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Published on: November 17, 2023
Autocrine, Paracrine, and Endocrine Signals That Can Alter Alveolar Macrophages Function
1Department of Clinical Pharmacology, School of Pharmacy, China Medical University, Shenyang, Liaoning, People's Republic of China.
Abstract:
Alveolar macrophages (AMs) are extremely versatile cells with complex functions involved in health or diseases such as pneumonia, asthma, and pulmonary alveolar proteinosis. In recent years, it has been widely identified that the different functions and states of macrophages are the results from the complex interplay between microenvironmental signals and macrophage lineage. Diverse and complicated signals to which AMs respond are mentioned when they are described individually or in a particular state of AMs. In this review, the microenvironmental signals are divided into autocrine, paracrine, and endocrine signals based on their secreting characteristics. This new perspective on classification provides a more comprehensive and systematic introduction to the complex signals around AMs and is helpful for understanding the roles of AMs affected by physiological environment. The existing possible treatments of AMs are also mentioned in it. The thorough understanding of AMs signals modulation may be contributed to the development of more effective therapies for AMs-related lung diseases.
Insights
Alveolar macrophages (AMs) are crucial immune cells in lung health and disease. This review classifies microenvironmental signals (autocrine, paracrine, endocrine) influencing AMs, aiding in developing targeted therapies for lung conditions.
Area of Science:
- Immunology
- Cell Biology
- Pulmonology
Background:
- Alveolar macrophages (AMs) are versatile immune cells with critical roles in lung health and diseases like pneumonia and asthma.
- AM functions and states are dictated by intricate interactions between microenvironmental cues and macrophage lineage.
Approach:
- This review systematically categorizes AM microenvironmental signals into autocrine, paracrine, and endocrine.
- It provides a comprehensive overview of the complex signaling networks surrounding AMs.
- The review also touches upon current therapeutic strategies targeting AMs.
Key Points:
- Classifying signals as autocrine, paracrine, or endocrine offers a structured understanding of AM regulation.
- This classification highlights the intricate interplay between AMs and their physiological environment.
- Understanding AM signaling is key to addressing lung diseases like pneumonia and asthma.
Conclusions:
- Understanding AM signal modulation is key to developing effective therapies for AM-related lung diseases.
- The proposed signal classification provides a systematic approach to studying AMs.
- Targeting AM signaling pathways holds promise for future lung disease treatments.
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