Evidence map›Paper›PMID 34982180›Full record

ArticleAnalytical and bioanalytical chemistry2022

Distinguish oral-source VOCs and control their potential impact on breath biomarkers.

Dianlong Ge, Jijuan Zhou, Yajing Chu, Yan Lu, Xue Zou, Lei Xia, Yawei Liu, Chaoqun Huang, Chengyin Shen, Liwei Zhang and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
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  4. Systematic comparison of methods for offline breath sampling.Analytical and bioanalytical chemistry · 2025
    Article
  5. Review
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  7. 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

12 authors at 3 institutions in 1 country.

Dianlong GeAnhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, Anhui, China.
Jijuan ZhouAnhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, Anhui, China.
Yajing ChuAnhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, Anhui, China.
Yan LuAnhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, Anhui, China. ylu@cmpt.ac.cn.
Xue ZouAnhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, Anhui, China.
Lei XiaAnhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, Anhui, China.
Yawei LiuAnhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, Anhui, China.
Chaoqun HuangAnhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, Anhui, China.
Chengyin ShenAnhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, Anhui, China.
Liwei ZhangHefei Cancer Hospital, Chinese Academy of Sciences, Hefei, 230031, Anhui, China.
Huanzhong WangHefei Cancer Hospital, Chinese Academy of Sciences, Hefei, 230031, Anhui, China.
Yannan ChuAnhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, Anhui, China. ychu@aiofm.ac.cn.
Hefei Institutes of Physical Science · CNChinese Academy of Sciences · CNUniversity of Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By means of glass bottle sampling followed by solid-phase microextraction gas chromatography-mass spectrometry (SPME-GC-MS) technique, the change characteristics of volatile organic compounds (VOCs) in breaths, between before gargling and after gargling, were investigated, respectively, in 41 healthy subjects and 50 esophageal cancer patients. Using an untargeted strategy, 143 VOC chromatographic peaks were enrolled in the statistical analysis. Based on the orthogonal partial least squares discriminant analysis (OPLS-DA), the VOC variations after gargling for each breath test group were obtained according to the combined criteria of variable importance in projection (VIP > 1.5), Wilcoxon signed-rank test (P < 0.05), and fold change (FC > 2.0). When gargled, the levels of indole, phenol, 1-propanol, and p-cresol in the breath of healthy people decreased; meanwhile, for esophageal cancer patients, the declined VOCs in breath were indole, phenol, dimethyl disulfide, and p-cresol. Particularly, these substances were previously reported as breath biomarkers in some diseases such as esophageal, gastric, thyroid, breast, oral, and lung cancers, as well as certain non-cancer disorders. The present work indicates that expiratory VOCs involve the prominent oral cavity source, and in the breath biomarkers study, the potential impact that originates from oral volatiles should be considered. In view of the present results, it is also proposed that gargle pretreatment could eliminate possible interference from the oral cavity VOCs that might benefit breath biomarker investigation. Gargle pretreatment helps to distinguish oral-source VOCs and control their potential impact on breath biomarkers.

Indexed as

Volatile Organic CompoundsBiomarkersBreath TestsGas Chromatography-Mass SpectrometryHumansSolid Phase MicroextractionBiomarkersVolatile Organic CompoundsBreath biomarkerGarglingGC-MSOral cavityUntargeted analysisVOCs

Identifiers

PMID34982180
OpenAlexW4206635699

What OpenQuestion holds

Textmetadata
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.