The Role of Pattern Recognition Receptor (PRR) in the Body's Defense System: A Narrative Literature Review Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.37275/oaijmr.v3i2.300
Each cell has receptors on the cell surface that specifically bind to solutes (ligands) produced during tissue damage or infection. This review aimed to describe the role of PRR in the human body's defense system. The binding of the ligand to its receptor results in the activation of intracellular signaling pathways and cell activation. The B and T lymphocytes of the adaptive immune system have developed surface receptors (that is, the T-cell receptor, or TCR, and the B-cell receptor, or BCR) that bind a broad spectrum of antigens. The cells involved in innate resistance have developed a distinct set of receptors that recognize a much more limited array of specific molecules. These are called pattern recognition receptor (PRR), and they recognize the molecular patterns in infectious agents or their products (pathogen-associated molecular patterns, or PAMP) or products of cellular damage (necrosis or apoptosis; molecular pattern-associated damage, or DAMPs). In conclusion, the pattern recognition receptor (PRR) is a receptor complex that interacts with various molecules, such as PAMP and DAMPs. PRR bonds with these various molecules and play a role in various actions of innate immunity and adaptive immunity.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.37275/oaijmr.v3i2.300
- https://hmpublisher.com/index.php/OAIJMR/article/download/300/619
- OA Status
- diamond
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4381385788
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4381385788Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.37275/oaijmr.v3i2.300Digital Object Identifier
- Title
-
The Role of Pattern Recognition Receptor (PRR) in the Body's Defense System: A Narrative Literature ReviewWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-05-08Full publication date if available
- Authors
-
Ziske Maritska, Rachmat HidayatList of authors in order
- Landing page
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https://doi.org/10.37275/oaijmr.v3i2.300Publisher landing page
- PDF URL
-
https://hmpublisher.com/index.php/OAIJMR/article/download/300/619Direct link to full text PDF
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://hmpublisher.com/index.php/OAIJMR/article/download/300/619Direct OA link when available
- Concepts
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Pattern recognition receptor, Receptor, Innate immune system, Biology, Cell biology, Acquired immune system, T-cell receptor, Immune receptor, Signal transduction, Pathogen-associated molecular pattern, Intracellular, Immune system, T cell, Immunology, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
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24Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.patterns, | 132 |
| abstract_inverted_index.receptor, | 72, 78 |
| abstract_inverted_index.receptors | 3, 67, 100 |
| abstract_inverted_index.recognize | 102, 120 |
| abstract_inverted_index.signaling | 49 |
| abstract_inverted_index.activation | 46 |
| abstract_inverted_index.apoptosis; | 142 |
| abstract_inverted_index.infection. | 19 |
| abstract_inverted_index.infectious | 125 |
| abstract_inverted_index.molecules, | 163 |
| abstract_inverted_index.molecules. | 110 |
| abstract_inverted_index.resistance | 93 |
| abstract_inverted_index.activation. | 53 |
| abstract_inverted_index.conclusion, | 149 |
| abstract_inverted_index.lymphocytes | 58 |
| abstract_inverted_index.recognition | 115, 152 |
| abstract_inverted_index.specifically | 9 |
| abstract_inverted_index.intracellular | 48 |
| abstract_inverted_index.pattern-associated | 144 |
| abstract_inverted_index.(pathogen-associated | 130 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.46000000834465027 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.30709549 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |