Evidence map›Paper›PMID 31794002›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2020

The Association Between Smoking and Gut Microbiome in Bangladesh.

Rachel Nolan-Kenney, Fen Wu, Jiyuan Hu, Liying Yang, Dervla Kelly, Huilin Li, Farzana Jasmine, Muhammad G Kibriya, Faruque Parvez, Ishrat Shaheen and 7 more

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

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  18. Human Microbiome Mixture Analysis Using Weighted Quantile Sum Regression.International journal of environmental research and public health · 2022
    Article
  19. Sex-Dependent Effects of Inhaled Nicotine on the Gut Microbiome.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Article
  20. 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

17 authors.

Rachel Nolan-KenneyDepartment of Population Health, New York University School of Medicine, New York, NY.
Fen WuDepartment of Population Health, New York University School of Medicine, New York, NY.
Jiyuan HuDepartment of Population Health, New York University School of Medicine, New York, NY.
Liying YangDepartment of Pathology, New York University School of Medicine, New York, NY.
Dervla KellyHealth Research Institute, Graduate Entry Medical School, University of Limerick, Limerick, Ireland.
Huilin LiDepartment of Population Health, New York University School of Medicine, New York, NY.
Farzana JasmineDepartment of Public Health Sciences, Institute for Population and Precision Health, The University of Chicago, Chicago, IL.
Muhammad G KibriyaDepartment of Public Health Sciences, Institute for Population and Precision Health, The University of Chicago, Chicago, IL.
Faruque ParvezDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY.
Ishrat ShaheenDepartment of Informatics, U-Chicago Research Bangladesh, Ltd., Dhaka, Bangladesh.
Golam SarwarDepartment of Informatics, U-Chicago Research Bangladesh, Ltd., Dhaka, Bangladesh.
Alauddin AhmedDepartment of Informatics, U-Chicago Research Bangladesh, Ltd., Dhaka, Bangladesh.
Mahbub EunusDepartment of Informatics, U-Chicago Research Bangladesh, Ltd., Dhaka, Bangladesh.
Tariqul IslamDepartment of Health, Research & Training, U-Chicago Research Bangladesh, Ltd., Dhaka, Bangladesh.
Zhiheng PeiDepartment of Pathology, New York University School of Medicine, New York, NY.
Habibul AhsanDepartment of Public Health Sciences, Institute for Population and Precision Health, The University of Chicago, Chicago, IL.
Yu ChenDepartment of Population Health, New York University School of Medicine, New York, NY.

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ANIRBAN MAITRA · 1985 to 2026
$83.1M
Training CoreP42ES010349 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NAVAS-ACIEN, ANA · 2000 to 2020
$53.6M
True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
RESEARCH IN ENVIRONMENTAL HEALTH SCIENCES (CENTER GRANT)P30ES000260 · NIEHS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ZELIKOFF, JUDITH TERRY · 1985 to 2020
$26.1M
Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
Enhancement and Maintenance of the HEALS cohortR24ES028532 · NIEHS · UNIVERSITY OF CHICAGO · PI AHSAN, HABIBUL · 2017 to 2022
$1.7M
Novel Statistical Methods in Analyzing Microbiome Data for Longitudinal StudyR01DK110014 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LI, HUILIN · 2016 to 2019
$1.5M
Arsenic Exposure, Gut Microbiome, and ArthrosclerosisR21ES023421 · NIEHS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI AHSAN, HABIBUL, CHEN, YU · 2014 to 2015
$653k
NCI NIH HHS P30 CA016087NIDDK NIH HHS R01 DK110014NIEHS NIH HHS P30 ES000260NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P30 ES027792NIEHS NIH HHS P42 ES010349NIEHS NIH HHS R21 ES023421
6 · The paper itself

Abstract

introductionEpidemiological studies that investigate alterations in the gut microbial composition associated with smoking are lacking. This study examined the composition of the gut microbiome in smokers compared with nonsmokers. AIMS AND

methodsStool samples were collected in a cross-sectional study of 249 participants selected from the Health Effects of Arsenic Longitudinal Study in Bangladesh. Microbial DNA was extracted from the fecal samples and sequenced by 16S rRNA gene sequencing. The associations of smoking status and intensity of smoking with the relative abundance or the absence and presence of individual bacterial taxon from phylum to genus levels were examined.

resultsThe relative abundance of bacterial taxa along the Erysipelotrichi-to-Catenibacterium lineage was significantly higher in current smokers compared to never-smokers. The odds ratio comparing the mean relative abundance in current smokers with that in never-smokers was 1.91 (95% confidence interval = 1.36-2.69) for the genus Catenibacterium and 1.89 (95% confidence interval = 1.39-2.56) for the family Erysipelotrichaceae, the order Erysipelotrichale, and the class Erysipelotrichi (false discovery rate-adjusted p values = .0008-.01). A dose-response association was observed for each of these bacterial taxa. The presence of Alphaproteobacteria was significantly greater comparing current with never-smokers (odds ratio = 4.85, false discovery rate-adjusted p values = .04).

conclusionsOur data in a Bangladeshi population are consistent with evidence of an association between smoking status and dosage with change in the gut bacterial composition. IMPLICATIONS: This study for the first time examined the relationship between smoking and the gut microbiome composition. The data suggest that smoking status may play an important role in the composition of the gut microbiome, especially among individuals with higher levels of tobacco exposure.

Indexed as

AdolescentAdultAgedBacteriaBangladeshCross-Sectional StudiesFecesFemaleGastrointestinal MicrobiomeHumansLongitudinal StudiesMaleMiddle AgedRNA, Ribosomal, 16SSmokingYoung AdultRNA, Ribosomal, 16S

Identifiers

PMID31794002
PMCPMC7364824

What OpenQuestion holds

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Registered trials

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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.