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Martin-Gutierrez L, Waddington KE, Maggio A, Coelewij L, Oppong AE, Yang N, Adriani M, Nytrova P, Farrell R, Pineda-Torra I, Jury EC. Dysregulated lipid metabolism networks modulate T-cell function in people with relapsing-remitting multiple sclerosis. Clin Exp Immunol 2024; 217:204-218. [PMID: 38625017 PMCID: PMC11239565 DOI: 10.1093/cei/uxae032] [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: 10/05/2023] [Revised: 03/06/2024] [Accepted: 04/15/2024] [Indexed: 04/17/2024] Open
Abstract
Altered cholesterol, oxysterol, sphingolipid, and fatty acid concentrations are reported in blood, cerebrospinal fluid, and brain tissue of people with relapsing-remitting multiple sclerosis (RRMS) and are linked to disease progression and treatment responses. CD4 + T cells are pathogenic in RRMS, and defective T-cell function could be mediated in part by liver X receptors (LXRs)-nuclear receptors that regulate lipid homeostasis and immunity. RNA-sequencing and pathway analysis identified that genes within the 'lipid metabolism' and 'signalling of nuclear receptors' pathways were dysregulated in CD4 + T cells isolated from RRMS patients compared with healthy donors. While LXRB and genes associated with cholesterol metabolism were upregulated, other T-cell LXR-target genes, including genes involved in cellular lipid uptake (inducible degrader of the LDL receptor, IDOL), and the rate-limiting enzyme for glycosphingolipid biosynthesis (UDP-glucosylceramide synthase, UGCG) were downregulated in T cells from patients with RRMS compared to healthy donors. Correspondingly, plasma membrane glycosphingolipids were reduced, and cholesterol levels increased in RRMS CD4 + T cells, an effect partially recapitulated in healthy T cells by in vitro culture with T-cell receptor stimulation in the presence of serum from RRMS patients. Notably, stimulation with LXR-agonist GW3965 normalized membrane cholesterol levels, and reduced proliferation and IL17 cytokine production in RRMS CD4 + T-cells. Thus, LXR-mediated lipid metabolism pathways were dysregulated in T cells from patients with RRMS and could contribute to RRMS pathogenesis. Therapies that modify lipid metabolism could help restore immune cell function.
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Affiliation(s)
| | - Kirsty E Waddington
- Centre for Rheumatology, Division of Medicine, University College London, UK
| | - Annalisa Maggio
- Centre for Rheumatology, Division of Medicine, University College London, UK
| | - Leda Coelewij
- Centre for Rheumatology, Division of Medicine, University College London, UK
| | - Alexandra E Oppong
- Centre for Rheumatology, Division of Medicine, University College London, UK
| | - Nina Yang
- Centre for Rheumatology, Division of Medicine, University College London, UK
| | - Marsilio Adriani
- Centre for Rheumatology, Division of Medicine, University College London, UK
| | - Petra Nytrova
- Department of Neurology and Centre of Clinical, Neuroscience, First Faculty of Medicine, General University Hospital and First Faculty of Medicine, Charles University in Prague, Czech Republic
| | - Rachel Farrell
- Department of Neuroinflammation, University College London and Institute of Neurology and National Hospital of Neurology and Neurosurgery, UK
| | - Inés Pineda-Torra
- Centre for Experimental & Translational Medicine, Division of Medicine, University College London, UK
| | - Elizabeth C Jury
- Centre for Rheumatology, Division of Medicine, University College London, UK
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2
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Maglio G, D’Agostino M, Caronte FP, Pezone L, Casamassimi A, Rienzo M, Di Zazzo E, Nappo C, Medici N, Molinari AM, Abbondanza C. Multiple Sclerosis: From the Application of Oligoclonal Bands to Novel Potential Biomarkers. Int J Mol Sci 2024; 25:5412. [PMID: 38791450 PMCID: PMC11121866 DOI: 10.3390/ijms25105412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 05/10/2024] [Accepted: 05/14/2024] [Indexed: 05/26/2024] Open
Abstract
Multiple sclerosis is a chronic immune-mediated disorder of the central nervous system with a high heterogeneity among patients. In the clinical setting, one of the main challenges is a proper and early diagnosis for the prediction of disease activity. Current diagnosis is based on the integration of clinical, imaging, and laboratory results, with the latter based on the presence of intrathecal IgG oligoclonal bands in the cerebrospinal fluid whose detection via isoelectric focusing followed by immunoblotting represents the gold standard. Intrathecal synthesis can also be evidenced by the measurement of kappa free light chains in the cerebrospinal fluid, which has reached similar diagnostic accuracy compared to that of oligoclonal bands in the identification of patients with multiple sclerosis; moreover, recent studies have also highlighted its value for early disease activity prediction. This strategy has significant advantages as compared to using oligoclonal band detection, even though some issues remain open. Here, we discuss the current methods applied for cerebrospinal fluid analysis to achieve the most accurate diagnosis and for follow-up and prognosis evaluation. In addition, we describe new promising biomarkers, currently under investigation, that could contribute both to a better diagnosis of multiple sclerosis and to its monitoring of the therapeutic treatment response.
