Literature DB >> 35575834

Molecular analysis of dominant paranasal sinus bacteria in patients with and without chronic rhinosinusitis.

Zahra Chegini1,2, Aref Shariati3, Alimohamad Asghari4, Shahin Rajaeih5, Mohammad Ghorbani6, Maryam Jalessi4, Maryam Mirshekar1,2, Shabnam Razavi7,8.   

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.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Bacterial compositions; Chronic rhinosinusitis; Paranasal sinuses microbiota; Real-Time qPCR

Mesh:

Substances:

Year:  2022        PMID: 35575834     DOI: 10.1007/s00203-022-02914-w

Source DB:  PubMed          Journal:  Arch Microbiol        ISSN: 0302-8933            Impact factor:   2.552


  31 in total

1.  First fatal cerebral phaeohyphomycosis due to Rhinocladiella mackenziei in Iran, based on ITS rDNA.

Authors:  M Didehdar; A Gokanian; M Sofian; S Mohammadi; R Mohammadi; N Aslani; I Haghani; H Badali
Journal:  J Mycol Med       Date:  2015-01-27       Impact factor: 2.391

Review 2.  A systematic review of the sinonasal microbiome in chronic rhinosinusitis.

Authors:  Martin Anderson; Janalee Stokken; Thomas Sanford; Rajeev Aurora; Raj Sindwani
Journal:  Am J Rhinol Allergy       Date:  2016-05       Impact factor: 2.467

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Authors:  Daniel C Beachler; Eric A Engels
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2017-01-01       Impact factor: 6.223

4.  Incremental health care utilization and expenditures for chronic rhinosinusitis in the United States.

Authors:  Neil Bhattacharyya
Journal:  Ann Otol Rhinol Laryngol       Date:  2011-07       Impact factor: 1.547

5.  Molecular characterization and antifungal susceptibility profile of dermatophytes isolated from scalp dermatophyte carriage in primary school children in Arak city, Center of Iran.

Authors:  M Allahdadi; R Hajihossein; M Kord; E Rahmati; S Amanloo; M Didehdar
Journal:  J Mycol Med       Date:  2019-01-16       Impact factor: 2.391

6.  The microbiome of chronic rhinosinusitis: culture, molecular diagnostics and biofilm detection.

Authors:  Sam Boase; Andrew Foreman; Edward Cleland; Lorwai Tan; Rachel Melton-Kreft; Harshita Pant; Fen Z Hu; Garth D Ehrlich; Peter-John Wormald
Journal:  BMC Infect Dis       Date:  2013-05-08       Impact factor: 3.090

7.  Compositionally and functionally distinct sinus microbiota in chronic rhinosinusitis patients have immunological and clinically divergent consequences.

Authors:  Emily K Cope; Andrew N Goldberg; Steven D Pletcher; Susan V Lynch
Journal:  Microbiome       Date:  2017-05-12       Impact factor: 14.650

8.  The nasal microbiota in health and disease: variation within and between subjects.

Authors:  Kristi Biswas; Michael Hoggard; Ravi Jain; Michael W Taylor; Richard G Douglas
Journal:  Front Microbiol       Date:  2015-03-02       Impact factor: 5.640

9.  Comparison of Subtyping Approaches and the Underlying Drivers of Microbial Signatures for Chronic Rhinosinusitis.

Authors:  Kristi Biswas; Raewyn Cavubati; Shan Gunaratna; Michael Hoggard; Sharon Waldvogel-Thurlow; Jiwon Hong; Kevin Chang; Brett Wagner Mackenzie; Michael W Taylor; Richard G Douglas
Journal:  mSphere       Date:  2019-02-06       Impact factor: 4.389

10.  Corynebacterium accolens Releases Antipneumococcal Free Fatty Acids from Human Nostril and Skin Surface Triacylglycerols.

Authors:  Lindsey Bomar; Silvio D Brugger; Brian H Yost; Sean S Davies; Katherine P Lemon
Journal:  mBio       Date:  2016-01-05       Impact factor: 7.867

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