Definition and research guide
This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.
Content available: 4 complete abstracts (931 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.
Definition
The top portion of the pharynx situated posterior to the nose and superior to the soft palate. The nasopharynx is the posterior extension of the nasal cavities and has a respiratory function.
Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.
Also known as: Nasopharynges; Nasopharynxes; Rhinopharynges; Rhinopharynx; Rhinopharynxes; Choanae.
Where it fits in the MeSH classification
- Broader topics
- Pharynx
- Narrower topics
- Adenoids
Related concepts
- Soft Palate
Research landscape
PubMed indexes 15,914 records tagged with the MeSH heading “Nasopharynx” (counts retrieved 2026-10-31). 3,573 of them (22.5%) were published from 2020 onward, and the busiest period so far is through 1999 with 5,889 records.
Reviews account for 843 records (5.3%) and meta-analyses for 98. Randomized controlled trials number 450 (2.8%) as a share of all records on the topic.
Show the data
| Period | Records |
|---|---|
| through 1999 | 5,889 |
| 2000-2009 | 2,587 |
| 2010-2019 | 3,865 |
| 2020 onward | 3,573 |
Publication-type chart data
| Type | Records | Share |
|---|---|---|
| Reviews | 843 | 5.3% |
| Meta-analyses | 98 | 0.6% |
| Randomized controlled trials | 450 | 2.8% |
Method: PubMed query "Nasopharynx"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-31.
Reading the evidence in anatomy and physiology
Anatomy describes how body structures are built and physiology describes how they normally work, so most findings here are descriptive or mechanistic rather than evidence about treatment. Much of what is known comes from dissection, imaging, tissue studies and experiments in animals, and measurements in healthy volunteers can differ from those in people with disease or at different ages. Normal ranges vary between individuals and populations. Check whether a result was measured in people or in another species, the age and health of the participants, and the method used.
Evidence from open-access studies
These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.
| Study / authors | Year | Source label / design | Europe PMC citations | Licence / source |
|---|---|---|---|---|
| Distinct systemic and mucosal immune responses during acute SARS-CoV-2 infection | 2021 | Research article Design not recorded in structured metadata | 137 | cc by PMID 34471264 · DOI · PMC8553615 |
| Signatures of COVID-19 Severity and Immune Response in the Respiratory Tract Microbiome | 2021 | Research article Design not recorded in structured metadata | 112 | cc by PMID 34399607 · DOI · PMC8406335 |
| An airway-to-brain sensory pathway mediates influenza-induced sickness | 2023 | Research article Design not recorded in structured metadata | 103 | cc by PMID 36890237 · DOI · PMC10033449 |
| Parallel comparison of T cell and B cell subpopulations of adenoid hypertrophy and tonsil hypertrophy of children | 2025 | Research article Design not recorded in structured metadata | 11 | cc by PMID 40229254 · DOI · PMC11997228 |
Distinct systemic and mucosal immune responses during acute SARS-CoV-2 infection [1]
Abstract reading summary — source excerpts
- Opening excerpt
- Coordinated local mucosal and systemic immune responses following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection either protect against coronavirus disease 2019 (COVID-19) pathologies or fail, leading to severe clinical outcomes.
- Closing excerpt
- Our results demonstrate distinct tissue compartmentalization of SARS-CoV-2 immune responses and highlight a role for the nasopharyngeal microbiome in regulating local and systemic immunity that determines COVID-19 clinical outcomes.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (160 words)
Coordinated local mucosal and systemic immune responses following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection either protect against coronavirus disease 2019 (COVID-19) pathologies or fail, leading to severe clinical outcomes. To understand this process, we performed an integrated analysis of SARS-CoV-2 spike-specific antibodies, cytokines, viral load and bacterial communities in paired nasopharyngeal swabs and plasma samples from a cohort of clinically distinct patients with COVID-19 during acute infection. Plasma viral load was associated with systemic inflammatory cytokines that were elevated in severe COVID-19, and also with spike-specific neutralizing antibodies. By contrast, nasopharyngeal viral load correlated with SARS-CoV-2 humoral responses but inversely with interferon responses, the latter associating with protective microbial communities. Potential pathogenic microorganisms, often implicated in secondary respiratory infections, were associated with mucosal inflammation and elevated in severe COVID-19. Our results demonstrate distinct tissue compartmentalization of SARS-CoV-2 immune responses and highlight a role for the nasopharyngeal microbiome in regulating local and systemic immunity that determines COVID-19 clinical outcomes.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 34471264 · DOI · PMC8553615
Signatures of COVID-19 Severity and Immune Response in the Respiratory Tract Microbiome [2]
Abstract reading summary — source excerpts
- Opening excerpt
- Viral infection of the respiratory tract can be associated with propagating effects on the airway microbiome, and microbiome dysbiosis may influence viral disease.
