The association between the metabolic profile and inflammatory cytokines in psoriasis is poorly understood. We analyzed the metabolic and cytokine/chemokine profiles in serum and skin from patients with new-onset psoriasis and healthy subjects (n = 7/group) by HR-MAS NMR and Bio-Plex immunoassay. Immuno-metabolic correlation matrix was analyzed in skin and serum to identify a potential immune-metabolic signature. Metabolomics analysis showed a significant increase in ascorbate and a decrease in scyllo-inositol, and a trend towards an increase in eight other metabolites in psoriatic skin. In serum, there was a significant increase of dimethylglycine and isoleucine. In parallel, psoriatic skin exhibited an increase of early inflammatory cytokines (IL-6, IL-8, TNF-α, IL-1β) and correlation analysis highlighted some major clusters of immune-metabolic correlations. A cluster comprising scyllo-inositol and lysine showed correlations with T-cell cytokines; a cluster comprising serine and taurine showed a negative correlation with early inflammatory cytokines (IL-6, G-CSF, CCL3). A strong positive correlation was enlightened between glutathione and inflammatory cytokines/angiogenesis promoters of psoriasis. The integration of metabolic and immune data indicated a molecular signature constituted by IL-6, IL1-ra, DMG, CCL4, Ile, Gly and IL-8, which could discriminate patients and healthy subjects and could represent a candidate tool in the diagnosis of new-onset psoriasis.

Integrated metabolomic analysis and cytokine profiling define clusters of immuno-metabolic correlation in new-onset psoriasis / Tarentini, Elisabetta; Odorici, Giulia; Righi, Valeria; Paganelli, Alessia; Giacomelli, Luca; Mirisola, Valentina; Mucci, Adele; Benassi, Luisa; D’Aversa, Elisabetta; Lasagni, Claudia; Kaleci, Shaniko; Reali, Eva; Magnoni, Cristina. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 11:1(2021), pp. 1-12. [10.1038/s41598-021-89925-7]

Integrated metabolomic analysis and cytokine profiling define clusters of immuno-metabolic correlation in new-onset psoriasis

Tarentini, Elisabetta;Odorici, Giulia;Paganelli, Alessia;Giacomelli, Luca;Mucci, Adele;Benassi, Luisa;Kaleci, Shaniko;Magnoni, Cristina
2021

Abstract

The association between the metabolic profile and inflammatory cytokines in psoriasis is poorly understood. We analyzed the metabolic and cytokine/chemokine profiles in serum and skin from patients with new-onset psoriasis and healthy subjects (n = 7/group) by HR-MAS NMR and Bio-Plex immunoassay. Immuno-metabolic correlation matrix was analyzed in skin and serum to identify a potential immune-metabolic signature. Metabolomics analysis showed a significant increase in ascorbate and a decrease in scyllo-inositol, and a trend towards an increase in eight other metabolites in psoriatic skin. In serum, there was a significant increase of dimethylglycine and isoleucine. In parallel, psoriatic skin exhibited an increase of early inflammatory cytokines (IL-6, IL-8, TNF-α, IL-1β) and correlation analysis highlighted some major clusters of immune-metabolic correlations. A cluster comprising scyllo-inositol and lysine showed correlations with T-cell cytokines; a cluster comprising serine and taurine showed a negative correlation with early inflammatory cytokines (IL-6, G-CSF, CCL3). A strong positive correlation was enlightened between glutathione and inflammatory cytokines/angiogenesis promoters of psoriasis. The integration of metabolic and immune data indicated a molecular signature constituted by IL-6, IL1-ra, DMG, CCL4, Ile, Gly and IL-8, which could discriminate patients and healthy subjects and could represent a candidate tool in the diagnosis of new-onset psoriasis.
2021
11
1
1
12
Integrated metabolomic analysis and cytokine profiling define clusters of immuno-metabolic correlation in new-onset psoriasis / Tarentini, Elisabetta; Odorici, Giulia; Righi, Valeria; Paganelli, Alessia; Giacomelli, Luca; Mirisola, Valentina; Mucci, Adele; Benassi, Luisa; D’Aversa, Elisabetta; Lasagni, Claudia; Kaleci, Shaniko; Reali, Eva; Magnoni, Cristina. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 11:1(2021), pp. 1-12. [10.1038/s41598-021-89925-7]
Tarentini, Elisabetta; Odorici, Giulia; Righi, Valeria; Paganelli, Alessia; Giacomelli, Luca; Mirisola, Valentina; Mucci, Adele; Benassi, Luisa; D’Ave...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1247477
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