Increased Throughput of Combined Stability Testing and Metabolite Identification Using a Sample Multiplexing Strategy for the Optimization of Engineered Cyclic Peptide Drugs

Engineered cyclic peptides (ECPs) have been in the spotlight as novel drug modalities for challenging therapeutic targets. Oral delivery of engineered cyclic peptides benefits from ease of administration. However, one of the main hurdles in developing orally effective peptide drugs is their potential metabolic instability due to enzymatic degradation. To that end, <i>in vitro</i> experiments with simulated intestinal fluid (SIF) have been used to assess drug metabolic stability in the gastrointestinal tract. Currently, metabolic stability evaluations and biotransformation assessments are performed separately, which can be time-consuming and result in complex data analysis. Presented here is a sample multiplexing strategy to address these challenges by leveraging a Thermo Scientific Orbitrap Astral mass spectrometer with two complementary analyzers, enabling the simultaneous analysis of metabolic stability from the Orbitrap full scan and biotransformation from the Astral analyzer from one sample injection. Furthermore, we demonstrate that 10 engineered cyclic peptides can be pooled into one sample injection without compromising the data quality to decrease the instrument run time and improve the throughput of the assay.

Authors

Institutions

Publication Details

Journal
Journal of the American Society for Mass Spectrometry
Published
2025-05-23
DOI
https://doi.org/10.1021/jasms.5c00113
Citations
1
Primary Topic
Chemical Synthesis and Analysis
Type
article
Field-Weighted Citation Impact
0.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Increased Throughput of Combined Stability Testing and Metabolite Identification Using a Sample Multiplexing Strategy for the Optimization of Engineered Cyclic Peptide Drugs

Mark T. Cancilla, Lisa A. Vasicek, Congliang Sun, Sven Hackbusch et al.
1 citations
Journal of the American Society for Mass Spectrometry
Chemical Synthesis and Analysis
0.81
article

Increased Throughput of Combined Stability Testing and Metabolite Identification Using a Sample Multiplexing Strategy for the Optimization of Engineered Cyclic Peptide Drugs

Mark T. Cancilla, Lisa A. Vasicek, Congliang Sun, Sven Hackbusch, Bahanu Habulihaz, Daniel S. Spellman, Sébastien Morin
article en
1 citations

Abstract

Engineered cyclic peptides (ECPs) have been in the spotlight as novel drug modalities for challenging therapeutic targets. Oral delivery of engineered cyclic peptides benefits from ease of administration. However, one of the main hurdles in developing orally effective peptide drugs is their potential metabolic instability due to enzymatic degradation. To that end, <i>in vitro</i> experiments with simulated intestinal fluid (SIF) have been used to assess drug metabolic stability in the gastrointestinal tract. Currently, metabolic stability evaluations and biotransformation assessments are performed separately, which can be time-consuming and result in complex data analysis. Presented here is a sample multiplexing strategy to address these challenges by leveraging a Thermo Scientific Orbitrap Astral mass spectrometer with two complementary analyzers, enabling the simultaneous analysis of metabolic stability from the Orbitrap full scan and biotransformation from the Astral analyzer from one sample injection. Furthermore, we demonstrate that 10 engineered cyclic peptides can be pooled into one sample injection without compromising the data quality to decrease the instrument run time and improve the throughput of the assay.

Journal of the American Society for Mass SpectrometryVol. 36(6)
Merck & Co., Inc., Rahway, NJ, USA (United States) (US), United States Military Academy (US), Thermo Fisher Scientific (Canada) (CA), Thermo Fisher Scientific (United States) (US)
Openalex Percentile: Top 28%
Chemical Synthesis and Analysis
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.