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Updated: Jun 2, 2026

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Comparative Analysis of Human Growth Hormone in Serum Using SPRi, Nano-SPRi and ELISA Assays
Published on: January 7, 2016
Optimized clinical performance of growth hormone with an expanded genetic code
Ho Cho1, Tom Daniel, Ying Ji Buechler
1Ambrx Incorporated, 10975 North Torrey Pines Road, La Jolla, CA 92037, USA. ho.cho@ambrx.com
Summary
Scientists created a new human growth hormone (hGH) using an expanded genetic code. This biosynthetic protein, modified with nonnative amino acids, showed improved potency and required less frequent injections in clinical trials.
Area of Science:
- Biotechnology
- Protein Engineering
- Pharmacology
Background:
- The ribosomal incorporation of nonnative amino acids into polypeptides offers a method to enhance therapeutic protein properties.
- Current protein therapeutics often face limitations in efficacy and dosing frequency.
Purpose of the Study:
- To conduct the first clinical study of a biosynthetic protein produced using an expanded genetic code.
- To evaluate the efficacy and safety of a modified human growth hormone (hGH) with enhanced pharmacological properties.
Main Methods:
- Incorporation of p-acetylphenylalanine (pAcF), a nonnative amino acid, into hGH at specific sites.
- Site-specific conjugation of polyethylene glycol (PEG) to create homogeneous hGH variants.
- Pharmacodynamic studies in GH-deficient rats and clinical trials in GH-deficient adults.
Main Results:
- A mono-PEGylated hGH mutant (modified at residue 35) exhibited favorable pharmacodynamic properties in preclinical models.
- Clinical studies demonstrated that the biosynthetic hGH was comparable in efficacy and safety to native hGH.
- The modified hGH showed increased potency and allowed for reduced injection frequency in patients.
Conclusions:
- The use of nonnative amino acids via an expanded genetic code is a viable strategy for optimizing protein therapeutics.
- Biosynthetic proteins can be engineered to possess superior pharmacological profiles compared to their native counterparts.
- This approach holds significant potential for improving treatment outcomes and patient compliance for protein-based therapies.
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