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Unraveling metabolic complexity of multi-payload PEG-irinotecan prodrug: A deconvolution-based LC-Q-TOF MS approach for preclinical pharmacokinetic characterization
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Shiwen Songc, Mingyang Zhaoa, Xiangrong Songe, Huaidong Yuf, Xin Xua, Dong Suna, Jingkai Gua, b, d
Chinese Chemical Letters | 2026, 37(2) : 112099
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Chinese Chemical Letters | 2026, 37(2): 112099
• Communication •
Unraveling metabolic complexity of multi-payload PEG-irinotecan prodrug: A deconvolution-based LC-Q-TOF MS approach for preclinical pharmacokinetic characterization
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Shiwen Songc, Mingyang Zhaoa, Xiangrong Songe, Huaidong Yuf, Xin Xua, Dong Suna, Jingkai Gua, b, d
Affiliations
  • aResearch Center for Drug Metabolism, School of Life Science, Jilin University, Changchun 130012, China
  • bState Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun 130012, China
  • cSchool of Pharmaceutical Science, Hainan University, Haikou 570100, China
  • dBeijing Institute of Drug Metabolism, Beijing 102209, China
  • eState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China
  • fBeijing GeZhu Biotechnology Co., Ltd., Beijing 102209, China
About Author:

1 These authors contributed equally to this work.

CRediT authorship contribution statement

Shiwen Song: Writing – original draft, Validation, Methodology, Funding acquisition, Formal analysis, Data curation.

Mingyang Zhao: Software, Methodology.

Xiangrong Song: Visualization, Supervision.

Huaidong Yu: Software, Methodology.

Xin Xu: Methodology.

Dong Sun: Writing – review & editing, Validation, Supervision, Project administration, Formal analysis.

Jingkai Gu: Supervision, Funding acquisition, Conceptualization.

Published: 2026-02-15 doi: 10.1016/j.cclet.2025.112099
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PEGylation, the controlled covalent conjugation of polyethylene glycol to therapeutics, enhances therapeutic efficacy through optimized pharmacokinetics. However, to date no high-molecular-weight PEGylated small-molecule prodrugs have received regulatory approval. This technological gap can be partially attributed to the exponential proliferation of metabolic intermediates resulting from multi-payload conjugation strategies, which introduces unprecedented analytical complexities in metabolite profiling and pharmacokinetic characterization. To address this challenge, we developed a liquid chromatography-triple-quadrupole/time-of-flight mass spectrometry platform for PEG20k-(irinotecan)3, a Phase Ⅲ clinical candidate. Our methodology employs payload stoichiometry-based chromatographic resolution for clustering isomeric PEG species. Complementarily, diagnostic product ions at m/z 699.83, 569.27, and 587.28 enable systematic differentiation between double-loaded, single-loaded, and released irinotecan payload. This approach successfully identifies eight metabolic clusters spanning from PEG-conjugates, cleaved PEG segments, and released small-molecule species. Its demonstrated capacity to deconvolute complex metabolic profiles—through payload-stoichiometry based chromatographic resolution coupled with diagnostic ion analysis—positions this workflow as an attractive tool for accelerating the development of PEGylated small-molecule therapeutics.

