Evidence map›Paper›PMID 36656835›Full record

ArticlePloS one2023

Transcriptome analysis reveals increased abundance and diversity of opportunistic fungal pathogens in nasopharyngeal tract of COVID-19 patients.

M Nazmul Hoque, M Shaminur Rahman, Md Murshed Hasan Sarkar, Md Ahashan Habib, Shahina Akter, Tanjina Akhtar Banu, Barna Goswami, Iffat Jahan, M Anwar Hossain, M Salim Khan and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 21% of its field
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

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Correlation BetweenJournal of fungi (Basel, Switzerland) · 2025
    Article
  3. Article
  4. Article
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

11 authors at 2 institutions in 1 country.

M Nazmul HoqueDepartment of Gynecology, Obstetrics and Reproductive Health, Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur, Bangladesh.ORCID 0000-0002-4861-0030
M Shaminur RahmanDepartment of Microbiology, Jashore University of Science and Technology, Jashore, Bangladesh.ORCID 0000-0002-3039-9337
Md Murshed Hasan SarkarBangladesh Council of Scientific & Industrial Research (BCSIR), Dhanmondi, Dhaka, Bangladesh.
Md Ahashan HabibBangladesh Council of Scientific & Industrial Research (BCSIR), Dhanmondi, Dhaka, Bangladesh.
Shahina AkterBangladesh Council of Scientific & Industrial Research (BCSIR), Dhanmondi, Dhaka, Bangladesh.
Tanjina Akhtar BanuBangladesh Council of Scientific & Industrial Research (BCSIR), Dhanmondi, Dhaka, Bangladesh.
Barna GoswamiBangladesh Council of Scientific & Industrial Research (BCSIR), Dhanmondi, Dhaka, Bangladesh.
Iffat JahanBangladesh Council of Scientific & Industrial Research (BCSIR), Dhanmondi, Dhaka, Bangladesh.
M Anwar HossainJashore Unive rsity of Science and Technology, Jashore, Bangladesh.
M Salim KhanBangladesh Council of Scientific & Industrial Research (BCSIR), Dhanmondi, Dhaka, Bangladesh.
Tofazzal IslamInstitute of Biotechnology and Genetic Engineering (IBGE), BSMRAU, Gazipur, Bangladesh.ORCID 0000-0002-7613-0261
Bangladesh Council of Scientific and Industrial Research · BDGazipur Agricultural University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We previously reported that SARS-CoV-2 infection reduces human nasopharyngeal commensal microbiomes (bacteria, archaea and commensal respiratory viruses) with inclusion of pathobionts. This study aimed to assess the possible changes in the abundance and diversity of resident mycobiome in the nasopharyngeal tract (NT) of humans due to SARS-CoV-2 infections. Twenty-two (n = 22) nasopharyngeal swab samples (including COVID-19 = 8, Recovered = 7, and Healthy = 7) were collected for RNA-sequencing followed by taxonomic profiling of mycobiome. Our analyses indicate that SARS-CoV-2 infection significantly increased (p < 0.05, Wilcoxon test) the population and diversity of fungi in the NT with inclusion of a high proportion of opportunistic pathogens. We detected 863 fungal species including 533, 445, and 188 species in COVID-19, Recovered, and Healthy individuals, respectively that indicate a distinct mycobiome dysbiosis due to the SARS-CoV-2 infection. Remarkably, 37% of the fungal species were exclusively associated with SARS-CoV-2 infection, where S. cerevisiae (88.62%) and Phaffia rhodozyma (10.30%) were two top abundant species. Likewise, Recovered humans NT samples were predominated by Aspergillus penicillioides (36.64%), A. keveii (23.36%), A. oryzae (10.05%) and A. pseudoglaucus (4.42%). Conversely, Nannochloropsis oceanica (47.93%), Saccharomyces pastorianus (34.42%), and S. cerevisiae (2.80%) were the top abundant fungal species in Healthy controls nasal swabs. Importantly, 16% commensal fungal species found in the Healthy controls were not detected in either COVID-19 patients or when they were cured from COVID-19 (Recovered). We also detected several altered metabolic pathways correlated with the dysbiosis of fungal mycobiota in COVID-19 patients. Our results suggest that SARS-CoV-2 infection causes significant dysbiosis of mycobiome and related metabolic functions possibly play a determining role in the progression of SARS-CoV-2 pathogenesis. These findings might be helpful for developing mycobiome-based diagnostics, and also devising appropriate therapeutic regimens including antifungal drugs for prevention and control of concurrent fungal coinfections in COVID-19 patients.

Indexed as

COVID-19DysbiosisGene Expression ProfilingHumansNasopharynxSaccharomyces cerevisiaeSARS-CoV-2

Identifiers

PMID36656835
PMCPMC9851516
OpenAlexW4317476325

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.