1
|
Hu F, Li X, Liu K, Li Y, Xie Y, Wei C, Liu S, Song J, Wang P, Shi L, Li C, Li J, Xu L, Xue J, Zheng X, Bai M, Fang X, Jin X, Cao L, Hao P, He J, Wang J, Zhang C, Li Z. Rheumatoid arthritis patients harbour aberrant enteric bacteriophages with autoimmunity-provoking potential: a paired sibling study. Ann Rheum Dis 2024:ard-2024-225564. [PMID: 39084885 DOI: 10.1136/ard-2024-225564] [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: 01/22/2024] [Accepted: 07/15/2024] [Indexed: 08/02/2024]
Abstract
OBJECTIVES Viruses have been considered as important participants in the development of rheumatoid arthritis (RA). However, the profile of enteric virome and its role in RA remains elusive. This study aimed to investigate the atlas and involvement of virome in RA pathogenesis. METHODS Faecal samples from 30 pairs of RA and healthy siblings that minimise genetic interferences were collected for metagenomic sequencing. The α and β diversity of the virome and the virome-bacteriome interaction were analysed. The differential bacteriophages were identified, and their correlations with clinical and immunological features of RA were analysed. The potential involvement of these differential bacteriophages in RA pathogenesis was further investigated by auxiliary metabolic gene annotation and molecular mimicry study. The responses of CD4+ T cells and B cells to the mimotopes derived from the differential bacteriophages were systemically studied. RESULTS The composition of the enteric bacteriophageome was distorted in RA. The differentially presented bacteriophages correlated with the immunological features of RA, including anti-CCP autoantibody and HLA-DR shared epitope. Intriguingly, the glycerolipid and purine metabolic genes were highly active in the bacteriophages from RA. Moreover, peptides of RA-enriched phages, in particular Prevotella phage and Oscillibacter phage could provoke the autoimmune responses in CD4+ T cells and plasma cells via molecular mimicry of the disease-associated autoantigen epitopes, especially those of Bip. CONCLUSIONS This study provides new insights into enteric bacteriophageome in RA development. In particular, the aberrant bacteriophages demonstrated autoimmunity-provoking potential that would promote the occurrence of the disease.
Collapse
Affiliation(s)
- Fanlei Hu
- Department of Rheumatology and Immunology, Peking University People's Hospital & Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China
- State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, China
- Department of Integration of Chinese and Western Medicine, School of Basic Medical Sciences, Peking University, Beijing, China
| | - Xin Li
- Department of Rheumatology and Immunology, Peking University People's Hospital & Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
| | - Kai Liu
- Key Laboratory of Molecular Virology and Immunology, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, University of Chinese Academy of Sciences, shanghai, China
- Department of Clinical Laboratory, Qingpu Branch of Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yanpeng Li
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Yang Xie
- Department of Rheumatology and Immunology, Peking University People's Hospital & Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China
| | - Chaonan Wei
- Department of Rheumatology and Immunology, Peking University People's Hospital & Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China
| | - Shuyan Liu
- Department of Rheumatology and Immunology, Peking University People's Hospital & Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China
| | - Jing Song
- Department of Rheumatology and Immunology, Peking University People's Hospital & Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
| | - Ping Wang
- Department of Rheumatology and Immunology, Peking University People's Hospital & Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China
| | - Lianjie Shi
- Department of Rheumatology and Immunology, Peking University Shougang Hospital, Beijing, China
| | - Chun Li
- Department of Rheumatology and Immunology, Peking University People's Hospital & Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China
| | - Jing Li
- Department of Rheumatology and Immunology, Peking University People's Hospital & Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China
| | - Liling Xu
- Department of Rheumatology and Immunology, Peking University People's Hospital & Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China
| | - Jimeng Xue
- Department of Rheumatology and Immunology, Peking University People's Hospital & Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China
| | - Xi Zheng
- Department of Rheumatology and Immunology, Peking University People's Hospital & Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
| | - Mingxin Bai
- Department of Rheumatology and Immunology, Peking University People's Hospital & Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China
| | - Xiangyu Fang
- Department of Rheumatology and Immunology, Peking University People's Hospital & Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China
| | - Xu Jin
- Department of Rheumatology and Immunology, Peking University People's Hospital & Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
| | - Lulu Cao
- Department of Rheumatology and Immunology, Peking University People's Hospital & Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China
| | - Pei Hao
- Key Laboratory of Molecular Virology and Immunology, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, University of Chinese Academy of Sciences, shanghai, China
| | - Jing He
- Department of Rheumatology and Immunology, Peking University People's Hospital & Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China
| | - Jun Wang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Science, Beijing, China
| | - Chiyu Zhang
- Key Laboratory of Molecular Virology and Immunology, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, University of Chinese Academy of Sciences, shanghai, China
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Zhanguo Li
- Department of Rheumatology and Immunology, Peking University People's Hospital & Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China
- State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, China
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
| |
Collapse
|
2
|
Shanthamallu US, Kilpatrick C, Jones A, Rubin J, Saleh A, Barabási AL, Akmaev VR, Ghiassian SD. A Network-Based Framework to Discover Treatment-Response-Predicting Biomarkers for Complex Diseases. J Mol Diagn 2024:S1525-1578(24)00161-2. [PMID: 39067570 DOI: 10.1016/j.jmoldx.2024.06.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 06/10/2024] [Accepted: 06/26/2024] [Indexed: 07/30/2024] Open
Abstract
Precision medicine's potential to transform complex autoimmune disease treatment is often challenged by limited data availability and inadequate sample size when compared with the number of molecular features found in high-throughput multi-omics data sets. Addressing this issue, the novel framework PRoBeNet (Predictive Response Biomarkers using Network medicine) was developed. ProBeNet operates under the hypothesis that the therapeutic effect of a drug propagates through a protein-protein interaction network to reverse disease states. ProBeNet prioritizes biomarkers by considering the following: i) therapy-targeted proteins, ii) disease-specific molecular signatures, and iii) an underlying network of interactions among cellular components (the human interactome). With ProBeNet, biomarkers were discovered predicting patient responses to both an established autoimmune therapy (infliximab) and an investigational compound (a mitogen-activated protein kinase 3/1 inhibitor). The predictive power of ProBeNet biomarkers was validated with retrospective gene-expression data from patients with ulcerative colitis and rheumatoid arthritis and prospective data from patient-derived tissues from patients with ulcerative colitis and Crohn disease. Machine-learning models using ProBeNet biomarkers significantly outperformed models using either all genes or randomly selected genes, especially when data were limited (<20 samples). These results illustrate the value of ProBeNet for reducing features and for constructing robust machine-learning models when limited data are available. ProBeNet may be used to develop companion and complementary diagnostic assays for complex autoimmune disease therapies, which may help stratify suitable patient subgroups in clinical trials, approve new drugs, and improve patient outcomes.
Collapse
Affiliation(s)
| | - Casey Kilpatrick
- Department of Therapeutics, Scipher Medicine, Waltham, Massachusetts
| | - Alex Jones
- Department of Data Science and Network Medicine, Scipher Medicine, Waltham, Massachusetts
| | | | - Alif Saleh
- Department of Data Science and Network Medicine, Scipher Medicine, Waltham, Massachusetts
| | - Albert-László Barabási
- Maret School, Washington, DC; Center for Complex Network Research, Northeastern University, Boston, Massachusetts; (¶)Dana-Farber Cancer Institute, Harvard University, Boston, Massachusetts
| | - Viatcheslav R Akmaev
- Department of Data Science and Network Medicine, Scipher Medicine, Waltham, Massachusetts
| | - Susan Dina Ghiassian
- Department of Data Science and Network Medicine, Scipher Medicine, Waltham, Massachusetts.
| |
Collapse
|
3
|
Lavie F, Rooney T. Hurdles in new drug development in rheumatic diseases. Joint Bone Spine 2024; 91:105672. [PMID: 38042361 DOI: 10.1016/j.jbspin.2023.105672] [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: 09/08/2023] [Revised: 11/05/2023] [Accepted: 11/14/2023] [Indexed: 12/04/2023]
Abstract
INTRODUCTION Rheumatic diseases are heterogenous conditions with multifactorial underlying physiologic pathogeneses. Despite recent progress in the identification and development of advanced therapies primarily focusing on disrupting the immunological abnormalities that cause these conditions, rheumatic disease management remains challenging in a notable proportion of patients, with many exhibiting uncontrolled or refractory disease activity. New and improved therapies are needed to respond to this treatment gap. However, there are important hurdles that can affect the expedited identification and assessment of new treatments. METHODS We present a review of key hurdles in the development of antirheumatic agents, as well as possible solutions to these obstacles. RESULTS We highlight the challenges presented by incomplete understanding of the complexity of rheumatic disease pathophysiology and the resultant difficulties in the identification, development, and evaluation of new therapies. We further explore the diversity of the underlying disease processes leading to heterogeneity in patient response to treatment, necessitating the re-design of clinical trials of antirheumatic agents to detect efficacy signals and better inform clinical disease management. Finally, emergent strategies and methodologies with potential to improve upon these hurdles are presented. CONCLUSION New and modified study designs and research tools that leverage ongoing advancements in the elucidation of rheumatic disease pathogenesis coupled with progress in methods to mine available data will be instrumental in overcoming current hurdles in antirheumatic drug development.
