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Huang Z, Iqbal Z, Zhao Z, Chen X, Mahmmod A, Liu J, Li W, Deng Z. TMEM16 proteins: Ca 2+‑activated chloride channels and phospholipid scramblases as potential drug targets (Review). Int J Mol Med 2024; 54:81. [PMID: 39092585 PMCID: PMC11315658 DOI: 10.3892/ijmm.2024.5405] [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: 03/26/2024] [Accepted: 06/06/2024] [Indexed: 08/04/2024] Open
Abstract
TMEM16 proteins, which function as Ca2+‑activated Cl‑ channels are involved in regulating a wide variety of cellular pathways and functions. The modulators of Cl‑ channels can be used for the molecule‑based treatment of respiratory diseases, cystic fibrosis, tumors, cancer, osteoporosis and coronavirus disease 2019. The TMEM16 proteins link Ca2+ signaling, cellular electrical activity and lipid transport. Thus, deciphering these complex regulatory mechanisms may enable a more comprehensive understanding of the physiological functions of the TMEM16 proteins and assist in ascertaining the applicability of these proteins as potential pharmacological targets for the treatment of a range of diseases. The present review examined the structures, functions and characteristics of the different types of TMEM16 proteins, their association with the pathogenesis of various diseases and the applicability of TMEM16 modulator‑based treatment methods.
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Affiliation(s)
- Zeqi Huang
- Department of Hand and Foot Surgery, Shenzhen Second People's Hospital (The First Hospital Affiliated to Shenzhen University), Shenzhen, Guangdong 518000, P.R. China
| | - Zoya Iqbal
- Department of Orthopaedics, Shenzhen Second People's Hospital (The First Hospital Affiliated to Shenzhen University), Shenzhen, Guangdong 518000, P.R. China
| | - Zhe Zhao
- Department of Hand and Foot Surgery, Shenzhen Second People's Hospital (The First Hospital Affiliated to Shenzhen University), Shenzhen, Guangdong 518000, P.R. China
| | - Xiaoqiang Chen
- Department of Hand and Foot Surgery, Shenzhen Second People's Hospital (The First Hospital Affiliated to Shenzhen University), Shenzhen, Guangdong 518000, P.R. China
| | - Ayesha Mahmmod
- Faculty of Pharmacy, The University of Lahore, Lahore, Punjab 58240, Pakistan
| | - Jianquan Liu
- Department of Hand and Foot Surgery, Shenzhen Second People's Hospital (The First Hospital Affiliated to Shenzhen University), Shenzhen, Guangdong 518000, P.R. China
| | - Wencui Li
- Department of Hand and Foot Surgery, Shenzhen Second People's Hospital (The First Hospital Affiliated to Shenzhen University), Shenzhen, Guangdong 518000, P.R. China
| | - Zhiqin Deng
- Department of Hand and Foot Surgery, Shenzhen Second People's Hospital (The First Hospital Affiliated to Shenzhen University), Shenzhen, Guangdong 518000, P.R. China
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Guymer RH, Silva R, Ghadessi M, Leal S, Gashaw I, Damask A, Paulding C, Rittenhouse KD. ANO2 Genetic Variants and Anti-VEGF Treatment Response in Neovascular AMD: A Pharmacogenetic Substudy of VIEW 1 and VIEW 2. Invest Ophthalmol Vis Sci 2024; 65:17. [PMID: 38980270 PMCID: PMC11244643 DOI: 10.1167/iovs.65.8.17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/10/2024] Open
Abstract
Purpose This analysis investigated potential associations between gene variants and clinical end points in the VIEW 1 and 2 randomized clinical trials of intravitreal aflibercept and ranibizumab in neovascular age-related macular degeneration (AMD). Methods A genome-wide association analysis was conducted in a subgroup of patients from VIEW 1 and 2 consenting to the optional pharmacogenetic analysis. Results Data were pooled from 780 samples from patients representative of the overall VIEW 1 and 2 populations. After Bonferroni correction for multiplicity and statistical adjustment for baseline risk factors, no significant associations were found between previously identified prognostic AMD gene variants and treatment response according to key prespecified VIEW 1 and 2 end points. Genome-wide, there were no significant genetic associations in patients experiencing gains of ≥15 Early Treatment of Diabetic Retinopathy Study letters after 1 or 2 years of treatment. A cluster of variants in ANO2 (encoding anoctamin 2, a calcium-activated chloride channel expressed on photoreceptor cells) on chromosome 12 reached the level of significance for loss of ≥5 letters after 1 year of treatment (P < 5 × 10-8), with the ANO2 rs2110166 SNP demonstrating highly significant association (P = 1.99 × 10-8). Carriers of the ANO2 rs2110166 TT genotype showed a robust increase in visual acuity versus baseline compared with a small decrease in those with the TC genotype. Conclusions None of the potential prognostic candidate genes were associated with the clinical end points for treated patients. Preliminary analyses suggest an association of ANO2 with retinal function, with a potential impact on vision of approximately one line over at least the first year. Further investigation of the function of ANO2 in retinal pathophysiology is merited.
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Affiliation(s)
- Robyn H Guymer
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia
- The University of Melbourne, Melbourne, Australia
| | - Rufino Silva
- Faculty of Medicine, University of Coimbra (FMUC-UC), Coimbra, Portugal
- Unidade Local de Saude de Coimbra (ULS-Coimbra), Coimbra, Portugal
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), Coimbra, Portugal
- Clinical and Academic Centre of Coimbra (CACC), Coimbra, Portugal
| | | | | | | | - Amy Damask
- Regeneron Pharmaceuticals Inc., Tarrytown, NY, United States
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Eckert S, Jakimovski D, Zivadinov R, Hicar M, Weinstock-Guttman B. How to and should we target EBV in MS? Expert Rev Clin Immunol 2024; 20:703-714. [PMID: 38477887 DOI: 10.1080/1744666x.2024.2328739] [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: 12/04/2023] [Accepted: 03/06/2024] [Indexed: 03/14/2024]
Abstract
INTRODUCTION The etiology of multiple sclerosis (MS) remains unknown. Pathogenesis likely relies on a complex interaction between multiple environmental, genetic, and behavioral risk factors. However, a growing body of literature supports the role of a preceding Epstein-Barr virus (EBV) infection in the majority of cases. AREAS COVERED In this narrative review, we summarize the latest findings regarding the potential role of EBV as a predisposing event inducing new onset of MS. EBV interactions with the genetic background and other infectious agents such as human endogenous retrovirus are explored. Additional data regarding the role of EBV regarding the rate of mid- and long-term disease progression is also discussed. Lastly, the effect of currently approved disease-modifying therapies (DMT) for MS treatment on the EBV-based molecular mechanisms and the development of new EBV-specific therapies are further reviewed. EXPERT OPINION Recent strong epidemiological findings support that EBV may be the primary inducing event in certain individuals that shortly thereafter develop MS. More studies are needed in order to better understand the significant variability in susceptibility based on environmental factors such as EBV exposure. Future investigations should focus on determining the specific EBV-related risk antigen(s) and phenotyping people with likely EBV-induced MS. Targeting EBV via several different avenues, including development of an EBV vaccine, may become the mainstay of MS treatment in the future.
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Affiliation(s)
- Svetlana Eckert
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Dejan Jakimovski
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
- Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Mark Hicar
- Department of Pediatrics Jacobs School of Medicine & Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
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Caballero-Ávila M, Lleixà C, Pascual-Goñi E, Martín-Aguilar L, Vidal-Fernandez N, Tejada-Illa C, Collet-Vidiella R, Rojas-Garcia R, Cortés-Vicente E, Turon-Sans J, Gallardo E, Olivé M, Vesperinas A, Carbayo Á, Llansó L, Martinez-Martinez L, Shock A, Christodoulou L, Dizier B, Freeth J, Soden J, Dawson S, Querol L. Membrane Proteome-Wide Screening of Autoantibodies in CIDP Using Human Cell Microarray Technology. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2024; 11:e200216. [PMID: 38484217 PMCID: PMC11078148 DOI: 10.1212/nxi.0000000000200216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 01/19/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND AND OBJECTIVES Autoantibody discovery in complex autoimmune diseases is challenging. Diverse successful antigen identification strategies are available, but, so far, have often been unsuccessful, especially in the discovery of protein antigens in which conformational and post-translational modification are critical. Our study assesses the utility of a human membrane and secreted protein microarray technology to detect autoantibodies in chronic inflammatory demyelinating polyradiculoneuropathy (CIDP). METHODS A cell microarray consisting of human embryonic kidney-293 cells expressing >5,000 human proteins was used. First, a validation step was performed with 4 serum samples from patients with autoimmune nodopathy (AN) to assess the ability of this technology to detect circulating known autoantibodies. The ability of the cell microarray technology to discover novel IgG autoantibodies was assessed incubating the array with 8 CIDP serum samples. Identified autoantibodies were subsequently validated using cell-based assays (CBAs), ELISA, and/or tissue immunohistochemistry and analyzed in a cohort of CIDP and AN (n = 96) and control (n = 100) samples. RESULTS Serum anti-contactin-1 and anti-neurofascin-155 were detected by the human cell microarray technology. Nine potentially relevant antigens were found in patients with CIDP without other detectable antibodies; confirmation was possible in six of them: ephrin type-A receptor 7 (EPHA7); potassium-transporting ATPase alpha chain 1 and subunit beta (ATP4A/4B); leukemia-inhibitory factor (LIF); and interferon lambda 1, 2, and 3 (IFNL1, IFNL2, IFNL3). Anti-ATP4A/4B and anti-EPHA7 antibodies were detected in patients and controls and considered unrelated to CIDP. Both anti-LIF and anti-IFNL antibodies were found in the same 2 patients and were not detected in any control. Both patients showed the same staining pattern against myelinating fibers of peripheral nerve tissue and of myelinating neuron-Schwann cell cocultures. Clinically relevant correlations could not be established for anti-LIF and anti-IFNL3 antibodies. DISCUSSION Our work demonstrates the utility of human cell microarray technology to detect known and discover unknown autoantibodies in human serum samples. Despite potential CIDP-associated autoantibodies (anti-LIF and anti-IFNL3) being identified, their clinical and pathogenic relevance needs to be elucidated in bigger cohorts.
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Affiliation(s)
- Marta Caballero-Ávila
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
| | - Cinta Lleixà
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
| | - Elba Pascual-Goñi
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
| | - Lorena Martín-Aguilar
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
| | - Núria Vidal-Fernandez
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
| | - Clara Tejada-Illa
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
| | - Roger Collet-Vidiella
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
| | - Ricardo Rojas-Garcia
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
| | - Elena Cortés-Vicente
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
| | - Janina Turon-Sans
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
| | - Eduard Gallardo
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
| | - Montse Olivé
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
| | - Ana Vesperinas
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
| | - Álvaro Carbayo
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
| | - Laura Llansó
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
| | - Laura Martinez-Martinez
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
| | - Anthony Shock
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
| | - Louis Christodoulou
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
| | - Benjamin Dizier
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
| | - Jim Freeth
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
| | - Jo Soden
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
| | - Sarah Dawson
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
| | - Luis Querol
- From the Neuromuscular Diseases Unit (M.C.-Á., C.L., E.P.-G., L.M.-A., N.V.-F., C.T.-I., R.C.-V., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., A.V., Á.C., L.L., L.Q.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona; Neuromuscular Diseases (C.L., R.R.-G., E.C.-V., J.T.-S., E.G., M.O., L.Q.), Centro para la Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Madrid; Department of Immunology (L.M.-M.), Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de Barcelona, Spain; UCB Pharma (A.S., L.C., B.D.), Slough; and Retrogenix (Charles River's company) (J.F., J.S., S.D.), United Kingdom
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5
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Zamecnik CR, Sowa GM, Abdelhak A, Dandekar R, Bair RD, Wade KJ, Bartley CM, Kizer K, Augusto DG, Tubati A, Gomez R, Fouassier C, Gerungan C, Caspar CM, Alexander J, Wapniarski AE, Loudermilk RP, Eggers EL, Zorn KC, Ananth K, Jabassini N, Mann SA, Ragan NR, Santaniello A, Henry RG, Baranzini SE, Zamvil SS, Sabatino JJ, Bove RM, Guo CY, Gelfand JM, Cuneo R, von Büdingen HC, Oksenberg JR, Cree BAC, Hollenbach JA, Green AJ, Hauser SL, Wallin MT, DeRisi JL, Wilson MR. An autoantibody signature predictive for multiple sclerosis. Nat Med 2024; 30:1300-1308. [PMID: 38641750 DOI: 10.1038/s41591-024-02938-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 03/21/2024] [Indexed: 04/21/2024]
Abstract
Although B cells are implicated in multiple sclerosis (MS) pathophysiology, a predictive or diagnostic autoantibody remains elusive. In this study, the Department of Defense Serum Repository (DoDSR), a cohort of over 10 million individuals, was used to generate whole-proteome autoantibody profiles of hundreds of patients with MS (PwMS) years before and subsequently after MS onset. This analysis defines a unique cluster in approximately 10% of PwMS who share an autoantibody signature against a common motif that has similarity with many human pathogens. These patients exhibit antibody reactivity years before developing MS symptoms and have higher levels of serum neurofilament light (sNfL) compared to other PwMS. Furthermore, this profile is preserved over time, providing molecular evidence for an immunologically active preclinical period years before clinical onset. This autoantibody reactivity was validated in samples from a separate incident MS cohort in both cerebrospinal fluid and serum, where it is highly specific for patients eventually diagnosed with MS. This signature is a starting point for further immunological characterization of this MS patient subset and may be clinically useful as an antigen-specific biomarker for high-risk patients with clinically or radiologically isolated neuroinflammatory syndromes.
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Affiliation(s)
- Colin R Zamecnik
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Gavin M Sowa
- University of California, San Francisco School of Medicine, San Francisco, CA, USA
- Department of Medicine, McGaw Medical Center of Northwestern University, Chicago, IL, USA
| | - Ahmed Abdelhak
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Ravi Dandekar
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Rebecca D Bair
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Kristen J Wade
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Christopher M Bartley
- Department of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Kerry Kizer
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Danillo G Augusto
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Biological Sciences, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Asritha Tubati
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Refujia Gomez
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Camille Fouassier
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Chloe Gerungan
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Colette M Caspar
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Jessica Alexander
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Anne E Wapniarski
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Rita P Loudermilk
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Erica L Eggers
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Kelsey C Zorn
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
| | - Kirtana Ananth
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Nora Jabassini
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Sabrina A Mann
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub San Francisco, San Francisco, CA, USA
| | - Nicholas R Ragan
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Adam Santaniello
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Roland G Henry
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Sergio E Baranzini
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Scott S Zamvil
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Joseph J Sabatino
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Riley M Bove
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Chu-Yueh Guo
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Jeffrey M Gelfand
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Richard Cuneo
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - H-Christian von Büdingen
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Jorge R Oksenberg
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Bruce A C Cree
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Jill A Hollenbach
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Ari J Green
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Stephen L Hauser
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Mitchell T Wallin
- Department of Veterans Affairs, Multiple Sclerosis Center of Excellence, Washington, DC, USA
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - Joseph L DeRisi
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub San Francisco, San Francisco, CA, USA
| | - Michael R Wilson
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
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6
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Moran O, Tammaro P. Identification of determinants of lipid and ion transport in TMEM16/anoctamin proteins through a Bayesian statistical analysis. Biophys Chem 2024; 308:107194. [PMID: 38401241 DOI: 10.1016/j.bpc.2024.107194] [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: 12/16/2023] [Revised: 01/17/2024] [Accepted: 01/28/2024] [Indexed: 02/26/2024]
Abstract
The TMEM16/Anoctamin protein family (TMEM16x) is composed of members with different functions; some members form Ca2+-activated chloride channels, while others are lipid scramblases or combine the two functions. TMEM16x proteins are typically activated in response to agonist-induced rises of intracellular Ca2+; thus, they couple Ca2+-signalling with cell electrical activity or plasmalemmal lipid homeostasis. The structural domains underlying these functions are not fully defined. We used a Naïve Bayes classifier to gain insights into these domains. The method enabled identification of regions involved in either ion or lipid transport, and suggested domains for possible pharmacological exploitation. The method allowed the prediction of the transport property of any given TMEM16x. We envisage this strategy could be exploited to illuminate the structure-function relationship of any protein family composed of members playing different molecular roles.
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Affiliation(s)
- Oscar Moran
- Istituto di Biofisica, Consiglio Nazionale delle Ricerche (CNR), Via De Marini 6, 16149 Genova, Italy
| | - Paolo Tammaro
- Department Pharmacology, University of Oxford, Mansfield Road, Oxford OX1 3QT, UK.
