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Psoriasis is a chronic inflammatory condition characterized by systemic immune dysregulation. Over the past several years, advances in genetics, microbiology, immunology, and mouse models have revealed the complex interplay between the heritable and microenvironmental factors that drive the development of psoriatic inflammation. In the first of this two-part review series, the authors will discuss the newest insights into the pathogenesis of psoriatic disease and highlight how the evolution of these scientific fields has paved the way for a more personalized approach to psoriatic disease treatment.

Immunomodulatory drugs can inhibit bacterial growth, yet their mechanism of action, spectrum, and clinical relevance remain unknown. Methotrexate (MTX), a first-line rheumatoid arthritis (RA) treatment, inhibits mammalian dihydrofolate reductase (DHFR), but whether it directly impacts gut bacteria is unclear. We show that MTX broadly alters the human gut microbiota. Drug sensitivity varied across strains, but the mechanism of action against DHFR appears conserved between mammalian and bacterial cells. RA patient microbiotas were sensitive to MTX, and changes in gut bacterial taxa and gene family abundance were distinct between responders and non-responders. Transplantation of post-treatment samples into germ-free mice given an inflammatory trigger led to reduced immune activation relative to pre-treatment controls, enabling identification of MTX-modulated bacterial taxa associated with intestinal and splenic immune cells. Thus, conservation in cellular pathways across domains of life can result in broad off-target drug effects on the human gut microbiota with consequences for immune function.

We engineered a machine learning approach, MSHub, to enable auto-deconvolution of gas chromatography-mass spectrometry (GC-MS) data. We then designed workflows to enable the community to store, process, share, annotate, compare and perform molecular networking of GC-MS data within the Global Natural Product Social (GNPS) Molecular Networking analysis platform. MSHub/GNPS performs auto-deconvolution of compound fragmentation patterns via unsupervised non-negative matrix factorization and quantifies the reproducibility of fragmentation patterns across samples.

ObjectiveTo characterize the ecological effects of biologic therapies on the gut bacterial and fungal microbiome in psoriatic arthritis (PsA)/spondyloarthritis (SpA) patients.MethodsFecal samples from PsA/SpA patients pre- and posttreatment with tumor necrosis factor inhibitors (TNFi; n = 15) or an anti-interleukin-17A monoclonal antibody inhibitor (IL-17i; n = 14) underwent sequencing (16S ribosomal RNA, internal transcribed spacer and shotgun metagenomics) and computational microbiome analysis. Fecal levels of fatty acid metabolites and cytokines/proteins implicated in PsA/SpA pathogenesis or intestinal inflammation were correlated with sequence data. Additionally, ileal biopsies obtained from SpA patients who developed clinically overt Crohn's disease (CD) after treatment with IL-17i (n = 5) were analyzed for expression of IL-23/Th17-related cytokines, IL-25/IL-17E-producing cells, and type 2 innate lymphoid cells (ILC2s).ResultsThere were significant shifts in abundance of specific taxa after treatment with IL-17i compared to TNFi, particularly Clostridiales (P = 0.016) and Candida albicans (P = 0.041). These subclinical alterations correlated with changes in bacterial community co-occurrence, metabolic pathways, IL-23/Th17-related cytokines, and various fatty acids. Ileal biopsies showed that clinically overt CD was associated with expansion of IL-25/IL-17E-producing tuft cells and ILC2s (P < 0.05), compared to pre-IL-17i treatment levels.ConclusionIn a subgroup of SpA patients, the initiation of IL-17A blockade correlated with features of subclinical gut inflammation and intestinal dysbiosis of certain bacterial and fungal taxa, most notably C albicans. Further, IL-17i-related CD was associated with overexpression of IL-25/IL-17E-producing tuft cells and ILC2s. These results may help to explain the potential link between inhibition of a specific IL-17 pathway and the (sub)clinical gut inflammation observed in SpA.

