Zobrazeno 1 - 10
of 238
pro vyhledávání: '"SUZHEN WANG"'
Lipoproteins and metabolites in diagnosing and predicting Alzheimer’s disease using machine learning
Autor:
Fenglin Wang, Aimin Wang, Yiming Huang, Wenfeng Gao, Yaqi Xu, Wenjing Zhang, Guiya Guo, Wangchen Song, Yujia Kong, Qinghua Wang, Suzhen Wang, Fuyan Shi
Publikováno v:
Lipids in Health and Disease, Vol 23, Iss 1, Pp 1-12 (2024)
Abstract Background Alzheimer’s disease (AD) is a chronic neurodegenerative disorder that poses a substantial economic burden. The Random forest algorithm is effective in predicting AD; however, the key factors influencing AD onset remain unclear.
Externí odkaz:
https://doaj.org/article/9a54b064bc9448bc960c531bbb9b29a5
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Family with sequence similarity 20, member A (FAM20A) is a pseudo-kinase in the secretory pathway and is essential for enamel formation in humans. Here we examine if FAM20A is a membrane-associated protein. We show that the full-length FAM20
Externí odkaz:
https://doaj.org/article/28e1358a449c4556ab0f17d8a89ead21
Autor:
Xuejie Qi, Xue Yao, Xianzhu Cong, Shuang Li, Mei Han, Zikun Tao, Xi Yang, Xiao Qi, Fuyan Shi, Suzhen Wang
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
Farmers are considered a high-risk group for intentional and unintentional injuries. This review identified significant risk factors for agricultural injuries in farmers and explored injury prevention countermeasures based on the literature. Therefor
Externí odkaz:
https://doaj.org/article/f34c9df5460c49a79beec04a98dc928f
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background Gonorrhea has long been a serious public health problem in mainland China that requires attention, modeling to describe and predict its prevalence patterns can help the government to develop more scientific interventions. Methods
Externí odkaz:
https://doaj.org/article/a686dab7ebf34200a368af90812f4621
Publikováno v:
Frontiers in Psychiatry, Vol 15 (2024)
The aging problem is becoming more and more prominent globally. Attention to the quality of life and related health improvement among the elderly has become an important issue in modern society. This study utilized a tracking survey conducted in 2017
Externí odkaz:
https://doaj.org/article/e4b64a82a63043a28910e5e6d8a0a16b
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
Sustainable economic development is a hot issue in current research, and it is of great significance to analyze the effects of air pollution and population agglomeration on sustainable economic development. This study collects the relevant data relea
Externí odkaz:
https://doaj.org/article/f0f297933a2d4403b349a944e663302f
Publikováno v:
Frontiers in Physiology, Vol 14 (2024)
Upon endoplasmic reticulum (ER) stress, inositol-requiring enzyme 1 (IRE1) is activated, which subsequently converts an unspliced X-box binding protein 1 (XBP1U) mRNA to a spliced mRNA that encodes a potent XBP1S transcription factor. XBP1S is essent
Externí odkaz:
https://doaj.org/article/1eb9e54e55c342da9f76fc15e2aaa8b0
Autor:
Weixiao Bu, Huaxia Mu, Mengyao Gao, Weiqiang Su, Fuyan Shi, Qinghua Wang, Suzhen Wang, Yujia Kong
Publikováno v:
Clinical and Translational Discovery, Vol 3, Iss 6, Pp n/a-n/a (2023)
Abstract Background In recent years, it has become a research focus to accurately extract key genes influencing the occurrence and development of diseases from massive genomic data and study their regulatory mechanisms. Further exploration of these l
Externí odkaz:
https://doaj.org/article/bbe488b3ec5744c48c9d4d305c86c983
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 11 (2023)
N6-Methyladenosine (m6A) methylation is one of the most extremely examined RNA modifications. M6A modification evidently impacts cancer development by effecting RNA metabolism. Long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) are involved in mul
Externí odkaz:
https://doaj.org/article/f497795aa301403d9e7b47c30e5fa68b
Autor:
Wenjing Zhang, Yunfeng Tang, Yuxian Guo, Yujia Kong, Fuyan Shi, Chao Sheng, Suzhen Wang, Qinghua Wang
Publikováno v:
npj Precision Oncology, Vol 6, Iss 1, Pp 1-10 (2022)
Abstract Immune checkpoint inhibitors (ICIs) are most commonly used for melanoma and non-small cell lung cancer (NSCLC) patients. FAT atypical cadherin 1 (FAT1), which frequently mutates in melanoma and NSCLC. In this study, we aim to investigate the
Externí odkaz:
https://doaj.org/article/8801898229764f608a64e00274266c6d