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Roth-Walter F, Adcock IM, Benito-Villalvilla C, Bianchini R, Bjermer L, Caramori G, Cari L, Chung KF, Diamant Z, Eguiluz-Gracia I, Knol EF, Jesenak M, Levi-Schaffer F, Nocentini G, O'Mahony L, Palomares O, Redegeld F, Sokolowska M, Van Esch BCAM, Stellato C. Metabolic pathways in immune senescence and inflammaging: Novel therapeutic strategy for chronic inflammatory lung diseases. An EAACI position paper from the Task Force for Immunopharmacology. Allergy 2024; 79:1089-1122. [PMID: 38108546 DOI: 10.1111/all.15977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 11/24/2023] [Accepted: 11/27/2023] [Indexed: 12/19/2023]
Abstract
The accumulation of senescent cells drives inflammaging and increases morbidity of chronic inflammatory lung diseases. Immune responses are built upon dynamic changes in cell metabolism that supply energy and substrates for cell proliferation, differentiation, and activation. Metabolic changes imposed by environmental stress and inflammation on immune cells and tissue microenvironment are thus chiefly involved in the pathophysiology of allergic and other immune-driven diseases. Altered cell metabolism is also a hallmark of cell senescence, a condition characterized by loss of proliferative activity in cells that remain metabolically active. Accelerated senescence can be triggered by acute or chronic stress and inflammatory responses. In contrast, replicative senescence occurs as part of the physiological aging process and has protective roles in cancer surveillance and wound healing. Importantly, cell senescence can also change or hamper response to diverse therapeutic treatments. Understanding the metabolic pathways of senescence in immune and structural cells is therefore critical to detect, prevent, or revert detrimental aspects of senescence-related immunopathology, by developing specific diagnostics and targeted therapies. In this paper, we review the main changes and metabolic alterations occurring in senescent immune cells (macrophages, B cells, T cells). Subsequently, we present the metabolic footprints described in translational studies in patients with chronic asthma and chronic obstructive pulmonary disease (COPD), and review the ongoing preclinical studies and clinical trials of therapeutic approaches aiming at targeting metabolic pathways to antagonize pathological senescence. Because this is a recently emerging field in allergy and clinical immunology, a better understanding of the metabolic profile of the complex landscape of cell senescence is needed. The progress achieved so far is already providing opportunities for new therapies, as well as for strategies aimed at disease prevention and supporting healthy aging.
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Affiliation(s)
- F Roth-Walter
- Comparative Medicine, The Interuniversity Messerli Research Institute of the University of Veterinary Medicine Vienna, Medical University Vienna and University Vienna, Vienna, Austria
- Institute of Pathophysiology and Allergy Research, Center of Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - I M Adcock
- Molecular Cell Biology Group, National Heart & Lung Institute, Imperial College London, London, UK
| | - C Benito-Villalvilla
- Department of Biochemistry and Molecular Biology, School of Chemistry, Complutense University of Madrid, Madrid, Spain
| | - R Bianchini
- Comparative Medicine, The Interuniversity Messerli Research Institute of the University of Veterinary Medicine Vienna, Medical University Vienna and University Vienna, Vienna, Austria
| | - L Bjermer
- Department of Respiratory Medicine and Allergology, Lung and Allergy research, Allergy, Asthma and COPD Competence Center, Lund University, Lund, Sweden
| | - G Caramori
- Department of Medicine and Surgery, University of Parma, Pneumologia, Italy
| | - L Cari
- Department of Medicine, Section of Pharmacology, University of Perugia, Perugia, Italy
| | - K F Chung
- Experimental Studies Medicine at National Heart & Lung Institute, Imperial College London & Royal Brompton & Harefield Hospital, London, UK
| | - Z Diamant
- Department of Respiratory Medicine and Allergology, Institute for Clinical Science, Skane University Hospital, Lund, Sweden
- Department of Respiratory Medicine, First Faculty of Medicine, Charles University and Thomayer Hospital, Prague, Czech Republic
- Department of Clinical Pharmacy & Pharmacology, University Groningen, University Medical Center Groningen and QPS-NL, Groningen, The Netherlands
| | - I Eguiluz-Gracia
- Allergy Unit, Hospital Regional Universitario de Málaga-Instituto de Investigación Biomédica de Málaga (IBIMA)-ARADyAL, Málaga, Spain
| | - E F Knol
- Departments of Center of Translational Immunology and Dermatology/Allergology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - M Jesenak
- Department of Paediatrics, Department of Pulmonology and Phthisiology, Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin, University Teaching Hospital, Martin, Slovakia
| | - F Levi-Schaffer
- Institute for Drug Research, Pharmacology Unit, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - G Nocentini
- Department of Medicine, Section of Pharmacology, University of Perugia, Perugia, Italy
| | - L O'Mahony
- APC Microbiome Ireland, University College Cork, Cork, Ireland
- Department of Medicine, University College Cork, Cork, Ireland
- School of Microbiology, University College Cork, Cork, Ireland
| | - O Palomares