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Affiliation(s)
- Grazia Maglio
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
| | - Marina D’Agostino
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
| | - Francesco Pio Caronte
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
| | - Luciano Pezone
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
| | - Amelia Casamassimi
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Monica Rienzo
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania “Luigi Vanvitelli”, 81100 Caserta, Italy;
| | - Erika Di Zazzo
- Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, 86100 Campobasso, Italy;
| | - Carmela Nappo
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
| | - Nicola Medici
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Anna Maria Molinari
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Ciro Abbondanza
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
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3
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Oppong AE, Coelewij L, Robertson G, Martin-Gutierrez L, Waddington KE, Dönnes P, Nytrova P, Farrell R, Pineda-Torra I, Jury EC. Blood metabolomic and transcriptomic signatures stratify patient subgroups in multiple sclerosis according to disease severity. iScience 2024; 27:109225. [PMID: 38433900 PMCID: PMC10907838 DOI: 10.1016/j.isci.2024.109225] [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: 09/19/2023] [Revised: 12/20/2023] [Accepted: 02/08/2024] [Indexed: 03/05/2024] Open
Abstract
There are no blood-based biomarkers distinguishing patients with relapsing-remitting (RRMS) from secondary progressive multiple sclerosis (SPMS) although evidence supports metabolomic changes according to MS disease severity. Here machine learning analysis of serum metabolomic data stratified patients with RRMS from SPMS with high accuracy and a putative score was developed that stratified MS patient subsets. The top differentially expressed metabolites between SPMS versus patients with RRMS included lipids and fatty acids, metabolites enriched in pathways related to cellular respiration, notably, elevated lactate and glutamine (gluconeogenesis-related) and acetoacetate and bOHbutyrate (ketone bodies), and reduced alanine and pyruvate (glycolysis-related). Serum metabolomic changes were recapitulated in the whole blood transcriptome, whereby differentially expressed genes were also enriched in cellular respiration pathways in patients with SPMS. The final gene-metabolite interaction network demonstrated a potential metabolic shift from glycolysis toward increased gluconeogenesis and ketogenesis in SPMS, indicating metabolic stress which may trigger stress response pathways and subsequent neurodegeneration.