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7
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Jons D, Grut V, Bergström T, Zetterberg H, Biström M, Gunnarsson M, Vrethem M, Brenner N, Butt J, Blennow K, Nilsson S, Kockum I, Olsson T, Waterboer T, Sundström P, Andersen O. Seroreactivity against lytic, latent and possible cross-reactive EBV antigens appears on average 10 years before MS induced preclinical neuroaxonal damage. J Neurol Neurosurg Psychiatry 2024; 95:325-332. [PMID: 37802637 PMCID: PMC10958269 DOI: 10.1136/jnnp-2023-331868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 09/11/2023] [Indexed: 10/10/2023]
Abstract
BACKGROUND Multiple sclerosis (MS) and presymptomatic axonal injury appear to develop only after an Epstein-Barr virus (EBV) infection. This association remains to be confirmed across a broad preclinical time range, for lytic and latent EBV seroreactivity, and for potential cross-reacting antigens. METHODS We performed a case-control study with 669 individual serum samples obtained before clinical MS onset, identified through cross-linkage with the Swedish MS register. We assayed antibodies against EBV nuclear antigen 1 (EBNA1), viral capsid antigen p18, glycoprotein 350 (gp350), the potential cross-reacting protein anoctamin 2 (ANO2) and the level of sNfL, a marker of axonal injury. RESULTS EBNA1 (latency) seroreactivity increased in the pre-MS group, at 15-20 years before clinical MS onset, followed by gp350 (lytic) seroreactivity (p=0.001-0.009), ANO2 seropositivity appeared shortly after EBNA1-seropositivity in 16.7% of pre-MS cases and 10.0% of controls (p=0.001).With an average lag of almost a decade after EBV, sNfL gradually increased, mainly in the increasing subgroup of seropositive pre-MS cases (p=8.10-5 compared with non-MS controls). Seropositive pre-MS cases reached higher sNfL levels than seronegative pre-MS (p=0.038). In the EBNA1-seropositive pre-MS group, ANO2 seropositive cases had 26% higher sNfL level (p=0.0026). CONCLUSIONS Seroreactivity against latent and lytic EBV antigens, and in a subset ANO2, was detectable on average a decade before the appearance of a gradually increasing axonal injury occurring in the last decade before the onset of clinical MS. These findings strengthen the hypothesis of latent EBV involvement in the pathogenesis of MS.
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Affiliation(s)
- Daniel Jons
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden
| | - Viktor Grut
- Department of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden
| | - Tomas Bergström
- Department of Infectious Diseases, Institute of Biomedicine, the Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden
- Department of Clinical Microbiology, Sahlgrenska University Hospital, Göteborg, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Martin Biström
- Department of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden
| | - Martin Gunnarsson
- Department of Neurology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Magnus Vrethem
- Department of Neurology and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Nicole Brenner
- Infections and Cancer Epidemiology, Infection, Inflammation and Cancer Research Program, German Cancer Research Center, Heidelberg, Germany
| | - Julia Butt
- Infections and Cancer Epidemiology, Infection, Inflammation and Cancer Research Program, German Cancer Research Center, Heidelberg, Germany
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Staffan Nilsson
- Mathematical Sciences, Chalmers University of Technology, Göteborg, Sweden
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Goteborg, Sweden
| | - Ingrid Kockum
- Department of Clinical Neuroscience, The Karolinska Neuroimmunology & Multiple Sclerosis Center, Center for Molecular Medicine, Karolinska Institute, Stockholm, Sweden
| | - Tomas Olsson
- Department of Clinical Neuroscience, The Karolinska Neuroimmunology & Multiple Sclerosis Center, Center for Molecular Medicine, Karolinska Institute, Stockholm, Sweden
| | - Tim Waterboer
- Infections and Cancer Epidemiology, Infection, Inflammation and Cancer Research Program, German Cancer Research Center, Heidelberg, Germany
| | - Peter Sundström
- Department of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden
| | - Oluf Andersen
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden
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8
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Akama-Garren EH, Yin X, Prestwood TR, Ma M, Utz PJ, Carroll MC. T cell help shapes B cell tolerance. Sci Immunol 2024; 9:eadj7029. [PMID: 38363829 DOI: 10.1126/sciimmunol.adj7029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 12/29/2023] [Indexed: 02/18/2024]
Abstract
T cell help is a crucial component of the normal humoral immune response, yet whether it promotes or restrains autoreactive B cell responses remains unclear. Here, we observe that autoreactive germinal centers require T cell help for their formation and persistence. Using retrogenic chimeras transduced with candidate TCRs, we demonstrate that a follicular T cell repertoire restricted to a single autoreactive TCR, but not a foreign antigen-specific TCR, is sufficient to initiate autoreactive germinal centers. Follicular T cell specificity influences the breadth of epitope spreading by regulating wild-type B cell entry into autoreactive germinal centers. These results demonstrate that TCR-dependent T cell help can promote loss of B cell tolerance and that epitope spreading is determined by TCR specificity.
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Affiliation(s)
- Elliot H Akama-Garren
- Program in Cellular and Molecular Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Harvard-MIT Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA
| | - Xihui Yin
- Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Tyler R Prestwood
- Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Minghe Ma
- Program in Cellular and Molecular Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Paul J Utz
- Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Michael C Carroll
- Program in Cellular and Molecular Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
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9
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Giuliano P, La Rosa G, Capozzi S, Cassano E, Damiano S, Habetswallner F, Iodice R, Marra M, Pavone LM, Quarantelli M, Vitelli G, Santillo M, Paternò R. A Blood Test for the Diagnosis of Multiple Sclerosis. Int J Mol Sci 2024; 25:1696. [PMID: 38338973 PMCID: PMC10855725 DOI: 10.3390/ijms25031696] [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: 12/19/2023] [Revised: 01/21/2024] [Accepted: 01/26/2024] [Indexed: 02/12/2024] Open
Abstract
Multiple sclerosis (MS) is an autoimmune chronic disease characterized by inflammation and demyelination of the central nervous system (CNS). Despite numerous studies conducted, valid biomarkers enabling a definitive diagnosis of MS are not yet available. The aim of our study was to identify a marker from a blood sample to ease the diagnosis of MS. In this study, since there is evidence connecting the serotonin pathway to MS, we used an ELISA (Enzyme-Linked Immunosorbent Assay) to detect serum MS-specific auto-antibodies (auto-Ab) against the extracellular loop 1 (ECL-1) of the 5-hydroxytryptamine (5-HT) receptor subtype 2A (5-HT2A). We utilized an ELISA format employing poly-D-lysine as a pre-coating agent. The binding of 208 serum samples from controls, both healthy and pathological, and of 104 serum samples from relapsing-remitting MS (RRMS) patients was tested. We observed that the serum-binding activity in control cohort sera, including those with autoimmune and neurological diseases, was ten times lower compared to the RRMS patient cohort (p = 1.2 × 10-47), with a sensitivity and a specificity of 98% and 100%, respectively. These results show that in the serum of patients with MS there are auto-Ab against the serotonin receptor type 2A which can be successfully used in the diagnosis of MS due to their high sensitivity and specificity.
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Affiliation(s)
| | - Giuliana La Rosa
- Dipartimento di Medicina Clinica e Chirurgia, Università di Napoli Federico II, Via Pansini 5, 80131 Naples, Italy; (G.L.R.); (S.C.); (S.D.); (M.M.); (G.V.); (M.S.)
| | - Serena Capozzi
- Dipartimento di Medicina Clinica e Chirurgia, Università di Napoli Federico II, Via Pansini 5, 80131 Naples, Italy; (G.L.R.); (S.C.); (S.D.); (M.M.); (G.V.); (M.S.)
| | - Emanuele Cassano
- Dipartimento di Neuroscienze, Scienze Riproduttive ed Odontostomatologiche, Università di Napoli Federico II, Via Pansini 5, 80131 Napoli, Italy; (E.C.); (R.I.)
| | - Simona Damiano
- Dipartimento di Medicina Clinica e Chirurgia, Università di Napoli Federico II, Via Pansini 5, 80131 Naples, Italy; (G.L.R.); (S.C.); (S.D.); (M.M.); (G.V.); (M.S.)
| | | | - Rosa Iodice
- Dipartimento di Neuroscienze, Scienze Riproduttive ed Odontostomatologiche, Università di Napoli Federico II, Via Pansini 5, 80131 Napoli, Italy; (E.C.); (R.I.)
| | - Maurizio Marra
- Dipartimento di Medicina Clinica e Chirurgia, Università di Napoli Federico II, Via Pansini 5, 80131 Naples, Italy; (G.L.R.); (S.C.); (S.D.); (M.M.); (G.V.); (M.S.)
| | - Luigi Michele Pavone
- Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università di Napoli Federico II, Via Pansini 5, 80131 Naples, Italy;
| | - Mario Quarantelli
- Biostructure and Bioimaging Institute, Consiglio Nazionale delle Ricerche (CNR), Via De Amicis 95, 80145 Naples, Italy;
| | - Giuseppe Vitelli
- Dipartimento di Medicina Clinica e Chirurgia, Università di Napoli Federico II, Via Pansini 5, 80131 Naples, Italy; (G.L.R.); (S.C.); (S.D.); (M.M.); (G.V.); (M.S.)
| | - Mariarosaria Santillo
- Dipartimento di Medicina Clinica e Chirurgia, Università di Napoli Federico II, Via Pansini 5, 80131 Naples, Italy; (G.L.R.); (S.C.); (S.D.); (M.M.); (G.V.); (M.S.)
| | - Roberto Paternò
- Dipartimento di Medicina Clinica e Chirurgia, Università di Napoli Federico II, Via Pansini 5, 80131 Naples, Italy; (G.L.R.); (S.C.); (S.D.); (M.M.); (G.V.); (M.S.)
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10
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Liblau RS, Latorre D, Kornum BR, Dauvilliers Y, Mignot EJ. The immunopathogenesis of narcolepsy type 1. Nat Rev Immunol 2024; 24:33-48. [PMID: 37400646 DOI: 10.1038/s41577-023-00902-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/01/2023] [Indexed: 07/05/2023]
Abstract
Narcolepsy type 1 (NT1) is a chronic sleep disorder resulting from the loss of a small population of hypothalamic neurons that produce wake-promoting hypocretin (HCRT; also known as orexin) peptides. An immune-mediated pathology for NT1 has long been suspected given its exceptionally tight association with the MHC class II allele HLA-DQB1*06:02, as well as recent genetic evidence showing associations with polymorphisms of T cell receptor genes and other immune-relevant loci and the increased incidence of NT1 that has been observed after vaccination with the influenza vaccine Pandemrix. The search for both self-antigens and foreign antigens recognized by the pathogenic T cell response in NT1 is ongoing. Increased T cell reactivity against HCRT has been consistently reported in patients with NT1, but data demonstrating a primary role for T cells in neuronal destruction are currently lacking. Animal models are providing clues regarding the roles of autoreactive CD4+ and CD8+ T cells in the disease. Elucidation of the pathogenesis of NT1 will allow for the development of targeted immunotherapies at disease onset and could serve as a model for other immune-mediated neurological diseases.
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Affiliation(s)
- Roland S Liblau
- Toulouse Institute for Infectious and Inflammatory Diseases (Infinity), University of Toulouse, CNRS, INSERM, Toulouse, France.
- Department of Immunology, Toulouse University Hospitals, Toulouse, France.
| | | | - Birgitte R Kornum
- Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Yves Dauvilliers
- National Reference Center for Orphan Diseases, Narcolepsy, Idiopathic Hypersomnia and Kleine-Levin Syndrome, Department of Neurology, Gui-de-Chauliac Hospital, CHU de Montpellier, Montpellier, France
- INSERM Institute for Neurosciences of Montpellier, Montpellier, France
| | - Emmanuel J Mignot
- Stanford University, Center for Narcolepsy, Department of Psychiatry and Behavioral Sciences, Palo Alto, CA, USA.
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11
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Almazán NM, Rahbar A, Carlsson M, Hoffman T, Kolstad L, Rönnberg B, Pantalone MR, Fuchs IL, Nauclér A, Ohlin M, Sacharczuk M, Religa P, Amér S, Molnár C, Lundkvist Å, Susrud A, Sörensen B, Söderberg-Nauclér C. Influenza-A mediated pre-existing immunity levels to SARS-CoV-2 could predict early COVID-19 outbreak dynamics. iScience 2023; 26:108441. [PMID: 38144451 PMCID: PMC10746369 DOI: 10.1016/j.isci.2023.108441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 09/14/2023] [Accepted: 11/09/2023] [Indexed: 12/26/2023] Open
Abstract
Susceptibility to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections is highly variable and could be mediated by a cross-protective pre-immunity. We identified 14 cross-reactive peptides between SARS-CoV-2 and influenza A H1N1, H3N2, and human herpesvirus (HHV)-6A/B with potential relevance. The H1N1 peptide NGVEGF was identical to a peptide in the most critical receptor binding motif in SARS-CoV-2 spike protein that interacts with the angiotensin converting enzyme 2 receptor. About 62%-73% of COVID-19-negative blood donors in Stockholm had antibodies to this peptide in the early pre-vaccination phase of the pandemic. Seasonal flu vaccination enhanced neutralizing capacity to SARS-CoV-2 and T cell immunity to this peptide. Mathematical modeling taking the estimated pre-immunity levels to flu into account could fully predict pre-Omicron SARS-CoV-2 outbreaks in Stockholm and India. This cross-immunity provides mechanistic explanations to the epidemiological observation that influenza vaccination protected people against early SARS-CoV-2 infections and implies that flu-mediated cross-protective immunity significantly dampened the first SARS-CoV-2 outbreaks.
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Affiliation(s)
- Nerea Martín Almazán
- Department of Medicine, Unit for Microbial Pathogenesis, Karolinska Institutet, 17164 Solna, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, 171 76 Solna Stockholm, Sweden
- Department of Laboratory Medicine, Division of Pathology, Karolinska Institutet, 141 86 Huddinge Stockholm, Sweden
| | - Afsar Rahbar
- Department of Medicine, Unit for Microbial Pathogenesis, Karolinska Institutet, 17164 Solna, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, 171 76 Solna Stockholm, Sweden
| | - Marcus Carlsson
- Centre for the Mathematical Sciences, Lund University, 223 62 Lund, Sweden
| | - Tove Hoffman
- Zoonosis Science Center (ZSC), Department of Medical Biochemistry and Microbiology (IMBIM), Uppsala University, 1477 Uppsala, Sweden
| | - Linda Kolstad
- Zoonosis Science Center (ZSC), Department of Medical Biochemistry and Microbiology (IMBIM), Uppsala University, 1477 Uppsala, Sweden
| | - Bengt Rönnberg
- Zoonosis Science Center (ZSC), Department of Medical Biochemistry and Microbiology (IMBIM), Uppsala University, 1477 Uppsala, Sweden
| | - Mattia Russel Pantalone
- Department of Medicine, Unit for Microbial Pathogenesis, Karolinska Institutet, 17164 Solna, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, 171 76 Solna Stockholm, Sweden
| | - Ilona Lewensohn Fuchs
- Department of Labortory Medicine, Division of Clinical Microbiology, Karolinska Institutet, 141 86 Huddinge Stockholm, Sweden
- Department of Clinical Microbiology, Karolinska University Hospital, 141 86 Huddinge Stockholm, Sweden
| | - Anna Nauclér
- Department of Medicine, Unit for Microbial Pathogenesis, Karolinska Institutet, 17164 Solna, Stockholm, Sweden
| | - Mats Ohlin
- Department of Immunotechnology and SciLifeLab Human Antibody Therapeutics Infrastructure Unit, Lund University, 223 62 Lund, Sweden
| | - Mariusz Sacharczuk
- Faculty of Pharmacy with the Laboratory Medicine Division, Department of Pharmacodynamics, Medical University of Warsaw, Centre for Preclinical Research and Technology, Banacha 1B, 02-091 Warsaw, Poland
- Department of Experimental Genomics, Institute of Genetics and Animal Biotechnology, Polish Academy of Sciences, Postępu 36A, 05-552 Magdalenka, Poland
| | - Piotr Religa
- Department of Medicine, Unit for Microbial Pathogenesis, Karolinska Institutet, 17164 Solna, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, 171 76 Solna Stockholm, Sweden
- Department of Experimental Genomics, Institute of Genetics and Animal Biotechnology, Polish Academy of Sciences, Postępu 36A, 05-552 Magdalenka, Poland
| | - Stefan Amér
- Familjeläkarna Saltsjöbaden, 133 34 Saltsjöbaden, Sweden
| | - Christian Molnár
- Familjeläkarna Saltsjöbaden, 133 34 Saltsjöbaden, Sweden
- Department of Neurobiology, Care Sciences and Society, NVS, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Åke Lundkvist
- Zoonosis Science Center (ZSC), Department of Medical Biochemistry and Microbiology (IMBIM), Uppsala University, 1477 Uppsala, Sweden
| | | | | | - Cecilia Söderberg-Nauclér
- Department of Medicine, Unit for Microbial Pathogenesis, Karolinska Institutet, 17164 Solna, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, 171 76 Solna Stockholm, Sweden
- Institute of Biomedicine, Unit for Infection and Immunology, MediCity Research Laboratory, University of Turku, FI-20014 Turku, Finland
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12
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Thomas OG, Olsson T. Mimicking the brain: Epstein-Barr virus and foreign agents as drivers of neuroimmune attack in multiple sclerosis. Front Immunol 2023; 14:1304281. [PMID: 38022632 PMCID: PMC10655090 DOI: 10.3389/fimmu.2023.1304281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
T cells have an essential role in adaptive immunity against pathogens and cancer, but failure of thymic tolerance mechanisms can instead lead to escape of T cells with the ability to attack host tissues. Multiple sclerosis (MS) occurs when structures such as myelin and neurons in the central nervous system (CNS) are the target of autoreactive immune responses, resulting in lesions in the brain and spinal cord which cause varied and episodic neurological deficits. A role for autoreactive T cell and antibody responses in MS is likely, and mounting evidence implicates Epstein-Barr virus (EBV) in disease mechanisms. In this review we discuss antigen specificity of T cells involved in development and progression of MS. We examine the current evidence that these T cells can target multiple antigens such as those from pathogens including EBV and briefly describe other mechanisms through which viruses could affect disease. Unravelling the complexity of the autoantigen T cell repertoire is essential for understanding key events in the development and progression of MS, with wider implications for development of future therapies.