- Department of Biochemistry and Molecular Biology, School of Chemistry, Complutense University of Madrid, Madrid, Spain
| | - F Redegeld
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, The Netherlands
| | - M Sokolowska
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zürich, Davos, Switzerland
- Christine Kühne - Center for Allergy Research and Education (CK-CARE), Davos, Switzerland
| | - B C A M Van Esch
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, The Netherlands
| | - C Stellato
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Salerno, Italy
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Carpenter CM, Gillenwater L, Bowler R, Kechris K, Ghosh D. TreeKernel: interpretable kernel machine tests for interactions between -omics and clinical predictors with applications to metabolomics and COPD phenotypes. BMC Bioinformatics 2023; 24:398. [PMID: 37880571 PMCID: PMC10601228 DOI: 10.1186/s12859-023-05459-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 08/30/2023] [Indexed: 10/27/2023] Open
Abstract
BACKGROUND In this paper, we are interested in interactions between a high-dimensional -omics dataset and clinical covariates. The goal is to evaluate the relationship between a phenotype of interest and a high-dimensional omics pathway, where the effect of the omics data depends on subjects' clinical covariates (age, sex, smoking status, etc.). For instance, metabolic pathways can vary greatly between sexes which may also change the relationship between certain metabolic pathways and a clinical phenotype of interest. We propose partitioning the clinical covariate space and performing a kernel association test within those partitions. To illustrate this idea, we focus on hierarchical partitions of the clinical covariate space and kernel tests on metabolic pathways. RESULTS We see that our proposed method outperforms competing methods in most simulation scenarios. It can identify different relationships among clinical groups with higher power in most scenarios while maintaining a proper Type I error rate. The simulation studies also show a robustness to the grouping structure within the clinical space. We also apply the method to the COPDGene study and find several clinically meaningful interactions between metabolic pathways, the clinical space, and lung function. CONCLUSION TreeKernel provides a simple and interpretable process for testing for relationships between high-dimensional omics data and clinical outcomes in the presence of interactions within clinical cohorts. The method is broadly applicable to many studies.
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Affiliation(s)
- Charlie M Carpenter
- Department of Biostatistics and Informatics, University of Colorado Denver, Anschutz Medical Campus, Denver, CO, USA.
| | - Lucas Gillenwater
- Computational Bioscience Program, University of Colorado Denver, Anschutz Medical Campus, Denver, CO, USA
| | - Russell Bowler
- Department of Medicine, National Jewish Health, Denver, USA
- University of Colorado Denver, Anschutz Medical Campus, Denver, CO, USA
| | - Katerina Kechris
- Department of Biostatistics and Informatics, University of Colorado Denver, Anschutz Medical Campus, Denver, CO, USA
| | - Debashis Ghosh
- Department of Biostatistics and Informatics, University of Colorado Denver, Anschutz Medical Campus, Denver, CO, USA
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Gea J, Enríquez-Rodríguez CJ, Agranovich B, Pascual-Guardia S. Update on metabolomic findings in COPD patients. ERJ Open Res 2023; 9:00180-2023. [PMID: 37908399 PMCID: PMC10613990 DOI: 10.1183/23120541.00180-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 08/15/2023] [Indexed: 11/02/2023] Open
Abstract
COPD is a heterogeneous disorder that shows diverse clinical presentations (phenotypes and "treatable traits") and biological mechanisms (endotypes). This heterogeneity implies that to carry out a more personalised clinical management, it is necessary to classify each patient accurately. With this objective, and in addition to clinical features, it would be very useful to have well-defined biological markers. The search for these markers may either be done through more conventional laboratory and hypothesis-driven techniques or relatively blind high-throughput methods, with the omics approaches being suitable for the latter. Metabolomics is the science that studies biological processes through their metabolites, using various techniques such as gas and liquid chromatography, mass spectrometry and nuclear magnetic resonance. The most relevant metabolomics studies carried out in COPD highlight the importance of metabolites involved in pathways directly related to proteins (peptides and amino acids), nucleic acids (nitrogenous bases and nucleosides), and lipids and their derivatives (especially fatty acids, phospholipids, ceramides and eicosanoids). These findings indicate the relevance of inflammatory-immune processes, oxidative stress, increased catabolism and alterations in the energy production. However, some specific findings have also been reported for different COPD phenotypes, demographic characteristics of the patients, disease progression profiles, exacerbations, systemic manifestations and even diverse treatments. Unfortunately, the studies carried out to date have some limitations and shortcomings and there is still a need to define clear metabolomic profiles with clinical utility for the management of COPD and its implicit heterogeneity.
