Jianshe Yan

Prof. Jianshe Yan

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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Verified
Journal Article
Open access
PDF file
SYShuxiang Yu
Shuxiang Yu
XGXiaoke Geng
Xiaoke Geng
HLHuibing Liu
Huibing Liu
YZYunyun Zhang
Yunyun Zhang
XCXiumei Cao
Xiumei Cao
JYJianshe Yan
Jianshe Yan
Peritoneal inflammation remains a major cause of treatment failure in patients with kidney failure who receive peritoneal dialysis. Peritoneal inflammation is characterized by an increase in neutrophil infiltration. However, the molecular mechanisms that control neutrophil recruitment in peritonitis are not fully understood. ELMO and DOCK proteins form complexes which function as guanine nucleotide exchange factors to activate the small GTPase Rac to regulate F-actin dynamics during chemotaxis. In the current study, we found that deletion of the Elmo1 gene causes defects in chemotaxis and the adhesion of neutrophils. ELMO1 plays a role in the fMLP-induced activation of Rac1 in parallel with the PI3K and mTORC2 signaling pathways. Importantly, we also reveal that peritoneal inflammation is alleviated in Elmo1 knockout mice in the mouse model of thioglycollate-induced peritonitis. Our results suggest that ELMO1 functions as an evolutionarily conserved regulator for the activation of Rac to control the chemotaxis of neutrophils both in vitro and in vivo. Our results suggest that the targeted inhibition of ELMO1 may pave the way for the design of novel anti-inflammatory therapies for peritonitis.

1 January 2021
Verified
Journal Article
Closed access
SYShuxiang Yu
Shuxiang Yu
BRBiqi Ren
Biqi Ren
HCHaiyun Chen
Haiyun Chen
DGDavid Goltzman
David Goltzman
JYJianshe Yan
Jianshe Yan
DMDengshun Miao
Dengshun Miao

26 July 2021 in Frontiers in Cell and Developmental Biology
Verified
Journal Article
Open access
XLXinyue Liang
Xinyue Liang
YHYafei Hou
Yafei Hou
LHLijuan Han
Lijuan Han
SYShuxiang Yu
Shuxiang Yu
YZYunyun Zhang
Yunyun Zhang
JYJianshe Yan
Jianshe Yan
Bone homeostasis is a metabolic balance between the new bone formation by osteoblasts and old bone resorption by osteoclasts. Excessive osteoclastic bone resorption results in low bone mass, which is the major cause of bone diseases such as rheumatoid arthritis. Small GTPases Rac1 is a key regulator of osteoclast differentiation, but its exact mechanism is not fully understood. ELMO and DOCK proteins form complexes that function as guanine nucleotide exchange factors for Rac activation. Here, we report that ELMO1 plays an important role in differentiation and bone resorption of osteoclasts. Osteoclast precursors derived from bone marrow monocytes (BMMs) of Elmo1–/–mice display defective adhesion and migration during differentiation. The cells also have a reduced activation of Rac1, p38, JNK, and AKT in response to RANKL stimulation. Importantly, we show that bone erosion is alleviated in Elmo1–/–mice in a rheumatoid arthritis mouse model. Taken together, our results suggest that ELMO1, as a regulator of Rac1, regulates osteoclast differentiation and bone resorption bothin vitroandin vivo.

2 May 2021 in Journal of Raman Spectroscopy
Verified
Journal Article
Closed access
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YZYingjia Zhao
Yingjia Zhao
YZYunyun Zhang
Yunyun Zhang
XLXinyue Liang
Xinyue Liang
SLShupeng Liu
Shupeng Liu
XCXiumei Cao
Xiumei Cao
JYJianshe Yan
Jianshe Yan

18 May 2022 in Applied Sciences
Verified
Journal Article
Open access
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RLRuiqi Liu
Ruiqi Liu
JTJing Tian
Jing Tian
YLYuemei Li
Yuemei Li
NCNa Chen
Na Chen
JYJianshe Yan
Jianshe Yan
SLShupeng Liu
Shupeng Liu
Nailfold capillaroscopy is a reliable way to detect and analyze microvascular abnormalities. It is safe, simple, noninvasive, and inexpensive. Among all the capillaroscopic abnormalities, nailfold microhemorrhages are closely associated with early vascular damages and might be present in numerous diseases such as glaucoma, diabetes mellitus, and systemic sclerosis. Segmentation of nailfold microhemorrhages provides valuable pathological information that may lead to further investigations. A novel deep learning architecture named DAFM-Net is proposed for the accurate segmentation in this study. The network mainly consists of U-shape backbone, dual attention fusion module, and group normalization layer. The U-shape backbone generates rich hierarchical representations while the dual attention fusion module utilizes the captured features for fine adjustment. Group normalization is introduced as an effective normalization method to effectively improve the convergence ability of our deep neural network. The effectiveness of the proposed model is validated through ablation studies and segmentation experiments; the proposed method DAFM-Net achieves competitive performance for nailfold microhemorrhage segmentation with an IOU score of 78.03% and Dice score of 87.34% compared to the ground truth.