Faculty Bibliography

Background/Purpose: The Manhattan Lupus Surveillance Program (MLSP) is a multi-racial/ ethnic population-based registry with the primary goal to determine the prevalence and incidence of Systemic Lupus Erythematosus (SLE). In this study, we compare the three most commonly used classification criteria for SLE (1997 revised ACR, Systemic Lupus International Collaborating Clinics (SLICC) and the recent EULAR/ACR classification criteria) to identify cases that fulfilled only one of the classification criteria and explore each criteria set's unique cases. In addition, we used the EULAR/ACR criteria to determine the incidence and prevalence of SLE in Manhattan.
Method(s): MLSP cases were identified from Manhattan-based hospitals and rheumatologists, and state population databases. For this analysis, SLE cases were defined as fulfilling 1) the 1997 ACR classification criteria, 2) the SLICC criteria or 3) EULAR/ACR classification criteria. We quantified the number of cases that uniquely associated with each classification criteria and the number that fulfilled all three classifications. Prevalence (2007) and incidence rates (2007-2009) using the EULAR/ACR classification criteria and associated 95% confidence intervals (CI) were calculated using denominators obtained from the US Census data (revised 2000-2009 intercensal population files) for Manhattan.
Result(s): Overall 1,568 cases fulfilled at least one of the three classification criteria. Of those, 1008 (64.3%) cases fulfilled all three classification criteria, 166 (10.5%) fulfilled only the SLICC criteria, 50 (3.2%) fulfilled only the 1997 ACR criteria and 36 (2.3%) fulfilled the EULAR/ACR criteria with the remaining cases fulfilling a combination of two classification criteria. Cases that only met one of the classification criteria, and the reasons why they did not meet the other two classification criteria with example cases, are detailed in Tables 1-3. Based on the EULAR/ACR classification criteria, the age-adjusted overall prevalence and incidence rates of SLE in Manhattan were 59.8 (n=1,029, 95%CI:56.1-63.6) and 4.9 (n=245, 95%CI 4.3-5.5) per 100,000 population. Prevalence was 9 times higher and incidence was 6.9 times higher among females compared to males. The age-adjusted prevalence per 100,000 was highest among non-Hispanic Black females (198.9), followed by Hispanic females (133.1), non-Hispanic Asian/Pacific Islander females (97.7) and non-Hispanic White females (59.8). Age-adjusted incidence rates per 100,000 were highest in non-Hispanic Black females (15.8), followed by Hispanic females (7.5), non-Hispanic Asian/Pacific Islander females (7.3) and non-Hispanic White females (6.3). Prevalence and incidence rates for males followed a similar pattern.
Conclusion(s): Applying the three commonly used classification systems to a multi-racial/ ethnic population-based registry allowed for identifying unique cases of SLE who only fulfilled one classification system. The EULAR/ACR classification criteria revealed similar prevalence and incidence estimates and gender and racial/ethnic disparities to the previously published results from the MLSP using the 1997 revised ACR and SLICC classification criteria

