Huaxin Wang

Dr. Huaxin Wang

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

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

Representative Publications

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5 October 2023 in Spine
Verified
Journal Article
Open access
JWJin Mm Wang
Jin Mm Wang
ZLZhaoxin Mm Li
Zhaoxin Mm Li
XCXiansu Chi
Xiansu Chi
YCyungang chen
yungang chen
HWHuaxin Wang
Huaxin Wang
YHYanke Hao
Yanke Hao
Study Design.: Multicenter retrospective observational study. Objective.: This study aimed to distinguish tuberculous spondylitis (TS) from pyogenic spondylitis (PS) using magnetic resonance imaging (MRI). Further, a novel diagnostic model for differential diagnosis was developed. Summary of Background Data.: TS and PS are the two most common spinal infections. Distinguishing between these types clinically is challenging. Delayed diagnosis can lead to deficits or kyphosis. Currently, there is a lack of radiology-based diagnostic models for TS and PS. Methods.: We obtained radiologic images from MRI imaging of patients with TS and PS and applied the least absolute shrinkage and selection operator regression to select the optimal features for a predictive model. Predictive models were built using multiple logistic regression analysis. Clinical utility was determined using decision curve analysis, and internal validation was performed using bootstrap resampling. Results.: A total of 201 patients with TS (n=105) or PS (n=96) were enrolled. We identified significant differences in MRI features between both groups. We found that noncontiguous multivertebral and single-vertebral body involvement were common in TS and PS, respectively. Vertebral bone lesions were more severe in the TS group than in the PS group (Z=−4.553, P<0.001). The patients in the TS group were also more prone to vertebral intraosseous, epidural, and paraspinal abscesses (P<0.001). A total of 8 predictors were included in the diagnostic model. Analysis of the calibration curve and area under the receiver operating characteristic curve suggested that the model was well-calibrated with high prediction accuracy. Conclusions.: This is the largest study comparing MRI features in TS and PS and the first to develop an MRI-based nomogram, which may help clinicians distinguish between TS and PS.

10 January 2024 in Biomedicine & Pharmacotherapy
Verified
Journal Article
Open access
YWYingZheng Wang
YingZheng Wang
TWTong Wang
Tong Wang
WLWeiDong Liu
WeiDong Liu
GLGuangZhi Luo
GuangZhi Luo
GLGuangYing Lu
GuangYing Lu
HWHuaxin Wang
Huaxin Wang
The effectiveness and safety of traditional Chinese medicine's active ingredients in anti-tumor effects have attracted widespread attention worldwide. Solasonine is the main anti-tumor component of the traditional Chinese medicine Solanum nigrum L, which can inhibit tumor cell proliferation, induce apoptosis, induce ferroptosis in tumor cells, and inhibit of tumor cell metastasis, thereby inhibiting tumor progression. Therefore, we summarized anti-tumor mechanisms and targets of solasonine to provide new ideas and theoretical basis for its further development and application.

19 August 2025 in Frontiers in Endocrinology
Verified
Journal Article
Open access
PDF file
FMFeifei Meng
Feifei Meng
CYChangwei Yang
Changwei Yang
NLNa Li
Na Li
HWHuaxin Wang
Huaxin Wang
Please confirm that the below Frontiers AI generated Alt-Text is an accurate visual description of your Figure(s). These Figure Alt-text proposals won't replace your figure captions and will not be visible on your article. If you wish to make any changes, kindly provide the exact revised Alt-Text you would like to use, ensuring that the word-count remains at approximately 100 words for best accessibility results. Further information on Alt-Text can be found here.Osteoporosis is a systemic metabolic disorder characterized by compromised bone strength and increased fracture risk. Exosomes, extracellular vesicles measuring 40–160 nm in diameter, are critical mediators of intercellular communication. Among their bioactive components, microRNAs (miRNAs) have garnered attention for their role in the pathogenesis of Osteoporosis. Through complementary binding to the 3′ untranslated regions of target genes, miRNAs regulate key processes such as bone formation, bone resorption, angiogenesis, and bone immunity. This review provides a comprehensive summary of the regulatory roles and underlying mechanisms of miRNAs in osteoporosis, offering insights into potential therapeutic strategies.