ReviewmAbs2026
Setting expectations for current and future directions of native mass spectrometry in the biopharmaceutical industry.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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.