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Sarandi E, Krueger-Krasagakis S, Tsoukalas D, Sidiropoulou P, Evangelou G, Sifaki M, Rudofsky G, Drakoulis N, Tsatsakis A. Psoriasis immunometabolism: progress on metabolic biomarkers and targeted therapy. Front Mol Biosci 2023; 10:1201912. [PMID: 37405259 PMCID: PMC10317015 DOI: 10.3389/fmolb.2023.1201912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 06/05/2023] [Indexed: 07/06/2023] Open
Abstract
Psoriasis is a common inflammatory disease that affects mainly the skin. However, the moderate to severe forms have been associated with several comorbidities, such as psoriatic arthritis, Crohn's disease, metabolic syndrome and cardiovascular disease. Keratinocytes and T helper cells are the dominant cell types involved in psoriasis development via a complex crosstalk between epithelial cells, peripheral immune cells and immune cells residing in the skin. Immunometabolism has emerged as a potent mechanism elucidating the aetiopathogenesis of psoriasis, offering novel specific targets to diagnose and treat psoriasis early. The present article discusses the metabolic reprogramming of activated T cells, tissue-resident memory T cells and keratinocytes in psoriatic skin, presenting associated metabolic biomarkers and therapeutic targets. In psoriatic phenotype, keratinocytes and activated T cells are glycolysis dependent and are characterized by disruptions in the TCA cycle, the amino acid metabolism and the fatty acid metabolism. Upregulation of the mammalian target of rapamycin (mTOR) results in hyperproliferation and cytokine secretion by immune cells and keratinocytes. Metabolic reprogramming through the inhibition of affected metabolic pathways and the dietary restoration of metabolic imbalances may thus present a potent therapeutic opportunity to achieve long-term management of psoriasis and improved quality of life with minimum adverse effects.
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Affiliation(s)
- Evangelia Sarandi
- Laboratory of Toxicology and Forensic Sciences, Medical School, University of Crete, Heraklion, Greece
- Metabolomic Medicine, Health Clinics for Autoimmune and Chronic Diseases, Athens, Greece
| | | | - Dimitris Tsoukalas
- Metabolomic Medicine, Health Clinics for Autoimmune and Chronic Diseases, Athens, Greece
- European Institute of Molecular Medicine, Rome, Italy
| | - Polytimi Sidiropoulou
- 1st Department of Dermatology-Venereology, Faculty of Medicine, “A. Sygros” Hospital, National and Kapodistrian University of Athens, Athens, Greece
- Research Group of Clinical Pharmacology and Pharmacogenomics, Faculty of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Athens, Greece
| | - George Evangelou
- Dermatology Department, University Hospital of Heraklion, Heraklion, Greece
| | - Maria Sifaki
- Research Group of Clinical Pharmacology and Pharmacogenomics, Faculty of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Athens, Greece
| | - Gottfried Rudofsky
- Clinic of Endocrinology and Metabolic Disorders, Cantonal Hospital Olten, Olten, Switzerland
| | - Nikolaos Drakoulis
- Research Group of Clinical Pharmacology and Pharmacogenomics, Faculty of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Athens, Greece
| | - Aristidis Tsatsakis
- Laboratory of Toxicology and Forensic Sciences, Medical School, University of Crete, Heraklion, Greece
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Lai X, Zhang Z, Zhang Z, Liu S, Bai C, Chen Z, Qadri QR, Fang Y, Wang Z, Pan Y, Wang Q. Integrated microbiome-metabolome-genome axis data of Laiwu and Lulai pigs. Sci Data 2023; 10:280. [PMID: 37179393 PMCID: PMC10183000 DOI: 10.1038/s41597-023-02191-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 04/27/2023] [Indexed: 05/15/2023] Open
Abstract
Excessive fat deposition can trigger metabolic diseases, and it is crucial to identify factors that can break the link between fat deposition and metabolic diseases. Healthy obese Laiwu pigs (LW) are high in fat content but resistant to metabolic diseases. In this study, we compared the fecal microbiome, fecal and blood metabolome, and genome of LW and Lulai pigs (LU) to identify factors that can block the link between fat deposition and metabolic diseases. Our results show significant differences in Spirochetes and Treponema, which are involved in carbohydrate metabolism, between LW and LU. The fecal and blood metabolome composition was similar, and some anti-metabolic disease components of blood metabolites were different between the two breeds of pigs. The predicted differential RNA is mainly enriched in lipid metabolism and glucose metabolism, which is consistent with the functions of differential microbiota and metabolites. The down-regulated gene RGP1 is strongly negatively correlated with Treponema. Our omics data would provide valuable resources for further scientific research on healthy obesity in both human and porcine.
