Unbiased approach for the identification of molecular mechanisms sensitive to chemical exposures
Alexander Suvorov1, Victoria Salemme1, Joseph McGaunn1
1Department of Environmental Health Sciences, School of Public Health & Health Sciences, University of Massachusetts, 686 North Pleasant Street, Amherst, MA, 01003, USA.
Abstract:
Targeted methods that dominated toxicological research until recently did not allow for screening of all molecular changes involved in toxic response. Therefore, it is difficult to infer if all major mechanisms of toxicity have already been discovered, or if some of them are still overlooked. We used data on 591,084 unique chemical-gene interactions to identify genes and molecular pathways most sensitive to chemical exposures. The list of identified pathways did not change significantly when analyses were done on different subsets of data with non-overlapping lists of chemical compounds indicative that our dataset is saturated enough to provide unbiased results. One of the most important findings of this study is that almost every known molecular mechanism may be affected by chemical exposures. Predictably, xenobiotic metabolism pathways, and mechanisms of cellular response to stress and damage were among the most sensitive. Additionally, we identified highly sensitive molecular pathways, which are not widely recognized as major targets of toxicants, including lipid metabolism pathways, longevity regulation cascade, and cytokine-mediated signaling. These mechanisms are relevant to significant public health problems, such as aging, cancer, metabolic and autoimmune disease. Thus, public health field will benefit from future focus of toxicological research on identified sensitive mechanisms.
Insights
This study reveals that nearly all molecular mechanisms can be impacted by chemical exposures, highlighting pathways beyond traditional toxicology. Understanding these sensitive pathways is crucial for public health and disease prevention.
Area of Science:
- Toxicology
- Molecular Biology
- Public Health
Background:
- Traditional toxicological methods were limited in screening all molecular changes.
- This limitation made it difficult to ascertain if all toxicity mechanisms were known or if some were overlooked.
Purpose of the Study:
- To identify genes and molecular pathways most sensitive to chemical exposures using a large-scale dataset.
- To assess the comprehensiveness of current toxicological understanding and identify potentially overlooked mechanisms.
Main Methods:
- Analysis of a comprehensive dataset comprising 591,084 unique chemical-gene interactions.
- Validation of results across different data subsets to ensure dataset saturation and unbiased findings.
Main Results:
- Identification of numerous molecular pathways sensitive to chemical exposures, with results consistent across data subsets.
- Confirmation that xenobiotic metabolism and cellular stress response pathways are highly sensitive.
- Discovery of lipid metabolism, longevity regulation, and cytokine-mediated signaling as highly sensitive pathways not traditionally recognized as primary toxicant targets.
Conclusions:
- Chemical exposures can affect nearly all known molecular mechanisms.
- Identified sensitive pathways, including lipid metabolism and cytokine signaling, are linked to major public health issues like aging, cancer, and autoimmune diseases.
- Future toxicological research should focus on these identified sensitive mechanisms to benefit public health.
