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Astrocytic NLRP3 cKO mitigates depression-like behaviors induced by mild TBI in mice.
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High BMP7 Expression May Worsen Airway Disease in COPD by Altering Epithelial Cell Behavior
Published 2025-01-01“…Wenyan Dong,1,* Mengshuang Xie,2,* Chunjie Ming,3 Haijun Li,2 Xia Xu,2 Liwei Cui,4 Wei Wang,5 Yi Li6 1Department of General Practice, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China; 2Department of Geriatric Medicine, Laboratory of Gerontology and Anti-aging Research, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China; 3National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China; 4Department of Pulmonary and Critical Care Medicine, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China; 5Medical Integration and Practice Center, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China; 6Department of Obstetrics and Gynecology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China*These authors contributed equally to this workCorrespondence: Wei Wang; Yi Li, Email styw28@163.com; 202062009073@email.sdu.edu.cnPurpose: Airway disease is the main pathological basis of chronic obstructive pulmonary disease (COPD), but the underlying mechanisms are unknown. …”
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Importance and fitness of family medicine milestone project from America to Taiwan
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Glycated Serum Protein Genetics and Pleiotropy with Cardiometabolic Risk Factors
Published 2019-01-01Get full text
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Meta-analysis on the chronic effects of exercise on depression in older adults
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Prediction of Acute Kidney Injury for Critically Ill Cardiogenic Shock Patients with Machine Learning Algorithms
Published 2025-01-01“…Xiaofei Zhang,1,* Yonghong Xiong,2,* Huilan Liu,3 Qian Liu,4 Shubin Chen5 1Department of Gerontology, China Aerospace Science & Industry Corporation 731 hospital, Beijing, People’s Republic of China; 2Department of Cardiology, Beijing Feng Tai Hospital, Beijing, People’s Republic of China; 3Department of Nephrology, Zhongnan Hospital of Wuhan University, Wuhan, People’s Republic of China; 4Department of Cardiology, Wuhan Children’s Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, People’s Republic of China; 5Department of Intensive Care Unit, China Aerospace Science & Industry Corporation 731 hospital, Beijing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Qian Liu, Department of Cardiology, Wuhan Children’s Hospital, Tongji Medical College, Huazhong University of Science & Technology, No. 100 of Xianggang Road, Jiangan District, Wuhan, 430015, People’s Republic of China, Tel +86027-82433350, Email qian_liu1124@126.com Shubin Chen, Department of Intensive Care Unit, China Aerospace Science & Industry Corporation 731 hospital, No. 3 Zhen Gang Nan Li, Yun Gang Town, Feng Tai District, Beijing, 100074, People’s Republic of China, Tel +86010-68374065, Email 18610074016@163.comBackground: The aim of this study was to use five machine learning approaches and logistic regression to design and validate the acute kidney injury (AKI) prediction model for critically ill individuals with cardiogenic shock (CS).Methods: All patients who diagnosed with CS from the MIMIC-IV database, the eICU database, and Zhongnan hospital of Wuhan university were included in this study. …”
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Genome-wide association analysis of composite sleep health scores in 413,904 individuals
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