Evidence map›Paper›PMID 41951864›Full record

ArticlePharmaceutical research2026

An Innovative Multifaceted Approach to Enhance the Sensitivity of a Target Engagement ELISA.

Nahong Qiu, Alexandra Nitsche, Isabelle Beley, Alessio Maiolica, Jennifer Cunliffe, Julie De Gagné

Abstract read
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
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

6 authors.

Nahong QiuPK Sciences, Translational Medicine, Biomedical Research, Novartis AG, WSJ-350, Basel, CH-4056, Switzerland.
Alexandra NitschePK Sciences, Translational Medicine, Biomedical Research, Novartis AG, WSJ-350, Basel, CH-4056, Switzerland.
Isabelle BeleyPK Sciences, Translational Medicine, Biomedical Research, Novartis AG, WSJ-350, Basel, CH-4056, Switzerland.
Alessio MaiolicaPK Sciences, Translational Medicine, Biomedical Research, Novartis AG, WSJ-350, Basel, CH-4056, Switzerland.
Jennifer CunliffePK Sciences, Translational Medicine, Biomedical Research, Novartis AG, Cambridge, MA, 02139, USA.
Julie De GagnéPK Sciences, Translational Medicine, Biomedical Research, Novartis AG, WSJ-350, Basel, CH-4056, Switzerland. julie.de_gagne@novartis.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Target engagement (TE) assessments often come with bioanalytical challenges, particularly with low baseline level targets like cytokines and chemokines. Commercial immunoassay kits often cannot meet the requirements of sensitivity and drug interference. We present a novel methodology that significantly enhances the sensitivity of a conventional sandwich enzyme-linked immunosorbent assay (ELISA) for TE assessment. To increase sensitivity, various strategies were applied, including the combined use of U-bottomed assay plates and Intelligent Multifunctional Analytical Plates (IMAPlate™). Lowering volumes of enzyme substrate and stop solution in U-bottomed plate led to a concentrated color solution. The unique bottom-less "well" of the IMAPlate™ was utilized to measure the intensified color solution, resulting in a significantly magnified signal. The use of Pluronic

Indexed as

Interleukin-13BiotinEnzyme-Linked Immunosorbent AssayHorseradish PeroxidaseHumansPoloxamerSensitivity and SpecificityStreptavidinBiotinHorseradish PeroxidaseInterleukin-13PoloxamerStreptavidinbioanalytical challengeELISAenhance sensitivityIMAplate™Pluronic® F-127target engagement

Identifiers

PMID41951864
PMCPMC13179255

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.