Faculty Bibliography

OBJECTIVE:Epidemiologic data for mixed connective tissue disease (MCTD) are limited. Leveraging data from the Manhattan Lupus Surveillance Program (MLSP), a racially/ethnically diverse population-based registry of cases with SLE and related diseases including MCTD, we provide estimates of the prevalence and incidence of MCTD. METHODS:MLSP cases were identified from rheumatologists, hospitals, and population databases using a variety of ICD-9 codes. MCTD was defined as one of the following: 1) fulfillment of our modified Alarcon-Segovia and Kahn criteria which required a positive RNP antibody and the presence of synovitis, myositis, and Raynaud's phenomenon, 2) a diagnosis of MCTD and no other diagnosis of another connective tissue disease (CTD), and 3) a diagnosis of MCTD regardless of another CTD diagnosis. RESULTS:Overall, 258 (7.7%) of cases met a definition of MCTD. Using our modified Alarcon-Segovia and Kahn criteria for MCTD, the age-adjusted prevalence was 1.28 (95%CI 0.72-2.09) per 100 000. Using our definition of a diagnosis of MCTD and no other diagnosis of another CTD yielded an age-adjusted prevalence and incidence of MCTD of 2.98 (95%CI 2.10-4.11) per 100 000 and 0.39 (95%CI 0.22-0.64) per 100 000, respectively. The age-adjusted prevalence and incidence were highest using a diagnosis of MCTD regardless of other CTD diagnoses and were 16.22 (95%CI 14.00-18.43) per 100 000 and 1.90 (95%CI 1.49-2.39) per 100 000 respectively. CONCLUSIONS:The MLSP provided estimates for prevalence and incidence of MCTD in a diverse population. The variation in estimates using different case definitions is reflective of the challenge of defining MCTD in epidemiologic studies.

OBJECTIVE:Platelets are mediators of inflammation with immune effector cell properties, and have been implicated in the pathogenesis of systemic lupus erythematosus (SLE). This study investigated the role of platelet associated lectin galactoside-binding soluble 3 binding protein (LGALS3BP) as a mediator of inflammation in SLE, and a potential biomarker associated with clinical phenotypes. METHODS:We performed RNA sequencing on platelets of patients with SLE (n=54) and age, sex, and race-matched controls (n=18) and measured LGALS3BP in platelet releasate and in circulating serum. We investigated the association between levels of LGALS3BP with the prevalence, disease severity, and clinical phenotpyes of SLE, and studied platelet-mediated effects on myeloid inflammation. RESULTS:). Platelet-released LGALS3BP was highly correlated with circulating LGALS3BP (R = 0.69, p < 0.0001). Circulating LGALS3BP correlated with the SLE disease activity index (R = 0.32, p = 0.0006). Specifically, circulating LGALS3BP was higher in SLE patients with lupus nephritis than those with inactive disease (4.0 μg/mL vs 2.3 μg/mL, P < 0.001). IFN-α induced LGALS3BP transcription and translation in a megakaryoblastic cell line (MEG-01) cells in a dose-dependent manner. Recombinant LGALS3BP and platelet releasates from SLE patients enhanced pro-inflammatory cytokine production by macrophages. CONCLUSIONS:These data support that platelets act as potent effector cells contributing to the pathogenesis of SLE by secreting proinflammatory LGALS3BP, which also represents a novel biomarker of SLE clinical activity.

