Is Cadmium Toxicity Tissue-Specific? Toxicogenomics Studies Reveal Common and Specific Pathways in Pulmonary, Hepatic, and Neuronal Cell Models.
Matilde Emma ForcellaPierre LauMarco FabbriPaola FusiMonica OldaniPasquale MelchiorettoLaura GribaldoChiara UraniPublished in: International journal of molecular sciences (2022)
Several harmful modifications in different tissues-organs, leading to relevant diseases (e.g., liver and lung diseases, neurodegeneration) are reported after exposure to cadmium (Cd), a wide environmental contaminant. This arises the question whether any common molecular signatures and/or Cd-induced modifications might represent the building block in initiating or contributing to address the cells towards different pathological conditions. To unravel possible mechanisms of Cd tissue-specificity, we have analyzed transcriptomics data from cell models representative of three major Cd targets: pulmonary (A549), hepatic (HepG2), and neuronal (SH-SY-5Y) cells. Further, we compared common features to identify any non-specific molecular signatures. The functional analysis of dysregulated genes (gene ontology and KEGG) shows GO terms related to metabolic processes significantly enriched only in HepG2 cells. GO terms in common in the three cell models are related to metal ions stress response and detoxification processes. Results from KEGG analysis show that only one specific pathway is dysregulated in a significant way in all cell models: the mineral absorption pathway. Our data clearly indicate how the molecular mimicry of Cd and its ability to cause a general metal ions dyshomeostasis represent the initial common feature leading to different molecular signatures and alterations, possibly responsible for different pathological conditions.
Keyphrases
- single cell
- genome wide
- cell therapy
- induced apoptosis
- pulmonary hypertension
- stem cells
- gene expression
- oxidative stress
- machine learning
- electronic health record
- dna methylation
- cell cycle arrest
- quantum dots
- mesenchymal stem cells
- big data
- single molecule
- artificial intelligence
- cross sectional
- signaling pathway
- risk assessment
- brain injury
- subarachnoid hemorrhage
- cerebral ischemia
- human health
- stress induced
- life cycle