Evidence map›Paper›PMID 37351182›Full record

SynthesisFrontiers in cellular and infection microbiology2023

Potential interaction between the oral microbiota and COVID-19: a meta-analysis and bioinformatics prediction.

Li Tan, Meng-Mei Zhong, Qiong Liu, Yun Chen, Ya-Qiong Zhao, Jie Zhao, Marie Aimee Dusenge, Yao Feng, Qin Ye, Jing Hu and 4 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Microbiome and Long COVID-19: Current Evidence and Insights.International journal of molecular sciences · 2025
    Review
  5. Article
  6. Review
  7. Article
  8. Inhibition of SARS-CoV-2 infection byMicrobiology spectrum · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
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 1 institution in 1 country.

Li TanDepartment of Stomatology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Meng-Mei ZhongDepartment of Stomatology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Qiong LiuDepartment of Stomatology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yun ChenDepartment of Stomatology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Ya-Qiong ZhaoDepartment of Stomatology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Jie ZhaoDepartment of Stomatology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Marie Aimee DusengeDepartment of Stomatology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yao FengDepartment of Stomatology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Qin YeDepartment of Stomatology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Jing HuDepartment of Stomatology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Ze-Yue Ou-YangDepartment of Stomatology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Ying-Hui ZhouNational Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory of Metabolic Bone Diseases, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Yue GuoDepartment of Stomatology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yun-Zhi FengDepartment of Stomatology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The purpose of this study was to evaluate available evidence on the association between the human oral microbiota and coronavirus disease 2019 (COVID-19) and summarize relevant data obtained during the pandemic. Methods: We searched EMBASE, PubMed, and the Cochrane Library for human studies published up to October 2022. The main outcomes of the study were the differences in the diversity (α and β) and composition of the oral microbiota at the phylum and genus levels between patients with laboratory-confirmed SARS-CoV-2 infection (CPs) and healthy controls (HCs). We used the Human Protein Atlas (HPA), Gene Expression Profiling Interactive Analysis (GEPIA) database, Protein-protein interaction (PPI) network (STRING) and Gene enrichment analysis (Metascape) to evaluate the expression of dipeptidyl peptidase 4 (DPP4) (which is the cell receptor of SARS CoV-2) in oral tissues and evaluate its correlation with viral genes or changes in the oral microbiota. Results: Out of 706 studies, a meta-analysis of 9 studies revealed a significantly lower alpha diversity (Shannon index) in CPs than in HCs (standardized mean difference (SMD): -0.53, 95% confidence intervals (95% CI): -0.97 to -0.09). Subgroup meta-analysis revealed a significantly lower alpha diversity (Shannon index) in older than younger individuals (SMD: -0.54, 95% CI: -0.86 to -0.23/SMD: -0.52, 95% CI: -1.18 to 0.14). At the genus level, the most significant changes were in Streptococcus and Neisseria, which had abundances that were significantly higher and lower in CPs than in HCs based on data obtained from six out of eleven and five out of eleven studies, respectively. DPP4 mRNA expression in the oral salivary gland was significantly lower in elderly individuals than in young individuals. Spearman correlation analysis showed that DPP4 expression was negatively correlated with the expression of viral genes. Gene enrichment analysis showed that DPP4-associated proteins were mainly enriched in biological processes, such as regulation of receptor-mediated endocytosis of viruses by host cells and bacterial invasion of epithelial cells. Conclusion: The oral microbial composition in COVID-19 patients was significantly different from that in healthy individuals, especially among elderly individuals. DPP4 may be related to viral infection and dysbiosis of the oral microbiome in elderly individuals.

Indexed as

COVID-19MicrobiotaAgedComputational BiologyDipeptidyl Peptidase 4HumansSARS-CoV-2Dipeptidyl Peptidase 4bioinformatics predictionCOVID-19meta-analysisoral microbiotaSARS-CoV-2

Identifiers

PMID37351182
PMCPMC10282655
OpenAlexW4379799636

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.