Manganese‐Chelating L‐Serine Nanoarchitectures: Targeting Kidney Injury Molecule‐1 for Reversing Renal Ischemia‐Reperfusion Injury via Senescence Regulation

), we identified Mn-chelating L-serine (L-SerMn) as the optimal nanoarchitecture, displaying robust superoxide dismutase (SOD)- and catalase (CAT)-like activities. Molecular dynamics simulations revealed stronger binding affinity of L-SerMn to Kim-1 compared to free L-serine. In vitro, L-SerMn protected renal tubular epithelial cells from hypoxia/reoxygenation (H/R)-induced damage by functioning as a dual SOD/CAT mimic. In vivo, L-SerMn achieved selective accumulation in injured kidneys via Kim-1-mediated targeting, enabling sustained restoration of redox homeostasis that ameliorated renal pathological injury. Mechanistically, L-SerMn ameliorated renal I/R injury and blocked the acute kidney injury (AKI)-chronic kidney disease (CKD) transition via suppression of cellular senescence, through regulating the JAK2-STAT3 and p53 signaling pathways. This work elegantly integrates coordination chemistry and biomimetic enzymology for the rational design of organ-targeted nanotherapeutics, offering a promising strategy against ischemic diseases.

Authors

Institutions

Publication Details

Journal
Angewandte Chemie International Edition
Published
2026-05-08
DOI
https://doi.org/10.1002/anie.4618875
Primary Topic
Sulfur Compounds in Biology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Manganese‐Chelating L‐Serine Nanoarchitectures: Targeting Kidney Injury Molecule‐1 for Reversing Renal Ischemia‐Reperfusion Injury via Senescence Regulation

Lei Fan, Juqun Xi, Jian Jiang, Huajun Li et al.
Angewandte Chemie International Edition
Sulfur Compounds in Biology
article

Manganese‐Chelating L‐Serine Nanoarchitectures: Targeting Kidney Injury Molecule‐1 for Reversing Renal Ischemia‐Reperfusion Injury via Senescence Regulation

Lei Fan, Juqun Xi, Jian Jiang, Huajun Li, Yisen Wang, Shan Luo, Hua Dai, Gen Wei
article en

Abstract

), we identified Mn-chelating L-serine (L-SerMn) as the optimal nanoarchitecture, displaying robust superoxide dismutase (SOD)- and catalase (CAT)-like activities. Molecular dynamics simulations revealed stronger binding affinity of L-SerMn to Kim-1 compared to free L-serine. In vitro, L-SerMn protected renal tubular epithelial cells from hypoxia/reoxygenation (H/R)-induced damage by functioning as a dual SOD/CAT mimic. In vivo, L-SerMn achieved selective accumulation in injured kidneys via Kim-1-mediated targeting, enabling sustained restoration of redox homeostasis that ameliorated renal pathological injury. Mechanistically, L-SerMn ameliorated renal I/R injury and blocked the acute kidney injury (AKI)-chronic kidney disease (CKD) transition via suppression of cellular senescence, through regulating the JAK2-STAT3 and p53 signaling pathways. This work elegantly integrates coordination chemistry and biomimetic enzymology for the rational design of organ-targeted nanotherapeutics, offering a promising strategy against ischemic diseases.

Angewandte Chemie International Edition
Yangzhou University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province
Good health and well-being
Openalex Percentile: Top 7%
Sulfur Compounds in Biology
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.

Manganese‐Chelating L‐Serine Nanoarchitectures: Targeting Kidney Injury Molecule‐1 for Reversing Renal Ischemia‐Reperfusion Injury via Senescence Regulation — Lei Fan, Juqun Xi, et al. · Angewandte Chemie International Edition (2026) | TGRS Research Map | TGRS