Weihong Lin

Prof. Dr. Weihong Lin

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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10 March 2022 in Frontiers in Neuroscience
Verified
Journal Article
Open access
MCMengtan Cai
Mengtan Cai
WLWeihong Lin
Weihong Lin
The transcriptional regulator nuclear factor kappa B (NF-κB) modulates cellular biological activity by binding to promoter regions in the nucleus and transcribing various protein-coding genes. The NF-κB pathway plays a major role in the expressing genes related to inflammation, including chemokines, interleukins, and tumor necrosis factor. It also transcribes genes that can promote neuronal survival or apoptosis. Epilepsy is one of the most common brain disorders and it not only causes death worldwide but also affects the day-to-day life of affected individuals. While epilepsy has diverse treatment options, there remain patients who are not sensitive to the existing treatment methods. Recent studies have implicated the critical role of NF-κB in epilepsy. It is upregulated in neurons, glial cells, and endothelial cells, due to neuronal loss, glial cell proliferation, blood-brain barrier dysfunction, and hippocampal sclerosis through the glutamate and γ-aminobutyric acid imbalance, ion concentration changes, and other mechanisms. In this review, we summarize the functional changes caused by the upregulation of NF-κB in the central nervous system during different periods after seizures. This review is the first to deconvolute the complicated functions of NF-κB, and speculate that the regulation of NF-κB can be a safe and effective treatment strategy for epilepsy.

2 September 2020 in Food & Function
Verified
Journal Article
Closed access
PDF file
GLGuangjian Li
Guangjian Li
JYJing Yang
Jing Yang
XWXu Wang
Xu Wang
CZChen Zhou
Chen Zhou
XZXiangyu Zheng
Xiangyu Zheng
WLWeihong Lin
Weihong Lin
The aim of this study is to examine the antidepressant-like effect of EGCG and get deeper insights into implications of modulating serotonin (5-HT) in the colon and brain.

9 June 2022 in Frontiers in Immunology
Verified
Journal Article
Open access
RZRui Zhong
Rui Zhong
QCQingling Chen
Qingling Chen
XZXinyue Zhang
Xinyue Zhang
HZHanyu Zhang
Hanyu Zhang
WLWeihong Lin
Weihong Lin
Objective: To investigate the relapse rate and study the factors that may predict the subsequent relapse in anti-NMDAR, anti-GABABR and anti-LGI1 encephalitis in Northeast China. Methods: In the retrospective cohort study, we consecutively enrolled patients with anti-N1MDAR, anti-GABABR and anti-LGI1 encephalitis between March 2015 and November 2021. The patients were followed up for at least 6 months. The outcome variable was a binary variable of relapse or not. Predictors of relapse were identified. Results: A total of 100 patients were enrolled. Relapse occurred in 26 (26%) patients after a median follow-up of 18 months since the first event. The relapse rates of anti - NMDAR, anti - GABABR and anti - LGI1 encephalitis were 25%, 33.3%, and 28.6%, respectively. The multivariable analysis results suggested that immunotherapy delay at the acute phase was independently associated with an increased risk of relapse in total patients (HR = 2.447, 95% CI = 1.027 - 5.832; P = 0.043). Subgroup analysis results showed that antibody titer was associated with the likelihood of relapse in anti-LGI1 encephalitis. The higher the concentration, the more likely it was for patients to have relapse (p=0.019). Conclusion: The general relapse rate of anti-NMDAR, anti-GABABR and anti-LGI1 encephalitis was 26%. The risk of subsequent relapse was elevated in those with delayed immunotherapy in the first episode. In subgroup of anti-LGI1 encephalitis, higher antibody titer was the risk factors of relapse. Thus, timely and aggressive immunotherapy may be beneficial for patients to prevent subsequent relapse.

22 February 2021 in Journal of Neurology
Verified
Journal Article
Closed access
PDF file
RZRui Zhong
Rui Zhong
QCQingling Chen
Qingling Chen
XZXinyue Zhang
Xinyue Zhang
MLMengmeng Li
Mengmeng Li
WLWeihong Lin
Weihong Lin

7 March 2022 in Frontiers in Immunology
Verified
Journal Article
Open access
RZRui Zhong
Rui Zhong
QCQingling Chen
Qingling Chen
XZXinyue Zhang
Xinyue Zhang
HZHanyu Zhang
Hanyu Zhang
WLWeihong Lin
Weihong Lin
Objective: We aimed to investigate the mortality rate and identify the predictors of death in patients with anti-NMDAR, anti-LGI1, and anti-GABABR encephalitis.Methods: Patients with anti-NMDAR, anti-LGI1, and anti-GABABR encephalitis were recruited from the Neurology Department of the First Hospital of Jilin University from March 2015 to November 2021. The primary outcome variable was a binary variable of death vs. survival. The potential risk factors for mortality were evaluated. The mortality rates were determined, and the independent predictors of death were identified using multivariable logistic regression analysis.Results: A total of 100 hospitalized patients with anti-NMDAR, anti-LGI1, or anti-GABABR encephalitis were included in the final analysis. Fifteen patients (15%) died during a median follow-up period of 18 months. The mortality rates were 10% for anti-NMDAR encephalitis, 2.8% for anti-LGI1 encephalitis, and 41.7% for anti-GABABR encephalitis. The multivariable analysis results showed that older age at onset [adjusted odds ratio (OR) = 1.017, 95% confidence interval (CI) = 1.009–1.136; p = 0.023] was independently associated with an increased risk of death. Antibody type was also associated with mortality. Patients with anti-GABABR encephalitis had 13.458-fold greater odds of dying than patients with anti-LGI1 encephalitis (adjusted OR = 13.458, 95% CI = 1.270–142.631; p = 0.031).Conclusion: The general mortality rate of anti-NMDAR, anti-LGI1, and anti-GABABR encephalitis was 15%. Age at onset and type of autoimmune encephalitis antibody were independent predictors of death in these patients.

30 May 2022 in Neurological Sciences
Verified
Journal Article
Closed access
PDF file
YHYujuan Han
Yujuan Han
JYJiaxin Yang
Jiaxin Yang
RZRui Zhong
Rui Zhong
XGXin Guo
Xin Guo
MCMengtan Cai
Mengtan Cai
WLWeihong Lin
Weihong Lin