Investigating Metabolic Phenotypes for Sarcoidosis Diagnosis and Exploring Immunometabolic Profiles to Unravel Disease Mechanisms
<b>Background:</b> Sarcoidosis is a granulomatous disease affecting multiple organ systems and poses a diagnostic challenge due to its diverse clinical manifestations and absence of specific diagnostic tests. Currently, blood biomarkers such as ACE, sIL-2R, CD163, CCL18, serum amyloid A,...
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2024-12-01
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| author | Mohammad Mehdi Banoei Abdulrazagh Hashemi Shahraki Kayo Santos Gregory Holt Mehdi Mirsaeidi |
| author_facet | Mohammad Mehdi Banoei Abdulrazagh Hashemi Shahraki Kayo Santos Gregory Holt Mehdi Mirsaeidi |
| author_sort | Mohammad Mehdi Banoei |
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| description | <b>Background:</b> Sarcoidosis is a granulomatous disease affecting multiple organ systems and poses a diagnostic challenge due to its diverse clinical manifestations and absence of specific diagnostic tests. Currently, blood biomarkers such as ACE, sIL-2R, CD163, CCL18, serum amyloid A, and CRP are employed to aid in the diagnosis and monitoring of sarcoidosis. Metabolomics holds promise for identifying highly sensitive and specific biomarkers. This study aimed to leverage metabolomics for the early diagnosis of sarcoidosis and to identify metabolic phenotypes associated with disease progression. <b>Methods:</b> Serum samples from patients with sarcoidosis (<i>n</i> = 40, including stage 1 to stage 4), were analyzed for metabolite levels by semi-untargeted liquid chromatography–mass spectrometry (LC-MS). Metabolomics data from patients with sarcoidosis were compared with those from patients with COVID-19 and healthy controls to identify distinguishing metabolic biosignatures. Univariate and multivariate analyses were applied to obtain diagnostic and prognostic metabolic phenotypes. <b>Results:</b> Significant changes in metabolic profiles distinguished stage 1 sarcoidosis from healthy controls, with potential biomarkers including azelaic acid, itaconate, and glutarate. Distinct metabolic phenotypes were observed across the stages of sarcoidosis, with stage 2 exhibiting greater heterogeneity compared with stages 1, 3, and 4. <b>Conclusions:</b> we explored immunometabolic phenotypes by comparing patients with sarcoidosis with patients with COVID-19 and healthy controls, revealing potential metabolic pathways associated with acute and chronic inflammation across the stages of sarcoidosis. |
| format | Article |
| id | doaj-art-c960adec3720467cb8683453ebd43b1e |
| institution | Kabale University |
| issn | 2218-1989 |
| language | English |
| publishDate | 2024-12-01 |
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| series | Metabolites |
| spelling | doaj-art-c960adec3720467cb8683453ebd43b1e2025-01-24T13:41:08ZengMDPI AGMetabolites2218-19892024-12-01151710.3390/metabo15010007Investigating Metabolic Phenotypes for Sarcoidosis Diagnosis and Exploring Immunometabolic Profiles to Unravel Disease MechanismsMohammad Mehdi Banoei0Abdulrazagh Hashemi Shahraki1Kayo Santos2Gregory Holt3Mehdi Mirsaeidi4Department of Critical Care Medicine, University of Calgary, Calgary, AB T2N 4Z6, CanadaDivision of Pulmonary, Critical Care, and Sleep, College of Medicine—Jacksonville, University of Florida, Jacksonville, FL 32209, USADivision of Pulmonary and Critical Care, University of Miami, Miami, FL 33146, USADivision of Pulmonary and Critical Care, University of Miami, Miami, FL 33146, USADivision of Pulmonary, Critical Care, and Sleep, College of Medicine—Jacksonville, University of Florida, Jacksonville, FL 32209, USA<b>Background:</b> Sarcoidosis is a granulomatous disease affecting multiple organ systems and poses a diagnostic challenge due to its diverse clinical manifestations and absence of specific diagnostic tests. Currently, blood biomarkers such as ACE, sIL-2R, CD163, CCL18, serum amyloid A, and CRP are employed to aid in the diagnosis and monitoring of sarcoidosis. Metabolomics holds promise for identifying highly sensitive and specific biomarkers. This study aimed to leverage metabolomics for the early diagnosis of sarcoidosis and to identify metabolic phenotypes associated with disease progression. <b>Methods:</b> Serum samples from patients with sarcoidosis (<i>n</i> = 40, including stage 1 to stage 4), were analyzed for metabolite levels by semi-untargeted liquid chromatography–mass spectrometry (LC-MS). Metabolomics data from patients with sarcoidosis were compared with those from patients with COVID-19 and healthy controls to identify distinguishing metabolic biosignatures. Univariate and multivariate analyses were applied to obtain diagnostic and prognostic metabolic phenotypes. <b>Results:</b> Significant changes in metabolic profiles distinguished stage 1 sarcoidosis from healthy controls, with potential biomarkers including azelaic acid, itaconate, and glutarate. Distinct metabolic phenotypes were observed across the stages of sarcoidosis, with stage 2 exhibiting greater heterogeneity compared with stages 1, 3, and 4. <b>Conclusions:</b> we explored immunometabolic phenotypes by comparing patients with sarcoidosis with patients with COVID-19 and healthy controls, revealing potential metabolic pathways associated with acute and chronic inflammation across the stages of sarcoidosis.https://www.mdpi.com/2218-1989/15/1/7metabolic phenotypesarcoidosisearly diagnosisimmunometabolic |
| spellingShingle | Mohammad Mehdi Banoei Abdulrazagh Hashemi Shahraki Kayo Santos Gregory Holt Mehdi Mirsaeidi Investigating Metabolic Phenotypes for Sarcoidosis Diagnosis and Exploring Immunometabolic Profiles to Unravel Disease Mechanisms Metabolites metabolic phenotype sarcoidosis early diagnosis immunometabolic |
| title | Investigating Metabolic Phenotypes for Sarcoidosis Diagnosis and Exploring Immunometabolic Profiles to Unravel Disease Mechanisms |
| title_full | Investigating Metabolic Phenotypes for Sarcoidosis Diagnosis and Exploring Immunometabolic Profiles to Unravel Disease Mechanisms |
| title_fullStr | Investigating Metabolic Phenotypes for Sarcoidosis Diagnosis and Exploring Immunometabolic Profiles to Unravel Disease Mechanisms |
| title_full_unstemmed | Investigating Metabolic Phenotypes for Sarcoidosis Diagnosis and Exploring Immunometabolic Profiles to Unravel Disease Mechanisms |
| title_short | Investigating Metabolic Phenotypes for Sarcoidosis Diagnosis and Exploring Immunometabolic Profiles to Unravel Disease Mechanisms |
| title_sort | investigating metabolic phenotypes for sarcoidosis diagnosis and exploring immunometabolic profiles to unravel disease mechanisms |
| topic | metabolic phenotype sarcoidosis early diagnosis immunometabolic |
| url | https://www.mdpi.com/2218-1989/15/1/7 |
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