L
Lianjiu Su
Researcher at Wuhan University
Publications - 18
Citations - 1046
Lianjiu Su is an academic researcher from Wuhan University. The author has contributed to research in topics: Medicine & Sepsis. The author has an hindex of 5, co-authored 8 publications receiving 273 citations.
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Journal ArticleDOI
Reactive Oxygen Species-Induced Lipid Peroxidation in Apoptosis, Autophagy, and Ferroptosis.
Lianjiu Su,Jiahao Zhang,Hernando Gomez,Raghavan Murugan,Xing Hong,Dongxue Xu,Fan Jiang,Zhiyong Peng,Zhiyong Peng +8 more
TL;DR: This review discussed how ROS propagate lipid peroxidation chain reactions and how the products of lipidperoxidation initiate apoptosis and autophagy in current models, and summarized lipid per oxidation in pathological conditions of critical illness.
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Pannexin 1 mediates ferroptosis that contributes to renal ischemia/reperfusion injury.
Lianjiu Su,Xiaofang Jiang,Cheng Yang,Jiahao Zhang,Bo Chen,Yiming Li,Shijie Yao,Qin Xie,Hernando Gomez,Raghavan Murugan,Zhiyong Peng,Zhiyong Peng +11 more
TL;DR: It is demonstrated that PANX1 deletion protects against renal IRI by regulating ferroptotic cell death and is a potential therapeutic target for the management of acute kidney injury (AKI) during the perioperative period.
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Mitochondria ROS and mitophagy in acute kidney injury
TL;DR: Recent advances are reviewed in the understanding of the relationship between ROS and mitophagy, the differentMitophagy pathways, the relationships between mitophile and cell death, and the relevance of these processes in the pathogenesis of AKI are reviewed.
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Downregulation of TIMP2 attenuates sepsis-induced AKI through the NF-κb pathway.
TL;DR: The results indicate that TIMP2 plays an important role in mediating sepsis-induced AKI through regulation of NF-κB and suggest a novel target for the treatment of AKI.
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Incidence, Risk factors, and Biomarkers Predicting Ischemic or Hemorrhagic Stroke Associated Acute Kidney Injury and Outcome: A Retrospective Study in a General Intensive Care Unit.
TL;DR: Serum CysC level at ICU admission was an important biomarker for predicting AKI and 28-day mortality, and significant risk factors of stroke-associated AKI were identified among stroke patients in ICU.