Design of potent and proteolytically stable oxyntomodulin analogs
Open accessAbstract
Incretin-based peptides are effective therapeutics for treating type 2 diabetes mellitus (T2DM). Oxyntomodulin (OXM), a dual agonist of GLP-1R and GCGR, has shown superior weight loss and glucose lowering effects, compared to single GLP-1R agonists. To overcome the short half-life and rapid renal clearance of OXM, which limit its therapeutic potential, both lipid and PEG modified OXM analogs have been reported. However, these approaches often result in reduced potency or PEG-associated toxicity. Herein, we report a new class of cross-linked OXM analogs that show increased plasma stability and higher potency in activating both GLP-1R and GCGR. Moreover, the extended in vivo half-life results in superior antihyperglycemic activity in mice compared to the wild-type OXM.
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Early anti-obesity drugs had limited weight reduction, were unsafe, poorly tolerated, and did not have proven health or mortality benefits.
“Early anti-obesity drugs had limited weight reduction, were unsafe, poorly tolerated, and did not have proven health or mortality benefits.”
From Anti-Obesity Medications and Investigational Agents: An Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) 2022 (2022) · cites this paper as [212]
Current and future anti-obesity medications have the potential to be relatively safe, well tolerated, efficacious, and will hopefully prove to have health outcomes and improved mortality benefits.
“Current and future anti-obesity medications have the potential to be relatively safe, well tolerated, efficacious, and will (hopefully) prove to have health outcomes and improved mortality benefits [37,108,212].”
From Anti-Obesity Medications and Investigational Agents: An Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) 2022 (2022) · cites this paper as [212]
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- Authors
- Muppidi, A., Zou, H., Yang, P. Y., Chao, E., Sherwood, L., Nunez, V., Woods, A. K., Schultz, P. G., Lin, Q., & Shen, W.
- Affiliations
- California Institute for Biomedical Research (US)
- Department of Chemistry, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, California 92037, United States
- California Institute for Biomedical Research (Calibr), 11119 North Torrey Pines Road, La Jolla, California 92037, United States
- Scripps Research Institute (US)
- University at Buffalo, State University of New York (US)
- Corresponding author
- Schultz, Peter G.
- Lin, Qing
- Shen, Weijun
- Venue
- ACS Chemical Biology
- Publisher
- American Chemical Society (ACS)
- Published
- 2016-01-04
- Volume
- 11
- Issue
- 2
- Pages
- 324-328
- ISSN
- 1554-8929 (ISSN-L)
- 1554-8937
- PMC
- PMC4861236
- OpenAlex
- W2226846307
- Cited by
- 44
- References
- 38
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 2 · 2023: 2 · 2022: 8 · 2021: 3 · 2020: 8 · 2019: 3 · 2018: 3 · 2017: 6 · 2016: 3
- FWCI
- 5.03
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- ACS Chemical Biology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Elsa U. Pardee Foundation
- National Institute of General Medical Sciences (GM 085092)
- Nisei Foundation
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chemical Synthesis and Analysis
- Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
- Keywords
- oxyntomodulin, GLP-1 receptor, type 2 diabetes, peptide analogues, cross-linked peptides, proteolytic stability, plasma half-life, antidiabetic activity, incretin-based therapy
- MeSH terms
- Glucagon-Like Peptide-1 Receptor, Glucagon-Like Peptide-1 Receptor Agonists, Amino Acid Sequence, Animals, Cross-Linking Reagents, Humans, Hypoglycemic Agents, Models, Molecular, Molecular Sequence Data, Receptors, Glucagon, Mice, Oxyntomodulin, HEK293 Cells, Proteolysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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