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Updated: Sep 11, 2025

Simultaneous Distinction of Monospecific and Mixed DFS70 Patterns During ANA Screening with a Novel HEp-2 ELITE/DFS70 Knockout Substrate
Published on: January 17, 2018
Anti-MDA5 antibody IgG1 subtype is associated with rapidly progressive interstitial lung disease in
Yun Wu1,2, Yue Wang1, Yulu Qiu1
1Department of Rheumatology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu, China.
Background:
Rapidly progressive interstitial lung disease (RP-ILD) is a severe, often fatal complication in patients with anti-melanoma differentiation-associated gene 5 antibody-positive dermatomyositis (MDA5+ DM). Early prediction of RP-ILD still remains challenging. We aimed to explore the link between anti-MDA5 IgG subtypes and ILD prognosis in individuals with MDA5+ DM.
Methods:
In a retrospective study involving 71 MDA5+ DM-ILD patients, initial serum titers of anti-MDA5 IgG subtypes were measured using indirect immunofluorescence. We then analyzed the associations between these IgG subclasses and the development of RP-ILD.
Result:
Of the 71 patients, 30% developed RP-ILD. RP-ILD patients had a shorter disease course and a higher mortality rate than non-RP-ILD patients (both P < 0.001). A notable link was found between RP-ILD and anti-MDA5 IgG1 (P < 0.05), with 100% of RP-ILD patients showing IgG1 titers ≥ 1:100. Additionally, IgG3 positivity was more prevalent in RP-ILD (P < 0.05). Multivariate logistic regression analysis identified high titers of anti-MDA5 IgG1 and a high neutrophil-lymphocyte ratio (NLRhigh≥5.22) as independent risk factors for RP-ILD (P = 0.020, 0.017, respectively). The combination of anti-MDA5 IgG1 ≥ 1:100 with an NLR ≥ 5.22 improved the predictive accuracy for RP-ILD, yielding an AUC of 0.80.
Conclusions:
Elevated anti-MDA5 IgG1 titers are strongly related to RP-ILD in MDA5+ DM and function as an important marker for early detection of individuals at high risk. Combining anti-MDA5 IgG1 levels with NLR further enhances predictive accuracy for RP-ILD, offering a practical approach for clinical monitoring and early intervention.
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