Benjamin Arthur Turturice

Objective: Relapsing polychondritis (RP) is a rare disease defined by recurrent cartilaginous inflammation. Anti–collagen II (Col2) antibodies have been proposed as a diagnostic biomarker for RP, but their performance characteristics are not well defined. Methods: In an observational cohort, anti‐Col2 antibody levels were measured in patients with RP compared to other inflammatory diseases that mimic RP. In parallel, a systematic review and meta‐analysis was performed to assess anti‐Col2 antibody prevalence across a broad spectrum of diseases. Individual study risk ratios (RRs) and pooled disease category RRs, study bias, and interstudy heterogeneity were assessed. Results: In the observational cohort, anti‐Col2 antibody prevalence did not differ between RP and comparators. The performance characteristics of anti‐Col2 to diagnose RP were poor (sensitivity = 18%; specificity = 72%). Anti‐Col2 antibody titers did not correlate with disease activity in RP ( r = 0.08, P = 0.44). In the systematic review, 71 of 2,443 reviewed articles were included. Anti‐Col2 antibodies were not associated with RP across five pooled studies (RR: 2.09; 95% confidence interval [CI]: 0.05–81.80; P = 0.69). Anti‐Col2 antibodies were significantly associated with a composite group of inflammatory diseases with cartilaginous involvement (RR: 2.99; 95% CI: 1.29–6.91; P = 0.01). Studies using healthy controls reported increased effect sizes compared to studies that used disease controls (β‐estimate = 1.14, I ² = 17.08%; P = 0.0004). Conclusion: Anti‐Col2 antibodies are neither sensitive nor specific for RP, are detected in the minority of patients with RP, and are detected at similar prevalences across a spectrum of inflammatory diseases with cartilage inflammation. Use of these antibodies to diagnose or monitor RP is not advisable.

Introduction: End-stage renal disease (ESRD) results in immune dysfunction that is characterized by both systemic inflammation and immune incompetence, leading to impaired responses to vaccination. Methods: To unravel the complex regulatory immune interplay in ESRD, we performed the network-based transcriptomic profiling of ESRD patients on maintenance hemodialysis (HD) and matched healthy controls (HCs) who received the two-dose regimen of the COVID-19 mRNA vaccine BNT162b2. Results: Co-expression networks based on blood transcription modules (BTMs) of genes differentially expressed between the HD and HC groups revealed co-expression patterns that were highly similar between the two groups but weaker in magnitude in the HD compared to HC subjects. These networks also showed weakened coregulation between BTMs within the dendritic cell (DC) family as well as with other BTM families involved with innate immunity. The gene regulatory networks of the most enriched BTMs, likewise, highlighted weakened targeting by transcription factors of key genes implicated in DC, natural killer (NK) cell, and T cell activation and function. The computational deconvolution of immune cell populations further bolstered these findings with discrepant proportions of conventional DC subtypes, NK T cells, and CD8+ T cells in HD subjects relative to HCs. Conclusion: Altogether, our results indicate that constitutive inflammation in ESRD compromises the activation of DCs and NK cells, and, ultimately, their mediation of downstream lymphocytes, leading to a delayed but intact immune response to mRNA vaccination.

Background: End-stage renal disease (ESRD) patients experience immune compromise characterized by complex alterations of both innate and adaptive immunity, and results in higher susceptibility to infection and lower response to vaccination. This immune compromise, coupled with greater risk of exposure to infectious disease at hemodialysis (HD) centers, underscores the need for examination of the immune response to the COVID-19 mRNA-based vaccines.Methods: The immune response to the COVID-19 BNT162b2 mRNA vaccine was assessed in 20 HD patients and cohort-matched controls. RNA sequencing of peripheral blood mononuclear cells was performed longitudinally before and after each vaccination dose for a total of six time points per subject. Anti-spike antibody levels were quantified prior to the first vaccination dose (V1D0) and 7 d after the second dose (V2D7) using anti-spike IgG titers and antibody neutralization assays. Anti-spike IgG titers were additionally quantified 6 mo after initial vaccination. Clinical history and lab values in HD patients were obtained to identify predictors of vaccination response.Results: Transcriptomic analyses demonstrated differing time courses of immune responses, with prolonged myeloid cell activity in HD at 1 wk after the first vaccination dose. HD also demonstrated decreased metabolic activity and decreased antigen presentation compared to controls after the second vaccination dose. Anti-spike IgG titers and neutralizing function were substantially elevated in both controls and HD at V2D7, with a small but significant reduction in titers in HD groups (p<0.05). Anti-spike IgG remained elevated above baseline at 6 mo in both subject groups. Anti-spike IgG titers at V2D7 were highly predictive of 6-month titer levels. Transcriptomic biomarkers after the second vaccination dose and clinical biomarkers including ferritin levels were found to be predictive of antibody development.Conclusions: Overall, we demonstrate differing time courses of immune responses to the BTN162b2 mRNA COVID-19 vaccination in maintenance HD subjects comparable to healthy controls and identify transcriptomic and clinical predictors of anti-spike IgG titers in HD. Analyzing vaccination as an in vivo perturbation, our results warrant further characterization of the immune dysregulation of ESRD.Funding: F30HD102093, F30HL151182, T32HL144909, R01HL138628. This research has been funded by the University of Illinois at Chicago Center for Clinical and Translational Science (CCTS) award UL1TR002003.

