Home About us Editorial board Search Ahead of print Current issue Archives Submit article Instructions Subscribe Contacts Login 
  Users Online: 341 Home Print this page Email this page Small font sizeDefault font sizeIncrease font size  
Year : 2020  |  Volume : 10  |  Issue : 2  |  Page : 86-90

Molecular detection of aspergillus in sputum of patients with lower respiratory tract infections

1 Department of Microbiology, Santosh Medical College, Ghaziabad, Uttar Pradesh, India
2 Department of Microbiology, UCMS, GTBH, New Delhi, India
3 Department of TB and Chest, Santosh Medical College, Ghaziabad, Uttar Pradesh, India

Correspondence Address:
Dakshina Bisht
Department of Microbiology, Santosh Medical College, Ghaziabad, Uttar Pradesh
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/ijabmr.IJABMR_364_18

Rights and Permissions

Background: Raised incidences of respiratory tract infections due to fungal agents in immunocompetent individuals are a cause of concern due to the unavailability of rapid diagnostic methods. Materials and Methods: Sputum and serum samples were collected from patients having lower respiratory tract infections (LRTIs), serum samples were screened for the presence of anti Aspergillus antibodies and sputum samples were homogenized and processed for identification of Aspergillus by conventional methods and further subjected to polymerase chain reaction (PCR) using genus-specific ITS 4-5 primers. Results: PCR identified Aspergillu s in 28% sputum samples, which was high as compared to conventional methods. Conclusion: Simple conventional PCR technique proves to be useful screening in for early identification of Aspergillus colonization in patients with LRTI, which can prevent irreversible damage in their lungs by fungal invasion.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded268    
    Comments [Add]    

Recommend this journal