ReviewFrontiers in immunology2026
Mechanisms and clinical research progress of IL-6-mediated crosstalk between the alveolar microenvironment and the immune system in patients with severe pneumonia undergoing mechanical ventilation.
Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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5 authors.
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Abstract
Severe pneumonia is a common critical illness encountered in clinical practice. Although mechanical ventilation is essential for life support, it can paradoxically result in ventilator-induced lung injury and exacerbate pulmonary inflammation. Interleukin-6 (IL-6) is a key pleiotropic cytokine with both proinflammatory and immunometabolic effects, playing a crucial role in regulating the alveolar microenvironment and systemic immune responses in patients with severe pneumonia. Current evidence suggests that IL-6 overexpression is closely associated with increased alveolar inflammation, immune dysregulation, and damage to lung parenchyma. Nevertheless, the dynamic changes of IL-6 during mechanical ventilation and their clinical implications have yet to be fully clarified. This review comprehensive narrative reviewexplores the biological properties of IL-6, its production and regulatory mechanisms during alveolar inflammation in severe pneumonia, the effects of mechanical ventilation on IL-6 levels, IL-6-mediated immune dysregulation and lung injury, its diagnostic and prognostic value as a biomarker, targeted therapeutic strategies against IL-6, and future research directions. By synthesizing recent basic and clinical evidence, this comprehensive narrative review seeks to establish a theoretical foundation for precision medicine and advance the development of individualized immunomodulatory strategies for this patient population.
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