Evidence map›Paper›PMID 39282206›Full record

ArticleIndian journal of microbiology2024

Precision Detection of Fungal Co-Infections for Enhanced COVID-19 Treatment Strategies Using FESEM Imaging.

Kovuri Umadevi, Dola Sundeep, Eswaramoorthy K Varadharaj, Chebbiyam Chandrasekhara Sastry, Arundhathi Shankaralingappa, Rajarikam Nagarjuna Chary, Alluru Raghavendra Vighnesh

Abstract read
In one paragraph

Article in Indian journal of microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Fabrication of industrial grade F/g-CScientific reports · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kovuri UmadeviDepartment of Pathology, Government Medical College and Hospital, Khaleelwadi, Nizamabad, Telangana 503001 India.ORCID 0000-0002-3638-4822
Dola SundeepBiomedical Research Laboratory, Department of Electronics and Communication Engineering, Indian Institute of Information Technology Design and Manufacturing, Jagannathagattu Hill, Kurnool, Andhra Pradesh 518008 India.ORCID 0000-0002-3585-6664
Eswaramoorthy K VaradharajBiomedical Research Laboratory, Department of Electronics and Communication Engineering, Indian Institute of Information Technology Design and Manufacturing, Jagannathagattu Hill, Kurnool, Andhra Pradesh 518008 India.ORCID 0000-0002-3651-2505
Chebbiyam Chandrasekhara SastryBiomedical Research Laboratory, Department of Mechanical Engineering, Indian Institute of Information Technology Design and Manufacturing, Jagannathagattu Hill, Kurnool, Andhra Pradesh 518008 India.ORCID 0000-0003-3503-5951
Arundhathi ShankaralingappaDepartment of Pathology, All India Institute of Medical Sciences, Mangalagiri, Andhra Pradesh 522503 India.ORCID 0000-0002-7410-8757
Rajarikam Nagarjuna CharyDepartment of Pathology, Government Medical College and Hospital, Khaleelwadi, Nizamabad, Telangana 503001 India.ORCID 0000-0003-4297-9686
Alluru Raghavendra VighneshDepartment of Mechanical Engineering, Indian Institute of Technology (IIT-BHU), Varanasi, Uttar Pradesh 221005 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment of fungal infections presents significant challenges due to the lack of standardized diagnostic procedures, a restricted range of antifungal treatments, and the risk of harmful interactions between antifungal medications and the immunosuppressive drugs used in anti-inflammatory treatment for critically ill patients with COVID-19. Mucormycosis and aspergillosis are the primary invasive fungal infections in patients with severe COVID-19, occurring singly or in combination. Histopathological examination is a vital diagnostic technique that details the presence and invasion of fungi within tissues and blood vessels, and the body's response to the infection. However, the pathology report omits information on the most common fungi associated with the observed morphology, as well as other potential fungi and parasites that ought to be included in the differential diagnosis. This research marks significance in diagnosing fungal infections, such as mucormycosis and aspergillosis associated to COVID-19 by field emission scanning electron microscopy (FESEM) imaging to examine unstained histopathology slides, allowing for a detailed morphological analysis of the fungus. FESEM provides an unprecedented resolution and detail, surpassing traditional Hematoxylin & Eosin (H&E) and Grocott's Methenamine Silver (GMS) staining methods in identifying and differentiating dual fungal infections and diverse fungal species. The findings underscore the critical need for individualized treatment plans for patients severely affected by COVID-19 and compounded by secondary fungal infections. The high-magnification micrographs reveal specific fungal morphology and reproductive patterns. Current treatment protocols largely depend on broad-spectrum antifungal therapies. However this FESEM guided diagnostic approach can help in targeted patient specific anti fungal therapies. Such precision could lead to more effective early interventions, addressing the complex management required for severe COVID-19 cases with coexisting fungal infections. This approach significantly advances disease management and patient recovery, advocating for personalized, precision medicine in tackling this multifaceted clinical challenge. Graphical Abstract:

Indexed as

AspergellosisBroad-spectrum antifungal drugsCOVID-19FESEMMucormycosisSecondary fungal infections

Identifiers

PMID39282206
PMCPMC11399527

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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.