Systemic sclerosis (scleroderma): remaining challenges

Perimenopause in women with rheumatologic diseases: a spotlight on an under-addressed transition

Abundant research has been published describing the effects invoked during menopause across different organ systems. Changing levels of estrogen and progesterone result in bidirectional alterations of immune cell pathways. Overall, the net trend dampens immunoregulation and promotes inflammation. In paradigmatic rheumatologic diseases, the combined effect is far from predictable. While some features may abate during menopause, studies have shown a general increased frequency toward disease exacerbation. Similarly, while impossible to isolate the ramifications of menopause in women with fibromyalgia, a tendency toward enhanced symptoms is unquestionably apparent. Furthermore, the comorbidities accrued by increasing age and the consequences of long-term medication use may also confound this picture. Periodic rheumatologic visits are warranted, with clinical assessments directed toward a multi-disciplinary approach. Ultimately, while an arsenal of effective tools is available for caring for these women and their underlying conditions, more studies are needed to better clarify how the different stages surrounding perimenopause affect subpopulations with rheumatic diseases and fibromyalgia-related disorders so that clinical course can be predicted and addressed prior to the emergence of symptomatology.

Enhancement of Zyxin Promotes Skin Fibrosis by Regulating FAK/PI3K/AKT and TGF-β Signaling Pathways via Integrins

Skin fibrosis is a common pathological manifestation in systemic sclerosis (SSc), keloid, and localized scleroderma (LS) characterized by fibroblast activation and excessive extracellular matrix (ECM) deposition. However, few effective drugs are available to treat skin fibrosis due to its unclear mechanisms. In our study, we reanalyzed skin RNA-sequencing data of Caucasian, African, and Hispanic SSc patients from the Gene Expression Omnibus (GEO) database. We found that the focal adhesion pathway was up-regulated and Zyxin appeared to be the primary focal adhesion protein involved in skin fibrosis, and we further verified its expression in Chinese skin tissues of several fibrotic diseases, including SSc, keloid, and LS. Moreover, we found Zyxin inhibition could significantly alleviate skin fibrosis using Zyxin knock-down and knock-out mice, nude mouse model and skin explants of human keloid. Double immunofluorescence staining showed that Zyxin was highly expressed in fibroblasts. Further analysis revealed pro-fibrotic gene expression and collagen production increased in Zyxin over-expressed fibroblasts, and decreased in Zyxin interfered SSc fibroblasts. In addition, transcriptome and cell culture analyses revealed Zyxin inhibition could effectively attenuate skin fibrosis by regulating the FAK/PI3K/AKT and TGF-β signaling pathways via integrins. These results suggest Zyxin appears a potential new therapeutic target for skin fibrosis.

Long-Term Efficacy and Low Adverse Events of Methylprednisolone Pulses Combined to Low-Dose Glucocorticoids for Systemic Sclerosis: A Retrospective Clinical Study of 10 Years’ Follow-Up

Background

Patients with systemic sclerosis (SSc) have poor prognosis without cure methods. We began, 10 years ago, to relieve active SSc using short-term intravenous high-dose methylprednisolone pulse (MP-Pulse) and then maintain remission using long-term and low-dose oral glucocorticoids (LTLD-GC).

Methods

Total 46 of SSc patients with interstitial lung disease (ILD) and induration of skin during January 2006 to December 2019 were analyzed retrospectively, who were followed up for 10 years or more. The patients were treated with MP-Pulse (15 mg/kg/day, 4 days/week, for 2 weeks) with (n=21) or without (n=25) LTLD-GC (prednisone 5–10 mg/day or methylprednisolone 4–8 mg/day). The biographic and clinical data, including occurrence of infection or any adverse reactions, were collected at baseline, 6 months, 1 year, and annually through 10 years after treatment.

Results

From baseline to 10 years, compared with MP-Pulse alone, MP-Pulse/LTLD-GC significantly reduced skin and lung fibrosis and improved lung function: Rodnan skin score (mRSS: 22.1±12.4 to 8.16±2.5, P<0.001), forced vital capacity (FVC: 71.7% to 89.83%, P<0.001), forced expiratory volume in the first second (FEV1: 75.7% to 87.88%, P<0.001), diffusing capacity of the lung for carbon monoxide (DLCO: 63.4% to 87.73%, P<0.001), and high-resolution chest computerized tomography scan (HRCT score: 3.96±2.81 to 1.42±0.83, P<0.001). None of the 46 patients had femoral head necrosis, compression fracture, death, or life-threatening adverse events.

Conclusion

These outcomes indicate that intravenous MP-Pulse combined with oral LTLD-GC could achieve significant remission and better long-term (10 years) efficacy without severe adverse effects in SSc patients with ILD and induration of skin.

The Use and Utility of Machine Learning in Achieving Precision Medicine in Systemic Sclerosis: A Narrative Review

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.

The PPARα and PPARγ Epigenetic Landscape in Cancer and Immune and Metabolic Disorders

Peroxisome proliferator-activated receptors (PPARs) are ligand-modulated nuclear receptors that play pivotal roles in nutrient sensing, metabolism, and lipid-related processes. Correct control of their target genes requires tight regulation of the expression of different PPAR isoforms in each tissue, and the dysregulation of PPAR-dependent transcriptional programs is linked to disorders, such as metabolic and immune diseases or cancer. Several PPAR regulators and PPAR-regulated factors are epigenetic effectors, including non-coding RNAs, epigenetic enzymes, histone modifiers, and DNA methyltransferases. In this review, we examine advances in PPARα and PPARγ-related epigenetic regulation in metabolic disorders, including obesity and diabetes, immune disorders, such as sclerosis and lupus, and a variety of cancers, providing new insights into the possible therapeutic exploitation of PPAR epigenetic modulation.