Collapse
Affiliation(s)
- Frederic Lavie
- The Janssen Pharmaceutical Companies of Johnson & Johnson, 1, rue Camille-Desmoulins, TSA 91003, 92787 Issy-lès-Moulineaux cedex 9, France.
| | - Terence Rooney
- The Janssen Pharmaceutical Companies of Johnson & Johnson, Janssen Research & Development, LLC, Immunology, 1400 McKean Road, Spring House, 19477 PA, USA
| |
Collapse
|
4
|
Zouali M. Engineered immune cells as therapeutics for autoimmune diseases. Trends Biotechnol 2024; 42:842-858. [PMID: 38368169 DOI: 10.1016/j.tibtech.2024.01.006] [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: 10/13/2023] [Revised: 01/23/2024] [Accepted: 01/24/2024] [Indexed: 02/19/2024]
Abstract
Current treatment options for autoimmune disease (AID) are essentially immunosuppressive, inhibiting the inflammatory cascade, without curing the disease. Therapeutic monoclonal antibodies (mAbs) that target B cells showed efficacy, emphasizing the importance of B lymphocytes in autoimmune pathogenesis. Treatments that eliminate more potently B cells would open a new therapeutic era for AID. Immune cells can now be bioengineered to express constructs that enable them to specifically eradicate pathogenic B lymphocytes. Engineered immune cells (EICs) have shown therapeutic promise in both experimental models and in clinical trials in AID. Next-generation platforms are under development to optimize their specificity and improve safety. The profound and durable B cell depletion achieved reinforces the view that this biotherapeutic option holds promise for treating AID.
Collapse
Affiliation(s)
- Moncef Zouali
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan.
| |
Collapse
|
5
|
Moingeon P. Harnessing the power of AI-based models to accelerate drug discovery against immune diseases. Expert Rev Clin Immunol 2024:1-4. [PMID: 38932714 DOI: 10.1080/1744666x.2024.2373915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2024] [Accepted: 06/25/2024] [Indexed: 06/28/2024]
Affiliation(s)
- Philippe Moingeon
- Servier Research Institute, Paris-Saclay University, Gif-sur-Yvette, France
| |
Collapse
|
6
|
Zhou Z, Liu J, Xiong T, Liu Y, Tuan RS, Li ZA. Engineering Innervated Musculoskeletal Tissues for Regenerative Orthopedics and Disease Modeling. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2310614. [PMID: 38200684 DOI: 10.1002/smll.202310614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 12/28/2023] [Indexed: 01/12/2024]
Abstract
Musculoskeletal (MSK) disorders significantly burden patients and society, resulting in high healthcare costs and productivity loss. These disorders are the leading cause of physical disability, and their prevalence is expected to increase as sedentary lifestyles become common and the global population of the elderly increases. Proper innervation is critical to maintaining MSK function, and nerve damage or dysfunction underlies various MSK disorders, underscoring the potential of restoring nerve function in MSK disorder treatment. However, most MSK tissue engineering strategies have overlooked the significance of innervation. This review first expounds upon innervation in the MSK system and its importance in maintaining MSK homeostasis and functions. This will be followed by strategies for engineering MSK tissues that induce post-implantation in situ innervation or are pre-innervated. Subsequently, research progress in modeling MSK disorders using innervated MSK organoids and organs-on-chips (OoCs) is analyzed. Finally, the future development of engineering innervated MSK tissues to treat MSK disorders and recapitulate disease mechanisms is discussed. This review provides valuable insights into the underlying principles, engineering methods, and applications of innervated MSK tissues, paving the way for the development of targeted, efficacious therapies for various MSK conditions.
Collapse
Affiliation(s)
- Zhilong Zhou
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR, P. R. China
| | - Jun Liu
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR, P. R. China
- Center for Neuromusculoskeletal Restorative Medicine, Hong Kong Science Park, Shatin, NT, Hong Kong SAR, P. R. China
| | - Tiandi Xiong
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR, P. R. China
- Center for Neuromusculoskeletal Restorative Medicine, Hong Kong Science Park, Shatin, NT, Hong Kong SAR, P. R. China
| | - Yuwei Liu
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR, P. R. China
- Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, 518000, P. R. China
| | - Rocky S Tuan
- Center for Neuromusculoskeletal Restorative Medicine, Hong Kong Science Park, Shatin, NT, Hong Kong SAR, P. R. China
- School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR, P. R. China
- Institute for Tissue Engineering and Regenerative Medicine, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR, P. R. China
| | - Zhong Alan Li
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR, P. R. China
- Center for Neuromusculoskeletal Restorative Medicine, Hong Kong Science Park, Shatin, NT, Hong Kong SAR, P. R. China
- School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR, P. R. China
- Key Laboratory of Regenerative Medicine, Ministry of Education, School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR, P. R. China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Guangdong, 518057, P. R. China
| |
Collapse
|
7
|
Moingeon P. [Artificial intelligence-driven drug development against autoimmune diseases]. Med Sci (Paris) 2024; 40:414-416. [PMID: 38819275 DOI: 10.1051/medsci/2024055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2024] Open
Affiliation(s)
- Philippe Moingeon
- Institut de recherche Servier, Université Paris-Saclay, Gif-sur-Yvette, France
| |
Collapse
|
8
|
Ghirardi GM, Delrosso CA, Nerviani A, Boutet MA. Molecular portrait of chronic joint diseases: Defining endotypes toward personalized medicine. Joint Bone Spine 2024; 91:105692. [PMID: 38246575 DOI: 10.1016/j.jbspin.2024.105692] [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: 11/15/2023] [Revised: 12/21/2023] [Accepted: 01/03/2024] [Indexed: 01/23/2024]
Abstract
Joint diseases affect hundreds of millions of people worldwide, and their prevalence is constantly increasing. To date, despite recent advances in the development of therapeutic options for most rheumatic conditions, a significant proportion of patients still lack efficient disease management, considerably impacting their quality of life. Through the spectrum of rheumatoid arthritis (RA), psoriatic arthritis (PsA), and osteoarthritis (OA) as quintessential and common rheumatic diseases, this review first provides an overview of their epidemiological and clinical features before exploring how the better definition of clinical phenotypes has helped their clinical management. It then discusses the recent progress in understanding the diversity of endotypes underlying disease phenotypes. Finally, this review highlights the current challenges of implementing molecular endotypes towards the personalized management of RA, PsA and OA patients in the future.
Collapse
Affiliation(s)
- Giulia Maria Ghirardi
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, UK
| | | | - Alessandra Nerviani
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, UK
| | - Marie-Astrid Boutet
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, UK; Nantes Université, Oniris, INSERM, Regenerative Medicine and Skeleton, RMeS, UMR 1229, 44000 Nantes, France.
| |
Collapse
|
9
|
Hannah J, Rodziewicz M, Mehta P, Heenan KM, Ball E, Barratt S, Carty S, Conway R, Cotton CV, Cox S, Crawshaw A, Dawson J, Desai S, Fahim A, Fielding C, Garton M, George PM, Gunawardena H, Kelly C, Khan F, Koduri G, Morris H, Naqvi M, Perry E, Riddell C, Sieiro Santos C, Spencer LG, Chaudhuri N, Nisar MK. The diagnosis and management of systemic autoimmune rheumatic disease-related interstitial lung disease: British Society for Rheumatology guideline scope. Rheumatol Adv Pract 2024; 8:rkae056. [PMID: 38765189 PMCID: PMC11101284 DOI: 10.1093/rap/rkae056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 04/12/2024] [Indexed: 05/21/2024] Open
Abstract
Interstitial lung disease (ILD) is a significant complication of many systemic autoimmune rheumatic diseases (SARDs), although the clinical presentation, severity and outlook may vary widely between individuals. Despite the prevalence, there are no specific guidelines addressing the issue of screening, diagnosis and management of ILD across this diverse group. Guidelines from the ACR and EULAR are expected, but there is a need for UK-specific guidelines that consider the framework of the UK National Health Service, local licensing and funding strategies. This article outlines the intended scope for the British Society for Rheumatology guideline on the diagnosis and management of SARD-ILD developed by the guideline working group. It specifically identifies the SARDs for consideration, alongside the overarching principles for which systematic review will be conducted. Expert consensus will be produced based on the most up-to-date available evidence for inclusion within the final guideline. Key issues to be addressed include recommendations for screening of ILD, identifying the methodology and frequency of monitoring and pharmacological and non-pharmacological management. The guideline will be developed according to methods and processes outlined in Creating Clinical Guidelines: British Society for Rheumatology Protocol version 5.1.
