Faculty Bibliography

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.

OBJECTIVE:Hydroxychloroquine (HCQ) is a mainstay of therapy in the treatment of SLE. The effect of HCQ on platelets and vascular health is uncertain. We investigated the relationship between HCQ use and dose with platelet activity, platelet transcriptomics and vascular health in patients with SLE. METHODS:Platelet aggregation, platelet mRNA expression and vascular health (sublingual capillary perfused boundary region (PBR), red blood cell filling (RBCF) and brachial artery reactivity testing) were analysed by HCQ use and dose. RESULTS:Among 132 subjects with SLE (age: 39.7±12.9 years, 97% female), 108 were on HCQ. SLE disease activity was similar between subjects on and off HCQ. Platelet aggregation in response to multiple agonists was significantly lower in patients on HCQ. There were inverse relationships between HCQ dose and gene expression pathways of platelet activity. Gene expression of P-selectin (SELP) was inversely correlated with HCQ dose (r=-0.41, p=0.003), which was validated at the protein level. Subjects on HCQ had improved vascular function correlating with HCQ dose as measured by lower PBR (r=-0.52, p=0.007), higher RBCF (r=0.55, p=0.004) and greater brachial artery reactivity (r=0.43, p=0.056). CONCLUSION/CONCLUSIONS:HCQ use was associated with decreased platelet activation and activation-related transcripts and improved vascular health in SLE.

BACKGROUND/OBJECTIVES/OBJECTIVE:The European League Against Rheumatism (EULAR)/American College of Rheumatology (ACR) 2019 classification criteria for systemic lupus erythematosus system showed high specificity, while attaining also high sensitivity. We hereby analysed the performance of the individual criteria items and their contribution to the overall performance of the criteria. METHODS:We combined the EULAR/ACR derivation and validation cohorts for a total of 1197 systemic lupus erythematosus (SLE) and n=1074 non-SLE patients with a variety of conditions mimicking SLE, such as other autoimmune diseases, and calculated the sensitivity and specificity for antinuclear antibodies (ANA) and the 23 specific criteria items. We also tested performance omitting the EULAR/ACR criteria attribution rule, which defines that items are only counted if not more likely explained by a cause other than SLE. RESULTS:Positive ANA, the new entry criterion, was 99.5% sensitive, but only 19.4% specific, against a non-SLE population that included other inflammatory rheumatic, infectious, malignant and metabolic diseases. The specific criteria items were highly variable in sensitivity (from 0.42% for delirium and 1.84% for psychosis to 75.6% for antibodies to double-stranded DNA), but their specificity was uniformly high, with low C3 or C4 (83.0%) and leucopenia <4.000/mm³ (83.8%) at the lowest end. Unexplained fever was 95.3% specific in this cohort. Applying the attribution rule improved specificity, particularly for joint involvement. CONCLUSIONS:Changing the position of the highly sensitive, non-specific ANA to an entry criterion and the attribution rule resulted in a specificity of >80% for all items, explaining the higher overall specificity of the criteria set.

OBJECTIVE:Epidemiologic data for systemic lupus erythematosus (SLE) is limited, particularly for racial/ethnic subpopulations in the United States (U.S.). Leveraging data from the Centers for Disease Control and Prevention (CDC) National Lupus Registry network of population-based SLE registries, a meta-analysis estimating U.S. SLE prevalence was performed. METHODS:The CDC National Lupus Registry network included four registries in unique states and a fifth in the Indian Health Service (IHS). All registries used the 1997 revised American College of Rheumatology (ACR) classification criteria for the SLE case definition. Case finding spanned either 2002-2004 or 2007-2009. A random effects model was employed given heterogeneity across sites. Applying sex/race-stratified estimates to the 2018 Census population, an estimate for the number of SLE cases in the U.S. was generated. RESULTS:5,417 cases fulfilled the ACR SLE classification criteria. Pooled prevalence from the four state-specific registries was 72.8/100,000 (95%CI:65.3,81.0), 9 times higher for females than males (128.7 vs 14.6), and highest among Black females (230.9), followed by Hispanic (120.7), white (84.7) and Asian/Pacific Islander females (84.4). Male prevalence was highest in Black males (26.7) followed by Hispanic (18.0), Asian/Pacific Islander (11.2), and white males (8.9). The American Indian/Alaska Native had the highest race-specific SLE estimates for females (270.6/100,000) and males (53.8/100,000). In 2018, 204,295 persons (95% CI:160,902,261,725) in the U.S. fulfilled ACR SLE classification criteria. CONCLUSIONS:A coordinated network of population-based SLE registries provided more accurate estimates for SLE prevalence and numbers affected in the U.S.

