Do anti-DFS70 antibodies temper disease activity and progression in SLE?

Choi, May Y.; Clarke, Ann E.; Fritzler, Marvin J.

doi:10.1177/0961203321990439

Cited by 2 publications

(4 citation statements)

References 4 publications

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“…Although it was not the objective of the present study, in the literature it is found some plausible biological factors that may explain the lower frequency of lupus nephritis when PolyA is present in a SLE patient. Among them, the expression of Dense-Fine-Speckled-70 (anti-DFS70) antibodies that confer a protective role against renal injury in murine lupus nephritis [ 45 , 46 ]. These antibodies are present and increased in patients with thrombophilia [ 47 , 48 ], such as in APS case, the most frequent PolyA found in this study.…”

Section: Discussionmentioning

confidence: 99%

Polyautoimmunity in systemic lupus erythematosus patients: New insights from a cross-sectional study

Santos-Moreno¹,

Arias-Aponte²,

Rodríguez-Vargas³

et al. 2023

Journal of Translational Autoimmunity

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Section: Discussionmentioning

confidence: 99%

Polyautoimmunity in systemic lupus erythematosus patients: New insights from a cross-sectional study

Santos-Moreno¹,

Arias-Aponte²,

Rodríguez-Vargas³

et al. 2023

Journal of Translational Autoimmunity

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“…In an earlier SLICC study, monospecific anti-DFS70 (no other detectable autoantibodies) at disease inception has been shown to be uncommon in SLE (1.1%). 34 In this longitudinal study, the results of anti-DFS70 in cluster 2 suggest that it may be a good prognostic biomarker among those with established disease.…”

Section: Discussionmentioning

confidence: 63%

“…Epitope spreading in genetically susceptible individuals may also explain why these two high risk clusters (1 and 4) had distinct patterns of autoantibody reactivities. 33,34 For instance, autoantibodies to Sm and U1RNP, which were frequently observed in Cluster 1, are directed against distinct components of related macromolecular complexes. For example, U1RNP is one of several small nuclear ribonucleoprotein particles (snRNP), each consisting of a unique small nuclear RNA (U1-U6 RNAs), specific associated proteins, and common core Smith (Sm) proteins.…”

Section: Discussionmentioning

confidence: 99%

“…35 Therefore, autoantibodies can exist in "linked" sets, a well described phenomena that helps explain co-prevalence of many autoantibodies. 33,34 Another high-risk profile cluster was cluster 3, which had multiple elevated APLAs and severe disease outcomes including seizures and mortality. In a prior SLICC study of lupus anticoagulant, anti-cardiolipin, and anti-ß2GP1 tested at baseline, only an association between lupus anticoagulant and increased risk of cerebrovascular disease (p= 0.04) could be detected.…”

Section: Discussionmentioning

confidence: 99%

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Machine learning identifies clusters of longitudinal autoantibody profiles predictive of systemic lupus erythematosus disease outcomes

et al. 2023

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ObjectivesA novel longitudinal clustering technique was applied to comprehensive autoantibody data from a large, well-characterised, multinational inception systemic lupus erythematosus (SLE) cohort to determine profiles predictive of clinical outcomes.MethodsDemographic, clinical and serological data from 805 patients with SLE obtained within 15 months of diagnosis and at 3-year and 5-year follow-up were included. For each visit, sera were assessed for 29 antinuclear antibodies (ANA) immunofluorescence patterns and 20 autoantibodies. K-means clustering on principal component analysis-transformed longitudinal autoantibody profiles identified discrete phenotypic clusters. One-way analysis of variance compared cluster enrolment demographics and clinical outcomes at 10-year follow-up. Cox proportional hazards model estimated the HR for survival adjusting for age of disease onset.ResultsCluster 1 (n=137, high frequency of anti-Smith, anti-U1RNP, AC-5 (large nuclear speckled pattern) and high ANA titres) had the highest cumulative disease activity and immunosuppressants/biologics use at year 10. Cluster 2 (n=376, low anti-double stranded DNA (dsDNA) and ANA titres) had the lowest disease activity, frequency of lupus nephritis and immunosuppressants/biologics use. Cluster 3 (n=80, highest frequency of all five antiphospholipid antibodies) had the highest frequency of seizures and hypocomplementaemia. Cluster 4 (n=212) also had high disease activity and was characterised by multiple autoantibody reactivity including to antihistone, anti-dsDNA, antiribosomal P, anti-Sjögren syndrome antigen A or Ro60, anti-Sjögren syndrome antigen B or La, anti-Ro52/Tripartite Motif Protein 21, antiproliferating cell nuclear antigen and anticentromere B). Clusters 1 (adjusted HR 2.60 (95% CI 1.12 to 6.05), p=0.03) and 3 (adjusted HR 2.87 (95% CI 1.22 to 6.74), p=0.02) had lower survival compared with cluster 2.ConclusionFour discrete SLE patient longitudinal autoantibody clusters were predictive of long-term disease activity, organ involvement, treatment requirements and mortality risk.

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Do anti-DFS70 antibodies temper disease activity and progression in SLE?

Cited by 2 publications

References 4 publications

Polyautoimmunity in systemic lupus erythematosus patients: New insights from a cross-sectional study

Polyautoimmunity in systemic lupus erythematosus patients: New insights from a cross-sectional study

Machine learning identifies clusters of longitudinal autoantibody profiles predictive of systemic lupus erythematosus disease outcomes

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