Collapse
Affiliation(s)
- Jennifer Hannah
- Academic Rheumatology, Faculty of Life Sciences and Medicine, King’s College London, London, UK
| | - Mia Rodziewicz
- Centre for Musculoskeletal Research, University of Manchester, Manchester, UK
| | - Puja Mehta
- Centre for Inflammation and Tissue Repair, University College London, London, UK
| | - Kerri-Marie Heenan
- Department of Respiratory Medicine, Northern Health and Social Care Trust, Antrim, UK
| | - Elizabeth Ball
- Department of Rheumatology, Belfast Health and Social Care Trust, Belfast, UK
| | - Shaney Barratt
- Department of Respiratory Medicine, Bristol Medical School, Bristol, UK
| | - Sara Carty
- Department of Rheumatology, Great Western Hospitals NHS Foundation Trust, Swindon, UK
| | - Richard Conway
- Department of Rheumatology, Trinity College Dublin, Dublin, Ireland
| | - Caroline V Cotton
- Department of Rheumatology, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
| | | | - Anjali Crawshaw
- Department of Respiratory Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Julie Dawson
- Department of Rheumatology, St Helens Hospital, Saint Helens, UK
| | - Sujal Desai
- Radiology Department, Royal Brompton Hospital, London, UK
| | - Ahmed Fahim
- Department of Respiratory Medicine, New Cross Hospital, Wolverhampton, UK
| | | | - Mark Garton
- Department of Rheumatology, Royal Shrewsbury Hospital, Shrewsbury, UK
| | - Peter M George
- Department of Respiratory Medicine, Royal Brompton Hospital, London, UK
| | | | - Clive Kelly
- Department of Rheumatology, James Cook University Hospital, Middlesbrough, UK
| | - Fasihul Khan
- Department of Respiratory Medicine, University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Gouri Koduri
- Department of Rheumatology, Southend University Hospital NHS Foundation Trust, Southend-on-Sea, Essex, UK
| | - Helen Morris
- Department of Respiratory Medicine, Wythenshawe Hospital, Manchester, UK
| | - Marium Naqvi
- Department of Respiratory Medicine, Guy’s and St Thomas’ Hospitals NHS Trust, London, UK
| | - Elizabeth Perry
- Department of Rheumatology, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Claire Riddell
- Department of Rheumatology, Belfast Health and Social Care Trust, Belfast, UK
| | | | - Lisa G Spencer
- Department of Respiratory Medicine, Aintree University Hospital, Liverpool, UK
| | | | - Muhammad K Nisar
- Rheumatology Department, Luton, Dunstable University Hospital, Luton, UK
| |
Collapse
|
10
|
Dai Z, Ko T, Fujita K, Nomura S, Uemura Y, Onoue K, Hamano M, Katoh M, Yamada S, Katagiri M, Zhang B, Hatsuse S, Yamada T, Inoue S, Kubota M, Sawami K, Heryed T, Ito M, Amiya E, Hatano M, Takeda N, Morita H, Yamanishi Y, Saito Y, Komuro I. Myocardial DNA Damage Predicts Heart Failure Outcome in Various Underlying Diseases. JACC. HEART FAILURE 2024; 12:648-661. [PMID: 37930291 DOI: 10.1016/j.jchf.2023.09.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 09/27/2023] [Accepted: 09/28/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND Reliable predictors of treatment efficacy in heart failure have been long awaited. DNA damage has been implicated as a cause of heart failure. OBJECTIVES The purpose of this study was to investigate the association of DNA damage in myocardial tissue with treatment response and prognosis of heart failure. METHODS The authors performed immunostaining of DNA damage markers poly(ADP-ribose) (PAR) and γ-H2A.X in endomyocardial biopsy specimens from 175 patients with heart failure with reduced ejection fraction (HFrEF) of various underlying etiologies. They calculated the percentage of nuclei positive for each DNA damage marker (%PAR and %γ-H2A.X). The primary outcome was left ventricular reverse remodeling (LVRR) at 1 year, and the secondary outcome was a composite of cardiovascular death, heart transplantation, and ventricular assist device implantation. RESULTS Patients who did not achieve LVRR after the optimization of medical therapies presented with significantly higher %PAR and %γ-H2A.X. The ROC analysis demonstrated good performance of both %PAR and %γ-H2A.X for predicting LVRR (AUCs: 0.867 and 0.855, respectively). There was a negative correlation between the mean proportion of DNA damage marker-positive nuclei and the probability of LVRR across different underlying diseases. In addition, patients with higher %PAR or %γ-H2A.X had more long-term clinical events (PAR HR: 1.63 [95% CI: 1.31-2.01]; P < 0.001; γ-H2A.X HR: 1.48 [95% CI: 1.27-1.72]; P < 0.001). CONCLUSIONS DNA damage determines the consequences of human heart failure. Assessment of DNA damage is useful to predict treatment efficacy and prognosis of heart failure patients with various underlying etiologies.
Collapse
Affiliation(s)
- Zhehao Dai
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan. https://twitter.com/ZhehaoDai_Cards
| | - Toshiyuki Ko
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan; Department of Therapeutic Strategy for Heart Failure, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Kanna Fujita
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Seitaro Nomura
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan; Department of Frontier Cardiovascular Science, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
| | - Yukari Uemura
- Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Kenji Onoue
- Department of Cardiovascular Medicine, Nara Medical University, Kashihara, Japan
| | - Momoko Hamano
- Department of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Japan
| | - Manami Katoh
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Shintaro Yamada
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Mikako Katagiri
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Bo Zhang
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Satoshi Hatsuse
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Takanobu Yamada
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Shunsuke Inoue
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Masayuki Kubota
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Kosuke Sawami
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Tuolisi Heryed
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Masamichi Ito
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Eisuke Amiya
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan; Department of Therapeutic Strategy for Heart Failure, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Masaru Hatano
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan; Advanced Medical Center for Heart Failure, University of Tokyo Hospital, Tokyo, Japan
| | - Norifumi Takeda
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Hiroyuki Morita
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Yoshihiro Yamanishi
- Department of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Japan; Department of Complex Systems Science, Graduate School of Informatics, Nagoya University, Nagoya, Japan
| | - Yoshihiko Saito
- Department of Cardiovascular Medicine, Nara Medical University, Kashihara, Japan; Nara Prefectural Seiwa Medical Center, Nara Prefectural Hospital Organization, Nara, Japan
| | - Issei Komuro
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan; Department of Frontier Cardiovascular Science, Graduate School of Medicine, University of Tokyo, Tokyo, Japan; International University of Health and Welfare, Tokyo, Japan.
| |
Collapse
|
11
|
Fu H, Guo Y, Fang W, Wang J, Hu P, Shi J. Anti-Acidification and Immune Regulation by Nano-Ceria-Loaded Mg-Al Layered Double Hydroxide for Rheumatoid Arthritis Therapy. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2307094. [PMID: 38064119 PMCID: PMC10853726 DOI: 10.1002/advs.202307094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 11/14/2023] [Indexed: 02/10/2024]
Abstract
Rheumatoid arthritis (RA) is a chronic autoimmune disease featuring an abnormal immune microenvironment and resultant accumulation of hydrogen ions (H+ ) produced by activated osteoclasts (OCs). Currently, clinic RA therapy can hardly achieve sustained or efficient therapeutic outcomes due to the failures in generating sufficient immune modulation and manipulating the accumulation of H+ that deteriorates bone damage. Herein, a highly effective immune modulatory nanocatalytic platform, nanoceria-loaded magnesium aluminum layered double hydroxide (LDH-CeO2 ), is proposed for enhanced immune modulation based on acid neutralization and metal ion inherent bioactivity. Specifically, the mild alkaline LDH initiates significant M2 repolarization of macrophages triggered by the elevated antioxidation effect of CeO2 via neutralizing excessive H+ in RA microenvironment, thus resulting in the efficient recruitment of regulatory T cell (Treg) and suppressions on T helper 17 cell (Th 17) and plasma cells. Moreover, the osteogenic activity is stimulated by the Mg ion released from LDH, thereby promoting the damaged bone healing. The encouraging therapeutic outcomes in adjuvant-induced RA model mice demonstrate the high feasibility of such a therapeutic concept, which provides a novel and efficient RA therapeutic modality by the immune modulatory and bone-repairing effects of inorganic nanocatalytic material.
