| Literature DB >> 31921111 |
Erkan Demirkaya1, Zehra Serap Arici2, Micol Romano1,3, Roberta Audrey Berard1, Ivona Aksentijevich4.
Abstract
Precision medicine (PM) is an emerging data-driven health care approach that integrates phenotypic, genomic, epigenetic, and environmental factors unique to an individual. The goal of PM is to facilitate diagnosis, predict effective therapy, and avoid adverse reactions specific for each patient. The forefront of PM is in oncology; nonetheless, it is developing in other fields of medicine, including rheumatology. Recent studies on elucidating the genetic architecture of polygenic and monogenic rheumatological diseases have made PM possible by enabling physicians to customize medical treatment through the incorporation of clinical features and genetic data. For complex inflammatory disorders, the prevailing paradigm is that disease susceptibility is due to additive effects of common reduced-penetrance gene variants and environmental factors. Efforts have been made to calculate cumulative genetic risk score (GRS) and to relate specific susceptibility alleles for use of target therapies. The discovery of rare patients with single-gene high-penetrance mutations informed our understanding of pathways driving systemic inflammation. Here, we review the advances in practicing PM in patients with primary systemic vasculitides (PSVs). We summarize recent genetic studies and discuss current knowledge on the contribution of epigenetic factors and extracellular vesicles (EVs) in disease progression and treatment response. Implementation of PM in PSVs is a developing field that will require analysis of a large cohort of patients to validate data from genomics, transcriptomics, metabolomics, proteomics, and epigenomics studies for accurate disease profiling. This multi-omics approach to study disease pathogeneses should ultimately provide a powerful tool for stratification of patients to receive tailored optimal therapies and for monitoring their disease activity.Entities:
Keywords: epigenetics; extracellular vesicles; genome-wide association studies; monogenic systemic autoinflammatory diseases; precision medicine; vasculitides; vasculitis
Year: 2019 PMID: 31921111 PMCID: PMC6927998 DOI: 10.3389/fimmu.2019.02813
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Chapel Hill Consensus Conference Nomenclature (CHCC 2012) of vasculitides (2).
| Large-vessel vasculitis (LVV) |
Takayasu arteritis (TAK) Giant cell arteritis (GCA) |
| Medium-vessel vasculitis (MVV) |
Polyarteritis nodosa (PAN) Kawasaki disease (KD) |
| Small-vessel vasculitis (SVV) |
Antineutrophil cytoplasmic antibody (ANCA)–associated vasculitis (AAV) ° Microscopic polyangiitis (MPA) ° Granulomatosis with polyangiitis (Wegener's) (GPA) ° Eosinophilic granulomatosis with polyangiitis (Churg-Strauss) (EGPA) Immune complex SVV ° Anti–glomerular basement membrane (anti-GBM) disease ° Cryoglobulinemic vasculitis (CV) ° IgA vasculitis (Henoch-Schönlein purpura) (IgAV/HSP) ° Hypocomplementemic urticarial vasculitis (HUV) (anti-C1q vasculitis) |
| Variable vessel vasculitis (VVV) |
Behçet's disease (BD) Cogan's syndrome (CS) |
| Single-organ vasculitis (SOV) |
Cutaneous leukocytoclastic angiitis Cutaneous arteritis Primary central nervous system vasculitis Isolated aortitis Others |
| Vasculitis associated with systemic disease |
Lupus vasculitis Rheumatoid vasculitis Sarcoid vasculitis Others |
| Vasculitis associated with probable etiology |
Hepatitis C virus–associated cryoglobulinemic vasculitis Hepatitis B virus–associated vasculitis Syphilis-associated aortitis Drug-associated immune complex vasculitis Drug-associated ANCA-associated vasculitis Cancer-associated vasculitis Others (e.g., varicella zoster virus–associated vasculitis) |
Genome-wide association studies (GWAS) in primary systemic vasculitides (PSVs).
