Relationship of systemic type I interferon activity with clinical phenotypes, disease activity, and damage accrual in systemic lupus erythematosus in treatment-naive patients: a retrospective longitudinal analysis

Navigating the landscape of SLE treatment: An expert viewpoint on the rationality and limitations of early biologic intervention

The approval of biologics, namely belimumab and anifrolumab, is being a game-changer in the approach to systemic lupus erythematosus (SLE). Currently we are indeed facing a revolution in the treatment paradigm of SLE, encompassing early combination of biologics with standard treatment in severe manifestations. In this regard, a lively discussion is taking place regarding the better positioning of biologics in the treatment of not necessarily severe, yet refractory and/or disfiguring manifestations which expose patients to worsened quality of life, reduced workability and enhanced risk of organ damage especially related to the misuse of glucocorticoids in the long run. Growing evidence supports the early use of targeted treatments in those patients, including the use of biologics before traditional immunosuppression, to achieve control of disease activity while minimizing treatment-related damage, privileging the timely use of therapeutics selectively impacting on key disease mechanisms in spite of a widespread immunosuppression. Patient profiling on a clinical and endotypical basis is helping in identifying better candidates to targeted drugs. More inflammatory organ involvement including persistent arthritis and infiltrating skin lesions seem likely to respond to anifrolumab, while B-mediated manifestations, a lively serology and a relapsing-remitting SLE course hint at a suitable role for belimumab. This seems at least partially connected to the inner effect of either drug, dampening inflammation through down-regulation of interferon signalling in the case of anifrolumab, while plastically modulating the B cell pool composition and function when coming to belimumab. Nevertheless, the mechanisms of both drugs are immunologically entangled at some extent, thereby requiring careful management especially in patients with longer disease history burdened with mixed manifestations. In this viewpoint we go over pros and cons of anticipatory biologic use in SLE, exploring features linked with better efficacy of either drug and the pathogenic and practical rationale for their positioning before traditional immunosuppression in moderate refractory SLE to be optimally managed in the 21st Century.

Efficacy of anifrolumab in long-term intractable alopecia due to discoid lupus erythematosus

Alopecia associated with lupus erythematosus is broadly classified into reversible nonscarring alopecia seen in the acute phase, such as worsening of systemic lupus erythematosus (SLE) and cicatricial alopecia seen in chronic cutaneous lupus erythematosus represented by discoid lupus erythematosus (DLE). In DLE-induced alopecia, early therapeutic intervention before developing scarring alopecia is important, but the condition is often resistant to conventional treatment. Anifrolumab (ANI), a novel therapeutic agent for SLE that inhibits Type I interferon activity, has been shown to be effective against acute skin lesions, including alopecia, in patients with SLE. However, there are very few reports on the effect of ANI on alopecia due to DLE. We report on a 27-year-old Japanese woman with SLE whose alopecia due to chronic DLE was refractory to topical therapy and systemic therapy with oral glucocorticoid, multiple immunosuppressants, and belimumab for ∼8 years after onset and whose alopecia improved with ANI. ANI can be considered to be an effective treatment option in lupus patients presenting with alopecia due to DLE, even in the chronic refractory stage.

Molecular characterisation of lupus low disease activity state (LLDAS) and DORIS remission by whole-blood transcriptome-based pathways in a pan-European systemic lupus erythematosus cohort

OBJECTIVES

To unveil biological milieus underlying low disease activity (LDA) and remission versus active systemic lupus erythematosus (SLE).

METHODS

We determined differentially expressed pathways (DEPs) in SLE patients from the PRECISESADS project (NTC02890121) stratified into patients fulfilling and not fulfilling the criteria of (1) Lupus LDA State (LLDAS), (2) Definitions of Remission in SLE remission, and (3) LLDAS exclusive of remission.

RESULTS

We analysed data from 321 patients; 40.8% were in LLDAS, and 17.4% in DORIS remission. After exclusion of patients in remission, 28.3% were in LLDAS. Overall, 604 pathways differed significantly in LLDAS versus non-LLDAS patients with an false-discovery rate-corrected p (q)<0.05 and a robust effect size (dr)≥0.36. Accordingly, 288 pathways differed significantly between DORIS remitters and non-remitters (q<0.05 and dr≥0.36). DEPs yielded distinct molecular clusters characterised by differential serological, musculoskeletal, and renal activity. Analysis of partially overlapping samples showed no DEPs between LLDAS and DORIS remission. Drug repurposing potentiality for treating SLE was unveiled, as were important pathways underlying active SLE whose modulation could aid attainment of LLDAS/remission, including toll-like receptor (TLR) cascades, Bruton tyrosine kinase (BTK) activity, the cytotoxic T lymphocyte antigen 4 (CTLA-4)-related inhibitory signalling, and the nucleotide-binding oligomerization domain leucine-rich repeat-containing protein 3 (NLRP3) inflammasome pathway.