Collapse
Affiliation(s)
- Hao Fu
- Shanghai Institute of CeramicsChinese Academy of SciencesResearch Unit of Nanocatalytic Medicine in Specific Therapy for Serious DiseaseChinese Academy of Medical Sciences (2021RU012)Shanghai200050P. R. China
| | - Yuedong Guo
- Platform of Nanomedicine TranslationShanghai Tenth People's HospitalMedical School of Tongji University38 Yun‐xin RoadShanghai200435P. R. China
| | - Wenming Fang
- Shanghai Institute of CeramicsChinese Academy of SciencesResearch Unit of Nanocatalytic Medicine in Specific Therapy for Serious DiseaseChinese Academy of Medical Sciences (2021RU012)Shanghai200050P. R. China
| | - Jiaxing Wang
- Department of OrthopaedicsShanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai Jiao Tong UniversityShanghai200233P. R. China
| | - Ping Hu
- Shanghai Institute of CeramicsChinese Academy of SciencesResearch Unit of Nanocatalytic Medicine in Specific Therapy for Serious DiseaseChinese Academy of Medical Sciences (2021RU012)Shanghai200050P. R. China
- Platform of Nanomedicine TranslationShanghai Tenth People's HospitalMedical School of Tongji University38 Yun‐xin RoadShanghai200435P. R. China
| | - Jianlin Shi
- Shanghai Institute of CeramicsChinese Academy of SciencesResearch Unit of Nanocatalytic Medicine in Specific Therapy for Serious DiseaseChinese Academy of Medical Sciences (2021RU012)Shanghai200050P. R. China
- Platform of Nanomedicine TranslationShanghai Tenth People's HospitalMedical School of Tongji University38 Yun‐xin RoadShanghai200435P. R. China
| |
Collapse
|
12
|
López-Domínguez R, Villatoro-García JA, Marañón C, Goldman D, Petri M, Carmona-Sáez P, Alarcón-Riquelme M, Toro-Dominguez D. Immune and molecular landscape behind non-response to Mycophenolate Mofetil and Azathioprine in lupus nephritis therapy. RESEARCH SQUARE 2024:rs.3.rs-3783877. [PMID: 38260685 PMCID: PMC10802741 DOI: 10.21203/rs.3.rs-3783877/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Lupus nephritis (LN) represents one of the most severe complications of systemic lupus erythematosus, leading to end-stage kidney disease in worst cases. Current first-line therapies for LN, including mycophenolate mofetil (MMF) and azathioprine (AZA), fail to induce long-term remission in 60-70% of the patients, evidencing the urgent need to delve into the molecular knowledge-gap behind the non-response to these therapies. A longitudinal cohort of treated LN patients including clinical, cellular and transcriptomic data, was analyzed. Gene-expression signatures behind non-response to different drugs were revealed by differential expression analysis. Drug-specific non-response mechanisms and cell proportion differences were identified. Blood cell subsets mediating non-response were described using single-cell RNASeq data. We show that AZA and MMF non-response implicates different cells and regulatory functions. Mechanistic models were used to suggest add-on therapies to improve their current performance. Our results provide new insights into the molecular mechanisms associated with treatment failures in LN.
Collapse
Affiliation(s)
- Raúl López-Domínguez
- GENYO. Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, PTS Granada
| | - Juan Antonio Villatoro-García
- GENYO. Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, PTS Granada
| | - Concepción Marañón
- Department of Medical Genomics, Center for Genomics and Oncological Research (GENYO)
| | | | | | - Pedro Carmona-Sáez
- Department of Bioinformatics, Center for Genomics and Oncological Research (GENYO)
| | | | - Daniel Toro-Dominguez
- GENYO. Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, PTS Granada
| |
Collapse
|
13
|
Tanaka H, Okada Y, Nakayamada S, Miyazaki Y, Sonehara K, Namba S, Honda S, Shirai Y, Yamamoto K, Kubo S, Ikari K, Harigai M, Sonomoto K, Tanaka Y. Extracting immunological and clinical heterogeneity across autoimmune rheumatic diseases by cohort-wide immunophenotyping. Ann Rheum Dis 2024; 83:242-252. [PMID: 37903543 PMCID: PMC10850648 DOI: 10.1136/ard-2023-224537] [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: 06/09/2023] [Accepted: 09/13/2023] [Indexed: 11/01/2023]
Abstract
OBJECTIVE Extracting immunological and clinical heterogeneity across autoimmune rheumatic diseases (AIRDs) is essential towards personalised medicine. METHODS We conducted large-scale and cohort-wide immunophenotyping of 46 peripheral immune cells using Human Immunology Protocol of comprehensive 8-colour flow cytometric analysis. Dataset consisted of >1000 Japanese patients of 11 AIRDs with deep clinical information registered at the FLOW study, including rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE). In-depth clinical and immunological characterisation was conducted for the identified RA patient clusters, including associations of inborn human genetics represented by Polygenic Risk Score (PRS). RESULTS Multimodal clustering of immunophenotypes deciphered underlying disease-cell type network in immune cell, disease and patient cluster resolutions. This provided immune cell type specificity shared or distinct across AIRDs, such as close immunological network between mixed connective tissue disease and SLE. Individual patient-level clustering dissected patients with AIRD into several clusters with different immunological features. Of these, RA-like or SLE-like clusters were exclusively dominant, showing immunological differentiation between RA and SLE across AIRDs. In-depth clinical analysis of RA revealed that such patient clusters differentially defined clinical heterogeneity in disease activity and treatment responses, such as treatment resistance in patients with RA with SLE-like immunophenotypes. PRS based on RA case-control and within-case stratified genome-wide association studies were associated with clinical and immunological characteristics. This pointed immune cell type implicated in disease biology such as dendritic cells for RA-interstitial lung disease. CONCLUSION Cohort-wide and cross-disease immunophenotyping elucidate clinically heterogeneous patient subtypes existing within single disease in immune cell type-specific manner.
Collapse
Affiliation(s)
- Hiroaki Tanaka
- First Department of Internal Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan
- Department of Statistical Genetics, Osaka University School of Medicine Graduate School of Medicine, Suita, Osaka, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University School of Medicine Graduate School of Medicine, Suita, Osaka, Japan
- Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Premium Research Institute for Human Metaverse Medicine (WPI-PRIMe), Osaka University, Suita, Japan
| | - Shingo Nakayamada
- First Department of Internal Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan
| | - Yusuke Miyazaki
- First Department of Internal Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan
| | - Kyuto Sonehara
- Department of Statistical Genetics, Osaka University School of Medicine Graduate School of Medicine, Suita, Osaka, Japan
- Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Shinichi Namba
- Department of Statistical Genetics, Osaka University School of Medicine Graduate School of Medicine, Suita, Osaka, Japan
| | - Suguru Honda
- Department of Rheumatology, Department of Internal Medicine, Tokyo Women's Medical University, Shinjuku-ku, Tokyo, Japan
| | - Yuya Shirai
- Department of Statistical Genetics, Osaka University School of Medicine Graduate School of Medicine, Suita, Osaka, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Kenichi Yamamoto
- Department of Statistical Genetics, Osaka University School of Medicine Graduate School of Medicine, Suita, Osaka, Japan
- Laboratory of Children's health and Genetics, Division of Health Science, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Pediatrics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Satoshi Kubo
- First Department of Internal Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan
| | - Katsunori Ikari
- Department of Orthopedics, Tokyo Women's Medical University, Tokyo, Japan
| | - Masayoshi Harigai
- Department of Rheumatology, Department of Internal Medicine, Tokyo Women's Medical University, Shinjuku-ku, Tokyo, Japan
| | - Koshiro Sonomoto
- First Department of Internal Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan
- Department of Clinical Nursing, School of Health Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Yoshiya Tanaka
- First Department of Internal Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan
| |
Collapse
|
14
|
Zheng H, Cheng X, Jin L, Shan S, Yang J, Zhou J. Recent advances in strategies to target the behavior of macrophages in wound healing. Biomed Pharmacother 2023; 165:115199. [PMID: 37517288 DOI: 10.1016/j.biopha.2023.115199] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 07/05/2023] [Accepted: 07/18/2023] [Indexed: 08/01/2023] Open
Abstract
Chronic wounds and scar formation are widespread due to limited suitable remedies. The macrophage is a crucial regulator in wound healing, controlling the onset and termination of inflammation and regulating other processes related to wound healing. The current breakthroughs in developing new medications and drug delivery methods have enabled the accurate targeting of macrophages in oncology and rheumatic disease therapies through clinical trials. These successes have cleared the way to utilize drugs targeting macrophages in various disorders. This review thus summarizes macrophage involvement in normal and pathologic wound healing. It further details the targets available for macrophage intervention and therapeutic strategies for targeting the behavior of macrophages in tissue repair and regeneration.
