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  1. Lambuk F, Nordin NA, Mussa A, Lambuk L, Ahmad S, Hassan R, et al.
    Immunology, 2024 Dec;173(4):622-633.
    PMID: 39191474 DOI: 10.1111/imm.13855
    Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by inflammation of the synovium and progressive joint destruction which significantly affects both quality of life and socioeconomic status. Admittedly, various treatments are available, but they are usually accompanied by various side effects, from mild to severe, and potentially with adverse events. Tumour necrosis factor-alpha (TNF-α) plays a crucial role in the pathophysiology of RA. It promotes inflammatory, apoptosis and necroptosis via TNF receptor-1 (TNFR1) but elicit anti-inflammatory effects via TNFR2. Herein, targeting TNFR2 has gained attention in RA studies. Understanding the role of nanomedicine in modulating TNFR2 signalling may be the instrument in development of RA therapies. Nanotechnology has made a significant progress in treating various conditions of diseases since its inception. Due to this, nanomedicine has emerged as a promising therapeutics approach for RA. Recent studies have demonstrated the potential of nanomedicine in RA theranostics, combining therapy and diagnostics for improved treatment outcomes. Owing to the challenges and advancements in the field of nanotechnology, nanoparticles are seen as an applicable candidate in the treatment of RA. In this review, we provide an overview of the role of nanomedicine in targeting TNFR2 for the treatment of RA and highlight the limitations of current therapies as well as the potential of nanocarriers with controlled drug release and active targeting abilities.
  2. Venkatesan G, Wan Ab Rahman WS, Shahidan WNS, Ghazali N, Lambuk F, Edinur HA, et al.
    Infection, 2026 Oct;54(5):2779-2796.
    PMID: 42627622 DOI: 10.1007/s15010-026-02923-7
    BACKGROUND: Dengue can manifest as a mild febrile illness to life-threatening haemorrhagic fever. The early identification of patients at risk of disease progression remains challenging, particularly in non-severe cases. Therefore, this study aims to investigate the capability of extracellular vesicle plasma microRNA (miRNA) expression as a biomarker in dengue infection.

    METHODOLOGY: A total of 52 dengue patients (26 dengue with warning signs and 26 dengue without warning signs) were enrolled. Microarray analysis was utilised to profile miRNA derived from plasma extracellular vesicles to identify potential biomarkers associated with disease progression. Target genes were predicted bioinformatically to construct a miRNA-mRNA interaction network and identify key hub genes. The expression levels of miRNAs were validated through quantitative reverse-transcription polymerase chain reaction (RT-qPCR), and their diagnostic efficacy was evaluated using receiver operating characteristic (ROC) curve analysis. Additional functional enrichment analysis, gene ontology, and co-expression studies were conducted. An in vitro experiment using THP-1 cells investigated how hsa-miR-107 regulates P2RY12 expression, with further validation of P2RY12 levels through RT-qPCR using GAPDH as a reference.

    RESULTS: Microarray profiling identified 24 upregulated miRNAs in dengue patients with warning signs, notably hsa-miR-107 and hsa-miR-6879-5p, which were selected as potential biomarkers. Correlation analysis revealed that platelet count exhibited a statistically significant, moderate positive correlation with the hsa-miR-107 expression value. ROC analysis demonstrated strong diagnostic performance, linking these miRNAs to the platelet dysfunction and altered vascular permeability associated with disease severity. Furthermore, functional analysis supported the involvement of these pathways in dengue pathogenesis, and in vitro transfection confirmed that hsa-miR-107 actively decreases P2RY12 expression.

    CONCLUSION: This study highlights the expression of hsa-miR-107 and hsa-miR-6879-5p as candidate biomarkers associated with clinical warning signs in dengue infection. These findings could pave the way for improved diagnostic and monitoring strategies.

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