Evidence map›Paper›PMID 32363856›Full record

ArticleChemical research in toxicology2020

Free Radical and Nicotine Yields in Mainstream Smoke of Chinese Marketed Cigarettes: Variation with Smoking Regimens and Cigarette Brands.

Xiaoning Lei, Reema Goel, Dongxiao Sun, Gurkirat Bhangu, Zachary T Bitzer, Neil Trushin, Lin Ma, John P Richie, Guangli Xiu, Joshua E Muscat

Open access · greenAbstract read
In one paragraph

Article in Chemical research in toxicology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

10 authors at 2 institutions in 2 countries.

Xiaoning LeiState Environmental Protection Key Laboratory of Risk Assessment and Control on Chemical processes, East China University of Science and Technology (ECUST), Shanghai 200237, China.ORCID 0000-0003-0636-8677
Reema GoelDepartment of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania 17033, United States.ORCID 0000-0003-4244-4315
Dongxiao SunDepartment of Pharmacology, Pennsylvania State University, Hershey, Pennsylvania 17033, United States.
Gurkirat BhanguDepartment of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania 17033, United States.
Zachary T BitzerDepartment of Food Science, College of Agricultural Sciences, Pennsylvania State University, University Park, Pennsylvania 16802, United States.
Neil TrushinDepartment of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania 17033, United States.
Lin MaState Environmental Protection Key Laboratory of Risk Assessment and Control on Chemical processes, East China University of Science and Technology (ECUST), Shanghai 200237, China.
John P RichieDepartment of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania 17033, United States.ORCID 0000-0001-8239-2850
Guangli XiuState Environmental Protection Key Laboratory of Risk Assessment and Control on Chemical processes, East China University of Science and Technology (ECUST), Shanghai 200237, China.
Joshua E MuscatDepartment of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania 17033, United States.
Pennsylvania State University · USEast China University of Science and Technology · CN

Funding

Research Training and Educational Component (Component I) p370-385P50DA036107 · NIDA · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI FOULDS, JONATHAN, MUSCAT, JOSHUA E · 2013 to 2018
$19.5M
NIDA NIH HHS P50 DA036107
6 · The paper itself

Abstract

Free radicals and nicotine are components of cigarette smoke that are thought to contribute to the development of smoking-induced diseases. China has the largest number of smokers in the world, yet little is known about the yields of tobacco smoke constituents in different Chinese brands of cigarettes. In this study, gas-phase and particulate-phase free radicals as well as nicotine yields were quantified in mainstream cigarette smoke from five popular Chinese brands and two research cigarettes (3R4F and 1R6F). Mainstream smoke was generated under International Organization of Standardization (ISO) and Canadian Intense (CI) smoking regimens using a linear smoking machine. Levels of free radicals and nicotine were measured by electron paramagnetic resonance spectroscopy (EPR) and gas chromatography with flame-ionization detection, respectively. Under the ISO puffing regimen, Chinese brand cigarettes produced an average of 3.0 ± 1.2 nmol/cig gas-phase radicals, 118 ± 44.7 pmol/cig particulate-phase radicals, and 0.6 ± 0.2 mg/cig nicotine. Under the CI puffing regimen, Chinese brand cigarettes produced an average of 5.6 ± 1.2 nmol/cig gas-phase radicals, 282 ± 92.1 pmol/cig particulate-phase radicals, and 2.1 ± 0.4 mg/cig nicotine. Overall, both gas- and particulate-phase free radicals were substantially lower compared to the research cigarettes under both regimens, whereas no significant differences were observed for nicotine levels. When Chinese brands were compared, the highest free radical and nicotine yields were found in "LL" and "BS" brands, while lowest levels were found in "YY". These results suggested that the lower radical delivery by Chinese cigarettes compared to United States reference cigarettes may be associated with reductions in oxidant-related harm.

Indexed as

ChinaFree RadicalsNicotineSmokeTobacco ProductsTobacco SmokingFree RadicalsNicotineSmoke

Identifiers

PMID32363856
PMCPMC10037311
OpenAlexW3021013082

What OpenQuestion holds

Textmetadata
LicenceTDM
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.