Zobrazeno 1 - 10
of 15
pro vyhledávání: '"ZHICHUANG LIAN"'
Publikováno v:
Emergency Medicine International, Vol 2024 (2024)
This study explored the molecular mechanism underlying the association of Notch signaling and oxidative stress with the occurrence of pulmonary fibrosis in patients with pigeon breeder’s lung (PBL). Rat models of fibrotic PBL were constructed with
Externí odkaz:
https://doaj.org/article/a21086fe4f1b4a8caec6f3720092528c
Autor:
Ling Zhang, Ayiguli Maitinuer, Zhichuang Lian, Yafang Li, Wei Ding, Wenyi Wang, Chao Wu, Xiaohong Yang
Publikováno v:
BMC Pulmonary Medicine, Vol 22, Iss 1, Pp 1-11 (2022)
Abstract Background Pulmonary tele-rehabilitation can improve adherence to pulmonary rehabilitation. However, there are few reports on home based pulmonary tele-rehabilitation. We assessed the effectiveness of home based pulmonary tele-rehabilitation
Externí odkaz:
https://doaj.org/article/b5a2f48d21d646e09d03fef447e7d7fb
Publikováno v:
Emergency Medicine International, Vol 2021 (2021)
This study analyzed the risk factors for patients with COVID-19 developing severe illnesses and explored the value of applying the logistic model combined with ROC curve analysis to predict the risk of severe illnesses at COVID-19 patients’ admissi
Externí odkaz:
https://doaj.org/article/bcfa8771072541cda8745c9904059472
Autor:
Chao Wu, Wei Ding, Yafang Li, Wenyi Wang, Zhichuang Lian, Xirennayi Muhataer, Yuan Zhou, Qifeng Li, Xiaohong Yang
Publikováno v:
International Archives of Allergy and Immunology. 184:122-131
Introduction: We investigated the molecular mechanism by which B lymphocytes regulate Th1/Th2 imbalance to participate in the pulmonary fibrosis in hypersensitivity pneumonia induced by pigeon shedding in rats. Methods: CD19+ rats and CD19− rats we
Publikováno v:
Emergency Medicine International, Vol 2021 (2021)
Emergency Medicine International
Emergency Medicine International
This study analyzed the risk factors for patients with COVID-19 developing severe illnesses and explored the value of applying the logistic model combined with ROC curve analysis to predict the risk of severe illnesses at COVID-19 patients’ admissi
Autor:
Chao Wu, Lianghua Guo, Xirennayi Muhataer, Qifeng Li, Zhichuang Lian, Yafang Li, Wenyi Wang, Wei Ding, Yuan Zhou, Xiaohong Yang, Muzhi Chen
Publikováno v:
Open Life Sciences. 18
This study examined the effects of the PI3K/AKT pathway and mitochondrial autophagy in macrophages and the leukocyte count after pulmonary infection. Sprague‒Dawley rats were subjected to tracheal injection of lipopolysaccharide (LPS) to establish
Autor:
Yafang Li, Zhichuang Lian, Qifeng Li, Wei Ding, Wenyi Wang, Ling Zhang, Xirennayi Muhataer, Yuan Zhou, Xiaohong Yang, Chao Wu
Publikováno v:
Open Medicine. 18
This study investigated the molecular mechanisms underlying the involvement of the Notch signaling pathway and autophagy in the development of pulmonary fibrosis in pigeon breeder’s lung (PBL). Rats were divided into control (Ctrl), PBL model (M),
Publikováno v:
International archives of allergy and immunology. 182(11)
Background: The pathogenesis and pulmonary histopathological characteristics of hypersensitivity pneumonitis (HP) are not yet fully understood. Therefore, we established animal models of HP of different stages, aiming to provide support for research
Autor:
Dan Luo, Yafang Li, Xiaohong Yang, Wenyi Wang, Mingqin Deng, Rong Jin, Chao Wu, Zhichuang Lian, Xirennayi Muhataer
Publikováno v:
Molecular Medicine Reports
The present study aimed to investigate the association between gene methylation and leukocytopenia from the perspective of gene regulation. A total of 30 patients confirmed as having post-infection leukocytopenia at People's Hospital of Xinjiang Uygu
Publikováno v:
Mathematics, Vol 12, Iss 11, p 1769 (2024)
In order to resist the security risks caused by quantum computing, post-quantum cryptography (PQC) has been a research focus. Constructing a key encapsulation mechanism (KEM) based on lattices is one of the promising PQC routines. The algebraically s
Externí odkaz:
https://doaj.org/article/999a97f8003a4525961be7ffe36605bf