Background/Purpose: The Accelerating Medicines Partnership (AMP) Lupus Network was established with the goal of applying novel technologies to the interrogation of blood and tissue samples from patients with lupus nephritis (LN). In contrast to global LN clinical trials, the AMP LN cohort affords an opportunity to generate outcome data representative of a US multicenter multi-ethnic real-world experience. In this analysis, the AMP clinical dataset was investigated to determine the percentages of patients who attained prespecified definitions of partial or complete responses at 52 weeks. In addition, incorporation of response rates at weeks 12 and 26 to the analysis provided longitudinal patterns of response to standard of care.
Method(s): Patients with LN who were undergoing kidney biopsies as part of standard of care were eligible to enroll in the AMP LN study. Response definitions were only applied to cases whose baseline spot urine protein/creatinine (UPCR) ratios were > 1.0. Complete response (CR) required: 1) UPCR < 0.5; and 2) normal creatinine (< 1.3 mg/dL) or, if abnormal at baseline, < 125% of baseline; and 3) prednisone < 10 mg/day at the time of the study visit. Partial response required: 1) >50% reduction in UPCR without meeting UPCR criterion for CR; and 2) normal creatinine (< 1.3 mg/dL) or, if abnormal, < 125% of baseline; and 3) prednisone dose < 15 mg/day at the time of the study visit. Patients who did not achieve a CR or PR at the specific timepoints were considered non-responders (NR). Only patients with renal biopsies that demonstrated ISN/RPS classes III, IV, V or combined III or IV with V and data available at all four timepoints (baseline, weeks 12, 26 and 52) were included in this analysis. Cross-sectional and longitudinal analyses of responses were performed, and heat maps were generated to graphically display response patterns.
Result(s): Data on 121 patients with LN enrolled in AMP were included in this analysis. Cross-sectional response rates at 52 weeks were: CR: 28.1%; PR: 23.1%; NR: 48.8% (Table 1). Response rates at weeks 12 and 26 are additionally displayed in Table 1, and Figure 1 is a heat map demonstrating longitudinal responses of our patients. All patients were considered NR at baseline. Only 7.4% of patients had week 12 CR responses sustained through week 52, whereas 19% had attained PR or CR at all 3 visits. An additional 14.9% achieved a PR or CR at 26 weeks which was sustained at 52 weeks. Overall, 36.4% of patients were NR at all time points.
Conclusion(s): Clinical data from the AMP Lupus Network revealed rates of 52-week CR and PR that were consistent with placebo response data from recently conducted LN trials. Low sustained CR rates not only underscore the need for more efficacious therapies but highlight how critically important it is to understand the molecular pathways that are associated with response and non-response. (Figure Presented)

Background/Purpose: Diagnosis of lupus nephritis (LN) relies on a kidney biopsy obtained in SLE with proteinuria. Delayed access to kidney biopsies may delay diagnosis and treatment, and can be limited by rapid access to biopsy, antithrombotic and anticoagulation treatments, thrombocytopenia, and in resource poor settings. Here, we employed urine proteomics to develop a non-invasive biomarker to predict proliferative LN.
Method(s): We quantified 1200 biomarkers (Kiloplex, RayBiotech) in urine samples collected on the day of (73%) or within 3 weeks (27%) of kidney biopsy in SLE patients with proteinuria >= 500mg/d and compared their abundance between patients with or without a subsequent biopsy with proliferative LN (ISN class III or IV +/- V). Prospective urine proteomic profiles were obtained in patients with class III, IV, or V at baseline and week 12, 24, or 52.
Result(s): A total of 237 patients were included: 138 (58%) with proliferative LN, 57 (24%) pure membranous LN, 21 (9%) ISN class I or II LN, 9 (4%) ISN class VI, and 12 (5%) did not have LN. Forty urinary proteins were differentially abundant in patients with proliferative LN, topped by CD163 (Figure 1). Urinary CD163 (uCD163) was significantly elevated in proliferative LN compared to all other groups (Figure 2). Longitudinal analysis revealed that uCD163 selectively declined in patients that achieved renal response at 12 months (Figure 3).
Conclusion(s): Urinary CD163, a cleaved M2c macrophage receptor, can help to identify proliferative LN in SLE patients with proteinuria. Noninvasive monitoring of uCD163 may lead to early diagnosis and treatment of proliferative LN, thus reducing irreversible kidney damage