OBJECTIVE:Using the Manhattan Lupus Surveillance Program (MLSP), a multi-racial/ethnic population-based registry, we compared three commonly used classification criteria for Systemic Lupus Erythematosus (SLE) to identify unique cases and determine the incidence and prevalence of SLE using the EULAR/ACR criteria. METHODS:SLE cases were defined as fulfilling 1997 ACR, SLICC, or EULAR/ACR classification criteria. We quantified the number of cases uniquely associated with each and the number fulfilling all three. Prevalence and incidence using the EULAR/ACR classification criteria and associated 95% confidence intervals (CI) were calculated. RESULTS:1,497 cases fulfilled at least one of the three classification criteria, with 1,008 (67.3%) meeting all three classifications, 138 (9.2%) fulfilling only SLICC criteria, 35 (2.3%) fulfilling only ACR criteria and 34 (2.3%) uniquely fulfilling EULAR/ACR criteria. Patients solely satisfying EULAR/ACR criteria had fewer than four manifestations. The majority classified only by the ACR criteria did not meet any of the defined immunologic criteria. Patients fulfilling only SLICC criteria did so based on the presence of features unique to this system. Using the EULAR/ACR classification criteria, age-adjusted overall prevalence and incidence rates of SLE in Manhattan were 59.6 (95%CI:55.9-63.4) and 4.9 (95%CI 4.3-5.5) per 100,000 population, with age-adjusted prevalence and incidence rates highest among non-Hispanic Black females. CONCLUSION/CONCLUSIONS:Applying the three commonly used classification criteria to a population-based registry identified patients with SLE fulfilling only one validated definition. The most recently developed EULAR/ACR classification criteria revealed similar prevalence and incidence estimates to those previously established for the ACR and SLICC classification schemes.

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 Lupus nephritis can occur as an isolated component of disease activity or be accompanied by diverse extrarenal symptoms that can adversely affect a patient's quality of life (QOL). Whether renal disease absent other activity is sufficient to decrease QOL is unknown. A lack of reported QOL impairment may place patients at risk for delayed diagnosis of nephritis or medication noncompliance yet nephritis trials have largely neglected QOL. As such, this study leveraged the multi-center multi-racial Accelerating Medicines Partnership (AMP) lupus nephritis cohort to assess QOL measured by PROMIS-29. Methods Patients (n=182) fulfilling ACR or SLICC criteria for SLE with a uPCR >= .5 and biopsy Class III, IV, V, or mixed were consecutively enrolled in AMP at the time of renal biopsy and clinical history, PROMIS-29, and disease activity as assessed by the hybrid SELENA-SLEDAI were recorded. Patients were determined to have extrarenal clinical activity if, after excluding all laboratory parameters from the SLEDAI, the score remained >= 1. Raw PROMIS-29 scores were transformed to t-scores with the mean of 50 +/- 10 representing the US population and a difference of 5 points considered clinically meaningful. PROMIS-29 physical and mental health summary scores were calculated according to published formulas. Results Forty-three percent of patients (n=78) had extrarenal clinical manifestations including vasculitis (4%), arthritis (39%), rash (45%), alopecia (42%), mucosal ulcers (13%), pleurisy (12%), pericarditis (8%), and fever (4%). Patients with isolated renal disease (n=104, 57%) did not have PROMIS-29 scores that differed clinically from the US population whereas patients with extrarenal disease reported deficits in physical functioning, fatigue, social functioning, and pain (table 1). Patients with extrarenal disease had significantly lower physical health summary scores compared to patients with isolated disease (median [IQR]: 40.31 [35.79, 47.02] p<0.001 vs. 48.6 [40.14, 57.08]) and significantly lower mental health summary scores (44.12 [38.63, 51.39], p=0.024 vs. 48.67 [40.51, 55.07]). Female and African American patients and those with nephrotic range proteinuria or undergoing first biopsy had significantly lower physical health summary scores, but mental health summary scores did not differ by these variables. Patients on greater than 20 mg of prednisone had both significantly lower physical and mental health summary scores compared to those on lower doses. PROMIS-29 scores did not differ by low complements, anti-dsDNA, or anti-Ro antibodies. Stepwise multivariable linear regression analysis demonstrated that the association between extrarenal disease and lower PROMIS-29 summary scores was primarily driven by arthritis and independent of potential confounders (tables 2 and 3). Conclusion The majority of patients had isolated renal disease and report a QOL similar to that of the general population. In contrast, those with extrarenal manifestations report significantly worse QOL outcomes. These results reinforce the critical importance of routine laboratory surveillance and medication compliance for nephritis even in patients with seemingly quiescent clinical disease since lupus nephritis is often asymptomatic

