Salivary β2-microglobulin positively correlates with ESSPRI in patients with primary Sjögren's syndrome

Garza‐García, Felipe; Delgado‐García, Guillermo; Garza‐Elizondo, Mario Alberto; Ceceñas-Falcón, Luis Ángel; Galarza‐Delgado, Dionicio Ángel; Riega-Torres, Janett

doi:10.1016/j.rbre.2016.11.001

Cited by 3 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As noted in a previous report, 10 our protocol was similar to that formerly described by Castro et al 4 Unstimulated whole saliva samples were collected at the fasting state, in the morning, by passive spitting into containers over 15 minutes. These samples were thus centrifuged at 14,000¥g for 20 minutes at +4°C prior to assaying.…”

Section: Methodsmentioning

confidence: 99%

Beta-2 Microglobulin in Whole Unstimulated Saliva Can Effectively Distinguish Between Sjögren’s Syndrome and Non-Autoimmune Sicca Symptoms

et al. 2017

Self Cite

View full text Add to dashboard Cite

Objectives: This study aims to describe salivary beta-2 microglobulin (sB2M) levels in our setting and to assess the performance of sB2M for the diagnosis of Sjögren's syndrome (SS). Patients and methods:This cross-sectional, comparative study included 192 SS patients (2 males, 190 females; mean age 53.1 years; range 23 to 84 years) and 64 healthy controls (1 male, 63 females; mean age 46.9 years; range 21 to 82 years). Patients were divided into three groups as those with primary SS, secondary SS, and sicca non-Sjögren's syndrome (snSS). sB2M was measured by enzyme-linked immunosorbent assay in whole unstimulated saliva (ng/mL). Differences in sB2M were evaluated using the Kruskal-Wallis test. Receiver operating curves were generated to determine the performance of sB2M for distinguishing between SS and non-autoimmune snSS groups, and between SS group and healthy controls. Results: The primary SS and secondary SS groups had a significantly higher concentration of sB2M than the other two groups. There was no significant difference in the concentration of sB2M between primary SS and secondary SS groups, and neither between snSS group and healthy controls. The receiver operating curve analysis for distinguishing SS and snSS showed an area under the curve of 0.661 (95% confidence interval 0.590-0.728, p=0.0001) with an optimal cutoff value of 0.582 ng/mL. Sensitivity, specificity, positive predictive value, and negative predictive value were 68.7%, 59.3%, 20.2%, and 92.7%, respectively. The reported prevalence of SS in Mexico was considered when calculating the last two values. Conclusion: In our setting, sB2M effectively distinguished between SS patients and non-autoimmune sicca symptoms. Including sB2M in our conventional diagnostic arsenal may assist in the evaluation of patients in whom SS is suspected; however, further studies are needed to clarify this hypothesis.

show abstract

Section: Methodsmentioning

confidence: 99%

Beta-2 Microglobulin in Whole Unstimulated Saliva Can Effectively Distinguish Between Sjögren’s Syndrome and Non-Autoimmune Sicca Symptoms

et al. 2017

Self Cite

View full text Add to dashboard Cite

show abstract

“…This has prompted research into the diagnostic and prognostic value of salivary biomarkers for pSS to facilitate early treatment and reduce the associated complications. In comparison to healthy patients, patients with pSS have an increased salivary expression of S100A proteins, directly related to IL-12 production pathways [ 81 ]; proteins vital for innate MHC class I cellular regulation (NGAL) and T-cell activation (CD44) [ 101 ]; and β-2 macroglobulin (B2M), which has been significantly correlated with lymphocyte infiltration in labial salivary glands [ 102 ]. Recently, auto-antibodies to salivary protein-1 (SP-1), parotid secretory protein (PSP), and carbonic anhydrase VI (CA-6) [ 103 , 104 ] have been proposed as biomarkers for an early pSS diagnosis to reduce complications and improve the prognosis.…”

