Hao Ying

Dr. Hao Ying


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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19 July 2013 in Diabetologia
Verified
Journal Article
Closed access
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YWYu-Cheng Wang
Yu-Cheng Wang
YLYuying Li
Yuying Li
XWXin-Yi Wang
Xin-Yi Wang
DUO ZHANGDUO ZHANG
DUO ZHANG
HZHuihui Zhang
Huihui Zhang
HYHao Ying
Hao Ying

29 October 2018 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Closed access
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YLYan Li
Yan Li
JJJingjing Jiang
Jingjing Jiang
WLWei Liu
Wei Liu
HWHui Wang
Hui Wang
LZLei Zhao
Lei Zhao
HYHao Ying
Hao Ying
Significance: Muscle wasting and weakness can be observed under either physiological or pathological conditions, which are partly due to an imbalance between autophagy (“self-eating”) and apoptosis (“self-killing”). How microRNAs coordinate autophagy and apoptosis in the metabolic regulation of cell death remains largely unknown. This work identifies miR-378 as a critical component of metabolic checkpoints, which integrates metabolic information into an adaptive response to reduce the propensity of myocytes to undergo apoptosis by enhancing autophagy and suppressing apoptosis via directly targeting phosphoinositide-dependent protein kinase 1 and Caspase 9, respectively. Our study highlights a crucial role of miR-378 in maintaining normal muscle homeostasis by orchestrating autophagy and apoptosis processes and provides a potential therapeutic target to treat myopathies.

15 December 2014 in Journal of Cell Biology
Verified
Journal Article
Open access
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DUO ZHANGDUO ZHANG
DUO ZHANG
XWXiaoyun Wang
Xiaoyun Wang
YLYuying Li
Yuying Li
LZLei Zhao
Lei Zhao
MLMinghua Lu
Minghua Lu
HYHao Ying
Hao Ying
It is known that thyroid hormone (TH) is a major determinant of muscle fiber composition, but the molecular mechanism by which it does so remains unclear. Here, we demonstrated that miR-133a1 is a direct target gene of TH in muscle. Intriguingly, miR-133a, which is enriched in fast-twitch muscle, regulates slow-to-fast muscle fiber type conversion by targeting TEA domain family member 1 (TEAD1), a key regulator of slow muscle gene expression. Inhibition of miR-133a in vivo abrogated TH action on muscle fiber type conversion. Moreover, TEAD1 overexpression antagonized the effect of miR-133a as well as TH on muscle fiber type switch. Additionally, we demonstrate that TH negatively regulates the transcription of myosin heavy chain I indirectly via miR-133a/TEAD1. Collectively, we propose that TH inhibits the slow muscle phenotype through a novel epigenetic mechanism involving repression of TEAD1 expression via targeting by miR-133a1. This identification of a TH-regulated microRNA therefore sheds new light on how TH achieves its diverse biological activities.

1 June 2018 in Molecular Therapy Nucleic Acids
Verified
Journal Article
Open access
YSYaying Sun
Yaying Sun
HWHui Wang
Hui Wang
YLYan Li
Yan Li
SLShaohua Liu
Shaohua Liu
Jiwu ChenJiwu Chen
Jiwu Chen
HYHao Ying
Hao Ying
Fibrosis is common after skeletal muscle injury, undermining tissue regeneration and function. The mechanism underlying skeletal muscle fibrosis remains unveiled. Transforming growth factor-β/Smad signaling pathway is supposed to play a pivotal role. However, how microRNAs interact with transforming growth factor-β/Smad-related muscle fibrosis remains unclear. We showed that microRNA (miR)-24-3p and miR-122-5p declined in skeletal muscle fibrosis, which was a consequence of transforming growth factor-β. Upregulating Smad4 suppressed two microRNAs, whereas inhibiting Smad4 elevated microRNAs. Luciferase reporter assay and chromatin immunoprecipitation confirmed that Smad4 directly inhibited two microRNAs. On the other hand, overexpression of these two miRs retarded fibrotic process. We further identified that Smad2 was a direct target of miR-24-3p, whereas miR-122-5p targeted transforming growth factor-β receptor-II. Both targets were important participants in transforming growth factor-β/Smad signaling. Taken together, a positive feedback loop in transforming growth factor-β/Smad4 signaling pathway in skeletal muscle fibrosis was identified. Transforming growth factor-β/Smad axis could be downregulated by microRNAs. This effect, however, was suppressed by Smad4, the downstream of transforming growth factor-β.

1 January 2014 in Molecular Therapy Nucleic Acids
Verified
Journal Article
Open access
PDF file
XLXihua Li
Xihua Li
YLYuying Li
Yuying Li
LZLei Zhao
Lei Zhao
DUO ZHANGDUO ZHANG
DUO ZHANG
XYXuan Yao
Xuan Yao
HYHao Ying
Hao Ying
Noninvasive biomarkers with diagnostic value and prognostic applications have long been desired to replace muscle biopsy for Duchenne muscular dystrophy (DMD) patients. Growing evidence indicates that circulating microRNAs are biomarkers to assess pathophysiological status. Here, we show that the serum levels of six muscle-specific miRNAs (miR-1/206/133/499/208a/208b, also known as myomiRs) were all elevated in DMD patients (P < 0.01). The receiver operating characteristic curves of circulating miR-206, miR-499, miR-208b, and miR-133 levels reflected strong separation between Becker's muscular dystrophy (BMD) and DMD patients (P < 0.05). miR-206, miR-499, and miR-208b levels were positively correlated with both age and type IIc muscle fiber content in DMD patients (2–6 years), indicating that they might represent the stage of disease as well as the process of regeneration. miR-499 and miR-208b levels were correlated with slow and fast fiber content and might reflect the ratio of slow to fast fibers in DMD patient (>6 years). Fibroblast growth factor, transforming growth factor-β, and tumor necrosis factor-α could affect the secretion of myomiRs, suggesting that circulating myomiRs might reflect the effects of cytokines and growth factors on degenerating and regenerating muscles. Collectively, our data indicated that circulating myomiRs could serve as promising biomarkers for DMD diagnosis and disease progression.

20 June 2014 in Journal of Agricultural and Food Chemistry
Verified
Journal Article
Closed access
Zhen ChenZhen Chen
Zhen Chen
JLJiao Liu
Jiao Liu
ZFZhifei Fu
Zhifei Fu
CYCheng Ye
Cheng Ye
RZRenshuai Zhang
Renshuai Zhang
HLHongbing Liu
Hongbing Liu