Fengjuan Liu

Dr. Fengjuan Liu


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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1 March 2019 in Journal of Proteomics
Verified
Journal Article
Closed access
Zongkui WangZongkui Wang
Zongkui Wang
FLFengjuan Liu
Fengjuan Liu
SYShengliang Ye
Shengliang Ye
PJPeng Jiang
Peng Jiang
XYXiaochuan Yu
Xiaochuan Yu
CLChangqing Li
Changqing Li

Verified
Journal Article
Open access
PDF file
Zongkui WangZongkui Wang
Zongkui Wang
PJPeng Jiang
Peng Jiang
FLFengjuan Liu
Fengjuan Liu
XDXi Du
Xi Du
LMLi Ma
Li Ma
CLChangqing Li
Changqing Li
Growth differentiation factor 11 (GDF11), belonging to the transforming factor-β superfamily, regulates anterior-posterior patterning and inhibits neurogenesis during embryonic development. However, recent studies recognized GDF11 as a rejuvenating (or anti-ageing) factor to reverse age-related cardiac hypertrophy, repair injured skeletal muscle, promote cognitive function, etc. The effects of GDF11 are contradictory and the mechanism of action is still not well clarified. The objective of the present study was to investigate effects of GDF11 on PC12 neural stem cells in vitro and to reveal the underlying mechanism. We systematically assessed the effects of GDF11 on the life activities of PC12 cells. GDF11 significantly suppressed cell proliferation and migration, promoted differentiation and apoptosis, and arrested cell cycle at G2/M phase. Both TMT-based proteomic analysis and phospho-antibody microarray revealed PI3K-Akt pathway was enriched when treated with GDF11. Inhibition of ALK5 or PI3K obviously attenuated the effects of GDF11 on PC12 neural stem cells, which exerted that GDF11 regulated neural stem cells through ALK5-dependent PI3K-Akt signaling pathway. In summary, these results demonstrated GDF11 could be a negative regulator for neurogenesis via ALK5 activating PI3K-Akt pathway when it directly acted on neural stem cells.


Verified
Journal Article
Open access
PDF file
WZWei Zhang
Wei Zhang
XYXIN YUAN
XIN YUAN
Zongkui WangZongkui Wang
Zongkui Wang
JXJixuan Xu
Jixuan Xu
SYShengliang Ye
Shengliang Ye
CLChangqing Li
Changqing Li
Intravenous immunoglobulin (IVIG) is a first-line drug prepared from human plasma for the treatment of autoimmune diseases (AIDs), especially immune thrombocytopenia (ITP). Significant differences exist in protein types and expression levels between male and female plasma, and the prevalence of autoimmune diseases varies between sexes. The present study seeks to explore potential variations in IVIG sourced from distinct sex-specific plasma (DSP-IVIG), including IVIG sourced from female plasma (F-IVIG), IVIG sourced from male plasma (M-IVIG), and IVIG sourced from a blend of male and female plasma (Mix-IVIG). To address this question, we used an ITP mouse model and a monocyte–macrophage inflammation model treated with DSP IVIG. The analysis of proteomics in mice suggested that the pathogenesis and treatment of ITP may involve FcγRs mediated phagocytosis, apoptosis, Th17, cytokines, chemokines, and more. Key indicators, including the mouse spleen index, CD16+ macrophages, M1, M2, IL-6, IL-27, and IL-13, all indicated that the efficacy in improving ITP was highest for M-IVIG. Subsequent cell experiments revealed that M-IVIG exhibited a more potent ability to inhibit monocyte phagocytosis. It induced more necrotic M2 cells and fewer viable M2, resulting in weaker M2 phagocytosis. M-IVIG also demonstrated superiority in the downregulation of surface makers CD36, CD68, and CD16 on M1 macrophages, a weaker capacity to activate complement, and a stronger binding ability to FcγRs on the THP-1 surface. In summary, DSP-IVIG effectively mitigated inflammation in ITP mice and monocytes and macrophages. However, M-IVIG exhibited advantages in improving the spleen index, regulating the number and typing of M1 and M2 macrophages, and inhibiting macrophage-mediated inflammation compared to F-IVIG and Mix-IVIG.

1 July 2022 in Journal of Proteomics
Verified
Journal Article
Closed access
FLFengjuan Liu
Fengjuan Liu
SYShengliang Ye
Shengliang Ye
PJPeng Jiang
Peng Jiang
WZWei Zhang
Wei Zhang
Zongkui WangZongkui Wang
Zongkui Wang
CLChangqing Li
Changqing Li