Evidence map›Paper›PMID 36690957›Full record

ArticleBMC infectious diseases2023

Understanding metabolic alterations after SARS-CoV-2 infection: insights from the patients' oral microenvironmental metabolites.

Shengli Ma, Lijun Yang, Hui Li, Xinghe Chen, Xiaoyu Lin, Wenyu Ge, Yindong Wang, Liping Sun, Guiping Zhao, Bing Wang and 8 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 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
–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

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.

  1. Host metabolic responses to SARS-CoV-2 and influenza viruses: parallels and contrasts.Metabolomics : Official journal of the Metabolomic Society · 2026
    Review
  2. Article
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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

18 authors.

Shengli Ma *Heilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China. msl6377@aliyun.com.
Lijun Yang *School of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
Hui Li *Heilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China.
Xinghe ChenSchool of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
Xiaoyu LinSchool of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
Wenyu GeHeilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China.
Yindong WangHeilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China.
Liping SunSchool of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
Guiping ZhaoSchool of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
Bing WangSchool of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
Zheng WangHeilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China.
Meng WuHeilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China.
Xin LuCAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
Muhammad Luqman AkhtarSchool of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
Depeng YangSchool of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
Yan BaiSchool of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
Yu LiSchool of Life Science and Technology, Harbin Institute of Technology, Harbin, China. liyugene@hit.edu.cn.
Huan NieSchool of Life Science and Technology, Harbin Institute of Technology, Harbin, China. nh1212@hit.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 is a type of acute infectious pneumonia and frequently confused with influenza since the initial symptoms. When the virus colonized the patient's mouth, it will cause changes of the oral microenvironment. However, few studies on the alterations of metabolism of the oral microenvironment affected by SARS-CoV-2 infection have been reported. In this study, we explored metabolic alterations of oral microenvironment after SARS-CoV-2 infection.

methodsUntargeted metabolomics (UPLC-MS) was used to investigate the metabolic changes between oral secretion samples of 25 COVID-19 and 30 control participants. To obtain the specific metabolic changes of COVID-19, we selected 25 influenza patients to exclude the metabolic changes caused by the stress response of the immune system to the virus. Multivariate analysis (PCA and PLS-DA plots) and univariate analysis (students' t-test) were used to compare the differences between COVID-19 patients and the controls. Online hiplot tool was used to perform heatmap analysis. Metabolic pathway analysis was conducted by using the MetaboAnalyst 5.0 web application.

resultsPLS-DA plots showed significant separation of COVID-19 patients and the controls. A total of 45 differential metabolites between COVID-19 and control group were identified. Among them, 35 metabolites were defined as SARS-CoV-2 specific differential metabolites. Especially, the levels of cis-5,8,11,14,17-eicosapentaenoic acid and hexanoic acid changed dramatically based on the FC values. Pathway enrichment found the most significant pathways were tyrosine-related metabolism. Further, we found 10 differential metabolites caused by the virus indicating the body's metabolism changes after viral stimulation. Moreover, adenine and adenosine were defined as influenza virus-specific differential metabolites.

conclusionsThis study revealed that 35 metabolites and tyrosine-related metabolism pathways were significantly changed after SARS-CoV-2 infection. The metabolic alterations of oral microenvironment in COVID-19 provided new insights into its molecular mechanisms for research and prognostic treatment.

Indexed as

COVID-19Influenza, HumanChromatography, LiquidHumansSARS-CoV-2Tandem Mass SpectrometryTyrosineTyrosineCOVID-19InfluenzaMetabolic pathwaysMetabolomicsOral microenvironment

Identifiers

PMID36690957
PMCPMC9869582

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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.