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Affiliation(s)
- Olivia G. Thomas
- Therapeutic Immune Design, Centre for Molecular Medicine, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
- Neuroimmunology Unit, Department of Clinical Neuroscience, Centre for Molecular Medicine, Karolinska Institute, Stockholm, Sweden
| | - Tomas Olsson
- Therapeutic Immune Design, Centre for Molecular Medicine, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
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13
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Domingues TD, Malato J, Grabowska AD, Lee JS, Ameijeiras-Alonso J, Biecek P, Graça L, Mouriño H, Scheibenbogen C, Westermeier F, Nacul L, Cliff JM, Lacerda E, Sepúlveda N. Association analysis between symptomology and herpesvirus IgG antibody concentrations in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and multiple sclerosis. Heliyon 2023; 9:e18250. [PMID: 37519635 PMCID: PMC10372404 DOI: 10.1016/j.heliyon.2023.e18250] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 07/10/2023] [Accepted: 07/12/2023] [Indexed: 08/01/2023] Open
Abstract
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and multiple sclerosis (MS) are two complex and multifactorial diseases whose patients experience persistent fatigue, cognitive impairment, among other shared symptoms. The onset of these diseases has also been linked to acute herpesvirus infections or their reactivations. In this work, we re-analyzed a previously-described dataset related to IgG antibody responses to 6 herpesviruses (CMV - cytomegalovirus; EBV - Epstein-Barr virus; HHV6 - human herpesvirus-6; HSV1 and HSV2 - herpes simplex virus-1 and -2, respectively; VZV - varicella-zoster virus) from the United Kingdom ME/CFS biobank. The primary goal was to report the underlying symptomology and its association with herpesvirus IgG antibodies using data from 4 disease-trigger-based subgroups of ME/CFS patients (n = 222) and patients with MS (n = 46). The secondary objective was to assess whether serological data could distinguish ME/CFS and its subgroup from MS using a SuperLearner (SL) algorithm. There was evidence for a significant negative association between temporary eye insight disturbance and CMV antibody concentrations and for a significant positive association between bladder problems and EBV antibody concentrations in the MS group. In the ME/CFS or its subgroups, the most significant antibody-symptom association was obtained for increasing HSV1 antibody concentration and brain fog, a finding in line with a negative impact of HSV1 exposure on cognitive outcomes in both healthy and disease conditions. There was also evidence for a higher number of significant antibody-symptom associations in the MS group than in the ME/CFS group. When we combined all the serological data in an SL algorithm, we could distinguish three ME/CFS subgroups (unknown disease trigger, non-infection trigger, and an infection disease trigger confirmed in the lab at the time of the event) from the MS group. However, we could not find the same for the remaining ME/CFS group (related to an unconfirmed infection disease). In conclusion, IgG antibody data explains more the symptomology of MS patients than the one of ME/CFS patients. Given the fluctuating nature of symptoms in ME/CFS patients, the clinical implication of these findings remains to be determined with a longitudinal study. This study is likely to ascertain the robustness of the associations during natural disease course.
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Affiliation(s)
- Tiago Dias Domingues
- Departamento de Estatística e Investigação Operacional, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- Faculty of Mathematics & Information Science, Warsaw University of Technology, Warsaw, Poland
| | - João Malato
- Faculty of Mathematics & Information Science, Warsaw University of Technology, Warsaw, Poland
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Anna D. Grabowska
- Department of Biophysics, Physiology, And Pathophysiology, Medical University of Warsaw, Warsaw, Poland
| | - Ji-Sook Lee
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Jose Ameijeiras-Alonso
- Department of Statistics, Mathematical Analysis and Optimization, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - Przemysław Biecek
- Faculty of Mathematics & Information Science, Warsaw University of Technology, Warsaw, Poland
| | - Luís Graça
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Helena Mouriño
- Departamento de Estatística e Investigação Operacional, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- Faculty of Mathematics & Information Science, Warsaw University of Technology, Warsaw, Poland
| | - Carmen Scheibenbogen
- Institute of Medical Immunology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Francisco Westermeier
- Department of Health Studies, Institute of Biomedical Science, FH Joanneum University of Applied Sciences, Graz, Austria
- Centro Integrativo de Biología y Química Aplicada (CIBQA), Universidad Bernardo O'Higgins, Santiago, Chile
| | - Luis Nacul
- Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
- BC Women’s Hospital, Vancouver, BC V6H 3N1, Canada
| | - Jacqueline M. Cliff
- Department of Life Sciences and Centre for Inflammation Research and Translational Medicine, Brunel University London, United Kingdom
| | - Eliana Lacerda
- Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Nuno Sepúlveda
- Faculty of Mathematics & Information Science, Warsaw University of Technology, Warsaw, Poland
- Faculty of Mathematics & Information Science, Warsaw University of Technology, Warsaw, Poland
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14
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Thomas OG, Bronge M, Tengvall K, Akpinar B, Nilsson OB, Holmgren E, Hessa T, Gafvelin G, Khademi M, Alfredsson L, Martin R, Guerreiro-Cacais AO, Grönlund H, Olsson T, Kockum I. Cross-reactive EBNA1 immunity targets alpha-crystallin B and is associated with multiple sclerosis. SCIENCE ADVANCES 2023; 9:eadg3032. [PMID: 37196088 PMCID: PMC10191428 DOI: 10.1126/sciadv.adg3032] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 04/11/2023] [Indexed: 05/19/2023]
Abstract
Multiple sclerosis (MS) is an inflammatory disease of the central nervous system, for which and Epstein-Barr virus (EBV) infection is a likely prerequisite. Due to the homology between Epstein-Barr nuclear antigen 1 (EBNA1) and alpha-crystallin B (CRYAB), we examined antibody reactivity to EBNA1 and CRYAB peptide libraries in 713 persons with MS (pwMS) and 722 matched controls (Con). Antibody response to CRYAB amino acids 7 to 16 was associated with MS (OR = 2.0), and combination of high EBNA1 responses with CRYAB positivity markedly increased disease risk (OR = 9.0). Blocking experiments revealed antibody cross-reactivity between the homologous EBNA1 and CRYAB epitopes. Evidence for T cell cross-reactivity was obtained in mice between EBNA1 and CRYAB, and increased CRYAB and EBNA1 CD4+ T cell responses were detected in natalizumab-treated pwMS. This study provides evidence for antibody cross-reactivity between EBNA1 and CRYAB and points to a similar cross-reactivity in T cells, further demonstrating the role of EBV adaptive immune responses in MS development.
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Affiliation(s)
- Olivia G. Thomas
- Therapeutic Immune Design, Center for Molecular Medicine, Department of Clinical Neuroscience, Karolinska Institute, 171 76 Stockholm, Sweden
| | - Mattias Bronge
- Therapeutic Immune Design, Center for Molecular Medicine, Department of Clinical Neuroscience, Karolinska Institute, 171 76 Stockholm, Sweden
| | - Katarina Tengvall
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institute, 171 76 Stockholm, Sweden
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 75123 Uppsala, Sweden
| | - Birce Akpinar
- Therapeutic Immune Design, Center for Molecular Medicine, Department of Clinical Neuroscience, Karolinska Institute, 171 76 Stockholm, Sweden
| | - Ola B. Nilsson
- Therapeutic Immune Design, Center for Molecular Medicine, Department of Clinical Neuroscience, Karolinska Institute, 171 76 Stockholm, Sweden
| | - Erik Holmgren
- Therapeutic Immune Design, Center for Molecular Medicine, Department of Clinical Neuroscience, Karolinska Institute, 171 76 Stockholm, Sweden
| | - Tara Hessa
- Therapeutic Immune Design, Center for Molecular Medicine, Department of Clinical Neuroscience, Karolinska Institute, 171 76 Stockholm, Sweden
| | - Guro Gafvelin
- Therapeutic Immune Design, Center for Molecular Medicine, Department of Clinical Neuroscience, Karolinska Institute, 171 76 Stockholm, Sweden
| | - Mohsen Khademi
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institute, 171 76 Stockholm, Sweden
| | - Lars Alfredsson
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institute, 171 76 Stockholm, Sweden
- Institute of Environmental Medicine, Karolinska Institute, 171 77 Stockholm, Sweden
| | - Roland Martin
- Therapeutic Immune Design, Center for Molecular Medicine, Department of Clinical Neuroscience, Karolinska Institute, 171 76 Stockholm, Sweden
- Institute of Experimental Immunology, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
| | - André Ortlieb Guerreiro-Cacais
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institute, 171 76 Stockholm, Sweden
| | - Hans Grönlund
- Therapeutic Immune Design, Center for Molecular Medicine, Department of Clinical Neuroscience, Karolinska Institute, 171 76 Stockholm, Sweden
| | - Tomas Olsson
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institute, 171 76 Stockholm, Sweden
| | - Ingrid Kockum
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institute, 171 76 Stockholm, Sweden
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15
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Debuysschere C, Nekoua MP, Hober D. Markers of Epstein-Barr Virus Infection in Patients with Multiple Sclerosis. Microorganisms 2023; 11:1262. [PMID: 37317236 DOI: 10.3390/microorganisms11051262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/09/2023] [Accepted: 05/09/2023] [Indexed: 06/16/2023] Open
Abstract
Viral infections have been suspected of being involved in the pathogenesis of certain autoimmune diseases for many years. Epstein-Barr virus (EBV), a DNA virus belonging to the Herpesviridae family, is thought to be associated with the onset and/or the progression of multiple sclerosis (MS), systemic lupus erythematosus, rheumatoid arthritis, Sjögren's syndrome and type 1 diabetes. The lifecycle of EBV consists of lytic cycles and latency programmes (0, I, II and III) occurring in infected B-cells. During this lifecycle, viral proteins and miRNAs are produced. This review provides an overview of the detection of EBV infection, focusing on markers of latency and lytic phases in MS. In MS patients, the presence of latency proteins and antibodies has been associated with lesions and dysfunctions of the central nervous system (CNS). In addition, miRNAs, expressed during lytic and latency phases, may be detected in the CNS of MS patients. Lytic reactivations of EBV can occur in the CNS of patients as well, with the presence of lytic proteins and T-cells reacting to this protein in the CNS of MS patients. In conclusion, markers of EBV infection can be found in MS patients, which argues in favour of a relationship between EBV and MS.
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Affiliation(s)
- Cyril Debuysschere
- Laboratoire de Virologie ULR3610, Université de Lille, CHU Lille, 59000 Lille, France
| | | | - Didier Hober
- Laboratoire de Virologie ULR3610, Université de Lille, CHU Lille, 59000 Lille, France
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16
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Xie C, Zhong LY, Bu GL, Zhao GX, Yuan BY, Liu YT, Sun C, Zeng MS. Anti-EBV antibodies: Roles in diagnosis, pathogenesis, and antiviral therapy. J Med Virol 2023; 95:e28793. [PMID: 37212266 DOI: 10.1002/jmv.28793] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 05/02/2023] [Accepted: 05/03/2023] [Indexed: 05/23/2023]
Abstract
Epstein-Barr virus (EBV) infection is prevalent in global population and associated with multiple malignancies and autoimmune diseases. During the infection, EBV-harbored or infected cell-expressing antigen could elicit a variety of antibodies with significant role in viral host response and pathogenesis. These antibodies have been extensively evaluated and found to be valuable in predicting disease diagnosis and prognosis, exploring disease mechanisms, and developing antiviral agents. In this review, we discuss the versatile roles of EBV antibodies as important biomarkers for EBV-related diseases, potential driving factors of autoimmunity, and promising therapeutic agents for viral infection and pathogenesis.
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Affiliation(s)
- Chu Xie
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Department of Experimental Research, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - Lan-Yi Zhong
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Department of Experimental Research, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - Guo-Long Bu
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Department of Experimental Research, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - Ge-Xin Zhao
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Department of Experimental Research, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - Bo-Yu Yuan
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Department of Experimental Research, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - Yuan-Tao Liu
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Department of Experimental Research, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - Cong Sun
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Department of Experimental Research, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - Mu-Sheng Zeng
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Department of Experimental Research, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, China
- Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Guangzhou, China
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17
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Geroldinger-Simić M, Bayati S, Pohjanen E, Sepp N, Nilsson P, Pin E. Autoantibodies against PIP4K2B and AKT3 Are Associated with Skin and Lung Fibrosis in Patients with Systemic Sclerosis. Int J Mol Sci 2023; 24:5629. [PMID: 36982700 PMCID: PMC10051301 DOI: 10.3390/ijms24065629] [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: 02/19/2023] [Revised: 03/10/2023] [Accepted: 03/11/2023] [Indexed: 03/18/2023] Open
Abstract
Systemic sclerosis (SSc) is a rare autoimmune systemic disease that leads to decreased survival and quality of life due to fibrosis, inflammation, and vascular damage in the skin and/or vital organs. Early diagnosis is crucial for clinical benefit in SSc patients. Our study aimed to identify autoantibodies in the plasma of SSc patients that are associated with fibrosis in SSc. Initially, we performed a proteome-wide screening on sample pools from SSc patients by untargeted autoantibody screening on a planar antigen array (including 42,000 antigens representing 18,000 unique proteins). The selection was complemented with proteins reported in the literature in the context of SSc. A targeted antigen bead array was then generated with protein fragments representing the selected proteins and used to screen 55 SSc plasma samples and 52 matched controls. We found eleven autoantibodies with a higher prevalence in SSc patients than in controls, eight of which bound to proteins associated with fibrosis. Combining these autoantibodies in a panel could lead to the subgrouping of SSc patients with fibrosis. Anti-Phosphatidylinositol-5-phosphate 4-kinase type 2 beta (PIP4K2B)- and anti-AKT Serine/Threonine Kinase 3 (AKT3)-antibodies should be further explored to confirm their association with skin and lung fibrosis in SSc patients.
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Affiliation(s)
- Marija Geroldinger-Simić
- Department of Dermatology and Venereology, Ordensklinikum Linz Elisabethinen, 4020 Linz, Austria
- Faculty of Medicine, Johannes Kepler University, 4040 Linz, Austria
| | - Shaghayegh Bayati
- Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, 171 65 Stockholm, Sweden
| | - Emmie Pohjanen
- Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, 171 65 Stockholm, Sweden
| | - Norbert Sepp
- Department of Dermatology and Venereology, Ordensklinikum Linz Elisabethinen, 4020 Linz, Austria
| | - Peter Nilsson
- Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, 171 65 Stockholm, Sweden
| | - Elisa Pin
- Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, 171 65 Stockholm, Sweden
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18
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Grimm L, Onyeukwu C, Kenny G, Parent DM, Fu J, Dhingra S, Yang E, Moy J, Utz PJ, Tracy R, Landay A. Immune Dysregulation in Acute SARS-CoV-2 Infection. Pathog Immun 2023; 7:143-170. [PMID: 36865568 PMCID: PMC9973727 DOI: 10.20411/pai.v7i2.537] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 12/13/2022] [Indexed: 02/23/2023] Open
Abstract
Introduction Neutralizing antibodies have been shown to develop rapidly following SARS-CoV-2 infection, specifically against spike (S) protein, where cytokine release and production is understood to drive the humoral immune response during acute infection. Thus, we evaluated the quantity and function of antibodies across disease severities and analyzed the associated inflammatory and coagulation pathways to identify acute markers that correlate with antibody response following infection. Methods Blood samples were collected from patients at time of diagnostic SARS-CoV-2 PCR testing between March 2020-November 2020. Plasma samples were analyzed using the MesoScale Discovery (MSD) Platform using the COVID-19 Serology Kit and U-Plex 8 analyte multiplex plate to measure anti-alpha and beta coronavirus antibody concentration and ACE2 blocking function, as well as plasma cytokines. Results A total of 230 (181 unique patients) samples were analyzed across the 5 COVID-19 disease severities. We found that antibody quantity directly correlated with functional ability to block virus binding to membrane-bound ACE2, where a lower SARS-CoV-2 anti-spike/anti-RBD response corresponded with a lower antibody blocking potential compared to higher antibody response (anti-S1 r = 0.884, P < 0.001; anti-RBD r = 0.75, P < 0.001). Across all the soluble proinflammatory markers we examined, ICAM, IL-1β, IL-4, IL-6, TNFα, and Syndecan showed a statistically significant positive correlation between cytokine or epithelial marker and antibody quantity regardless of COVID-19 disease severity. Analysis of autoantibodies against type 1 interferon was not shown to be statistically significant between disease severity groups. Conclusion Previous studies have shown that proinflammatory markers, including IL-6, IL-8, IL-1β, and TNFα, are significant predictors of COVID-19 disease severity, regardless of demographics or comorbidities. Our study demonstrated that not only are these proinflammatory markers, as well as IL-4, ICAM, and Syndecan, correlative of disease severity, they are also correlative of antibody quantity and quality following SARS-CoV-2 exposure.
