Toward Personalized Interventions for Psoriasis Vulgaris: Molecular Subtyping of Patients by Using a Metabolomics Approach
Aim: Psoriasis vulgaris (PV) is a complicated autoimmune disease characterized by erythema of the skin and a lack of available cures. PV is associated with an increased risk of metabolic syndrome and cardiovascular disease, which are both mediated by the interaction between systemic inflammation and...
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Frontiers Media S.A.
2022-07-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fmolb.2022.945917/full |
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author | Dan Dai Chunyan He Shuo Wang Mei Wang Mei Wang Na Guo Ping Song |
author_facet | Dan Dai Chunyan He Shuo Wang Mei Wang Mei Wang Na Guo Ping Song |
author_sort | Dan Dai |
collection | DOAJ |
description | Aim: Psoriasis vulgaris (PV) is a complicated autoimmune disease characterized by erythema of the skin and a lack of available cures. PV is associated with an increased risk of metabolic syndrome and cardiovascular disease, which are both mediated by the interaction between systemic inflammation and aberrant metabolism. However, whether there are differences in the lipid metabolism between different levels of severity of PV remains elusive. Hence, we explored the molecular evidence for the subtyping of PV according to alterations in lipid metabolism using serum metabolomics, with the idea that such subtyping may contribute to the development of personalized treatment.Methods: Patients with PV were recruited at a dermatology clinic and classified based on the presence of metabolic comorbidities and their Psoriasis Area and Severity Index (PASI) from January 2019 to November 2019. Age- and sex-matched healthy controls were recruited from the preventive health department of the same institution for comparison. We performed targeted metabolomic analyses of serum samples and determined the correlation between metabolite composition and PASI scores.Results: A total of 123 participants, 88 patients with PV and 35 healthy subjects, were enrolled in this study. The patients with PV were assigned to a “PVM group” (PV with metabolic comorbidities) or a “PV group” (PV without metabolic comorbidities) and further subdivided into a “mild PV” (MP, PASI <10) and a “severe PV” (SP, PASI ≥10) groups. Compared with the matched healthy controls, levels of 27 metabolites in the MP subgroup and 28 metabolites in the SP subgroup were found to be altered. Among these, SM (d16:0/17:1) and SM (d19:1/20:0) were positively correlated with the PASI in the MP subgroup, while Cer (d18:1/18:0), PC (18:0/22:4), and PC (20:0/22:4) were positively correlated with the PASI in the SP subgroup. In the PVM group, levels of 17 metabolites were increased, especially ceramides and phosphatidylcholine, compared with matched patients from the PV group. In addition, the correlation analysis indicated that Cer (d18:1/18:0) and SM (d16:1/16:1) were not only correlated with PASI but also has strongly positive correlations with biochemical indicators.Conclusion: The results of this study indicate that patients with PV at different severity levels have distinct metabolic profiles, and that metabolic disorders complicate the disease development. These findings will help us understand the pathological progression and establish strategies for the precision treatment of PV. |
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language | English |
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publishDate | 2022-07-01 |
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spelling | doaj.art-9dfa81ce783e495abcb37ebe2194c9ad2022-12-22T03:00:24ZengFrontiers Media S.A.Frontiers in Molecular Biosciences2296-889X2022-07-01910.3389/fmolb.2022.945917945917Toward Personalized Interventions for Psoriasis Vulgaris: Molecular Subtyping of Patients by Using a Metabolomics ApproachDan Dai0Chunyan He1Shuo Wang2Mei Wang3Mei Wang4Na Guo5Ping Song6Department of Dermatology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, ChinaDepartment of Dermatology, Hubei Provincial Hospital of TCM, Wuhan, ChinaDepartment of Oncology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, ChinaLeiden University-European Center for Chinese Medicine and Natural Compounds, Institute of Biology Leiden, Leiden University, Leiden, NetherlandsSU