Evidence map›Paper›PMID 42086871›Full record

ArticlePharmaceutical research2026

A Cell-Based Reporter Gene Assay for TNF-α Neutralization: Analytical Qualification and Application to Adalimumab and Its Biosimilars.

Christelle Anne F Ancajas, Shen Luo, Baolin Zhang

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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.

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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

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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.

Christelle Anne F AncajasOffice of Pharmaceutical Quality Research, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, 20993, USA. christelleanne.ancajas@fda.hhs.gov.
Shen LuoOffice of Pharmaceutical Quality Research, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, 20993, USA.
Baolin ZhangOffice of Pharmaceutical Quality Research, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, 20993, USA. usdaddy2@hotmail.com.ORCID http://orcid.org/0000-0002-7859-0843

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo qualify a mechanism-of-action (MoA)-reflective reporter gene assay (RGA) for measuring the biological activity of adalimumab (Humira) and its biosimilars, supporting assessment of product quality, comparability, and functional consistency across the product lifecycle.

methodsThe assay evaluates TNF-α neutralization by monitoring inhibition of NF-κB signaling in a reporter system. Qualification focused on key performance attributes, including system suitability, working range, reproducibility, and intermediate precision, to confirm fitness for routine use.

resultsThe RGA yielded MoA-relevant readouts of NF-κB pathway inhibition in the presence of adalimumab, demonstrating strong system suitability, a broad working range, high reproducibility, and consistent intermediate precision across repeated measures. These characteristics support reliable measurement of functional activity among adalimumab products and biosimilars.

conclusionsThe qualified, MoA-reflective RGA provides a robust tool for lifecycle management of adalimumab products, enabling quality assessment, comparability exercises, and monitoring of functional consistency across indications in which adalimumab is broadly used (e.g., rheumatoid arthritis, Crohn's disease, psoriasis).

Indexed as

AdalimumabBiosimilar PharmaceuticalsGenes, ReporterTumor Necrosis Factor-alphaBiological AssayHumansNF-kappa BReproducibility of ResultsSignal TransductionAdalimumabBiosimilar PharmaceuticalsNF-kappa BTumor Necrosis Factor-alphaadalimumab (Humira)bioassay qualificationreporter gene assayTNF-α neutralization

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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.