Faculty Bibliography

Background/Purpose: Current management of lupus nephritis (LN) is guided by histopathological features on kidney biopsy and measurement of proteinuria. Urine proteomics is a non-invasive source of novel biomarkers which may better reflect the complex dynamic immunobiology of LN in real time. Two composite measures include CKD273, which can predict the risk of progression of chronic kidney disease in the general population, and LN120, which was designed to diagnose LN. Both are multidimensional urine proteomic classifiers consisting of 273 or 120 peptides, respectively, with major components including collagen fragments, abundant blood-derived proteins, and proteins involved in inflammation. We investigated the ability of these classifiers to predict traditional biopsy features and disease response in LN.
Method(s): A total of 31 adults with biopsy-proven LN were included in this study. All participants met the SLICC and 2019 EULAR/ACR Classification Criteria for SLE based on a spot urine protein-to-creatinine ratio of >0.5 and class III, IV, and/or V LN on renal biopsy. Urine samples were collected at week 0 (at the time of renal biopsy) and week 12 and then subjected to peptidome analysis using a capillary electrophoresis-mass spectrometry (CE-MS) platform. This peptidome data was used to calculate CKD273 and LN120 classifiers at each time point. LN response status was determined at week 52 based on proteinuria, creatinine, and prednisone dosage (no more than 10 mg daily). Spearman's rank correlation and t-tests were used to compare proteomic classifiers with renal biopsy characteristics and response.
Result(s): At week 0, both CKD273 and LN120, but not proteinuria, exhibited a moderate to strong correlation with histological activity index on renal biopsy (Figure 1; rho = 0.65 with p = 0.00024 for CKD273; rho = 0.47 with p = 0.013 for LN120). CKD273 also correlated with chronicity index (rho = 0.54, p = 0.0037). Neither classifier significantly correlated with lupus nephritis ISN class. With respect to response, CKD273 and LN120 were not significantly different between groups at week 0. However, a reduction in LN120 was observed in 100% of complete responders, 60% of partial responders, and 50% of non-responders at week 12 (Figure 2). The magnitude of this change in LN120 in complete responders versus non-responders did not reach statistical significance (p = 0.13), though this is potentially because of the small number of responders with CE-MS data available at both time points (n = 4). CKD273 did not significantly change with time in any response group (Figure 3).
Conclusion(s): This work provides proof of concept that urine proteomic classifiers can noninvasively predict histological activity and chronicity in LN. Complete responders, but not partial responders or non-responders, exhibited an impressive numerical decrease in LN120 by week 12, suggesting that proteomic scores may track with and predict a durable treatment response. Larger studies are needed to validate these findings

Background/Purpose: Treatment of lupus nephritis relies on renal histopathological features. However, renal biopsies do not capture patient-specific active biological pathways. Urine proteomic biomarkers could revolutionize the diagnosis and management of lupus nephritis by predicting active intrarenal biological pathways and can be noninvasively monitored over time.
Method(s): One thousand proteins were quantified (RayBiotech) in a total of 112 longitudinal urine samples from 30 SLE patients with active lupus nephritis and 7 healthy controls (HC). The proteins and molecular pathways detected in the urine proteome at the time of biopsy were then analyzed with respect to lupus nephritis class, response to treatment after 1 year, histopathological features (activity and chronicity indeces), and trajectory over time (baseline and week 12, 26, and 52). The intrarenal expression of candidate biomarkers was evaluated using single cell transcriptomics of renal biopsies from patients with active lupus nephritis.
Result(s): There were 237 proteins (FDR < 10%) enriched in the urine of patients with lupus nephritis reflecting several molecular pathways involving chemotaxis, extracellular matrix remodeling, and activation of neutrophils and platelets. Hierarchical clustering using urine proteomics segregated SLE patients into 2 groups, with 80% of complete responders clustering together. This finding could not be similarly reproduced using standard features including baseline proteinuria, creatinine, histologic activity or chronicity scores, or class, indicating unique informative features of urine proteomics (Fig. 1). Patients with proliferative lupus nephritis (class III or IV) had stronger activation of chemotaxis pathways. IL-16 was the urinary protein most significantly increased in proliferative disease compared to membranous (FC 6, p=0.002) (Fig. 2A). Assessment of urine proteins that correlated with histologic activity kidney highlighted IL-16 as the single most strongly correlated protein with histologic activity (r=0.69, p=9.5.10-5; Fig. 2B). IL-16 concentration was independent of the amount of proteinuria and progressively diminished over time in patients who were responding to immunosuppression (Fig. 2C). Single cell RNA sequencing revealed significant intrarenal expression of IL16 by all infiltrating immune cells and highlighted IL16 as the second most expressed cytokine in lupus nephritis kidneys out of a compendium of 236 cytokines (Fig. 3A-B).
Conclusion(s): Urine proteomics can noninvasively identify active and biologically relevant pathways in lupus nephritis. Integrated urine proteomics and renal single cell transcriptomics revealed that IL-16, a CD4 ligand with chemotactic and proinflammatory functions, was one of the most expressed cytokine in lupus nephritis. As a urine proteomic biomarker, IL-16 may predict renal histological activity and could be monitored over time to assess response to immunosuppression. Urinary IL-16 is independent of proteinuria thus potentially providing actionable clinical information that is not captured by currently used biomarkers. Further studies are ongoing to validate these findings

