The Use of Signal-Transduction and Metabolic Pathways to Predict Human Disease Targets from Electric and Magnetic Fields Using in vitro Data in Human Cell Lines.

摘要: Using in-vitro data in human cell lines, several research groups have investigated changes gene expression cellular systems following exposure to extremely low frequency (ELF) and radiofrequency (RF) electromagnetic fields (EMF). For ELF EMF, we obtained 5 studies with complete microarray 3 only lists of significantly altered genes. Likewise, for RF EMF 13 sets limited datasets. Plausible linkages between diseases were identified using a three-step process: a) linking genes associated classes molecular pathways; b) pathways data; c) identifying associations disease exposures where the are similar. A total 60 diseases, mostly focused on basic functions like JAK-STAT signaling or metabolic xenobiotic metabolism by cytochrome P450 enzymes. datasets sporadically linked but no clear pattern emerged. Individual showed some linkage cancer, chemical dependency, disorders neurological disorders. not strongly any Based these analyses, most promising area further would be focus function