Evidence map›Paper›PMID 36018334›Full record

ArticleAnalytical and bioanalytical chemistry2022

Analysis of volatile organic compounds from deep airway in the lung through intubation sampling.

Wei Xu, Jin Zhang, Houwen Ding, Yueting Ding, Xue Zou, Min Yang, Qiang Zhou, Zhou Liu, Ling Zheng, Heping Zuo and 5 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 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. 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

15 authors at 4 institutions in 1 country.

Wei XuAnhui 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, China.
Jin ZhangThe Second Hospital of Anhui Medical University, Hefei, 230601, China.
Houwen DingThe Second Hospital of Anhui Medical University, Hefei, 230601, China.
Yueting DingThe Second Hospital of Anhui Medical University, Hefei, 230601, China.
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, China. xzou@cmpt.ac.cn.
Min YangThe Second Hospital of Anhui Medical University, Hefei, 230601, China. yangmin@ahmu.edu.cn.
Qiang ZhouThe Second Hospital of Anhui Medical University, Hefei, 230601, China.
Zhou LiuThe Second Hospital of Anhui Medical University, Hefei, 230601, China.
Ling ZhengThe Second Hospital of Anhui Medical University, Hefei, 230601, China.
Heping ZuoThe Second Hospital of Anhui Medical University, Hefei, 230601, China.
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, China.
Qiangling ZhangAnhui 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, 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, 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, China. chyshen@aiofm.ac.cn.
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, China.
Hefei Institutes of Physical Science · CNAnhui Medical University · CNSecond Hospital of Anhui Medical University · CNChinese Academy of Sciences · CN

Funding

Anhui Provincial Key R&D Program 202104d07020003HFIPS Director's Fund BJPY2021B08HFIPS Director's Fund YZJJ2022QN45HFIPS Director's Fund YZJJZX202009Joint Fund between the Second Affiliated Hospital of Anhui Medical University and the Center of Medical Physics and Technology of Hefei Institute of Physical Sciences of Chinese Academy of Sciences LHJJ2020006National Natural Science Foundation of China 21705152National Natural Science Foundation of China 21876176National Natural Science Foundation of China 22076190National Natural Science Foundation of China 62171433Youth Innovation Promotion Association, CAS, China 2019432
6 · The paper itself

Abstract

Exhaled volatile organic compounds (VOCs) have been widely applied for the study of disease biomarkers. Oral exhalation and nasal exhalation are two of the most common sampling methods. However, VOCs released from food residues and bacteria in the mouth or upper respiratory tract were also sampled and usually mistaken as that produced from body metabolism. In this study, exhalation from deep airway was first directly collected through intubation sampling and analyzed. The exhalation samples of 35 subjects were collected through a catheter, which was inserted into the trachea or bronchus through the mouth and upper respiratory tract. Then, the VOCs in these samples were detected by proton transfer reaction mass spectrometry (PTR-MS). In addition, fast gas chromatography proton transfer reaction mass spectrometry (FGC-PTR-MS) was used to further determine the VOCs with the same mass-to-charge ratios. The results showed that there was methanol, acetonitrile, ethanol, methyl mercaptan, acetone, isoprene, and phenol in the deep airway. Compared with that in oral exhalation, ethanol, methyl mercaptan, and phenol had lower concentrations. In detail, the median concentrations of ethanol, methyl mercaptan, and phenol were 7.3, 0.6, and 23.9 ppbv, while those in the oral exhalation were 80.0, 5.1, and 71.3 ppbv, respectively, which meant the three VOCs mainly originated from the food residues and bacteria in the mouth or upper respiratory tract, rather than body metabolism. The research results in our study can provide references for expiratory VOC research based on oral and nasal exhalation samplings, which are more feasible in clinical practice.

Indexed as

Volatile Organic CompoundsAcetoneAcetonitrilesBiomarkersBreath TestsEthanolExhalationHumansIntubation, IntratrachealLungMethanolPhenolsProtonsSulfhydryl CompoundsAcetoneAcetonitrilesBiomarkersEthanolMethanolPhenolsProtonsSulfhydryl CompoundsVolatile Organic CompoundsDeep airwayExhaled breathIntubationPTR-MSVOCs

Identifiers

PMID36018334
OpenAlexW4293199632

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.