Evidence map›Paper›PMID 36394794›Full record

ArticleBiological trace element research2023

Gene Expression Profiling as a New Real-Time Assay in Human Biomonitoring of Waste-to-Energy Plant Workers.

Alessio Balzerano, Federica Gevi, Stefano Nisi, Sara Rinalducci, Marzio Lasagni, Ivan Arisi

Abstract read
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In one paragraph

Article in Biological trace element research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 4 institutions in 1 country.

Alessio BalzeranoUnit of Molecular Genetics of Aging, Department of Ecology and Biology, University of Tuscia, Viterbo, 01100, Italy. alessio.balzerano@unitus.it.
Federica GeviMass Spectrometry Laboratory, Department of Ecological and Biological Sciences, University of Tuscia, Viterbo, 01100, Italy.
Stefano NisiGran Sasso National Laboratory, National Institute of Nuclear Physics, L'Aquila, 67100, Italy.
Sara RinalducciMass Spectrometry Laboratory, Department of Ecological and Biological Sciences, University of Tuscia, Viterbo, 01100, Italy.
Marzio LasagniAisa Impianti S.P.A, Arezzo, 52100, Italy.
Ivan ArisiBioinformatics Facility, European Brain Research Institute (EBRI) "Rita Levi-Montalcini", Rome, 00161, Italy. i.arisi@ebri.it.
Università degli Studi della Tuscia · ITAzienda Usl 8 Arezzo · ITEuropean Brain Research Institute · ITIstituto Nazionale di Fisica Nucleare, Laboratori Nazionali del Gran Sasso · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exposure to heavy metals represents one of the most important risk factors for the health of incinerator workers. Indeed, heavy metals can determine increased generation of reactive oxygen species (ROS). In this work, we introduced the use of transcription profiling of detoxifying genes, involved in redox balance and genome integrity, as a highly sensitive assay of heavy metal exposure and subsequent oxidative stress. For this purpose, blood mRNA levels of OGG1, ST13, NQO1 and MT1A genes, as well as urinary concentrations of nine heavy metals and the oxidized base 8-OHdG of 49 subjects (26 controls and 23 employees in the waste-to-energy plant of San Zeno, Arezzo, Italy) were determined. No significant difference between the two populations was observed, thus highlighting, as far as the biomarkers analysed are concerned, the absence of occupational exposure to heavy metals and systemic oxidative stress induction in the workers of the waste-to-energy plant of San Zeno. Correlation analyses underline a close association between heavy metals exposure and changes in expression levels of a number of genes, even at low exposure doses, thus remarking the greater capacity of detection of transcription profiling compared to other biomarkers and the importance of its introduction in future human biomonitoring programs.

Indexed as

Metals, HeavyOccupational ExposureBiological MonitoringGene Expression ProfilingHumansOxidative StressPlantsMetals, Heavy

Identifiers

PMID36394794
OpenAlexW4309367406

What OpenQuestion holds

Textmetadata
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.