Faculty Bibliography

Background/Purpose: SLE is characterized by autoantibody production. The most common lupus-specific serology is the anti-dsDNA antibody (anti-DNA). Traditionally, anti-DNA is measured by an enzyme immunoassay or equivalent such as multiplex flow immunoassay (EIA), which is considered sensitive. In contrast, the crithidia luciliae immunofluorescence test (CLIFT) is considered more specific. Serial measurement of anti-DNA is often used to monitor lupus disease activity. With NYU's extensive multi-race/ethnic lupus registry, we studied the relationship between these two methods, their association with lupus nephritis (LN), and their ability to predict subsequent flares.
Method(s): Using the NYU Lupus Registry of patients who meet ACR, SLICC, or EULAR criteria, we identified patients who had one or more simultaneous anti-DNA results by multiplex EIA and CLIFT. We report on their concordance (e.g., always, never, or fluctuating), association with LN, and ability to predict flare within 90 days using the SELENA-SLEDAI Flare Index. To account for degree of positivity, we defined tertiles for EIA and CLIFT as low positive [11-50 and 1:10-1:40], mild positive [51-200 and 1:80-1:320], and high positive [> 200 and > 1:640]. Table 1. 586 total visits with paired EIA and CLIFT. H = high positive M = mild positive L = low positive defined in Methods section Table 2. Relationship between EIA, CLIFT and hypocomplementemia with lupus nephritis. Chi-square test comparing significance between 60/100 v 72/100 (EIA/CLIFT) p = 0.07 Table 3. Relationship between EIA, CLIFT, hypocomplementemia and flare within 90 days Results: 207 patients had one or more paired anti-DNA results generating 586 paired results (Table 1). Cohort demographics: 92% Female, 22% Hispanic ethnicity, 24% Black, 16% Asian, 49% White, 10% Other. Overall, 377 pairs were always concordant, and 209 were never concordant. 236 pairs demonstrated titer concordance and 350 with titer discordance. Of the 207 patients, 64 patients had only one and 143 patients had two or more paired tests. Of the 64 patients, 46 were always concordant: 18 had positive EIA/CLIFT and 28 had negative EIA/CLIFT. The remaining 18 patients were never concordant: 8 had +EIA/-CLIFT and 10 had-EIA/+CLIFT. The concordance of the 143 patients with multiple paired results: 73 always, 23 never, and 47 fluctuating. Whether by one or multiple paired tests, 41/207 patients were never concordant. 100 of the 207 patients had LN associated with +EIA in 60 and +CLIFT in 72 (Table 2). Hypocomplementemia was present in 88% of +EIA and 89% of +CLIFT patients with LN. 51 visits in 42 patients had paired anti-DNA results and a SELENA-SLEDAI Flare Index assessment within 90 days. 7 patients had mild flares with +EIA in 4 and +CLIFT in 3. 4 patients had severe flares with +EIA and +CLIFT in 3 (Table 3). Low C3 and or C4 occurred in 1 of 7 (14%) mild flares and in 4 of 4 (100%) severe flares.
Conclusion(s): Our data demonstrate that discordance of positivity between two assays for anti-DNA occurred in 41/207 (20%) patients, in 207/586 (36%) visits and in 350/586 (60%) visits magnitude of positivity nonconcordant. EIA positivity is associated with LN less often than CLIFT positivity. Flares were infrequent and associated with either EIA or CLIFT positivity, with severe flares more likely if accompanied by hypocomplementemia. We recommend the utility of more than one anti-DNA assay in routine monitoring for lupus disease activity

