Discovery and Structure–Activity Relationship Studies of Diazepine Derivatives as a New Class of Ferroptosis Inhibitors with Potent Efficacy in the Doxorubicin-Induced Cardiomyopathy Model

Ferroptosis, a regulated form of cell death driven by iron-dependent lipid peroxidation, contributes to diverse pathological conditions. However, the clinical translation of ferroptosis inhibitors has been hampered by the limited efficacy or suboptimal pharmacokinetic profiles. Here, we report the discovery of diazepine derivatives as a new structural class of ferroptosis inhibitors. Through systematic structure-activity relationship optimization, we identified <b>YL3147</b> as the most potent analogue, demonstrating exceptional cellular potency with an EC<sub>5</sub><sub>0</sub> of 0.8 nM. Mechanistically, <b>YL3147</b> functions as a radical-trapping antioxidant, directly halting the propagation of lipid peroxidation and thereby blocking ferroptosis. This compound also exhibits favorable drug-like pharmacokinetic properties. In vivo, <b>YL3147</b> provided substantial protection against doxorubicin-induced cardiomyopathy in both acute and chronic murine models, with no detectable toxicity. Together, these findings establish <b>YL3147</b> as a promising lead compound for the treatment of ferroptosis-related diseases, warranting further preclinical development.

Authors

Institutions

Publication Details

Journal
Journal of Medicinal Chemistry
Published
2026-01-30
DOI
https://doi.org/10.1021/acs.jmedchem.5c02855
Primary Topic
Ferroptosis and cancer prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Discovery and Structure–Activity Relationship Studies of Diazepine Derivatives as a New Class of Ferroptosis Inhibitors with Potent Efficacy in the Doxorubicin-Induced Cardiomyopathy Model

Xia Yang, Linli Li, Jing You, Lu Yang et al.
Journal of Medicinal Chemistry
Ferroptosis and cancer prognosis
article

Discovery and Structure–Activity Relationship Studies of Diazepine Derivatives as a New Class of Ferroptosis Inhibitors with Potent Efficacy in the Doxorubicin-Induced Cardiomyopathy Model

Xia Yang, Linli Li, Jing You, Lu Yang, Mingli Xiang, Chenyu Tian, Yaru Qin
article en

Abstract

Ferroptosis, a regulated form of cell death driven by iron-dependent lipid peroxidation, contributes to diverse pathological conditions. However, the clinical translation of ferroptosis inhibitors has been hampered by the limited efficacy or suboptimal pharmacokinetic profiles. Here, we report the discovery of diazepine derivatives as a new structural class of ferroptosis inhibitors. Through systematic structure-activity relationship optimization, we identified <b>YL3147</b> as the most potent analogue, demonstrating exceptional cellular potency with an EC<sub>5</sub><sub>0</sub> of 0.8 nM. Mechanistically, <b>YL3147</b> functions as a radical-trapping antioxidant, directly halting the propagation of lipid peroxidation and thereby blocking ferroptosis. This compound also exhibits favorable drug-like pharmacokinetic properties. In vivo, <b>YL3147</b> provided substantial protection against doxorubicin-induced cardiomyopathy in both acute and chronic murine models, with no detectable toxicity. Together, these findings establish <b>YL3147</b> as a promising lead compound for the treatment of ferroptosis-related diseases, warranting further preclinical development.

Journal of Medicinal ChemistryVol. 69(3)
Cornerstone University (US), Sichuan University (CN), Ministry of Education (KR), State Key Laboratory of Biotherapy
Good health and well-being
Openalex Percentile: Top 72%
Ferroptosis and cancer prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.