Junhong Guo

Dr. Junhong Guo

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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6 September 2024 in Molecular Neurobiology
Verified
Journal Article
Open access
PDF file
JMJie Miao
Jie Miao
YZYanli Zhang
Yanli Zhang
CSChen Su
Chen Su
QZQiandan Zheng
Qiandan Zheng
JGJunhong Guo
Junhong Guo
Alzheimer’s disease (AD) is the leading cause of dementia among the elderly population, posing a significant public health challenge due to limited therapeutic options that merely delay cognitive decline. AD is associated with impaired energy metabolism and reduced neurotrophic signaling. The insulin-like growth factor (IGF) signaling pathway, crucial for central nervous system (CNS) development, metabolism, repair, cognition, and emotion regulation, includes IGF-1, IGF-2, IGF-1R, IGF-2R, insulin receptor (IR), and six insulin-like growth factor binding proteins (IGFBPs). Research has identified abnormalities in IGF signaling in individuals with AD and AD models. Dysregulated expression of IGFs, receptors, IGFBPs, and disruptions in downstream phosphoinositide 3-kinase-protein kinase B (PI3K/AKT) and mitogen-activated protein kinase (MAPK) pathways collectively increase AD susceptibility. Studies suggest modulating the IGF pathway may ameliorate AD pathology and cognitive decline. This review explores the CNS pathophysiology of IGF signaling in AD progression and assesses the potential of targeting the IGF system as a novel therapeutic strategy. Further research is essential to elucidate how aberrant IGF signaling contributes to AD development, understand underlying molecular mechanisms, and evaluate the safety and efficacy of IGF-based treatments.

19 March 2022 in Neuroscience Bulletin
Verified
Journal Article
Open access
PDF file
SHShan Huang
Shan Huang
YWYanjiang Wang
Yanjiang Wang
JGJunhong Guo
Junhong Guo
Since the establishment of the biomarker-based A-T-N (Amyloid/Tau/Neurodegeneration) framework in Alzheimer’s disease (AD), the diagnosis of AD has become more precise, and cerebrospinal fluid tests and positron emission tomography examinations based on this framework have become widely accepted. However, the A-T-N framework does not encompass the whole spectrum of AD pathologies, and problems with invasiveness and high cost limit the application of the above diagnostic methods aimed at the central nervous system. Therefore, we suggest the addition of an “X” to the A-T-N framework and a focus on peripheral biomarkers in the diagnosis of AD. In this review, we retrospectively describe the recent progress in biomarkers based on the A-T-N-X framework, analyze the problems, and present our perspectives on the diagnosis of AD.

1 January 2020 in Medicine
Verified
Journal Article
Open access
XCXueli Chang
Xueli Chang
YWYaxin Wu
Yaxin Wu
JZJie Zhou
Jie Zhou
HMHuaxing Meng
Huaxing Meng
WZWei Zhang
Wei Zhang
JGJunhong Guo
Junhong Guo
Leigh syndrome (also called Leigh disease or subacute necrotizing encephalomyelopathy) is a rare inherited neurometabolic disorder, which affects the central nervous system. This meta-study systematically analyzed clinical manifestations, respiratory chain enzyme complex deficiency, and gene mutations. Literature was searched for publications in MEDLINE, EMBASE, and the China National Knowledge Infrastructure database for meta-analyses of the incidence of clinical symptoms, laboratory assessments, imaging data, muscle biopsy histochemical staining, activity of the mitochondrial respiratory chain enzyme complex, gene mutations, and the association between age at disease onset and type of gene mutations. This study included 5 studies with 385 Leigh syndrome patients. The most common clinical features of Leigh syndrome included elevated blood and/or cerebrospinal fluid (CSF) levels of lactate (72%), developmental retardation (57%), hypotonia (42%), followed by respiratory dysfunction (34%), epileptic seizures (33%), poor feeding (29%), and weakness (27%). Approximately 80% of the patients had deficiencies of the respiratory chain enzyme complex or isolated complex I deficiency (35%), 32% had mitochondrial DNA (mtDNA) mutations, and 38% had nuclear DNA (nDNA) mutations. Patients with nDNA mutations were younger than those with mtDNA mutations (8.82 ± 13.88 vs 26.20 ± 41.11 years, P = .007). The data from the current meta-analysis demonstrated a variety of clinical and molecular manifestations of Leigh syndrome, with upregulated lactate levels in the blood or CSF being the most common feature. Diagnosis of Leigh syndrome could be confirmed using combined enzymatic and genetic analyses.

26 March 2024 in Journal of Neurology
Verified
Journal Article
Closed access
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HZHuiqiu Zhang
Huiqiu Zhang
JMJing Ma
Jing Ma
YFYingna Feng
Yingna Feng
HMHui Ma
Hui Ma
DLDan Liu
Dan Liu
WZWei Zhang
Wei Zhang

6 May 2023 in Life Medicine
Verified
Journal Article
Open access
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ACAging Biomarker Consortium
Aging Biomarker Consortium
YJYu-Juan Jia
Yu-Juan Jia
JWJun Wang
Jun Wang
JRJun-Rong Ren
Jun-Rong Ren
PCPiu Chan
Piu Chan
GPGang Pei
Gang Pei
China and the world are facing severe population aging and an increasing burden of age-related diseases. Aging of the brain causes major age-related brain diseases, such as neurodegenerative diseases and stroke. Identifying biomarkers for the effective assessment of brain aging and establishing a brain aging assessment system could facilitate the development of brain aging intervention strategies and the effective prevention and treatment of aging-related brain diseases. Thus, experts from the Aging Biomarker Consortium (ABC) have combined the latest research results and practical experience to recommend brain aging biomarkers and form an expert consensus, aiming to provide a basis for assessing the degree of brain aging and conducting brain-aging-related research with the ultimate goal of improving the brain health of elderly individuals in both China and the world.

12 October 2019 in Neuroscience Bulletin
Verified
Journal Article
Closed access
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XZXiumin Zhang
Xiumin Zhang
FZFang Zhao
Fang Zhao
CWChenfang Wang
Chenfang Wang
JZJun Zhang
Jun Zhang
YBYu Bai
Yu Bai
JQJinshun Qi
Jinshun Qi