Background/Purpose: Lupus nephritis (LN) is a major complication of systemic lupus erythematous (SLE) and affects ~60% of patients during the course of their disease, leading to significant morbidity and mortality. Previous studies examining the safety of percutaneous kidney biopsy to diagnose LN have found variable complication rates depending on disease type studied, ranging from 4-11% in autoimmune/SLE patients to 15-17% in safety studies of any kidney disease. The purpose of our study was to define the safety of obtaining additional tissue for research during clinically indicated renal biopsies in a SLE cohort.
Method(s): Patients were enrolled across 15 clinical US sites in the SLE Accelerating Medicines Partnership (AMP). Kidney biopsies were clinically indicated to evaluate proteinuria (urine protein creatinine ratio [uPCR] > 0.5). Patients with a history of renal transplant, use of rituximab within 6 months of biopsy, and current pregnancy were excluded. Ultrasound/CT-guided kidney biopsies were performed by interventional radiologists/nephrologists generally using an 18-gauge needle although technique, number of routine passes and core lengths varied. An additional core taken solely for research purposes, or a piece of core with sufficient glomeruli remaining from the routine passes and not required for clinical diagnosis, was collected. All adverse events (AEs) occurring within 30 days of biopsy were reported, including duration, severity, type, and resolution.
Result(s): 482 patients underwent a renal biopsy between 2014 and 2020. All patients met criteria for SLE (ACR or SLICC) and the majority were female (85%). Pathologic assessment of clinical biopsies revealed ISN/RPS Class I-VI for most biopsies, although 45 biopsies (9%) yielded a non-LN diagnosis (Table 1). Overall, 37 patients (8%) experienced an AE with several more than one, with a total of 41 AEs reported. Of these AEs, 8 (20%) were considered by the site investigator to be unrelated or unlikely to be related (included pain, shortness of breath, cardiac arrest, fall, and hemoglobin decrease due to sepsis) and 33 (80%) were deemed possibly, probably, or definitely related to the study procedure. Of these events, 9/33 (28%) were mild, 10 (30%) were moderate, and 12 (36%) were deemed severe. In 18 patients (4%) the AEs were considered serious as defined by inpatient or prolonged hospitalization, significant incapacity, or requiring intervention to prevent permanent impairment. The most common related AEs were bleed-related complications, including hematoma, hemorrhage, and hemoglobin decrease (N= 29). Of these, 18 required hospitalization, with 4 of these patients receiving a blood transfusion. All 29 bleed-related complications resolved. The length of the research biopsy did not associate with an AE.
Conclusion(s): Procurement of an additional kidney biopsy core for research purposes in SLE patients undergoing a clinically-indicated kidney biopsy did not result in an increase in adverse events compared to the adverse event rate in prior studies of the safety of percutaneous kidney biopsy. Accordingly, inclusion of a research core should be considered feasible for future studies to advance discovery of new therapeutic targets and prognostic indicators in LN