- Closing excerpt
- These findings raise questions about the mechanisms linking SARS-CoV-2 infection and other microbial inhabitants of the airway, including whether the microbiome might regulate severity of COVID-19 disease and/or whether early microbiome features might serve as biomarkers to discriminate disease severity.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (394 words)
Viral infection of the respiratory tract can be associated with propagating effects on the airway microbiome, and microbiome dysbiosis may influence viral disease. Here, we investigated the respiratory tract microbiome in coronavirus disease 2019 (COVID-19) and its relationship to disease severity, systemic immunologic features, and outcomes. We examined 507 oropharyngeal, nasopharyngeal, and endotracheal samples from 83 hospitalized COVID-19 patients as well as non-COVID patients and healthy controls. Bacterial communities were interrogated using 16S rRNA gene sequencing, and the commensal DNA viruses Anelloviridae and Redondoviridae were quantified by qPCR. We found that COVID-19 patients had upper respiratory microbiome dysbiosis and greater change over time than critically ill patients without COVID-19. Oropharyngeal microbiome diversity at the first time point correlated inversely with disease severity during hospitalization. Microbiome composition was also associated with systemic immune parameters in blood, as measured by lymphocyte/neutrophil ratios and immune profiling of peripheral blood mononuclear cells. Intubated patients showed patient-specific lung microbiome communities that were frequently highly dynamic, with prominence of Staphylococcus. Anelloviridae and Redondoviridae showed more frequent colonization and higher titers in severe disease. Machine learning analysis demonstrated that integrated features of the microbiome at early sampling points had high power to discriminate ultimate level of COVID-19 severity. Thus, the respiratory tract microbiome and commensal viruses are disturbed in COVID-19 and correlate with systemic immune parameters, and early microbiome features discriminate disease severity. Future studies should address clinical consequences of airway dysbiosis in COVID-19, its possible use as biomarkers, and the role of bacterial and viral taxa identified here in COVID-19 pathogenesis. IMPORTANCE COVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection of the respiratory tract, results in highly variable outcomes ranging from minimal illness to death, but the reasons for this are not well understood. We investigated the respiratory tract bacterial microbiome and small commensal DNA viruses in hospitalized COVID-19 patients and found that each was markedly abnormal compared to that in healthy people and differed from that in critically ill patients without COVID-19. Early airway samples tracked with the level of COVID-19 illness reached during hospitalization, and the airway microbiome also correlated with immune parameters in blood. These findings raise questions about the mechanisms linking SARS-CoV-2 infection and other microbial inhabitants of the airway, including whether the microbiome might regulate severity of COVID-19 disease and/or whether early microbiome features might serve as biomarkers to discriminate disease severity.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 34399607 · DOI · PMC8406335
An airway-to-brain sensory pathway mediates influenza-induced sickness [3]
Abstract reading summary — source excerpts
- Opening excerpt
- Pathogen infection causes a stereotyped state of sickness that involves neuronally orchestrated behavioural and physiological changes1,2.
- Closing excerpt
- Together, these findings reveal a primary airway-to-brain sensory pathway that detects locally produced prostaglandins and mediates systemic sickness responses to respiratory virus infection.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (212 words)
Pathogen infection causes a stereotyped state of sickness that involves neuronally orchestrated behavioural and physiological changes1,2. On infection, immune cells release a 'storm' of cytokines and other mediators, many of which are detected by neurons3,4; yet, the responding neural circuits and neuro-immune interaction mechanisms that evoke sickness behaviour during naturalistic infections remain unclear. Over-the-counter medications such as aspirin and ibuprofen are widely used to alleviate sickness and act by blocking prostaglandin E2 (PGE2) synthesis5. A leading model is that PGE2 crosses the blood-brain barrier and directly engages hypothalamic neurons2. Here, using genetic tools that broadly cover a peripheral sensory neuron atlas, we instead identified a small population of PGE2-detecting glossopharyngeal sensory neurons (petrosal GABRA1 neurons) that are essential for influenza-induced sickness behaviour in mice. Ablating petrosal GABRA1 neurons or targeted knockout of PGE2 receptor 3 (EP3) in these neurons eliminates influenza-induced decreases in food intake, water intake and mobility during early-stage infection and improves survival. Genetically guided anatomical mapping revealed that petrosal GABRA1 neurons project to mucosal regions of the nasopharynx with increased expression of cyclooxygenase-2 after infection, and also display a specific axonal targeting pattern in the brainstem. Together, these findings reveal a primary airway-to-brain sensory pathway that detects locally produced prostaglandins and mediates systemic sickness responses to respiratory virus infection.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 36890237 · DOI · PMC10033449
Parallel comparison of T cell and B cell subpopulations of adenoid hypertrophy and tonsil hypertrophy of children [4]
Abstract reading summary — source excerpts
- Opening excerpt
- The adenoids and tonsils are important immune organs of the nasopharynx that often become hypertrophic in childhood because of recurrent pathogen infection.
