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Humby FC, Al Balushi F, Lliso G, Cauli A, Pitzalis C. Can Synovial Pathobiology Integrate with Current Clinical and Imaging Prediction Models to Achieve Personalized Health Care in Rheumatoid Arthritis? Front Med (Lausanne) 2017; 4:41. [PMID: 28516086 PMCID: PMC5413506 DOI: 10.3389/fmed.2017.00041] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2017] [Accepted: 03/27/2017] [Indexed: 11/13/2022] Open
Abstract
Although great progress has been made in the past decade toward understanding the pathogenesis of rheumatoid arthritis (RA), clinicians remain some distance from a goal of personalized health care. The capacity to diagnose RA early, predict prognosis, and moreover predict response to biologic therapies has been a research focus for many years. How currently available clinical prediction models can facilitate such goals is reviewed in this article. In addition, the role of current imaging techniques in this regard is also discussed. Finally, the authors review the current literature regarding synovial biomarkers and consider whether integration of synovial pathobiology into clinical prediction algorithms may enhance their predictive value.
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Affiliation(s)
- Frances Claire Humby
- Department of Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK
| | | | - Gloria Lliso
- Department of Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Alberto Cauli
- Dipartimento di Scienze Mediche, Facoltà di Medicina e Chirurgia, Università degli Studi di Cagliari, Cagliari, Italy
| | - Costantino Pitzalis
- Department of Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK
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Lopez B, Lliso G, Sharif M, Hughes C, Menon B, Gullick N, Gordon P. 027. URETEROHYDRONEPHROSIS SECONDARY TO INTERSTITIAL CYSTITIS ASSOCIATED TO LUPUS ENTERITIS: AN UNUSUAL PRESENTATION OF SYSTEMIC LUPUS ERYTHEMATOSUS. Rheumatology (Oxford) 2017. [DOI: 10.1093/rheumatology/kex062.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Sciascia S, Hunt B, Talavera E, Lliso G, Roccatello D, Khamashta M, Cuadrado M. OP0188 Impact of Hydroxychloroquine Treatment on Pregnancy Outcome in Patients with Antiphospholipid Antibodies. Ann Rheum Dis 2015. [DOI: 10.1136/annrheumdis-2015-eular.6127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Marrachelli VG, Monleon D, Rentero P, Mansego ML, Morales JM, Galan I, Segura R, Martinez F, Martin-Escudero JC, Briongos L, Marin P, Lliso G, Chaves FJ, Redon J. Genomic and metabolomic profile associated to microalbuminuria. PLoS One 2014; 9:e98227. [PMID: 24918908 PMCID: PMC4053470 DOI: 10.1371/journal.pone.0098227] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2013] [Accepted: 04/30/2014] [Indexed: 01/14/2023] Open
Abstract
To identify factors related with the risk to develop microalbuminuria using combined genomic and metabolomic values from a general population study. One thousand five hundred and two subjects, Caucasian, more than 18 years, representative of the general population, were included. Blood pressure measurement and albumin/creatinine ratio were measured in a urine sample. Using SNPlex, 1251 SNPs potentially associated to urinary albumin excretion (UAE) were analyzed. Serum metabolomic profile was assessed by 1H NMR spectra using a Brucker Advance DRX 600 spectrometer. From the total population, 1217 (mean age 54 ± 19, 50.6% men, ACR>30 mg/g in 81 subjects) with high genotyping call rate were analysed. A characteristic metabolomic profile, which included products from mitochondrial and extra mitochondrial metabolism as well as branched amino acids and their derivative signals, were observed in microalbuminuric as compare to normoalbuminuric subjects. The comparison of the metabolomic profile between subjects with different UAE status for each of the genotypes associated to microalbuminuria revealed two SNPs, the rs10492025_TT of RPH3A gene and the rs4359_CC of ACE gene, with minimal or no statistically significant differences. Subjects with and without microalbuminuria, who shared the same genotype and metabolomic profile, differed in age. Microalbuminurics with the CC genotype of the rs4359 polymorphism and with the TT genotype of the rs10492025 polymorphism were seven years older and seventeen years younger, respectively as compared to the whole microalbuminuric subjects. With the same metabolomic environment, characteristic of subjects with microalbuminuria, the TT genotype of the rs10492025 polymorphism seems to increase and the CC genotype of the rs4359 polymorphism seems to reduce risk to develop microalbuminuria.
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Affiliation(s)
- Vannina G. Marrachelli
- Metabolomic and Molecular Image Lab, Health Research Institute, INCLIVA, Valencia, Spain
| | - Daniel Monleon
- Metabolomic and Molecular Image Lab, Health Research Institute, INCLIVA, Valencia, Spain
| | - Pilar Rentero
- Genotyping and Genetic Diagnosis Unit, Health Research Institute, INCLIVA, Valencia, Spain
| | - María L. Mansego
- Department of Nutrition, Food Science and Physiology. University of Navarra, Pamplona, Spain
- CIBERObn, Health Institute Carlos III, Madrid, Spain
| | - Jose Manuel Morales
- Metabolomic and Molecular Image Lab, Health Research Institute, INCLIVA, Valencia, Spain
| | - Inma Galan
- Genotyping and Genetic Diagnosis Unit, Health Research Institute, INCLIVA, Valencia, Spain
| | - Remedios Segura
- Metabolomic and Molecular Image Lab, Health Research Institute, INCLIVA, Valencia, Spain
| | - Fernando Martinez
- CIBERObn, Health Institute Carlos III, Madrid, Spain
- Hypertension Unit, Internal Medicine, Hospital Clinico, Valencia, University of Valencia, Spain
| | | | - Laisa Briongos
- Hypertension Unit, Internal Medicine, Hospital Clinico, Valencia, University of Valencia, Spain
| | - Pablo Marin
- Genotyping and Genetic Diagnosis Unit, Health Research Institute, INCLIVA, Valencia, Spain
| | - Gloria Lliso
- CIBERObn, Health Institute Carlos III, Madrid, Spain
| | - Felipe Javier Chaves
- Genotyping and Genetic Diagnosis Unit, Health Research Institute, INCLIVA, Valencia, Spain
- CIBERDem, Health Institute Carlos III, Madrid, Spain
| | - Josep Redon
- CIBERObn, Health Institute Carlos III, Madrid, Spain
- Hypertension Unit, Internal Medicine, Hospital Clinico, Valencia, University of Valencia, Spain
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