Evidence map›Paper›PMID 21575274›Full record

ArticleEnvironmental health : a global access science source2011

Genotoxic potential generated by biomass burning in the Brazilian Legal Amazon by Tradescantia micronucleus bioassay: a toxicity assessment study.

Herbert A Sisenando, Silvia R Batistuzzo de Medeiros, Paulo H N Saldiva, Paulo Artaxo, Sandra S Hacon

Abstract readEvaluation Study
In one paragraph

Article in Environmental health : a global access science source, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Herbert A SisenandoEscola Nacional de Saúde Pública - ENSP, Fiocruz, Rio de Janeiro, CEP: 21041-210, RJ, Brazil. herbertsisenando@yahoo.com.br
Silvia R Batistuzzo de Medeiros
Paulo H N Saldiva
Paulo Artaxo
Sandra S Hacon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Brazilian Amazon has suffered impacts from non-sustainable economic development, especially owing to the expansion of agricultural commodities into forest areas. The Tangará da Serra region, located in the southern of the Legal Amazon, is characterized by non-mechanized sugar cane production. In addition, it lies on the dispersion path of the pollution plume generated by biomass burning. The aim of this study was to assess the genotoxic potential of the atmosphere in the Tangará da Serra region, using Tradescantia pallida as in situ bioindicator.

methodsThe study was conducted during the dry and rainy seasons, where the plants were exposed to two types of exposure, active and passive.

resultsThe results showed that in all the sampling seasons, irrespective of exposure type, there was an increase in micronucleus frequency, compared to control and that it was statistically significant in the dry season. A strong and significant relationship was also observed between the increase in micronucleus incidence and the rise in fine particulate matter, and hospital morbidity from respiratory diseases in children.

conclusionsBased on the results, we demonstrated that pollutants generated by biomass burning in the Brazilian Amazon can induce genetic damage in test plants that was more prominent during dry season, and correlated with the level of particulates and elevated respiratory morbidity.

Indexed as

Environmental ExposureAir PollutantsBiomassBrazilChildEnvironmental MonitoringFiresHospitalizationHumansMicronucleus TestsMutagensParticulate MatterSeasonsTradescantiaAir PollutantsMutagensParticulate Matter

Identifiers

PMID21575274
PMCPMC3118318

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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.