Evidence map›Paper›PMID 40518584›Full record

ArticleJournal of enzyme inhibition and medicinal chemistry2025

Identification of a novel and high affinity MIF inhibitor

Shang Zhu, Shudan Yang, Yao Chen, Miao-Miao Niu, Jun Wang, Jindong Li, Xuehua Pu

Abstract read
In one paragraph

Article in Journal of enzyme inhibition and medicinal chemistry, 2025. 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

7 authors.

Shang ZhuDepartment of Critical Care Medicine, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Shudan YangDepartment of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing, China.
Yao ChenDepartment of Infection Control and Emergency Department, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Miao-Miao NiuDepartment of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing, China.
Jun WangDepartment of Infection Control and Emergency Department, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Jindong LiInstitute of Clinical Medicine, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Xuehua PuDepartment of Critical Care Medicine, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macrophage migration inhibitory factor (MIF) plays a crucial role in disrupting immune homeostasis and was overexpressed in immune cells. The inhibitors of MIF inhibit the release of inflammatory factors to treat sepsis. Herein, a series of compounds (termed as Hits 1-6) were discovered based on pharmacophore modelling, molecular docking, and interaction analysis. The biaryltriazole inhibitor 3a was used as the positive control. MST and ITC experiments showed that compared to 3a, Hit-1 possessed the highest affinity with MIF. MD simulations exhibited that Hit-1 stably bound to the active pocket of MIF. Pull down experiment showed that Hit-1 could interfere with the binding of MIF to CD74. Furthermore, RT-qPCR demonstrated that Hit-1 suppressed the release of pro-inflammatory cytokines in macrophages including TNF-α, IL-6, and IL-1β. These data demonstrate that Hit-1 may be a promising and high-affinity candidate compound treating sepsis.

Indexed as

Intramolecular OxidoreductasesMacrophage Migration-Inhibitory FactorsMolecular Docking SimulationMolecular Dynamics SimulationAnimalsCytokinesDose-Response Relationship, DrugHumansMiceMolecular StructurePharmacophoreStructure-Activity RelationshipCytokinesIntramolecular OxidoreductasesMacrophage Migration-Inhibitory FactorsMIF protein, humanbiological evaluationMD simulationsMIFmolecular dockingstructure-based pharmacophore modelling

Identifiers

PMID40518584
PMCPMC12172083

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Registered trials

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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.