ArticleApplied microbiology and biotechnology2021
Nicotine concentration and mentholation affect bacterial community diversity in SPECTRUM research cigarettes.
Article in Applied microbiology and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
- Viable, Multi-Drug-Resistant Bacteria Recovered from E-Liquids Used with Commercial Electronic Cigarettes.International journal of environmental research and public health · 2025Article
- Bacterial communities of hookah tobacco products are diverse and differ across brands and flavors.Applied microbiology and biotechnology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Previous studies have characterized bacterial communities in menthol versus non-menthol cigarettes. However, these studies evaluated commercial cigarettes, for which levels of chemical constituents are largely unknown, and therefore, could not assess the impact of varying nicotine and menthol concentrations on tobacco bacterial communities. To address this knowledge gap, we performed time-series experiments using SPECTRUM research cigarettes with varying nicotine and menthol levels. Cigarettes were incubated under three storage conditions for 14 days. Cigarette tobacco was then sub-sampled (n = 288), DNA extracted, and subjected to PCR amplification of the V3V4 region of the 16S rRNA gene, followed by Illumina HiSeq sequencing. Sequences were analyzed using QIIME and R. Incubation under varying conditions did not affect bacterial diversity. However, significant differences in bacterial communities were observed across varying nicotine concentrations in menthol and non-menthol products. For example, Pseudomonas spp. was negatively correlated with nicotine concentrations in menthol cigarettes. A significantly higher relative abundance of P. veronii and P. viridiflava was observed in menthols versus non-menthols, while a significantly higher relative abundance of Bacillus foraminis and B. coagulans was found in non-menthols versus menthols. Additional bacteria (e.g., Staphylococcus spp., Jeotgalicoccus psychrophilus, and B. flexus) significantly changed in relative abundance between days 0 and 14. Our findings demonstrate that nicotine and menthol levels have a significant impact on the relative abundance of potential bacterial pathogens present in cigarettes. Future work is needed to demonstrate whether these tobacco-associated bacteria could be transferred to users while smoking, ultimately contributing to adverse respiratory impacts. KEY POINTS: • Varying nicotine levels changes bacterial composition of research cigarettes. • Mentholation affects the tobacco bacterial microbiome. • SPECTRUM research cigarettes are dominated by Pseudomonas and Bacillus.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.