Evidence map›Paper›PMID 42581258›Full record

ArticlePharmaceutical research2026

Electrostatic Interactions Guide the Detrimental Effect of Oleic Acid on Monoclonal Antibody Stability.

Jiayi He, Jing Song, Jingtao Zhang, Katelyn J Smith

Abstract read
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In one paragraph

Article in Pharmaceutical research, 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
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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

4 authors.

Jiayi He *Analytical Enabling Capabilities, Pharmaceutical Analysis & Digital Technologies, Merck & Co., Inc., Rahway, NJ, 07065, USA.
Jing Song *Analytical Enabling Capabilities, Pharmaceutical Analysis & Digital Technologies, Merck & Co., Inc., Rahway, NJ, 07065, USA. jing.song1@merck.com.ORCID http://orcid.org/0009-0000-7535-1399
Jingtao ZhangAnalytical Enabling Capabilities, Pharmaceutical Analysis & Digital Technologies, Merck & Co., Inc., Rahway, NJ, 07065, USA.
Katelyn J SmithAnalytical Enabling Capabilities, Pharmaceutical Analysis & Digital Technologies, Merck & Co., Inc., Rahway, NJ, 07065, USA. Katelyn.smith@merck.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PURPOSE OR

objectiveTo investigate how polysorbate 80 (PS-80) hydrolysis byproducts, especially oleic acid, affect monoclonal antibody (mAb) stability and contribute to protein particle formation.

methodsThe study evaluated oleic acid-associated protein particle formation using microflow imaging (MFI), Scanning Electron Microscopy-Energy Dispersive X-ray spectroscopy (SEM-EDX), field-flow fractionation (FFF), and Fourier Transform Infrared (FT-IR) particle characterization. The proposed electrostatic interaction mechanism was examined by varying ionic strength with saline and arginine, adjusting pH, and considering mAb isoelectric points.

resultsOleic acid was associated with the formation of proteinaceous particles. The data supported the idea that oleic acid induces mAb aggregation through electrostatic interactions. Oleic acid-induced protein aggregate formation was reversible in the presence of additional salt, suggesting that increased ionic strength disrupts the charged interactions driving aggregation.

conclusionsPS-80 degradation byproducts, particularly oleic acid, can promote reversible mAb aggregation and particle formation through electrostatic interactions. These findings improve understanding of particle formation in protein formulations and may help guide buffer selection, ionic strength, pH optimization, and prediction of stability in intravenous solutions such as saline.

Indexed as

AggregationFree fatty acidsMabProteinaceous particlePS80Solubility

Identifiers

PMID42581258

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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.