Systematic analysis for clinical characteristics and outcomes of IgG4-related disease patients during the COVID-19 pandemic.

BACKGROUND: To systematically describe clinical characteristics and investigate factors associated with COVID-19-related infection, hospital admission, and IgG4-related disease relapse in IgG4-RD patients. METHODS: Physician-reported IgG4-RD patients were included in this retrospective study. Using multivariable logistic regression analysis to determine factors for primary outcome (COVID-19-related IgG4-RD relapse) and secondary outcome (COVID-19-related infection and hospital admission). Covariates included age, sex, body mass index, smoking status, comorbidities, IgG4-RD clinical features, and treatment strategies. RESULTS: Among 649 patients, 530 had a diagnosis of COVID-19, 25 had COVID-19-related hospital admission, and 69 had COVID-19-related IgG4-RD relapse. Independent factors associated with COVID-19 infection were age (OR, 0.98; 95% CI, 0.96-1.00), body mass index (1.10, 1.03-1.18), and tofacitinib (0.34, 0.14-0.79). Further analysis indicated that age (1.10, 1.03-1.16), coronary heart disease (24.38, 3.33-178.33), COVID-19-related dyspnea (7.11, 1.85-27.34), pulmonary infection (73.63, 16.22-4615.34), and methotrexate (17.15, 1.93-157.79) were associated with a higher risk of COVID-19-related hospital admission. Importantly, age (0.93, 0.89-0.98), male sex (0.16, 0.03-0.80), ever/current smoking (19.23, 3.78-97.80), COVID-19-related headache (2.98, 1.09-8.17) and psychiatric symptoms (3.12, 1.07-9.10), disease activity before COVID-19 (1.89, 1.02-3.51), number of involved organs (1.38, 1.08-1.76), glucocorticoid dosage (1.08, 1.03-1.13), and methotrexate (5.56, 1.40-22.08) were strong factors for COVID-19-related IgG4-RD relapse. CONCLUSIONS: Our data add to evidence that smoking and disease-specific factors (disease activity, number of involved organs, and specific medications) were risk factors of COVID-19-related IgG4-RD relapse. The results highlight the importance of adequate disease control with b/tsDMARDs, preferably without using methotrexate and increasing glucocorticoid dosages in the COVID-19 era. Key Points • COVID-19-related infection or hospital admission were associated with known general factors (age, body mass index, specific comorbidities and methotrexate) among IgG4-RD patients. • Smoking and disease-specific factors (disease activity, number of involved organs and specific medications) were associated with higher odds of COVID-19-related IgG4-RD relapse. • The results highlight the importance of adequate disease control with b/tsDMARDs, preferably without using methotrexate or increasing glucocorticoid dosages.

Performance of the 2019 ACR/EULAR Classification Criteria for IgG4-Related Disease in a Large Chinese Cohort.

OBJECTIVE: The purpose of this research was to ascertain the effectiveness of the newly established criteria for classifying IgG4-related disease (IgG4-RD), as applied to a large Chinese cohort in real-world clinical settings. METHODS: Patient data were procured from the digital health records of 4 prominent academic hospitals. The criterion standard for identifying IgG4-RD patients was from a seasoned rheumatologist. The control group consisted of individuals with other ailments such as cancer, other forms of pancreatitis, infectious diseases, and illnesses that mimic IgG4-RD. RESULTS: A total of 605 IgG4-RD patients and 760 mimickers were available for analysis. The 2019 EULAR/ACR criteria have a sensitivity of 69.1% and a specificity of 90.9% in this large Chinese cohort. IgG4-RD had a greater proportion of males (55.89% vs 36.25%, p < 0.001), an older average age at diagnosis (54.91 ± 13.44 vs 48.91 ± 15.71, p < 0.001), more pancreatic (29.59% vs 6.12%, p < 0.001) and salivary gland (63.30% vs 27.50%, p < 0.001) involvement, and a larger number of organ involvement (3.431 ± 2.054 vs 2.062 ± 1.748, p < 0.001) compared with mimickers. CONCLUSIONS: The 2019 EULAR/ACR criteria are effective in classifying IgG4-RD in Chinese patients, demonstrating high specificity and moderate sensitivity.

Metagenome-wide association study of gut microbiome features for myositis.