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Affiliation(s)
- Lauren Grimm
- Department of Internal Medicine, RUSH University Medical Center, Chicago, IL,CORRESPONDING AUTHOR: Lauren Grimm,
| | - Chinyere Onyeukwu
- Department of Internal Medicine, RUSH University Medical Center, Chicago, IL
| | - Grace Kenny
- Centre for Experimental Pathogen Host Research, University College Dublin, Ireland; Department of Infectious Diseases, St Vincent’s University Hospital, Dublin, Ireland
| | - Danielle M. Parent
- Department of Pathology and Laboratory Medicine and Department of Biochemistry, University of Vermont Larner College of Medicine, Burlington, VT
| | - Jia Fu
- Department of Internal Medicine, RUSH University Medical Center, Chicago, IL
| | - Shaurya Dhingra
- Division of Immunology, Department of Medicine, Stanford University, Stanford, CA
| | - Emily Yang
- Division of Immunology, Department of Medicine, Stanford University, Stanford, CA
| | - James Moy
- Department of Internal Medicine, RUSH University Medical Center, Chicago, IL
| | - PJ Utz
- Division of Immunology, Department of Medicine, Stanford University, Stanford, CA
| | - Russell Tracy
- Department of Pathology and Laboratory Medicine and Department of Biochemistry, University of Vermont Larner College of Medicine, Burlington, VT
| | - Alan Landay
- Department of Internal Medicine, RUSH University Medical Center, Chicago, IL
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19
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Olofsson J, Hellström C, Andersson E, Yousef J, Skoglund L, Sjöberg R, Månberg A, Nilsson P, Pin E. Array-Based Multiplex and High-Throughput Serology Assays. Methods Mol Biol 2023; 2628:535-553. [PMID: 36781805 DOI: 10.1007/978-1-0716-2978-9_31] [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] [Indexed: 02/15/2023]
Abstract
The detection of antibody responses using serological tests provides means to diagnose infections, follow disease transmission, and monitor vaccination responses. The coronavirus disease 2019 (COVID-19) pandemic, caused by the SARS-CoV-2 virus, highlighted the need for rapid development of robust and reliable serological tests to follow disease spreading. Moreover, the rise of SARS-CoV-2 variants emphasized the need to monitor their transmission and prevalence in the population. For this reason, multiplex and flexible serological assays are needed to allow for rapid inclusion of antigens representing new variants as soon as they appear. In this chapter, we describe the generation and application of a multiplex serological test, based on bead array technology, to detect anti-SARS-CoV-2 antibodies in a high-throughput manner, using only a few microliters of sample. This method is currently expanding to include a multi-disease antigen panel that will allow parallel detection of antibodies towards several infectious agents.
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Affiliation(s)
- Jennie Olofsson
- Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Ceke Hellström
- Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Eni Andersson
- Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Jamil Yousef
- Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Lovisa Skoglund
- Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Ronald Sjöberg
- Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Anna Månberg
- Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Peter Nilsson
- Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Elisa Pin
- Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden.
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20
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Feng A, Yang EY, Moore AR, Dhingra S, Chang SE, Yin X, Pi R, Mack EK, Völkel S, Geßner R, Gündisch M, Neubauer A, Renz H, Tsiodras S, Fragkou PC, Asuni AA, Levitt JE, Wilson JG, Leong M, Lumb JH, Mao R, Pinedo K, Roque J, Richards CM, Stabile M, Swaminathan G, Salagianni ML, Triantafyllia V, Bertrams W, Blish CA, Carette JE, Frankovich J, Meffre E, Nadeau KC, Singh U, Wang TT, Luning Prak ET, Herold S, Andreakos E, Schmeck B, Skevaki C, Rogers AJ, Utz PJ. Autoantibodies are highly prevalent in non-SARS-CoV-2 respiratory infections and critical illness. JCI Insight 2023; 8:e163150. [PMID: 36752204 PMCID: PMC9977421 DOI: 10.1172/jci.insight.163150] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 12/14/2022] [Indexed: 02/09/2023] Open
Abstract
The widespread presence of autoantibodies in acute infection with SARS-CoV-2 is increasingly recognized, but the prevalence of autoantibodies in non-SARS-CoV-2 infections and critical illness has not yet been reported. We profiled IgG autoantibodies in 267 patients from 5 independent cohorts with non-SARS-CoV-2 viral, bacterial, and noninfectious critical illness. Serum samples were screened using Luminex arrays that included 58 cytokines and 55 autoantigens, many of which are associated with connective tissue diseases (CTDs). Samples positive for anti-cytokine antibodies were tested for receptor blocking activity using cell-based functional assays. Anti-cytokine antibodies were identified in > 50% of patients across all 5 acutely ill cohorts. In critically ill patients, anti-cytokine antibodies were far more common in infected versus uninfected patients. In cell-based functional assays, 11 of 39 samples positive for select anti-cytokine antibodies displayed receptor blocking activity against surface receptors for Type I IFN, GM-CSF, and IL-6. Autoantibodies against CTD-associated autoantigens were also commonly observed, including newly detected antibodies that emerged in longitudinal samples. These findings demonstrate that anti-cytokine and autoantibodies are common across different viral and nonviral infections and range in severity of illness.
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Affiliation(s)
- Allan Feng
- Department of Medicine, Division of Immunology and Rheumatology
- Institute for Immunity, Transplantation and Infection
| | - Emily Y. Yang
- Department of Medicine, Division of Immunology and Rheumatology
- Institute for Immunity, Transplantation and Infection
| | - Andrew Reese Moore
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, and
| | - Shaurya Dhingra
- Department of Medicine, Division of Immunology and Rheumatology
- Institute for Immunity, Transplantation and Infection
| | - Sarah Esther Chang
- Department of Medicine, Division of Immunology and Rheumatology
- Institute for Immunity, Transplantation and Infection
| | - Xihui Yin
- Department of Medicine, Division of Immunology and Rheumatology
- Institute for Immunity, Transplantation and Infection
| | - Ruoxi Pi
- Department of Medicine, Division of Infectious Diseases, Stanford University School of Medicine, Stanford, California, USA
| | - Elisabeth K.M. Mack
- Department of Hematology, Oncology, Immunology, Philipps University Marburg, Marburg, Germany
| | - Sara Völkel
- Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Philipps University Marburg, German Center for Lung Research (DZL), Marburg, Germany
| | - Reinhard Geßner
- Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Philipps University Marburg, German Center for Lung Research (DZL), Marburg, Germany
| | - Margrit Gündisch
- Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Philipps University Marburg, German Center for Lung Research (DZL), Marburg, Germany
| | - Andreas Neubauer
- Department of Hematology, Oncology, Immunology, Philipps University Marburg, Marburg, Germany
| | - Harald Renz
- Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Philipps University Marburg, German Center for Lung Research (DZL), Marburg, Germany
| | - Sotirios Tsiodras
- 4th Department of Internal Medicine, Medical School, National and Kapodistrian University of Athens, Attikon University Hospital, Athens, Greece
| | - Paraskevi C. Fragkou
- 4th Department of Internal Medicine, Medical School, National and Kapodistrian University of Athens, Attikon University Hospital, Athens, Greece
- European Society of Clinical Microbiology and Infectious Diseases (ESCMID), Study Group for Respiratory Viruses (ESGREV), Basel, Switzerland
| | - Adijat A. Asuni
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, and
| | - Joseph E. Levitt
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, and
| | | | - Michelle Leong
- Department of Medicine, Division of Infectious Diseases, Stanford University School of Medicine, Stanford, California, USA
| | - Jennifer H. Lumb
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA
| | - Rong Mao
- Department of Medicine, Division of Immunology and Rheumatology
- Institute for Immunity, Transplantation and Infection
| | - Kassandra Pinedo
- Department of Medicine, Division of Infectious Diseases, Stanford University School of Medicine, Stanford, California, USA
| | - Jonasel Roque
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, and
| | - Christopher M. Richards
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA
| | - Mikayla Stabile
- Department of Medicine, Division of Infectious Diseases, Stanford University School of Medicine, Stanford, California, USA
| | - Gayathri Swaminathan
- Department of Medicine, Division of Immunology and Rheumatology
- Institute for Immunity, Transplantation and Infection
| | - Maria L. Salagianni
- Laboratory of Immunobiology, Center for Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Vasiliki Triantafyllia
- Laboratory of Immunobiology, Center for Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Wilhelm Bertrams
- Institute for Lung Research, UGMLC, Philipps University Marburg, Marburg, Germany
| | - Catherine A. Blish
- Institute for Immunity, Transplantation and Infection
- Department of Medicine, Division of Infectious Diseases, Stanford University School of Medicine, Stanford, California, USA
- Chan Zuckerberg Biohub, San Francisco, California, USA
| | - Jan E. Carette
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA
| | - Jennifer Frankovich
- Department of Pediatrics, Division of Allergy, Immunology, Rheumatology, Stanford University School of Medicine, Stanford, California, USA
| | - Eric Meffre
- Department of Immunobiology, Yale University, New Haven, Connecticut, USA
| | - Kari Christine Nadeau
- Institute for Immunity, Transplantation and Infection
- Department of Medicine, Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Stanford, California, USA
| | - Upinder Singh
- Institute for Immunity, Transplantation and Infection
- Department of Medicine, Division of Infectious Diseases, Stanford University School of Medicine, Stanford, California, USA
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA
| | - Taia T. Wang
- Institute for Immunity, Transplantation and Infection
- Department of Medicine, Division of Infectious Diseases, Stanford University School of Medicine, Stanford, California, USA
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA
- Chan Zuckerberg Biohub, San Francisco, California, USA
| | - Eline T. Luning Prak
- Department of Pathology and Laboratory Medicine and
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Susanne Herold
- Department of Internal Medicine V, Infectious Diseases and Infection Control, UKGM, Justus Liebig University, and Institute for Lung Health (ILH), Giessen, Germany
- DZL and UGMLC, Giessen, Germany
| | - Evangelos Andreakos
- Laboratory of Immunobiology, Center for Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Bernd Schmeck
- Institute for Lung Research, UGMLC, Philipps University Marburg, Marburg, Germany
- Department of Medicine, Pulmonary and Critical Care Medicine, University Medical Center Marburg, Marburg, Germany
- DZL, German Center for Infection Research (DZIF), Center for Synthetic Microbiology (SYNMIKRO), Philipps University of Marburg, Marburg, Germany
| | - Chrysanthi Skevaki
- Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Philipps University Marburg, German Center for Lung Research (DZL), Marburg, Germany
| | - Angela J. Rogers
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, and
| | - Paul J. Utz
- Department of Medicine, Division of Immunology and Rheumatology
- Institute for Immunity, Transplantation and Infection
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21
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Wimmers F, Burrell AR, Feng Y, Zheng H, Arunachalam PS, Hu M, Spranger S, Nyhoff L, Joshi D, Trisal M, Awasthi M, Bellusci L, Ashraf U, Kowli S, Konvinse KC, Yang E, Blanco M, Pellegrini K, Tharp G, Hagan T, Chinthrajah RS, Grifoni A, Sette A, Nadeau KC, Haslam DB, Bosinger SE, Wrammert J, Maecker HT, Utz PJ, Wang TT, Khurana S, Khatri P, Staat MA, Pulendran B. Systems biological assessment of the temporal dynamics of immunity to a viral infection in the first weeks and months of life. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.01.28.23285133. [PMID: 36778389 PMCID: PMC9915811 DOI: 10.1101/2023.01.28.23285133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
The dynamics of innate and adaptive immunity to infection in infants remain obscure. Here, we used a multi-omics approach to perform a longitudinal analysis of immunity to SARS-CoV-2 infection in infants and young children in the first weeks and months of life by analyzing blood samples collected before, during, and after infection with Omicron and Non-Omicron variants. Infection stimulated robust antibody titers that, unlike in adults, were stably maintained for >300 days. Antigen-specific memory B cell (MCB) responses were durable for 150 days but waned thereafter. Somatic hypermutation of V-genes in MCB accumulated progressively over 9 months. The innate response was characterized by upregulation of activation markers on blood innate cells, and a plasma cytokine profile distinct from that seen in adults, with no inflammatory cytokines, but an early and transient accumulation of chemokines (CXCL10, IL8, IL-18R1, CSF-1, CX3CL1), and type I IFN. The latter was strongly correlated with viral load, and expression of interferon-stimulated genes (ISGs) in myeloid cells measured by single-cell transcriptomics. Consistent with this, single-cell ATAC-seq revealed enhanced accessibility of chromatic loci targeted by interferon regulatory factors (IRFs) and reduced accessibility of AP-1 targeted loci, as well as traces of epigenetic imprinting in monocytes, during convalescence. Together, these data provide the first snapshot of immunity to infection during the initial weeks and months of life.
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Affiliation(s)
- Florian Wimmers
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Department of Molecular Medicine, Interfaculty Institute for Biochemistry, University of Tuebingen, Tuebingen, Germany
- DFG Cluster of Excellence 2180 ‘Image-guided and Functional Instructed Tumor Therapy’ (iFIT), University of Tuebingen, Tuebingen, Germany
- German Consortium for Translational Cancer Research (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Allison R. Burrell
- Department of Infectious Diseases, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Department of Environmental and Public Health Sciences, Division of Epidemiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Yupeng Feng
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Hong Zheng
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, CA, 94305, USA
| | - Prabhu S. Arunachalam
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Mengyun Hu
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Sara Spranger
- Department of Infectious Diseases, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
| | - Lindsay Nyhoff
- Department of Pediatrics, Division of Infectious Disease, Emory University School of Medicine
| | - Devyani Joshi
- Department of Pediatrics, Division of Infectious Disease, Emory University School of Medicine
| | - Meera Trisal
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Mayanka Awasthi
- Division of Viral Products, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, 20993, USA
| | - Lorenza Bellusci
- Division of Viral Products, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, 20993, USA
| | - Usama Ashraf
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Department of Medicine, Division of Infectious Diseases, Stanford University, Stanford, CA 94305, USA
| | - Sangeeta Kowli
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Katherine C. Konvinse
- Department of Pediatrics, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Emily Yang
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael Blanco
- Stanford Genomics Service Center, Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Gregory Tharp
- Yerkes National Primate Research Center, Atlanta, GA, USA
| | - Thomas Hagan
- Department of Infectious Diseases, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - R. Sharon Chinthrajah
- Department of Medicine, Sean N. Parker Center for Allergy and Asthma Research, Stanford, CA 94305, USA
| | - Alba Grifoni
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA
| | - Alessandro Sette
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA
- Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego, La Jolla, CA 92037, USA
| | - Kari C. Nadeau
- Department of Medicine, Sean N. Parker Center for Allergy and Asthma Research, Stanford, CA 94305, USA
| | - David B. Haslam
- Department of Infectious Diseases, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Steven E. Bosinger
- Yerkes National Primate Research Center, Atlanta, GA, USA
- Department of Pathology, Emory University School of Medicine, Atlanta, GA, USA
| | - Jens Wrammert
- Department of Pediatrics, Division of Infectious Disease, Emory University School of Medicine
| | - Holden T. Maecker
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Paul J. Utz
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA, USA
| | - Taia T. Wang
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Department of Medicine, Division of Infectious Diseases, Stanford University, Stanford, CA 94305, USA
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Surender Khurana
- Division of Viral Products, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, 20993, USA
| | - Purvesh Khatri
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, CA, 94305, USA
| | - Mary A. Staat
- Department of Infectious Diseases, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Bali Pulendran
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
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22
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Wang Z, Choi K. Pharmacological modulation of chloride channels as a therapeutic strategy for neurological disorders. Front Physiol 2023; 14:1122444. [PMID: 36935741 PMCID: PMC10017882 DOI: 10.3389/fphys.2023.1122444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 02/09/2023] [Indexed: 03/06/2023] Open
Abstract
Chloride homeostasis is critical in the physiological functions of the central nervous system (CNS). Its concentration is precisely regulated by multiple ion-transporting proteins such as chloride channels and transporters that are widely distributed in the brain cells, including neurons and glia. Unlike ion transporters, chloride channels provide rapid responses to efficiently regulate ion flux. Some of chloride channels are also permeable to selected organic anions such as glutamate and γ-aminobutyric acid, suggesting neuroexcitatory and neuroinhibitory functions while gating. Dysregulated chloride channels are implicated in neurological disorders, e.g., ischemia and neuroinflammation. Modulation of chloride homeostasis through chloride channels has been suggested as a potential therapeutic approach for neurological disorders. The drug design for CNS diseases is challenging because it requires the therapeutics to traverse the blood-brain-barrier. Small molecules are a well-established modality with better cell permeability due to their lower molecular weight and flexibility for structure optimization compared to biologics. In this article, we describe the important roles of chloride homeostasis in each type of brain cells and introduce selected chloride channels identified in the CNS. We then discuss the contribution of their dysregulations towards the pathogenesis of neurological disorders, emphasizing the potential of targeting chloride channels as a therapeutic strategy for CNS disease treatment. Along with this literature survey, we summarize the small molecules that modulate chloride channels and propose the potential strategy of optimizing existing drugs to brain-penetrants to support future CNS drug discovery.