Background/Purpose: Lupus nephritis (LN) is characterized by considerable variability in its clinical manifestations and histopathological findings. Understanding the cellular and molecular mechanisms underlying this heterogeneity is key for the development of personalized treatments for LN.
Method(s): Droplet-based single-cell RNA-sequencing was applied to the analysis of dissociated kidney samples, collected from 155 LN patients with active kidney disease and 30 living donor controls as part of a large-scale, multi-center study. 73,440 immune cells passing quality control were identified, spanning 134 cell subsets, representing various populations of tissue-resident and infiltrating leukocytes, as well as the activation states these cells assume as part of their diseaserelated activation and differentiation (Fig. 1). Principal component analysis (PCA) was used to characterize the variability in cell subset frequencies across the LN patients. Relationships between the resulting principal components (PCs) and the demographic, clinical and histopathological features of the patients were then assessed. Figure 1. Single-cell RNA-sequencing was used to profile immune cells isolated from the kidneys of LN patients and healthy controls. Five main lineages of cells were identified, as shown in a Uniform Manifold Approximation and Projection (UMAP) plot: myeloid cells, T/NK cells, B cells, plasma cells and dividing cells. The cells of each lineage were further split into finer subsets of cells (color-coded).
Result(s): The first PC (PC1), explaining 33% of the total variability in cell subset frequencies, reflected the balance between lymphocytes and monocytes/macrophages. The second PC (PC2), explaining an additional 21% of the total variability, represented the degree of macrophage differentiation to an alternatively activated phagocytic profile. The third and fourth PCs, bringing the total explained variability to 74%, were related to the balance between cell-mediated and humoral immune responses. PC1 was significantly correlated with the Chronicity index, such that patients with a higher percentage of lymphocytes compared to monocytes/macrophages had a higher Chronicity score (rho =-0.439, p-value < 0.001; Fig. 2A). A high degree of macrophage differentiation, as represented by PC2, was associated with a high Activity score (rho =-0.495, p-value < 0.001; Fig. 2B), and, in addition, with proliferative or mixed histology class, compared to pure membranous nephritis (p-value = 0.001, Kruskal-Wallis test). We further identified a significant correlation of these PCs with age; specifically, older patients had a higher relative frequency of lymphocytes compared to monocytes/macrophages, a lesser degree of macrophage differentiation, and a higher representation of cells putatively involved in a humoral immune response compared to a cell-mediated one.
Conclusion(s): These results identify distinct leukocyte populations active in different LN patients and, possibly, different stages of disease, and suggest potential therapeutic targets, that must be validated in mechanistic studies. This approach may pave the way to personalized treatment of LN

