The gut microbiota is a complex ecosystem of microorganisms residing in the human gastrointestinal tract, playing a crucial role in various biological processes and overall health maintenance. Dysbiosis, an imbalance in the composition and function of the gut microbiota, is linked to systemic autoimmune diseases (SAD). Short-chain fatty acids (SCFAs), especially butyrate, produced by the gut microbiota through the fermentation of dietary fibers, play a significant role in immunomodulation and maintaining intestinal homeostasis. Butyrate is essential for colonocyte energy, anti-inflammatory responses, and maintaining intestinal barrier integrity. Studies show reduced butyrate-producing bacteria in SAD patients, suggesting that increasing butyrate levels could have therapeutic benefits. Butyrate’s anti-inflammatory effects and its potential therapeutic role have been studied in rheumatoid arthritis, Sjogren’s syndrome, systemic lupus erythematosus, systemic sclerosis, and Behçet’s disease. Despite promising in vitro and animal model results, human studies are limited, and the optimal strategies for modulating dysbiosis in SADs remain elusive. This review explores the current evidence on the immunoregulatory role of butyrate and its potential therapeutic effects in SAD.

Background: Systemic sclerosis-associated interstitial lung disease (SSc-ILD) is one of the most relevant complications of SSc and the major cause of death. The pathogenesis of SSc-ILD involves a complex interplay of multiple cell types and different molecular pathways, with both inflammation and fibrosis as pathological hallmarks. To date, there are no treatments able to target both components of the disease. Janus kinase inhibitors (JAKinibs) represent an interesting therapeutic option because they exert both anti-inflammatory and anti-fibrotic properties. Methods: Here, we performed a narrative review concerning the potential role of JAKinibs in SSc-ILD to define the state of art and to evaluate the pathogenetic rationale behind this type of treatment. Results: Currently, few studies investigated SSc-ILD response to JAKinibs treatment. Data were analyzed from three clinical studies and four case reports and progression of SSc-ILD was not evident in 93.5% of patients treated with JAKinibs. Conclusions: Available evidence of efficacy of JAKinibs in SSc-ILD is sparse but promising. JAKinibs could be an interesting treatment in SSc-ILD because of their potential inhibition of the fibrotic processes combined with their anti-inflammatory action. Moreover, JAKinibs were also shown in some studies to have a potential effect on pulmonary arterial hypertension (PAH), another threatening complication in SSc. More data are necessary to define JAKinibs role in SSc-ILD treatment.

Mesenchymal stem cell (MSC) transplantation has emerged as a potential therapeutic strategy for systemic sclerosis (SSc), a rare autoimmune disease characterized by inflammation, fibrosis, and vasculopathy. Recent evidence suggests that the therapeutic benefits of MSCs do not depend directly on their ability to proliferate but rather on their capacity to release extracellular nanovesicles known as exosomes (MSC-Exos). MSC-Exos are rich in bioactive molecules such as microRNAs, which can modulate gene expression and trigger significant biological responses, playing a central role in modulating immune responses, inhibiting fibrotic pathways and promoting tissue repair and angiogenesis. Preclinical studies have demonstrated that MSC-Exos can attenuate fibrosis, modulate macrophage polarization, suppress autoreactive lymphocyte activity, and even reverse pulmonary arterial hypertension in animal models of SSc. Compared to cell-based therapies, MSC-Exos offer several advantages, including lower immunogenicity and better safety profile. This review provides an overview of the immunomodulatory, antifibrotic, and angiogenic properties of MSC-Exos and explores their potential as novel cell-free therapy for SSc.