Collapse
Affiliation(s)
- Hongkun Zheng
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Xinwei Cheng
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Lu Jin
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China; School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Shengzhou Shan
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Jun Yang
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
| | - Jia Zhou
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
| |
Collapse
|
15
|
Benfaremo D, Agarbati S, Mozzicafreddo M, Paolini C, Svegliati S, Moroncini G. Skin Gene Expression Profiles in Systemic Sclerosis: From Clinical Stratification to Precision Medicine. Int J Mol Sci 2023; 24:12548. [PMID: 37628728 PMCID: PMC10454358 DOI: 10.3390/ijms241612548] [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: 07/13/2023] [Revised: 08/03/2023] [Accepted: 08/06/2023] [Indexed: 08/27/2023] Open
Abstract
Systemic sclerosis, also known as scleroderma or SSc, is a condition characterized by significant heterogeneity in clinical presentation, disease progression, and response to treatment. Consequently, the design of clinical trials to successfully identify effective therapeutic interventions poses a major challenge. Recent advancements in skin molecular profiling technologies and stratification techniques have enabled the identification of patient subgroups that may be relevant for personalized treatment approaches. This narrative review aims at providing an overview of the current status of skin gene expression analysis using computational biology approaches and highlights the benefits of stratifying patients upon their skin gene signatures. Such stratification has the potential to lead toward a precision medicine approach in the management of SSc.
Collapse
Affiliation(s)
- Devis Benfaremo
- Department of Clinical and Molecular Sciences, Marche Polytechnic University, 60126 Ancona, Italy; (D.B.); (S.A.); (M.M.); (C.P.); (S.S.)
- Clinica Medica, Department of Internal Medicine, Marche University Hospital, 60126 Ancona, Italy
| | - Silvia Agarbati
- Department of Clinical and Molecular Sciences, Marche Polytechnic University, 60126 Ancona, Italy; (D.B.); (S.A.); (M.M.); (C.P.); (S.S.)
| | - Matteo Mozzicafreddo
- Department of Clinical and Molecular Sciences, Marche Polytechnic University, 60126 Ancona, Italy; (D.B.); (S.A.); (M.M.); (C.P.); (S.S.)
| | - Chiara Paolini
- Department of Clinical and Molecular Sciences, Marche Polytechnic University, 60126 Ancona, Italy; (D.B.); (S.A.); (M.M.); (C.P.); (S.S.)
| | - Silvia Svegliati
- Department of Clinical and Molecular Sciences, Marche Polytechnic University, 60126 Ancona, Italy; (D.B.); (S.A.); (M.M.); (C.P.); (S.S.)
- Clinica Medica, Department of Internal Medicine, Marche University Hospital, 60126 Ancona, Italy
| | - Gianluca Moroncini
- Department of Clinical and Molecular Sciences, Marche Polytechnic University, 60126 Ancona, Italy; (D.B.); (S.A.); (M.M.); (C.P.); (S.S.)
- Clinica Medica, Department of Internal Medicine, Marche University Hospital, 60126 Ancona, Italy
| |
Collapse
|
16
|
Moingeon P. Artificial intelligence-driven drug development against autoimmune diseases. Trends Pharmacol Sci 2023; 44:411-424. [PMID: 37268540 DOI: 10.1016/j.tips.2023.04.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 04/22/2023] [Accepted: 04/25/2023] [Indexed: 06/04/2023]
Abstract
Artificial intelligence (AI)-based predictive models are being used to foster a precision medicine approach to treat complex chronic diseases such as autoimmune and autoinflammatory disorders (AIIDs). In the past few years the first models of systemic lupus erythematosus (SLE), primary Sjögren syndrome (pSS), and rheumatoid arthritis (RA) have been produced by molecular profiling of patients using omic technologies and integrating the data with AI. These advances have confirmed a complex pathophysiology involving multiple proinflammatory pathways and also provide evidence for shared molecular dysregulation across different AIIDs. I discuss how models are used to stratify patients, assess causality in pathophysiology, design drug candidates in silico, and predict drug efficacy in virtual patients. By relating individual patient characteristics to the predicted properties of millions of drug candidates, these models can improve the management of AIIDs through more personalized treatments.
Collapse
Affiliation(s)
- Philippe Moingeon
- Research and Development, Servier Laboratories, 50 Rue Carnot, 92150 Suresnes, France; French Academy of Pharmacy, 4 Avenue de l'Observatoire, 75006 Paris, France.
| |
Collapse
|
17
|
Cardner M, Tuckwell D, Kostikova A, Forrer P, Siegel RM, Marti A, Vandemeulebroecke M, Ferrero E. Analysis of serum proteomics data identifies a quantitative association between beta-defensin 2 at baseline and clinical response to IL-17 blockade in psoriatic arthritis. RMD Open 2023; 9:e003042. [PMID: 37321668 DOI: 10.1136/rmdopen-2023-003042] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 05/22/2023] [Indexed: 06/17/2023] Open
Abstract
OBJECTIVES Despite several effective targeted therapies, biomarkers that predict whether a patient with psoriatic arthritis (PsA) will respond to a particular treatment are currently lacking. METHODS We analysed proteomics data from serum samples of nearly 2000 patients with PsA in placebo-controlled phase-III clinical trials of the interleukin-17 inhibitor secukinumab. To discover predictive biomarkers of clinical response, we used statistical learning with controlled feature selection. The top candidate was validated using an ELISA and was separately assessed in a trial of almost 800 patients with PsA treated with secukinumab or the tumour necrosis factor inhibitor adalimumab. RESULTS Serum levels of beta-defensin 2 (BD-2) at baseline were found to be robustly associated with subsequent clinical response (eg, American College of Rheumatology definition of 20%, 50% and 70% improvement) to secukinumab, but not to placebo. This finding was validated in two independent clinical studies not used for discovery. Although BD-2 is known to be associated with psoriasis severity, the predictivity of BD-2 was independent of baseline Psoriasis Area and Severity Index. The association between BD-2 and response to secukinumab was observed as early as 4 weeks and maintained up to 52 weeks. BD-2 was also found to predict response to treatment with adalimumab. Unlike in PsA, BD-2 was not predictive of response to secukinumab in rheumatoid arthritis. CONCLUSIONS In PsA, BD-2 at baseline is quantitatively associated with clinical response to secukinumab. Patients with high levels of BD-2 at baseline reach and sustain higher rates of clinical response after treatment with secukinumab.
Collapse
Affiliation(s)
- Mathias Cardner
- Novartis Pharma AG, Basel, Switzerland
- Novartis Institutes for BioMedical Research, Basel, Switzerland
| | - Danny Tuckwell
- Novartis Institutes for BioMedical Research, Basel, Switzerland
| | - Anna Kostikova
- Novartis Institutes for BioMedical Research, Basel, Switzerland
| | | | | | | | | | - Enrico Ferrero
- Novartis Institutes for BioMedical Research, Basel, Switzerland
| |
Collapse
|
18
|
Savino S, Nicola B, Luigi MP, Dimitrios B, Borghi MO, Xavier B, Grossi C, Tornai D, Papp M, Shoenfeld Y, Ielo D, Fritzler MJ. Autoantibodies testing in autoimmunity: Diagnostic, prognostic and classification value. Autoimmun Rev 2023; 22:103356. [PMID: 37150488 DOI: 10.1016/j.autrev.2023.103356] [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: 04/25/2023] [Accepted: 05/04/2023] [Indexed: 05/09/2023]
Abstract
Diagnosis of autoimmune diseases is in most cases challenging for clinicians as there is not a single specific laboratory or histological marker to diagnose or exclude the presence of the conditions. This review focused on the current knowledge of the role of autoantibodies' testing in various diseases, such as systemic lupus erythematosus, rheumatoid arthritis, antiphospholipid syndrome, undifferentiated connective tissues disease, primary biliary cirrhosis and primary sclerosing cholangitis. Similarly, the prognostic and diagnostic values of autoantibodies testing in patients with interstitial lung disease have been reviewed. In-depth research on the molecular action of these autoantibodies on immune regulation and diseases pathogenesis has been explored beyond their correlation with disease phenotypes, highlighting the impact of autoantibodies targeting on disease outcomes and etiopathogenesis.
