Diabetic foot ulcer (DFU) is a severe complication of diabetes, often leading to amputation due to poor wound healing and infection. The immune-related pathogenesis of DFU remains unclear, and therapeutic drugs are limited. This study aimed to explore the immune mechanisms of DFU and identify potential therapeutic drugs using machine learning and single-cell approaches. Through differential expression analysis of Gene Expression Omnibus (GEO) datasets, we identified 287 differentially expressed genes (DEGs), which were significantly enriched in IL-17 signaling and neutrophil chemotaxis pathways. Weighted gene co-expression network analysis (WGCNA) further pinpointed disease-associated modules containing 1,693 regulatory genes. Machine learning algorithms prioritized seven core genes-CCL20, CXCL13, FGFR2, FGFR3, PI3, PLA2G2A, and S100A8-with validation in an external dataset GSE147890 and single-cell sequencing revealing their predominant expression in neutrophils and keratinocytes. Immune infiltration analysis demonstrated significant dysregulation in DFU patients, characterized by elevated proportions of memory B cells, M0 macrophages, activated mast cells, and neutrophils. Potential therapeutic compounds were identified using the Connectivity Map database and tested through molecular docking and dynamics simulations. The study pinpointed selegiline, L-BSO, flunisolide, PP-30, and fluocinolone as promising therapeutic agents, offering new insights into the pathogenesis of diabetic foot ulcers (DFU) and potential therapeutic strategies.

Background/Objectives: Paediatric Obstructive Sleep Apnoea (OSA) is characterised by recurrent episodes of upper airway obstruction during sleep, manifesting as snoring, intermittent oxygen desaturation, and frequent nocturnal awakenings. Standard treatments include surgical interventions, pharmacological therapies, intranasal corticosteroids, and oral montelukast. However, significant variability exists across studies regarding dosage and outcome assessment. This literature review systematically evaluated clinical evidence regarding the efficacy and safety of intranasal corticosteroids and oral montelukast for treating sleep-disordered breathing and its primary underlying condition, adenoid hypertrophy, in otherwise healthy children. Methods: The MEDLINE (PubMed), Scopus, and Web of Science databases were systematically searched up to 13 February 2025, using tailored search terms combining keywords and synonyms related to paediatric OSA, adenoidal hypertrophy, corticosteroids, montelukast, and randomised controlled trials. Owing to variability in outcome measures, Fisher's method for p-value combination was employed to enable a comprehensive comparison of drug effects. Results: Available evidence shows that intranasal corticosteroids (mometasone, beclometasone, budesonide, fluticasone, and flunisolide), either as monotherapy or in combination with other agents, consistently lead to clinical and instrumental improvements in adenoid hypertrophy and related respiratory symptoms, with a generally favourable safety profile. Combining montelukast with intranasal corticosteroids appears to offer superior benefits compared with monotherapy. Nevertheless, the reviewed studies varied widely in dosage, treatment duration, design, and sample size. The reported side effects are mostly mild; however, long-term studies are lacking to establish the complete safety of these treatments in children. Conclusions: Intranasal corticosteroids and oral montelukast effectively and safely manage adenoid hypertrophy and mild-to-moderate OSA symptoms in children. Nonetheless, the heterogeneity of study designs necessitates larger prospective trials with standardised protocols and more extended follow-up periods to draw more robust conclusions. Future studies should aim to stratify treatment outcomes based on OSA severity and duration to tailor therapeutic approaches better.

The current pharmaceutical management of myasthenia gravis (MG) is widely accepted to be pyridostigmine and prednisone, both known to cause adverse effects and incur significant costs. This treatment may be particularly burdensome for patients primarily complaining of localized ocular MG, and little is known about the management of MG ptosis with topical medications. Oxymetazoline hydrochloride 0.1% ophthalmic solution has recently been approved by the FDA for the treatment of ptosis, but there have been limited studies in MG ptosis and no report to date of symptomatic improvement with the intranasal formulation. This case report discusses a 71-year-old female whose newly diagnosed MG ptosis resolved after three days of intranasal oxymetazoline hydrochloride 0.05%, followed by three days of intranasal flunisolide. Our patient's rapid resolution of symptoms, along with the favorable side effect profile and over-the-counter availability, highlights the promising indication for the use of intranasal oxymetazoline and flunisolide as potential alternatives or adjuncts in MG management. Further research in larger cohorts is necessary to confirm the efficacy of these nasal sprays in treating MG ptosis.

