Evidence map›Paper›PMID 37119437›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Oral Fungal Alterations in Patients with COVID-19 and Recovered Patients.

Xiaobo Hu, Haiyu Wang, Bo Yu, Jia Yu, Haifeng Lu, Junyi Sun, Ying Sun, Yawen Zou, Hong Luo, Zhaohai Zeng and 4 more

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Complexities ofDentistry journal · 2025
    Review
  6. Article
  7. Article
  8. Oral microbiota distinguishes patients with osteosarcoma from healthy controls.Frontiers in cellular and infection microbiology · 2024
    Article
  9. Oral Fungal Alterations in Patients with COVID-19 and Recovered Patients.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    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

14 authors at 5 institutions in 1 country.

Xiaobo HuDepartment of Infectious Diseases, the First Affiliated Hospital of Zhengzhou University, #1 Jianshe East Road, Zhengzhou, 450052, P. R. China.
Haiyu WangDepartment of Infectious Diseases, the First Affiliated Hospital of Zhengzhou University, #1 Jianshe East Road, Zhengzhou, 450052, P. R. China.
Bo YuHenan Key Laboratory of Ion-beam Bioengineering, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 455004, P. R. China.
Jia YuDepartment of Infectious Diseases, the First Affiliated Hospital of Zhengzhou University, #1 Jianshe East Road, Zhengzhou, 450052, P. R. China.
Haifeng LuState Key Laboratory for Diagnosis and Treatment of Infectious Disease, National Clinical Research Center for Infectious Diseases, Department of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, P. R. China.
Junyi SunDepartment of Infectious Diseases, the First Affiliated Hospital of Zhengzhou University, #1 Jianshe East Road, Zhengzhou, 450052, P. R. China.
Ying SunDepartment of Infectious Diseases, the First Affiliated Hospital of Zhengzhou University, #1 Jianshe East Road, Zhengzhou, 450052, P. R. China.
Yawen ZouDepartment of Infectious Diseases, the First Affiliated Hospital of Zhengzhou University, #1 Jianshe East Road, Zhengzhou, 450052, P. R. China.
Hong LuoDepartment of Infectious Diseases, Guangshan County People's Hospital, Guangshan County, Xinyang, Henan, 465450, P. R. China.
Zhaohai ZengDepartment of Infectious Diseases, Guangshan County People's Hospital, Guangshan County, Xinyang, Henan, 465450, P. R. China.
Shanshuo LiuDepartment of Infectious Diseases, the First Affiliated Hospital of Zhengzhou University, #1 Jianshe East Road, Zhengzhou, 450052, P. R. China.
Yan JiangDepartment of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, P. R. China.
Zhongwen WuState Key Laboratory for Diagnosis and Treatment of Infectious Disease, National Clinical Research Center for Infectious Diseases, Department of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, P. R. China.
Zhigang RenDepartment of Infectious Diseases, the First Affiliated Hospital of Zhengzhou University, #1 Jianshe East Road, Zhengzhou, 450052, P. R. China.ORCID 0000-0003-0798-3444
Jinan Stomatological Hospital · CNFirst Affiliated Hospital of Zhengzhou University · CNPeople’s Hospital of Wenshan Prefecture · CNState Key Laboratory of Diagnosis and Treatment of Infectious DiseasesZhengzhou University · CN

Funding

Funding for Scientific Research and Innovation Team of The First Affiliated Hospital of Zhengzhou University QNCXTD2023002Henan Province Epidemic Prevention and Control Emergency Scientific Research Project 221111311700;221111311600National Key Research and Development Program of China 2022YFC2303100Research Project of Jinan Microecological Biomedicine Shandong Laboratory JNL-2022001A;JNL-2022015B
6 · The paper itself

Abstract

The oral bacteriome, gut bacteriome, and gut mycobiome are associated with coronavirus disease 2019 (COVID-19). However, the oral fungal microbiota in COVID-19 remains unclear. This article aims to characterize the oral mycobiome in COVID-19 and recovered patients. Tongue coating specimens of 71 COVID-19 patients, 36 suspected cases (SCs), 22 recovered COVID-19 patients, 36 SCs who recovered, and 132 controls from Henan are collected and analyzed using internal transcribed spacer sequencing. The richness of oral fungi is increased in COVID-19 versus controls, and beta diversity analysis reveals separate fungal communities for COVID-19 and control. The ratio of Ascomycota and Basidiomycota is higher in COVID-19, and the opportunistic pathogens, including the genera Candida, Saccharomyces, and Simplicillium, are increased in COVID-19. The classifier based on two fungal biomarkers is constructed and can distinguish COVID-19 patients from controls in the training, testing, and independent cohorts. Importantly, the classifier successfully diagnoses SCs with positive specific severe acute respiratory syndrome coronavirus 2 immunoglobulin G antibodies as COVID-19 patients. The correlation between distinct fungi and bacteria in COVID-19 and control groups is depicted. These data suggest that the oral mycobiome may play a role in COVID-19.

Indexed as

COVID-19MicrobiotaMycobiomeBacteriaHumanscoronavirus disease 2019mycobiomenon-invasive biomarkersoral fungisevere acute respiratory syndrome coronavirus 2

Identifiers

PMID37119437
PMCPMC10323652
OpenAlexW4367394798

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.