Dongfu Feng

Dr. Dongfu Feng


Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

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

Representative Publications

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1 December 2017 in Neuroscience
Verified
Journal Article
Closed access
YPYuanbo Pan
Yuanbo Pan
ZSZhao-Liang Sun
Zhao-Liang Sun
DFDongfu Feng
Dongfu Feng

20 May 2022 in Journal of Computer Assisted Tomography
Verified
Journal Article
Closed access
ZZZhi-Jie Zhao
Zhi-Jie Zhao
DCDi Chen
Di Chen
LZLai-Yang Zhou
Lai-Yang Zhou
ZSZhao-Liang Sun
Zhao-Liang Sun
BWBo-Cheng Wang
Bo-Cheng Wang
DFDongfu Feng
Dongfu Feng
Objective: In this study, we investigate the preoperative and postoperative computed tomography (CT) scores in severe traumatic brain injury (TBI) patients undergoing decompressive craniectomy (DC) and compare their predictive accuracy. Methods: Univariate and multivariate logistic regression analyses were used to determine the relationship between CT score (preoperative and postoperative) and mortality at 30 days after injury. The discriminatory power of preoperative and postoperative CT score was assessed by the area under the receiver operating characteristic curve (AUC). Results: Multivariate logistic regression analysis adjusted for the established predictors of TBI outcomes showed that preoperative Rotterdam CT score (odds ratio [OR], 3.60; 95% confidence interval [CI], 1.13–11.50; P = 0.030), postoperative Rotterdam CT score (OR, 4.17; 95% CI, 1.63–10.66; P = 0.003), preoperative Stockholm CT score (OR, 3.41; 95% CI, 1.42–8.18; P = 0.006), postoperative Stockholm CT score (OR, 4.50; 95% CI, 1.60–12.64; P = 0.004), preoperative Helsinki CT score (OR, 1.44; 95% CI, 1.03–2.02; P = 0.031), and postoperative Helsinki CT score (OR, 2.55; 95% CI, 1.32–4.95; P = 0.005) were significantly associated with mortality. The performance of the postoperative Rotterdam CT score was superior to the preoperative Rotterdam CT score (AUC, 0.82–0.97 vs 0.71–0.91). The postoperative Stockholm CT score was superior to the preoperative Stockholm CT score (AUC, 0.76–0.94 vs 0.72–0.92). The postoperative Helsinki CT score was superior to the preoperative Helsinki CT score (AUC, 0.88–0.99 vs 0.65–0.87). Conclusions: In conclusion, assessing the CT score before and after DC may be more precise and efficient for predicting early mortality in severe TBI patients who undergo DC.

8 March 2011 in European Journal of Neuroscience
Verified
Journal Article
Closed access
PDF file
JLJia Li
Jia Li
XLXue-Yuan Li
Xue-Yuan Li
DFDongfu Feng
Dongfu Feng
LGLei Gu
Lei Gu

31 July 2017 in Current Neuropharmacology
Verified
Journal Article
Open access
PDF file
HLHong-Jiang Li
Hong-Jiang Li
ZSZhao-Liang Sun
Zhao-Liang Sun
XYXi-Tao Yang
Xi-Tao Yang
LZLiang Zhu
Liang Zhu
DFDongfu Feng
Dongfu Feng
Background: Traumatic optic nerve injury is a leading cause of irreversible blindness across the world and causes progressive visual impairment attributed to the dysfunction and death of retinal ganglion cells (RGCs). To date, neither pharmacological nor surgical interventions are sufficient to halt or reverse the progress of visual loss. Axon regeneration is critical for functional recovery of vision following optic nerve injury. After optic nerve injury, RGC axons usually fail to regrow and die, leading to the death of the RGCs and subsequently inducing the functional loss of vision. However, the detailed molecular mechanisms underlying axon regeneration after optic nerve injury remain poorly understood. Methods: Research content related to the detailed molecular mechanisms underlying axon regeneration after optic nerve injury have been reviewed. Results: The present review provides an overview of regarding potential strategies for axonal regeneration of RGCs and optic nerve repair, focusing on the role of cytokines and their downstream signaling pathways involved in intrinsic growth program and the inhibitory environment together with axon guidance cues for correct axon guidance. A more complete understanding of the factors limiting axonal regeneration will provide a rational basis, which contributes to develop improved treatments for optic nerve regeneration. These findings are encouraging and open the possibility that clinically meaningful regeneration may become achievable in the future. Conclusion: Combination of treatments towards overcoming growth-inhibitory molecules and enhancing intrinsic growth capacity combined with correct guidance using axon guidance cues is crucial for developing promising therapies to promote axon regeneration and functional recovery after ON injury.

1 April 2017 in Molecular and Cellular Neuroscience
Verified
Journal Article
Closed access
GHGuo-Hui Huang
Guo-Hui Huang
ZSZhao-Liang Sun
Zhao-Liang Sun
HLHong-Jiang Li
Hong-Jiang Li
DFDongfu Feng
Dongfu Feng

1 July 2018 in Neuropharmacology
Verified
Journal Article
Closed access
HLHong-Jiang Li
Hong-Jiang Li
YPYuanbo Pan
Yuanbo Pan
ZSZhao-Liang Sun
Zhao-Liang Sun
YSYi-Yu Sun
Yi-Yu Sun
XYXi-Tao Yang
Xi-Tao Yang
DFDongfu Feng
Dongfu Feng