Although not measured, the amounts of inhaled corticosteroids absorbed into the maternal bloodstream and excreted into breastmilk are probably too small to affect a breastfed infant. Reviewers and an expert panel consider inhaled and oral corticosteroids acceptable to use during breastfeeding.[1][2][3]

Bronchopulmonary dysplasia (BPD) is often seen as a pulmonary complication of extreme preterm birth, resulting in persistent respiratory symptoms and diminished lung function. Unfortunately, current diagnostic and treatment options for this condition are insufficient. Hence, this study aimed to identify potential biomarkers in the peripheral blood of neonates affected by BPD. The Gene Expression Omnibus provided the expression dataset GSE32472 for BPD. Initially, using this database, we identified differentially expressed genes (DEGs) in GSE32472. Subsequently, we conducted gene set enrichment analysis on the DEGs and employed weighted gene co-expression network analysis (WGCNA) to screen the most relevant modules for BPD. We then mapped the DEGs to the WGCNA module genes, resulting in a gene intersection. We conducted detailed functional enrichment analyses on these overlapping genes. To identify hub genes, we used 3 machine learning algorithms, including SVM-RFE, LASSO, and Random Forest. We constructed a diagnostic nomogram model for predicting BPD based on the hub genes. Additionally, we carried out transcription factor analysis to predict the regulatory mechanisms and identify drugs associated with these biomarkers. We used differential analysis to obtain 470 DEGs and conducted WGCNA analysis to identify 1351 significant genes. The intersection of these 2 approaches yielded 273 common genes. Using machine learning algorithms, we identified CYYR1, GALNT14, and OLAH as potential biomarkers for BPD. Moreover, we predicted flunisolide, budesonide, and beclomethasone as potential anti-BPD drugs. The genes CYYR1, GALNT14, and OLAH have the potential to serve as diagnostic biomarkers for BPD. This may prove beneficial in clinical diagnosis and prevention of BPD.

Multiple sclerosis (MS) is an autoimmune disease of the central nervous system still lacking a cure. Treatment typically focuses on slowing the progression and managing MS symptoms. Single-cell transcriptomics allows the investigation of the immune system-the key player in MS onset and development-in great detail increasing our understanding of MS mechanisms and stimulating the discovery of the targets for potential therapies. Still, de novo drug development takes decades; however, this can be reduced by drug repositioning. A promising approach is to select potential drugs based on activated or inhibited genes and pathways. In this study, we explored the public single-cell RNA data from an experiment with six patients on single-cell RNA peripheral blood mononuclear cells (PBMC) and cerebrospinal fluid cells (CSF) of patients with MS and idiopathic intracranial hypertension. We demonstrate that AIM2 inflammasome, SMAD2/3 signaling, and complement activation pathways are activated in MS in different CSF and PBMC immune cells. Using genes from top-activated pathways, we detected several promising small molecules to reverse MS immune cells' transcriptomic signatures, including AG14361, FGIN-1-27, CA-074, ARP 101, Flunisolide, and JAK3 Inhibitor VI. Among these molecules, we also detected an FDA-approved MS drug Mitoxantrone, supporting the reliability of our approach.

In this work, Class 2 and Class 3 solvents contained in two corticosteroids, flunisolide (Fluni) and fluticasone propionate (Fluti), were reduced to a few ppm by supercritical CO2 extraction. The process was carried out at pressures from 80 to 200 bar, temperatures of 40 °C and 80 °C, and at a fixed CO2 flow rate of 0.7 kg/h. The results demonstrated that CO2 density is the key parameter influencing the extraction kinetics and the solvent final residue. In particular, in the range investigated, optimal pressure and temperature conditions for the extraction of residual organic solvents were found working at 200 bar and 40 °C, which corresponds to a CO2 density of 0.840 g/cm3. Operating in this way, total organic solvent residues were reduced from 13,671 ppm and 326 ppm to 12 ppm and 10 ppm for Fluni and Fluti, respectively.