Jinhong Wang

Dr. Jinhong Wang

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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FZFangsong Zhang
Fangsong Zhang
JZJianye Zhang
Jianye Zhang
XWXuexue Wang
Xuexue Wang
MHMengyang Han
Mengyang Han
YFYi Fei
Yi Fei
JWJinhong Wang
Jinhong Wang
The blood–brain barrier (BBB) plays a crucial role in maintaining the homeostasis of the central nervous system by regulating solute transport and preventing neurotoxic substances from infiltrating brain tissue. In schizophrenia, emerging evidence identifies BBB dysfunction as a key pathophysiological factor associated with neuroinflammation, tight junction abnormalities, and endothelial dysfunction. Recent advancements in neuroimaging techniques, such as arterial spin labeling (ASL), have provided valuable tools for investigating BBB permeability and its role in disease progression. This review synthesizes findings from postmortem studies, serum and cerebrospinal fluid biomarker analyses, and advanced neuroimaging research to elucidate BBB alterations in schizophrenia. It highlights the mechanistic roles of tight junction protein dysregulation, neurovascular unit dysfunction, and immune responses in disrupting BBB integrity. Furthermore, the review examines the bidirectional effects of antipsychotic medications on BBB, addressing both therapeutic opportunities and potential challenges. By emphasizing the pivotal role of BBB dysfunction in schizophrenia pathogenesis, this review underscores its translational potential. Through the integration of multidisciplinary evidence, it lays the foundation for innovative diagnostic approaches and therapeutic strategies, enhancing our understanding of schizophrenia’s complex pathophysiology.

1 October 2021 in Schizophrenia Research
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Journal Article
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YWYingchan Wang
Yingchan Wang
YJYuchao Jiang
Yuchao Jiang
GCGuusje Collin
Guusje Collin
DLDengtang Liu
Dengtang Liu
WSWenjun Su
Wenjun Su
JWJijun Wang
Jijun Wang

11 January 2023 in Journal of Psychiatric Research
Verified
Journal Article
Closed access
YDYang Du
Yang Du
SZShaowei Zhang
Shaowei Zhang
QQQi Qiu
Qi Qiu
JZJianye Zhang
Jianye Zhang
YFYuan Fang
Yuan Fang
XLXia Li
Xia Li

3 April 2020 in Disaster Medicine and Public Health Preparedness
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YZYang Zhou
Yang Zhou
LYLe Yang
Le Yang
MHMing Han
Ming Han
MHMinqiang Huang
Minqiang Huang
XSXuedong Sun
Xuedong Sun
JWJinhong Wang
Jinhong Wang
The coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China, spread rapidly throughout China and gradually to some countries abroad. How is the development of an epidemic controlled? Early diagnosis is one of the important contents in prevention and control. COVID-19 patients with early mild pneumonia often lack typical evidence to make a definitive diagnosis. Based on the analysis of the cases of 4 patients, this article finds that early diagnosis requires a combination of epidemiology, clinical manifestations, imaging, and etiology, with particular emphasis on epidemiology history and chest computed tomography (CT) manifestations.

16 June 2017 in Oncotarget
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Journal Article
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XWXue Wang
Xue Wang
YZYu Zhao
Yu Zhao
YHYumin Hu
Yumin Hu
YZYongjin Zhou
Yongjin Zhou
XYXinjian Ye
Xinjian Ye
ZYZhihan Yan
Zhihan Yan
Evaluation and validation of the diagnostic value of the apparent diffusion coefficient for differentiating early-stage endometrial carcinomas from benign mimickers at 3T MRI Evaluation and validation of the diagnostic value of the apparent diffusion coefficient for differentiating early-stage endometrial carcinomas from benign mimickers at 3T MRI

7 June 2021 in Acta Radiologica
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HCHong Chen
Hong Chen
GWGuoliang Wang
Guoliang Wang
XWXuexue Wang
Xuexue Wang
YGYan Gao
Yan Gao
JLJunhua Liang
Junhua Liang
JWJinhong Wang
Jinhong Wang
Background: Endometrioma is a common manifestation of endometriosis that can be difficult to diagnose with conventional magnetic resonance imaging (MRI). Susceptibility-weighted imaging (SWI) may be more sensitive than conventional MRI in the detection of chronic, local hemorrhagic disease. Purpose: To investigate whether signal voids in SWI sequences could be used in the preoperative diagnosis of endometrioma. Material and Methods: This retrospective study included consecutive female patients with clinically suspected endometrioma. All patients underwent pelvic 3-T MRI (T1- and T2-weighted) and SWI within two weeks before laparoscopy. Two experienced radiologists blinded to the histopathologic/clinical diagnoses interpreted the images together, and any disagreements were resolved by consensus. Results: The final analysis included 73 patients: 46 patients (mean age=37 years; age range=22–68 years) with 85 endometrioma lesions and 27 patients (mean age=34 years; age range=15–68 years) with 34 non-endometrioid cystic lesions (18 hemorrhagic corpus luteal cysts, three simple cysts, three mucinous cystadenomas, two mature teratomas, and one endometrioid cyst with corpus luteum rupture/hemorrhage). The presenting symptoms for patients with endometrioma were chronic pelvic pain (44.6%), dysmenorrhea (31.9%), infertility (12.8%), dyspareunia (6.4%), and menstrual irregularity (4.3%). MRI identified all 119 lesions observed laparoscopically. SWI visualized punctate or curvilinear signal voids along the cyst wall or within the lesion in 67 of 85 endometriomas (78.8%) and only 3 of 31 non-endometrioid cysts (8.8%). Conclusion: The use of SWI to look for signal voids in the cyst wall or within the lesion could facilitate the preoperative diagnosis of endometrioma.