Kallikrein-related peptidase 6 (KLK6) is a secreted serine protease hypothesized to promote inflammation via cleavage of protease-activated receptor 1 (PAR1) and PAR2. KLK6 levels are elevated in multiple inflammatory and autoimmune conditions, but no definitive role in pathogenesis has been established. Here, we show that skin-targeted overexpression of KLK6 causes generalized, severe psoriasiform dermatitis with spontaneous development of debilitating psoriatic arthritis-like joint disease. The psoriatic skin and joint phenotypes are reversed by normalization of skin KLK6 levels and attenuated following genetic elimination of PAR1 but not PAR2. Conservation of this regulatory pathway was confirmed in human psoriasis using vorapaxar, an FDA-approved PAR1 antagonist, on explanted lesional skin from patients with psoriasis. Beyond defining a critical role for KLK6/PAR1 signaling in promoting psoriasis, our results demonstrate that KLK6/PAR1-mediated inflammation in the skin alone is sufficient to drive inflammatory joint disease. Further, we identify PAR1 as a promising cytokine-independent target in therapy of psoriasis and psoriatic arthritis., Introduction Psoriasis is a chronic, incurable systemic inflammatory disease with complex and incompletely understood pathogenesis. Two percent to 3% of the population worldwide suffers from psoriasis, and affected individuals show [...]

Objectives 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-CCP seroconversion in all participants was low at 4.9%. Autoantibody levels were typically of low titre, 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. [ABSTRACT FROM AUTHOR]

Objective: To evaluate seroreactivity and disease flares after COVID‐19 vaccination in a multiethnic/multiracial cohort of patients with systemic lupus erythematosus (SLE). Methods: Ninety SLE patients and 20 healthy controls receiving a complete COVID‐19 vaccine regimen were included. IgG seroreactivity to the SARS–CoV‐2 spike receptor‐binding domain (RBD) and SARS–CoV‐2 microneutralization were used to evaluate B cell responses; interferon‐γ (IFNγ) production was measured by enzyme‐linked immunospot (ELISpot) assay in order to assess T cell responses. Disease activity was measured by the hybrid SLE Disease Activity Index (SLEDAI), and flares were identified according to the Safety of Estrogens in Lupus Erythematosus National Assessment–SLEDAI flare index. Results: Overall, fully vaccinated SLE patients produced significantly lower IgG antibodies against SARS–CoV‐2 spike RBD compared to fully vaccinated controls. Twenty‐six SLE patients (28.8%) generated an IgG response below that of the lowest control (<100 units/ml). In logistic regression analyses, the use of any immunosuppressant or prednisone and a normal anti–double‐stranded DNA antibody level prior to vaccination were associated with decreased vaccine responses. IgG seroreactivity to the SARS–CoV‐2 spike RBD strongly correlated with the SARS–CoV‐2 microneutralization titers and correlated with antigen‐specific IFNγ production determined by ELISpot. In a subset of patients with poor antibody responses, IFNγ production was similarly diminished. Pre‐ and postvaccination SLEDAI scores were similar in both groups. Postvaccination flares occurred in 11.4% of patients; 1.3% of these were severe. Conclusion: In a multiethnic/multiracial study of SLE patients, 29% had a low response to the COVID‐19 vaccine which was associated with receiving immunosuppressive therapy. Reassuringly, severe disease flares were rare. While minimal protective levels remain unknown, these data suggest that protocol development is needed to assess the efficacy of booster vaccination. [ABSTRACT FROM AUTHOR]

