You-Qiang Song

You-Qiang Song

orcid

Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

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

Representative Publications

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14 January 2007 in Nature Genetics
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Journal Article
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EREkaterina Rogaeva
Ekaterina Rogaeva
YMYan Meng
Yan Meng
JLJoseph H Lee
Joseph H Lee
YGYongjun Gu
Yongjun Gu
TKToshitaka Kawarai
Toshitaka Kawarai
PGPeter St George-Hyslop
Peter St George-Hyslop

1 September 2000 in Nature
Verified
Journal Article
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GYGang Yu
Gang Yu
MNMasaki Nishimura
Masaki Nishimura
SAShigeki Arawaka
Shigeki Arawaka
DLDiane Levitan
Diane Levitan
LZLili Zhang
Lili Zhang
PGPeter St George-Hyslop
Peter St George-Hyslop

20 April 2009 in Spine
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Journal Article
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KCKenneth Cheung
Kenneth Cheung
JKJaro Karppinen
Jaro Karppinen
DCDanny Chan
Danny Chan
DHDaniel Wai Hung Ho
Daniel Wai Hung Ho
YSYou-Qiang Song
You-Qiang Song
KLKeith D. K. Mch Luk
Keith D. K. Mch Luk
Study Design. A cross-sectional population study of magnetic resonance imaging (MRI) changes. Objective. To examine the pattern and prevalence of lumbar spine MRI changes within a southern Chinese population and their relationship with back pain. Summary of Background Data. Previous studies on MRI changes and back pain have used populations of asymptomatic individuals or patients presenting with back pain and sciatica. Thus, the prevalence and pattern of intervertebral disc degeneration within the population is not known. Methods. Lumbar spine MRIs were obtained in 1043 volunteers between 18 to 55 years of age. MRI changes including disc degeneration, herniation, anular tears (HIZ), and Schmorl’s nodes were noted by 2 independent observers. Differences were settled by consensus. Disc degeneration was graded using Schneiderman’s classification, and a total score (DDD score) was calculated by the summation of the Schneiderman’s score for each lumbar level. A K-mean clustering program was used to group individuals into different patterns of degeneration. Results. Forty percent of individuals under 30 years of age had lumbar intervertebral disc degeneration (LDD), the prevalence of LDD increasing progressively to over 90% by 50 to 55 years of age. There was a positive correlation between the DDD score and low back pain. L5–S1 and L4–L5 were the most commonly affected levels. Apart from the usual patterns of degeneration, some uncommon patternsof degeneration were identified, comprising of subjects with skip level lesions (intervening normal levels) and isolated upper or mid lumbar degeneration. Conclusion. LDD is common, and its incidence increases with age. In a population setting, there is a significant association of LDD on MRI with back pain.

1 December 2021 in Ageing Research Reviews
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Journal Article
Open access
ZZZhigang Zhang
Zhigang Zhang
XYXifei Yang
Xifei Yang
YSYou-Qiang Song
You-Qiang Song
JTJie Tu
Jie Tu
Alzheimer's disease (AD) is a complex neurodegenerative disease in the elderly and the most common cause of human dementia. AD is characterized by accumulation of abnormal protein aggregates including amyloid plaques (composed of beta-amyloid (Aβ) peptides) and neurofibrillary tangles (formed by hyper-phosphorylated tau protein). Synaptic plasticity, neuroinflammation, calcium signaling etc. also show dysfunction in AD patients. Autophagy is an evolutionarily conserved lysosome-dependent cellular event in eukaryotes. It is closely linked to modulation of protein metabolism, through which damaged organelles and mis-folded proteins are degraded and then recycled to maintain protein homeostasis. Accumulating evidence has shown that impaired autophagy also contributes to AD pathogenesis. In the present review, we highlight the role of autophagy, including bulk and selective autophagy, in regulating metabolic circuits in AD pathogenesis. We also discuss the potential and future perspectives of autophagy-inducing strategies in AD therapeutics.

1 January 2014 in The American Journal of Geriatric Psychiatry
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Journal Article
Closed access
SCSheung-Tak Cheng
Sheung-Tak Cheng
PCPizza K. Chow
Pizza K. Chow
YSYou-Qiang Song
You-Qiang Song
EYEdwin C.S. Yu
Edwin C.S. Yu
ACAlfred C.M. Chan
Alfred C.M. Chan
JLJohn H.M. Lam
John H.M. Lam

22 April 2015 in The Journal of Infectious Diseases
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ZCZhongshan Cheng
Zhongshan Cheng
JZJie Zhou
Jie Zhou
KTKelvin Kai-Wang To
Kelvin Kai-Wang To
HIN CHUHIN CHU
HIN CHU
CLCun Li
Cun Li
KYKwok-Yung Yuen
Kwok-Yung Yuen
The genetic predisposition to severe A(H1N1)2009 (A[H1N1]pdm09) influenza was evaluated in 409 patients, including 162 cases with severe infection and 247 controls with mild infection. We prioritized candidate variants based on the result of a pilot genome-wide association study and a lung expression quantitative trait locus data set. The GG genotype of rs2070788, a higher-expression variant of TMPRSS2, was a risk variant (odds ratio, 2.11; 95% confidence interval, 1.18–3.77; P = .01) to severe A(H1N1)pdm09 influenza. A potentially functional single-nucleotide polymorphism, rs383510, accommodated in a putative regulatory region was identified to tag rs2070788. Luciferase assay results showed the putative regulatory region was a functional element, in which rs383510 regulated TMPRSS2 expression in a genotype-specific manner. Notably, rs2070788 and rs383510 were significantly associated with the susceptibility to A(H7N9) influenza in 102 patients with A(H7N9) influenza and 106 healthy controls. Therefore, we demonstrate that genetic variants with higher TMPRSS2 expression confer higher risk to severe A(H1N1)pdm09 influenza. The same variants also increase susceptibility to human A(H7N9) influenza.