Evidence map›Paper›PMID 42829521›Full record

ArticleDrug design, development and therapy2026

Simultaneous Quantification of Vedolizumab, Ustekinumab, and Infliximab in Human Serum by LC-MS/MS: Application to Therapeutic Drug Monitoring in Inflammatory Bowel Disease.

Yanbao Zhang, Na Wang, Weiyang Zheng, Ruichen Liu, Limei Li, Xianglong Zhao, Xin Zheng, Xiaohong Han

Abstract read
In one paragraph

Article in Drug design, development and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yanbao Zhang *Clinical Pharmacology Research Center, Beijing Key Laboratory of Key Technologies for Early Clinical Trial Evaluation of Innovative Drugs for Major Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.
Na Wang *Clinical Pharmacology Research Center, Beijing Key Laboratory of Key Technologies for Early Clinical Trial Evaluation of Innovative Drugs for Major Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.
Weiyang ZhengDepartment of Gastroenterology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Ruichen LiuApplication Engineering Department, SCIEX Analytical Instrument Trading Co., LTD, Beijing, People's Republic of China.
Limei LiClinical Pharmacology Research Center, Beijing Key Laboratory of Key Technologies for Early Clinical Trial Evaluation of Innovative Drugs for Major Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.
Xianglong ZhaoApplication Engineering Department, SCIEX Analytical Instrument Trading Co., LTD, Beijing, People's Republic of China.
Xin ZhengClinical Pharmacology Research Center, Beijing Key Laboratory of Key Technologies for Early Clinical Trial Evaluation of Innovative Drugs for Major Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.
Xiaohong HanClinical Pharmacology Research Center, Beijing Key Laboratory of Key Technologies for Early Clinical Trial Evaluation of Innovative Drugs for Major Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: With the expanding use of therapeutic monoclonal antibodies (mAbs) in inflammatory bowel disease (IBD), there is a critical need for robust, multiplex analytical tools to support therapeutic drug monitoring (TDM) and pharmacokinetic studies. This study aimed to develop and validate a rapid and sensitive liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the simultaneous quantification of infliximab (IFX), vedolizumab (VDZ), and ustekinumab (UST) in human serum. Patients and Methods: A universal immunocapture strategy utilizing Protein G magnetic beads was used to enrich total IgG from human serum. Samples were subjected to tryptic digestion and analyzed in multiple reaction monitoring (MRM) mode, with rituximab as a full-process internal standard. Method validation was performed in accordance with regulatory guidelines, evaluating linearity, precision, accuracy, selectivity, recovery, matrix effect, and stability. The validated method was subsequently applied to residual serum samples from IBD patients undergoing treatment. Results: The method demonstrated excellent linearity (R Conclusion: The developed LC-MS/MS method provides a practical, specific, and reproducible tool for the multiplex quantification of therapeutic mAbs. Based on a preliminary exploratory study of 37 patient samples, this method demonstrates analytical feasibility and serves as a promising tool for pharmacokinetic research; however, its definitive clinical applicability and readiness for routine TDM require further confirmation through cross-platform comparison, incurred sample reanalysis, and external validation in larger cohorts.

Indexed as

Antibodies, Monoclonal, HumanizedDrug MonitoringInflammatory Bowel DiseasesInfliximabUstekinumabChromatography, LiquidHumansLiquid Chromatography-Mass SpectrometryTandem Mass SpectrometryAntibodies, Monoclonal, HumanizedInfliximabUstekinumabvedolizumabinflammatory bowel diseaseLC-MS/MSmonoclonal antibodiesprotein G immunocapturetherapeutic drug monitoring

Identifiers

PMID42829521
PMCPMC13633463

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.