CONCLUSIONS

We demonstrated for the first time molecular signalling pathways distinguishing LLDAS/remission from active SLE. LLDAS/remission was associated with reversal of biological processes related to SLE pathogenesis and specific clinical manifestations. DEP clustering by remission better grouped patients compared with LLDAS, substantiating remission as the ultimate treatment goal in SLE; however, the lack of substantial pathway differentiation between the two states justifies LLDAS as an acceptable goal from a biological perspective.

LATS2 degradation promoted fibrosis damage and rescued by vitamin K3 in lupus nephritis

BACKGROUND

Lupus nephritis (LN) is the most common complication of systemic lupus erythematosus (SLE). The limited treatment options for LN increase the economic burdens on patients. Because fibrotic progression leads to irreversible renal damage in LN patients and further progresses to chronic kidney disease (CKD) and the end stage of renal disease (ESRD), developing new targets to prevent LN fibrotic progression could lead to a feasible treatment strategy for LN patients.

METHODS

In this study, we examined YAP activation and LATS2 downregulation in LN kidney biopsy samples (LN: n = 8, normal: n = 2) and lupus-prone MRL/lpr mice (n = 8 for each disease stage). The function of LATS2 was further investigated by in situ injection of Ad-LATS2 into mice with LN (n = 6 mice per group). We examined the role of SIAH2-LATS2 regulation by IP-MS and co-IP, and the protective effect of the SIAH2 inhibitor was investigated in mice with LN.

RESULTS

Restoring LATS2 by an adenovirus in vivo alleviated renal fibrotic damage in mice with LN. Moreover, we found that LATS2 was degraded by a K48 ubiquitination-proteasome pathway mediated by SIAH2 and promoted YAP activation to worsen fibrosis progression in LN. The H150 region of the substrate binding domain (SBD) is an important site for SIAH2-LATS2 binding. The SIAH2-specific inhibitor vitamin K3 protected against LN-associated fibrotic damage in vivo.

CONCLUSION

In summary, we identified the SIAH2-LATS2 axis as an attractive intervention target in LN to alter the resistance to fibrosis.

Neuropsychiatric Systemic Lupus Erythematosus: Molecules Involved in Its Imunopathogenesis, Clinical Features, and Treatment

Systemic lupus erythematosus (SLE) is an idiopathic chronic autoimmune disease that can affect any organ in the body, including the neurological system. Multiple factors, such as environmental (infections), genetic (many HLA alleles including DR2 and DR3, and genes including C4), and immunological influences on self-antigens, such as nuclear antigens, lead to the formation of multiple autoantibodies that cause deleterious damage to bodily tissues and organs. The production of autoantibodies, such as anti-dsDNA, anti-SS(A), anti-SS(B), anti-Smith, and anti-neuronal DNA are characteristic features of this disease. This autoimmune disease results from a failure of the mechanisms responsible for maintaining self-tolerance in T cells, B cells, or both. Immune complexes, circulating antibodies, cytokines, and autoreactive T lymphocytes are responsible for tissue injury in this autoimmune disease. The diagnosis of SLE is a rheumatological challenge despite the availability of clinical criteria. NPSLE was previously referred to as lupus cerebritis or lupus sclerosis. However, these terms are no longer recommended because there is no definitive pathological cause for the neuropsychiatric manifestations of SLE. Currently, the treatment options are primarily based on symptomatic presentations. These include the use of antipsychotics, antidepressants, and anxiolytic medications for the treatment of psychiatric and mood disorders. Antiepileptic drugs to treat seizures, and immunosuppressants (e.g., corticosteroids, azathioprine, and mycophenolate mofetil), are directed against inflammatory responses along with non-pharmacological interventions.

An interpretable machine learning pipeline based on transcriptomics predicts phenotypes of lupus patients

Machine learning (ML) has the potential to identify subsets of patients with distinct phenotypes from gene expression data. However, phenotype prediction using ML has often relied on identifying important genes without a systems biology context. To address this, we created an interpretable ML approach based on blood transcriptomics to predict phenotype in systemic lupus erythematosus (SLE), a heterogeneous autoimmune disease. We employed a sequential grouped feature importance algorithm to assess the performance of gene sets, including immune and metabolic pathways and cell types, known to be abnormal in SLE in predicting disease activity and organ involvement. Gene sets related to interferon, tumor necrosis factor, the mitoribosome, and T cell activation were the best predictors of phenotype with excellent performance. These results suggest potential relationships between the molecular pathways identified in each model and manifestations of SLE. This ML approach to phenotype prediction can be applied to other diseases and tissues.