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/Purpose: Patients with systemic lupus erythematosus (SLE) are at high risk for severe disease from COVID-19 and decreased vaccine efficacy, due to inherent immune perturbations and frequent immunosuppressant use. The impact of vaccine responses was "pressure" tested in New York City (NYC) from December 2021-February 2022, due to the highly infectious omicron BA.1 variant which resulted in a significant increase in COVID-19 cases and hospitalizations. This study was performed to assess clinical efficacy and seroreactivity in SLE patients with and without an additional vaccination dose after initial vaccine series, particularly during the omicron BA.1 surge in NYC.
Method(s): COVID-19 infections after vaccination were evaluated during patient encounters and chart review in subjects from the NYU Lupus Cohort who received an initial SARS-CoV-2 vaccine series with follow-up for at least 6 months or until breakthrough infection. Clinical follow-up was required after February 4, 2022 (when NYC COVID-19 cases returned to their preomicron BA.1 baseline), with last patient follow-up recorded April 24, 2022. Positive PCR or antigen-based testing was required, performed at the clinical site or self-reported. Fifty-seven patients receiving additional vaccine doses were evaluated longitudinally for recombinant SARS-CoV-2 spike receptor binding domain antibodies (#BT10500; R&D Systems). Low post-vaccine antibody response was defined as <=100 units/ml.
Result(s): Among the 163 subjects evaluated, 125 (76.7%) received an additional COVID-19 vaccination after the initial series. Demographics and medication usage were similar in patients who did and did not receive the additional vaccination dose, with 50% on at least one immunosuppressant and 16% on more than one at the time of the initial vaccine. Twentyeight (63.6%) of the 44 patients with a breakthrough infection had received an additional vaccination compared to 97 (81.5%) of the 119 without breakthrough infection (p=0.022) (Table 1). Of the 44 COVID-19 cases, only 2 occurred prior to the omicron wave, both in patients who did not receive the additional dose. There were no COVID-19 related deaths and two patients were hospitalized. Among the 57 patients with serologic evaluation, the median antibody level after initial vaccination series was 397 u/mL (IQR 57-753), and 1036 (IQR 517-1338.5) after the additional dose. After initial vaccination, 21 (37%) had low ELISA responses, but only 4 (7%) continued to have low responses after the additional dose. There was no association between the level of antibody after the additional dose and COVID-19 breakthrough.
Conclusion(s): SLE patients from a cohort of patients in NYC who received an additional SARS-CoV-2 vaccine dose were significantly less likely to have a subsequent COVID-19 infection compared to those who only completed their initial vaccine series. SLE patients demonstrated an improvement in serologic response after an additional dose of SARS-CoV-2 vaccine. The mild disease in all vaccinated patients is reassuring given the risks inherent and frequent immunosuppressant use in this patient population

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 Lupus nephritis (LN) is characterized by considerable variability in its clinical manifestations and histopathological findings. Understanding the cellular and molecular mechanisms underlying this heterogeneity is key for the development of personalized treatments for LN. Methods Droplet-based single-cell RNA-sequencing was applied to the analysis of dissociated kidney samples, collected from 155 LN patients with active kidney disease and 30 living donor controls as part of the Accelerating Medicines Partnership (AMP) in SLE consortium -a large-scale, multi-center study. 73,440 immune cells passing quality control were identified, spanning 134 cell subsets, representing various populations of tissue-resident and infiltrating leukocytes, as well as the activation states these cells assume as part of their diseaserelated activation and differentiation (figure 1). Principal component analysis (PCA) was used to characterize the variability in cell subset frequencies across the LN patients. Relationships between the resulting principal components (PCs) and the demographic, clinical and histopathological features of the patients were then assessed. Results The main source of variability in immune cell subset frequencies, as represented by the first PC (PC1), reflected the balance between lymphocytes and monocytes/macrophages. Subsequent PCs represented the balance between B cells and T cells (PC2); the levels of cytotoxic T lymphocytes and NK cells, as compared to plasma cells (PC3); and the degree of macrophage differentiation to an alternatively activated phagocytic profile (PC4). PC1 was significantly correlated with the Chronicity index, such that patients with a higher percentage of lymphocytes compared to monocytes/macrophages had a higher Chronicity score (rho = -0.422, p-value < 0.001; figure 2A). A high degree of macrophage differentiation, as represented by PC4, was associated with a high Activity score (rho = 0.387, p-value < 0.001; figure 2B), and, in addition, with proliferative or mixed histology class, compared to pure membranous nephritis (p-value = 0.001, Kruskal-Wallis test). The ratio of B cells to T cells, as represented by PC2, demonstrated a positive correlation with the Activity index (rho = 0.311, p-value < 0.001). We further identified a significant correlation of PC1 with age; specifically, older patients had a higher relative frequency of lymphocytes compared to monocytes/macrophages (rho = -0.239, p-value = 0.003). Our analysis indicated that these relations are not driven by demographic, clinical and technical sources of variation in our data, including race, ethnicity, the mixture of different nephritic classes, and the inclusion of both first and later biopsies. Conclusion Our work identifies distinct leukocyte populations active in different LN patients and, possibly, different stages of disease, and points to potential therapeutic targets, that must be validated in mechanistic studies. This approach may pave the way to personalized treatment of LN