Background/Purpose: Anti-Ro autoantibody production often precedes the development of Systemic Lupus Erythematosus (SLE) or Sjogren's syndrome (SS) by years. For anti-Ro+ mothers enrolled in the Research Registry for Neonatal Lupus (RRNL), progression to SS or SLE occurs in about a quarter, while most remain asymptomatic or develop only minor rheumatic symptoms (Asym/UAS). Thus, RRNL mothers uniquely offer a promise to identify genotype-phenotype relationships that are important to preclinical autoimmunity. Since multiple SLE risk alleles from Class II HLA genes are present in anti-Ro+ mothers, we examined interactions of specific microbiome taxa with Class II HLA by independent analytic paths with the goal to identify HLA-related microbiome associations in Anti-Ro+ Mothers of Children with Neonatal Lupus.
Method(s): Subjects included 125 RRNL mothers and 23 healthy controls. Stool microbiomes of anti-Ro+ women in RRNL (Asym/UAS, SS/SLE), and healthy controls (HC) were processed using 16S ribosomal RNA sequencing. Sera/ plasma were evaluated for cytokines and autoantibody levels. Alleles from HLA Class II genes were genotyped using NextGen sequencing of HLA region or imputed (HIBAG) from GWAS data. Independent analytic paths sought to explore associations of specific taxa and class II HLA included: 1) use of a cumulative logit model to test interactions between FDR significant genera and HLA alleles and 2) assignment of SLE, SS, UAS patients and HC to molecular phenotype clusters by Random Forest (RF), an unsupervised machine learning tool using Z-score transformed cytokine soluble mediators and autoantibody values with settings and the gap statistic that were used to estimate the optimal number of patients and HC within clusters. The overlapping distribution of SS/SLE, HLA alleles and taxa at clusters were then examined.
Result(s): Findings related to DRB1*15:01 and an interaction with genera of the Ruminococcaceae family were tested. Oscillibacter, with FDR-adjusted significance was shown to exhibit evidence of an interaction (P=0.033 (OR=0.60 (0.37-0.96)). In order to authenticate that SLE HLA risk alleles modify the strength of the association, we examined the molecular phenotype clusters from RF clustering. Radar plots were used to visualize the distribution HLA alleles and the enrichment of microbiome taxa within these clinically relevant phenotypic clusters (Figure 1). DRB1*1501 shows enrichment at cluster 4. Interestingly, the distribution of Oscillibacter, but not Coprococcus 3 was nearly superimposable with the Class II HLA allele with enrichment at cluster 4. However, the distribution of DRB1*1501 was not enriched at cluster profiles representing evaluations of DRB1*0301 and SS/SLE disease classification (Figure 2) demonstrating a limitation of DRB1*1501 to predict risk for transition from benign to pathologic autoimmunity in anti-Ro+ mothers of children with neonatal lupus.
Conclusion(s): These data support the use of molecular phenotypes that are linked to genetic-environmental interactions to identify HLA-related microbiome associations

Background/Purpose: Lupus nephritis (LN) is a leading cause of morbidity and mortality in systemic lupus erythematosus (SLE) patients. While LN pathogenesis has yet to be fully elucidated, T cells have been strongly implicated in mechanisms of disease. CD6 is a co-stimulatory receptor on T cells, that binds to activated leukocyte cell adhesion molecule (ALCAM), a ligand expressed on antigen presenting cells and epithelial and endothelial tissues. The CD6-ALCAM pathway plays an integral role in modulating T cell activation and trafficking and is central to immune-mediated inflammation. Previously, we reported that soluble urine ALCAM is a potential biomarker of disease in LN. Here, we evaluated the correlation of serum and urine ALCAM and CD6 with disease activity over time.
Method(s): Patient samples were acquired through the Accelerating Medicines Partnership (AMP), a public-private partnership to accelerate development of therapeutics for diseases such as LN. Serum and urine samples were obtained from patients with biopsy proven LN (n=345) and living kidney donor controls (n=68). Follow-up longitudinal sampling (3, 6, and 12 months) was available for 143 LN patients. ALCAM levels were quantified by ELISA, while CD6 levels were quantified by an electrochemiluminescent assay. Levels were analyzed cross-sectionally (first visit) and longitudinally against disease measures that included proteinuria, SLEDAI, the renal components of the SLEDAI score (R-SLEDAI), ISN-RPS histological class of the lesion, serological parameters, and patient characteristics.
Result(s): Consistent with our previous findings, cross-sectional analysis showed that urinary ALCAM was significantly elevated in LN patients (mean 4333.5 pg/mL, 95% CI [3614.0, 5053.0]) compared to control subjects (mean 214.4 pg/ mL, 95% CI [152.9, 276.0]) (p< 0.001), but that there were no differences in serum ALCAM levels. Urinary ALCAM levels significantly correlated with SLEDAI and R-SLEDAI scores (but did not correlate to the non-renal portion of SLEDAI (SLEDAI -R-SLEDAI) (Figure 1), suggesting that ALCAM level is associated with the renal activity. This was supported by near-significant correlations with C3 (p=0.07) and C4 levels (p=0.05). Serum and urine levels of CD6 were similar between cases and control subjects and did not change with disease activity, suggesting that the differences observed in urinary ALCAM levels are not due to hemodynamic changes or non-specific loss of glomerular permeability. In patients followed with longitudinal sampling, urinary ALCAM reflected changes in SLEDAI and R-SLEDAI. Furthermore, in preliminary analysis of a subset of patients who exhibited significant changes in R-SLEDAI across visits, intra-patient comparison of the respective timepoints reflected concomitant significant changes in urinary ALCAM levels (Figure 2).
Conclusion(s): Here, we expand upon previous studies and provide additional support in a large multi-center cohort, by showing that urinary ALCAM levels are elevated in SLE patients with active LN and decline with clinical improvement. Studies in progress are evaluating the implications of these findings in predicting therapeutic responses in LN, as well as longer term disease outcomes and prognosis

