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Hejrati A, Taghadosi M, Alizadeh-Navaei R, Hosseinzadeh S, Bashash D, Esmaili M, Zafari P. Neopterin serum level does not reflect the disease activity in rheumatoid arthritis: A systematic review and meta-analysis. IUBMB Life 2020; 72:2563-2571. [PMID: 33089617 DOI: 10.1002/iub.2398] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 10/09/2020] [Accepted: 10/09/2020] [Indexed: 02/06/2023]
Abstract
Rheumatoid arthritis (RA) is a chronic autoimmune disease caused by established chronic inflammation. Neopterin levels have extensively been considered as a marker of immune activation during inflammation. In this study, we performed a systematic evaluation and meta-analysis to elucidate the overall relationship between neopterin concentration and RA disease activity. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines, a systematic review was conducted using PubMed, Google Scholar, Web of Science, and Scopus from 2000 to August 2020. The Newcastle-Ottawa scale was used to assess the quality of eligible studies. The effect size (ES) and corresponding 95% confidence intervals (CIs) were calculated to evaluate this association. A total of 15 studies out of 98 met our inclusion criteria. The pooled analysis found that patients with RA had high level of neopterin; however, no statistically significant association was found between neopterin levels with high, intermediate, and low diseases activity score (DAS)-28 (ES =11.18, 95% CI: 6.02 to 16.34, and I2 = 91.8%; and ES = 8.57, 95% CI: 6.41 to 10.37, and I2 = 99.5%; and ES =12.45, 95% CI: -1.68 to 26.58, and I2 = 99.0%, respectively). Our results indicated that the neopterin concentration does not seem to have any substantial impact on the RA disease activity.
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Affiliation(s)
- Alireza Hejrati
- Department of Internal Medicine, Hazrate-Rasool General Hospital, Iran University of Medical Sciences, Tehran, Iran
| | - Mahdi Taghadosi
- Department of Immunology, Faculty of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Reza Alizadeh-Navaei
- Gastrointestinal Cancer Research Center, Mazandaran University of Medical Sciences, Sari, Iran
| | - Shahnaz Hosseinzadeh
- Department of Immunology, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
- Student Research Committee, Mazandaran University of Medical Sciences, Sari, Iran
| | - Davood Bashash
- Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mozhgan Esmaili
- Department of Immunology, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
- Student Research Committee, Mazandaran University of Medical Sciences, Sari, Iran
| | - Parisa Zafari
- Department of Immunology, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
- Student Research Committee, Mazandaran University of Medical Sciences, Sari, Iran
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Bolboacă SD. Medical Diagnostic Tests: A Review of Test Anatomy, Phases, and Statistical Treatment of Data. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2019; 2019:1891569. [PMID: 31275427 PMCID: PMC6558629 DOI: 10.1155/2019/1891569] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Revised: 04/25/2019] [Accepted: 05/08/2019] [Indexed: 12/20/2022]
Abstract
Diagnostic tests are approaches used in clinical practice to identify with high accuracy the disease of a particular patient and thus to provide early and proper treatment. Reporting high-quality results of diagnostic tests, for both basic and advanced methods, is solely the responsibility of the authors. Despite the existence of recommendation and standards regarding the content or format of statistical aspects, the quality of what and how the statistic is reported when a diagnostic test is assessed varied from excellent to very poor. This article briefly reviews the steps in the evaluation of a diagnostic test from the anatomy, to the role in clinical practice, and to the statistical methods used to show their performances. The statistical approaches are linked with the phase, clinical question, and objective and are accompanied by examples. More details are provided for phase I and II studies while the statistical treatment of phase III and IV is just briefly presented. Several free online resources useful in the calculation of some statistics are also given.
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Affiliation(s)
- Sorana D. Bolboacă
- Department of Medical Informatics and Biostatistics, Iuliu Hațieganu University of Medicine and Pharmacy Cluj-Napoca, Louis Pasteur Str., No. 6, 400349 Cluj-Napoca, Romania
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Chen Y, Sud N, Hettinghouse A, Liu CJ. Molecular regulations and therapeutic targets of Gaucher disease. Cytokine Growth Factor Rev 2018; 41:65-74. [PMID: 29699937 DOI: 10.1016/j.cytogfr.2018.04.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2018] [Accepted: 04/09/2018] [Indexed: 02/07/2023]
Abstract
Gaucher disease (GD) is the most common lysosomal storage disease caused by deficiency of beta-glucocerebrosidase (GCase) resulting in lysosomal accumulation of its glycolipid substrate glucosylceramide. The activity of GCase depends on many factors such as proper folding and lysosomal localization, which are influenced by mutations in GCase encoding gene, and regulated by various GCase-binding partners including Saposin C, progranulin and heat shock proteins. In addition, proinflammatory molecules also contribute to pathogenicity of GD. In this review, we summarize the molecules that are known to be important for the pathogenesis of GD, particularly those modulating GCase lysosomal appearance and activity. In addition, small molecules that inhibit inflammatory mediators, calcium ion channels and other factors associated with GD are also described. Discovery and characterization of novel molecules that impact GD are not only important for deciphering the pathogenic mechanisms of the disease, but they also provide new targets for drug development to treat the disease.
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Affiliation(s)
- Yuehong Chen
- Department of Orthopaedic Surgery, New York University Medical Center, New York, NY 10003, USA; Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Neetu Sud
- Department of Orthopaedic Surgery, New York University Medical Center, New York, NY 10003, USA
| | - Aubryanna Hettinghouse
- Department of Orthopaedic Surgery, New York University Medical Center, New York, NY 10003, USA
| | - Chuan-Ju Liu
- Department of Orthopaedic Surgery, New York University Medical Center, New York, NY 10003, USA; Department of Cell Biology, New York University School of Medicine, New York, NY 10016, USA.
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Beaton B, Monzón JLS, Hughes DA, Pastores GM. Gaucher disease: risk stratification and comorbidities. Expert Opin Orphan Drugs 2017. [DOI: 10.1080/21678707.2017.1385455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Brendan Beaton
- Lysosomal Storage Disorder Unit, Royal Free NHS FT and University College London, London, UK
| | | | - Derralynn A. Hughes
- Lysosomal Storage Disorder Unit, Royal Free NHS FT and University College London, London, UK
- Department of Haematology and Palliative Care, Royal Free NHS FT, University College London, London, UK
| | - Gregory M. Pastores
- Department of Medicine/National Centre for Inherited Metabolic Disorders, Mater Misericordiae University Hospital and University College Dublin, Dublin, Ireland
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