Expression and Purification of the Insulin Icodec Precursor

Abstract Basal insulins are essential for diabetes treatment, yet daily injections often impair patient adherence. To address this limitation, researchers have developed insulin icodec, a once-weekly basal insulin analog; nevertheless, its manufacture requires efficient production of a high-quality recombinant precursor. In this study, we aimed to construct recombinant Pichia pastoris strains expressing the insulin icodec precursor. The key cultivation parameters—including pH, temperature, and induction strategy—were screened in shake-flask experiments. The optimized conditions were subsequently applied in 5-L high-cell-density fermentation to evaluate the effects of C-peptide variants (AMK and AAK) and different media formulations (basal salt medium [BSM], ½ BSM, and ⅓ BSM) on secretion efficiency. A scalable three-step purification process consisting of acid precipitation, cation-exchange chromatography, and preparative reversed-phase chromatography was established. Under optimized conditions (pH 6.5, 28°C, methanol feeding), the AMK variant increased the secreted precursor titer by 38% compared with AAK, and BSM medium supported a maximum titer of 10.97 g/L at 126 hours, representing one of the highest levels reported for insulin precursors in yeast. The final product was obtained with >95% purity and >65% overall recovery. Structural identity was confirmed by high-resolution mass spectrometry and peptide mapping with complete sequence coverage. Overall, this work provides a scalable and high-yield process for industrial production of the insulin icodec precursor.

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Publication Details

Journal
Pharmaceutical Fronts
Published
2026-05-29
DOI
https://doi.org/10.1055/a-2855-0703
Primary Topic
Fungal and yeast genetics research
Type
article
Field-Weighted Citation Impact
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article

Expression and Purification of the Insulin Icodec Precursor

Jun Xu, Jiahui Xu, Haoju Hua, Jianguang Lu et al.
Pharmaceutical Fronts
Fungal and yeast genetics research
article

Expression and Purification of the Insulin Icodec Precursor

Jun Xu, Jiahui Xu, Haoju Hua, Jianguang Lu, Jun Feng, Shuqi Lin, Junteng Feng
article en

Abstract

Abstract Basal insulins are essential for diabetes treatment, yet daily injections often impair patient adherence. To address this limitation, researchers have developed insulin icodec, a once-weekly basal insulin analog; nevertheless, its manufacture requires efficient production of a high-quality recombinant precursor. In this study, we aimed to construct recombinant Pichia pastoris strains expressing the insulin icodec precursor. The key cultivation parameters—including pH, temperature, and induction strategy—were screened in shake-flask experiments. The optimized conditions were subsequently applied in 5-L high-cell-density fermentation to evaluate the effects of C-peptide variants (AMK and AAK) and different media formulations (basal salt medium [BSM], ½ BSM, and ⅓ BSM) on secretion efficiency. A scalable three-step purification process consisting of acid precipitation, cation-exchange chromatography, and preparative reversed-phase chromatography was established. Under optimized conditions (pH 6.5, 28°C, methanol feeding), the AMK variant increased the secreted precursor titer by 38% compared with AAK, and BSM medium supported a maximum titer of 10.97 g/L at 126 hours, representing one of the highest levels reported for insulin precursors in yeast. The final product was obtained with >95% purity and >65% overall recovery. Structural identity was confirmed by high-resolution mass spectrometry and peptide mapping with complete sequence coverage. Overall, this work provides a scalable and high-yield process for industrial production of the insulin icodec precursor.

Pharmaceutical Fronts
Viva Biotech (China) (CN), Shanghai Institute of Pharmaceutical Industry (CN)
Openalex Percentile: Top 9%
Fungal and yeast genetics research
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Expression and Purification of the Insulin Icodec Precursor — Jun Xu, Jiahui Xu, et al. · Pharmaceutical Fronts (2026) | TGRS Research Map | TGRS