Evidence map›Paper›PMID 42157068›Full record

ReviewJournal of biological engineering2026

Host cell protein impurities in therapeutic proteins: overview of advances in detection, nonconventional removal technologies and immunogenicity assessment.

Sakhr Alhuthali, Syazana Mohamad Pauzi, Cleo Kontoravdi

Abstract readReview
In one paragraph

Review in Journal of biological engineering, 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

3 authors.

Sakhr AlhuthaliChemical and Materials Engineering Department, Faculty of Engineering, King Abdulaziz University, Jeddah, 21589, Saudi Arabia. s.alhuthali15@imperial.ac.uk.
Syazana Mohamad PauziDepartment of Chemical Engineering, Imperial College London, London, SW7 2AZ, UK.
Cleo KontoravdiDepartment of Chemical Engineering, Imperial College London, London, SW7 2AZ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapeutic proteins, particularly monoclonal antibodies, represent a cutting-edge technology for combating chronic illnesses. These biomolecules are produced in cell-based expression systems that generate thousands of impurities, which must be removed through a sequence of chromatographic and filtration steps to ensure drug efficacy and patient safety. Host cell proteins (HCPs) are among the most concerning impurities, due to quantification challenges, their physicochemical diversity, and their potential to affect drug stability and increase immunogenicity. Tracking and removing HCPs remains a perpetual industrial goal and a growing topic of discussion in the biotechnology industry and amongst regulators. In this review, we provide a comprehensive overview of the research about HCPs in biopharmaceutical processes, highlighting gaps in process analytics, process design, and impurity risk assessment. We summarise the challenges and recent progress in HCP detection and quantification, with extensive focus on LC-MS workflows. We next examine methods to reduce HCPs in the upstream process, followed by an overview of emerging purification technologies. Finally, we review some experimental and computational tools for predicting product immunogenicity and optimising manufacturing processes. This review focuses on advances made in the past five years and is intended to support decision-making in therapeutic protein manufacturing.

Indexed as

Cell-derived impuritiesChinese hamster ovary cellsCritical quality attributesHost cell proteinsMonoclonal antibodiesTherapeutic proteins

Identifiers

PMID42157068
PMCPMC13288815

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.