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Resistin family proteins in pulmonary diseases
1Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Abstract:
The family of resistin-like molecules (RELMs) consists of four members in rodents (RELMα/FIZZ1/HIMF, RELMβ/FIZZ2, Resistin/FIZZ3, and RELMγ/FIZZ4) and two members in humans (Resistin and RELMβ), all of which exhibit inflammation-regulating, chemokine, and growth factor properties. The importance of these cytokines in many aspects of physiology and pathophysiology, especially in cardiothoracic diseases, is rapidly evolving in the literature. In this review article, we attempt to summarize the contribution of RELM signaling to the initiation and progression of lung diseases, such as pulmonary hypertension, asthma/allergic airway inflammation, chronic obstructive pulmonary disease, fibrosis, cancers, infection, and other acute lung injuries. The potential of RELMs to be used as biomarkers or risk predictors of these diseases also will be discussed. Better understanding of RELM signaling in the pathogenesis of pulmonary diseases may offer novel targets or approaches for the development of therapeutics to treat or prevent a variety of inflammation, tissue remodeling, and fibrosis-related disorders in respiratory, cardiovascular, and other systems.
Insights
Resistin-like molecules (RELMs) are key cytokines involved in lung diseases like pulmonary hypertension and asthma. Understanding RELM signaling may lead to new treatments for respiratory and cardiovascular conditions.
Area of Science:
- Immunology
- Pulmonology
- Molecular Biology
Background:
- Resistin-like molecules (RELMs) are cytokines with inflammation-regulating, chemokine, and growth factor properties.
- RELMs play significant roles in both physiological and pathophysiological processes, particularly in cardiothoracic diseases.
Purpose of the Study:
- To review the role of RELM signaling in the development and progression of various lung diseases.
- To discuss the potential of RELMs as biomarkers for predicting lung disease risk and severity.
Main Methods:
- Literature review of studies on RELM signaling in lung diseases.
- Analysis of the involvement of RELMs in conditions such as pulmonary hypertension, asthma, COPD, fibrosis, cancers, and infections.
Main Results:
- RELM signaling contributes to the initiation and progression of diverse lung pathologies.
- RELMs demonstrate potential as predictive biomarkers for several respiratory and cardiovascular diseases.
Conclusions:
- A deeper understanding of RELM signaling in pulmonary diseases can identify novel therapeutic targets.
- Targeting RELM pathways may offer new strategies for treating inflammation, tissue remodeling, and fibrosis-related disorders.
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