Lupus & antiphospholipid syndrome
Glycosylation of anti-double-stranded DNA (anti-dsDNA) immunoglobulin G (IgG) correlates with organ involvement in treatment-naïve patients with systemic lupus erythematosus
Authors' conclusion
Our study showed the effectiveness of combining glycoforms to classify and predict the degree of SLE organ involvement.
Study context
- Population
- Consecutive treatment-naïve patients with SLE positive for anti-dsDNA antibodies, Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai, 2017–2019
- Participants
- 86 patients
- Outcome
- Correlation between anti-dsDNA IgG glycoform pair levels and degree of organ involvement
Methodological detailsconsecutive enrolment, single-centre, machine learning (random forest classifier, artificial neural network)
- Consecutive enrolment
- Single-centre
- Machine learning (random forest classifier, artificial neural network)
Main finding
As reported in the abstract
Classification and prediction of degree of SLE organ involvement by anti-dsDNA IgG glycoforms
Random forest: IgG1Gal + IgG3/4Bis combination, highest accuracy
0.7692
Random forest: IgG1Gal + IgG3/4Bis combination, highest AUC
0.8187
Artificial neural network: IgG3/4Bis and IgG1Gal, lowest mean squared error
0.0244
Observational data: associations, not effects.
Further findings
Correlation between involved and uninvolved organs (Pearson)
- Strong connection between involved and uninvolved organs
Original publication
Glycosylation of anti-dsDNA IgG correlates with organ involvement in treatment-naïve patients with systemic lupus erythematosus. Lupus Sci Med. Published 1 September 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →