Cryoglobulin-Associated Retinal Vasculitis: Retrospective Case Series.

Purpose: To highlight clinical and imaging features of 5 patients diagnosed with retinal vasculitis and cryoglobulins. Methods: This retrospective case series describes clinical and angiographic features of retinal vasculitis and serum cryoglobulins and is the most extensive series to our knowledge. Results: Five female patients were diagnosed with retinal vasculitis and serum cryoglobulins. The average age at time of cryoglobulin identification was 46 years (range, 28-72 years), although retinal vasculitis had been present for various durations. Fluorescein angiograms demonstrated large-vessel and small-vessel segmental leakage in 3 patients, only large-vessel segmental leakage in 1 patient, and only small-vessel segmental leakage in 1 patient. Treatment included topical steroids, intraocular steroid injections, oral corticosteroids, oral antimetabolites, and biologic therapy. At the time of this report, 4 of 5 patients had persistent angiographic leakage; however, none had retinal vascular occlusions. Conclusions: Various treatments were efficacious, although resolution was difficult. No patient experienced retinal vascular occlusions or other types of end-organ compromise.

Developing A Baseline Metabolomic Signature Associated with COVID-19 Severity: Insights from Prospective Trials Encompassing 13 U.S. Centers.

Metabolic disease is a significant risk factor for severe COVID-19 infection, but the contributing pathways are not yet fully elucidated. Using data from two randomized controlled trials across 13 U.S. academic centers, our goal was to characterize metabolic features that predict severe COVID-19 and define a novel baseline metabolomic signature. Individuals (n = 133) were dichotomized as having mild or moderate/severe COVID-19 disease based on the WHO ordinal scale. Blood samples were analyzed using the Biocrates platform, providing 630 targeted metabolites for analysis. Resampling techniques and machine learning models were used to determine metabolomic features associated with severe disease. Ingenuity Pathway Analysis (IPA) was used for functional enrichment analysis. To aid in clinical decision making, we created baseline metabolomics signatures of low-correlated molecules. Multivariable logistic regression models were fit to associate these signatures with severe disease on training data. A three-metabolite signature, lysophosphatidylcholine a C17:0, dihydroceramide (d18:0/24:1), and triacylglyceride (20:4_36:4), resulted in the best discrimination performance with an average test AUROC of 0.978 and F1 score of 0.942. Pathways related to amino acids were significantly enriched from the IPA analyses, and the mitogen-activated protein kinase kinase 5 (MAP2K5) was differentially activated between groups. In conclusion, metabolites related to lipid metabolism efficiently discriminated between mild vs. moderate/severe disease. SDMA and GABA demonstrated the potential to discriminate between these two groups as well. The mitogen-activated protein kinase kinase 5 (MAP2K5) regulator is differentially activated between groups, suggesting further investigation as a potential therapeutic pathway.

Development of a proteomic signature associated with severe disease for patients with COVID-19 using data from 5 multicenter, randomized, controlled, and prospective studies.

Significant progress has been made in preventing severe COVID-19 disease through the development of vaccines. However, we still lack a validated baseline predictive biologic signature for the development of more severe disease in both outpatients and inpatients infected with SARS-CoV-2. The objective of this study was to develop and externally validate, via 5 international outpatient and inpatient trials and/or prospective cohort studies, a novel baseline proteomic signature, which predicts the development of moderate or severe (vs mild) disease in patients with COVID-19 from a proteomic analysis of 7000 + proteins. The secondary objective was exploratory, to identify (1) individual baseline protein levels and/or (2) protein level changes within the first 2 weeks of acute infection that are associated with the development of moderate/severe (vs mild) disease. For model development, samples collected from 2 randomized controlled trials were used. Plasma was isolated and the SomaLogic SomaScan platform was used to characterize protein levels for 7301 proteins of interest for all studies. We dichotomized 113 patients as having mild or moderate/severe COVID-19 disease. An elastic net approach was used to develop a predictive proteomic signature. For validation, we applied our signature to data from three independent prospective biomarker studies. We found 4110 proteins measured at baseline that significantly differed between patients with mild COVID-19 and those with moderate/severe COVID-19 after adjusting for multiple hypothesis testing. Baseline protein expression was associated with predicted disease severity with an error rate of 4.7% (AUC = 0.964). We also found that five proteins (Afamin, I-309, NKG2A, PRS57, LIPK) and patient age serve as a signature that separates patients with mild COVID-19 and patients with moderate/severe COVID-19 with an error rate of 1.77% (AUC = 0.9804). This panel was validated using data from 3 external studies with AUCs of 0.764 (Harvard University), 0.696 (University of Colorado), and 0.893 (Karolinska Institutet). In this study we developed and externally validated a baseline COVID-19 proteomic signature associated with disease severity for potential use in both outpatients and inpatients with COVID-19.

Chronic antigen in solid tumors drives a distinct program of T cell residence.

Analyses of healthy tissue reveal signatures that identify resident memory CD8+ T cells (TRM), which survey tissues without recirculating. The density of TRM phenotype cells within solid tumors correlates favorably with prognosis, suggesting that intratumoral residents control cancer. However, residence has not been directly tested, and intratumoral TRM phenotype cells could instead reflect aspects of the microenvironment that correlate with prognosis. Using a breast cancer model in mice, we found that conventional TRM markers do not inform the tumor residence of either bystander or tumor-specific cells, which exhibit further distinct phenotypes in the tumor microenvironment and healthy mammary tissue. Rather, tumor-specific, stem progenitor CD8+ T cells migrate to tumors and become resident while acquiring select markers of exhaustion. These data indicate that tonic antigen stimulation and the tumor environment drive distinct programs of residence compared with healthy tissues and that tumor immunity is sustained by continued migration of tumor-specific stem cells.

Depleting CD103+ resident memory T cells in vivo reveals immunostimulatory functions in oral mucosa.

The oral mucosa is a frontline for microbial exposure and juxtaposes several unique tissues and mechanical structures. Based on parabiotic surgery of mice receiving systemic viral infections or co-housing with microbially diverse pet shop mice, we report that the oral mucosa harbors CD8+ CD103+ resident memory T cells (TRM), which locally survey tissues without recirculating. Oral antigen re-encounter during the effector phase of immune responses potentiated TRM establishment within tongue, gums, palate, and cheek. Upon reactivation, oral TRM triggered changes in somatosensory and innate immune gene expression. We developed in vivo methods for depleting CD103+ TRM while sparing CD103neg TRM and recirculating cells. This revealed that CD103+ TRM were responsible for inducing local gene expression changes. Oral TRM putatively protected against local viral infection. This study provides methods for generating, assessing, and in vivo depleting oral TRM, documents their distribution throughout the oral mucosa, and provides evidence that TRM confer protection and trigger responses in oral physiology and innate immunity.

Tissue-resident memory T cells trigger rapid exudation and local antibody accumulation.

Adaptive immunity is didactically partitioned into humoral and cell-mediated effector mechanisms, which may imply that each arm is separate and does not function together. Here, we report that the activation of CD8+ resident memory T cells (TRM) in nonlymphoid tissues triggers vascular permeability, which facilitates rapid distribution of serum antibodies into local tissues. TRM reactivation was associated with transcriptional upregulation of antiviral signaling pathways as well as Fc receptors and components of the complement cascade. Effects were local, but evidence is presented that TRM in brain and reproductive mucosa are both competent to induce rapid antibody exudation. TRM reactivation in the mouse female genital tract increased local concentrations of virus-specific neutralizing antibodies, including anti-vesicular stomatitis virus, and passively transferred anti-HIV antibodies. We showed that this response was sufficient to increase the efficacy of ex vivo vesicular stomatitis virus neutralization. These results indicate that CD8+ TRM antigen recognition can enhance local humoral immunity.

Characterizing COVID-19 clinical phenotypes and associated comorbidities and complication profiles.

PURPOSE: Heterogeneity has been observed in outcomes of hospitalized patients with coronavirus disease 2019 (COVID-19). Identification of clinical phenotypes may facilitate tailored therapy and improve outcomes. The purpose of this study is to identify specific clinical phenotypes across COVID-19 patients and compare admission characteristics and outcomes. METHODS: This is a retrospective analysis of COVID-19 patients from March 7, 2020 to August 25, 2020 at 14 U.S. hospitals. Ensemble clustering was performed on 33 variables collected within 72 hours of admission. Principal component analysis was performed to visualize variable contributions to clustering. Multinomial regression models were fit to compare patient comorbidities across phenotypes. Multivariable models were fit to estimate associations between phenotype and in-hospital complications and clinical outcomes. RESULTS: The database included 1,022 hospitalized patients with COVID-19. Three clinical phenotypes were identified (I, II, III), with 236 [23.1%] patients in phenotype I, 613 [60%] patients in phenotype II, and 173 [16.9%] patients in phenotype III. Patients with respiratory comorbidities were most commonly phenotype III (p = 0.002), while patients with hematologic, renal, and cardiac (all p<0.001) comorbidities were most commonly phenotype I. Adjusted odds of respiratory, renal, hepatic, metabolic (all p<0.001), and hematological (p = 0.02) complications were highest for phenotype I. Phenotypes I and II were associated with 7.30-fold (HR:7.30, 95% CI:(3.11-17.17), p<0.001) and 2.57-fold (HR:2.57, 95% CI:(1.10-6.00), p = 0.03) increases in hazard of death relative to phenotype III. CONCLUSION: We identified three clinical COVID-19 phenotypes, reflecting patient populations with different comorbidities, complications, and clinical outcomes. Future research is needed to determine the utility of these phenotypes in clinical practice and trial design.

mTOR inhibition in COVID-19: A commentary and review of efficacy in RNA viruses.

In this commentary, we shed light on the role of the mammalian target of rapamycin (mTOR) pathway in viral infections. The mTOR pathway has been demonstrated to be modulated in numerous RNA viruses. Frequently, inhibiting mTOR results in suppression of virus growth and replication. Recent evidence points towards modulation of mTOR in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. We discuss the current literature on mTOR in SARS-CoV-2 and highlight evidence in support of a role for mTOR inhibitors in the treatment of coronavirus disease 2019.

Characterizing COVID-19 Clinical Phenotypes and Associated Comorbidities and Complication Profiles.

BACKGROUND: There is limited understanding of heterogeneity in outcomes across hospitalized patients with coronavirus disease 2019 (COVID-19). Identification of distinct clinical phenotypes may facilitate tailored therapy and improve outcomes. OBJECTIVE: Identify specific clinical phenotypes across COVID-19 patients and compare admission characteristics and outcomes. DESIGN, SETTINGS, AND PARTICIPANTS: Retrospective analysis of 1,022 COVID-19 patient admissions from 14 Midwest U.S. hospitals between March 7, 2020 and August 25, 2020. METHODS: Ensemble clustering was performed on a set of 33 vitals and labs variables collected within 72 hours of admission. K-means based consensus clustering was used to identify three clinical phenotypes. Principal component analysis was performed on the average covariance matrix of all imputed datasets to visualize clustering and variable relationships. Multinomial regression models were fit to further compare patient comorbidities across phenotype classification. Multivariable models were fit to estimate the association between phenotype and in-hospital complications and clinical outcomes. Main outcomes and measures: Phenotype classification (I, II, III), patient characteristics associated with phenotype assignment, in-hospital complications, and clinical outcomes including ICU admission, need for mechanical ventilation, hospital length of stay, and mortality. RESULTS: The database included 1,022 patients requiring hospital admission with COVID-19 (median age, 62.1 [IQR: 45.9-75.8] years; 481 [48.6%] male, 412 [40.3%] required ICU admission, 437 [46.7%] were white). Three clinical phenotypes were identified (I, II, III); 236 [23.1%] patients had phenotype I, 613 [60%] patients had phenotype II, and 173 [16.9%] patients had phenotype III. When grouping comorbidities by organ system, patients with respiratory comorbidities were most commonly characterized by phenotype III (p=0.002), while patients with hematologic (p<0.001), renal (p<0.001), and cardiac (p<0.001) comorbidities were most commonly characterized by phenotype I. The adjusted odds of respiratory (p<0.001), renal (p<0.001), and metabolic (p<0.001) complications were highest for patients with phenotype I, followed by phenotype II. Patients with phenotype I had a far greater odds of hepatic (p<0.001) and hematological (p=0.02) complications than the other two phenotypes. Phenotypes I and II were associated with 7.30-fold (HR: 7.30, 95% CI: (3.11-17.17), p<0.001) and 2.57-fold (HR: 2.57, 95% CI: (1.10-6.00), p=0.03) increases in the hazard of death, respectively, when compared to phenotype III. CONCLUSION: In this retrospective analysis of patients with COVID-19, three clinical phenotypes were identified. Future research is urgently needed to determine the utility of these phenotypes in clinical practice and trial design.

Human mast cells present antigen to autologous CD4+ T cells.

BACKGROUND: Mast cells (MCs), the primary effector cell of the atopic response, participate in immune defense at host/environment interfaces, yet the mechanisms by which they interact with CD4+ T cells has been controversial. OBJECTIVE: We used in situ-matured primary human MCs and matched CD4+ T cells to diligently assess the ability of MCs to act as antigen-presenting cells. METHODS: We examined mature human skin-derived MCs using flow cytometry for expression of antigen-presenting molecules, for their ability to stimulate CD4+ T cells to express CD25 and proliferate when exposed to superantigen or to cytomegalovirus (CMV) antigen using matched T cells and MCs from CMV-seropositive or CMV-seronegative donors, and for antigen uptake. Subcellular localization of antigen, HLA molecules, and tryptase was analyzed by using structured illumination microscopy. RESULTS: Our data show that IFN-γ induces HLA class II, HLA-DM, CD80, and CD40 expression on MCs, whereas MCs take up soluble and particulate antigens in an IFN-γ-independent manner. IFN-γ-primed MCs guide activation of T cells by Staphylococcus aureus superantigen and, when preincubated with CMV antigens, induce a recall CD4+ TH1 proliferation response only in CMV-seropositive donors. MCs co-opt their secretory granules for antigen processing and presentation. Consequently, MC degranulation increases surface delivery of HLA class II/peptide, further enhancing stimulation of T-cell proliferation. CONCLUSIONS: IFN-γ primes human MCs to activate T cells through superantigen and to present CMV antigen to TH1 cells, co-opting MC secretory granules for antigen processing and presentation and creating a feed-forward loop of T-cell-MC cross-activation.

A simple, sensitive and safe method to determine the human α/ß-tryptase genotype.

The human tryptase locus on chromosome 16 contains one gene encoding only ß-tryptase and another encoding either ß-tryptase or the homologous α-tryptase, providing α:ß gene ratios of 0:4, 1:3 or 2:2 in the diploid genome, these genotypes being of potential clinical relevance in severe atopy. Using an EcoRV restriction site in α- but not ß-tryptase, PCR products, spanning intron 1 to exon 5, were used to determine α/ß-tryptase gene ratios using non-radioactive labels, including ethidium bromide labeling of all PCR products, and either digoxigenin-primer or DY682-primer labeling of only the final PCR cycle products. Sensitivity increased ∼60-fold with each final PCR cycle labeling technique. Ethidium bromide labeling underestimated amounts of α-tryptase, presumably because heteroduplexes of α/ß-tryptase amplimers, formed during annealing, were EcoRV resistant. In contrast, both final PCR cycle labeling techniques precisely quantified these gene ratios, because only homoduplexes were labeled. Using the DY682-primer was most efficient, because PCR/EcoRV products could be analyzed directly in the gel; while digoxigenin-labeled products required transfer to a nitrocellulose membrane followed by immunoblotting. This technique for determining the α/ß-tryptase genotype is sensitive, accurate, simple and safe, and should permit high-throughput screening to detect potential phenotype-genotype relations for α/ß-tryptases, and for other closely related alleles.

Intracellular adenosine inhibits IgE-dependent degranulation of human skin mast cells.

PURPOSE: Adenosine (ADO) can enhance and inhibit mast cell degranulation. Potentiation of degranulation occurs at relatively low concentrations of ADO (10−6­10−5 M) through triggering of A3AR, whereas, inhibition occurs at higher concentrations of ADO reportedly through triggering of A2aAR. However, the discrepancy in the concentration of ADO that inhibits degranulation and that required to trigger ADORs suggests a different mechanism. The purpose of this study is to determine the mechanism by which ADO inhibits human mast cell degranulation. METHODS: We compare the effectiveness of A2aAR specific antagonist ZM241385 and equilibrative nucleoside transporter inhibitors Dipyridamole and NBMPR in preventing ADO-mediated inhibition of FcεRI-induced degranulation of human skin mast cells (hSMCs). Western blotting is done to analyze the effect of ADO on FcεRI-induced Syk phosphorylation. RESULTS: Dipyridamole and NBMPR completely and dose-dependently prevented ADO from inhibiting FcεRI-induced degranulation in all hSMC preparations. In contrast, ZM241385 at 10−5 M was effective in only 3 of 10 hSMC preparations. Moreover, NBMPR was effective even in those hSMC preparations not responsive to ZM241385. ADO inhibited degranulation induced by FcεRI crosslinking, but not that induced by complement component 5a (C5a), Substance P or calcium ionophore. Accordingly, ADO significantly attenuated FcεRI-induced phosphorylation of Syk at the critical activating tyrosine (Y525). CONCLUSION: Blocking the influx of ADO, but not A2aAR signals, is necessary and sufficient to prevent ADO from inhibiting FcεRI-induced mast cell degranulation. Thus, ADO specifically inhibits FcεRI-induced degranulation of hSMCs primarily by an intracellular mechanism that requires its influx via equilibrative nucleoside transporter 1 (ENT1).

The involvement of FcR mechanisms in antibody-mediated rejection.

BACKGROUND: Antibody-mediated rejection is characterized by macrophage margination against vascular endothelium. The potential interactions triggered by antibodies between endothelial cells (EC) and macrophages have not been examined thoroughly in transplants. We used in vivo and in vitro models of antibody-mediated rejection. METHODS: Passive transfer of monoclonal alloantibodies (Allo-mAbs) to donor major histocompatibility complex-class I antigens was used to restore acute rejection of B10.A (H-2a) hearts to C57BL/6 (H-2b) immunoglobulin knockout (IgKO) recipients. Intragraft cytokine mRNA expression was measured by real-time polymerase chain reaction. In vitro, mouse EC were cultured in the presence of Allo-mAbs to donor major histocompatibility complex class I antigens and mononuclear cells. Levels of cytokines in culture supernatants were determined in enzyme-linked immunosorbent assay. RESULTS: Expression of MCP-1, IL-6 and IL-1alpha mRNA was higher in rejecting transplants from recipients treated with Allo-mAbs compared to non-rejecting transplants. EC sensitized with Allo-mAbs produced high levels of MCP-1 and KC. The addition of macrophages to sensitized EC stimulated high levels of IL-6 in addition to MCP-1, KC, Rantes, and TIMP-1. The levels of MCP-1 and IL-6 were significantly lower in co-cultures of EC sensitized with IgG1 Allo-mAbs in the presence of mononuclear cells from Fcgamma-Receptor III KO (FcgammaRIII-KO) graft recipients compared to co-cultures with wild-type cells. The levels of both cytokines were also lower in co-cultures of EC stimulated with F(ab')2 fragments of antibody. CONCLUSIONS: Our findings indicate that IgG1 Allo-mAbs to major histocompatibility complex class I antigens can augment graft injury by stimulating EC to produce MCP-1 and by activating mononuclear cells through their Fc receptors.

Sustained improvement in symptoms of GERD and antisecretory drug use: 4-year follow-up of the Stretta procedure.

BACKGROUND: Approximately 20% of patients with GERD do not respond to medical therapy. The Stretta radiofrequency antireflux procedure represents an alternative to failed drug therapy for GERD. OBJECTIVE: The aim of this study was to assess symptom and medication changes after the Stretta procedure during a 4-year follow-up period. DESIGN: Prospective case series on intent-to-treat basis. SETTING: Community practice. PATIENTS: Patients with GERD with persistent symptoms despite twice-daily proton pump inhibitor (PPI) medications. INTERVENTIONS: The Stretta procedure was performed in drug-refractory patients with GERD diagnosed by the presence of endoscopically evidenced esophagitis or abnormal esophageal pH testing. Symptom assessment was performed with a validated health-related quality-of-life questionnaire (with and without medication) at baseline and 6, 12, 24, 36, and 48 months after treatment. Complications of the procedure and medication usage were analyzed. MAIN OUTCOME MEASUREMENTS: Significant changes in symptom scores, GERD quality-of-life parameters, and medication usage on the basis of clinical outcomes. RESULTS: We report on a series of 109 consecutive patients treated with the Stretta procedure who have reached 4-year follow-up. Complete long-term follow-up assessment was available in matched data for 109 patients at 12 months, 108 patients at 24 months, 102 patients at 36 months, and 96 patients at 48 months. A second procedure was performed in 13 patients. Heartburn scores decreased from 3.6 to 1.18 (P < .001), total heartburn score (GERD health-related quality-of-life questionnaire) decreased from 27.8 to 7.1 (P < .001), and patient satisfaction improved from 1.4 to 3.8 (P < .001) (see ). Medication usage decreased significantly from 100% of patients on twice-daily PPI therapy at baseline to 75% of patients showing elimination of medications or only as-needed use of antacids/over-the-counter PPIs at 48 months (P < 0.005). There were no serious complications of the procedure. LIMITATIONS: This is an uncontrolled, nonrandomized case series in consecutive patients that does not include long-term pH or motility studies. CONCLUSIONS: This study in drug-refractory patients with GERD found the Stretta procedure to be a safe, effective, and durable treatment that produced significant improvements in heartburn and quality of life and decreased medication usage during a 4-year period of follow-up.