Evidence map›Paper›PMID 39189237›Full record

ArticleAntibodies (Basel, Switzerland)2024

Enhanced N-Glycan Profiling of Therapeutic Monoclonal Antibodies through the Application of Upper-Hinge Middle-Up Level LC-HRMS Analysis.

Natalia Mesonzhnik, Anton Belushenko, Polina Novikova, Alexey Kukharenko, Mikhail Afonin

Abstract read
In one paragraph

Article in Antibodies (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

5 authors.

Natalia MesonzhnikResource Centre of Analytical Methods, Laboratory Complex, Sirius University of Science and Technology, Olympic Ave. 1, 354340 Sochi, Russia.ORCID 0000-0001-8860-5853
Anton BelushenkoFederal Hygienic and Epidemiological Center of Rospotrebnadzor, Varshavskoe Highway 19a, 117105 Moscow, Russia.ORCID 0000-0003-4656-7187
Polina NovikovaResource Centre of Analytical Methods, Laboratory Complex, Sirius University of Science and Technology, Olympic Ave. 1, 354340 Sochi, Russia.
Alexey KukharenkoLaboratory of Pharmacokinetics and Metabolomic Analysis, Institute of Translational Medicine and Biotechnology, I.M. Sechenov First Moscow Medical University, 8/2 Trubetskaya, 119991 Moscow, Russia.ORCID 0000-0002-2416-6377
Mikhail AfoninResource Centre of Analytical Methods, Laboratory Complex, Sirius University of Science and Technology, Olympic Ave. 1, 354340 Sochi, Russia.ORCID 0009-0003-4886-8538

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapeutic monoclonal antibodies (mAbs) are crucial in modern medicine due to their effectiveness in treating various diseases. However, the structural complexity of mAbs, particularly their glycosylation patterns, presents challenges for quality control and biosimilarity assessment. This study explores the use of upper-hinge middle-up (UHMU)-level ultra-high-performance liquid chromatography-high-resolution mass spectrometry (LC-HRMS) analysis to improve N-glycan profiling of mAbs. Two specific enzymes, known as IgG degradation enzymes (IGDEs), were used to selectively cleave therapeutic mAbs above the hinge region to separate antibody subunits for further Fc glycan analysis by means of the UHMU/LC-HRMS workflow. The complexity of the mass spectra of IGDEs-digested mAbs was significantly reduced compared to the intact MS level, enabling reliable assignment and relative quantitation of paired Fc glycoforms. The results of the UHMU/LC-HRMS analysis of nine approved therapeutics highlight the significance of this approach for in-depth glycoform profiling.

Indexed as

enzymesgingipain KIdeSIgdEintact MSLC-HRMSmAbmiddle-upN-glycosylation

Identifiers

PMID39189237
PMCPMC11348383

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Registered trials

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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.