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Kor A, Yalçın M, Erten Ş, Maraş Y, Oğuz EF, Doğan İ, Atalar E, Başer S, Erel Ö. 14-3-3η Proteins as a Diagnostic Marker, Disease Activation Indicator, and Lymphoma Predictor in Patients with Primary Sjögren Syndrome. ARCHIVES OF IRANIAN MEDICINE 2023; 26:582-591. [PMID: 38310415 PMCID: PMC10862092 DOI: 10.34172/aim.2023.85] [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: 10/16/2022] [Accepted: 07/03/2023] [Indexed: 02/05/2024]
Abstract
BACKGROUND Primary Sjögren syndrome (PSS) is a chronic, autoimmune, and lymphoproliferative disease of the connective tissue. In patients with PSS, the risk of developing B-cell non-Hodgkin lymphoma (NHL) increases dramatically, with a prevalence of approximately 5%. The 14-3-3 protein isoforms are phospho-serin/phospho-threonine binding proteins associated with many malignant diseases. This study aimed to evaluate the relationship between disease activity parameters and markers predicting lymphoma development in patients with PSS and 14-3-3η proteins. METHODS This study was designed as an analytical case-control study. A total of 57 PSS patients and 54 healthy volunteers were included in the study. The European League Against Rheumatism (EULAR) Sjögren syndrome disease activity index (ESSDAI) was used to assess systemic disease activity in PSS. Receiver operating characteristic (ROC) analysis was used to test the diagnostic accuracy measures of the analytical results. Multivariable linear regression analysis was used to evaluate the effects of independent variables on the 14-3-3η protein. RESULTS The 14-3-3η protein serum levels were found to be significantly higher in PSS (2.72 [2.04-4.07]) than healthy controls (1.73 [1.41-2.43]) (P<0.0001). A significant relationship was found between 14-3-3η protein levels and ESSDAI group (β=0.385, 95%CI=0.318-1.651, P=0.005), hypocomplementemia (C3 or C4) (β=0.223, 95% CI=0.09-1.983, P=0.048) and purpura (β=0.252, 95% CI=0.335-4.903, P=0.022), which are accepted as lymphoma predictors. A significant correlation was found between PSS disease activity score ESSDAI and 14-33η protein (β=0.496, 95% CI=0.079-0.244, P=0.0002). CONCLUSION 14-3-3η proteins are potential candidates for diagnostic marker, marker of disease activity, and predictor of lymphoma in PSS patients.
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Affiliation(s)
- Ahmet Kor
- Department of Rheumatology, Aksaray Education and Research Hospital, Aksaray, Turkey
| | - Merve Yalçın
- Department of Internal Medicine, Ankara Bilkent City Hospital, Ministry of Health, Ankara, Turkey
| | - Şükran Erten
- Department of Rheumatology, Faculty of Medicine Ankara Bilkent City Hospital, Ankara Yıldırım Beyazıt University, Ankara, Turkey
| | - Yüksel Maraş
- Department of Rheumatology, Ankara Bilkent City Hospital, Health Sciences University, Ankara, Turkey
| | - Esra Fırat Oğuz
- Department of Medical Biochemistry, Ankara Bilkent City Hospital, Ministry of Health, Ankara, Turkey
| | - İsmail Doğan
- Department of Rheumatology, Faculty of Medicine Ankara Bilkent City Hospital, Ankara Yıldırım Beyazıt University, Ankara, Turkey
| | - Ebru Atalar
- Department of Rheumatology, Ankara Bilkent City Hospital, Ministry of Health, Ankara, Turkey
| | - Salih Başer
- Department of Internal Medicine, Faculty of Medicine Ankara Bilkent City Hospital, Ankara Yıldırım Beyazıt University, Ankara, Turkey
| | - Özcan Erel
- Department of Medical Biochemistry, Faculty of Medicine Ankara Bilkent City Hospital, Ankara Yıldırım Beyazıt University, Ankara, Turkey
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Jones G, Lee TJ, Glass J, Rountree G, Ulrich L, Estes A, Sezer M, Zhi W, Sharma S, Sharma A. Comparison of Different Mass Spectrometry Workflows for the Proteomic Analysis of Tear Fluid. Int J Mol Sci 2022; 23:2307. [PMID: 35216421 PMCID: PMC8875482 DOI: 10.3390/ijms23042307] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 02/01/2022] [Accepted: 02/15/2022] [Indexed: 12/17/2022] Open
Abstract
The tear film is a multi-layer fluid that covers the corneal and conjunctival epithelia of the eye and provides lubrication, nutrients, and protection from the outside environment. Tear fluid contains a high concentration of proteins and has thus been recognized as a potential source of biomarkers for ocular disorders due to its proximity to disease sites on the ocular surface and the non-invasive nature of its collection. This is particularly true in the case of dry eye disease, which directly impacts the tear film and its components. Proteomic analysis of tear fluid is challenging mainly due to the wide dynamic range of proteins and the small sample volumes. However, recent advancements in mass spectrometry have revolutionized the field of proteomics enabling unprecedented depth, speed, and accuracy, even with small sample volumes. In this study using the Orbitrap Fusion Tribrid mass spectrometer, we compared four different mass spectrometry workflows for the proteomic analysis of tear fluid collected via Schirmer strips. We were able to establish a method of in-strip protein digestion that identified >3000 proteins in human tear samples from 11 healthy subjects. Our method offers a significant improvement in the number of proteins identified compared to previously reported methods without pooling samples.
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Affiliation(s)
- Garrett Jones
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | - Tae Jin Lee
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | - Joshua Glass
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | - Grace Rountree
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | - Lane Ulrich
- Department of Ophthalmology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | - Amy Estes
- Department of Ophthalmology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | - Mary Sezer
- Department of Ophthalmology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | - Wenbo Zhi
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | - Shruti Sharma
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
- Department of Ophthalmology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | - Ashok Sharma
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
- Department of Ophthalmology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
- Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
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