Evidence map›Paper›PMID 35390178›Full record

ArticleClinical pharmacology and therapeutics2022

Applying Modeling and Simulations for Rational Dose Selection of Novel Toll-Like Receptor 7/8 Inhibitor Enpatoran for Indications of High Medical Need.

Lena Klopp-Schulze, Jamie V Shaw, Jennifer Q Dong, Akash Khandelwal, Cristina Vazquez-Mateo, Kosalaram Goteti

Open access · hybridAbstract readClinical Trial, Phase I
In one paragraph

Article in Clinical pharmacology and therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.3field-weighted citation impact, top 5% of its field
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

13 citing papers in PubMed, 17 citations in OpenAlex.

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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 at 3 institutions in 3 countries.

Lena Klopp-SchulzeTranslational Medicine, the healthcare business of Merck KGaA, Darmstadt, Germany.
Jamie V ShawTranslational Medicine, EMD Serono, Billerica, Massachusetts, USA.
Jennifer Q DongTranslational Medicine, EMD Serono, Billerica, Massachusetts, USA.
Akash KhandelwalTranslational Medicine, the healthcare business of Merck KGaA, Darmstadt, Germany.
Cristina Vazquez-MateoTranslational Medicine, EMD Serono, Billerica, Massachusetts, USA.
Kosalaram GotetiTranslational Medicine, EMD Serono, Billerica, Massachusetts, USA.
Merck Serono (Italy) · ITMerck (Germany) · DEOno Pharmaceutical (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dual toll-like receptor (TLR) 7 and TLR8 inhibitor enpatoran is under investigation as a treatment for lupus and coronavirus disease 2019 (COVID-19) pneumonia. Population pharmacokinetic/pharmacodynamic (PopPK/PD) model-based simulations, using PK and PD (inhibition of ex vivo-stimulated interleukin-6 (IL-6) and interferon-α (IFN-α) secretion) data from a phase I study of enpatoran in healthy participants, were leveraged to inform dose selection for lupus and repurposed for accelerated development in COVID-19. A two-compartment PK model was linked to sigmoidal maximum effect (E

Indexed as

COVID-19 Drug TreatmentToll-Like Receptor 7Dose-Response Relationship, DrugHumansInterleukin-6Interleukin-6Toll-Like Receptor 7

Identifiers

PMID35390178
PMCPMC9540480
OpenAlexW4226281378

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.