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Integrated metabolomics and lipidomics study of patients with atopic dermatitis in response to dupilumab
BACKGROUND: Atopic dermatitis (AD) is one of the most common chronic inflammatory skin diseases. Dupilumab, a monoclonal antibody that targets the interleukin (IL)-4 and IL-13 receptors, has been widely used in AD because of its efficacy. However, metabolic changes occurring in patients with AD in r...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632449/ https://www.ncbi.nlm.nih.gov/pubmed/36341398 http://dx.doi.org/10.3389/fimmu.2022.1002536 |
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author | Zhang, Lishan Wen, Xueyi Hou, Yibo Yang, Yongshi Song, Wei Zeng, Yueping Sun, Jinlyu |
author_facet | Zhang, Lishan Wen, Xueyi Hou, Yibo Yang, Yongshi Song, Wei Zeng, Yueping Sun, Jinlyu |
author_sort | Zhang, Lishan |
collection | PubMed |
description | BACKGROUND: Atopic dermatitis (AD) is one of the most common chronic inflammatory skin diseases. Dupilumab, a monoclonal antibody that targets the interleukin (IL)-4 and IL-13 receptors, has been widely used in AD because of its efficacy. However, metabolic changes occurring in patients with AD in response to dupilumab remains unknown. In this study, we integrated metabolomics and lipidomics analyses with clinical data to explore potential metabolic alterations associated with dupilumab therapeutic efficacy. In addition, we investigated whether the development of treatment side effects was linked to the dysregulation of metabolic pathways. METHODS: A total of 33 patients with AD were included in the current study, with serum samples collected before and after treatment with dupilumab. Comprehensive metabolomic and lipidomic analyses have previously been developed to identify serum metabolites (including lipids) that vary among treatment groups. An orthogonal partial least squares discriminant analysis model was established to screen for differential metabolites and metabolites with variable importance in projection > 1 and p < 0.05 were considered potential metabolic biomarkers. MetaboAnalyst 5.0 was used to identify related metabolic pathways. Patients were further classified into two groups, well responders (n = 19) and poor responders (n = 14), to identify differential metabolites between the two groups. RESULTS: The results revealed significant changes in serum metabolites before and after 16 weeks of dupilumab treatment. Variations in the metabolic profile were more significant in the well-responder group than in the poor-responder group. Pathway enrichment analysis revealed that differential metabolites derived from the well-responder group were mainly involved in glycerophospholipid metabolism, valine, leucine and isoleucine biosynthesis, the citrate cycle, arachidonic acid metabolism, pyrimidine metabolism, and sphingolipid metabolism. CONCLUSION: Serum metabolic profiles of patients with AD varied significantly after treatment with dupilumab. Differential metabolites and their related metabolic pathways may provide clues for understanding the effects of dupilumab on patient metabolism. |
format | Online Article Text |
id | pubmed-9632449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96324492022-11-04 Integrated metabolomics and lipidomics study of patients with atopic dermatitis in response to dupilumab Zhang, Lishan Wen, Xueyi Hou, Yibo Yang, Yongshi Song, Wei Zeng, Yueping Sun, Jinlyu Front Immunol Immunology BACKGROUND: Atopic dermatitis (AD) is one of the most common chronic inflammatory skin diseases. Dupilumab, a monoclonal antibody that targets the interleukin (IL)-4 and IL-13 receptors, has been widely used in AD because of its efficacy. However, metabolic changes occurring in patients with AD in response to dupilumab remains unknown. In this study, we integrated metabolomics and lipidomics analyses with clinical data to explore potential metabolic alterations associated with dupilumab therapeutic efficacy. In addition, we investigated whether the development of treatment side effects was linked to the dysregulation of metabolic pathways. METHODS: A total of 33 patients with AD were included in the current study, with serum samples collected before and after treatment with dupilumab. Comprehensive metabolomic and lipidomic analyses have previously been developed to identify serum metabolites (including lipids) that vary among treatment groups. An orthogonal partial least squares discriminant analysis model was established to screen for differential metabolites and metabolites with variable importance in projection > 1 and p < 0.05 were considered potential metabolic biomarkers. MetaboAnalyst 5.0 was used to identify related metabolic pathways. Patients were further classified into two groups, well responders (n = 19) and poor responders (n = 14), to identify differential metabolites between the two groups. RESULTS: The results revealed significant changes in serum metabolites before and after 16 weeks of dupilumab treatment. Variations in the metabolic profile were more significant in the well-responder group than in the poor-responder group. Pathway enrichment analysis revealed that differential metabolites derived from the well-responder group were mainly involved in glycerophospholipid metabolism, valine, leucine and isoleucine biosynthesis, the citrate cycle, arachidonic acid metabolism, pyrimidine metabolism, and sphingolipid metabolism. CONCLUSION: Serum metabolic profiles of patients with AD varied significantly after treatment with dupilumab. Differential metabolites and their related metabolic pathways may provide clues for understanding the effects of dupilumab on patient metabolism. Frontiers Media S.A. 2022-10-20 /pmc/articles/PMC9632449/ /pubmed/36341398 http://dx.doi.org/10.3389/fimmu.2022.1002536 Text en Copyright © 2022 Zhang, Wen, Hou, Yang, Song, Zeng and Sun 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 | Immunology Zhang, Lishan Wen, Xueyi Hou, Yibo Yang, Yongshi Song, Wei Zeng, Yueping Sun, Jinlyu Integrated metabolomics and lipidomics study of patients with atopic dermatitis in response to dupilumab |
title | Integrated metabolomics and lipidomics study of patients with atopic dermatitis in response to dupilumab |
title_full | Integrated metabolomics and lipidomics study of patients with atopic dermatitis in response to dupilumab |
title_fullStr | Integrated metabolomics and lipidomics study of patients with atopic dermatitis in response to dupilumab |
title_full_unstemmed | Integrated metabolomics and lipidomics study of patients with atopic dermatitis in response to dupilumab |
title_short | Integrated metabolomics and lipidomics study of patients with atopic dermatitis in response to dupilumab |
title_sort | integrated metabolomics and lipidomics study of patients with atopic dermatitis in response to dupilumab |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632449/ https://www.ncbi.nlm.nih.gov/pubmed/36341398 http://dx.doi.org/10.3389/fimmu.2022.1002536 |
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