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:Although hydroxychloroquine (HCQ) is a mainstay of treatment for patients with systemic lupus erythematosus (SLE), ocular toxicity can result from accumulated exposure. As the longevity of patients with SLE improves, data are needed to balance the risk of ocular toxicity and the risk of disease flare, especially in older patients with quiescent disease. Accordingly, this study was initiated to examine the safety of HCQ withdrawal in older SLE patients. METHODS:Data were obtained by retrospective chart review at three major lupus centers in New York City. Twenty-six patients who discontinued HCQ and thirty-two patients on HCQ matched for gender, race/ethnicity, and age were included in this study. The primary outcome was the occurrence of a lupus flare classified by the revised version of the Safety of Estrogens in Lupus Erythematosus: National Assessment version of the Systemic Lupus Erythematosus Disease Activity Index (SELENA-SLEDAI) Flare composite index, within 1 year of HCQ withdrawal or matched time of continuation. RESULTS:Five patients (19.2%) in the HCQ withdrawal group compared to five (15.6%) in the HCQ continuation group experienced a flare of any severity (odds ratio [OR] = 1.28; 95% CI 0.31, 5.30; p = 0.73). There were no severe flares in either group. The results were similar after adjusting for length of SLE, number of American College of Rheumatology criteria, low complement levels, and SELENA-SLEDAI score, and in a propensity score analysis (OR = 1.18; 95% CI 0.23, 6.16; p = 0.84). The analysis of time to any flare revealed a non-significant earlier time to flare in the HCQ withdrawal group (log-rank p = 0.67). Most flares were in the cutaneous and musculoskeletal systems, but one patient in the continuation group developed pericarditis. The most common reason for HCQ withdrawal was retinal toxicity (42.3%), followed by patient's preference (34.6%), other confirmed or suspected adverse effects (15.4%), ophthalmologist recommendation for macular degeneration (3.8%), and rheumatologist recommendation for quiescent SLE (3.8%). CONCLUSIONS:In this retrospective study of older stable patients with SLE on long-term HCQ, withdrawal did not significantly increase the risk of flares.

BACKGROUND:Experimental and clinical evidence support the role of macrophage Toll-like receptor signaling in maternal anti-SSA/Ro-mediated congenital heart block (CHB). OBJECTIVES/OBJECTIVE:Hydroxychloroquine (HCQ), an orally administered Toll-like receptor antagonist widely used in lupus including during pregnancy, was evaluated for efficacy in reducing the historical 18% recurrence rate of CHB. METHODS:This multicenter, open-label, single-arm, 2-stage clinical trial was designed using Simon's optimal approach. Anti-SSA/Ro-positive mothers with a previous pregnancy complicated by CHB were recruited (n = 19 Stage 1; n = 35 Stage 2). Patients received 400 mg daily of HCQ prior to completion of gestational week 10, which was maintained through pregnancy. The primary outcome was 2° or 3° CHB any time during pregnancy, and secondary outcomes included isolated endocardial fibroelastosis, 1° CHB at birth and skin rash. RESULTS:By intention-to-treat (ITT) analysis, 4 of 54 evaluable pregnancies resulted in a primary outcome (7.4%; 90% confidence interval: 3.4% to 15.9%). Because 9 mothers took potentially confounding medications (fluorinated glucocorticoids and/or intravenous immunoglobulin) after enrollment but prior to a primary outcome, to evaluate HCQ alone, 9 additional mothers were recruited and followed the identical protocol. In the per-protocol analysis restricted to pregnancies exposed to HCQ alone, 4 of 54 (7.4%) fetuses developed a primary outcome as in the ITT. Secondary outcomes included mild endocardial fibroelastosis (n = 1) and cutaneous neonatal lupus (n = 4). CONCLUSIONS:These prospective data support that HCQ significantly reduces the recurrence of CHB below the historical rate by >50%, suggesting that this drug should be prescribed for secondary prevention of fetal cardiac disease in anti-SSA/Ro-exposed pregnancies. (Preventive Approach to Congenital Heart Block With Hydroxychloroquine [PATCH]; NCT01379573).