Collapse
Affiliation(s)
- Sciascia Savino
- University Center of Excellence on Nephrologic, Rheumatologic and Rare Diseases (ERK-net, ERN-Reconnect and RITA-ERN Member) with Nephrology and Dialysis Unit and Center of Immuno-Rheumatology and Rare Diseases, Coordinating Center of the Interregional Network for Rare Diseases of Piedmont and Aosta Valley, San Giovanni Bosco Hub Hospital, Turin, Italy
| | - Bizzaro Nicola
- Laboratory of Clinical Pathology, Azienda Sanitaria Universitaria Integrata di Udine, Tolmezzo, Italy
| | - Meroni Pier Luigi
- Istituto Auxologico Italiano, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Laboratory of Immuno-Rheumatology, Milan, Italy; Department of Clinical Sciences and Community Health, University of Milan, Italy
| | - Bogdanos Dimitrios
- Department of Rheumatology and Clinical Immunology, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece
| | - M O Borghi
- Istituto Auxologico Italiano, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Laboratory of Immuno-Rheumatology, Milan, Italy; Department of Clinical Sciences and Community Health, University of Milan, Italy
| | - Bossuyt Xavier
- Clinical and diagnostic immunology, Department of Microbiology, Immunology and transplantation, KU Leuven, Leuven, Belgium; Department of laboratory medicine, UZ Leuven, Leuven, Belgium
| | - C Grossi
- Istituto Auxologico Italiano, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Laboratory of Immuno-Rheumatology, Milan, Italy; Department of Clinical Sciences and Community Health, University of Milan, Italy
| | - Dávid Tornai
- Division of Gastroenterology, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, European Reference Network on Hepatological Diseases, ERN RARE-LIVER, Hungary
| | - Maria Papp
- Division of Gastroenterology, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, European Reference Network on Hepatological Diseases, ERN RARE-LIVER, Hungary
| | - Yehuda Shoenfeld
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Zabludowicz Center for Autoimmune Diseases, Chaim Sheba Medical Center, Israel
| | | | - Marvin J Fritzler
- Department of Medicine, Cumming School of Medicine, Calgary, Alberta, Canada
| |
Collapse
|
19
|
Su R, Li B, Wu R, Xie Y, Gao A, Gao C, Li X, Wang C. Stratified distribution of Th17 and Treg cells in patients with multi-stage rheumatoid arthritis. Arthritis Res Ther 2023; 25:55. [PMID: 37016395 PMCID: PMC10071616 DOI: 10.1186/s13075-023-03041-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 03/29/2023] [Indexed: 04/06/2023] Open
Abstract
OBJECTIVE Rheumatoid arthritis (RA) is a typical, progressive autoimmune disease. Its occurrence and development are associated with dysregulation of T and B cell numbers. However, the specific immune characteristics of different RA courses remain incompletely defined. Here, we describe the peripheral blood lymphocyte subsets, particularly CD4 + T subsets, of different RA courses with a focus on early RA (Ea-RA). METHODS In all, 131 patients with Ea-RA, 117 with advanced RA (Ad-RA), and 109 with treated RA (Tr-RA) were enrolled. We collected general clinical data. Whole blood samples obtained from the patients and 97 healthy controls (HCs) were analysed via flow cytometry. RESULTS Decreased absolute NK cell numbers and increased CD4/CD8 T cell ratios were observed in different RA groups, including Ea-RA, compared to healthy controls. In Ea-RA patients, the Th17 and Treg cell numbers were similar to those in HCs. We performed k-means clustering based on the profiles of Th17 and Treg cells for patients with multi-stage of RA. We identified three patient types: type A characterised by relatively low Treg and Th17 cell numbers, type B with moderate levels of Treg cells and levels of Th17 cells similar to that of type C patients, and type C with high levels of Treg cells and levels of Th17 cells similar to that of type B patients. CONCLUSION The immune characteristics of Ea-RA patients differ from those of HCs; an immune system disorder is apparent although no differences in Th17 and Treg levels were evident between Ea-RA patients and HCs. We found distributional heterogeneities of Th17 and Treg cells in patients with multi-stage of RA. Stratified management based on such heterogeneity may serve as a useful novel immunotherapy allowing of early intervention.
Collapse
Affiliation(s)
- Rui Su
- Department of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- Shanxi Key Laboratory of Immunomicroecology, Taiyuan, Shanxi, China
| | - Baochen Li
- Department of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- Shanxi Key Laboratory of Immunomicroecology, Taiyuan, Shanxi, China
| | - Ruihe Wu
- Department of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- Shanxi Key Laboratory of Immunomicroecology, Taiyuan, Shanxi, China
| | - Yuhuan Xie
- Department of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- Shanxi Key Laboratory of Immunomicroecology, Taiyuan, Shanxi, China
| | - Anqi Gao
- Department of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- Shanxi Key Laboratory of Immunomicroecology, Taiyuan, Shanxi, China
| | - Chong Gao
- Brigham and Women's Hospital/Children's Hospital Boston, Joint Program in Transfusion Medicine, Harvard Medical School, PathologyBoston, USA
| | - Xiaofeng Li
- Department of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- Shanxi Key Laboratory of Immunomicroecology, Taiyuan, Shanxi, China
| | - Caihong Wang
- Department of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
- Shanxi Key Laboratory of Immunomicroecology, Taiyuan, Shanxi, China.
| |
Collapse
|
20
|
Laigle L, Chadli L, Moingeon P. Biomarker-driven development of new therapies for autoimmune diseases: current status and future promises. Expert Rev Clin Immunol 2023; 19:305-314. [PMID: 36680799 DOI: 10.1080/1744666x.2023.2172404] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
INTRODUCTION Auto-immune diseases are complex and heterogeneous. Various types of biomarkers can be used to support precision medicine approaches to autoimmune diseases, ensuring that the right patient receives the most appropriate therapy to improve treatment outcomes. AREAS COVERED We review the recent progress made in modeling several autoimmune diseases such as Systemic Lupus Erythematosus, primary Sjogren Syndrome, and Rheumatoid Arthritis following extensive molecular profiling of large cohorts of patients. From this knowledge, BMKs are being identified which support diagnostic as well as patient stratification and prediction of response to treatment. The identification of biomarkers should be initiated early in drug development and properly validated during subsequent clinical trials. To ensure the robustness and reproducibility of biomarkers, the PERMIT Consortium recently established recommendations highlighting the importance of relevant study design, sample size, and appropriate validation of analytical methods. EXPERT OPINION The integration by AI-powered analytics of massive data provided by multi-omics technologies, high-resolution medical imaging and sensors borne by patients will eventually allow the identification of clinically relevant BMKs, likely in the form of combinatorial predictive algorithms, to support future drug development for autoimmune diseases.
Collapse
Affiliation(s)
| | - Loubna Chadli
- Servier Médical, Research and Development, Suresnes, France
| | | |
Collapse
|
21
|
Sui Y, Li S, Fu XQ, Zhao ZJ, Xing S. Bioinformatics analyses of combined databases identify shared differentially expressed genes in cancer and autoimmune disease. J Transl Med 2023; 21:109. [PMID: 36765396 PMCID: PMC9921081 DOI: 10.1186/s12967-023-03943-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 01/30/2023] [Indexed: 02/12/2023] Open
Abstract
BACKGROUND Inadequate immunity caused by poor immune surveillance leads to tumorigenesis, while excessive immunity due to breakdown of immune tolerance causes autoimmune genesis. Although the function of immunity during the onset of these two processes appears to be distinct, the underlying mechanism is shared. To date, gene expression data for large bodies of clinical samples are available, but the resemblances of tumorigenesis and autoimmune genesis in terms of immune responses remains to be summed up. METHODS Considering the high disease prevalence, we chose invasive ductal carcinoma (IDC) and systemic lupus erythematosus (SLE) to study the potential commonalities of immune responses. We obtained gene expression data of IDC/SLE patients and normal controls from five IDC databases (GSE29044, GSE21422, GSE22840, GSE15852, and GSE9309) and five SLE databases (GSE154851, GSE99967, GSE61635, GSE50635, and GSE17755). We intended to identify genes differentially expressed in both IDC and SLE by using three bioinformatics tools including GEO2R, the limma R package, and Weighted Gene Co-expression Network Analysis (WGCNA) to perform function enrichment, protein-protein network, and signaling pathway analyses. RESULTS The mRNA levels of signal transducer and activator of transcription 1 (STAT1), 2'-5'-oligoadenylate synthetase 1 (OAS1), 2'-5'-oligoadenylate synthetase like (OASL), and PML nuclear body scaffold (PML) were found to be differentially expressed in both IDC and SLE by using three different bioinformatics tools of GEO2R, the limma R package and WGCNA. From the combined databases in this study, the mRNA levels of STAT1 and OAS1 were increased in IDC while reduced in SLE. And the mRNA levels of OASL and PML were elevated in both IDC and SLE. Based on Kyoto Encyclopedia of Genes and Genomes pathway analysis and QIAGEN Ingenuity Pathway Analysis, both IDC and SLE were correlated with the changes of multiple components involved in the Interferon (IFN)-Janus kinase (JAK)-signal transducer and activator of transcription (STAT) signaling pathway. CONCLUSION The expression levels of STAT1 and OAS1 manifest the opposite expression tendency across cancer and autoimmune disease. They are components in the IFN-JAK-STAT signaling pathway related to both tumorigenesis and autoimmune genesis. STAT1 and OAS1-associated IFN-JAK-STAT signaling could explain the commonalities during tumorigenesis and autoimmune genesis and render significant information for more precise treatment from the point of immune homeostasis.
