Feng Zhao

Dr. Feng Zhao


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

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

Representative Publications

View All Publications
19 September 2024 in Journal of Cellular and Molecular Medicine
Verified
Journal Article
Open access
YHYuhong He
Yuhong He
KWKe Wang
Ke Wang
NSNiri Su
Niri Su
CYchongshan yuan
chongshan yuan
NZNaisheng Zhang
Naisheng Zhang
FZFeng Zhao
Feng Zhao
Along with mounting evidence that gut microbiota and their metabolites migrate endogenously to distal organs, the ‘gut–lung axis,’ ‘gut–brain axis,’ ‘gut–liver axis’ and ‘gut–renal axis’ have been established. Multiple animal recent studies have demonstrated gut microbiota may also be a key susceptibility factor for neurological disorders such as Alzheimer's disease, Parkinson's disease and autism. The gastrointestinal tract is innervated by the extrinsic sympathetic and vagal nerves and the intrinsic enteric nervous system, and the gut microbiota interacts with the nervous system to maintain homeostatic balance in the host gut. A total of 1507 publications on the interactions between the gut microbiota, the gut–brain axis and neurological disorders are retrieved from the Web of Science to investigate the interactions between the gut microbiota and the nervous system and the underlying mechanisms involved in normal and disease states. We provide a comprehensive overview of the effects of the gut microbiota and its metabolites on nervous system function and neurotransmitter secretion, as well as alterations in the gut microbiota in neurological disorders, to provide a basis for the possibility of targeting the gut microbiota as a therapeutic agent for neurological disorders.

10 January 2024 in The FASEB Journal
Verified
Journal Article
Closed access
ZHZhaoqi He
Zhaoqi He
WLWenjia Li
Wenjia Li
WYWeijie Yuan
Weijie Yuan
FZFeng Zhao
Feng Zhao
JXJiawen Xu
Jiawen Xu
XHXiaoyu Hu
Xiaoyu Hu

5 January 2026 in Frontiers in Public Health
Verified
Journal Article
Open access
PDF file
WHWeiwei Huang
Weiwei Huang
YXYan Xing
Yan Xing
FZFeng Zhao
Feng Zhao
YWYingying Wang
Yingying Wang
Chronic understaffing, workplace violence, moral distress, rotating shifts, and administrative burdens have created a global mental health crisis for nurses. Around half to two-thirds of nurses report symptoms of burnout, and large surveys have found high levels of depression and anxiety among nursing staff. The COVID-19 pandemic exacerbated these issues, increasing absenteeism, turnover, and error rates. Barriers to care—such as stigma, cost, and limited access in rural areas—mean that many nurses remain untreated. Digital mental health interventions (DMHIs) offer scalable, flexible, and often anonymous support tailored to nurses’ schedules and risks. These include teletherapy platforms, AI-driven chatbots and support systems, mobile mental health apps, and hybrid digital-human models. Recent studies (2020–2025) suggest DMHIs can reduce anxiety, depression, and burnout while improving resilience, job satisfaction, and retention. However, obstacles such as unequal access, variable digital literacy, privacy concerns, and limited long-term evidence slow adoption. This review synthesizes current research on DMHI types and efficacy, and examines factors affecting their accessibility and integration into nursing practice. We also discuss cultural and ethical considerations and strategies for involving nurses in designing these tools. Our analysis identifies gaps and opportunities for developing nurse-centered digital mental health solutions that strengthen the workforce and improve patient care.