Evidence map›Paper›PMID 39850568›Full record

ArticleFrontiers in pharmacology2024

Duvelisib is a novel NFAT inhibitor that mitigates adalimumab-induced immunogenicity.

Aboli Bhingarkar, Yuyin Wang, Keito Hoshitsuki, Katherine Marie Eichinger, Sanjay Rathod, Yin Zhu, He Lyu, Andrew T McNutt, Larry W Moreland, Lee McDermott and 2 more

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

12 authors.

Aboli Bhingarkar *Center for Pharmacogenetics and Department of Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, PA, United States.
Yuyin Wang *Center for Pharmacogenetics and Department of Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, PA, United States.
Keito HoshitsukiCenter for Pharmacogenetics and Department of Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, PA, United States.
Katherine Marie EichingerCenter for Pharmacogenetics and Department of Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, PA, United States.
Sanjay RathodCenter for Pharmacogenetics and Department of Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, PA, United States.
Yin ZhuCenter for Pharmacogenetics and Department of Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, PA, United States.
He LyuCenter for Pharmacogenetics and Department of Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, PA, United States.
Andrew T McNuttDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States.
Larry W MorelandDivision of Rheumatology, School of Medicine, University of Colorado, Aurora, CO, United States.
Lee McDermottDepartment of Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, PA, United States.
David R KoesDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States.
Christian A FernandezCenter for Pharmacogenetics and Department of Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, PA, United States.

Funding

New Methods and Tools for Computational Drug Discovery: Diversity SupplementR35GM140753 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KOES, DAVID RYAN · 2021 to 2025
$2.2M
Improving the disposition of antileukemic asparaginase after drug-induced immunotoxicityR01CA216815 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FERNANDEZ, CHRISTIAN ANTONIO · 2017 to 2021
$1.6M
Mechanistic Study of PEG-asparaginase-Induced Liver InjuryR01DK140079 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Christian Antonio Fernandez · 2024 to 2026
$1.2M
NCI NIH HHS R01 CA216815NIDDK NIH HHS R01 DK140079NIGMS NIH HHS R35 GM140753
6 · The paper itself

Abstract

Introduction: TNFα inhibitor (TNFi) immunogenicity in rheumatoid arthritis (RA) is a major obstacle to its therapeutic effectiveness. Although methotrexate (MTX) can mitigate TNFi immunogenicity, its adverse effects necessitate alternative strategies. Targeting nuclear factor of activated T cells (NFAT) transcription factors may protect against biologic immunogenicity. Therefore, developing a potent NFAT inhibitor to suppress this immunogenicity may offer an alternative to MTX. Methods: We performed a structure-based virtual screen of the NFATC2 crystal structure to identify potential small molecules that could interact with NFATC2. For validation, we investigated the effect of the identified compound on NFAT transcriptional activity, nuclear localization, and binding to the NFAT consensus sequence. Results: We identified duvelisib (DV) as a novel NFATC2 and NFATC1 inhibitor that attenuates NFAT transcriptional activity without inhibiting calcineurin or NFAT nuclear localization. Our results suggest that DV inhibits NFAT independently of PI3K by interfering with nuclear NFAT binding to the NFAT consensus promoter sequence. DV significantly protected mice from adalimumab immunogenicity and attenuated Discussion: DV is a promising NFAT inhibitor that can protect against TNFi immunogenicity without inhibiting calcineurin phosphatase activity. Our results suggest that the future development of DV analogs may be of interest as agents to attenuate unwanted immune responses.

Indexed as

adalimumabantidrug antibodies (ADA)duvelisibmethotrexateNFAT (nuclear factor of activated T cells)rheumatoid arthritis

Identifiers

PMID39850568
PMCPMC11754251

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.