Network Toxicology
Network Toxicology - Related Videos
11:38
High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents (HPHC)
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Cited by 23 •
2016
The objective of the study was to assess the biological impact of 15 cigarette smoke constituents using a combination of an impedance-based real time cell analyzer and a high-content screening (HCS)-based platform for toxicological assessment in vitro. This study provides information on effective doses, toxicity and modes of action of the tested compounds.
02:26
Protein Networks
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2020
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions. These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
02:18
Network Covalent Solids
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2020
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds. To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
08:59
An Intestine/Liver Microphysiological System for Drug Pharmacokinetic and Toxicological Assessment
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Cited by 3 •
2020
We exposed a microphysiological system (MPS) with intestine and liver organoids to acetaminophen (APAP). This article describes the methods for organoid production and APAP pharmacokinetic and toxicological property assessments in the MPS. It also describes the tissue functionality analyses necessary to validate the results.
12:09
Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
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Cited by 35 •
2014
The Default Mode Network (DMN) in Temporal Lobe Epilepsy (TLE) is analyzed in the resting state of the brain using seed-based functional connectivity MRI (fcMRI).
FAQs
Network toxicology shifts attention from an isolated chemical effect to relationships among biological targets, pathways, and disease processes. This systems-level view can show how changes at one target connect with other molecular events, revealing toxicity patterns that a single-molecule analysis could miss. In medicine, this broader perspective supports more complete interpretation of potential adverse effects.
Chemical–target interaction maps organize links between an exposure and the biological targets it may influence. These connections help investigators identify perturbed genes or proteins and relate them to cellular pathways. The resulting network can provide a structured basis for tracing molecular changes toward disease processes, while also highlighting targets or pathways that deserve further study.
Omics data add broad molecular evidence to the analysis by helping identify genes or proteins that change in association with chemical exposure. When integrated with network biology and bioinformatics, these data can connect molecular perturbations across pathways rather than examining them separately. This improves the ability to investigate mechanisms of toxicity and generate focused experimental questions.
Pathway-level analysis helps connect molecular disturbances with the biological processes involved in disease. Instead of stopping at an altered gene or protein, investigators can examine how related changes are organized within cellular pathways and how their effects may propagate through the system. This provides mechanistic context for toxicity prediction and mechanism-of-action studies.
A typical analysis begins by relating a chemical to biological targets, then maps those targets to genes, proteins, and cellular pathways using bioinformatics and available omics evidence. Investigators next examine how the connected changes relate to disease processes and potential adverse outcomes. The network can then help prioritize experimental testing or clarify a suspected mechanism.
In medicine, the approach is useful for drug safety evaluation, toxicity prediction, and mechanism-of-action studies. It can organize evidence about how a therapeutic compound influences multiple biological targets and pathways, helping investigators recognize possible adverse effects beyond an isolated molecular interaction. These insights can support assessment of candidate compounds before or during further experimental investigation.
Network toxicology can be applied to environmental or occupational exposures by examining how chemicals connect with biological targets, perturbed genes or proteins, and disease-related pathways. This helps researchers investigate shared toxicity mechanisms across different exposures and prioritize which molecular effects require experimental testing. In drug development, the same reasoning can contribute to designing safer therapeutic compounds.