Current Opinion in Toxicology
Scope & Guideline
Advancing Insights in Toxicology Research
Introduction
Aims and Scopes
- Genomic and Molecular Toxicology:
The journal focuses on the application of genomic and molecular techniques, such as single-cell RNA sequencing and multiomics approaches, to better understand toxicological responses and mechanisms at the cellular level. - Environmental Toxicology:
A significant emphasis is placed on environmental impacts of toxic substances, including the study of chemical mixtures and their effects on various biological systems, with a particular focus on developmental and reproductive toxicology. - Innovative Risk Assessment Methodologies:
The journal explores novel methodologies for assessing the risks associated with chemical exposures, including new approach methodologies (NAMs) and computational techniques, to improve safety evaluations. - Microbiome and Toxicology:
Current Opinion in Toxicology highlights the interplay between the microbiome and toxicological outcomes, examining how gut microbiota can influence the effects of environmental and chemical exposures. - Transdisciplinary Research:
The journal promotes interdisciplinary approaches, integrating insights from fields such as network medicine, artificial intelligence, and systems biology to enhance understanding of toxicological effects and improve therapeutic strategies.
Trending and Emerging
- Single-Cell Technologies in Toxicology:
There is a growing trend towards the application of single-cell technologies, particularly single-cell RNA sequencing, which allows for a more nuanced understanding of cellular responses to toxic exposures at an unprecedented resolution. - Chemical Mixture Toxicology:
Research on the toxicity of chemical mixtures is gaining momentum, focusing on how complex interactions between multiple substances can affect health, underscoring the need for more sophisticated risk assessment methodologies. - Developmental and Reproductive Toxicology:
An increased focus on developmental and reproductive toxicology highlights the importance of understanding how early-life exposures can have long-term health consequences, particularly in vulnerable populations. - Artificial Intelligence and Predictive Modeling:
The integration of artificial intelligence and machine learning into toxicology is emerging as a powerful tool for predicting toxicological outcomes and improving risk assessments, marking a significant shift in the methodologies employed in the field. - Microbiome Interactions with Toxic Exposures:
Emerging research is increasingly recognizing the role of the microbiome in modulating responses to toxic substances, which opens new avenues for understanding individual susceptibility to toxicants.
Declining or Waning
- Hormesis and Low-Dose Effects:
Research related to hormesis, or the phenomenon where low doses of a toxic substance may have beneficial effects, has seen a reduction in publications, indicating a possible shift towards more conventional dose-response relationships. - Traditional Animal Models:
There is a noticeable decline in studies relying heavily on traditional animal models for toxicological testing, as the field moves towards alternative methods such as in vitro and organ-on-a-chip technologies. - Neurotoxicity of Legacy Chemicals:
The exploration of the neurotoxic effects of legacy chemicals, such as heavy metals and pesticides, has become less frequent, possibly as newer chemical exposures and their impacts gain attention. - Plastic Pollution Studies:
While still relevant, the frequency of publications specifically addressing plastic pollution and its toxicological implications appears to be waning, suggesting a possible saturation of this topic in the current literature.
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