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Affiliation(s)
- Xueshuang Lai
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, PR China
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, 310030, PR China
| | - Zhenyang Zhang
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, 310030, PR China
| | - Zhe Zhang
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, 310030, PR China
| | - Shengqiang Liu
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, 310030, PR China
- Hainan institute, Zhejiang University, Sanya, 310014, PR China
| | - Chunyan Bai
- Department of Animal Science, College of Animal Sciences, Jilin University, Changchui, 130015, PR China
| | - Zitao Chen
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, 310030, PR China
| | - Qamar Raza Qadri
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, PR China
| | - Yifei Fang
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, PR China
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, 310030, PR China
| | - Zhen Wang
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, 310030, PR China
| | - Yuchun Pan
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, 310030, PR China.
- Hainan institute, Zhejiang University, Sanya, 310014, PR China.
| | - Qishan Wang
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, 310030, PR China.
- Hainan institute, Zhejiang University, Sanya, 310014, PR China.
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Metabolic Phenotypes in Asthmatic Adults: Relationship with Inflammatory and Clinical Phenotypes and Prognostic Implications. Metabolites 2021; 11:metabo11080534. [PMID: 34436475 PMCID: PMC8400680 DOI: 10.3390/metabo11080534] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 08/03/2021] [Accepted: 08/05/2021] [Indexed: 12/26/2022] Open
Abstract
Bronchial asthma is a chronic disease that affects individuals of all ages. It has a high prevalence and is associated with high morbidity and considerable levels of mortality. However, asthma is not a single disease, and multiple subtypes or phenotypes (clinical, inflammatory or combinations thereof) can be detected, namely in aggregated clusters. Most studies have characterised asthma phenotypes and clusters of phenotypes using mainly clinical and inflammatory parameters. These studies are important because they may have clinical and prognostic implications and may also help to tailor personalised treatment approaches. In addition, various metabolomics studies have helped to further define the metabolic features of asthma, using electronic noses or targeted and untargeted approaches. Besides discriminating between asthma and a healthy state, metabolomics can detect the metabolic signatures associated with some asthma subtypes, namely eosinophilic and non-eosinophilic phenotypes or the obese asthma phenotype, and this may prove very useful in point-of-care application. Furthermore, metabolomics also discriminates between asthma and other “phenotypes” of chronic obstructive airway diseases, such as chronic obstructive pulmonary disease (COPD) or Asthma–COPD Overlap (ACO). However, there are still various aspects that need to be more thoroughly investigated in the context of asthma phenotypes in adequately designed, homogeneous, multicentre studies, using adequate tools and integrating metabolomics into a multiple-level approach.
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Application of Metabolomics in Pediatric Asthma: Prediction, Diagnosis and Personalized Treatment. Metabolites 2021; 11:metabo11040251. [PMID: 33919626 PMCID: PMC8072856 DOI: 10.3390/metabo11040251] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 04/07/2021] [Accepted: 04/15/2021] [Indexed: 12/16/2022] Open
Abstract
Asthma in children remains a significant public health challenge affecting 5–20% of children in Europe and is associated with increased morbidity and societal healthcare costs. The high variation in asthma incidence among countries may be attributed to differences in genetic susceptibility and environmental factors. This respiratory disorder is described as a heterogeneous syndrome of multiple clinical manifestations (phenotypes) with varying degrees of severity and airway hyper-responsiveness, which is based on patient symptoms, lung function and response to pharmacotherapy. However, an accurate diagnosis is often difficult due to diversities in clinical presentation. Therefore, identifying early diagnostic biomarkers and improving the monitoring of airway dysfunction and inflammatory through non-invasive methods are key goals in successful pediatric asthma management. Given that asthma is caused by the interaction between genes and environmental factors, an emerging approach, metabolomics—the systematic analysis of small molecules—can provide more insight into asthma pathophysiological mechanisms, enable the identification of early biomarkers and targeted personalized therapies, thus reducing disease burden and societal cost. The purpose of this review is to present evidence on the utility of metabolomics in pediatric asthma through the analysis of intermediate metabolites of biochemical pathways that involve carbohydrates, amino acids, lipids, organic acids and nucleotides and discuss their potential application in clinical practice. Also, current challenges on the integration of metabolomics in pediatric asthma management and needed next steps are critically discussed.
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Tsoukalas D, Sarandi E. Micronutrient deficiencies in patients with COVID-19: how metabolomics can contribute to their prevention and replenishment. BMJ Nutr Prev Health 2020; 3:419-420. [PMID: 33521556 PMCID: PMC7841838 DOI: 10.1136/bmjnph-2020-000169] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 10/01/2020] [Accepted: 10/13/2020] [Indexed: 12/14/2022] Open
Affiliation(s)
- Dimitris Tsoukalas
- European Institute of Nutritional Medicine, Rome, Italy
- Metabolomic Medicine, Athens, Greece
| | - Evangelia Sarandi
- Metabolomic Medicine, Athens, Greece
- Laboratory of Toxicology and Forensic Sciences, Medical School of the University of Crete, Crete, Greece
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