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Affiliation(s)
- Joaquim Gea
- Respiratory Medicine Department, Hospital del Mar – IMIM, Barcelona, Spain
- MELIS Department, Universitat Pompeu Fabra, Barcelona, Spain
- CIBERES, ISCIII, Barcelona, Spain
| | - César J. Enríquez-Rodríguez
- Respiratory Medicine Department, Hospital del Mar – IMIM, Barcelona, Spain
- MELIS Department, Universitat Pompeu Fabra, Barcelona, Spain
| | - Bella Agranovich
- Rappaport Institute for Research in the Medical Sciences, Technion University, Haifa, Israel
| | - Sergi Pascual-Guardia
- Respiratory Medicine Department, Hospital del Mar – IMIM, Barcelona, Spain
- MELIS Department, Universitat Pompeu Fabra, Barcelona, Spain
- CIBERES, ISCIII, Barcelona, Spain
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Gea J, Enríquez-Rodríguez CJ, Pascual-Guardia S. Metabolomics in COPD. Arch Bronconeumol 2023; 59:311-321. [PMID: 36717301 DOI: 10.1016/j.arbres.2022.12.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 11/28/2022] [Accepted: 12/07/2022] [Indexed: 01/20/2023]
Abstract
The clinical presentation of chronic obstructive pulmonary disease (COPD) is highly heterogeneous. Attempts have been made to define subpopulations of patients who share clinical characteristics (phenotypes and treatable traits) and/or biological characteristics (endotypes), in order to offer more personalized care. Assigning a patient to any of these groups requires the identification of both clinical and biological markers. Ideally, biological markers should be easily obtained from blood or urine, but these may lack specificity. Biomarkers can be identified initially using conventional or more sophisticated techniques. However, the more sophisticated techniques should be simplified in the future if they are to have clinical utility. The -omics approach offers a methodology that can assist in the investigation and identification of useful markers in both targeted and blind searches. Specifically, metabolomics is the science that studies biological processes involving metabolites, which can be intermediate or final products. The metabolites associated with COPD and their specific phenotypic and endotypic features have been studied using various techniques. Several compounds of particular interest have emerged, namely, several types of lipids and derivatives (mainly phospholipids, but also ceramides, fatty acids and eicosanoids), amino acids, coagulation factors, and nucleic acid components, likely to be involved in their function, protein catabolism, energy production, oxidative stress, immune-inflammatory response and coagulation disorders. However, clear metabolomic profiles of the disease and its various manifestations that may already be applicable in clinical practice still need to be defined.
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Affiliation(s)
- Joaquim Gea
- Servicio de Neumología, Hospital del Mar - IMIM, Barcelona, Spain; Dpt. MELIS, Universitat Pompeu Fabra, Barcelona, Spain; CIBERES, ISCIII, Barcelona, Spain.
| | - César J Enríquez-Rodríguez
- Servicio de Neumología, Hospital del Mar - IMIM, Barcelona, Spain; Dpt. MELIS, Universitat Pompeu Fabra, Barcelona, Spain
| | - Sergi Pascual-Guardia
- Servicio de Neumología, Hospital del Mar - IMIM, Barcelona, Spain; Dpt. MELIS, Universitat Pompeu Fabra, Barcelona, Spain; CIBERES, ISCIII, Barcelona, Spain
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