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Affiliation(s)
- Alexandra E. Oppong
- Division of Medicine, Department of Inflammation, University College London, London WC1E 6JF, UK
| | - Leda Coelewij
- Division of Medicine, Department of Inflammation, University College London, London WC1E 6JF, UK
| | - Georgia Robertson
- Division of Medicine, Department of Inflammation, University College London, London WC1E 6JF, UK
| | - Lucia Martin-Gutierrez
- Division of Medicine, Department of Inflammation, University College London, London WC1E 6JF, UK
| | - Kirsty E. Waddington
- Division of Medicine, Department of Inflammation, University College London, London WC1E 6JF, UK
| | - Pierre Dönnes
- Division of Medicine, Department of Inflammation, University College London, London WC1E 6JF, UK
- Scicross AB, Skövde, Sweden
| | - Petra Nytrova
- Department of Neurology and Centre of Clinical, Neuroscience, First Faculty of Medicine, General University Hospital and First Faculty of Medicine, Charles University in Prague, 500 03 Prague, Czech Republic
| | - Rachel Farrell
- Department of Neuroinflammation, University College London and Institute of Neurology and National Hospital of Neurology and Neurosurgery, London WC1N 3BG, UK
| | - Inés Pineda-Torra
- Division of Medicine, Department of Inflammation, University College London, London WC1E 6JF, UK
| | - Elizabeth C. Jury
- Division of Medicine, Department of Inflammation, University College London, London WC1E 6JF, UK
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Bagnoud M, Remlinger J, Joly S, Massy M, Salmen A, Chan A, Karathanassis D, Evangelopoulos M, Hoepner R. Predicting glucocorticoid resistance in multiple sclerosis relapse via a whole blood transcriptomic analysis. CNS Neurosci Ther 2024; 30:e14484. [PMID: 37817393 PMCID: PMC10848073 DOI: 10.1111/cns.14484] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 08/30/2023] [Accepted: 09/20/2023] [Indexed: 10/12/2023] Open
Abstract
AIMS Treatment of multiple sclerosis (MS) relapses consists of short-term administration of high-dose glucocorticoids (GCs). However, over 40% of patients show an insufficient response to GC treatment. We aimed to develop a predictive model for such GC resistance. METHODS We performed a receiver operating characteristic (ROC) curve analysis following the transcriptomic assay of whole blood samples from stable, relapsing GC-sensitive and relapsing GC-resistant patients with MS in two different European centers. RESULTS We identified 12 genes being regulated during a relapse and differentially expressed between GC-sensitive and GC-resistant patients with MS. Using these genes, we defined a statistical model to predict GC resistance with an area under the curve (AUC) of the ROC analysis of 0.913. Furthermore, we observed that relapsing GC-resistant patients with MS have decreased GR, DUSP1, and TSC22D3 mRNA levels compared with relapsing GC-sensitive patients with MS. Finally, we showed that the transcriptome of relapsing GC-resistant patients with MS resembles those of stable patients with MS. CONCLUSION Predicting GC resistance would allow patients to benefit from prompt initiation of an alternative relapse treatment leading to increased treatment efficacy. Thus, we think our model could contribute to reducing disability development in people with MS.
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Affiliation(s)
- Maud Bagnoud
- Department of NeurologyInselspital, Bern University Hospital, University of BernBernSwitzerland
- Department of Biomedical ResearchUniversity of BernBernSwitzerland
| | - Jana Remlinger
- Department of NeurologyInselspital, Bern University Hospital, University of BernBernSwitzerland
- Department of Biomedical ResearchUniversity of BernBernSwitzerland
| | - Sandrine Joly
- Department of NeurologyInselspital, Bern University Hospital, University of BernBernSwitzerland
- Department of Biomedical ResearchUniversity of BernBernSwitzerland
| | - Marine Massy
- Department of NeurologyInselspital, Bern University Hospital, University of BernBernSwitzerland
- Department of Biomedical ResearchUniversity of BernBernSwitzerland
- Graduate School for Cellular and Biomedical SciencesUniversity of BernBernSwitzerland
| | - Anke Salmen
- Department of NeurologyInselspital, Bern University Hospital, University of BernBernSwitzerland
- Department of Biomedical ResearchUniversity of BernBernSwitzerland
| | - Andrew Chan
- Department of NeurologyInselspital, Bern University Hospital, University of BernBernSwitzerland
- Department of Biomedical ResearchUniversity of BernBernSwitzerland
| | - Dimitris Karathanassis
- Department of Neurology, Eginition HospitalNational and Kapodistrian University of AthensAthensGreece
| | | | - Robert Hoepner
- Department of NeurologyInselspital, Bern University Hospital, University of BernBernSwitzerland
- Department of Biomedical ResearchUniversity of BernBernSwitzerland
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Grel H, Woznica D, Ratajczak K, Kalwarczyk E, Anchimowicz J, Switlik W, Olejnik P, Zielonka P, Stobiecka M, Jakiela S. Mitochondrial Dynamics in Neurodegenerative Diseases: Unraveling the Role of Fusion and Fission Processes. Int J Mol Sci 2023; 24:13033. [PMID: 37685840 PMCID: PMC10487704 DOI: 10.3390/ijms241713033] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 08/16/2023] [Accepted: 08/20/2023] [Indexed: 09/10/2023] Open
Abstract
Neurodegenerative diseases (NDs) are a diverse group of disorders characterized by the progressive degeneration and death of neurons, leading to a range of neurological symptoms. Despite the heterogeneity of these conditions, a common denominator is the implication of mitochondrial dysfunction in their pathogenesis. Mitochondria play a crucial role in creating biomolecules, providing energy through adenosine triphosphate (ATP) generated by oxidative phosphorylation (OXPHOS), and producing reactive oxygen species (ROS). When they're not functioning correctly, becoming fragmented and losing their membrane potential, they contribute to these diseases. In this review, we explore how mitochondria fuse and undergo fission, especially in the context of NDs. We discuss the genetic and protein mutations linked to these diseases and how they impact mitochondrial dynamics. We also look at the key regulatory proteins in fusion (MFN1, MFN2, and OPA1) and fission (DRP1 and FIS1), including their post-translational modifications. Furthermore, we highlight potential drugs that can influence mitochondrial dynamics. By unpacking these complex processes, we aim to direct research towards treatments that can improve life quality for people with these challenging conditions.