- Closing excerpt
- These findings will help our understanding of the immune response to nasopharyngeal infection.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (165 words)
The adenoids and tonsils are important immune organs of the nasopharynx that often become hypertrophic in childhood because of recurrent pathogen infection. However, the differences in the immune microenvironment of adenoid hypertrophy (AH) and tonsil hypertrophy (TH) are unclear. Here, we show the epidemiological characteristics and peripheral blood cell indices of 1209 pediatric patients (1-15 years old) diagnosed with AH, and find that AH is often accompanied by TH and characterized by specific changes in immune cell types. Single-cell RNA sequencing analysis show that 12 paired AH and TH samples contain large numbers of B, T cells and some exhausted effector memory CD4+ T cells. Compared with matched TH, AH have more naïve B cells and regulatory CD4+ T cells and less plasma B cells. Weaker antigen presentation and more significant immunosuppression are also observed in AH. In contrast, the number and cytotoxicity of cytotoxic CD8+ T cells decrease with AH grade. These findings will help our understanding of the immune response to nasopharyngeal infection.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 40229254 · DOI · PMC11997228
Key reviews and meta-analyses
The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.
- Research article NALT- versus Peyer's-patch-mediated mucosal immunity [5]
- Research article The fundamental link between pneumococcal carriage and disease [6]
- Research article Viral and bacterial interactions in the upper respiratory tract [7]
- Research article Standard method for detecting upper respiratory carriage of Streptococcus pneumoniae: updated recommendations from the World Health Organization Pneumococcal Carriage Working Group [8]
- Research article The role of nasopharyngeal lymphoid tissue [9]
- Research article Performance of Saliva, Oropharyngeal Swabs, and Nasal Swabs for SARS-CoV-2 Molecular Detection: a Systematic Review and Meta-analysis [10]
References
- Smith N, Goncalves P, Charbit B, Grzelak L, Beretta M, Planchais C, et al.. Distinct systemic and mucosal immune responses during acute SARS-CoV-2 infection. . 2021. PMID 34471264 · DOI · PMC8553615
- Merenstein C, Liang G, Whiteside SA, Cobián-Güemes AG, Merlino MS, Taylor LJ, et al.. Signatures of COVID-19 Severity and Immune Response in the Respiratory Tract Microbiome. . 2021. PMID 34399607 · DOI · PMC8406335
- Bin NR, Prescott SL, Horio N, Wang Y, Chiu IM, Liberles SD. An airway-to-brain sensory pathway mediates influenza-induced sickness. . 2023. PMID 36890237 · DOI · PMC10033449
- Yu Z, Xu Z, Fu T, Liu S, Cui J, Zhang B, et al.. Parallel comparison of T cell and B cell subpopulations of adenoid hypertrophy and tonsil hypertrophy of children. . 2025. PMID 40229254 · DOI · PMC11997228
- Kiyono H, Fukuyama S. NALT- versus Peyer's-patch-mediated mucosal immunity. Nat Rev Immunol. 2004. PMID 15343369 · DOI · PMC7097243
- Simell B, Auranen K, Käyhty H, Goldblatt D, Dagan R, O'Brien KL, et al.. The fundamental link between pneumococcal carriage and disease. Expert Rev Vaccines. 2012. PMID 22913260 · DOI
- Bosch AA, Biesbroek G, Trzcinski K, Sanders EA, Bogaert D. Viral and bacterial interactions in the upper respiratory tract. PLoS Pathog. 2013. PMID 23326226 · DOI · PMC3542149
- Satzke C, Turner P, Virolainen-Julkunen A, Adrian PV, Antonio M, Hare KM, et al.. Standard method for detecting upper respiratory carriage of Streptococcus pneumoniae: updated recommendations from the World Health Organization Pneumococcal Carriage Working Group. Vaccine. 2013. PMID 24331112 · DOI
- Kuper CF, Koornstra PJ, Hameleers DM, Biewenga J, Spit BJ, Duijvestijn AM, et al.. The role of nasopharyngeal lymphoid tissue. Immunol Today. 1992. PMID 1627250 · DOI
- Lee RA, Herigon JC, Benedetti A, Pollock NR, Denkinger CM. Performance of Saliva, Oropharyngeal Swabs, and Nasal Swabs for SARS-CoV-2 Molecular Detection: a Systematic Review and Meta-analysis. J Clin Microbiol. 2021. PMID 33504593 · DOI · PMC8091856
About this article
- Sources
- NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
- Verification
- Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
- Review state
- automated source verified; no human expert review has been recorded yet.
- Version
- 1, last updated 2026-10-31.
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Evidence strength
EvidenceHelix's computed view of the study designs behind this topic: how common meta-analyses, randomized trials and reviews are, how recent the literature is, and a plain-language reading. It describes the design mix of the literature. It is not a quality appraisal of any study, and it is not medical advice.