Thymagen vs Dihexa
Side-by-side comparison of key properties, dosing, and research.
- Summary
- Thymagen is a dipeptide bioregulator (Glu-Asp) developed by Professor Vladimir Khavinson, tissue-specific for the thymus gland. It supports T-lymphocyte maturation, thymic function, and immune system normalization. As the thymus involutes with age (thymic atrophy), immune competence declines. Thymagen is used to support immune restoration, particularly in aging, post-illness recovery, and immunodeficiency states.
- Dihexa is a potent experimental oligopeptide derived from angiotensin IV that dramatically enhances synaptogenesis. Preclinical research shows cognitive enhancement orders of magnitude more potent than BDNF — it is considered one of the most powerful nootropic compounds in research, but has very limited human safety data.
- Half-Life
- Short (minutes); sustained gene-regulatory effects
- Unknown (limited pharmacokinetic data)
- Admin Route
- SubQ, Oral
- Oral, SubQ, Topical
- Research
- —
- —
- Typical Dose
- 10 mg per day
- 5–10 mg
- Frequency
- Daily for 10–30 days
- Daily
- Key Benefits
- Supports thymic epithelial cell function and T-cell maturation
- May partially restore thymic output reduced by age-related atrophy
- Normalizes T-lymphocyte subpopulation balance
- Supports immune recovery after illness, surgery, or chemotherapy
- Anti-aging effects on thymic tissue
- Complementary to Thymosin Alpha-1 and Thymalin in immune protocols
- May improve vaccine responsiveness in older individuals
- Dramatically increases synapse formation (potentially 10 million× more potent than BDNF in animal models)
- Enhances memory and learning
- May reverse cognitive decline
- Improves neuroplasticity and executive function
- Long-lasting cognitive benefits from short courses
- Potential therapeutic agent for Alzheimer's
- Side Effects
- Generally well tolerated
- Mild injection site reactions
- No significant immunological adverse events reported
- Headache
- Irritability
- Brain fog during washout period
- Unknown long-term effects (insufficient data)
- Stacks With
- —
- —