Collapse
Affiliation(s)
- Yuan Sui
- grid.64924.3d0000 0004 1760 5735Edmond H. Fischer Signal Transduction Laboratory, School of Life Sciences, Jilin University, Changchun, 130012 China
| | - Shuping Li
- grid.266902.90000 0001 2179 3618Department of Physiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104 USA
| | - Xue-Qi Fu
- grid.64924.3d0000 0004 1760 5735Edmond H. Fischer Signal Transduction Laboratory, School of Life Sciences, Jilin University, Changchun, 130012 China
| | - Zhizhuang Joe Zhao
- Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA.
| | - Shu Xing
- Edmond H. Fischer Signal Transduction Laboratory, School of Life Sciences, Jilin University, Changchun, 130012, China.
| |
Collapse
|
22
|
Meyer A, Troyanov Y, Korathanakhun P, Landon-Cardinal O, Leclair V, Allard-Chamard H, Bourré-Tessier J, Makhzoum JP, Isabelle C, Larue S, Grand'Maison F, Massie R, Page ML, Mansour AM, Routhier N, Zarka F, Roy F, Sonnen J, Satoh M, Fritzler M, Hudson M, Senécal JL, Karamchandani J, Ellezam B, O'Ferrall E. Myositis with prominent B cell aggregates may meet classification criteria for sporadic inclusion body myositis. Neuromuscul Disord 2023; 33:169-182. [PMID: 36649672 DOI: 10.1016/j.nmd.2022.12.001] [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: 08/17/2022] [Revised: 11/30/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022]
Abstract
The objective of this study was to report the clinical, serological and pathological features of patients with autoimmune myositis other than dermatomyositis, who displayed both muscle weakness on physical examination and prominent B cell aggregates on muscle pathology, defined as ≥ 30 CD20+ cells/aggregate. Specifically, the presence of a brachio-cervical inflammatory myopathies or a sporadic inclusion body myositis (sIBM) phenotype was recorded. Over a three-year period, eight patients were identified from two university neuropathology referral centers. Seven of 8 (88%) patients had an associated connective tissue disease (CTD): rheumatoid arthritis (n=3), systemic sclerosis (n=2), Sjögren's syndrome (n=1) and systemic lupus erythematosus (n=1), while one patient died on initial presentation without a complete serological and cancer investigation. A brachio-cervical phenotype, i.e. neck weakness, proximal weakness more than distal and shoulder abduction weakness greater than hip flexors, was seen in two patients (25%), while one patient had both proximal and diaphragmatic weakness. In contrast, an IBM-like clinical phenotype was seen in the last five patients (63%), who either had finger flexor weakness and/or quadriceps weakness ≤ 4 on the manual muscle testing MRC-5 scale. Although these 5 patients met at least one set of classification criteria for sIBM, an integrated clinico-sero-pathological approach argued against a diagnosis of sIBM. In summary, in a weak patient with myositis plus an associated CTD and lymphoid aggregates at muscle pathology, B cell predominant aggregates may represent a morphological biomarker against a diagnosis of sIBM.
Collapse
Affiliation(s)
- Alain Meyer
- Exploration fonctionnelle musculaire, Service de physiologie, Service de rhumatologie, Centre de références des maladies autoimmunes rares, Hôpitaux universitaires de Strasbourg, Université de Strasbourg, Strasbourg, France.
| | - Yves Troyanov
- Department of Medicine, University of Montreal, Montreal, Québec, Canada; Division of Rheumatology, Hôpital du Sacré-Coeur, Montreal, Québec, Canada
| | - Pat Korathanakhun
- Department of Neurology, McGill University, Montreal, Québec, Canada; Montreal Neurological Institute and Hospital, Montreal, Québec, Canada
| | - Océane Landon-Cardinal
- Department of Medicine, University of Montreal, Montreal, Québec, Canada; Division of Rheumatology, Centre hospitalier de l'Université de Montréal, Montreal, Québec, Canada; CHUM Research Center, Montreal, Québec, Canada
| | - Valérie Leclair
- Department of Medicine, McGill University, Montreal, Québec, Canada; Division of Rheumatology, Jewish General Hospital, Montreal, Québec, Canada
| | - Hughes Allard-Chamard
- Department of Medicine, Sherbrooke University, Sherbrooke, Québec, Canada; Division of Rheumatology, CHUS, Sherbrooke, Québec, Canada
| | - Josiane Bourré-Tessier
- Department of Medicine, University of Montreal, Montreal, Québec, Canada; Division of Rheumatology, Centre hospitalier de l'Université de Montréal, Montreal, Québec, Canada; CHUM Research Center, Montreal, Québec, Canada
| | - Jean-Paul Makhzoum
- Department of Medicine, University of Montreal, Montreal, Québec, Canada; Division of Internal Medicine, Hôpital du Sacré-Coeur, Montreal, Québec, Canada
| | - Catherine Isabelle
- Department of Medicine, Sherbrooke University, Sherbrooke, Québec, Canada; Division of Rheumatology, Hôpital Charles-Lemoyne, Longueuil, Québec, Canada
| | - Sandrine Larue
- Department of Medicine, Sherbrooke University, Sherbrooke, Québec, Canada; Division of Neurology, Hôpital Charles-Lemoyne, Longueuil, Québec, Canada
| | - Francois Grand'Maison
- Department of Medicine, Sherbrooke University, Sherbrooke, Québec, Canada; Division of Neurology, Hôpital Charles-Lemoyne, Longueuil, Québec, Canada
| | - Rami Massie
- Department of Neurology, McGill University, Montreal, Québec, Canada; Montreal Neurological Institute and Hospital, Montreal, Québec, Canada
| | - Matthieu Le Page
- Division of Rheumatology, Centre hospitalier régional de Lanaudière, Saint-Charles-Borromée, Québec, Canada
| | - Anne-Marie Mansour
- Department of Medicine, University of Montreal, Montreal, Québec, Canada; Division of Internal Medicine, Hôpital du Sacré-Coeur, Montreal, Québec, Canada
| | - Nathalie Routhier
- Department of Medicine, University of Montreal, Montreal, Québec, Canada; Division of Internal Medicine, Hôpital du Sacré-Coeur, Montreal, Québec, Canada
| | - Farah Zarka
- Department of Medicine, University of Montreal, Montreal, Québec, Canada; Division of Internal Medicine, Hôpital du Sacré-Coeur, Montreal, Québec, Canada
| | - Flavie Roy
- Department of Medicine, University of Montreal, Montreal, Québec, Canada
| | - Joshua Sonnen
- Department of Neurology, McGill University, Montreal, Québec, Canada; Montreal Neurological Institute and Hospital, Montreal, Québec, Canada; Department of Pathology, McGill University, Montreal, Québec, Canada
| | - Minoru Satoh
- Department of Clinical Nursing, School of Health Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Marvin Fritzler
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Marie Hudson
- Department of Medicine, McGill University, Montreal, Québec, Canada; Division of Rheumatology, Jewish General Hospital, Montreal, Québec, Canada; Lady Davis Institute, Jewish General Hospital, Montreal, Québec, Canada
| | - Jean-Luc Senécal
- Department of Medicine, University of Montreal, Montreal, Québec, Canada; Division of Rheumatology, Centre hospitalier de l'Université de Montréal, Montreal, Québec, Canada; CHUM Research Center, Montreal, Québec, Canada
| | - Jason Karamchandani
- Montreal Neurological Institute and Hospital, Montreal, Québec, Canada; Department of Pathology, McGill University, Montreal, Québec, Canada
| | - Benjamin Ellezam
- Department of Pathology and Cell Biology, University of Montreal, Montreal, Québec, Canada; Department of Pathology, Hôpital Sainte-Justine, Montreal, Québec, Canada
| | - Erin O'Ferrall
- Department of Neurology, McGill University, Montreal, Québec, Canada; Montreal Neurological Institute and Hospital, Montreal, Québec, Canada; Department of Pathology, McGill University, Montreal, Québec, Canada
| |
Collapse
|
23
|
Vitale A, Alivernini S, Caporali R, Cassone G, Bruno D, Cantarini L, Lopalco G, Rossini M, Atzeni F, Favalli EG, Conti F, Gremese E, Iannone F, Ferraccioli GF, Lapadula G, Sebastiani M. From Bench to Bedside in Rheumatoid Arthritis from the "2022 GISEA International Symposium". J Clin Med 2023; 12:jcm12020527. [PMID: 36675455 PMCID: PMC9863451 DOI: 10.3390/jcm12020527] [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: 11/14/2022] [Revised: 12/30/2022] [Accepted: 01/03/2023] [Indexed: 01/11/2023] Open
Abstract
While precision medicine is still a challenge in rheumatic disease, in recent years many advances have been made regarding pathogenesis, the treatment of inflammatory arthropathies, and their interaction. New insight into the role of inflammasome and synovial tissue macrophage subsets as predictors of drug response give hope for future tailored therapeutic strategies and a personalized medicine approach in inflammatory arthropathies. Here, we discuss the main pathogenetic mechanisms and therapeutic approaches towards precision medicine in rheumatoid arthritis from the 2022 International GISEA/OEG Symposium.
