The emerging landscape of performance-enhancing peptides modulating GH-IGF1 axis: bridging the gap between clinical evidence and patient self-administration - Summary - MDSpire

The emerging landscape of performance-enhancing peptides modulating GH-IGF1 axis: bridging the gap between clinical evidence and patient self-administration

  • By

  • Aleksander Dominikowski

  • Zofia Rękoś

  • Michał Olejarz

  • Ewelina Szczepanek-Parulska

  • Remigiusz Domin

  • Marek RuchaŁa

  • June 18, 2026

  • 0 min

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Objective:

To map the main GH–IGF-1–modulating peptides used off-label (i.e., for purposes not approved by regulatory agencies), summarise pharmacokinetic/pharmacodynamic and human evidence, synthesise endocrine–metabolic adverse effects, and compare clinical evidence with patient self-administration protocols.

Approach:
    Key Findings:
    • Performance-enhancing drugs marketed as 'research compounds' include unregulated peptides targeting the GH–IGF-1 axis, such as GHRH analogues (e.g., sermorelin, tesamorelin), GHS (e.g., GHRP-2, GHRP-6), GH fragments (e.g., AOD9604), and IGF-1 analogues (e.g., PEG-MGF).
    • Adverse effects reported include endocrine and metabolic disturbances, fluid retention, musculoskeletal symptoms, and injection-site reactions.
    • The review highlights the uncertainty around performance benefits due to the lack of regulatory approval and variability in product composition.
    Interpretation:

    Clinicians require a pragmatic framework to interpret symptoms and laboratory abnormalities in patients using these compounds, given the absence of robust long-term data and the need for clinical guidelines.

    Limitations:
    • The evidence on GH–IGF-1-axis PEPs is highly heterogeneous regarding compounds, populations, endpoints, and study design, and the review is limited to English-language sources, which may impact the comprehensiveness of the findings.
    Conclusion:

    The review aims to support clinicians in recognizing potential harms and framing risk in the absence of robust long-term data, emphasizing the importance of awareness regarding the risks of unregulated use.

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