ArticleArchives of microbiology2022
Molecular analysis of dominant paranasal sinus bacteria in patients with and without chronic rhinosinusitis.
Article in Archives of microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- The Role of the Gut and Airway Microbiota in Chronic Rhinosinusitis with Nasal Polyps: A Systematic Review.International journal of molecular sciences · 2024Pooled it
- The effectiveness of hydrogel matrix containing nitric oxide, silver nanoparticles, vancomycin, and ciprofloxacin on methicillin-resistant Staphylococcus aureus and Pseudomonas aeruginosa biofilm isolated from patients with chronic rhinosinusitis.European journal of medical research · 2025Article
- Biodiversity of the Bacterial and Fungal Microbiome and Associated Inflammatory Cytokine Profile in Chronic Rhinosinusitis.International forum of allergy & rhinology · 2025Article
- Reduced Glycolysis and Cytotoxicity inInternational journal of molecular sciences · 2024Article
- The destruction of mucosal barriers, epithelial remodeling, and impaired mucociliary clearance: possible pathogenic mechanisms of Pseudomonas aeruginosa and Staphylococcus aureus in chronic rhinosinusitis.Cell communication and signaling : CCS · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent studies have established the possible role of microbiota in developing various diseases. In this regard, attention has shifted to the evaluation of microbiota changes in the paranasal sinuses and its relationship to chronic rhinosinusitis (CRS), especially CRS with nasal polyposis (CRSwNP). This study aimed to examine the bacterial communities of the sphenoidal sinus in Iranian patients with and without CRS. The investigation included 36 subjects, including 18 patients with CRSwNP who underwent Functional Endoscopic Sinus Surgery (FESS) and 18 non-CRS patients who underwent Endoscopic Endonasal Approach (EEA) for pituitary adenoma. The surgeries were performed under general anesthesia, and the sphenoidal sinus was sampled using sterile rayon-tipped swabs coated with a sheet. TaqMan quantitative real-time polymerase chain reaction (qPCR) method (the 16S rDNA gene from bacteria) was used for detection of bacterial communities in different samples. Staphylococcus haemolyticus and Pseudomonas aeruginosa were significantly more prevalent in CRS patients than non-CRS patients (P value ≤ 0.05). However, no significant difference in the frequency of Corynebacterium spp. and Staphylococcus aureus was observed between the two groups, and no Streptococcus pneumoniae or Haemophilus influenza species were isolated from any of the samples. The current study's findings indicated a significant difference in the frequency of certain bacterial species in patients with CRS vs. non-CRS patients. By establishing a link between microbial burden and CRS, it is possible to develop effective treatments or even prevent disorders in this body area.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.