Evidence map›Paper›PMID 33654287›Full record

ArticlePediatric research2021

Altered microbiomes in thirdhand smoke-exposed children and their home environments.

Scott T Kelley, William Liu, Penelope J E Quintana, Eunha Hoh, Nathan G Dodder, E Melinda Mahabee-Gittens, Samuel Padilla, Shawn Ogden, Sia Frenzel, Laura Sisk-Hackworth and 1 more

Abstract read
In one paragraph

Article in Pediatric research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. The indoors microbiome and human health.Nature reviews. Microbiology · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Observational
  19. 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

11 authors.

Scott T KelleySan Diego State University, San Diego, CA, USA.
William LiuSan Diego State University, San Diego, CA, USA.
Penelope J E QuintanaSan Diego State University, San Diego, CA, USA.
Eunha HohSan Diego State University, San Diego, CA, USA.
Nathan G DodderSan Diego State University, San Diego, CA, USA.
E Melinda Mahabee-GittensCincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Samuel PadillaSan Diego State University, San Diego, CA, USA.
Shawn OgdenSan Diego State University, San Diego, CA, USA.
Sia FrenzelSan Diego State University, San Diego, CA, USA.
Laura Sisk-HackworthSan Diego State University, San Diego, CA, USA.
Georg E MattSan Diego State University, San Diego, CA, USA. gmatt@sdsu.edu.

Funding

Supplement: Contribution of Thirdhand Smoke to Overall Tobacco SmokeR01ES027815 · NIEHS · CINCINNATI CHILDRENS HOSP MED CTR · PI MAHABEE-GITTENS, E. MELINDA, MATT, GEORG E · 2018 to 2022
$3.1M
Prevalence and Clinical Correlates of Thirdhand Smoke Exposure in a Pediatric Patient PopulationR01ES030743 · NIEHS · CINCINNATI CHILDRENS HOSP MED CTR · PI MAHABEE-GITTENS, E. MELINDA · 2019 to 2023
$2.9M
NIEHS NIH HHS R01 ES027815NIEHS NIH HHS R01 ES030743
6 · The paper itself

Abstract

introductionTobacco smoke contains numerous toxic chemicals that accumulate in indoor environments creating thirdhand smoke (THS). We investigated if THS-polluted homes differed in children's human and built-environment microbiomes as compared to THS-free homes.

methodsParticipants were n = 19 THS-exposed children and n = 10 unexposed children (≤5 years) and their caregivers. Environmental and biological samples were analyzed for THS pollutants and exposure. Swab samples were collected from the built-environment (floor, table, armrest, bed frame) and child (finger, nose, mouth, and ear canal), and 16S ribosomal RNA genes were analyzed for bacterial taxa using high-throughput DNA sequencing.

resultsPhylogenetic α-diversity was significantly higher for the built-environment microbiomes in THS-polluted homes compared to THS-free homes (p < 0.014). Log2-fold comparison found differences between THS-polluted and THS-free homes for specific genera in samples from the built-environment (e.g., Acinetobacter, Bradyrhizobium, Corynebacterium, Gemella, Neisseria, Staphylococcus, Streptococcus, and Veillonella) and in samples from children (esp. Corynebacterium, Gemella, Lautropia, Neisseria, Rothia, Staphylococcus, and Veillonella).

conclusionWhen exposed to THS, indoor and children microbiomes are altered in an environment-specific manner. Changes are similar to those reported in previous studies for smokers and secondhand smoke-exposed persons. THS-induced changes in child and built-environmental microbiomes may play a role in clinical outcomes in children. IMPACT: Despite smoking bans, children can be exposed to tobacco smoke residue (i.e., thirdhand smoke) that lingers on surfaces and in settled house dust. Thirdhand smoke exposure is associated with changes in the microbiomes of the home environment and of the children living in these homes. Thirdhand smoke is associated with increased phylogenetic diversity of the home environment and changes in the abundances of several genera of the child microbiome known to be affected by active smoking and secondhand smoke (e.g., Corynebacterium, Staphylococcus, Streptococcus). Thirdhand smoke exposure by itself may induce alterations in the microbiome that play a role in childhood pathologies.

Indexed as

Family CharacteristicsMicrobiotaTobacco Smoke PollutionBacteriaChild, PreschoolHumansSpecies SpecificityTobacco Smoke Pollution

Identifiers

PMID33654287
PMCPMC8410873

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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.