Lun Dong

Dr. Lun Dong


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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25 February 2022 in Bioengineered
Verified
Journal Article
Open access
YPYunlong Pei
Yunlong Pei
HZHongying Zhang
Hongying Zhang
KLKongye Lu
Kongye Lu
XTXiaojia Tang
Xiaojia Tang
JLJialing Li
Jialing Li
LDLun Dong
Lun Dong
Glioma, one of the most prevalent malignant tumors, is well-known for its poor prognosis and low survival rate among patients. As a type of non-coding RNA, circular RNAs (circRNAs) play a significant role in tumor progression. However, the function and role of circRNAs in glioma development remain unclarified. In our experiments, the relative expression level of circRNA_0067934 and miR-7 in glioma tissue was detected by qRT-PCR, and specific gene knockdown was mediated by siRNA and miRNA-inhibitor. Dual-luciferase reporter assay was carried out to determine whether miR-7 successfully targeted circRNA_0067934. Also, CCK-8 and Transwell were performed to evaluate the malignant behaviors of glioma tissues. Western blotting and immunofluorescence were used to evaluate relative protein expression levels. The results of qRT-PCR indicated that circRNA_0067934 was over-expressed in glioma tissues, and down regulation of circRNA_0067934 reduced the tumor progression by inhibiting cell proliferation, invasion, and migration. The relative expression level of miR-7 was significantly reduced in glioma tissues, which showed a negative association with the expression of circRNA_0067934. CircRNA_0067934 could tagete the miR-7 to regulate progression of glioma cell. In addition, the Wnt/β-catenin signaling pathway might involve in down stream regulation of circRNA_0067934 and miR-7. In conclusion, our results revealed that circRNA_0067934 regulates glioma cells progression by targeting miR-7/ Wnt/β-catenin axis. Graphical Abstract

4 December 2020 in Experimental and Therapeutic Medicine
Verified
Journal Article
Open access
PDF file
HWHai-Li Wang
Hai-Li Wang
JZJun Zhang
Jun Zhang
YLYu-Ping Li
Yu-Ping Li
LDLun Dong
Lun Dong
YCYingzhu Chen
Yingzhu Chen
The aim of the present study was to assess the efficacy and safety of glutathione (GSH) for the treatment of Parkinson's disease (PD). The PubMed, Cochrane Library, OvidSP, Web of Science, China Science and Technology Journal Database, Chinese National Knowledge Infrastructure and China Wanfang Standards Database databases were systematically searched from the inception dates to October 1st, 2019, using the key words‘glutathione’ or ‘GSH’ and ‘Parkinson’ or ‘Parkinson's disease’ or ‘PD’. The quality of the included articles was assessed using the bias risk assessment tool of the Cochrane systematic evaluator manual (version 5.1.0). Pooled analysis of the relevant data was performed using RevMan 5.3 software and subgroup analysis was performed to determine the impact of the dosage (300 vs. 600 mg) on the outcome measures. A total of seven randomized controlled trials involving 450 participants were included in the meta‑analysis. The results of the present study indicated a statistically significant difference between the GSH and control groups, in terms of the Unified Parkinson's Disease Rating Scale (UPDRS) III [standard mean difference (SMD), ‑0.48; 95% CI, ‑(0.88‑0.08); P=0.02] and GSH peroxidase (SMD, 1.88; 95% CI, 0.52‑3.24; P=0.007). However, the differences in the UPDRS I (SMD, ‑0.04; 95% CI, ‑0.25‑0.16; P=0.70) and UPDRS II (SMD, 0.03; 95% CI, ‑0.17‑0.24; P=0.77) score and in side effects were not statistically significant between the groups. Subgroup analyses revealed that the dosage (300 vs. 600 mg) was an influencing factor for UPDRS III. The present study demonstrated that GSH may mildly improve motor scores in PD, but not at the expense of increased adverse events.

17 May 2022 in Clinical Neurology and Neurosurgery
Verified
Journal Article
Closed access
JZJun Zhang
Jun Zhang
EZEnpeng Zhang
Enpeng Zhang
CYCong Yuan
Cong Yuan
HZHengzhu Zhang
Hengzhu Zhang
XWXingdong Wang
Xingdong Wang
LDLun Dong
Lun Dong

7 May 2022 in European Journal of Trauma and Emergency Surgery
Verified
Journal Article
Closed access
PDF file
YPYunlong Pei
Yunlong Pei
XTXiaojia Tang
Xiaojia Tang
EZEnpeng Zhang
Enpeng Zhang
KLKongye Lu
Kongye Lu
BXBoming Xia
Boming Xia
LDLun Dong
Lun Dong

28 November 2024 in International Journal of Clinical and Health Psychology
Verified
Journal Article
Open access
CLChang Li
Chang Li
PCPeng Chen
Peng Chen
YDYongbing Deng
Yongbing Deng
LXLei Xia
Lei Xia
XWXiaodong Wang
Xiaodong Wang
JZJun Zhang
Jun Zhang
To investigate the spatial distribution characteristics of alterations in spontaneous brain activity in severe traumatic brain injury (sTBI) patients with disorders of consciousness (DOC), based on the mesocircuit theoretical framework, and to establish models for predicting recovery of consciousness. Resting-state functional magnetic resonance imaging was employed to measure the mean fractional amplitude of low-frequency fluctuations (mfALFF) in sTBI patients with DOC and healthy controls, identifying differential brain regions for conducting gene and functional decoding analyses. Patients were classified into wake and DOC groups according to Extended Glasgow Outcome Score at 6 months. Furthermore, predictive models for consciousness recovery were developed using Nomogram and Linear Support Vector Machine (LSVM) based on mfALFF. In total, 28 sTBI patients with DOC and 30 healthy controls were included, with no significant baseline differences between groups (P > 0.05). The results revealed increased mfALFF of subcortical Ascending Reticular Activating System and decreased cortical mfALFF (default mode network) in DOC patients within the framework of the mesocircuit model (FDR_P < 0.001, Clusters > 100). The study identified 2080 differentially expressed genes associated with reduced brain activity regions, indicating mechanisms involving synaptic function, the oxytocin signaling pathway, and GABAergic processes in DOC formation. In addition, significantly higher mfALFF values were observed in the left angular gyrus, supramarginal gyrus, and inferior parietal lobule of DOC group compared to the wake group (AlphaSim_P < 0.01, Cluster > 19). The Nomogram prediction model highlighted the pivotal role of these regions' activity levels in prognosis (AUC = 0.90). Validation using LSVM demonstrated robust predictive performance with an AUC of 0.90 and positive predictive values of 80% for wake and 83% for DOC. This study offered crucial insights underlying DOC in sTBI patients, demonstrating the dissociation between cortical and subcortical brain activities. The findings supported the use of mfALFF as a robust and non-invasive biomarker for evaluating brain function and predicting recovery outcomes.

3 January 2021 in Neurological Sciences
Verified
Journal Article
Closed access
PDF file
JZJun Zhang
Jun Zhang
HWHaili Wang
Haili Wang
YLYuping Li
Yuping Li
HZHengzhu Zhang
Hengzhu Zhang
XLXiaoguang Liu
Xiaoguang Liu
LDLun Dong
Lun Dong