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Buyao Zhang

Explore the profile of Buyao Zhang including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 7
Citations 45
Followers 0
Related Specialties
General Medicine
Pharmacology
Biomedical Engineering
Top 10 Co-Authors
Shuangping Zhao
Chenghuan Hu
Mingxia Li
Qinlan Hou
Fuxing Deng
Li Huang
Jing Li
Jiacheng Li
Qinghe Zhuang
Wei Liu
Published In
Ren Fail
Int J Biol Macromol
Biol Proced Online
Eur J Med Chem
Curr Med Res Opin
Affiliations
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Recent Articles
1.
Machine Learning for Predicting Risk and Prognosis of Acute Kidney Disease in Critically Ill Elderly Patients During Hospitalization: Internet-Based and Interpretable Model Study
Li M, Han S, Liang F, Hu C, Zhang B, Hou Q, et al.
J Med Internet Res . 2024 May; 26:e51354. PMID: 38691403
Background: Acute kidney disease (AKD) affects more than half of critically ill elderly patients with acute kidney injury (AKI), which leads to worse short-term outcomes. Objective: We aimed to establish...
2.
METTL3-mediated N6-methyladenosine modification stimulates mitochondrial damage and ferroptosis of kidney tubular epithelial cells following acute kidney injury by modulating the stabilization of MDM2-p53-LMNB1 axis
Hu C, Zhang B, Zhao S
Eur J Med Chem . 2023 Aug; 259:115677. PMID: 37542992
N6-methyladenosine (mA) and MELLT3 assume a role in the development of acute kidney injury (AKI). However, their mechanism in AKI remains under-explored. On this basis, this study explored the mechanism...
3.
Exosomal microRNA-342-5p secreted from adipose-derived mesenchymal stem cells mitigates acute kidney injury in sepsis mice by inhibiting TLR9
Liu W, Hu C, Zhang B, Li M, Deng F, Zhao S
Biol Proced Online . 2023 Apr; 25(1):10. PMID: 37085762
Background: Sepsis-related acute kidney injury (AKI) is an inflammatory disease associated with extremely high mortality and health burden. This study explored the possibility of exosomes secreted by adipose-derived mesenchymal stem...
4.
Development and deployment of interpretable machine-learning model for predicting in-hospital mortality in elderly patients with acute kidney disease
Li M, Zhuang Q, Zhao S, Huang L, Hu C, Zhang B, et al.
Ren Fail . 2022 Nov; 44(1):1886-1896. PMID: 36341895
Background: Acute kidney injury (AKI) is more likely to develop in the elderly admitted to the intensive care unit (ICU). Acute kidney disease (AKD) affects ∼45% of patients with AKI...
5.
Establishment and external validation of an online dynamic nomogram for predicting in-hospital death risk in sepsis-associated acute kidney disease
Li M, Zhao S, Huang L, Hu C, Zhang B, Hou Q
Curr Med Res Opin . 2022 Jul; 38(10):1705-1713. PMID: 35856713
Objectives: Approximately one-third of patients with sepsis-associated acute kidney injury (AKI) progress to acute kidney disease (AKD) with higher short-term mortality. We aimed to identify the clinical characteristics that influence...
6.
Nomogram to predict the risk of septic acute kidney injury in the first 24 h of admission: an analysis of intensive care unit data
Deng F, Peng M, Li J, Chen Y, Zhang B, Zhao S
Ren Fail . 2020 May; 42(1):428-436. PMID: 32401139
Acute kidney injury (AKI) is a significant cause of morbidity and mortality, especially in sepsis patients. Early prediction of AKI can help physicians determine the appropriate intervention, and thus, improve...
7.
Optimization of extraction technology of poly-mannuronic acid to a green delivery system for the water-insoluble pesticide, λ-Cyhalothrin
Zhang B, Yu G, Li J, Liu Y, Zhou Y, Li Y, et al.
Int J Biol Macromol . 2020 Mar; 153:17-25. PMID: 32119948
Poly-mannuronic acids (PMs) have been considered as great biodegradable polymers as a green carrier for the potential pesticide deliver. In this work, the response surface design and microwave-assisted degradation were...