Aims & Scope
Journal of Experimental and Clinical Toxicology (JECT) publishes research on toxic substance interactions with biological systems, emphasizing dose-response relationships, exposure pathways, and molecular toxicity mechanisms across experimental and translational models.
Toxicity Mechanisms Exposure Science Dose-Response Biomarker Discovery Risk Assessment
Core Research Domains
Molecular & Cellular Toxicology
- Toxicodynamic mechanisms at molecular level
- Cellular signaling pathway disruption
- Genotoxicity and DNA damage responses
- Cytotoxicity mechanisms and cell death pathways
- Oxidative stress and mitochondrial dysfunction
- Receptor-mediated toxicity
Typical Fit: Investigation of MAPK pathway activation following heavy metal exposure in hepatocytes, with dose-response characterization and biomarker identification.
Toxicokinetics & Metabolism
- Absorption, distribution, metabolism, excretion (ADME) of toxicants
- Xenobiotic metabolism and biotransformation
- Phase I and Phase II metabolic pathways
- Toxicant-drug interactions
- Bioaccumulation and biomagnification studies
- Pharmacokinetic modeling of toxic substances
Typical Fit: Characterization of cytochrome P450-mediated metabolism of environmental pollutants with identification of toxic metabolites and elimination kinetics.
Environmental & Occupational Toxicology
- Industrial pollutant exposure assessment
- Pesticide toxicity mechanisms
- Air pollutant biological effects
- Water contaminant toxicology
- Occupational hazard characterization
- Persistent organic pollutant (POP) effects
Typical Fit: Mechanistic study of organophosphate pesticide-induced neurotoxicity in occupational exposure models, including acetylcholinesterase inhibition kinetics.
Organ-Specific Toxicology
- Hepatotoxicity mechanisms and biomarkers
- Nephrotoxicity and renal injury pathways
- Neurotoxicity and neurodegeneration
- Cardiotoxicity mechanisms
- Pulmonary toxicity and respiratory effects
- Reproductive and developmental toxicity
Typical Fit: Dose-dependent hepatotoxicity assessment of industrial solvents using in vitro and in vivo models, with mechanistic pathway analysis and predictive biomarker validation.
Secondary Focus Areas
Specialized Toxicology Fields
- Nanotoxicology and nanomaterial safety
- Immunotoxicology and immune dysfunction
- Behavioral toxicology and neurobehavioral effects
- Ophthalmological toxicity mechanisms
- Ototoxicity and auditory system damage
Methodological Innovations
- In vitro toxicity testing platforms
- High-throughput screening methods
- Organ-on-chip toxicology models
- 3D cell culture toxicity assessment
- Alternative to animal testing (NAMs)
Computational Toxicology
- QSAR modeling for toxicity prediction
- Systems toxicology approaches
- Toxicogenomics and transcriptomics
- AI/machine learning in toxicity assessment
- Adverse outcome pathway (AOP) development
Risk Assessment & Regulatory Science
- Quantitative risk assessment methodologies
- Benchmark dose modeling
- Safety threshold determination
- Regulatory toxicology data generation
- Hazard characterization studies
Emerging Research Areas
Frontier Topics Selective Review
Microplastic toxicity mechanisms
PFAS (forever chemicals) biological effects
Climate change and toxicant interactions
Endocrine disrupting chemical mechanisms
Epigenetic toxicology
Gut microbiome-toxicant interactions
Note: Manuscripts in emerging areas undergo additional editorial review to ensure mechanistic depth and alignment with journal scope. Purely descriptive or observational studies without mechanistic investigation may be declined.
Article Types
Original Research Articles
Systematic Reviews & Meta-Analyses
Methods & Protocols
Toxicogenomics Studies
Short Communications
Data Notes
Technical Reports
Perspectives
Mini-Reviews
Case Reports
Opinion Pieces
Commentaries
Editorial Standards & Requirements
Reporting Guidelines
- ARRIVE 2.0 for animal studies
- STROBE for observational studies
- PRISMA for systematic reviews
- MIAME for microarray data
- Good Laboratory Practice (GLP) compliance
Data & Reproducibility
- Raw data deposition in public repositories
- Statistical analysis transparency
- Methodological detail for reproducibility
- Dose-response data reporting
- Negative results encouraged
Ethics & Compliance
- IACUC approval for animal studies
- IRB approval for human subjects
- Conflict of interest disclosure
- Funding source transparency
- Industry collaboration disclosure
Preprint & Prior Publication
- Preprints allowed (bioRxiv, medRxiv)
- Conference abstracts permitted
- Thesis chapters acceptable with disclosure
- No duplicate publication
- Prior datasets may be reanalyzed
Editorial Decision Metrics
21 days First Decision
42% Acceptance Rate
28 days To Publication
Open Access Model
