Evidence map›Paper›PMID 38887756›Full record

ArticleJournal of environmental health science & engineering2024

Combining biomarkers of susceptibility with toxicodynamic models: a novel approach for assessing modifying factors.

Samaneh Dehghani, Masud Yunesian

Abstract read
In one paragraph

Article in Journal of environmental health science & engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

2 authors.

Samaneh DehghaniDepartment of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, 1449614535 Tehran, Iran.
Masud YunesianDepartment of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, 1449614535 Tehran, Iran.ORCID 0000-0002-2870-7433

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers of susceptibility are indicative of an individual's capacity to react to particular exposures, whereas toxicodynamic models elucidate the correlation between exposure and response. In this article, a novel methodology is presented for the evaluation of modifying factors in the field of toxicology. The proposed approach involves the integration of biomarkers of susceptibility with toxicodynamic models. Through the integration of these two methodologies, scientists are able to gain a more comprehensive understanding of the impact of modifying factors, such as genetic polymorphisms or epigenetic profiles, on an individual's reaction to toxic substances. This methodology has the potential to facilitate a more thorough evaluation of the hazards linked to the contact with combinations of chemicals and the cumulative effects of such exposures. The utilization of biomarkers in the evaluation of exposure for risk assessment is progressively incorporating the examination of susceptibility factors alongside exposure factors. This may involve the identification of a particular genetic polymorphism for a metabolic enzyme. The integration of ecotoxicological tests with models is crucial for achieving a comprehensive assessment. This approach exhibits the potential to enhance our comprehension of disease causation and facilitate the identification of populations that may exhibit an elevated susceptibility to disease.

Indexed as

Biomarkers of susceptibilityModifying factorsToxicodynamicToxicology

Identifiers

PMID38887756
PMCPMC11180060

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.