Abstract:Objective
Many Native American (
NA
) patients with systemic lupus erythematosus (
SLE
) do not exhibit the classical
SLE
autoantibody profiles of European American (
EA
) and African American (
AA
) patients with
SLE
. The poorer
SLE
disease outcomes noted in
NA
patients highlights a … Show more
“…While the presence of autoAbs to a diverse array of nuclear and non-nuclear autoAgs has been previously noted in SLE [20,[27][28][29], here we show that this can also be seen in some ANA þ individuals lacking a SARD diagnosis. This finding indicates that a broad breach of B cell tolerance can be seen in the absence of clinical disease activity and raises the possibility that it results from the genetic polymorphisms that promote disease.…”
Section: Discussionsupporting
confidence: 76%
“…Previous studies have contrasted the performance of different immunoassay techniques to detect autoAbs in individuals with SARD [20,[27][28][29]. However, in general these studies have investigated their diagnostic utility in comparison with HCs, unaffected relatives and/or individuals with non-SARD musculoskeletal conditions [2,[30][31][32][33].…”
Objective
We investigated the auto-antibody (auto-Ab) profiles in anti-nuclear antibody-positive (ANA+) individuals lacking Systemic Autoimmune Rheumatic Disease (SARD) and early SARD patients, to determine the key differences between these groups and identify factors that are associated with an increased risk of symptomatic progression within the next two years in ANA+ individuals.
Methods
Using custom antigen (Ag) microarrays, 144 IgM and IgG auto-Abs were surveyed in 84 asymptomatic and 123 symptomatic (48 undifferentiated connective tissue disease (UCTD) and 75 SARD patients) ANA+ individuals. Auto-Ab were compared in ANA+ individuals lacking a SARD diagnosis with ≥ 2 years follow-up (n = 52), including all those who demonstrated progression (n = 14) during this period, with changes over time assessed in a representative subset.
Results
We show that ANA+ individuals have auto-Ab to many self-Ag that are not being captured by current screening techniques and very high levels of these auto-Abs are predominantly restricted to early SARD patients, with SLE patients displaying reactivity to many more auto-Ags than the other groups. In general, the symptoms that developed in progressors mirrored those seen in SARD patients with similar patterns of auto-Ab. Only anti-Ro52 Abs were found to predict progression (positive predictive value 46%, negative predictive value 89%). Surprisingly, over 2 years follow-up the levels of auto-Ab remained remarkably stable regardless of whether individuals progressed or not.
Conclusion
Our findings strongly argue that development of assays with an expanded set of auto-Ags and enhanced dynamic range would improve the diagnostic and prognostic ability of auto-Ab testing.
“…While the presence of autoAbs to a diverse array of nuclear and non-nuclear autoAgs has been previously noted in SLE [20,[27][28][29], here we show that this can also be seen in some ANA þ individuals lacking a SARD diagnosis. This finding indicates that a broad breach of B cell tolerance can be seen in the absence of clinical disease activity and raises the possibility that it results from the genetic polymorphisms that promote disease.…”
Section: Discussionsupporting
confidence: 76%
“…Previous studies have contrasted the performance of different immunoassay techniques to detect autoAbs in individuals with SARD [20,[27][28][29]. However, in general these studies have investigated their diagnostic utility in comparison with HCs, unaffected relatives and/or individuals with non-SARD musculoskeletal conditions [2,[30][31][32][33].…”
Objective
We investigated the auto-antibody (auto-Ab) profiles in anti-nuclear antibody-positive (ANA+) individuals lacking Systemic Autoimmune Rheumatic Disease (SARD) and early SARD patients, to determine the key differences between these groups and identify factors that are associated with an increased risk of symptomatic progression within the next two years in ANA+ individuals.
Methods
Using custom antigen (Ag) microarrays, 144 IgM and IgG auto-Abs were surveyed in 84 asymptomatic and 123 symptomatic (48 undifferentiated connective tissue disease (UCTD) and 75 SARD patients) ANA+ individuals. Auto-Ab were compared in ANA+ individuals lacking a SARD diagnosis with ≥ 2 years follow-up (n = 52), including all those who demonstrated progression (n = 14) during this period, with changes over time assessed in a representative subset.
Results
We show that ANA+ individuals have auto-Ab to many self-Ag that are not being captured by current screening techniques and very high levels of these auto-Abs are predominantly restricted to early SARD patients, with SLE patients displaying reactivity to many more auto-Ags than the other groups. In general, the symptoms that developed in progressors mirrored those seen in SARD patients with similar patterns of auto-Ab. Only anti-Ro52 Abs were found to predict progression (positive predictive value 46%, negative predictive value 89%). Surprisingly, over 2 years follow-up the levels of auto-Ab remained remarkably stable regardless of whether individuals progressed or not.