Background: Systemic sclerosis (SSc) is a rare connective tissue disease that can affect different organs and has extremely heterogenous presentations. This complexity makes it difficult to perform an early diagnosis and a subsequent subclassification of the disease. This hinders a personalized approach in clinical practice. In this context, machine learning (ML), a branch of artificial intelligence (AI), is able to recognize relationships in data and predict outcomes. Methods: Here, we performed a narrative review concerning the application of ML in SSc to define the state of art and evaluate its role in a precision medicine context. Results: Currently, ML has been used to stratify SSc patients and identify those at high risk of severe complications. Additionally, ML may be useful in the early detection of organ involvement. Furthermore, ML might have a role in target therapy approach and in predicting drug response. Conclusion: Available evidence about the utility of ML in SSc is sparse but promising. Future improvements in this field could result in a big step toward precision medicine. Further research is needed to define ML application in clinical practice.

Objectives: To describe the prevalence of gastrointestinal (GI) symptoms in SSc and Very Early Diagnosis of SSc (VEDOSS), identify clinical and serological features associated with GI involvement and explore a cranio-caudal pattern of symptom distribution, using data from the Italian SPRING-SIR registry. Methods: This cross-sectional analysis included patients fulfilling 2013 ACR/EULAR SSc or VEDOSS criteria. GI involvement was defined as symptoms in at least one GI tract segment and categorized as upper and lower. Associations between GI involvement and clinical variables were assessed using logistic and ordinal regression models, adjusting for demographics, disease characteristics and autoantibodies. Results: Among 1917 SSc patients, 56% had GI symptoms, associated with longer disease duration, dcSSc, interstitial lung disease (ILD), digital ulcers (DU), telangiectasias and tobacco exposure. Extensive GI involvement correlated with more severe disease. Ordinal regression identified female sex, dcSSc, ILD, DU, telangiectasias, tobacco exposure and anti-centromere antibodies as variables significantly associated with more extensive GI involvement. Disease duration did not show a significant association with GI symptom extent. Among 211 VEDOSS patients, 41.2% reported GI symptoms (mostly oesophageal), significantly associated with puffy fingers and dyspnoea. Among VEDOSS, puffy fingers and anti-centromere antibodies were independent predictors of presence of oesophageal symptoms. Conclusion: GI involvement in SSc is linked to more severe disease and longer disease duration. Disease duration resulted linked to the presence of GI symptoms rather than extent of GI involvement. Puffy fingers and anti-centromere antibodies may associate with presence of early oesophageal symptoms in VEDOSS.

(1) Background: Gut microbiota (GM) is the set of microorganisms inhabiting the gastroenteric tract that seems to have a role in the pathogenesis of rheumatic diseases. Recently, many authors proved that GM may influence pharmacodynamics and pharmacokinetics of several drugs with complex interactions that are studied by the growing field of pharmacomicrobiomics. The aim of this review is to highlight current evidence on pharmacomicrobiomics applied to the main treatments of Rheumatoid Arthritis and Spondyloarthritis in order to maximize therapeutic success, in the framework of Personalized Medicine. (2) Methods: We performed a narrative review concerning pharmacomicrobiomics in inflammatory arthritides. We evaluated the influence of gut microbiota on treatment response of conventional Disease Modifying Anti-Rheumatic drugs (cDMARDs) (Methotrexate and Leflunomide) and biological Disease Modifying Anti-Rheumatic drugs (bDMARDs) (Tumor necrosis factor inhibitors, Interleukin-17 inhibitors, Interleukin 12/23 inhibitors, Abatacept, Janus Kinase inhibitors and Rituximab). (3) Results: We found a great amount of studies concerning Methotrexate and Tumor Necrosis Inhibitors (TNFi). Conversely, fewer data were available about Interleukin-17 inhibitors (IL-17i) and Interleukin 12/23 inhibitors (IL-12/23i), while none was identified for Janus Kinase Inhibitors (JAKi), Tocilizumab, Abatacept and Rituximab. We observed that microbiota and drugs are influenced in a mutual and reciprocal way. Indeed, microbiota seems to influence therapeutic response and efficacy, whereas in the other hand, drugs may restore healthy microbiota. (4) Conclusions: Future improvement in pharmacomicrobiomics could help to detect an effective biomarker able to guide treatment choice and optimize management of inflammatory arthritides.