PURPOSE: The clinical relevance and pathogenic role of gut microbiome in both myositis and its associated interstitial lung disease (ILD) are still unclear. The purpose of this study was to investigate the role of gut microbiome in myositis through comprehensive metagenomic-wide association studies (MWAS). METHODS: We conducted MWAS of the myositis gut microbiome in a Chinese cohort by using whole-genome shotgun sequencing of high depth, including 30 myositis patients and 31 healthy controls (HC). Among the myositis patients, 11 developed rapidly progressive interstitial lung disease (RP-ILD) and 10 had chronic ILD (C-ILD). RESULTS: Analysis for overall distribution level of the bacteria showed Alistipes onderdonkii, Parabacteroides distasonis and Escherichia coli were upregulated, Lachnospiraceae bacterium GAM79, Roseburia intestinalis, and Akkermansia muciniphila were downregulated in patients with myositis compared to HC. Bacteroides thetaiotaomicron, Parabacteroides distasonis and Escherichia coli were upregulated, Bacteroides A1C1 and Bacteroides xylanisolvens were downregulated in RP-ILD cases compared with C-ILD cases. A variety of biological pathways related to metabolism were enriched in the myositis and HC, RP-ILD and C-ILD comparison. And in the analyses for microbial contribution in metagenomic biological pathways, we have found that E. coli played an important role in the pathway expression in both myositis group and myositis-associated RP-ILD group. Anti-PL-12 antibody, anti-Ro-52 antibody, and anti-EJ antibody were found to have positive correlation with bacterial diversity (Shannon-wiener diversity index and Chao1, richness estimator) between myositis group and control groups. The combination of E. coli and R. intestinalis could distinguish myositis group from HC effectively. R. intestinalis can also be applied in the distinguishment of RP-ILD group vs. C-ILD group in myositis patients. CONCLUSION: Our MWAS study first revealed the link between gut microbiome and pathgenesis of myositis, which may help us understand the role of gut microbiome in the etiology of myositis and myositis-associated RP-ILD.

The composition and function profile of the gut microbiota of patients with primary Sjögren's syndrome.

OBJECTIVES: This healthy volunteer control-based study was conducted to explore alterations of compositions and function of gut microbiota in Chinese pSS patients. METHOD: The high-throughput Illumina Miseq sequencing method, targeting the V3-V4 region of the 16S ribosomal RNA (rRNA) gene, was used to compare the microbiota communities between 30 pSS patients and 30 age-matched healthy volunteers. The intestinal dysbiosis of pSS patients was evaluated and its correlation with some disease phenotypes was analyzed. Furthermore, we performed the amino acid sequence alignment analysis to illustrate the molecular mimicry patterns of new microbial peptides. RESULTS: Compared with that in healthy controls, the composition and function of the gut microbiota significantly differed in pSS patients. Certain genera and species, including genera: Escherichia-Shigella, Sardovia, Veillonella, Insteinimonas, and Lactobacillales; species: Escherichia coli, Lactobacillus phage Sal3, Lactobacillus reuteri, Lactobacillus gasseri, Streptococcus lutetiensis, Streptococcus mutans, Scardovia wiggsiae, and Fusobacterrium ulcerans were found to be enriched in the feces of pSS patients, while butyrate-producing bacteria were less abundant in pSS patients. Certain genera (including Lactobacillales) and species (including Lactobacillus gasseri) were associated with disease severity and therapy resistance parameters. Autoantigen epitopes of "WPSALPT, NPARSFG, MNPARSFG, and AFGLAIGT" from aquaporin-5 were aligned perfectly with one enriched microbiota of patients with pSS, namely Escherichia coli. CONCLUSIONS: The composition and function of the gut microbiota significantly differed in pSS patients compared with that in healthy controls. Our study would facilitate the possible research on the role of gut microbiota in the pathogenesis of pSS.

Modification of Intestinal Microbiota Dysbiosis by Low-Dose Interleukin-2 in Dermatomyositis: A Post Hoc Analysis From a Clinical Trial Study.