Pharmacokinetics  /  Multi-payload PEG-prodrug  /  High-molecular-weight PEG  /  LC-Q-TOF MS  /  Payload-based resolution
Shiwen Song, Mingyang Zhao, Xiangrong Song, Huaidong Yu, Xin Xu, Dong Sun, Jingkai Gu. Unraveling metabolic complexity of multi-payload PEG-irinotecan prodrug: A deconvolution-based LC-Q-TOF MS approach for preclinical pharmacokinetic characterization[J]. Chinese Chemical Letters, 2026 , 37 (2) : 112099 - . DOI: 10.1016/j.cclet.2025.112099
PEGylation revolutionizes biologics by enhancing solubility, extending circulation, and reducing immunogenicity through covalent polyethylene glycol (PEG) attachment [1-5]. Clinical development pipelines (ClinicalTrials.gov; Table S1 in Supporting information) of PEGylated small-molecule therapeutics highlight a strong focus on oncology applications, where PEGylation addresses chemotherapeutic challenges including rapid clearance, biodistribution, and systemic toxicity [6, 7]. While PEGylation has achieved limited clinical translation in small-molecule therapeutics, its sole success remains the heptaethylene glycol-conjugated naloxone (Movantik®) [8, 9].
High-molecular-weight (HMW) PEGylation systems (20-60 kDa) present intrinsic pharmacokinetic complexity due to their prodrug nature—regulatory mandates require comprehensive metabolic intermediate profiling (FDA excipient rules and EMA/CPMP/EWP/280/96 Corr1) [10, 11]. To address atom economy, HMW PEGylation systems adopt multi-payload architectures. Asymmetric conjugation or linker integration in such designs necessitates advanced analytical resolution to characterize payload-specific metabolites and corresponding structural isomers, representing critical technical barriers.
PEG20k-(irinotecan)3 emerges as a promising multi-payload HMW PEGylated small-molecule prodrug, currently in Phase Ⅲ trials (NCT06581380). Our preclinical studies demonstrated its enhanced antitumor efficacy and reduced systemic toxicity compared to irinotecan [12]. This engineered construct features 20 kDa linear mPEG covalently linked via an asymmetric oligopeptide linker to three stoichiometric equivalents of irinotecan. Its metabolites comprise three distinct groups: (ⅰ) PEG-conjugates with variable payload stoichiometry and three structural isomers per stoichiometric variant, (ⅱ) cleaved HMW PEG chains, and (ⅲ) released small-molecule species.
Common techniques for quantifying PEGylated pharmaceuticals in biological samples include radiolabeling, fluorescence labeling and enzyme-linked immunosorbent assay (ELISA). However, these methods often lack sensitivity and specificity, making it difficult to distinguish between metabolites of PEG-prodrugs with different payload sums and PEGs of varying molecular weights [13-16].
To address the aforementioned challenges, we developed an integrated liquid chromatography-triple-quadrupole/time-of-flight mass spectrometry (LC-Q-TOF MS) platform for systematic pharmacokinetic profiling of this complex therapeutic. The platform resolves metabolic heterogeneity through payload-driven chromatographic clustering (a strategy we term "payload-based resolution") coupled with MS fragmentation fingerprinting. Our workflow systematically differentiated intact PEG20k-(irinotecan)3 and eight distinct metabolic classes: metabolic intermediate (PEG20k-(irinotecan)x (x = 1, 2); PEG10k-(irinotecan)x (x = 1, 2, 3)), carrier residues (PEG20k and 10k), released payloads (irinotecan and SN38), and glucuronidated metabolites (SN38G).
By correlating payload stoichiometry to signature fragmentation patterns, this platform overcomes longstanding analytical barriers in HMW conjugate characterization, establishing a transformative toolkit for accelerating clinical translation of PEGylated small-molecule therapeutics.
The detailed chromatographic and mass spectrometric conditions are provided in Table S2 (Supporting information). Since PEG20k-(irinotecan)3 and its major PEGylated metabolites share the same specific product ion, achieving chromatographic baseline separation of these PEG-conjugates is crucial for comprehensive pharmacokinetic analysis. We investigated the chromatographic behavior of PEG20k-(irinotecan)3 on high-performance liquid chromatography (HPLC) columns with various stationary phases and pore sizes. The PLRP-S, Agilent 5 TC-C18(2), and Agela Venusil XBP C18 columns all produced ideal peak shapes for PEG20k-(irinotecan)3 (Fig. S1 in Supporting information). The mobile phase was subsequently optimized to establish compatible conditions for both PEG-conjugates and small-molecule metabolites.
