Evidence map›Paper›PMID 34803738›Full record

ArticleFrontiers in physiology2021

Differential Effects of 'Vaping' on Lipid and Glucose Profiles and Liver Metabolic Markers in Obese Versus Non-obese Mice.

Hui Chen, Gerard Li, Yik Lung Chan, Hui Emma Zhang, Mark D Gorrell, Carol A Pollock, Sonia Saad, Brian G Oliver

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2021. 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
1.2field-weighted citation impact, top 21% 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, 14 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Hui ChenSchool of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia.
Gerard LiSchool of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia.
Yik Lung ChanSchool of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia.
Hui Emma ZhangCentenary Institute, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Mark D GorrellCentenary Institute, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Carol A PollockRenal Research Laboratory, Kolling Institute of Medical Research, The University of Sydney, Sydney, NSW, Australia.
Sonia SaadRenal Research Laboratory, Kolling Institute of Medical Research, The University of Sydney, Sydney, NSW, Australia.
Brian G OliverSchool of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia.
University of Sydney · AUUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tobacco smoking increases the risk of metabolic disorders due to the combination of harmful chemicals, whereas pure nicotine can improve glucose tolerance. E-cigarette vapour contains nicotine and some of the harmful chemicals found in cigarette smoke at lower levels. To investigate how e-vapour affects metabolic profiles, male Balb/c mice were exposed to a high-fat diet (HFD, 43% fat, 20kJ/g) for 16weeks, and e-vapour in the last 6weeks. HFD alone doubled fat mass and caused dyslipidaemia and glucose intolerance. E-vapour reduced fat mass in HFD-fed mice; only nicotine-containing e-vapour improved glucose tolerance. In chow-fed mice, e-vapour increased lipid content in both blood and liver. Changes in liver metabolic markers may be adaptive responses rather than causal. Future studies can investigate how e-vapour differentially affects metabolic profiles with different diets.

Indexed as

abdominal obesityfree fatty acidglucose tolerancelivertriglycerides

Identifiers

PMID34803738
PMCPMC8599937
OpenAlexW3210788414

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.