BioMedicine, BioPartner Center 3, Leiden, NetherlandsExperimental Research Center, China Academy of Chinese Medical Sciences, Beijing, ChinaDepartment of Dermatology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, ChinaAim: Psoriasis vulgaris (PV) is a complicated autoimmune disease characterized by erythema of the skin and a lack of available cures. PV is associated with an increased risk of metabolic syndrome and cardiovascular disease, which are both mediated by the interaction between systemic inflammation and aberrant metabolism. However, whether there are differences in the lipid metabolism between different levels of severity of PV remains elusive. Hence, we explored the molecular evidence for the subtyping of PV according to alterations in lipid metabolism using serum metabolomics, with the idea that such subtyping may contribute to the development of personalized treatment.Methods: Patients with PV were recruited at a dermatology clinic and classified based on the presence of metabolic comorbidities and their Psoriasis Area and Severity Index (PASI) from January 2019 to November 2019. Age- and sex-matched healthy controls were recruited from the preventive health department of the same institution for comparison. We performed targeted metabolomic analyses of serum samples and determined the correlation between metabolite composition and PASI scores.Results: A total of 123 participants, 88 patients with PV and 35 healthy subjects, were enrolled in this study. The patients with PV were assigned to a “PVM group” (PV with metabolic comorbidities) or a “PV group” (PV without metabolic comorbidities) and further subdivided into a “mild PV” (MP, PASI <10) and a “severe PV” (SP, PASI ≥10) groups. Compared with the matched healthy controls, levels of 27 metabolites in the MP subgroup and 28 metabolites in the SP subgroup were found to be altered. Among these, SM (d16:0/17:1) and SM (d19:1/20:0) were positively correlated with the PASI in the MP subgroup, while Cer (d18:1/18:0), PC (18:0/22:4), and PC (20:0/22:4) were positively correlated with the PASI in the SP subgroup. In the PVM group, levels of 17 metabolites were increased, especially ceramides and phosphatidylcholine, compared with matched patients from the PV group. In addition, the correlation analysis indicated that Cer (d18:1/18:0) and SM (d16:1/16:1) were not only correlated with PASI but also has strongly positive correlations with biochemical indicators.Conclusion: The results of this study indicate that patients with PV at different severity levels have distinct metabolic profiles, and that metabolic disorders complicate the disease development. These findings will help us understand the pathological progression and establish strategies for the precision treatment of PV.https://www.frontiersin.org/articles/10.3389/fmolb.2022.945917/fullpsoriasis vulgarismetabolomicslipid metabolitesseverity biomarkersmetabolic diseasesmolecular subtyping |
spellingShingle | Dan Dai Chunyan He Shuo Wang Mei Wang Mei Wang Na Guo Ping Song Toward Personalized Interventions for Psoriasis Vulgaris: Molecular Subtyping of Patients by Using a Metabolomics Approach Frontiers in Molecular Biosciences psoriasis vulgaris metabolomics lipid metabolites severity biomarkers metabolic diseases molecular subtyping |
title | Toward Personalized Interventions for Psoriasis Vulgaris: Molecular Subtyping of Patients by Using a Metabolomics Approach |
title_full | Toward Personalized Interventions for Psoriasis Vulgaris: Molecular Subtyping of Patients by Using a Metabolomics Approach |
title_fullStr | Toward Personalized Interventions for Psoriasis Vulgaris: Molecular Subtyping of Patients by Using a Metabolomics Approach |
title_full_unstemmed | Toward Personalized Interventions for Psoriasis Vulgaris: Molecular Subtyping of Patients by Using a Metabolomics Approach |
title_short | Toward Personalized Interventions for Psoriasis Vulgaris: Molecular Subtyping of Patients by Using a Metabolomics Approach |
title_sort | toward personalized interventions for psoriasis vulgaris molecular subtyping of patients by using a metabolomics approach |
topic | psoriasis vulgaris metabolomics lipid metabolites severity biomarkers metabolic diseases molecular subtyping |
url | https://www.frontiersin.org/articles/10.3389/fmolb.2022.945917/full |
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