Lupus nephritis, one of the most serious manifestations of systemic lupus erythematosus (SLE), has both a heterogeneous clinical and pathological presentation. For example, proliferative nephritis identifies a more aggressive disease class that requires immunosuppression. However, the current classification system relies on the static appearance of histopathological morphology which does not capture differences in the inflammatory response. Therefore, a biomarker grounded in the disease biology is needed to understand the molecular heterogeneity of lupus nephritis and identify immunologic mechanism and pathways. Here, we analyzed the patterns of 1000 urine protein biomarkers in 30 patients with active lupus nephritis. We found that patients stratify over a chemokine gradient inducible by interferon-gamma. Higher values identified patients with proliferative lupus nephritis. After integrating the urine proteomics with the single-cell transcriptomics of kidney biopsies, it was observed that the urinary chemokines defining the gradient were predominantly produced by infiltrating CD8 T cells, along with natural killer and myeloid cells. The urine chemokine gradient significantly correlated with the number of kidney-infiltrating CD8 cells. These findings suggest that urine proteomics can capture the complex biology of the kidney in lupus nephritis. Patient-specific pathways may be noninvasively tracked in the urine in real time, enabling diagnosis and personalized treatment.

OBJECTIVE:Autoimmune disease is an emerging condition among persons exposed to the September 11, 2001, attack on the World Trade Center (WTC). Components of the dust cloud resulting from the collapse of the WTC have been associated with systemic autoimmune diseases (SAID), as has posttraumatic stress disorder (PTSD). We sought to determine whether dust exposure and PTSD were associated with an increased risk of SAID in a 9/11-exposed cohort. METHODS:Among 43,133 WTC Health Registry enrollees, 2,786 self-reported a post-9/11 SAID. We obtained consent to review medical records to validate SAID diagnoses for 1,041. SAIDs were confirmed by classification criteria, rheumatologist diagnosis, or having been prescribed SAID medication. Controls were enrollees who denied an autoimmune disease diagnosis (n=37,017). We used multivariable log-binomial regression to examine the association between multiple 9/11 exposures and risk of post-9/11 SAID, stratifying by responders and community members. RESULTS:We identified 118 persons with SAID. Rheumatoid arthritis was most frequent (n=71), followed by SjÓ§gren's syndrome (n=22), systemic lupus erythematosus (n=20), myositis (n=9), mixed connective tissue disease (n=7), and scleroderma (n=4). Among 9/11 responders, those with intense dust cloud exposure had almost twice the risk of SAID (adjusted risk ratio =1.86, 95% CI=1.02-3.40). Community members with PTSD had a nearly three-fold increased risk of SAID. CONCLUSION/CONCLUSIONS:Intense dust cloud exposure among responders and PTSD among community members were associated with a statistically significant increased risk of new-onset SAID. Clinicians treating 9/11 survivors should be aware of the potential increased risk of SAID in this population.

Autoimmune-mediated congenital heart block (CHB) is a severe manifestation of neonatal lupus in which conduction tissues of the fetal heart are damaged. This occurs due to passive transference of maternal anti-SSA/Ro and anti-SSB/La autoantibodies and subsequent inflammation and fibrosis of the atrioventricular (AV) node. Notably, the disease manifests after the fetal heart has structurally developed, ruling out other anatomical abnormalities that could otherwise contribute to the block of conduction. Complete AV block is irreversible and the most common manifestation of CHB, although other cardiac complications such as endocardial fibroelastosis (EFE), dilated cardiomyopathy, and valvular insufficiency have been observed. In this review, we detail the classification, prevalence, pathogenesis, and clinical management recommendations for autoimmune CHB.