As shown in Fig. 1A, the PLRP-S column, with a large pore size (1000 Å), failed to retain small-molecule analytes effectively and produced asymmetric peaks for irinotecan. Isopropyl alcohol and acetonitrile, commonly used organic mobile phases for PEGs or PEGylated therapeutics, did not achieve the desired separation between PEG20k-(irinotecan)3 and PEG20k when combined with either the PLRP-S or Agela Venusil XBP C18 columns [14-21]. This issue was resolved through the use of a methanol-acetonitrile mixture (50/50, v/v) as the organic mobile phase combined with an ultra-pure silica column (Agilent 5 TC-C18(2)). As illustrated in Figs. 1B-D, the gradient elution program successfully separated PEG20k-(irinotecan)3 and PEG20k, with acetonitrile and methanol (50/50, v/v), containing 0.1% formic acid in solvent B, and a 0.1% formic acid aqueous solution in solvent A.
It is important to note that both PEG20k-(irinotecan)2 and PEG20k-(irinotecan)1 consist of three structural isomers due to the asymmetric trivalent linker (Fig. S2 in Supporting information). Under the chromatographic conditions, the isomers of PEG20k-(irinotecan)2 and PEG20k-(irinotecan)1 were grouped respectively. The standards used for their quantification also consist of these three isomers (Fig. S3 in Supporting information).
The fragmentation patterns of irinotecan, PEG20k, and PEG20k-(irinotecan)3 were investigated using the MSALL technique to identify their characteristic fragment ions (Fig. 2). For PEG20k, a series of PEG-associated product ions were observed at m/z 89.06, 133.08, 177.11, 221.14, 265.16, and 309.18, corresponding to fragments with 2 to 7 ethylene oxide subunits. The fragment ion at m/z 177.11 showed the highest intensity at a declustering potential (DP) of 100 V and a collision energy (CE) of 30 eV (Fig. 2B). By comparing the fragmentation spectra of irinotecan (Fig. 2A) and PEG20k-(irinotecan)3 (Fig. 2C), a fragment ion at m/z 569.27, specific to PEGylated irinotecan prodrugs, was identified. This fragment ion results from β-elimination of ester bonds in the PEG-conjugate, with the carboxylic acid on the linker lost as a neutral mass (Fig. 2D). Notably, the core principles of our LC-Q-TOF MS platform—namely, payload-driven chromatographic resolution and diagnostic ion-based deconvolution—suggest potential broad-spectrum applicability across various polymer-drug conjugates (e.g., PEG, PLGA, HPMA) and diverse payload classes. This methodology provides a generalizable framework for addressing system-specific complexities including polymer polydispersity and pharmacokinetic deconvolution. Future studies will focus on explicitly validating this platform for simultaneous analysis of a wider range of polymer-drug conjugates.
The LC-TOF MS strategy was employed to investigate metabolites in rat plasma, with sample preparation details provided in the Supporting information. In addition to the expected metabolites (irinotecan, SN38, SN38G, and PEG20k), three high-molecular-weight (HMW) metabolites (M1, M2, and M3) were detected. As shown in Fig. 3A, the chromatographic peaks of PEG20k-(irinotecan)3 and PEG20k are eluted on either side of the peaks corresponding to metabolites M2 and M3. A gradient elution from 70% to 95% solvent B over 13 min effectively resolved PEG20k-(irinotecan)3 and its metabolites, as demonstrated in Fig. 3B. The optimized retention times were determined as follows: M1 (5.50 min), PEG20k-(irinotecan)3 (6.34 min), M2 (7.56 min), M3 (9.46 min), and PEG20k (12.55 min). Based on polarity considerations, M2 was tentatively assigned as PEG20k-(irinotecan)2, while M3 was proposed to be PEG20k-(irinotecan)1. Supporting evidence from the extracted ion chromatogram of m/z 699.83 (identified as the doubly protonated adduct ion of irinotecan-Gly-Lys-Gly-irinotecan; Fig. 3C) corroborated this assignment. Given the structural asymmetry of the trivalent oligo-peptidyl linker, only PEG20k-(irinotecan)3 and one diastereomer of PEG20k-(irinotecan)2 were found to contain this specific structural motif. The m/z 699.83 signals co-eluted with M1, PEG20k-(irinotecan)3, and M2, but were absent at the retention time of M3 (9.46 min). This observation confirmed that M2 and M3 correspond to PEG20k-(irinotecan)2 and PEG20k-(irinotecan)1, respectively. Authentic standards of both PEG-conjugates were synthesized to unequivocally confirm the identities of M2 and M3. The corresponding mass spectra of PEG20k-(irinotecan)2, PEG20k-(irinotecan)1, SN38, and SN38G are presented in Fig. S4 (Supporting information).