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Affiliation(s)
- Hubert Grel
- Department of Physics and Biophysics, Institute of Biology, Warsaw University of Life Sciences, 02-787 Warsaw, Poland
| | - Damian Woznica
- Department of Physics and Biophysics, Institute of Biology, Warsaw University of Life Sciences, 02-787 Warsaw, Poland
| | - Katarzyna Ratajczak
- Department of Physics and Biophysics, Institute of Biology, Warsaw University of Life Sciences, 02-787 Warsaw, Poland
| | - Ewelina Kalwarczyk
- Department of Physics and Biophysics, Institute of Biology, Warsaw University of Life Sciences, 02-787 Warsaw, Poland
| | - Julia Anchimowicz
- Department of Biochemistry and Microbiology, Institute of Biology, Warsaw University of Life Sciences, 02-787 Warsaw, Poland
| | - Weronika Switlik
- Department of Biochemistry and Microbiology, Institute of Biology, Warsaw University of Life Sciences, 02-787 Warsaw, Poland
| | - Piotr Olejnik
- Department of Physics and Biophysics, Institute of Biology, Warsaw University of Life Sciences, 02-787 Warsaw, Poland
| | - Piotr Zielonka
- Department of Physics and Biophysics, Institute of Biology, Warsaw University of Life Sciences, 02-787 Warsaw, Poland
| | - Magdalena Stobiecka
- Department of Physics and Biophysics, Institute of Biology, Warsaw University of Life Sciences, 02-787 Warsaw, Poland
| | - Slawomir Jakiela
- Department of Physics and Biophysics, Institute of Biology, Warsaw University of Life Sciences, 02-787 Warsaw, Poland
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Fenton KA, Pedersen HL. Advanced methods and novel biomarkers in autoimmune diseases ‑ a review of the recent years progress in systemic lupus erythematosus. Front Med (Lausanne) 2023; 10:1183535. [PMID: 37425332 PMCID: PMC10326284 DOI: 10.3389/fmed.2023.1183535] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 06/01/2023] [Indexed: 07/11/2023] Open
Abstract
There are several autoimmune and rheumatic diseases affecting different organs of the human body. Multiple sclerosis (MS) mainly affects brain, rheumatoid arthritis (RA) mainly affects joints, Type 1 diabetes (T1D) mainly affects pancreas, Sjogren's syndrome (SS) mainly affects salivary glands, while systemic lupus erythematosus (SLE) affects almost every organ of the body. Autoimmune diseases are characterized by production of autoantibodies, activation of immune cells, increased expression of pro-inflammatory cytokines, and activation of type I interferons. Despite improvements in treatments and diagnostic tools, the time it takes for the patients to be diagnosed is too long, and the main treatment for these diseases is still non-specific anti-inflammatory drugs. Thus, there is an urgent need for better biomarkers, as well as tailored, personalized treatment. This review focus on SLE and the organs affected in this disease. We have used the results from various rheumatic and autoimmune diseases and the organs involved with an aim to identify advanced methods and possible biomarkers to be utilized in the diagnosis of SLE, disease monitoring, and response to treatment.
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Affiliation(s)
- Kristin Andreassen Fenton
- UiT The Arctic University of Norway, Tromsø, Norway
- Centre of Clinical Research and Education, University Hospital of North Norway, Tromsø, Norway
| | - Hege Lynum Pedersen
- UiT The Arctic University of Norway, Tromsø, Norway
- Centre of Clinical Research and Education, University Hospital of North Norway, Tromsø, Norway
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