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23
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Ruder J, Docampo MJ, Rex J, Obahor S, Naghavian R, Müller AM, Schanz U, Jelcic I, Martin R. Dynamics of T cell repertoire renewal following autologous hematopoietic stem cell transplantation in multiple sclerosis. Sci Transl Med 2022; 14:eabq1693. [DOI: 10.1126/scitranslmed.abq1693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2023]
Abstract
Autologous hematopoietic stem cell transplantation (aHSCT) is a highly effective treatment of multiple sclerosis (MS). It depletes autoreactive cells and subsequently renews adaptive immune cells. The possible proinflammatory potential of surviving T cells early after aHSCT has not been studied. Here, we examined the dynamics of new and surviving T cells in 27 patients after aHSCT by multidimensional flow cytometry, T cell receptor (TCR) sequencing, specificity testing, telomere length profiling, and HLA genotyping. Early after aHSCT, naïve T cells are barely detectable, whereas effector memory (EM) T cells quickly reconstitute to pre-aHSCT values. EM CD4+T cells early after aHSCT have shorter telomeres, have higher expression of senescence and exhaustion markers, and proliferate less than those before aHSCT. We find a median TCR repertoire overlap of 26% between the early post-aHSCT EM CD4+T cells and pre-aHSCT, indicating persistence of EM CD4+T cells early after transplantation. The EM CD4+TCR repertoire overlap declines to 15% at 12 months after aHSCT, whereas the naïve TCR repertoire entirely renews. HLA-DR–associated EM CD4+T cell reactivity toward MS-related antigens decreased after aHSCT, whereas reactivity toward EBV increased. Our data show substantial survival of pre-aHSCT EM CD4+T cells early after transplantation but complete renewal of the T cell repertoire by nascent T cells later.
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Affiliation(s)
- Josefine Ruder
- Neuroimmunology and Multiple Sclerosis Research Section (NIMS), Department of Neurology, University and University Hospital Zurich, 8091 Zurich, Switzerland
| | - María José Docampo
- Neuroimmunology and Multiple Sclerosis Research Section (NIMS), Department of Neurology, University and University Hospital Zurich, 8091 Zurich, Switzerland
| | - Jordan Rex
- Neuroimmunology and Multiple Sclerosis Research Section (NIMS), Department of Neurology, University and University Hospital Zurich, 8091 Zurich, Switzerland
| | - Simon Obahor
- Neuroimmunology and Multiple Sclerosis Research Section (NIMS), Department of Neurology, University and University Hospital Zurich, 8091 Zurich, Switzerland
| | - Reza Naghavian
- Neuroimmunology and Multiple Sclerosis Research Section (NIMS), Department of Neurology, University and University Hospital Zurich, 8091 Zurich, Switzerland
| | - Antonia M.S. Müller
- Department of Medical Oncology and Hematology, University and University Hospital Zurich, 8091 Zurich, Switzerland
| | - Urs Schanz
- Department of Medical Oncology and Hematology, University and University Hospital Zurich, 8091 Zurich, Switzerland
| | - Ilijas Jelcic
- Neuroimmunology and Multiple Sclerosis Research Section (NIMS), Department of Neurology, University and University Hospital Zurich, 8091 Zurich, Switzerland
| | - Roland Martin
- Neuroimmunology and Multiple Sclerosis Research Section (NIMS), Department of Neurology, University and University Hospital Zurich, 8091 Zurich, Switzerland
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24
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Kaisey M, Lashgari G, Fert-Bober J, Ontaneda D, Solomon AJ, Sicotte NL. An Update on Diagnostic Laboratory Biomarkers for Multiple Sclerosis. Curr Neurol Neurosci Rep 2022; 22:675-688. [PMID: 36269540 DOI: 10.1007/s11910-022-01227-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/12/2022] [Indexed: 01/27/2023]
Abstract
PURPOSE For many patients, the multiple sclerosis (MS) diagnostic process can be lengthy, costly, and fraught with error. Recent research aims to address the unmet need for an accurate and simple diagnostic process through discovery of novel diagnostic biomarkers. This review summarizes recent studies on MS diagnostic fluid biomarkers, with a focus on blood biomarkers, and includes discussion of technical limitations and practical applicability. RECENT FINDINGS This line of research is in its early days. Accurate and easily obtainable biomarkers for MS have not yet been identified and validated, but several approaches to uncover them are underway. Continue efforts to define laboratory diagnostic biomarkers are likely to play an increasingly important role in defining MS at the earliest stages, leading to better long-term clinical outcomes.
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Affiliation(s)
- Marwa Kaisey
- Cedars-Sinai Medical Center Department of Neurology, 127 S. San Vicente Blvd, A6600, Los Angeles, CA, 90048, USA.
| | - Ghazal Lashgari
- Cedars-Sinai Medical Center Department of Neurology, 127 S. San Vicente Blvd, A6600, Los Angeles, CA, 90048, USA
| | - Justyna Fert-Bober
- Cedars-Sinai Medical Center Department of Neurology, 127 S. San Vicente Blvd, A6600, Los Angeles, CA, 90048, USA
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis, Neurological Institute, Cleveland Clinic, 9500 Euclid Ave. U10 Mellen Center, Cleveland, OH, 44106, USA
| | - Andrew J Solomon
- Department of Neurological Sciences, Larner College of Medicine at the University of Vermont University Health Center, Arnold 2, 1 South Prospect Street, Burlington, VT, 05401, USA
| | - Nancy L Sicotte
- Cedars-Sinai Medical Center Department of Neurology, 127 S. San Vicente Blvd, A6600, Los Angeles, CA, 90048, USA
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25
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Gaun A, Preciado López M, Olsson N, Wang JCK, Chan LJG, O'Brien J, Li W, Zavala‐Solorio J, Zhang C, Eaton D, McAllister FE. Triple‐threat quantitative multiplexed plasma proteomics analysis on immune complex disease MRL‐lpr mice. Proteomics 2022; 22:e2100242. [DOI: 10.1002/pmic.202100242] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 06/30/2022] [Accepted: 07/22/2022] [Indexed: 11/07/2022]
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26
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Bhargava P, Hartung HP, Calabresi PA. Contribution of B cells to cortical damage in multiple sclerosis. Brain 2022; 145:3363-3373. [PMID: 35775595 DOI: 10.1093/brain/awac233] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 05/06/2022] [Accepted: 06/17/2022] [Indexed: 11/14/2022] Open
Abstract
Multiple sclerosis is associated with lesions not just in the white matter, but also involving the cortex. Cortical involvement has been linked to greater disease severity and hence understanding the factor underlying cortical pathology could help identify new therapeutic strategies for multiple sclerosis. The critical role of B cells in multiple sclerosis has been clarified by multiple pivotal trials of B cell depletion in people with multiple sclerosis. The presence of B cell rich areas of meningeal inflammation in multiple sclerosis has been identified at all stages of multiple sclerosis. Leptomeningeal inflammation is associated with greater extent of cortical demyelination and neuronal loss and with greater disease severity. Recent studies have identified several potential mechanisms by which B cells may mediate cortical injury including antibody production, extracellular vesicles containing neurotoxic substances and production of pro-inflammatory cytokines. Additionally, B cells may indirectly mediate cortical damage through effects on T cells, macrophages or microglia. Several animal models replicate the meningeal inflammation and cortical injury noted in people with multiple sclerosis. Studies in these models have identified BTK inhibition and type II anti-CD20 antibodies as potential agents that can impact meningeal inflammation. Trials of anti-CD20 monoclonal antibodies in people with multiple sclerosis have unsuccessfully attempted to eliminate B cells in the leptomeninges. New strategies to target B cells in multiple sclerosis include BTK inhibition and cell-based therapies aimed at B cells infected with Epstein Barr virus. Future studies will clarify the mechanisms by which B cells mediate cortical injury and treatment strategies that can target B cells in the leptomeninges and CNS parenchyma.
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Affiliation(s)
- Pavan Bhargava
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hans Peter Hartung
- Department of Neurology, Heinrich-Heine University, Dusseldorf, Germany.,Brain and Mind Center, University of Sydney, Sydney, Australia.,Department of Neurology, Medical University of Vienna, Vienna, Austria.,Department of Neurology, Palacky University Olomouc, Olomouc, Czech Republic
| | - Peter A Calabresi
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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27
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Proteomics in Multiple Sclerosis: The Perspective of the Clinician. Int J Mol Sci 2022; 23:ijms23095162. [PMID: 35563559 PMCID: PMC9100097 DOI: 10.3390/ijms23095162] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 04/26/2022] [Accepted: 05/02/2022] [Indexed: 02/08/2023] Open
Abstract
Multiple sclerosis (MS) is the inflammatory demyelinating and neurodegenerative disease of the central nervous system (CNS) that affects approximately 2.8 million people worldwide. In the last decade, a new era was heralded in by a new phenotypic classification, a new diagnostic protocol and the first ever therapeutic guideline, making personalized medicine the aim of MS management. However, despite this great evolution, there are still many aspects of the disease that are unknown and need to be further researched. A hallmark of these research are molecular biomarkers that could help in the diagnosis, differential diagnosis, therapy and prognosis of the disease. Proteomics, a rapidly evolving discipline of molecular biology may fulfill this dire need for the discovery of molecular biomarkers. In this review, we aimed to give a comprehensive summary on the utility of proteomics in the field of MS research. We reviewed the published results of the method in case of the pathogenesis of the disease and for biomarkers of diagnosis, differential diagnosis, conversion of disease courses, disease activity, progression and immunological therapy. We found proteomics to be a highly effective emerging tool that has been providing important findings in the research of MS.
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28
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Bronge M, Högelin KA, Thomas OG, Ruhrmann S, Carvalho-Queiroz C, Nilsson OB, Kaiser A, Zeitelhofer M, Holmgren E, Linnerbauer M, Adzemovic MZ, Hellström C, Jelcic I, Liu H, Nilsson P, Hillert J, Brundin L, Fink K, Kockum I, Tengvall K, Martin R, Tegel H, Gräslund T, Al Nimer F, Guerreiro-Cacais AO, Khademi M, Gafvelin G, Olsson T, Grönlund H. Identification of four novel T cell autoantigens and personal autoreactive profiles in multiple sclerosis. SCIENCE ADVANCES 2022; 8:eabn1823. [PMID: 35476434 PMCID: PMC9045615 DOI: 10.1126/sciadv.abn1823] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 02/17/2022] [Indexed: 05/29/2023]
Abstract
Multiple sclerosis (MS) is an inflammatory disease of the central nervous system (CNS), in which pathological T cells, likely autoimmune, play a key role. Despite its central importance, the autoantigen repertoire remains largely uncharacterized. Using a novel in vitro antigen delivery method combined with the Human Protein Atlas library, we screened for T cell autoreactivity against 63 CNS-expressed proteins. We identified four previously unreported autoantigens in MS: fatty acid-binding protein 7, prokineticin-2, reticulon-3, and synaptosomal-associated protein 91, which were verified to induce interferon-γ responses in MS in two cohorts. Autoreactive profiles were heterogeneous, and reactivity to several autoantigens was MS-selective. Autoreactive T cells were predominantly CD4+ and human leukocyte antigen-DR restricted. Mouse immunization induced antigen-specific responses and CNS leukocyte infiltration. This represents one of the largest systematic efforts to date in the search for MS autoantigens, demonstrates the heterogeneity of autoreactive profiles, and highlights promising targets for future diagnostic tools and immunomodulatory therapies in MS.
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Affiliation(s)
- Mattias Bronge
- Therapeutic Immune Design, Department of Clinical Neuroscience, Karolinska Institutet, Center for Molecular Medicine, 171 76 Stockholm, Sweden
| | - Klara Asplund Högelin
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, 171 76 Stockholm, Sweden
| | - Olivia G. Thomas
- Therapeutic Immune Design, Department of Clinical Neuroscience, Karolinska Institutet, Center for Molecular Medicine, 171 76 Stockholm, Sweden
| | - Sabrina Ruhrmann
- Therapeutic Immune Design, Department of Clinical Neuroscience, Karolinska Institutet, Center for Molecular Medicine, 171 76 Stockholm, Sweden
| | - Claudia Carvalho-Queiroz
- Therapeutic Immune Design, Department of Clinical Neuroscience, Karolinska Institutet, Center for Molecular Medicine, 171 76 Stockholm, Sweden
| | - Ola B. Nilsson
- Therapeutic Immune Design, Department of Clinical Neuroscience, Karolinska Institutet, Center for Molecular Medicine, 171 76 Stockholm, Sweden
| | - Andreas Kaiser
- Therapeutic Immune Design, Department of Clinical Neuroscience, Karolinska Institutet, Center for Molecular Medicine, 171 76 Stockholm, Sweden
| | - Manuel Zeitelhofer
- Division of Vascular Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Erik Holmgren
- Therapeutic Immune Design, Department of Clinical Neuroscience, Karolinska Institutet, Center for Molecular Medicine, 171 76 Stockholm, Sweden
| | - Mathias Linnerbauer
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, 171 76 Stockholm, Sweden
| | - Milena Z. Adzemovic
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, 171 76 Stockholm, Sweden
| | - Cecilia Hellström
- Division of Affinity Proteomics, Department of Protein Science, SciLifeLab, KTH–Royal Institute of Technology, 171 65 Solna, Sweden
| | - Ivan Jelcic
- Neuroimmunology and MS Research Section (NIMS), Neurology Clinic, University of Zürich, University Hospital Zürich, 8091 Zürich, Switzerland
| | - Hao Liu
- Department of Protein Science, KTH–Royal Institute of Technology, 114 21 Stockholm, Sweden
| | - Peter Nilsson
- Division of Affinity Proteomics, Department of Protein Science, SciLifeLab, KTH–Royal Institute of Technology, 171 65 Solna, Sweden
| | - Jan Hillert
- Department of Clinical Neuroscience, Division of Neurology, Karolinska Institutet, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Lou Brundin
- Department of Clinical Neuroscience, Division of Neurology, Karolinska Institutet, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Katharina Fink
- Department of Clinical Neuroscience, Division of Neurology, Karolinska Institutet, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Ingrid Kockum
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, 171 76 Stockholm, Sweden
| | - Katarina Tengvall
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, 171 76 Stockholm, Sweden
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 752 37 Uppsala, Sweden
| | - Roland Martin
- Neuroimmunology and MS Research Section (NIMS), Neurology Clinic, University of Zürich, University Hospital Zürich, 8091 Zürich, Switzerland
| | - Hanna Tegel
- Human Protein Atlas, Department of Protein Science, KTH–Royal Institute of Technology, Stockholm, Sweden
| | - Torbjörn Gräslund
- Department of Protein Science, KTH–Royal Institute of Technology, 114 21 Stockholm, Sweden
| | - Faiez Al Nimer
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, 171 76 Stockholm, Sweden
| | - André Ortlieb Guerreiro-Cacais
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, 171 76 Stockholm, Sweden
| | - Mohsen Khademi
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, 171 76 Stockholm, Sweden
| | - Guro Gafvelin
- Therapeutic Immune Design, Department of Clinical Neuroscience, Karolinska Institutet, Center for Molecular Medicine, 171 76 Stockholm, Sweden
| | - Tomas Olsson
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, 171 76 Stockholm, Sweden
| | - Hans Grönlund
- Therapeutic Immune Design, Department of Clinical Neuroscience, Karolinska Institutet, Center for Molecular Medicine, 171 76 Stockholm, Sweden
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29
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Polymodal Control of TMEM16x Channels and Scramblases. Int J Mol Sci 2022; 23:ijms23031580. [PMID: 35163502 PMCID: PMC8835819 DOI: 10.3390/ijms23031580] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 01/20/2022] [Accepted: 01/20/2022] [Indexed: 02/01/2023] Open
Abstract
The TMEM16A/anoctamin-1 calcium-activated chloride channel (CaCC) contributes to a range of vital functions, such as the control of vascular tone and epithelial ion transport. The channel is a founding member of a family of 10 proteins (TMEM16x) with varied functions; some members (i.e., TMEM16A and TMEM16B) serve as CaCCs, while others are lipid scramblases, combine channel and scramblase function, or perform additional cellular roles. TMEM16x proteins are typically activated by agonist-induced Ca2+ release evoked by Gq-protein-coupled receptor (GqPCR) activation; thus, TMEM16x proteins link Ca2+-signalling with cell electrical activity and/or lipid transport. Recent studies demonstrate that a range of other cellular factors—including plasmalemmal lipids, pH, hypoxia, ATP and auxiliary proteins—also control the activity of the TMEM16A channel and its paralogues, suggesting that the TMEM16x proteins are effectively polymodal sensors of cellular homeostasis. Here, we review the molecular pathophysiology, structural biology, and mechanisms of regulation of TMEM16x proteins by multiple cellular factors.
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30
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Purohit S, She JX. Multiplex Glycan Bead Array (MGBA ) for High Throughput and High Content Analyses of Glycan-Binding Proteins Including Natural Anti-Glycan Antibodies. Methods Mol Biol 2022; 2460:33-44. [PMID: 34972929 PMCID: PMC9284344 DOI: 10.1007/978-1-0716-2148-6_3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
We present here detailed protocols for the newly developed multiplex glycan bead array (MGBA) for the high throughput and high content analyses of various glycan-binding proteins including anti-glycan antibodies. This platform takes advantage of the commercially available Luminex beads to construct glycan arrays that are easily customizable at will and anytime by researchers. The platform allows the simultaneous analyses of up to 500 glycans and 384 samples at a time. By using multiple arrays, a researcher can analyze thousands of glycans and tens of thousands of samples within a short period. The assay is highly sensitive, specific, reproducible, economic, and fast. Furthermore, the bead array platform is approved for use in clinical settings, speeding up the translation of laboratory discoveries into patient care.