Thus, M1 remains structurally uncharacterized. To elucidate its identity (proposed as PEG10k-(irinotecan)x where x = 1, 2, or 3), we performed alkaline hydrolysis on plasma samples. Specifically, 100 µL of processed plasma was mixed with 100 µL of 9 mmol/L KOH, with aliquots collected at 2-, 4-, and 6-h intervals post-agitation. Hydrolysis abolished chromatographic signals for both M1 and PEG20k-(irinotecan)x (x = 1, 2, 3) (Fig. S5 in Supporting information). Intriguingly, the extracted ion chromatogram for m/z 177.11 revealed two minor peaks at 9.31 and 9.82 min alongside PEG20k (12.55 min) (Fig. 4A). Calibration against PEG standards (Fig. 4B) indicated these species had molecular weights approximating 10 kDa. Crucially, the absence of low-molecular-weight (LMW) PEG degradation products in PEG20k-(irinotecan)3 hydrolyzates (Fig. 4C) confirms PEG10k originated from PEGylated metabolites. The combined evidence of LC polarity shifts and diagnostic MS/MS fragments (m/z 177.11, 569.27, 699.83) strongly supports M1's identity as PEG10k-(irinotecan)x. However, quantitative analysis remains challenging due to unavailability of M1 reference standards and co-elution of PEG10k with PEG20k-(irinotecan)1. Fig. 5 illustrates representative metabolite profiles in 1-h plasma samples, with internal standard chromatograms provided in Fig. S6 (Supporting information).
The method was validated for selectivity, sensitivity (Fig. S7 in Supporting information), linearity (with the calibration curve shown in Table S3 and Fig. S8 in Supporting information), precision, accuracy, carryover, matrix effect, recovery, dilution integrity, and stability. The ethics approval number for this study is HPIACUC2023078. No significant endogenous interference was observed for the analytes or the internal standard. Detailed results on accuracy, precision, recovery, matrix effect, and stability for PEG20k-(irinotecan)3 and its major metabolites are provided in Tables S4-S6 (Supporting information). To address the pharmacokinetic of the prodrug and its metabolites, we performed quantitative analysis of PEG20k-(irinotecan)3 and major metabolites (PEG20k-(irinotecan)2, PEG20K-(irinotecan)1, PEG20k, irinotecan, and SN38) in rat plasma over a 48 h period post-administration [12]. This analysis confirmed prolonged systemic exposure of high-molecular-weight conjugates and payload-driven metabolic progression.
Central to this platform is a deconvolution strategy designed to unravel the inherent complexity of multi-payload PEGylated prodrug metabolism. This approach synergizes two complementary techniques: (1) Chromatographic separation based on payload stoichiometry, which clusters structural isomers, and (2) TOF MS analysis using diagnostic ions (m/z 699.83, 569.27, and 587.28), which enables definitive differentiation between double-loaded, single-loaded, and released irinotecan species. This dual-dimensional resolution is critical for accurately identifying and quantifying the full spectrum of metabolic intermediates, from intact conjugates to cleaved PEG chains and released small molecules.
We established a high-throughput LC-Q-TOF MS platform for concurrent characterization and quantification of HMW and small-molecule metabolites derived from the trivalent PEGylated prodrug PEG20k-(irinotecan)3. Through strategic column selection and gradient elution optimization, this methodology achieves payload stoichiometric variant resolution and structural isomer clustering across PEG-conjugates, demonstrating effective retention, peak symmetry, and baseline separation. Diagnostic product ions at m/z 699.83, 569.27, and 587.28 enable differentiation between double-loaded, single-loaded, and released irinotecan. This workflow enables direct, comprehensive quantitative analysis of PEG20k-(irinotecan)3 and its in vivo metabolites, including PEG20k-(irinotecan)2, PEG20k-(irinotecan)1, PEG20k, PEG10k-(irinotecan)x (x = 1, 2 or 3), PEG10k, irinotecan, SN38, and SN38G. This platform resolves pivotal analytical challenges in characterizing HMW, multi-payload PEG-conjugated small molecules while establishing a standardized preclinical evaluation framework for diverse polymer-drug conjugates, accelerating their clinical advancement.
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Year 2026 volume 37 Issue 2
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doi: 10.1016/j.cclet.2025.112099
  • Receive Date:2025-07-11
  • Online Date:2026-10-29
  • Published:2026-02-15
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  • Received:2025-07-11
  • Revised:2025-11-10
  • Accepted:2025-11-11
Affiliations
    aResearch Center for Drug Metabolism, School of Life Science, Jilin University, Changchun 130012, China
    bState Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun 130012, China
    cSchool of Pharmaceutical Science, Hainan University, Haikou 570100, China
    dBeijing Institute of Drug Metabolism, Beijing 102209, China
    eState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China
    fBeijing GeZhu Biotechnology Co., Ltd., Beijing 102209, China

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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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