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Proteomic data anal...
Proteomic data analysis for differential profiling of the autoimmune diseases SLE, RA, SS, and ANCA-associated vasculitis
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- Ohlsson, Mattias (författare)
- Högskolan i Halmstad,Halmstad University,Lund University,Lunds universitet,Beräkningsbiologi och biologisk fysik - Har omorganiserats,Institutionen för astronomi och teoretisk fysik - Har omorganiserats,Naturvetenskapliga fakulteten,Computational Biology and Biological Physics - Has been reorganised,Department of Astronomy and Theoretical Physics - Has been reorganised,Faculty of Science,CAISR Centrum för tillämpade intelligenta system (IS-lab)
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- Hellmark, Thomas (författare)
- Lund University,Lunds universitet,Autoimmunitet och njursjukdomar,Forskargrupper vid Lunds universitet,Autoimmunity and kidney diseases,Lund University Research Groups,Skåne University Hospital,Skånes universitetssjukhus, Lund, Sweden
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- Bengtsson, Anders A. (författare)
- Lund University,Lunds universitet,Lund SLE Research Group,Forskargrupper vid Lunds universitet,Lund University Research Groups,Rheumatology, Department of Clinical Sciences, Lund, Lund University, Lund, SE-221 00, Sweden; Department of Rheumatology, Skåne University Hospital, Lund and Malmö, SE-214 28, Sweden
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- Theander, Elke (författare)
- Lund University,Lunds universitet,Reumatologi,Forskargrupper vid Lunds universitet,Rheumatology,Lund University Research Groups,Rheumatology, Department of Clinical Sciences, Malmö, Lund University, Malmö, SE-221 00, Sweden
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- Turesson, Carl (författare)
- Lund University,Lunds universitet,Reumatologi,Forskargrupper vid Lunds universitet,Rheumatology,Lund University Research Groups,Department of Rheumatology, Skåne University Hospital, Lund and Malmö, SE-214 28, Sweden; Rheumatology, Department of Clinical Sciences, Malmö, Lund University, Malmö, SE-221 00, Sweden
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- Klint, Cecilia (författare)
- Immunovia AB, Lund, Sweden
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- Wingren, Christer (författare)
- Lund University,Lunds universitet,Institutionen för immunteknologi,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Immunotechnology,Departments at LTH,Faculty of Engineering, LTH,Lunds universitet, Lund, Sweden
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- Ekstrand, Anna Isinger (författare)
- Lund University,Lunds universitet,Institutionen för immunteknologi,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Immunotechnology,Departments at LTH,Faculty of Engineering, LTH,Lunds universitet, Lund, Sweden
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(creator_code:org_t)
- 2020-12-23
- 2021
- Engelska.
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Ingår i: Journal of Proteome Research. - Washington : American Chemical Society (ACS). - 1535-3893 .- 1535-3907. ; 20:2, s. 1252-1260
- Relaterad länk:
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http://dx.doi.org/10... (free)
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https://pubs.acs.org...
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https://doi.org/10.1...
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https://pubs.acs.org...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- Early and correct diagnosis of inflammatory rheumatic diseases (IRD) poses a clinical challenge due to the multifaceted nature of symptoms, which also may change over time. The aim of this study was to perform protein expression profiling of four systemic IRDs, systemic lupus erythematosus (SLE), ANCA-associated systemic vasculitis (SV), rheumatoid arthritis (RA), and Sjögren's syndrome (SS), and healthy controls to identify candidate biomarker signatures for differential classification. A total of 316 serum samples collected from patients with SLE, RA, SS, or SV and from healthy controls were analyzed using 394-plex recombinant antibody microarrays. Differential protein expression profiling was examined using Wilcoxon signed rank test, and condensed biomarker panels were identified using advanced bioinformatics and state-of-the art classification algorithms to pinpoint signatures reflecting each disease (raw data set available at https:// figshare.com/s/3bd3848a28ef6e7ae9a9.). In this study, we were able to classify the included individual IRDs with high accuracy, as demonstrated by the ROC area under the curve (ROC AUC) values ranging between 0.96 and 0.80. In addition, the groups of IRDs could be separated from healthy controls at an ROC AUC value of 0.94. Disease-specific candidate biomarker signatures and general autoimmune signature were identified, including several deregulated analytes. This study supports the rationale of using multiplexed affinity-based technologies to reflect the biological complexity of autoimmune diseases. A multiplexed approach for decoding multifactorial complex diseases, such as autoimmune diseases, will play a significant role for future diagnostic purposes, essential to prevent severe organ- and tissue-related damage.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Reumatologi och inflammation (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Rheumatology and Autoimmunity (hsv//eng)
Nyckelord
- Antibody microarray
- Autoimmune diseases
- Proteomics
- Whole blood
- antibody microarray
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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