OBJECTIVES/OBJECTIVE:Although oral methotrexate (MTX) remains the anchor drug for RA, up to 50% of patients do not achieve a clinically adequate outcome. Concomitantly, there is a lack of prognostic tools for treatment response prior to drug initiation. Here we study whether inter-individual differences in the human gut microbiome can aid in the prediction of MTX efficacy in new-onset RA (NORA). METHODS:16S rRNA gene and shotgun metagenomic sequencing were performed on the baseline gut microbiomes of drug-naïve, NORA patients (n=26). Results were validated in an additional independent cohort (n=21). To gain insight into potential microbial mechanisms, ex vivo experiments coupled with metabolomics analysis evaluated the association between microbiome-driven MTX depletion and clinical response. RESULTS:Our analysis revealed significant associations between the abundance of gut bacterial taxa and their genes with future clinical response, including orthologs related to purine and methotrexate metabolism. Machine learning techniques were applied to the metagenomic data, resulting in a microbiome-based model that predicts lack of response to MTX in an independent group of patients. Finally, MTX levels remaining after ex vivo incubation with distal gut samples from pre-treatment RA patients significantly correlated with the magnitude of future clinical response, suggesting a possible direct effect of the gut microbiome on MTX metabolism and treatment outcomes. CONCLUSIONS:Together, these results provide the first step towards predicting lack of response to oral MTX in NORA patients and support the value of the gut microbiome as a possible prognostic tool and as a potential target in RA therapeutics.

Background/Purpose: Neonatal Lupus (NL) is a model of passively acquired autoimmunity conferred by exposure to maternal anti-Ro antibodies with major manifestations being congenital heart block (CHB) and/or cutaneous disease. This study was initiated to address the development of de novo autoimmunity in these children and identify associated clinical and genetic risk factors.
Method(s): In a retrospective cohort study of enrollees in the Research Registry for Neonatal Lupus (RRNL), 511 children exposed to anti-Ro in utero responded to a follow up questionnaire focused on symptoms of autoimmunity. Self-reported diseases were confirmed via medical record review. Bivariate analyses were performed with potential risk factors for the development of autoimmune disease (AD) and included the NL status per se, a disease severity score based on mortality risk factors, and maternal AD (inclusive of lupus, Sjogren's syndrome, psoriasis, rheumatoid arthritis, or thyroid disease). A subset of 99 CHB, 9 cutaneous, and 55 unaffected anti-Ro exposed RRNL individuals were genotyped at Class II HLA DRB1 and DQB1 four-digit alleles, which were assigned by imputation (HIBAG) or sequencing. Generalized estimating equations (logit link, exchangeable correlation) were used to test for associations between HLA alleles and the development of AD.
Result(s): Of the respondents, 182 offspring had CHB, 95 had cutaneous only NL and 234 were siblings without NL. Females comprised 53% and 80% were Caucasian. The mean age was 14.2+/-9.7; 4% age 0-2 years, 48% 2-13 years, and 47% > 13 years. An AD developed in 38 offspring (20 CHB, 7 cutaneous NL, 11 non-NL siblings; Table 1). The most prevalent AD was thyroid disease. The development of an AD was significantly associated with presence of CHB vs. cutaneous only or non-NL siblings (11% vs. 5%, p=0.033). The maternal health status did not influence the development of an AD in the child (7% mothers with AD vs. 6% asymptomatic mothers, p=0.67). Mean NL severity score was higher in offspring with AD (3.8+/-4.8 vs. 2.2+/-4.0, p= 0.031). Other markers of fetal CHB disease severity were associated with subsequent AD development, including in-utero exposure to fluorinated steroids (15% vs. 6%, p=0.088) and beta agonists such as terbutaline (23% vs. 9%, p=0.043). In the study of 163 RRNL cases with HLA data (20 with AD, 143 without), HLA DRB1*03:01 (OR 3.4, CI 1.46-7.90, p=0.0045), DQA1*05:01 (OR 3.39, CI 1.16-9.92, p=0.0262), and DQB1*02:01 (OR 4.28, CI 1.73-10.62, p=0.0017) were associated with increased risk of AD (of note, these loci are in high linkage disequilibrium). In contrast, these alleles were not significantly associated with development of CHB (99 CHB vs. 64 without).
Conclusion(s): The development of an autoimmune disease was more common in anti-Ro exposed children with CHB, greater NL severity, and MHC Class II haplotypes. These factors may relate to an inherent susceptibility to inflammation and fibrosis, occuring in utero and later in life

