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10.3390/ijms241713305 Summary Keywords ADORA3, AGER, amiodarone-induced pulmonary fibrosis, CTSK, FLT3, machine learning, SHAP analysis Citation Yan X, Liu Y and Fan R (2026) Network toxicology reveals key genes of amiodarone induced pulmonary fibrosis: based on machine learning and SHAP analysis
The published research literature describes Epithalon as exerting effects through several proposed mechanisms: induction of telomerase reverse transcriptase (hTERT) gene expression and corresponding telomerase enzymatic activity
Supports detox pathways and hormone balance before conception*
While these findings are preliminary and may not necessarily apply to humans, future clinical trials are necessary to find whether polyphenols reduce the human risk of mortality, potentially conferring a longer lifespan
To test for EHV DNA, we performed a nested PCR as described by 46 with a modified thermocycling protocol 47
