Jun Xu

Ms. Jun Xu


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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1 February 2020 in European Journal of Medicinal Chemistry
Verified
Journal Article
Closed access
NSNannan Sun
Nannan Sun
XMXiaojun Ma
Xiaojun Ma
KZKaifeng Zhou
Kaifeng Zhou
CZChen Zhu
Chen Zhu
ZCZhonglian Cao
Zhonglian Cao
WFWei Fu
Wei Fu

25 July 2025 in Bone & Joint Research
Verified
Journal Article
Open access
PDF file
HGHuijie Gu
Huijie Gu
RCRong Chen
Rong Chen
TFTingting Fang
Tingting Fang
JXJun Xu
Jun Xu
YZYiming Zhang
Yiming Zhang
GCGuangnan Chen
Guangnan Chen
Aims: This study aimed to investigate the relationship between physical activity (PA) and the risk of osteoarthritis (OA) and its subtypes.Methods: We included participants from the UK Biobank aged 37 to 73 years from February 2006 to June 2010. Baseline PA levels were categorized as high (≥ 3,000 metabolic equivalent of task (MET)-min/week), moderate (600 to < 3,000 MET-min/week), or low PA (< 600 MET-min/week) based on current public health guidelines. The associations between PA and OA and its main subtypes (hand, hip, and knee OA) were analyzed using Cox-proportional hazard models. The mediating role of BMI was tested under a causal counterfactual framework.Results: The median follow-up period was 12.50 years, with 25,036 incident total OA cases. Compared to low PA, we found no significant association between moderate PA and total OA risk. However, high PA significantly increased the risk of total OA by 19% (hazard ratio (HR) 1.19, 95% CI 1.15 to 1.23). This result is consistent with knee OA and hip OA, where HR was 1.25 (95% CI 1.19 to 1.31) for knee OA risk and 1.17 (95% CI 1.10 to 1.24) for hip OA risk, respectively. Moderate PA was associated with 14% (HR 0.86, 95% CI 0.76 to 0.97) reduction in the risk of hand OA. Moreover, we found that BMI mediated the association between PA and OA risk, with the mediating proportion for total OA, hand OA, knee OA, and hip OA, at 75.48%, 2.42%, 10.20%, and 51.39%, respectively.Conclusion: These findings suggest that high levels of PA increased the risk of total OA, as well as knee and hip OA, while moderate levels of PA significantly mitigate the risk of hand OA. BMI appears to mediate the relationship between PA and OA risk. Future research should elucidate the underlying mechanisms.Cite this article: Bone Joint Res 2025;14(7):656–665.

30 September 2021 in Frontiers in Cell and Developmental Biology
Verified
Journal Article
Open access
HGHuijie Gu
Huijie Gu
ZHZhongyue Huang
Zhongyue Huang
KZKaifeng Zhou
Kaifeng Zhou
GCGuangnan Chen
Guangnan Chen
CBChong Bian
Chong Bian
XYXiaofan Yin
Xiaofan Yin
Osteoporosis (OP) has the characteristics of a systematically impaired bone mass, strength, and microstructure. Long non-coding RNAs (lncRNAs) are longer than 200 nt, and their functions in osteoporosis is yet not completely understood. We first harvested the bone marrow mesenchymal stem cells (BMSCs) from ovariectomy (OVX) and sham mice. Then, we systematically analyzed the differential expressions of lncRNAs and messenger RNAs (mRNAs) and constructed lncRNA–mRNA coexpression network in order to identify the function of lncRNA in osteoporosis. Totally, we screened 743 lncRNAs (461 upregulated lncRNAs and 282 downregulated lncRNAs) and 240 mRNAs (128 upregulated and 112 downregulated) with significantly differential expressions in OP compared to normal. We conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional analyses to investigate the functions and pathways of the differential expression of messenger RNAs (mRNAs), a coexpressed network of lncRNA/mRNA. Quantitative PCR (qPCR) validated that the expressions of NONMMUT096150.1, NONMMUT083450.1, and NONMMUT029743.2 were all downregulated, whereas NONMMUT026970.2, NONMMUT051734.2, NONMMUT003617.2, and NONMMUT034049.2 were all upregulated in the OVX group. NONMMUT096150.1, as a key lncRNA in OP, was identified to modulate the adipogenesis of BMSCs. Further analysis suggested that NONMMUT096150.1 might modulate the adipogenesis of BMSCs via the peroxisome proliferator-activated receptor (PPAR) signaling pathway, AMPK signaling pathway, and the lipolysis regulation in adipocyte and adipocytokine signaling pathway. Our study expands the understanding of lncRNA in the pathogenesis of OP.