Collapse
Affiliation(s)
- Antonio Vitale
- Department of Medical Sciences, Surgery and Neurosciences, Research Center of Systemic Autoinflammatory Diseases and Behçet’s Disease Clinic, University of Siena, 53100 Siena, SI, Italy
| | - Stefano Alivernini
- Immunology Research Core Facility, Gemelli Science and Technology Park, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, RM, Italy
- Division of Rheumatology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, 00168 Rome, RM, Italy
| | - Roberto Caporali
- Division of Clinical Rheumatology, ASST Gaetano Pini-CTO Institute, 20122 Milano, MI, Italy
- Department of Clinical Sciences and Community Health, Research Center for Pediatric and Adult Rheumatic Diseases (RECAP.RD), University of Milan, 20122 Milano, MI, Italy
| | - Giulia Cassone
- Rheumatology Unit, Azienda Ospedaliera Policlinico di Modena, University of Modena and Reggio Emilia, 41121 Modena, MO, Italy
| | - Dario Bruno
- Immunology Research Core Facility, Gemelli Science and Technology Park, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, RM, Italy
| | - Luca Cantarini
- Department of Medical Sciences, Surgery and Neurosciences, Research Center of Systemic Autoinflammatory Diseases and Behçet’s Disease Clinic, University of Siena, 53100 Siena, SI, Italy
| | - Giuseppe Lopalco
- Rheumatology Unit, Department of Emergency Surgery and Organ Transplantations, University of Bari, 70121 Bari, BA, Italy
| | - Maurizio Rossini
- Rheumatology Unit, University of Verona, Policlinico G.B. Rossi, Piazzale A. Scuro, 37134 Verona, VR, Italy
| | - Fabiola Atzeni
- Rheumatology Unit, Department of Experimental and Internal Medicine, University of Messina, 98122 Messina, ME, Italy
| | - Ennio Giulio Favalli
- Division of Clinical Rheumatology, ASST Gaetano Pini-CTO Institute, 20122 Milano, MI, Italy
- Department of Clinical Sciences and Community Health, Research Center for Pediatric and Adult Rheumatic Diseases (RECAP.RD), University of Milan, 20122 Milano, MI, Italy
| | - Fabrizio Conti
- Lupus Clinic, Dipartimento di Scienze Cliniche Internistiche, Anestesiologiche e Cardiovascolari, Sapienza University of Rome, 00185 Roma, RM, Italy
| | - Elisa Gremese
- Immunology Research Core Facility, Gemelli Science and Technology Park, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, RM, Italy
- Division of Clinical Immunology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, 20123 Milano, MI, Italy
| | - Florenzo Iannone
- Rheumatology Unit, Department of Emergency Surgery and Organ Transplantations, University of Bari, 70121 Bari, BA, Italy
| | | | - Giovanni Lapadula
- Rheumatology Unit, Department of Emergency Surgery and Organ Transplantations, University of Bari, 70121 Bari, BA, Italy
| | - Marco Sebastiani
- Rheumatology Unit, Azienda Ospedaliera Policlinico di Modena, University of Modena and Reggio Emilia, 41121 Modena, MO, Italy
- Correspondence:
| |
Collapse
|
24
|
Ruiz-Romero C, Fernández-Puente P, González L, Illiano A, Lourido L, Paz R, Quaranta P, Perez-Pampín E, González A, Blanco FJ, Calamia V. Association of the serological status of rheumatoid arthritis patients with two circulating protein biomarkers: A useful tool for precision medicine strategies. Front Med (Lausanne) 2022; 9:963540. [PMID: 36388911 PMCID: PMC9651940 DOI: 10.3389/fmed.2022.963540] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 10/03/2022] [Indexed: 08/27/2023] Open
Abstract
Rheumatoid arthritis (RA) is an autoimmune disease characterized by chronic inflammation of the joints and presence of systemic autoantibodies, with a great clinical and molecular heterogeneity. Rheumatoid Factor (RF) and anti-citrullinated protein antibodies (ACPA) are routinely used for the diagnosis of RA. However, additional serological markers are needed to improve the clinical management of this disease, allowing for better patient stratification and the desirable application of precision medicine strategies. In the present study, we investigated those systemic molecular changes that are associated with the RF and ACPA status of RA patients. To achieve this objective, we followed a proteomic biomarker pipeline from the discovery phase to validation. First, we performed an iTRAQ-based quantitative proteomic experiment on serum samples from the RA cohort of the Hospital of Santiago de Compostela (CHUS). In this discovery phase, serum samples from the CHUS cohort were pooled according to their RF/ACPA status. Shotgun analysis revealed that, in comparison with the double negative group (RF-/ACPA-), the abundance of 12 proteins was altered in the RF+/ACPA+ pool, 16 in the RF+/ACPA- pool and 10 in the RF-/ACPA+ pool. Vitamin D binding protein and haptoglobin were the unique proteins increased in all the comparisons. For the verification phase, 80 samples from the same cohort were analyzed individually. To this end, we developed a Multiple Reaction Monitoring (MRM) method that was employed in a comprehensive targeted analysis with the aim of verifying the results obtained in the discovery phase. Thirty-one peptides belonging to 12 proteins associated with RF and/or ACPA status were quantified by MRM. In a final validation phase, the serum levels of alpha-1-acid glycoprotein 1 (A1AG1), haptoglobin (HPT) and retinol-binding protein 4 (RET4) were measured by immunoassays in the RA cohort of the Hospital of A Coruña (HUAC). The increase of two of these putative biomarkers in the double seropositive group was validated in 260 patients from this cohort (p = 0.009 A1AG1; p = 0.003 HPT). The increased level of A1AG1 showed association with RF rather than ACPA (p = 0.023), whereas HPT showed association with ACPA rather than RF (p = 0.013). Altogether, this study has allowed a further classification of the RA seropositive patients into two novel clusters: RF+A1AG+ and ACPA+HPT+. The determination of A1AG1 and HPT in serum would provide novel information useful for RA patient stratification, which could facilitate the effective implementation of personalized medicine in routine clinical practice.
Collapse
Affiliation(s)
- Cristina Ruiz-Romero
- Unidad de Proteómica, Grupo de Investigación de Reumatología (GIR), Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), A Coruña, Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
| | - Patricia Fernández-Puente
- Centro de Investigaciones Científicas Avanzadas (CICA), Universidad de A Coruña (UDC), A Coruña, Spain
| | - Lucía González
- Unidad de Proteómica, Grupo de Investigación de Reumatología (GIR), Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), A Coruña, Spain
| | - Anna Illiano
- CEINGE—Advanced Biotechnology, Naples, Italy
- Department of Chemical Sciences, University of Naples Federico II, Naples, Italy
| | - Lucía Lourido
- Unidad de Proteómica, Grupo de Investigación de Reumatología (GIR), Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), A Coruña, Spain
| | - Rocío Paz
- Unidad de Proteómica, Grupo de Investigación de Reumatología (GIR), Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), A Coruña, Spain
| | - Patricia Quaranta
- Unidad de Proteómica, Grupo de Investigación de Reumatología (GIR), Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), A Coruña, Spain
| | - Eva Perez-Pampín
- Laboratorio de Investigación 10 and Rheumatology Unit, Instituto de Investigación Sanitaria (IDIS), Hospital Clínico Universitario de Santiago (CHUS), Santiago de Compostela, Spain
| | - Antonio González
- Laboratorio de Investigación 10 and Rheumatology Unit, Instituto de Investigación Sanitaria (IDIS), Hospital Clínico Universitario de Santiago (CHUS), Santiago de Compostela, Spain
| | - Francisco J. Blanco
- Unidad de Proteómica, Grupo de Investigación de Reumatología (GIR), Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), A Coruña, Spain
- Grupo de Investigación de Reumatología y Salud (GIR-S), Departamento de Fisioterapia, Medicina y Ciencias Biomédicas, Facultad de Fisioterapia, Universidade da Coruña (UDC), A Coruña, Spain
| | - Valentina Calamia
- Unidad de Proteómica, Grupo de Investigación de Reumatología (GIR), Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), A Coruña, Spain
| |
Collapse
|
25
|
Personalized Medicine and Machine Learning: A Roadmap for the Future. J Clin Med 2022; 11:jcm11144110. [PMID: 35887873 PMCID: PMC9317385 DOI: 10.3390/jcm11144110] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 07/14/2022] [Indexed: 12/10/2022] Open
|
26
|
Mishra D, Samanta J. Future of digital health and precision medicine in rheumatology practice in India. INDIAN JOURNAL OF RHEUMATOLOGY 2022. [DOI: 10.4103/injr.injr_146_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
|