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Affiliation(s)
- Sharad Purohit
- Center for Biotechnology and Genomic Medicine, Augusta University, Augusta, GA, USA
- Department of Obstetrics and Gynecology, Medical College of Georgia, Augusta University, Augusta, GA, USA
- Department of Undergraduate Health Professionals, College of Allied Health Sciences Augusta University, Augusta, GA, USA
| | - Jin-Xiong She
- Center for Biotechnology and Genomic Medicine, Augusta University, Augusta, GA, USA.
- Department of Obstetrics and Gynecology, Medical College of Georgia, Augusta University, Augusta, GA, USA.
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31
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San Segundo-Acosta P, Montero-Calle A, Jernbom-Falk A, Alonso-Navarro M, Pin E, Andersson E, Hellström C, Sánchez-Martínez M, Rábano A, Solís-Fernández G, Peláez-García A, Martínez-Useros J, Fernández-Aceñero MJ, Månberg A, Nilsson P, Barderas R. Multiomics Profiling of Alzheimer's Disease Serum for the Identification of Autoantibody Biomarkers. J Proteome Res 2021; 20:5115-5130. [PMID: 34628858 DOI: 10.1021/acs.jproteome.1c00630] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
New biomarkers of Alzheimer's disease (AD) with a diagnostic value in preclinical and prodromal stages are urgently needed. AD-related serum autoantibodies are potential candidate biomarkers. Here, we aimed at identifying AD-related serum autoantibodies using protein microarrays and mass spectrometry-based methods. To this end, an untargeted complementary screening using high-density (42,100 antigens) and low-density (384 antigens) planar protein-epitope signature tag (PrEST) arrays and an immunoprecipitation protocol coupled to mass spectrometry analysis were used for serum autoantibody profiling. From the untargeted screening phase, 377 antigens corresponding to 338 proteins were selected for validation. Out of them, IVD, CYFIP1, and ADD2 seroreactivity was validated using 128 sera from AD patients and controls by PrEST-suspension bead arrays, and ELISA or luminescence Halotag-based bead immunoassay using full-length recombinant proteins. Importantly, IVD, CYFIP1, and ADD2 showed in combination a noticeable AD diagnostic ability. Moreover, IVD protein abundance in the prefrontal cortex was significantly two-fold higher in AD patients than in controls by western blot and immunohistochemistry, whereas CYFIP1 and ADD2 were significantly down-regulated in AD patients. The panel of AD-related autoantigens identified by a comprehensive multiomics approach may provide new insights of the disease and should help in the blood-based diagnosis of Alzheimer's disease. Mass spectrometry raw data are available in the ProteomeXchange database with the access number PXD028392.
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Affiliation(s)
- Pablo San Segundo-Acosta
- Chronic Disease Programme (UFIEC), Instituto de Salud Carlos III, Majadahonda, Madrid 28220, Spain.,Departamento de Bioquímica y Biología Molecular, Facultad de Ciencias Químicas, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Ana Montero-Calle
- Chronic Disease Programme (UFIEC), Instituto de Salud Carlos III, Majadahonda, Madrid 28220, Spain
| | - August Jernbom-Falk
- Division of Affinity Proteomics, Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Solna, Stockholm 171 65, Sweden
| | - Miren Alonso-Navarro
- Chronic Disease Programme (UFIEC), Instituto de Salud Carlos III, Majadahonda, Madrid 28220, Spain
| | - Elisa Pin
- Division of Affinity Proteomics, Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Solna, Stockholm 171 65, Sweden
| | - Eni Andersson
- Division of Affinity Proteomics, Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Solna, Stockholm 171 65, Sweden
| | - Cecilia Hellström
- Division of Affinity Proteomics, Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Solna, Stockholm 171 65, Sweden
| | | | - Alberto Rábano
- Alzheimer Disease Research Unit, CIEN Foundation, Queen Sofia Foundation Alzheimer Center, Madrid 28031, Spain
| | | | - Alberto Peláez-García
- Molecular Pathology and Therapeutic Targets Group, La Paz University Hospital (IdiPAZ), Madrid 28046, Spain
| | - Javier Martínez-Useros
- Translational Oncology Division, OncoHealth Institute, Health Research Institute-Fundacion Jimenez Diaz University Hospital, Madrid 28040, Spain
| | - María Jesús Fernández-Aceñero
- Servicio de Anatomía Patológica Hospital Universitario Clínico San Carlos, Departamento de Anatomía Patológica, Facultad de Medicina, Complutense University of Madrid, Madrid 28040, Spain
| | - Anna Månberg
- Division of Affinity Proteomics, Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Solna, Stockholm 171 65, Sweden
| | - Peter Nilsson
- Division of Affinity Proteomics, Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Solna, Stockholm 171 65, Sweden
| | - Rodrigo Barderas
- Chronic Disease Programme (UFIEC), Instituto de Salud Carlos III, Majadahonda, Madrid 28220, Spain
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32
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Chang SE, Feng A, Meng W, Apostolidis SA, Mack E, Artandi M, Barman L, Bennett K, Chakraborty S, Chang I, Cheung P, Chinthrajah S, Dhingra S, Do E, Finck A, Gaano A, Geßner R, Giannini HM, Gonzalez J, Greib S, Gündisch M, Hsu AR, Kuo A, Manohar M, Mao R, Neeli I, Neubauer A, Oniyide O, Powell AE, Puri R, Renz H, Schapiro J, Weidenbacher PA, Wittman R, Ahuja N, Chung HR, Jagannathan P, James JA, Kim PS, Meyer NJ, Nadeau KC, Radic M, Robinson WH, Singh U, Wang TT, Wherry EJ, Skevaki C, Luning Prak ET, Utz PJ. New-onset IgG autoantibodies in hospitalized patients with COVID-19. Nat Commun 2021; 12:5417. [PMID: 34521836 PMCID: PMC8440763 DOI: 10.1038/s41467-021-25509-3] [Citation(s) in RCA: 239] [Impact Index Per Article: 79.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 08/09/2021] [Indexed: 02/08/2023] Open
Abstract
COVID-19 is associated with a wide range of clinical manifestations, including autoimmune features and autoantibody production. Here we develop three protein arrays to measure IgG autoantibodies associated with connective tissue diseases, anti-cytokine antibodies, and anti-viral antibody responses in serum from 147 hospitalized COVID-19 patients. Autoantibodies are identified in approximately 50% of patients but in less than 15% of healthy controls. When present, autoantibodies largely target autoantigens associated with rare disorders such as myositis, systemic sclerosis and overlap syndromes. A subset of autoantibodies targeting traditional autoantigens or cytokines develop de novo following SARS-CoV-2 infection. Autoantibodies track with longitudinal development of IgG antibodies recognizing SARS-CoV-2 structural proteins and a subset of non-structural proteins, but not proteins from influenza, seasonal coronaviruses or other pathogenic viruses. We conclude that SARS-CoV-2 causes development of new-onset IgG autoantibodies in a significant proportion of hospitalized COVID-19 patients and are positively correlated with immune responses to SARS-CoV-2 proteins.
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Affiliation(s)
- Sarah Esther Chang
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA, USA
- Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA
| | - Allan Feng
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA, USA
- Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA
| | - Wenzhao Meng
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sokratis A Apostolidis
- Department of Medicine, Division of Rheumatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Elisabeth Mack
- Department of Hematology, Oncology, Immunology, Philipps University Marburg, Marburg, Germany
| | - Maja Artandi
- Department of Medicine, Division of Primary Care and Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Stanford CROWN Clinic, Stanford University School of Medicine, Stanford, CA, USA
| | - Linda Barman
- Department of Medicine, Division of Primary Care and Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Kate Bennett
- Molecular Pathology and Imaging Core, Department of Medicine, Gastroenterology Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Saborni Chakraborty
- Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Iris Chang
- Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Stanford, CA, USA
| | - Peggie Cheung
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA, USA
- Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA
| | - Sharon Chinthrajah
- Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Stanford, CA, USA
| | - Shaurya Dhingra
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA, USA
- Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA
| | - Evan Do
- Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Stanford, CA, USA
| | - Amanda Finck
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Andrew Gaano
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Reinhard Geßner
- Institute of Laboratory Medicine, Philipps University Marburg, Marburg, Germany
| | - Heather M Giannini
- Department of Microbiology, Immunology and Biochemistry, The University of Tennessee Health Science Center, Memphis, TN, USA
| | - Joyce Gonzalez
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sarah Greib
- Institute of Laboratory Medicine, Philipps University Marburg, Marburg, Germany
| | - Margrit Gündisch
- Institute of Laboratory Medicine, Philipps University Marburg, Marburg, Germany
| | - Alex Ren Hsu
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA, USA
- Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA
| | - Alex Kuo
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA, USA
- Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA
| | - Monali Manohar
- Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Rong Mao
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA, USA
- Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA
| | - Indira Neeli
- Department of Microbiology, Immunology and Biochemistry, The University of Tennessee Health Science Center, Memphis, TN, USA
| | - Andreas Neubauer
- Department of Hematology, Oncology, Immunology, Philipps University Marburg, Marburg, Germany
| | - Oluwatosin Oniyide
- Department of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Abigail E Powell
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- ChEM-H, Stanford University, Stanford, USA
| | - Rajan Puri
- Department of Medicine, Division of Primary Care and Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Harald Renz
- Institute of Laboratory Medicine, Philipps University Marburg, Marburg, Germany
- Member of the Universities of Giessen and Marburg Lung Center (UGMLC), and the German Center for Lung Research (DZL), Giessen, Germany
| | - Jeffrey Schapiro
- TPMG Regional Reference Laboratory, Kaiser Permanente Northern California, Berkeley, CA, USA
| | - Payton A Weidenbacher
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- ChEM-H, Stanford University, Stanford, USA
| | - Richard Wittman
- Department of Medicine, Division of Primary Care and Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Neera Ahuja
- Department of Medicine, Division of Hospital Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Ho-Ryun Chung
- Institute for Medical Bioinformatics and Biostatistics, Philipps University Marburg, Marburg, Germany
| | - Prasanna Jagannathan
- Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA
| | - Judith A James
- Arthritis & Clinical Immunology Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Peter S Kim
- Department of Microbiology, Immunology and Biochemistry, The University of Tennessee Health Science Center, Memphis, TN, USA
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Nuala J Meyer
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kari C Nadeau
- Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Stanford, CA, USA
| | - Marko Radic
- Department of Microbiology, Immunology and Biochemistry, The University of Tennessee Health Science Center, Memphis, TN, USA
| | - William H Robinson
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA, USA
- Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA
- VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Upinder Singh
- Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA
| | - Taia T Wang
- Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - E John Wherry
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Chrysanthi Skevaki
- Institute of Laboratory Medicine, Philipps University Marburg, Marburg, Germany.
- Member of the Universities of Giessen and Marburg Lung Center (UGMLC), and the German Center for Lung Research (DZL), Giessen, Germany.
| | - Eline T Luning Prak
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Paul J Utz
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA, USA.
- Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA.
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33
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Moody R, Wilson KL, Boer JC, Holien JK, Flanagan KL, Jaworowski A, Plebanski M. Predicted B Cell Epitopes Highlight the Potential for COVID-19 to Drive Self-Reactive Immunity. FRONTIERS IN BIOINFORMATICS 2021; 1:709533. [PMID: 36303764 PMCID: PMC9581003 DOI: 10.3389/fbinf.2021.709533] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 08/03/2021] [Indexed: 12/14/2022] Open
Abstract
COVID-19, caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), whilst commonly characterised as a respiratory disease, is reported to have extrapulmonary manifestations in multiple organs. Extrapulmonary involvement in COVID-19 includes autoimmune-like diseases such as Guillain-Barré syndrome and Kawasaki disease, as well as the presence of various autoantibodies including those associated with autoimmune diseases such a systemic lupus erythematosus (e.g. ANA, anti-La). Multiple strains of SARS-CoV-2 have emerged globally, some of which are found to be associated with increased transmissibility and severe disease. We performed an unbiased comprehensive mapping of the potential for cross-reactivity with self-antigens across multiple SARS-CoV-2 proteins and compared identified immunogenic regions across multiples strains. Using the Immune Epitope Database (IEDB) B cell epitope prediction tool, regions predicted as antibody epitopes with high prediction scores were selected. Epitope sequences were then blasted to eight other global strains to identify mutations within these regions. Of the 15 sequences compared, eight had a mutation in at least one other global strain. Predicted epitopes were then compared to human proteins using the NCBI blast tool. In contrast to studies focusing on short sequences of peptide identity, we have taken an immunological approach to selection criteria for further analysis and have identified 136 alignments of 6–23 amino acids (aa) in 129 human proteins that are immunologically likely to be cross-reactive with SARS-CoV-2. Additionally, to identify regions with significant potential to interfere with host cell function-or promote immunopathology, we identified epitope regions more likely to be accessible to pathogenic autoantibodies in the host, selected using a novel combination of sequence similarity, and modelling protein and alignment localization with a focus on extracellular regions. Our analysis identified 11 new predicted B-cell epitopes in host proteins, potentially capable of explaining key aspects of COVID-19 extrapulmonary pathology, and which were missed in other in silico studies which used direct identity rather than immunologically related functional criteria.
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Affiliation(s)
- Rhiane Moody
- School of Health and Biomedical Science, STEM College, RMIT University, Bundoora, VIC, Australia
| | - Kirsty L. Wilson
- School of Health and Biomedical Science, STEM College, RMIT University, Bundoora, VIC, Australia
| | - Jennifer C. Boer
- School of Health and Biomedical Science, STEM College, RMIT University, Bundoora, VIC, Australia
| | - Jessica K. Holien
- School of Science, STEM College, RMIT University, Bundoora, VIC, Australia
| | - Katie L. Flanagan
- School of Health and Biomedical Science, STEM College, RMIT University, Bundoora, VIC, Australia
- Tasmanian Vaccine Trial Centre, Clifford Craig Foundation, Launceston General Hospital, Launceston, TAS, Australia
- School of Medicine, University of Tasmania, Launceston, TAS, Australia
- Department of Immunology and Pathology, Monash University, Melbourne, VIC, Australia
| | - Anthony Jaworowski
- School of Health and Biomedical Science, STEM College, RMIT University, Bundoora, VIC, Australia
| | - Magdalena Plebanski
- School of Health and Biomedical Science, STEM College, RMIT University, Bundoora, VIC, Australia
- *Correspondence: Magdalena Plebanski,
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34
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Arunachalam PS, Scott MKD, Hagan T, Li C, Feng Y, Wimmers F, Grigoryan L, Trisal M, Edara VV, Lai L, Chang SE, Feng A, Dhingra S, Shah M, Lee AS, Chinthrajah S, Sindher SB, Mallajosyula V, Gao F, Sigal N, Kowli S, Gupta S, Pellegrini K, Tharp G, Maysel-Auslender S, Hamilton S, Aoued H, Hrusovsky K, Roskey M, Bosinger SE, Maecker HT, Boyd SD, Davis MM, Utz PJ, Suthar MS, Khatri P, Nadeau KC, Pulendran B. Systems vaccinology of the BNT162b2 mRNA vaccine in humans. Nature 2021; 596:410-416. [PMID: 34252919 PMCID: PMC8761119 DOI: 10.1038/s41586-021-03791-x] [Citation(s) in RCA: 269] [Impact Index Per Article: 89.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 07/01/2021] [Indexed: 02/07/2023]
Abstract
The emergency use authorization of two mRNA vaccines in less than a year from the emergence of SARS-CoV-2 represents a landmark in vaccinology1,2. Yet, how mRNA vaccines stimulate the immune system to elicit protective immune responses is unknown. Here we used a systems vaccinology approach to comprehensively profile the innate and adaptive immune responses of 56 healthy volunteers who were vaccinated with the Pfizer-BioNTech mRNA vaccine (BNT162b2). Vaccination resulted in the robust production of neutralizing antibodies against the wild-type SARS-CoV-2 (derived from 2019-nCOV/USA_WA1/2020) and, to a lesser extent, the B.1.351 strain, as well as significant increases in antigen-specific polyfunctional CD4 and CD8 T cells after the second dose. Booster vaccination stimulated a notably enhanced innate immune response as compared to primary vaccination, evidenced by (1) a greater frequency of CD14+CD16+ inflammatory monocytes; (2) a higher concentration of plasma IFNγ; and (3) a transcriptional signature of innate antiviral immunity. Consistent with these observations, our single-cell transcriptomics analysis demonstrated an approximately 100-fold increase in the frequency of a myeloid cell cluster enriched in interferon-response transcription factors and reduced in AP-1 transcription factors, after secondary immunization. Finally, we identified distinct innate pathways associated with CD8 T cell and neutralizing antibody responses, and show that a monocyte-related signature correlates with the neutralizing antibody response against the B.1.351 variant. Collectively, these data provide insights into the immune responses induced by mRNA vaccination and demonstrate its capacity to prime the innate immune system to mount a more potent response after booster immunization.
