated 6 differential metabolites and 5 enriched pathways in predicting the resistance to glucocorticoids in chronic ITP patients. The distinct metabolites discovered in our study could become novel biomarkers for the auxiliary diagnosis and prognosis prediction of ITP. Besides, the dysregulated pathways might contribute to the development of ITP.
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spelling pubmed-91709602022-06-08 Plasma Metabolomics Identifies the Dysregulated Metabolic Profile of Primary Immune Thrombocytopenia (ITP) Based on GC-MS Zhang, Ziyan Wu, Xiaojin Zhou, Meng Qi, Jiaqian Zhang, Rui Li, Xueqian Wang, Chang Ruan, Changgeng Han, Yue Front Pharmacol Pharmacology ITP is a common autoimmune bleeding disorder with elusive pathogenesis. Our study was implemented to profile the plasma metabolic alterations of patients diagnosed with ITP, aiming at exploring the potential novel biomarkers and partial mechanism of ITP. The metabolomic analysis of plasma samples was conducted using GC-MS on 98 ITP patients and 30 healthy controls (HCs). Age and gender matched samples were selected to enter the training set or test set respectively. OPLS-DA, t-test with FDR correction and ROC analyses were employed to screen out and evaluate the differential metabolites. Possible pathways were enriched based on metabolomics pathway analysis (MetPA). A total of 85 metabolites were investigated in our study and 17 differential metabolites with diagnostic potential were identified between ITP patients and HCs. MetPA showed that the metabolic disorders of ITP patients were mainly related to phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism and glyoxylate and dicarboxylate metabolism. Additionally, we discriminated 6 differential metabolites and 5 enriched pathways in predicting the resistance to glucocorticoids in chronic ITP patients. The distinct metabolites discovered in our study could become novel biomarkers for the auxiliary diagnosis and prognosis prediction of ITP. Besides, the dysregulated pathways might contribute to the development of ITP. Frontiers Media S.A. 2022-05-24 /pmc/articles/PMC9170960/ /pubmed/35685646 http://dx.doi.org/10.3389/fphar.2022.845275 Text en Copyright © 2022 Zhang, Wu, Zhou, Qi, Zhang, Li, Wang, Ruan and Han. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Zhang, Ziyan
Wu, Xiaojin
Zhou, Meng
Qi, Jiaqian
Zhang, Rui
Li, Xueqian
Wang, Chang
Ruan, Changgeng
Han, Yue
Plasma Metabolomics Identifies the Dysregulated Metabolic Profile of Primary Immune Thrombocytopenia (ITP) Based on GC-MS
title Plasma Metabolomics Identifies the Dysregulated Metabolic Profile of Primary Immune Thrombocytopenia (ITP) Based on GC-MS
title_full Plasma Metabolomics Identifies the Dysregulated Metabolic Profile of Primary Immune Thrombocytopenia (ITP) Based on GC-MS
title_fullStr Plasma Metabolomics Identifies the Dysregulated Metabolic Profile of Primary Immune Thrombocytopenia (ITP) Based on GC-MS
title_full_unstemmed Plasma Metabolomics Identifies the Dysregulated Metabolic Profile of Primary Immune Thrombocytopenia (ITP) Based on GC-MS
title_short Plasma Metabolomics Identifies the Dysregulated Metabolic Profile of Primary Immune Thrombocytopenia (ITP) Based on GC-MS
title_sort plasma metabolomics identifies the dysregulated metabolic profile of primary immune thrombocytopenia (itp) based on gc-ms
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170960/
https://www.ncbi.nlm.nih.gov/pubmed/35685646
http://dx.doi.org/10.3389/fphar.2022.845275
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