Na Li

Dr. Na Li


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

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

Representative Publications

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26 April 2024 in The Spine Journal
Verified
Journal Article
Closed access
SNSunqi Nian
Sunqi Nian
YZYayu Zhao
Yayu Zhao
CLChengjin Li
Chengjin Li
KZKang Zhu
Kang Zhu
NLNa Li
Na Li
JCJiayu Chen
Jiayu Chen

23 February 2024 in Journal of Clinical Anesthesia
Verified
Journal Article
Closed access
JXJiajia Xiang
Jiajia Xiang
CCChunyan Cao
Chunyan Cao
JCJiayu Chen
Jiayu Chen
FKFanyi Kong
Fanyi Kong
SNSunqi Nian
Sunqi Nian
NLNa Li
Na Li

1 October 2013 in Brain Research
Verified
Journal Article
Closed access
NLNa Li
Na Li
GLGrewo Lim
Grewo Lim
LCLucy Chen
Lucy Chen
MMMichael F. McCabe
Michael F. McCabe
HKHyangin Kim
Hyangin Kim
JMJianren Mao
Jianren Mao

17 January 2018 in IUBMB Life
Verified
Journal Article
Closed access
PDF file
JCJiayu Chen
Jiayu Chen
HLHanjun Li
Hanjun Li
GLGrewo Lim
Grewo Lim
MMMichael F. McCabe
Michael F. McCabe
WZWei Zhao
Wei Zhao
NLNa Li
Na Li

28 January 2025 in Annals of Vascular Surgery
Verified
Journal Article
Closed access
SNSunqi Nian
Sunqi Nian
KWKui Wang
Kui Wang
JWJiawei Wang
Jiawei Wang
SWSuijian Wang
Suijian Wang
CLChengjin Li
Chengjin Li
JCJiayu Chen
Jiayu Chen

19 August 2024 in Journal of Bone and Joint Surgery
Verified
Journal Article
Open access
SNSunqi Nian
Sunqi Nian
STShaohua Tang
Shaohua Tang
SSShiqian Shen
Shiqian Shen
WYWenqiang Yue
Wenqiang Yue
CZCaiwang Zhao
Caiwang Zhao
JCJiayu Chen
Jiayu Chen
Background: Modic changes (MCs), vertebral end plate and bone marrow damage observed by magnetic resonance imaging, are an independent risk factor for low back pain. The compositions of and interaction between microbiota and metabolites in the lumbar cartilaginous end plates (LCEPs) of patients with MCs have not been identified. Methods: Patients with lumbar disc degeneration who were undergoing lumbar spinal fusion surgery were recruited between April 2020 and April 2021. LCEPs were collected for 16S rRNA sequencing and liquid chromatography-mass spectrometry (LC/MS)-based targeted metabolomic profiling. Of the 54 patients recruited, 24 had no MCs and 30 had changes classified as Modic type 2 or 3. The primary goal was to identify specific genera of microbiota associated with MCs, and secondary goals included investigating differences in metabolites between patients with and without MCs and exploring the correlation between these metabolites and microorganisms. Results: Investigation of the microbiota community structure revealed that both alpha diversity and beta diversity were significantly different between patients with and without MCs, and the abundances of 26 genera were significantly different between these 2 groups. Metabolomic analysis revealed that 26 metabolites were significantly different between the 2 groups. The unsaturated fatty acid pathway was found to be the main pathway related to MCs. Multiomic correlation analysis suggested that Caulobacteraceae (unclassified) and Mycobacterium, Clostridium, Blautia, and Bifidobacterium at the genus level were linked to dysregulation of fatty acid metabolism, contributing to the pathogenesis of MCs. Conclusions: Our study represents a foundational effort to examine the landscape of the microbiota and metabolites in patients with MCs, informing future studies on the pathogenesis of and targeted therapy for MCs. Level of Evidence: Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.