Background/Purpose: Patients with SLE may be at increased risk for developing a venous thromboembolism (VTE), particularly in the postpartum period. The Royal College of Obstetricians and Gynaecologists (RCOG) guideline for postpartum VTE prophylaxis is unique in its inclusion of "active" SLE as an actionable risk factor. In this guideline, a score >= 3 drives a formal recommendation for a 6-week prophylactic treatment course with enoxaparin. Although not defined, "active" SLE alone scores 3 points. The inclusion of SLE raises concerns regarding appropriate attribution and subsequent management decisions. The current study applied the RCOG model to a cohort of postpartum SLE patients to determine whether these patients a) qualify as having "active" SLE b) have other risk factors for VTE c) received the recommended prophylaxis and d) had a postpartum VTE.
Method(s): The retrospective study comprised 55 pregnancies in 49 patients fulfilling criteria for classification of SLE based on ACR, SLICC or EULAR/ACR definitions consecutively seen over the last 5 years. Disease activity at delivery was assessed by the SLEPDAI using SELENA and Hybrid SELENA definitions for scoring proteinuria. Remission was assigned by applying the DORIS (Definitions of Remission in SLE) criteria. Patients not in remission were considered to have "active" SLE, even if a low level with only one clinical domain scored. RCOG scoring was calculated for each patient prior to and after delivery.
Result(s): The median age was 32 years (IQR 29-36 years) and the median BMI was 26.6 kg/m2 (IQR 23.0-30.9 kg/m2), with 49.1% African-American, 16.4% Asian, 29.1% White, 5.5% Other and 32.7% of Hispanic ethnicity. The median SELENA and Hybrid SELENA SLEPDAI scores were 2.0 (IQR 0-6) and 2.0 (IQR 0-5) respectively. The components of the RCOG model with each of its elements scored for the cohort (Table 1). 34 pregnancies (61.8%) were in DORIS remission throughout pregnancy. 21 (38.2%) were not in DORIS remission at delivery and received 3 points on the RCOG model, since by not achieving remission their SLE could be considered at least mildly active. Of these pregnancies, only 19% were recommended for VTE prophylaxis despite RCOG score >= 3. Only 35.7% of pregnancies in DORIS remission, but with 3 points for non-SLE related VTE risk factors, were recommended for VTE prophylaxis (Table 2). Of the 20 pregnancies in remission with an RCOG score < 3 after assessing all risk factors, 15% were nevertheless recommended for VTE prophylaxis. In contrast, of the 14 inactive pregnancies with RCOG score >= 3 for non-SLE activity factors, only 35.7% were recommended for VTE prophylaxis. No patients had a postpartum VTE regardless of therapy.
Conclusion(s): These data reveal that even for SLE patients in remission at the time of delivery, points for SLE alone should not automatically be assigned on the RCOG model. However, those who are in remission may still warrant VTE prophylaxis if other non-SLE related risk factors are present. Although no patient had a postpartum VTE, prophylactic anticoagulation should be instituted only when clinically appropriate. The healthcare team should carefully consider disease activity before applying 3 points for the diagnosis of SLE

Background/Purpose: A decline of urine protein-to-creatinine ratio (UPCR) to < 0.5 is associated with better long-term preservation of kidney function in lupus nephritis (LN). UPCR < 0.5 defines complete response in guidelines and clinical trials when achieved after 1 or 2 years. Biomarkers of early response are needed to guide early treatment changes. We studied longitudinal urine proteomic profiles in LN to identify early predictors of proteinuric response.
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 and week 12, 24, or 52 in LN patients (ISN class III, IV, V, or mixed) with proteinuria > 1 g/d. Response was defined at one year from renal biopsy: Complete = UPCR < 0.5, serum creatinine (sCr) < 125% of baseline, prednisone <= 10mg/d; Partial = UPCR < 50% from baseline but >0.5, sCr < 125% of baseline, but prednisone allowed to 15 mg/d; Non responder = not meeting previous definitions.
Result(s): A total of 127 patients were included: 48 (38%) with pure proliferative LN (class III or IV), 41 (32%) with mixed LN (III or IV +/-V), and 38% (30%) with pure membranous LN. Response was complete in 34 (27%), partial in 29 (23%), and none in 64 (50%). There were no urinary biomarkers at baseline that predicted response. We then analyzed the changes in urinary proteins at 3 months compared to baseline. Patients who responded at 1 year showed an early decline in 51 urinary proteins led by CD163, IL-16, and macrophage mannose receptor (MMR, CD206) (Figure 1A) which matched the proteomic signature associated with histological activity (Figure 1B). No changes were observed in nonresponders. The decline of several urinary biomarkers at 3 months outperformed a decline in UPCR (clinical standard) in predicting the 1 year response (-Figure 2A). In particular, a decline of CD163 predicted 1 year response in ROC analysis with an area under the curve (AUC) of 83% compared to an AUC of 75% for UPCR decline (Figure 2B). In proliferative LN, urinary biomarkers displayed superior performance with an AUC of 91%, 86%, and 78% for the decline of MMR, CD163, and UPCR, respectively (-Figure 2C-D). Pathway enrichment analysis identified leukocyte activation, neutrophil degranulation, and matrix degradation as the main pathways reduced at 3 months in responders.
Conclusion(s): An early decline in urinary biomarkers of histological activity is associated with proteinuric response at 1 year. These findings indicate that effective immunosuppression induces by three months an immunological response in the kidney that can be noninvasively monitored in the urine. Biomarkers of immunological response outperformed early decline of UPCR, the standard of care, in predicting 1-year proteinuric response, especially in proliferative LN. Because biomarkers of immunological response parallel intrarenal activity, they could detect early treatment response/failure and allow early treatment changes. They could serve as surrogate endpoints in clinical trials. Longitudinal studies are needed to confirm that this immunological response is a better predictor of long-term kidney function preservation than proteinuric responses. Figure 1. Proteins linked to intrarenal activity (NIH activity index) decrease in treatment responders. Volcano plot of the changes of the urinary proteomic profile of treatment responders at 3 months (A) after kidney biopsy/treatment compared to baseline at time of biopsy. (B) Volcano plot displaying the Spearman's correlation coefficients of urinary biomarkers at time of biopsy with histological activity defined as the NIH activity index. Blue arrows indicate 4 examples of shared urinary biomarkers that indicate both intrarenal activity and response to treatment. FDR, false discovery rate; q, adjusted p value