| Susceptibility genes for KD ( | SNP in SLC8A1 (calcium signaling pathway) can be proof for using calcineurin inhibitors in KD | |
| Susceptibility genes for cardiovascular disease in KD ( | ||
| Susceptibility genes for intravenous immunoglobulin (IVIG) resistance in KD ( | BCL2L11 and SAMD9L: prediction of IVIG resistance | |
| Susceptibility genes for BS ( | Inhibition of IL-12/IL-23 pathway activation may be a treatment target | |
| Related with anti-MPO AAV ( | ||
| Related with anti-PR3 AAV ( | ||
| Related with AAV ( | PTPN22, | |
| Susceptibility genes for TA ( | ||
| Susceptibility locus for IgAV/HSP ( | HLA-DRB1 | |
| Susceptibilty genes for GCA ( | HLA-DRB1*04, PLG, and P4HA2 | |
The role of extracellular vesicles in vasculitis. This table is adapted from Wu et al. (133).
| Nakaoka et al. ( | Endothelial cells, CD144 | miR-145-5p, miR-320a | KD, medium vessels | Upregulation of proinflammatory cytokine |
| Raposo et al. ( | Leukocytes CD45 | B1-receptors | AAV, IgAV, small vessels | Kinin system |
| Raposo et al. ( | Endothelial cells | B1-receptors | AAV, IgAV | Kinin system |
| Macey et al. ( | Platelets CD42a/CD62P | – | BS | Inflammation |
| Dursun et al. ( | Endothelial cells | – | IgAV/small vessels | Inflammation |
| Daniel et al. ( | Neutrophils CD66b | – | AAV | Inflammation and procoagulation |
| Mendoza-Pinto et al. ( | Neutrophils annexin | Tissue factor | AAV | Inflammation and thrombosis |
| Hong et al. ( | Annexin V neutrophils | CD18/C, D11b, PR3, MPO | AAV | Inflammation and procoagulation |
| Huang et al. ( | Annexin V | Tissue factor | AAV | Procoagulation |
| Mejia et al. ( | Annexin V | – | BD | Procoagulation |
| Khan et al. ( | Annexin V | Tissue factor | BD | Procoagulation |
| Eleftheriou et al. ( | Annexin V, platelets CD41 endothelial cells CD62E | Tissue factor | MPA, GPA, PAN, KD, BS | Procoagulation |
| Martinez et al. ( | Platelets CD6 | – | BS | Procoagulation |
| Yahata et al. ( | Platelets CD42b/CD42a | – | KD | Evaluation of platelets |
| Kim et al. ( | Annexin V | – | KD | Evaluation of platelets |
| Hajj-Ali et al. ( | Annexin endothelial cells CD105/CD144, platelets CD41, leukocytes CD18, neutrophils | – | GPA/small vessels | Platelets activation and endothelial damage |
| Tian et al. ( | Annexin V V/CD62E/CD31 | – | KD/medium vessels | Endothelial damage |
| Erdbruegger et al. ( | Annexin V, endothelial cell CD105/CD6 2E | – | AAV/small vessels | Endothelial damage |
| Ding et al. ( | – | KD/medium vessels | Endothelial dysfunction | |
| Kumpers et al. ( | Annexin V | – | CSS/small vessels | Endothelial damage |
| Clarke et al. ( | Annexin V, endothelial cell | – | MPA, GPA, PAN, KD, BS | Endothelial damage |
| Guiducci et al. ( | Platelets CD42, erythrocytes, T cells, endothelial cells | – | KD/medium vessels | Endothelial damage |
| Brogan et al. ( | Annexin V, platelets CD42a/CD62 | – | MPA, GPA, PAN, KD, BS | Endothelial activation |
| Tan et al. ( | Endothelial cells CD31/CD146 | – | KD/medium vessels | Endothelial damage |
| Shah et al. ( | Endothelial cells CD105/CD62E | – | KD/medium vessels | Endothelial damage |
| Jia et al. ( | CD9/CD81/TS | miR-1246, miR44 | KD/medium vessels | Diagnostic biomarker |
| Zhang et al. ( | – | miR-328, miR-575, miR- 134, miR-671- 5p | KD/medium vessels | Inflammation |
| Zhang et al. ( | CD9/CD81/flotilin | 38 different contents | KD/ medium vessels | Inflammation and procoagulation |
| Zhang et al. ( | CD9/flotillin | 69 different proteins | KD/medium vessels | Inflammation and procoagulation |