Conclusion
Our findings strongly argue that development of assays with an expanded set of auto-Ags and enhanced dynamic range would improve the diagnostic and prognostic ability of auto-Ab testing.
“…Recently, there is a huge attention to the use of autoantibodies as a predictor of disease progression in early SLE, hoping to limit the morbidity and mortality [22]. Guthridge et al concluded that studying the ANA profile may have a prognostic value in SLE patients [23]. On studying the ANA profile in our patients, we found that anti-dsDNA, anti-nucleosome, anti-histone, anti-Ro60, and anti-Ro52 autoantibodies were implicated with the highest frequency, so we evaluated the alleged role for their use as biomarkers for SLE and their relationship with disease activity and renal affection.…”
Background
Specific autoantibodies are considered as an important marker in autoimmune rheumatic diseases and are of great value for the diagnosis and prognosis of systemic lupus erythematosus (SLE) patients. A total of eighteen autoantibodies were analyzed for their positivity in SLE patients and we evaluated the clinical relevance of the five most frequent autoantibodies: anti-dsDNA, anti-nucleosome, anti-histone, anti-Ro60, and anti-Ro52 on disease activity and renal affection in SLE Egyptian patients.
Results
Immunological profile and correlation of the five autoantibodies with disease activity and histopathological pattern of renal involvement were analyzed for 190 SLE patients. Lupus nephritis (LN) patients showed much worse constitutional and mucocutaneous manifestations than patients without nephritis. Autoantibody profile showed a significant increased frequency of anti-dsDNA, anti-nucleosome, anti-histone, anti-Ro-60, and anti-Ro52 antibodies in LN patients. The impact of the co-positivity of the autoantibodies on the renal function was obvious. Moreover, the disease activity increased by the increased frequency of autoantibodies positivity in LN patients. ROC curve analysis showed that anti-nucleosome had the highest sensitivity; 93% followed by anti-dsDNA 83.3% then anti-histone 73.8%, but anti-Ro60 and anti-Ro52 showed a humble sensitivity. Furthermore, the highest frequency of positivity for the five autoantibodies was found in class-III and class-IV LN patients.
Conclusion
Detection of anti-dsDNA, anti-nucleosome, anti-histone, and anti-Ro60 in SLE patients may be important for predicting disease progression and kidney affection. Moreover, anti-nucleosome and anti-dsDNA show high sensitivity and specificity for lupus nephritis, thus patients with four to five positive autoantibody panels should be kept under close monitoring as they may warrant considering aggressive therapy to control their disease and prevent renal damage.
“…Major shortcomings exist in the identification and treatment of NA patients with rheumatic disease contributed by uncharacteristic clinical presentations in NA patients compared with those of White and African ancestry that define standard classification criteria (8,39). Furthermore, the heterogeneity and overlap of autoimmune disease symptomology pose significant challenges for diagnosis, treatment, research, and clinical trials.…”
Objective. Native American (NA) populations have higher rates of rheumatic disease and present with overlapping disease symptoms and nontraditional serologic features, thus presenting an urgent need for better biomarkers in NA diagnostics. This study used a machine learning approach to identify immune signatures that more effectively stratify NA patients with rheumatic disease.Methods. Adult NA patients with autoantibody-positive (AAB+) rheumatoid arthritis (RA; n = 28), autoantibody negative (AAB−) RA (n = 18), systemic autoimmune rheumatic disease (n = 28), arthralgia/osteoarthritis (n = 28), or polyarthritis/undifferentiated connective tissue disease (n = 28), and control patients (n = 28) provided serum samples for cytokine, chemokine, and AAB assessment. Random forest clustering and soluble mediator groups were used to identify patients and control patients with similar biologic signatures. The American College of Rheumatology criteria specific for systemic disease and RA identified differences in disease manifestations across clusters.Results. Serum soluble mediators were not homogenous between different NA rheumatic disease diagnostic groups, reflecting the heterogeneity of autoimmune diseases. Clustering by serum biomarkers created 5 analogous immune phenotypes. Soluble mediators and pathways associated with chronic inflammation and involvement of the innate, B cell, T follicular helper cell, and interferon-associated pathways, along with regulatory signatures, distinguished the 5 immune signatures among patients. Select clinical features were associated with individual immune profiles. Patients with low inflammatory and higher regulatory signatures were more likely to have few clinical manifestations, whereas those with T cell pathway involvement had more arthritis.Conclusion. Serum protein signatures distinguished NA patients with rheumatic disease into distinct immune subsets. Following these immune profiles over time may assist with earlier diagnoses and help guide more personalized treatment approaches.
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