The microbiota has been observed altered in autoimmune diseases, including idiopathic inflammatory myopathies (IIMs), and associated with different treatments. Low-dose IL-2 treatment emerges as a new option for active IIMs. This study aims to explore the role of low-dose IL-2 in regulating intestinal dysbiosis involved in the IIMs. In this study, 13 patients with active IIMs were enrolled and received 1 ×106 IU of IL-2 subcutaneously every other day for 12 weeks plus standard care. The clinical response and immune response were assessed. Stool samples were obtained to explore the structural and functional alterations of the fecal microbiota targeting the V3-V4 region of the 16S rRNA gene and analyze their associations with clinical and immunological characteristics. Our study demonstrated that diversity of microbiota decreased remarkably in patients with IIMs, compared to healthy controls. The inflammatory-related bacteria, such as Prevotellaceae increased, while some butyrate-producing bacteria, such as Pseudobutyrivibrio, Lachnospiraceae, Roseburia, and Blautia, decreased significantly. The alteration associated with disease activities in patients with IIMs. After low-dose IL-2 treatment, 92.31% (12/13) of patients achieved IMACS DOI at week 12. Proportion of Treg cells significantly increased at week 12 compared with that in baseline (15.9% [7.73, 19.4%] vs. 9.89% [6.02, 11.8%], P = 0.015). Interestingly, certain butyrate-producing bacteria increase significantly after IL-2 treatment, like Lachnospiraceae, Pseudobutyrivibrio, etc., and are associated with a rise in L-Asparagine and L-Leucine. The effects of low-dose IL-2 on gut microbiota were more apparent in NOD mice. Together, the data presented demonstrated that low-dose IL-2 was effective in active IIMs and highlighted the potential for modifying the intestinal microbiomes of dysbiosis to treat IIMs.

Intestinal butyrate-metabolizing species contribute to autoantibody production and bone erosion in rheumatoid arthritis.

The imbalance between pathogenic and beneficial species of the intestinal microbiome and metabolism in rheumatoid arthritis (RA) remains unclarified. Here, using shotgun-based metagenome sequencing for a treatment-naïve patient cohort and a "quasi-paired cohort" method, we observed a deficiency of butyrate-producing species and an overwhelming number of butyrate consumers in RA patients. These outcomes mainly occurred in patients with positive ACPA, with a mean AUC of 0.94. This panel was also validated in established RA with an AUC of 0.986 in those with joint deformity. In addition, we showed that butyrate promoted Tregs, while suppressing Tconvs and osteoclasts, due to potentiation of the reduction in HDAC expression and down-regulation of proinflammatory cytokine genes. Dietary butyrate supplementation conferred anti-inflammatory benefits in a mouse model by rebalancing TFH cells and Tregs, as well as reducing antibody production. These findings reveal the critical role of butyrate-metabolizing species and suggest the potential of butyrate-based therapies for RA patients.

Therapeutic potential of targeting Tfr/Tfh cell balance by low-dose-IL-2 in active SLE: a post hoc analysis from a double-blind RCT study.

OBJECTIVE: To investigate the regulation of T follicular regulatory (Tfr) and T follicular (Tfh) cell subtypes by low-dose IL-2 in systemic lupus erythematosus (SLE) in a randomized, double-blind, placebo-controlled clinical trial. METHODS: A post hoc analysis was performed in a randomized cohort of SLE patients (n=60) receiving low-dose IL-2 therapy (n=30) or placebo (n=30), along with the standard of care treatment. The primary endpoint was the attainment of SLE responder index-4 (SRI-4) at week 12 in the trial. Twenty-three healthy controls were enrolled for T cell subset detection at the same time as the trial. The t-stochastic neighbor embedding (tSNE) analysis of CD4 T subsets based on immune cells flow cytometry markers was performed to distinguish Tfh, Tfh1, Tfh2, Tfh17, and Tfr cell subsets. RESULTS: Compared with HC, the frequency of Tfr (CXCR5+PD-1low Treg and CXCR5+PD-1high Treg) cells was significantly reduced, while the pro-inflammatory Tfh cells were increased in patients with SLE. The imbalanced Tfh cell was associated with several pathogenic factors (anti-dsDNA antibodies (r=0.309, P=0.027) and serum IL-17 (r=0.328, P=0.021)) and SLE Disease Activity Index (SLEDAI) score (r=0.273, P=0.052). Decreased CXCR5+PD-1low Treg/Tfh and CXCR5+PD-1low Treg/Tfh17 were both associated with increased immunoglobulin M (IgM) (r=-0.448, P=0.002 and r=-0.336, P=0.024, respectively). Efficacy of low-dose IL-2 therapy was associated with a restored Tfr/Tfh cell balance. CONCLUSION: These data support the hypothesis that promotion of Tfr is associated with decreased disease activities and that low-dose IL-2 therapy can recover Tfr/Tfh immune balance. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov Registries ( NCT02465580 ).