Background End-stage renal disease (ESRD) patients experience immune compromise characterized by complex alterations of both innate and adaptive immunity, and results in higher susceptibility to infection and lower response to vaccination. This immune compromise, coupled with greater risk of exposure to infectious disease at hemodialysis (HD) centers, underscores the need for examination of the immune response to the COVID-19 mRNA-based vaccines. Methods A transcriptomic analysis of the immune response to the Covid-19 BNT162b2 mRNA vaccine was assessed in 20 HD patients and cohort-matched controls. RNA sequencing of peripheral blood mononuclear cells (PBMCs) was performed longitudinally before and after each vaccination dose for a total of six time points per subject. Anti-spike antibody levels were quantified prior to the first vaccination dose (V1D0) and seven days after the second dose (V2D7) using anti-Spike IgG titers and antibody neutralization assays. Anti-spike IgG titers were additionally quantified six months after initial vaccination. Clinical history and lab values in HD patients were obtained to identify predictors of vaccination response. Results Transcriptomic analyses demonstrated differing time courses of immune responses, with predominant T cell activity in controls one week after the first vaccination dose, compared to predominant myeloid cell activity in HD at this time point. HD demonstrated decreased metabolic activity and decreased antigen presentation compared to controls after the second vaccination dose. Anti-spike IgG titers and neutralizing function were substantially elevated in both controls and HD at V2D7, with a small but significant reduction in titers in HD groups (p < 0.05). Anti-spike IgG remained elevated above baseline at six months in both subject groups. Anti-spike IgG titers at V2D7 were highly predictive of 6-month titer levels. Transcriptomic biomarkers after the second vaccination dose and clinical biomarkers including ferritin levels were found to be predictive of antibody development. Conclusion Overall, we demonstrate differing time courses of immune responses to the BTN162b2 mRNA COVID-19 vaccination in maintenance hemodialysis subjects (HD) comparable to healthy controls (HC) and identify transcriptomic and clinical predictors of anti-Spike IgG titers in HD. Analyzing vaccination as an in vivo perturbation, our results warrant further characterization of the immune dysregulation of end stage renal disease (ESRD). Funding F30HD102093, F30HL151182, T32HL144909, R01HL138628 This research has been funded by the University of Illinois at Chicago Center for Clinical and Translational Science (CCTS) award UL1TR002003

The drive to withstand environmental stresses and defend against invasion is a universal trait extant in all forms of life. While numerous canonical signaling cascades have been characterized in detail, it remains unclear how these pathways interface to generate coordinated responses to diverse stimuli. To dissect these connections, we followed heparanase (HPSE), a protein best known for its endoglycosidic activity at the extracellular matrix but recently recognized to drive various forms of late-stage disease through unknown mechanisms. Using herpes simplex virus-1 (HSV-1) infection as a model cellular perturbation, we demonstrate that HPSE acts beyond its established enzymatic role to restrict multiple forms of cell-intrinsic defense and facilitate host cell reprogramming by the invading pathogen. We reveal that cells devoid of HPSE are innately resistant to infection and counteract viral takeover through multiple amplified defense mechanisms. With a unique grasp of the fundamental processes of transcriptional regulation and cell death, HPSE represents a potent cellular intersection with broad therapeutic potential.

There are perinatal characteristics, such as gestational age, reproducibly associated with the risk for pediatric asthma. Identification of biologic processes influenced by these characteristics could facilitate risk stratification or new therapeutic targets. We hypothesized that transcriptional changes associated with multiple epidemiologic risk factors would be mediators of pediatric asthma risk. Using publicly available transcriptomic data from cord blood mononuclear cells, transcription of genes involved in myeloid differentiation was observed to be inversely associated with a pediatric asthma risk stratification based on multiple perinatal risk factors. This gene signature was validated in an independent prospective cohort and was specifically associated with genes localizing to neutrophil-specific granules. Further validation demonstrated that umbilical cord blood serum concentration of PGLYRP-1, a specific granule protein, was inversely associated with mid-childhood current asthma and early-teen FEV₁/FVCx100. Thus, neutrophil-specific granule abundance at birth predicts risk for pediatric asthma and pulmonary function in adolescence.

Allergic asthma is a chronic disease beginning in childhood that is characterized by dominant T-helper 2 cell activation without adequate counter-regulation by T-helper 1 cell and regulatory T cell activity. Prior transcriptomic studies of childhood asthma have primarily investigated subjects who already have a disease diagnosis, and have generally taken an approach of differential gene expression as opposed to differential gene interactions. The immune states that predispose towards allergic sensitization and disease development remain ill defined. We thus characterize immune networks of asthmatic predisposition in children at the age of 2, prior to the diagnosis of allergic asthma, who are subsequently diagnosed with asthma at the age of 7. We show extensive differences of gene expression networks and gene regulatory networks in children who develop asthma versus those who do not using transcriptomic data from stimulated peripheral blood mononuclear cells. Moreover, transcription factors that bind proximally to one another share patterns of dysregulation, suggesting that network differences prior to asthma diagnosis result from altered accessibility of gene targets. In summary, we demonstrate non-allergen-specific immune network dysregulation in individuals long before clinical asthma diagnosis.

Many perinatal characteristics are associated with risk for pediatric asthma. Identification of biologic processes influenced by these characteristics could facilitate risk stratification or new therapeutic targets. Using publicly available transcriptomic data from CBMCs, transcription of genes involved in myeloid differentiation were inversely associated with pediatric asthma risk stratification based on gestational age at birth, sex, birthweight, and maternal pre-pregnancy BMI. This gene signature was validated in an independent cohort and was specifically associated with genes localizing to neutrophil specific granules. Changes in these genes correlated with changes in protein abundance in serum. CBMC serum levels of PGLYRP-1, a specific granule protein, and sIL6Rα, a membrane protein, were tested for association with pulmonary outcomes. PGLYRP-1 concentration was inversely associated with mid-childhood current asthma and early-teen FEV ₁ /FVC×100. Thus, variation in neutrophil specific granule abundance at birth is associated with individual risk for pediatric asthma and reduced pulmonary function in adolescence.