Background/UNASSIGNED:Patients with systemic lupus erythematosus (SLE) are at risk of developing COVID-19 due to underlying immune abnormalities and regular use of immunosuppressant medications. We aimed to evaluate the presence of SARS-CoV-2 IgG antibodies in patients with SLE with or without previous COVID-19-related symptoms or RT-PCR-confirmed SARS-CoV-2 infection. Methods/UNASSIGNED:For this analysis, we included patients with SLE from two cohorts based in New York City: the Web-based Assessment of Autoimmune, Immune-Mediated and Rheumatic Patients during the COVID-19 pandemic (WARCOV) study; and the NYU Lupus Cohort (a prospective registry of patients at NYU Langone Health and NYC Health + Hospitals/Bellevue). Patients in both cohorts were tested for SARS-CoV-2 IgG antibodies via commercially available immunoassays, processed through hospital or outpatient laboratories. Patients recruited from the NYU Lupus Cohort, referred from affiliated providers, or admitted to hospital with COVID-19 were tested for SARS-CoV-2 IgG antibodies as part of routine surveillance during follow-up clinical visits. Findings/UNASSIGNED:67 [24%] of 278). Other demographic variables, SLE-specific factors, and immunosuppressant use were not associated with SARS-CoV-2 positivity. Of the 29 patients with COVID-19 previously confirmed by RT-PCR, 18 (62%) were on immunosuppressants; 24 (83%) of 29 patients tested positive for SARS-CoV-2 IgG antibodies. Of 17 patients who had symptoms of COVID-19 but negative concurrent RT-PCR testing, one (6%) developed an antibody response. Of 26 patients who had COVID-19-related symptoms but did not undergo RT-PCR testing, six (23%) developed an antibody response. Of 83 patients who had no symptoms of COVID-19 and no RT-PCR testing, four (5%) developed an antibody response. Among 36 patients who were initially SARS-CoV-2 IgG positive, the majority maintained reactivity serially (88% up to 10 weeks, 83% up to 20 weeks, and 80% up to 30 weeks). Seven (70%) of ten patients with confirmed COVID-19 had antibody positivity beyond 30 weeks from disease onset. Interpretation/UNASSIGNED:Most patients with SLE and confirmed COVID-19 were able to produce and maintain a serological response despite the use of a variety of immunosuppressants, providing reassurance about the efficacy and durability of humoral immunity and possible protection against re-infection with SARS-CoV-2. Funding/UNASSIGNED:National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, and Bloomberg Philanthropies COVID-19 Response Initiative Grant.

