Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Mutagenicity and Carcinogenicity

Mutagenicity and Carcinogenicity

Mutagenicity and carcinogenicity refer to the ability of drugs to cause genetic defects and induce cancer, respectively. The International Agency for Research on Cancer (IARC) classifies agents into four groups based on their carcinogenic potential. Group 1 agents are known human carcinogens; group 2A agents are probably carcinogenic to humans; group 3 agents lack data to support their role in carcinogenesis; and group 4 includes agents for which data support that they are not likely to be...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Biomarker identification of triple negative breast cancer subtypes using machine learning.

NPJ systems biology and applications·2026

Same author

Beyond Bloodstream Infection: The Potential for Hierarchical Composite Endpoints in Vascular Access Research.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2026

Same author

Integrating Host Genetics and Clinical Setting in Machine Learning Models: Predicting COVID-19 Prognosis for Healthcare Decision-Making (The FeMiNa Study).

Diagnostics (Basel, Switzerland)·2026

Same author

Central venous versus short midline catheter in difficult intravenous access patients: a randomised clinical pilot trial.

BMJ open·2026

Same author

Artificial Intelligence-based analysis of pre-eclampsia gene expression profiles for identification of novel potential pre-eclampsia diagnostic biomarkers.

Pregnancy hypertension·2026

Same author

Green-synthesized silver-alginate-ciprofloxacin hydrogel: A multifaceted therapeutic for enhanced diabetic and burn Wound healing.

Journal of biomaterials applications·2026

Same journal

Evaluating the Suitability of HepaRG Cells for Regulatory Micronucleus Testing: Comparing Results for a Diverse Set of 28 Chemicals to Regulatory Accepted TK6 Cells.

Environmental and molecular mutagenesis·2026

Same journal

Resveratrol Mitigates Haloacetaldehyde Disinfection By-Products (HAL-DBPs)-Induced Oocyte Developmental Toxicity via Mitochondria-Dependent Pathways.

Environmental and molecular mutagenesis·2026

Same journal

DZNep: A Methyltransferase Modulator for Disease Mitigation.

Environmental and molecular mutagenesis·2026

Same journal

Transcriptional Dysregulation of Histone Methyltransferase Genes and Chromosomal Instability Associated With Chronic Pesticide Exposure.

Environmental and molecular mutagenesis·2026

Same journal

Evaluation of Type 1 Error Rates in Duplex Sequencing for Mutagenicity Testing Using Vehicle Control Data and Simulation Analyses.

Environmental and molecular mutagenesis·2026

Same journal

Benzo[b]fluoranthene Induces Mutation Accumulation and Cancer-Relevant Mutational Signatures in Mouse Lung Alongside Steady State Levels of Chromosome Damage in Blood.

Environmental and molecular mutagenesis·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 22, 2025

A Two-Step Pyrolysis-Gas Chromatography Method with Mass Spectrometric Detection for Identification of Tattoo Ink Ingredients and Counterfeit Products

A Two-Step Pyrolysis-Gas Chromatography Method with Mass Spectrometric Detection for Identification of Tattoo Ink Ingredients and Counterfeit Products

Published on: May 22, 2019

Applicability of In Silico New Approach Methods for the Risk Assessment of Tattoo Ink Ingredients.

Prachi Pradeep¹, Stefanie Seifert¹, Ajay Vikram Singh¹

¹German Federal Institute for Risk Assessment (BfR), Department of Chemical and Product Safety, Berlin, Germany.

Environmental and Molecular Mutagenesis

|May 19, 2025

Summary

This summary is machine-generated.

This study assesses computational methods for evaluating tattoo ink ingredient safety, specifically genotoxicity. It prioritizes chemicals for further testing, aiding in the development of safer tattoo products.

Keywords:

NAMs QSARs pigments tattoo ink safety

More Related Videos

Advanced 3D Liver Models for In vitro Genotoxicity Testing Following Long-Term Nanomaterial Exposure

Advanced 3D Liver Models for In vitro Genotoxicity Testing Following Long-Term Nanomaterial Exposure

Published on: June 5, 2020

Generation of a Simplified Three-Dimensional Skin-on-a-chip Model in a Micromachined Microfluidic Platform

Generation of a Simplified Three-Dimensional Skin-on-a-chip Model in a Micromachined Microfluidic Platform

Published on: May 17, 2021

Related Experiment Videos

Last Updated: May 22, 2025

A Two-Step Pyrolysis-Gas Chromatography Method with Mass Spectrometric Detection for Identification of Tattoo Ink Ingredients and Counterfeit Products

A Two-Step Pyrolysis-Gas Chromatography Method with Mass Spectrometric Detection for Identification of Tattoo Ink Ingredients and Counterfeit Products

Published on: May 22, 2019

Advanced 3D Liver Models for In vitro Genotoxicity Testing Following Long-Term Nanomaterial Exposure

Advanced 3D Liver Models for In vitro Genotoxicity Testing Following Long-Term Nanomaterial Exposure

Published on: June 5, 2020

Generation of a Simplified Three-Dimensional Skin-on-a-chip Model in a Micromachined Microfluidic Platform

Generation of a Simplified Three-Dimensional Skin-on-a-chip Model in a Micromachined Microfluidic Platform

Published on: May 17, 2021

Area of Science:

Toxicology
Computational Chemistry
Regulatory Science

Background:

Tattoo inks contain diverse chemicals with potential health risks.
Current regulations lack comprehensive safety assessment criteria for tattoo inks.
New Approach Methodologies (NAMs) offer alternatives for data-gap filling in chemical safety.

Purpose of the Study:

Evaluate the applicability of in silico NAMs for genotoxicity assessment of tattoo ink ingredients.
Develop and validate QSAR models for tattoo ink components.
Prioritize data-poor tattoo ink ingredients for further safety evaluation.

Main Methods:

Utilized publicly available QSAR tools and structural alerts for in silico genotoxicity predictions.
Acquired experimental in vitro genotoxicity data from IUCLID (REACH Study Results).
Developed and validated QSAR models tailored to tattoo ink ingredients.

Main Results:

Successfully applied in silico models for genotoxicity assessment of tattoo ink ingredients.
Identified 4 high-priority, 18 medium-priority, and 2 low-priority substances for further assessment.
Demonstrated the utility of in silico NAMs for prioritizing chemicals in the absence of experimental data.

Conclusions:

In silico NAMs are applicable for genotoxicity data-gap filling for tattoo ink ingredients.
The developed workflow effectively categorizes and prioritizes substances for further safety screening.
This approach supports the development of robust safety assessments for tattoo products.