Section: Biomarkers In Saliva In Different Oral Diseasesmentioning

confidence: 99%

Salivary Biomarkers and Their Application in the Diagnosis and Monitoring of the Most Common Oral Pathologies

Melguizo‐Rodríguez

Costela‐Ruiz

Manzano-Moreno

et al. 2020

IJMS

View full text Add to dashboard Cite

Saliva is a highly versatile biological fluid that is easy to gather in a non-invasive manner—and the results of its analysis complement clinical and histopathological findings in the diagnosis of multiple diseases. The objective of this review was to offer an update on the contribution of salivary biomarkers to the diagnosis and prognosis of diseases of the oral cavity, including oral lichen planus, periodontitis, Sjögren’s syndrome, oral leukoplakia, peri-implantitis, and medication-related osteonecrosis of the jaw. Salivary biomarkers such as interleukins, growth factors, enzymes, and other biomolecules have proven useful in the diagnosis and follow-up of these diseases, facilitating the early evaluation of malignization risk and the monitoring of disease progression and response to treatment. However, further studies are required to identify new biomarkers and verify their reported role in the diagnosis and/or prognosis of oral diseases.

show abstract

“…Elevated salivary β2m is considered to result from lymphocytes activation and infiltration in salivary glands of patients with SS. A study found that salivary β2m measured by ELISA was positively correlated with the EULAR Sjögren’s Syndrome Patient Reported Index (ESSPRI) and histopathological change in 71 patients with pSS, and the AUC of salivary β2m was 0.965 (95% confidence interval 0.891–0.994; p < 0.0001) [ 33 ]. The concentration of salivary β2m might be a reliable biomarker for differentiating SS and representing disease activity of SS.…”

Section: Salivary Biomarkers Of Sjogren’s Syndromementioning

confidence: 99%

Salivary Biomarkers in Patients with Sjögren’s Syndrome—A Systematic Review

Jung

Kim

et al. 2021

IJMS

View full text Add to dashboard Cite

Sjögren’s syndrome (SS) is a chronic autoimmune disease characterized by dry mouth and dry eyes, with lymphocytic infiltration of the exocrine glands. Saliva is becoming a useful tool to determine the clinical and pathological characteristics of SS because the collection method is easy and non-invasive. Since 1900, salivary proteomic analysis has been performed continuously using a variety of optimized analytical methods. Many studies have identified distinct characteristics of salivary proteins in patients with primary SS, and the changes were related to chronic inflammation and overproduction of immunoglobulins or downregulated secretory function. Several proteomic studies using whole or parotid saliva have evaluated whether several salivary proteins can be used to discriminate SS, including salivary β2-microglobulin, calprotectin, carbonic anhydrase VI, neutrophil gelatinase-associated lipocalin, sialic acid-binding immunoglobulin-like lectin-5, and tripartite motif-containing protein 29. In addition, salivary proinflammatory cytokine levels have been reported to be increased in patients with SS. Although these candidate salivary proteins have exhibited considerable differences in patients with SS, more data are needed to confirm their role as biomarkers. Moreover, the identification of salivary characteristics that can accurately reflect disease activity, predict treatment response and prognosis, and diagnose SS is anticipated.

show abstract

Salivary β2-microglobulin positively correlates with ESSPRI in patients with primary Sjögren's syndrome

Cited by 3 publications

References 13 publications

Beta-2 Microglobulin in Whole Unstimulated Saliva Can Effectively Distinguish Between Sjögren’s Syndrome and Non-Autoimmune Sicca Symptoms

Beta-2 Microglobulin in Whole Unstimulated Saliva Can Effectively Distinguish Between Sjögren’s Syndrome and Non-Autoimmune Sicca Symptoms

Salivary Biomarkers and Their Application in the Diagnosis and Monitoring of the Most Common Oral Pathologies

Salivary Biomarkers in Patients with Sjögren’s Syndrome—A Systematic Review

Contact Info

Product

Resources

About