BACKGROUND:Complement activation has been associated with adverse pregnancy outcomes (APO) in SLE. Pregnant women with SLE were studied to evaluate whether complement dysregulation within the first two pregnancy trimesters predicts APO. METHODS:Pregnant women fulfilled classification criteria for SLE. APO included neonatal death, preterm delivery before 36 weeks and small for gestational age newborn. Pre-eclampsia was also evaluated. Erythrocyte complement receptor 1 (ECR1) and erythrocyte-bound C4d (EC4d) were measured by flow cytometry. Complement proteins C3 and C4 were measured by immunoturbidimetry and anti-double-stranded DNA by ELISA in serum. Statistical analysis consisted of t-test, confusion matrix-derived diagnostic analysis, and multivariate logistic regression. RESULTS:Fifty-one women had 57 pregnancies and 169 visits during the study. Baseline visits occurred mainly in the first (n=32) and second trimester (n=21). Fourteen (24.6%) pregnancies resulted in 21 APO with preterm delivery being the most common (n=10). ECR1 <5.5 net mean fluorescence intensity in the first trimester predicted APO with a diagnostic OR (DOR) of 18.33 (95% CI: 2.39 to 140.4; t-test p=0.04). Other individual biomarkers did not reach statistical significance. To estimate the likelihood of APO, we developed an algorithm that included the week of pregnancy, ECR1 and EC4d. From this algorithm, a Pregnancy Adversity Index (PAI) was calculated, and a PAI >0 indicated an elevated likelihood of pregnancy complications (DOR: 20.0 (95% CI: 3.64 to 109.97)). CONCLUSIONS:Low levels of ECR1 in early or mid-pregnancy are predictive of an APO. Incorporating the weeks of gestation and both ECR1 and EC4d generated a PAI, which further predicted serious pregnancy complications.

Anti-SSA/Ro antibodies, while strongly linked to fetal cardiac injury and neonatal rash, can associate with a spectrum of disease in the mother, ranging from completely asymptomatic to overt Systemic Lupus Erythematosus (SLE) or Sjögren's Syndrome (SS). This study was initiated to test the hypothesis that the microbiome, influenced in part by genetics, contributes to disease state. The stool microbiome of healthy controls (HC) was compared to that of anti-SSA/Ro positive women whose children had neonatal lupus. At the time of sampling, these women were either asymptomatic (Asym), had minor rheumatic symptoms or signs considered as an undifferentiated autoimmune syndrome (UAS), or were diagnosed with SLE or SS. Differences in microbial relative abundances among these three groups were tested assuming an ordering in clinical severity (HC<Asym/UAS<SS/SLE) and then again without the ordinal assumption. Those taxa that showed differential relative abundances were then tested for whether the effect size differed depending on the women's HLA SLE-risk allele genotype (DRB1*03:01, DRB1*15:01, DQB1*02:01 and DQB1*06:02) or anti-SSA/Ro autoantibody levels. Multiple genera within the families Ruminococcaceae and Lachnospiraceae showed evidence of an HLA-by-genus interaction (P < .05). Four genera exhibited evidence of an interaction with anti-Ro52 IgA: Lachnoclostridium, Romboutsia, Bacteroides and Actinomyces (P < .01). In addition to documenting differences in microbial relative abundances across clinical severity of disease, these data provide a first-time demonstration that microbial differences are correlated with HLA SLE-risk alleles. Taken together, these data suggest that the clinical spectrum from benign to overt clinical autoimmunity may partially result from or trigger a complex interplay among specific microbial profiles, anti-Ro autoantibodies, and genetics.

OBJECTIVES/OBJECTIVE:Autoantibody seroconversion has been extensively studied in the context of COVID-19 infection but data regarding post-vaccination autoantibody production is lacking. Here we aimed to determine the incidence of common autoantibody formation following mRNA COVID-19 vaccines in patients with inflammatory arthritis (IA) and in healthy controls. METHODS:Autoantibody seroconversion was measured by serum ELISA in a longitudinal cohort of IA participants and healthy controls before and after COVID-19 mRNA-based immunization. RESULTS:Overall, there was a significantly lower incidence of ANA seroconversion in participants who did not contract COVID-19 prior to vaccination compared with those who been previously infected (7.4% vs 24.1%, p= 0.014). Incidence of de novo anti-cyclic citrullinated protein (CCP) seroconversion in all participants was low at 4.9%. Autoantibody levels were typically of low titer, transient, and not associated with increase in IA flares. CONCLUSIONS:In both health and inflammatory arthritis, the risk of autoantibody seroconversion is lower following mRNA-based immunization than following natural SARS-CoV-2 infection. Importantly, seroconversion does not correlate with self-reported IA disease flare risk, further supporting the encouragement of mRNA-based COVID-19 immunization in the IA population.