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Affiliation(s)
- Prabhu S Arunachalam
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Madeleine K D Scott
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Center for Biomedical Informatics, Department of Medicine, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Thomas Hagan
- Division of Infectious Diseases, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Chunfeng Li
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Yupeng Feng
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Florian Wimmers
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Lilit Grigoryan
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Meera Trisal
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | | | - Lilin Lai
- Yerkes National Primate Research Center, Atlanta, GA, USA
| | - Sarah Esther Chang
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Allan Feng
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Shaurya Dhingra
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Mihir Shah
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, CA, USA
| | - Alexandra S Lee
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, CA, USA
| | - Sharon Chinthrajah
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, CA, USA
| | - Sayantani B Sindher
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, CA, USA
| | - Vamsee Mallajosyula
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Fei Gao
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Natalia Sigal
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Sangeeta Kowli
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Sheena Gupta
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | | | - Gregory Tharp
- Yerkes National Primate Research Center, Atlanta, GA, USA
| | - Sofia Maysel-Auslender
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | | | - Hadj Aoued
- Yerkes National Primate Research Center, Atlanta, GA, USA
| | | | | | - Steven E Bosinger
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Department of Pathology, Emory University School of Medicine, Atlanta, GA, USA
| | - Holden T Maecker
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Scott D Boyd
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Mark M Davis
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Paul J Utz
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Mehul S Suthar
- Yerkes National Primate Research Center, Atlanta, GA, USA
| | - Purvesh Khatri
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA.
- Center for Biomedical Informatics, Department of Medicine, Stanford University School of Medicine, Stanford University, Stanford, CA, USA.
| | - Kari C Nadeau
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, CA, USA.
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA.
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, Stanford University School of Medicine, Stanford University, Stanford, CA, USA.
| | - Bali Pulendran
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA.
- Department of Pathology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA.
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA.
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35
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Sepúlveda N. Impact of genetic variation on the molecular mimicry between Anoctamin-2 and Epstein-Barr virus nuclear antigen 1 in Multiple Sclerosis. Immunol Lett 2021; 238:29-31. [PMID: 34310987 DOI: 10.1016/j.imlet.2021.07.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 07/19/2021] [Indexed: 12/12/2022]
Affiliation(s)
- Nuno Sepúlveda
- CEAUL - Centro de Estatística e Aplicações da Universidade de Lisboa, Portugal.
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36
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Pin E, Petricoin EF, Cortes N, Bowman TG, Andersson E, Uhlén M, Nilsson P, Caswell SV. Immunoglobulin A Autoreactivity toward Brain Enriched and Apoptosis-Regulating Proteins in Saliva of Athletes after Acute Concussion and Subconcussive Impacts. J Neurotrauma 2021; 38:2373-2383. [PMID: 33858214 DOI: 10.1089/neu.2020.7375] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The diagnosis and management of concussion is hindered by its diverse clinical presentation and assessment tools reliant on subjectively experienced symptoms. The biomechanical threshold of concussion is also not well understood, and asymptomatic concussion or "subconcussive impacts" of variable magnitudes are common in contact sports. Concerns have risen because athletes returning to activity too soon have an increased risk of prolonged recovery or long-term adverse health consequences. To date, little is understood on a molecular level regarding concussion and subconcussive impacts. Recent research suggests that neuroinflammatory mechanisms may serve an important role subsequent to concussion and possibly to subconcussive impacts. These studies suggest that autoantibodies may be a valuable tool for detection of acute concussion and monitoring for changes caused by cumulative exposure to subconcussive impacts. Hence, we aimed to profile the immunoglobulin (Ig)A autoantibody repertoire in saliva by screening a unique sport-related head trauma biobank. Saliva samples (n = 167) were donated by male and female participants enrolled in either the concussion (24-48 h post-injury) or subconcussion (non-concussed participants having moderate or high cumulative subconcussive impact exposure) cohorts. Study design included discovery and verification phases. Discovery aimed to identify new candidate autoimmune targets of IgA. Verification tested whether concussion and subconcussion cohorts increased IgA reactivity and whether cohorts showed similarities. The results show a significant increase in the prevalence of IgA toward protein fragments representing 5-hydroxytryptamine receptor 1A (HTR1A), serine/arginine repetitive matrix 4 (SRRM4) and FAS (tumor necrosis factor receptor superfamily member 6) after concussion and subconcussion. These results may suggest that concussion and subconcussion induce similar physiological effects, especially in terms of immune response. Our study demonstrates that saliva is a potential biofluid for autoantibody detection in concussion and subconcussion. After rigorous confirmation in much larger independent study sets, a validated salivary autoantibody assay could provide a non-subjective quantitative means of assessing concussive and subconcussive events.
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Affiliation(s)
- Elisa Pin
- Division of Affinity Proteomics, Department of Protein Science, Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden
| | - Emanuel F Petricoin
- Center for Applied Proteomics and Molecular Medicine, School of Kinesiology, George Mason University, Manassas, Virginia, USA.,Institute for BioHealth Innovation, and School of Kinesiology, George Mason University, Manassas, Virginia, USA
| | - Nelson Cortes
- Institute for BioHealth Innovation, and School of Kinesiology, George Mason University, Manassas, Virginia, USA.,Sports Medicine Assessment Research and Testing Laboratory, School of Kinesiology, George Mason University, Manassas, Virginia, USA
| | - Thomas G Bowman
- Department of Athletic Training, University of Lynchburg, Lynchburg, Virginia, USA
| | - Eni Andersson
- Division of Affinity Proteomics, Department of Protein Science, Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden
| | - Mathias Uhlén
- Division of Systems Biology, Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden
| | - Peter Nilsson
- Division of Affinity Proteomics, Department of Protein Science, Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden
| | - Shane V Caswell
- Institute for BioHealth Innovation, and School of Kinesiology, George Mason University, Manassas, Virginia, USA.,Sports Medicine Assessment Research and Testing Laboratory, School of Kinesiology, George Mason University, Manassas, Virginia, USA
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37
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Jafari A, Babajani A, Rezaei-Tavirani M. Multiple Sclerosis Biomarker Discoveries by Proteomics and Metabolomics Approaches. Biomark Insights 2021; 16:11772719211013352. [PMID: 34017167 PMCID: PMC8114757 DOI: 10.1177/11772719211013352] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 04/05/2021] [Indexed: 12/22/2022] Open
Abstract
Multiple sclerosis (MS) is an autoimmune inflammatory disorder of the central nervous system (CNS) resulting in demyelination and axonal loss in the brain and spinal cord. The precise pathogenesis and etiology of this complex disease are still a mystery. Despite many studies that have been aimed to identify biomarkers, no protein marker has yet been approved for MS. There is urgently needed for biomarkers, which could clarify pathology, monitor disease progression, response to treatment, and prognosis in MS. Proteomics and metabolomics analysis are powerful tools to identify putative and novel candidate biomarkers. Different human compartments analysis using proteomics, metabolomics, and bioinformatics approaches has generated new information for further clarification of MS pathology, elucidating the mechanisms of the disease, finding new targets, and monitoring treatment response. Overall, omics approaches can develop different therapeutic and diagnostic aspects of complex disorders such as multiple sclerosis, from biomarker discovery to personalized medicine.
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Affiliation(s)
- Ameneh Jafari
- Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Amirhesam Babajani
- Department of Pharmacology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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38
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Li S, Song G, Bai Y, Song N, Zhao J, Liu J, Hu C. Applications of Protein Microarrays in Biomarker Discovery for Autoimmune Diseases. Front Immunol 2021; 12:645632. [PMID: 34012435 PMCID: PMC8126629 DOI: 10.3389/fimmu.2021.645632] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 04/13/2021] [Indexed: 01/18/2023] Open
Abstract
Dysregulated autoantibodies and cytokines were deemed to provide important cues for potential illnesses, such as various carcinomas and autoimmune diseases. Increasing biotechnological approaches have been applied to screen and identify the specific alterations of these biomolecules as distinctive biomarkers in diseases, especially autoimmune diseases. As a versatile and robust platform, protein microarray technology allows researchers to easily profile dysregulated autoantibodies and cytokines associated with autoimmune diseases using various biological specimens, mainly serum samples. Here, we summarize the applications of protein microarrays in biomarker discovery for autoimmune diseases. In addition, the key issues in the process of using this approach are presented for improving future studies.
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Affiliation(s)
- Siting Li
- Department of Rheumatology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Key Laboratory of Rheumatology & Clinical Immunology, Ministry of Education, Beijing, China.,Department of Rheumatology, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Beijing, China
| | - Guang Song
- Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Yina Bai
- Department of Rheumatology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Key Laboratory of Rheumatology & Clinical Immunology, Ministry of Education, Beijing, China.,Department of Rheumatology, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Beijing, China
| | - Ning Song
- Department of Rheumatology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Key Laboratory of Rheumatology & Clinical Immunology, Ministry of Education, Beijing, China.,Department of Rheumatology, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Beijing, China
| | - Jiuliang Zhao
- Department of Rheumatology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Key Laboratory of Rheumatology & Clinical Immunology, Ministry of Education, Beijing, China.,Department of Rheumatology, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Beijing, China
| | - Jian Liu
- Department of Rheumatology, Aerospace Center Hospital, Aerospace, Clinical Medical College, Peking University, Beijing, China
| | - Chaojun Hu
- Department of Rheumatology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Key Laboratory of Rheumatology & Clinical Immunology, Ministry of Education, Beijing, China.,Department of Rheumatology, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Beijing, China
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39
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Arunachalam PS, Scott MKD, Hagan T, Li C, Feng Y, Wimmers F, Grigoryan L, Trisal M, Edara VV, Lai L, Chang SE, Feng A, Dhingra S, Shah M, Lee AS, Chinthrajah S, Sindher T, Mallajosyula V, Gao F, Sigal N, Kowli S, Gupta S, Pellegrini K, Tharp G, Maysel-Auslender S, Bosinger S, Maecker HT, Boyd SD, Davis MM, Utz PJ, Suthar MS, Khatri P, Nadeau KC, Pulendran B. Systems biological assessment of human immunity to BNT162b2 mRNA vaccination. RESEARCH SQUARE 2021:rs.3.rs-438662. [PMID: 34013244 PMCID: PMC8132234 DOI: 10.21203/rs.3.rs-438662/v1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
The emergency use authorization of two COVID-19 mRNA vaccines in less than a year since the emergence of SARS-CoV-2, represents a landmark in vaccinology1,2. Yet, how mRNA vaccines stimulate the immune system to elicit protective immune responses is unknown. Here we used a systems biological approach to comprehensively profile the innate and adaptive immune responses in 56 healthy volunteers vaccinated with the Pfizer-BioNTech mRNA vaccine. Vaccination resulted in robust production of neutralizing antibodies (nAbs) against the parent strain and the variant of concern, B.1.351, but no induction of autoantibodies, and significant increases in antigen-specific polyfunctional CD4 and CD8 T cells after the second dose. The innate response induced within the first 2 days of booster vaccination was profoundly increased, relative to the response at corresponding times after priming. Thus, there was a striking increase in the: (i) frequency of CD14+CD16+ inflammatory monocytes; (ii) concentration of IFN- y in the plasma, which correlated with enhanced pSTAT3 and pSTAT1 levels in monocytes and T cells; and (iii) transcriptional signatures of innate responses characteristic of antiviral vaccine responses against pandemic influenza, HIV and Ebola, within 2 days following booster vaccination compared to primary vaccination. Consistent with these observations, single-cell transcriptomics analysis of 242,479 leukocytes demonstrated a ~100-fold increase in the frequency of a myeloid cluster, enriched in a signature of interferon-response transcription factors (TFs) and reduced in AP-1 TFs, one day after secondary immunization, at day 21. Finally, we delineated distinct molecular pathways of innate activation that correlate with CD8 T cell and nAb responses and identified an early monocyte-related signature that was associated with the breadth of the nAb response against the B1.351 variant strain. Collectively, these data provide insights into the immune responses induced by mRNA vaccines and demonstrate their capacity to stimulate an enhanced innate response following booster immunization.
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Affiliation(s)
- Prabhu S. Arunachalam
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Madeleine K. D. Scott
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Center for Biomedical Informatics, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Thomas Hagan
- Division of Infectious Diseases, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Chunfeng Li
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Yupeng Feng
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Florian Wimmers
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Lilit Grigoryan
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Meera Trisal
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | | | - Lilin Lai
- Yerkes National Primate Research Center, Atlanta, Georgia, USA
| | - Sarah Esther Chang
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA, USA
| | - Allan Feng
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA, USA
| | - Shaurya Dhingra
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA, USA
| | - Mihir Shah
- Sean N. Parker Center for Allergy & Asthma Research, Stanford, CA, USA
| | - Allie Skye Lee
- Sean N. Parker Center for Allergy & Asthma Research, Stanford, CA, USA
| | | | - Tina Sindher
- Sean N. Parker Center for Allergy & Asthma Research, Stanford, CA, USA
| | - Vamsee Mallajosyula
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Fei Gao
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Natalia Sigal
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Sangeeta Kowli
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Sheena Gupta
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | | | - Gregory Tharp
- Yerkes National Primate Research Center, Atlanta, Georgia, USA
| | - Sofia Maysel-Auslender
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
| | - Steven Bosinger
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Holden T. Maecker
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Scott D. Boyd
- Sean N. Parker Center for Allergy & Asthma Research, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Mark M. Davis
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Paul J. Utz
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA, USA
| | - Mehul S. Suthar
- Yerkes National Primate Research Center, Atlanta, Georgia, USA
| | - Purvesh Khatri
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Center for Biomedical Informatics, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Kari C. Nadeau
- Sean N. Parker Center for Allergy & Asthma Research, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, Stanford, CA, USA
| | - Bali Pulendran
- Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
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ANO7: Insights into topology, function, and potential applications as a biomarker and immunotherapy target. Tissue Cell 2021; 72:101546. [PMID: 33940566 DOI: 10.1016/j.tice.2021.101546] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Revised: 03/21/2021] [Accepted: 04/11/2021] [Indexed: 01/01/2023]
Abstract
Anoctamin 7 (ANO7) is a member of the transmembrane protein TMEM16 family. It has a conservative topology similar to other members in this family, such as the typical eight-transmembrane domain, but it also has unique features. Although the ion channel role of ANO7 has been well accepted, evolutionary analyses and relevant studies suggest that ANO7 may be a multi-facet protein in function. Studies have shown that ANO7 may also function as a scramblase. ANO7 is highly expressed in prostate cancer as well as normal prostate tissues. A considerable amount of evidence has confirmed that ANO7 is associated with human physiology and pathology, particularly with the development of prostate cancer, which makes ANO7 a good candidate as a diagnostic and prognostic biomarker. In addition, ANO7 may be a potential target for prostate cancer immunotherapy. Antibody-based or T cell-mediated immunotherapies against prostate cancer by targeting ANO7 have been highly anticipated. ANO7 may also correlate with several other types of cancers or diseases, where further studies are warranted.
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Just D, Rasmusson AJ, Nilsson P, Noreland M, Malmström E, Brodin P, Månberg A, Cunningham JL. Autoantibodies against the C-terminus of Lipopolysaccharide binding protein are elevated in young adults with psychiatric disease. Psychoneuroendocrinology 2021; 126:105162. [PMID: 33578084 DOI: 10.1016/j.psyneuen.2021.105162] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 02/01/2021] [Accepted: 02/01/2021] [Indexed: 12/15/2022]
Abstract
Growing evidence implies interactions between infections, the immune system and vulnerability for psychiatric disease. This study applies an affinity proteomic-based method to investigate potential disease associated autoantibody signatures in serum from patients from the "Young Adults" section of the Department of General Psychiatry at Uppsala University Hospital (n = 395) and population-based controls (n = 102). We found serum levels of antibodies against Lipopolysaccharide Binding Protein (LBP), a protein that is important for mediating innate immune responses involving the toll-like receptor-4 (TLR-4), to be higher in patients compared to controls (Mann Whitney U-test p = 5.248 × 10-10). The patients were divided into three groups based on their relative levels of autoantibodies against LBP. The distribution of autism spectra disorders (p = 2.0 × 10-4) and hospital care for an infection as adults (p = 0.036) differed between the anti-LBP groups, with low incidence in the group of patients with the highest levels of anti-LBP who were diagnosed with primarily affective and anxiety disorders. In a sub-group analysis, the controls who screened positive for current or previous psychiatric diagnosis (n = 20) had higher anti-LBP compared to non-psychiatric controls with negative screening for psychiatric disorders (Mann Whitney U-test p = 0.006). Inflammatory markers were found to differ across anti-LBP groups and several pro-inflammatory markers, including IL-1β, were low in patients with high anti-LBP and serum LBP levels were lowest in patients with the highest levels of antibodies against LBP (p = 3.5 × 10-5). A cell-based model showed that polyclonal rabbit anti-LBP, obtained through purification via the same protein fragment used in the initial autoantibody analysis, could interfere with LBP signaling since addition of anti-LBP to the assay reduced both IL-1β and IL-6 release from activated monocytes in response to LBP and LPS (p = 0.0001 and p = 0.02). This novel finding of antibodies against LBP, where high levels were only found in young adults with psychiatric disease, merits further study. Our results suggest that these antibodies may have relevance for TLR4 based immune responses and vulnerability for both infection and psychiatric disorders.