OBJECTIVES:In lupus nephritis the pathological diagnosis from tissue retrieved during kidney biopsy drives treatment and management. Despite recent approval of new drugs, complete remission rates remain well under aspirational levels, necessitating identification of new therapeutic targets by greater dissection of the pathways to tissue inflammation and injury. This study assessed the safety of kidney biopsies in patients with SLE enrolled in the Accelerating Medicines Partnership, a consortium formed to molecularly deconstruct nephritis. METHODS:475 patients with SLE across 15 clinical sites in the USA consented to obtain tissue for research purposes during a clinically indicated kidney biopsy. Adverse events (AEs) were documented for 30 days following the procedure and were determined to be related or unrelated by all site investigators. Serious AEs were defined according to the National Institutes of Health reporting guidelines. RESULTS:34 patients (7.2%) experienced a procedure-related AE: 30 with haematoma, 2 with jets, 1 with pain and 1 with an arteriovenous fistula. Eighteen (3.8%) experienced a serious AE requiring hospitalisation; four patients (0.8%) required a blood transfusion related to the kidney biopsy. At one site where the number of cores retrieved during the biopsy was recorded, the mean was 3.4 for those who experienced a related AE (n=9) and 3.07 for those who did not experience any AE (n=140). All related AEs resolved. CONCLUSIONS:Procurement of research tissue should be considered feasible, accompanied by a complication risk likely no greater than that incurred for standard clinical purposes. In the quest for targeted treatments personalised based on molecular findings, enhanced diagnostics beyond histology will likely be required.

OBJECTIVE:Anti-beta 2 glycoprotein I IgA is a common isotype of anti-beta 2 glycoprotein I in SLE. Anti-beta 2 glycoprotein I was not included in the American College of Rheumatology (ACR) SLE classification criteria, but was included in the Systemic Lupus International Collaborating Clinics (SLICC) criteria. We aimed to evaluate the prevalence of anti-beta 2-glycoprotein I IgA in SLE versus other rheumatic diseases. In addition, we examined the association between anti-beta 2 glycoprotein I IgA and disease manifestations in SLE. METHODS:The dataset consisted of 1384 patients, 657 with a consensus physician diagnosis of SLE and 727 controls with other rheumatic diseases. Anti-beta 2 glycoprotein I isotypes were measured by ELISA. Patients with a consensus diagnosis of SLE were compared to controls with respect to presence of anti-beta 2 glycoprotein I. Among patients with SLE, we assessed the association between anti-beta 2 glycoprotein I IgA and clinical manifestations. RESULTS:The prevalence of anti-beta 2 glycoprotein I IgA was 14% in SLE patients and 7% in rheumatic disease controls (odds ratio, OR 2.3, 95% CI: 1.6, 3.3). It was more common in SLE patients who were younger patients and of African descent (p = 0.019). Eleven percent of SLE patients had anti-beta 2 glycoprotein I IgA alone (no anti-beta 2 glycoprotein I IgG or IgM). There was a significant association between anti-beta 2 glycoprotein I IgA and anti-dsDNA (p = 0.001) and the other antiphospholipid antibodies (p = 0.0004). There was no significant correlation of anti-beta 2 glycoprotein I IgA with any of the other ACR or SLICC clinical criteria for SLE. Those with anti-beta 2 glycoprotein I IgA tended to have a history of thrombosis (12% vs 6%, p = 0.071), but the difference was not statistically significant. CONCLUSION/CONCLUSIONS:We found the anti-beta 2 glycoprotein I IgA isotype to be more common in patients with SLE and in particular, with African descent. It could occur alone without other isotypes.

Antibodies to double-stranded DNA (dsDNA) are prevalent in systemic lupus erythematosus (SLE), particularly in patients with lupus nephritis, yet the nature and regulation of antigenic cell-free DNA (cfDNA) are poorly understood. Null mutations in the secreted DNase DNASE1L3 cause human monogenic SLE with anti-dsDNA autoreactivity. We report that >50% of sporadic SLE patients with nephritis manifested reduced DNASE1L3 activity in circulation, which was associated with neutralizing autoantibodies to DNASE1L3. These patients had normal total plasma cfDNA levels but showed accumulation of cfDNA in circulating microparticles. Microparticle-associated cfDNA contained a higher fraction of longer polynucleosomal cfDNA fragments, which bound autoantibodies with higher affinity than mononucleosomal fragments. Autoantibodies to DNASE1L3-sensitive antigens on microparticles were prevalent in SLE nephritis patients and correlated with the accumulation of cfDNA in microparticles and with disease severity. DNASE1L3-sensitive antigens included DNA-associated proteins such as HMGB1. Our results reveal autoantibody-mediated impairment of DNASE1L3 activity as a common nongenetic mechanism facilitating anti-dsDNA autoreactivity in patients with severe sporadic SLE.