Jinyu Mei

Dr. Jinyu Mei


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2022 in Experimental Neurology
Verified
Journal Article
Closed access
YLYong Li
Yong Li
YCYujie Cheng
Yujie Cheng
YZYuan Zhou
Yuan Zhou
HDHongmei Du
Hongmei Du
CZCui Zhang
Cui Zhang
MCMing Chen
Ming Chen

17 July 2024 in Frontiers in Aging Neuroscience
Verified
Journal Article
Open access
PDF file
BTBorui Tao
Borui Tao
WGWei Gong
Wei Gong
CXChengyuan Xu
Chengyuan Xu
ZMZhihui Ma
Zhihui Ma
JMJinyu Mei
Jinyu Mei
MCMing Chen
Ming Chen
Alzheimer’s disease (AD) is one of the most common neurodegenerative diseases, and the most prevalent form of dementia. The main hallmarks for the diagnosis of AD are extracellular amyloid-beta (Aβ) plaque deposition and intracellular accumulation of highly hyperphosphorylated Tau protein as neurofibrillary tangles. The brain consumes more oxygen than any other organs, so it is more easily to be affected by hypoxia. Hypoxia has long been recognized as one of the possible causes of AD and other neurodegenerative diseases, but the exact mechanism has not been clarified. In this review, we will elucidate the connection between hypoxia-inducible factors-1α and AD, including its contribution to AD and its possible protective effects. Additionally, we will discuss the relationship between oxidative stress and AD as evidence show that oxidative stress acts on AD-related pathogenic factors such as mitochondrial dysfunction, Aβ deposition, inflammation, etc. Currently, there is no cure for AD. Given the close association between hypoxia, oxidative stress, and AD, along with current research on the protective effects of antioxidants against AD, we speculate that antioxidants could be a potential therapeutic approach for AD and worth further study.

1 August 2021 in Nutrition Research
Verified
Journal Article
Closed access
ZCZiyu Chen
Ziyu Chen
CPChen Peng
Chen Peng
JMJinyu Mei
Jinyu Mei
LZLifa Zhu
Lifa Zhu
HKHua Kong
Hua Kong

9 April 2025 in PLOS ONE
Verified
Journal Article
Open access
PDF file
QHQiongyuan Hu
Qiongyuan Hu
SLShuai Lv
Shuai Lv
XWXinyu Wang
Xinyu Wang
PPPeng Pan
Peng Pan
WGWei Gong
Wei Gong
JMJinyu Mei
Jinyu Mei
Background: Head and neck cancer (HNC) becomes a vital global health burden. Accurate assessment of the disease burden plays an essential role in setting health priorities and guiding decision-making. Methods: This study explores data from the Global Burden of Disease (GBD) 2021 study, involving totally 204 countries during the period from 1980 to 2021. The analysis focuses on age-standardized incidence, mortality, and disability-adjusted life years (DALYs) for HNC. A Transformer-based model, HNCP-T, is used for the prediction of future trends from 2022 to 2030, quantified based on the estimated annual percentage change (EAPC). Results: The global age-standardized incidence rate (ASIR) for HNC has escalated between 1980 and 2021, with men bearing a higher burden than women. In addition, the burden rises with age and exhibits regional disparities, with the greatest impact on low-to-middle sociodemographic index (SDI) regions. Additionally, the model predicts a continued rise in ASIR (EAPC = 0.22), while the age-standardized death rate (ASDR) is shown to decrease more sharply for women (EAPC = -0.92) than men (EAPC = –0.54). The most rapid increase in ASIR is projected for low-to-middle SDI countries, while ASDR and DALY rates are found to decrease in different degrees across regions. Conclusions: The current work offers a detailed analysis of the global burden of HNC based on the GBD 2021 dataset and demonstrates the accuracy of the HNCP-T model in predicting future trends. Significant regional and gender-based differences are found, with incidence rates rising, especially among women and in low-middle SDI regions. Furthermore, the results underscore the value of deep learning models in disease burden prediction, which can outperform traditional methods.

31 December 2019 in BioScience Trends
Verified
Journal Article
Open access
PDF file
JMJinyu Mei
Jinyu Mei
HKHua Kong
Hua Kong
ZZZhentao Zhao
Zhentao Zhao
ZCZiyu Chen
Ziyu Chen
YWYatang Wang
Yatang Wang
JYJianming Yang
Jianming Yang
Shufengjiedu capsules (SFJDCs), a traditional Chinese medicine, have been widely used as an antiviral, antibacterial, antitumor, and anti-inflammatory drug. However, the roles of SFJDCs in allergic rhinitis remain unclear. The purpose of this study was to investigate the effects of SFJDCs in olfaction and lung injury in rats with allergic rhinitis. An animal model of allergic rhinitis was created by intraperitoneal injection and intranasal administration of ovalbumin to rats. All rats were divided into seven groups: a model group, a low-dose SFJDC group, a medium-dose SFJDC group, a high-dose SFJDC group, a cetirizine group, and a control group. Hematoxylin and eosin (HE) staining was used to observe pathological changes in rat lung and olfactory epithelium (OE) tissue, and peripheral blood was collected and subjected to an enzyme-linked immunosorbent assay (ELISA) to detect IgE, tumor necrosis factor alpha (TNF-α), and IL-1ꞵ levels. Western blotting, immunohistochemistry staining, and immunofluorescence staining were performed to detect inflammatory cytokines and levels of the autophagy biomarker beclin1 and the apoptosis biomarker cleaeved-caspased3 in lung and OE tissue. ELISA indicated that SFJDCs significantly decreased IgE, TNF-α, and IL-1ꞵ levels in peripheral blood, the lungs, and OE tissue. In addition, Western blotting and staining indicated that SFJDCs repair lung injury, protect against neuronal apoptosis in OE, and rescue impaired autophagy in the lungs and OE tissue. In conclusion, results indicated that SFJDCs might protect against neuronal loss in the OE and lung injury by enhancing autophagy and decreasing apoptosis in rats with allergic rhinitis. Therefore, SFJDCs might serve as an alternative treatment for allergic rhinitis.

1 September 2026 in Sleep and Breathing
Verified
Journal Article
Closed access
PDF file
JMJinyu Mei
Jinyu Mei
PPPeng Pan
Peng Pan
GWGong Wei
Gong Wei
XWXinyu Wang
Xinyu Wang
XXXiaodong Xu
Xiaodong Xu
ZHZhaohui Huang
Zhaohui Huang