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Affiliation(s)
- David Just
- Department of Neuroscience, Psychiatry, Uppsala University, Uppsala University Hospital, Entrance 10, Floor 3B, 751 85 Uppsala, Sweden
| | - Annica J Rasmusson
- Department of Neuroscience, Psychiatry, Uppsala University, Uppsala University Hospital, Entrance 10, Floor 3B, 751 85 Uppsala, Sweden
| | - Peter Nilsson
- Department of Protein Science, Affinity Proteomics, Science for life laboratory, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Maria Noreland
- Department of Neuroscience, Psychiatry, Uppsala University, Uppsala University Hospital, Entrance 10, Floor 3B, 751 85 Uppsala, Sweden
| | - Emma Malmström
- Department of Neuroscience, Psychiatry, Uppsala University, Uppsala University Hospital, Entrance 10, Floor 3B, 751 85 Uppsala, Sweden
| | - Petter Brodin
- Science for Life Laboratory, Department of Women's and Children's Health, Karolinska Institute, Sweden; Department of Pediatric Rheumatology, Karolinska University Hospital, Sweden
| | - Anna Månberg
- Department of Protein Science, Affinity Proteomics, Science for life laboratory, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Janet L Cunningham
- Department of Neuroscience, Psychiatry, Uppsala University, Uppsala University Hospital, Entrance 10, Floor 3B, 751 85 Uppsala, Sweden.
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Lutterotti A, Hayward-Koennecke H, Sospedra M, Martin R. Antigen-Specific Immune Tolerance in Multiple Sclerosis-Promising Approaches and How to Bring Them to Patients. Front Immunol 2021; 12:640935. [PMID: 33828551 PMCID: PMC8019937 DOI: 10.3389/fimmu.2021.640935] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Accepted: 02/26/2021] [Indexed: 01/28/2023] Open
Abstract
Antigen-specific tolerance induction aims at treating multiple sclerosis (MS) at the root of its pathogenesis and has the prospect of personalization. Several promising tolerization approaches using different technologies and modes of action have already advanced to clinical testing. The prerequisites for successful tolerance induction include the knowledge of target antigens, core pathomechanisms, and how to pursue a clinical development path that is distinct from conventional drug development. Key aspects including patient selection, outcome measures, demonstrating the mechanisms of action as well as the positioning in the rapidly growing spectrum of MS treatments have to be considered to bring this therapy to patients.
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Affiliation(s)
- Andreas Lutterotti
- Neuroimmunology and MS Research Section, Neurology Clinic, University Hospital Zurich & University of Zurich, Zurich, Switzerland
| | - Helen Hayward-Koennecke
- Neuroimmunology and MS Research Section, Neurology Clinic, University Hospital Zurich & University of Zurich, Zurich, Switzerland
| | - Mireia Sospedra
- Neuroimmunology and MS Research Section, Neurology Clinic, University Hospital Zurich & University of Zurich, Zurich, Switzerland
| | - Roland Martin
- Neuroimmunology and MS Research Section, Neurology Clinic, University Hospital Zurich & University of Zurich, Zurich, Switzerland
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Chang SE, Feng A, Meng W, Apostolidis SA, Mack E, Artandi M, Barman L, Bennett K, Chakraborty S, Chang I, Cheung P, Chinthrajah S, Dhingra S, Do E, Finck A, Gaano A, Geßner R, Giannini HM, Gonzalez J, Greib S, Gündisch M, Hsu AR, Kuo A, Manohar M, Mao R, Neeli I, Neubauer A, Oniyide O, Powell AE, Puri R, Renz H, Schapiro JM, Weidenbacher PA, Wittman R, Ahuja N, Chung HR, Jagannathan P, James J, Kim PS, Meyer NJ, Nadeau K, Radic M, Robinson WH, Singh U, Wang TT, Wherry EJ, Skevaki C, Prak ETL, Utz PJ. New-Onset IgG Autoantibodies in Hospitalized Patients with COVID-19. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2021. [PMID: 33532787 DOI: 10.1101/2021.01.27.21250559] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Coronavirus Disease 2019 (COVID-19), caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), is associated with a wide range of clinical manifestations, including autoimmune features and autoantibody production. We developed three different protein arrays to measure hallmark IgG autoantibodies associated with Connective Tissue Diseases (CTDs), Anti-Cytokine Antibodies (ACA), and anti-viral antibody responses in 147 hospitalized COVID-19 patients in three different centers. Autoantibodies were identified in approximately 50% of patients, but in <15% of healthy controls. When present, autoantibodies largely targeted autoantigens associated with rare disorders such as myositis, systemic sclerosis and CTD overlap syndromes. Anti-nuclear antibodies (ANA) were observed in ∼25% of patients. Patients with autoantibodies tended to demonstrate one or a few specificities whereas ACA were even more prevalent, and patients often had antibodies to multiple cytokines. Rare patients were identified with IgG antibodies against angiotensin converting enzyme-2 (ACE-2). A subset of autoantibodies and ACA developed de novo following SARS-CoV-2 infection while others were transient. Autoantibodies tracked with longitudinal development of IgG antibodies that recognized SARS-CoV-2 structural proteins such as S1, S2, M, N and a subset of non-structural proteins, but not proteins from influenza, seasonal coronaviruses or other pathogenic viruses. COVID-19 patients with one or more autoantibodies tended to have higher levels of antibodies against SARS-CoV-2 Nonstructural Protein 1 (NSP1) and Methyltransferase (ME). We conclude that SARS-CoV-2 causes development of new-onset IgG autoantibodies in a significant proportion of hospitalized COVID-19 patients and are positively correlated with immune responses to SARS-CoV-2 proteins.
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Olsson T. Epstein Barr virus infection and immune defense related to HLA-DR15: consequences for multiple sclerosis. Eur J Immunol 2020; 51:56-59. [PMID: 33350470 PMCID: PMC7839707 DOI: 10.1002/eji.202049030] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 11/16/2020] [Accepted: 12/01/2020] [Indexed: 12/19/2022]
Abstract
MS is a multifactorial disease in which a series of genetic and non‐genetic, environmental factors plays a role in its etiology. In particular, HLA class II alleles, mainly HLADRB1*15:01 (HLA‐DR15), increase the risk for this disease. Out of several environmental factors, and with regard to infections, EBV remains to be a strong candidate, and may synergize with HLA‐DR15 thus increasing the risk for MS. In this issue of the European Journal of Immunology, Zdimerova et al. present highly interesting experimental data using EBV infection in immune‐deficient mice engrafted with human immune cells, either HLA‐DR15+ or HLA‐DRB1*04:01 (HLA DR4), here after denoted as HLA‐DR15−. As a result of EBV infection, the viral load and CD8+ cell expansion were conspicuously higher in mice engrafted with HLA‐DR15+ compared to HLA‐DR15− mice; and myelin basic protein specific T cells emerged in mice engrafted with HLA‐DR15 bearing cells. This study sheds light on how EBV and the class II DR15 haplotype may jointly predispose and synergize in the etiology of MS.
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Affiliation(s)
- Tomas Olsson
- Neuroimmunology Unit, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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Houen G, Trier NH, Frederiksen JL. Epstein-Barr Virus and Multiple Sclerosis. Front Immunol 2020; 11:587078. [PMID: 33391262 PMCID: PMC7773893 DOI: 10.3389/fimmu.2020.587078] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Accepted: 11/18/2020] [Indexed: 12/11/2022] Open
Abstract
Multiple sclerosis (MS) is a neurologic disease affecting myelinated nerves in the central nervous system (CNS). The disease often debuts as a clinically isolated syndrome, e.g., optic neuritis (ON), which later develops into relapsing-remitting (RR) MS, with temporal attacks or primary progressive (PP) MS. Characteristic features of MS are inflammatory foci in the CNS and intrathecal synthesis of immunoglobulins (Igs), measured as an IgG index, oligoclonal bands (OCBs), or specific antibody indexes. Major predisposing factors for MS are certain tissue types (e.g., HLA DRB1*15:01), vitamin D deficiency, smoking, obesity, and infection with Epstein-Barr virus (EBV). Many of the clinical signs of MS described above can be explained by chronic/recurrent EBV infection and current models of EBV involvement suggest that RRMS may be caused by repeated entry of EBV-transformed B cells to the CNS in connection with attacks, while PPMS may be caused by more chronic activity of EBV-transformed B cells in the CNS. In line with the model of EBV's role in MS, new treatments based on monoclonal antibodies (MAbs) targeting B cells have shown good efficacy in clinical trials both for RRMS and PPMS, while MAbs inhibiting B cell mobilization and entry to the CNS have shown efficacy in RRMS. Thus, these agents, which are now first line therapy in many patients, may be hypothesized to function by counteracting a chronic EBV infection.
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Affiliation(s)
- Gunnar Houen
- Institute of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
- Department of Neurology, Rigshospitalet, Glostrup, Denmark
| | | | - Jette Lautrup Frederiksen
- Department of Neurology, Rigshospitalet, Glostrup, Denmark
- Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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Just D, Månberg A, Mitsios N, Stockmeier CA, Rajkowska G, Uhlén M, Mulder J, Feuk L, Cunningham JL, Nilsson P, Carlström EL. Exploring autoantibody signatures in brain tissue from patients with severe mental illness. Transl Psychiatry 2020; 10:401. [PMID: 33208725 PMCID: PMC7676257 DOI: 10.1038/s41398-020-01079-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 09/20/2020] [Accepted: 10/06/2020] [Indexed: 01/17/2023] Open
Abstract
In recent years, studies have shown higher prevalence of autoantibodies in patients with schizophrenia compared to healthy individuals. This study applies an untargeted and a targeted affinity proteomics approach to explore and characterize the autoantibody repertoire in brain tissues from 73 subjects diagnosed with schizophrenia and 52 control subjects with no psychiatric or neurological disorders. Selected brain tissue lysates were first explored for IgG reactivity on planar microarrays composed of 11,520 protein fragments representing 10,820 unique proteins. Based on these results of ours and other previous studies of autoantibodies related to psychosis, we selected 226 fragments with an average length of 80 amino acids, representing 127 unique proteins. Tissue-based analysis of IgG reactivities using antigen suspension bead arrays was performed in a multiplex and parallel fashion for all 125 subjects. Among the detected autoantigens, higher IgG reactivity in subjects with schizophrenia, as compared to psychiatrically healthy subjects, was found against the glutamate ionotropic receptor NMDA type subunit 2D (anti-GluN2D). In a separate cohort with serum samples from 395 young adults with a wider spectrum of psychiatric disorders, higher levels of serum autoantibodies targeting GluN2D were found when compared to 102 control individuals. By further validating GluN2D and additional potential autoantigens, we will seek insights into how these are associated with severe mental illnesses.
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Affiliation(s)
- David Just
- Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden
- Department of Neuroscience, Psychiatry - Uppsala University, Uppsala, Sweden
| | - Anna Månberg
- Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden
| | - Nicholas Mitsios
- Department of Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Craig A Stockmeier
- Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS, USA
| | - Grazyna Rajkowska
- Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS, USA
| | - Mathias Uhlén
- Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden
- Department of Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Jan Mulder
- Department of Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Lars Feuk
- Science for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Janet L Cunningham
- Department of Neuroscience, Psychiatry - Uppsala University, Uppsala, Sweden
| | - Peter Nilsson
- Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden.
| | - Eva Lindholm Carlström
- Science for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
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Association of serum anti-centromere protein F antibodies with clinical response to infliximab in patients with rheumatoid arthritis: A prospective study. Semin Arthritis Rheum 2020; 50:1101-1108. [PMID: 32920323 DOI: 10.1016/j.semarthrit.2020.06.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 06/11/2020] [Accepted: 06/22/2020] [Indexed: 11/23/2022]
Abstract
BACKGROUND One-third of rheumatoid arthritis (RA) patients demonstrate no clinical improvement after receiving tumor necrosis factor inhibitors (TNFi). The presence of serum autoantibodies is a hallmark in RA and may provide information on future response to treatment. The aim of this prospective study was to search for novel serum autoantibodies useful to predict clinical response to TNFi. METHODS The autoantibody repertoire was profiled on RA patients treated with TNFi as a first line of biologic therapy (N = 185), who were recruited in three independent cohorts. The presence and levels of autoantibodies in serum at baseline were analysed in association with the clinical response after 24 weeks follow-up. A multiplex bead array built using antigens selected from an initial untargeted screening was employed to identify the autoantibodies on a discovery cohort (N = 50) and to verify and validate the results on verification (N = 61) and validation (N = 74) cohorts. Non-parametric tests, meta-analysis and Receiver Operating Curves (ROC) were performed in order to assess the clinical relevance of the observed findings. RESULTS Novel autoantibodies were associated with the clinical response to TNFi, showing different reactivity profiles among the different TNFi. The baseline levels of IgG antibodies against Centromere protein F (CENPF), a protein related to cell proliferation, were significantly (p<0.05) increased in responders (N = 111) to infliximab (IFX) compared to non-responders (N = 44). The addition of anti-CENPF antibodies to demographic and clinical variables (age, sex, DAS28-ESR) resulted in the best model to discriminate responders, showing an area under the curve (AUC) of 0.756 (95% CI [0.639-0.874], p = 0.001). A further meta-analysis demonstrated the significant association of anti-CENPF levels with the patient's subsequent response to IFX, showing a standardized mean difference (SMD) of -0.65 (95% CI [-1.02;-0. 27], p = 0.018). CONCLUSIONS Our study reveals for the first time the potential of circulating anti-CENPF antibodies to predict the clinical response to IFX before starting the treatment. This finding could be potentially useful to guide therapeutic decisions and may lead to further studies focusing on the role of CENPF on RA pathology.
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Moritz CP, Paul S, Stoevesandt O, Tholance Y, Camdessanché JP, Antoine JC. Autoantigenomics: Holistic characterization of autoantigen repertoires for a better understanding of autoimmune diseases. Autoimmun Rev 2020; 19:102450. [DOI: 10.1016/j.autrev.2019.102450] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Accepted: 10/16/2019] [Indexed: 12/13/2022]
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Jakimovski D, Weinstock-Guttman B, Ramanathan M, Dwyer MG, Zivadinov R. Infections, Vaccines and Autoimmunity: A Multiple Sclerosis Perspective. Vaccines (Basel) 2020; 8:vaccines8010050. [PMID: 32012815 PMCID: PMC7157658 DOI: 10.3390/vaccines8010050] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Revised: 01/21/2020] [Accepted: 01/24/2020] [Indexed: 12/13/2022] Open
Abstract
Background: Multiple sclerosis (MS) is a chronic neuroinflammatory and neurodegenerative disease that is associated with multiple environmental factors. Among suspected susceptibility events, studies have questioned the potential role of overt viral and bacterial infections, including the Epstein Bar virus (EBV) and human endogenous retroviruses (HERV). Furthermore, the fast development of immunomodulatory therapies further questions the efficacy of the standard immunization policies in MS patients. Topics reviewed: This narrative review will discuss the potential interplay between viral and bacterial infections and their treatment on MS susceptibility and disease progression. In addition, the review specifically discusses the interactions between MS pathophysiology and vaccination for hepatitis B, influenza, human papillomavirus, diphtheria, pertussis, and tetanus (DTP), and Bacillus Calmette-Guerin (BCG). Data regarding potential interaction between MS disease modifying treatment (DMT) and vaccine effectiveness is also reviewed. Moreover, HERV-targeted therapies such as GNbAC1 (temelimab), EBV-based vaccines for treatment of MS, and the current state regarding the development of T-cell and DNA vaccination are discussed. Lastly, a reviewing commentary on the recent 2019 American Academy of Neurology (AAN) practice recommendations regarding immunization and vaccine-preventable infections in the settings of MS is provided. Conclusion: There is currently no sufficient evidence to support associations between standard vaccination policies and increased risk of MS. MS patients treated with immunomodulatory therapies may have a lower benefit from viral and bacterial vaccination. Despite their historical underperformance, new efforts in creating MS-based vaccines are currently ongoing. MS vaccination programs follow the set back and slow recovery which is widely seen in other fields of medicine.
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Affiliation(s)
- Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, University at Buffalo, State University of New York, Buffalo, NY 14203, USA
- Correspondence:
| | - Bianca Weinstock-Guttman
- Jacobs MS Center, Department of Neurology, University at Buffalo, State University of New York, Buffalo, NY 14203, USA
| | - Murali Ramanathan
- School of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14214, USA
| | - Michael G. Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, University at Buffalo, State University of New York, Buffalo, NY 14203, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, University at Buffalo, State University of New York, Buffalo, NY 14203, USA
- Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY 14203, USA
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Mohammed EM. Environmental Influencers, MicroRNA, and Multiple Sclerosis. J Cent Nerv Syst Dis 2020; 12:1179573519894955. [PMID: 32009827 PMCID: PMC6971968 DOI: 10.1177/1179573519894955] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Accepted: 11/25/2019] [Indexed: 02/06/2023] Open
Abstract
Multiple sclerosis (MS) is a complex neurological disorder characterized by an aberrant immune system that affects patients' quality of life. Several environmental factors have previously been proposed to associate with MS pathophysiology, including vitamin D deficiency, Epstein-Barr virus (EBV) infection, and cigarette smoking. These factors may influence cellular molecularity, interfering with cellular proliferation, differentiation, and apoptosis. This review argues that small noncoding RNA named microRNA (miRNA) influences these factors' mode of action. Dysregulation in the miRNAs network may deeply impact cellular hemostasis, thereby possibly resulting in MS pathogenicity. This article represents a literature review and an author's theory of how environmental factors may induce dysregulations in the miRNAs network, which could ultimately affect MS pathogenicity.
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