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      A distinguishing profile of chemokines, cytokines and biomarkers in the saliva of children with Sjögren’s syndrome

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          Abstract

          Objective

          SS is an autoimmune disease most commonly diagnosed in adults but can occur in children. Our objective was to assess the presence of chemokines, cytokines and biomarkers (CCBMs) in saliva from these children that were associated with lymphocyte and mononuclear cell functions.

          Methods

          Saliva was collected from 11 children diagnosed with SS prior to age 18 years and 16 normal healthy children. A total of 105 CCBMs were detected in multiplex microparticle-based immunoassays. ANOVA and t test (0.05 level) were used to detect differences. Ingenuity Pathway Analysis (IPA) was used to assess whether elevated CCBMs were in annotations associated with immune system diseases and select leukocyte activities and functions. Machine learning methods were used to evaluate the predictive power of these CCBMs for SS and were measured by receiver operating characteristic (ROC) curve and area under curve (AUC).

          Results

          Of the 105 CCBMs detected, 43 (40.9%) differed in children with SS from those in healthy study controls ( P < 0.05) and could differentiate the two groups ( P < 0.05). Elevated CCBMs in IPA annotations were associated with autoimmune diseases and with leukocyte chemotaxis, migration, proliferation, and regulation of T cell activation. The best AUC value in ROC analysis was 0.93, indicating that there are small numbers of CCBMs that may be useful for diagnosis of SS.

          Conclusion

          While 35 of these 43 CCBMs have been previously reported in SS, 8 CCBMs had not. Additional studies focusing on these CCBMs may provide further insight into disease pathogenesis and may contribute to diagnosis of SS in children.

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          Most cited references69

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          Random Forests

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            Analysis of the human tissue-specific expression by genome-wide integration of transcriptomics and antibody-based proteomics.

            Global classification of the human proteins with regards to spatial expression patterns across organs and tissues is important for studies of human biology and disease. Here, we used a quantitative transcriptomics analysis (RNA-Seq) to classify the tissue-specific expression of genes across a representative set of all major human organs and tissues and combined this analysis with antibody-based profiling of the same tissues. To present the data, we launch a new version of the Human Protein Atlas that integrates RNA and protein expression data corresponding to ∼80% of the human protein-coding genes with access to the primary data for both the RNA and the protein analysis on an individual gene level. We present a classification of all human protein-coding genes with regards to tissue-specificity and spatial expression pattern. The integrative human expression map can be used as a starting point to explore the molecular constituents of the human body.
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              Nearest neighbor pattern classification

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                Author and article information

                Journal
                Rheumatology (Oxford)
                Rheumatology (Oxford)
                brheum
                Rheumatology (Oxford, England)
                Oxford University Press
                1462-0324
                1462-0332
                October 2021
                29 January 2021
                29 January 2021
                : 60
                : 10
                : 4765-4777
                Affiliations
                [1 ] Pediatric Dentistry
                [2 ] Iowa Institute for Oral Health Research, College of Dentistry
                [3 ] Department of Otolaryngology, College of Medicine
                [4 ] Division of Biostatistics and Computational Biology, College of Dentistry
                [5 ] Division of Rheumatology, Allergy and Immunology, Stead Family Department of Pediatrics, Carver College of Medicine
                [6 ]Department of Oral Pathology, Radiology and Medicine, College of Dentistry, University of Iowa , Iowa City, IA, USA
                Author notes
                Correspondence to: Emily A. Lanzel, Department of Oral Pathology, Radiology and Medicine, College of Dentistry, S386 DSB, 801 Newton Road, University of Iowa, Iowa City, IA 52242, USA. E-mail: emily-lanzel@ 123456uiowa.edu
                Author information
                https://orcid.org/0000-0003-3296-3867
                Article
                keab098
                10.1093/rheumatology/keab098
                8487313
                33512494
                adebeb37-6193-4961-9491-202991d0e238
                © The Author(s) 2021. Published by Oxford University Press on behalf of the British Society for Rheumatology.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 29 October 2020
                : 17 January 2021
                : 29 September 2021
                Page count
                Pages: 13
                Funding
                Funded by: Pilot Research Grant from the Sjögren’s Syndrome Foundation;
                Categories
                Clinical Science
                AcademicSubjects/MED00360

                Rheumatology
                chemokines,cytokines,biomarkers,saliva,children,sjögren’s syndrome
                Rheumatology
                chemokines, cytokines, biomarkers, saliva, children, sjögren’s syndrome

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