Evidence map›Paper›PMID 42453072›Full record

ReviewmAbs2026

Setting expectations for current and future directions of native mass spectrometry in the biopharmaceutical industry.

Elizabeth Hecht, Esther Martin, Idlir Liko, Andrew Mahan, Aniruddha Sahasrabuddhe, Nastaran N Tajoddin, Iain D G Campuzano

Abstract readReview
In one paragraph

Review in mAbs, 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
–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

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

7 authors.

Elizabeth HechtBiologics Engineering with Advanced Mass Spectrometry, Amgen, South San Francisco, CA, USA.
Esther MartinBiologics Engineering, AstraZeneca, Cambridge, UK.
Idlir LikoGenerative Biology Institute, Ellison Institute of Technology, Oxford, UK.
Andrew MahanCell Engineering and Analytical Sciences, Johnson & Johnson, Spring House, PA, USA.
Aniruddha SahasrabuddheBiologics Engineering with Advanced Mass Spectrometry, Amgen, Thousand Oaks, CA, USA.
Nastaran N TajoddinBiologics Engineering with Advanced Mass Spectrometry, Amgen, Burnaby, BC, Canada.
Iain D G CampuzanoBiologics Engineering with Advanced Mass Spectrometry, Amgen, Thousand Oaks, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While native mass spectrometry (native-MS) has been widely explored in academic laboratories, its practical role within biopharmaceutical research remains less clearly defined. In this perspective, we present an industry-driven view of how native-MS is currently applied, where it offers unique advantages over established analytical technologies, and where alternative methods remain more practical for routine characterization. Within biopharma workflows, characterization strategies traditionally rely on orthogonal techniques such as size-exclusion chromatography (SEC), ion-exchange chromatography (IEX), electrophoresis, light scattering, calorimetry, and denaturing liquid chromatography (LC) MS. Native-MS complements these methods by enabling direct assessment of intact molecular assemblies, including monoclonal antibodies (mAbs), multispecific antibodies, antibody-drug conjugates (ADCs), glycoproteins, and protein complexes. Applications include evaluation of higher-order assembly, ligand or cofactor binding, stoichiometry of target complexes, and heterogeneity that may be obscured under denaturing conditions. However, challenges related to throughput, sensitivity, automation, and accessibility have limited widespread adoption in industrial laboratories. Emerging developments, including chromatographic hyphenation, online buffer exchange (OBE), improved automation, and charge-detection MS (CDMS), are beginning to address these constraints. We argue that the future impact of native-MS in biopharma will depend on integrating these technological advances with platformed analytical workflows and software capable of supporting high-throughput characterization across therapeutic pipelines. We hope that the ideas raised in this article spur debate on when, how, and if native-MS would or should see increased adoption.

Indexed as

Antibodies, MonoclonalDrug IndustryImmunoconjugatesMass SpectrometryAnimalsHumansLiquid Chromatography-Mass SpectrometryAntibodies, MonoclonalImmunoconjugatesAntibodiesbiopharmaintact analysisnative mass spectrometry

Identifiers

PMID42453072
PMCPMC13374778

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.