Background/Purpose: Disparities have been reported during the coronavirus disease (COVID-19) outbreak. Systemic lupus erythematosus (SLE) patients represent a unique group that is affected by clinical, treatment, demographic, and socioeconomic (SES) risk factors for severe COVID-19 disease. The Neighborhood Deprivation Index has been associated with non-communicable disease as well as communicable disease outcomes. We conducted this study to identify neighborhood SES factors influencing SLE COVID-19 outcomes.
Method(s): Patients with SLE and COVID-19 (confirmed by RT-PCR testing), were identified through a longitudinal survey of an established NYU lupus cohort, query of NYU Langone Health and Bellevue Hospitals systems and referrals from rheumatologists at those institutions. All patients were age 18 or older and met SLE classification criteria or carried a clinical diagnosis of SLE. Baseline characteristics along with zip code neighborhood data including COVID-19 case rates and neighborhood characteristics were obtained using the Hopkins COVID database and the American Community Surveys (ACS 2014-2018) respectively. A principal component analysis was performed to identify contributory neighborhood characteristics. Then a logistic regression analysis identified predictors of testing positive for COVID-19 and COVID-19 hospitalization.
Result(s): A total of 59 SLE patients (41+ and 18-) were tested for COVID-19 by RT-PCR. The patients were predominantly female, aged 46+/-16, and racially/ethnically diverse. Roughly 140 neighborhood data points were recorded and categorized as follows: population density, race and ethnicity, household type, household size, education level, employment type and status, income and poverty, transportation method, and insurance status. COVID-19 positive patients tended to live in neighborhoods with more single parent households, households with >4 residents, higher unemployment rate, higher high school dropout rate, more public transit use, and more employment in retail, construction, and personal care services. These variables were directly proportional to principal component 1 (PC1) and accounted for 88% of the variance in neighborhood characteristics. A logistic regression model identified that PC1 (OR= 1.3; 95% CI: 1.0-1.8) and taking immune suppressants (IS) (taking vs not taking OR= 2.1; 95% CI: 1.5 to 23.3) independently correlated with having a positive COVID-19 test when controlling for hydroxychloroquine (HCQ), glucocorticoids (GC), and previous lupus nephritis (LN). Only PC1 independently correlated with COVID-19 hospitalization (OR= 1.4; 95% CI: 1.1-1.9) upon controlling for taking IS, HCQ, GCs, and LN. PC1 associated with African American (AA) or Hispanic patient race/ethnicity (OR= 1.6, 95% CI: 1.2-2.2).
Conclusion(s): In addition to SLE disease, neighborhood characteristics and SES are important risk factors both for contracting COVID-19 and developing severe disease. Neighborhood deprivation may mediate the reported relationship between AA and Hispanic race/ethnicity and COVID-19. Given that a plurality of SLE patients are of AA and/or Hispanic backgrounds, care teams must formulate strategies to address socioeconomic stress in our patients

Background/Purpose: Patients with systemic lupus erythematosus (SLE) represent a unique population in considering risk for coronavirus disease 2019 (COVID-19) with biologic, genetic, demographic, clinical and treatment issues all at play. By the nature of their chronic inflammatory autoimmune condition and regular use of immunosuppressive medications, these individuals would traditionally be considered at high risk of contracting the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and having a worse prognosis. Accordingly, we aimed to characterize patients with SLE affected by COVID-19 in New York City (NYC) and analyze associations of comorbidities and medications on outcomes.
Method(s): Patients with SLE and COVID-19 (confirmed by RT-PCR testing), were identified through a longitudinal survey of an established NYU lupus cohort, query of New York University Langone Health and Bellevue Hospitals systems and referrals from rheumatologists at those institutions. All patients were age 18 or older and met SLE classification criteria or carried a rheumatologist's diagnosis of SLE. Only English-, Spanish- or Mandarin-speaking patients were included in the study. Data were prospectively collected via a web-based questionnaire and review of electronic medical records. Baseline characteristics and medications were compared between the hospitalized and ambulatory patients with COVID-19. A logistic regression analysis was performed to identify independent predictors of hospital admission.
Result(s): A total of 41 SLE patients were confirmed COVID-19 positive by RT-PCR. The patients were predominantly female and encompassed the major racial/ethnic demographics seen in NYC. The most common symptoms of COVID-19+ patients were cough (78.4%), fever (64.9%), and shortness of breath (64.9%). Of those SLE patients with COVID-19, 24 (59%) were hospitalized, 4 required ICU level of care, and 4 died, all of hypoxic respiratory failure, Table 1. Hospitalized patients tended to be older, non-white, Hispanic, and have higher BMI, antiphospholipid syndrome, a history of lupus nephritis and at least one medical comorbidity, Table 2. There was no difference between the groups in use of hydroxychloroquine, systemic steroids or immunosuppressants. Logistic regression analysis identified the following independent predictors of being hospitalized with COVID-19: race (OR = 7.78 for non-white vs. white; 95% CI: 1.13 to 53.58; p=0.037), the presence of at least one comorbidity (OR=4.66; 95% CI: 1.02 to 21.20; p=0.047), and BMI (OR = 1.08 per increase in kg/m2; 95% CI: 0.99 to 1.18; p=0.096).
Conclusion(s): Patients with SLE and COVID-19 have a high rate of hospitalization but similar mortality rate to the general population in NYC. Risk factors such as non-white race, higher BMI, and the presence of one or more comorbidities were identified as independent predictors of hospitalization in SLE patients who develop COVID-19. The use of hydroxychloroquine and immunosuppressants did not appear to influence the outcomes of patients with SLE in the setting of COVID-19. Further studies are needed to understand additional risk factors for poor COVID-19 outcomes in patients with SLE