Objectives Physical function is a core outcome in PsA. We examined the construct validity and responsiveness of three commonly used instruments to assess physical function in PsA: HAQ disability index (HAQ-DI), MultiDimensional HAQ (MDHAQ) and the Patient-Reported Outcomes Measurement Information System (PROMIS®) Global-10. Methods Between 2016 and 2019, patients with PsA were enrolled in the Psoriatic Arthritis Research Consortium longitudinal cohort study in the USA. Correlations were calculated at baseline and among change scores using Spearman's correlation coefficient. Standardized response means were calculated. Agreement with the 20% improvement cut-off was used to determine the potential effect of using MDHAQ or the PROMIS Global-10 physical health (GPH) subscore in place of HAQ-DI when assessing the ACR20. Results A total of 274 patients were included in the analysis. The mean age of patients was 49 years and 51% were male. At baseline, the mean HAQ-DI was 0.6 (s. d. 0.6; range 0–3), the mean MDHAQ was 1.8 (s. d. 1.6; range 0–10) and the mean GPH T-score was 43.4 (s. d. 9.3; range 0–100). All three instruments were strongly correlated at baseline (rho 0.75–0.85). Change scores were moderately correlated (rho 0.42–0.71). Among therapy initiators, the mean change between two visits in HAQ-DI, MDHAQ and GPH was −0.1 (s. d. 0.4), −0.2 (s. d. 1.2) and 2.5 (s. d. 6.1), respectively. The standardized response means were 0.18, 0.16 and 0.41, respectively. Conclusion The three instruments tested are not directly interchangeable but have overall similar levels of responsiveness. [ABSTRACT FROM AUTHOR]

Objective: To characterize the hospitalization and death rates among patients with inflammatory arthritis (IA) affected by coronavirus disease 2019 (COVID‐19) and to analyze the associations of comorbidities and immunomodulatory medications with infection outcomes. Methods: Data on clinical and demographic features, maintenance treatment, disease course, and outcomes in individuals with IA (rheumatoid arthritis and spondyloarthritis) with symptomatic COVID‐19 infection were prospectively assessed via web‐based questionnaire followed by individual phone calls and electronic medical record review. Baseline characteristics and medication use were summarized for hospitalized and ambulatory patients, and outcomes with the different medication classes were compared using multivariable logistic regression. Results: A total of 103 patients with IA were included in the study (80 with confirmed COVID‐19 and 23 with high suspicion of COVID‐19). Hospitalization was required in 26% of the participants, and 4% died. Patients who were hospitalized were significantly more likely to be older (P < 0.001) and have comorbid hypertension (P = 0.001) and chronic obstructive pulmonary disease (P = 0.02). IA patients taking oral glucocorticoids had an increased likelihood of being admitted for COVID‐19 (P < 0.001), while those receiving maintenance anticytokine biologic therapies did not. Conclusion: Among patients with underlying IA, COVID‐19 outcomes were worse in those receiving glucocorticoids but not in patients receiving maintenance anticytokine therapy. Further work is needed to understand whether immunomodulatory therapies affect COVID‐19 incidence. [ABSTRACT FROM AUTHOR]

Objective: To characterize patients with systemic lupus erythematosus (SLE) affected by coronavirus disease 2019 (COVID‐19) and to analyze associations of comorbidities and medications on infection outcomes. Methods: Patients with SLE and reverse transcriptase–polymerase chain reaction–confirmed COVID‐19 were identified through an established New York University lupus cohort, query of 2 hospital systems, and referrals from rheumatologists. Data were prospectively collected via a web‐based questionnaire and review of medical records. Data on baseline characteristics were obtained for all patients with COVID‐19 to analyze risk factors for hospitalization. Data were also collected on asymptomatic patients and those with COVID‐19–like symptoms who tested negative or were not tested. Statistical analyses were limited to confirmed COVID‐19–positive patients. Results: A total of 226 SLE patients were included: 41 with confirmed COVID‐19, 19 who tested negative for COVID‐19, 42 with COVID‐19–like symptoms who did not get tested, and 124 who remained asymptomatic without testing. Of the SLE patients with confirmed COVID‐19, hospitalization was required in 24 (59%) and intensive care unit–level of care in 4, and 4 died. Hospitalized patients tended to be older, nonwhite, Hispanic, have higher body mas index (BMI), history of nephritis, and at least 1 comorbidity. An exploratory (due to limited sample size) logistic regression analysis identified race, presence of at least 1 comorbidity, and BMI as independent predictors of hospitalization. Conclusion: In general, the variables predictive of hospitalization in our SLE patients were similar to those identified in the general population. Further studies are needed to understand additional risk factors for poor COVID‐19 outcomes in patients with SLE. [ABSTRACT FROM AUTHOR]