Yuxiang Zhang

Dr. Yuxiang Zhang

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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27 June 2025 in Neuropharmacology
Verified
Journal Article
Closed access
DYDong-Yu Yu
Dong-Yu Yu
JGJing-Qi Gao
Jing-Qi Gao
XYXi-Xi Yang
Xi-Xi Yang
FGFei-Fei Gao
Fei-Fei Gao
JLJun-Lin Liu
Jun-Lin Liu
CYChun-Xia Yan
Chun-Xia Yan

21 January 2025 in Advanced Science
Verified
Journal Article
Open access
ZYZhuo‐Jin Yang
Zhuo‐Jin Yang
DYDong‐Yu Yu
Dong‐Yu Yu
FGFei‐Fei Gao
Fei‐Fei Gao
DZDan‐Ya Zhou
Dan‐Ya Zhou
YWYa‐Nan Wu
Ya‐Nan Wu
CYChun-Xia Yan
Chun-Xia Yan
Lysine demethylase 7A (KDM7A) catalyzes the removal of dimethylation from histone H3 lysine 9 and lysine 27, both of which are associated with transcription repression. Previous study indicates that Kdm7a mRNA in the medial prefrontal cortex (mPFC) increases after drug exposure, yet its role in drug‐related behaviors is largely unknown. In a morphine‐conditioned place preference (CPP) paradigm, these findings reveal a specific increase of Kdm7a expression in the mPFC 7 days after drug withdrawal. Subsequently, these results demonstrate that knockdown of Kdm7a in the mPFC do not affect the acquisition of morphine‐induced CPP, but it attenuate memory consolidation. To further explore Kdm7a‐mediated transcriptomic changes, this work employs Nanopore direct RNA sequencing. Transcriptome profiling unveils several gene expression alterations impacted by KDM7A, which are enriched in relevant neural function categories. Notably, this work identifies and validates fascin actin‐bundling protein 1 (Fscn1) as a downstream molecular target. Knockdown of Fscn1 has a similar impact on CPP to Kdm7a, along with corresponding decrease of dendritic spine density and neuronal activity in the mPFC. Additionally, silencing Kdm7a decreases enrichment of H3K9me2 and H3K27me2 at the Fscn1 promoter region, suggesting that KDM7A may act as a crucial regulator of transcriptional responses to morphine‐related reward memory via Fscn1.

2 July 2024 in Bioengineering
Verified
Journal Article
Open access
PDF file
ZZZhiyong Zhang
Zhiyong Zhang
CYChun-Xia Yan
Chun-Xia Yan
QMQiao-Mei Min
Qiao-Mei Min
YZYuxiang Zhang
Yuxiang Zhang
WJWen-Fan Jing
Wen-Fan Jing
KPKe-Yang Pan
Ke-Yang Pan
Dental age estimation is extensively employed in forensic medicine practice. However, the accuracy of conventional methods fails to satisfy the need for precision, particularly when estimating the age of adults. Herein, we propose an approach for age estimation utilizing orthopantomograms (OPGs). We propose a new dental dataset comprising OPGs of 27,957 individuals (16,383 females and 11,574 males), covering an age range from newborn to 93 years. The age annotations were meticulously verified using ID card details. Considering the distinct nature of dental data, we analyzed various neural network components to accurately estimate age, such as optimal network depth, convolution kernel size, multi-branch architecture, and early layer feature reuse. Building upon the exploration of distinctive characteristics, we further employed the widely recognized method to identify models for dental age prediction. Consequently, we discovered two sets of models: one exhibiting superior performance, and the other being lightweight. The proposed approaches, namely AGENet and AGE-SPOS, demonstrated remarkable superiority and effectiveness in our experimental results. The proposed models, AGENet and AGE-SPOS, showed exceptional effectiveness in our experiments. AGENet outperformed other CNN models significantly by achieving outstanding results. Compared to Inception-v4, with the mean absolute error (MAE) of 1.70 and 20.46 B FLOPs, our AGENet reduced the FLOPs by 2.7×. The lightweight model, AGE-SPOS, achieved an MAE of 1.80 years with only 0.95 B FLOPs, surpassing MobileNetV2 by 0.18 years while utilizing fewer computational operations. In summary, we employed an effective DNN searching method for forensic age estimation, and our methodology and findings hold significant implications for age estimation with oral imaging.

Verified
Journal Article
Open access
PDF file
YZYuxiang Zhang
Yuxiang Zhang
YZYuan-Mei Zhu
Yuan-Mei Zhu
XYXi-Xi Yang
Xi-Xi Yang
GGGao Gao
Gao Gao
LTLuyang Tao
Luyang Tao
FHFu-Quan Huo
Fu-Quan Huo
Neurofilament light chain (NF-L) plays critical roles in synapses that are relevant to neuropsychiatric diseases. Despite postmortem evidence that NF-L is decreased in opiate abusers, its role and underlying mechanisms remain largely unknown. We found that the microinjection of the histone deacetylase (HDAC) inhibitor Trichostatin A (TSA) into the ventrolateral orbital cortex (VLO) attenuated chronic morphine-induced behavioral sensitization. The microinjection of TSA blocked the chronic morphine-induced decrease of NF-L. However, our chromatin immunoprecipitation (ChIP)-qPCR results indicated that this effect was not due to the acetylation of histone H3-Lysine 9 and 14 binding to the NF-L promotor. In line with the behavioral phenotype, the microinjection of TSA also blocked the chronic morphine-induced increase of p-ERK/p-CREB/p-NF-L. Finally, we compared chronic and acute morphine-induced behavioral sensitization. We found that although both chronic and acute morphine-induced behavioral sensitization were accompanied by an increase of p-CREB/p-NF-L, TSA exhibited opposing effects on behavioral phenotype and molecular changes at different addiction contexts. Thus, our findings revealed a novel role of NF-L in morphine-induced behavioral sensitization, and therefore provided some correlational evidence of the involvement of NF-L in opiate addiction.

18 December 2023 in Molecular Neurobiology
Verified
Journal Article
Closed access
PDF file
XYXixi Yang
Xixi Yang
DYDongyu Yu
Dongyu Yu
FGFeifei Gao
Feifei Gao
JYJingsi Yang
Jingsi Yang
ZCZhennan Chen
Zhennan Chen
CYChun-Xia Yan
Chun-Xia Yan

1 January 2026 in Research
Verified
Journal Article
Open access
FGFeifei Gao
Feifei Gao
XYXixi Yang
Xixi Yang
ZYZhuojin Yang
Zhuojin Yang
DYDongyu Yu
Dongyu Yu
BZBao Zhang
Bao Zhang
CYChun-Xia Yan
Chun-Xia Yan
Drug-associated reward memory underlies both the development and relapse of addiction, yet its molecular basis remains poorly understood. Here, transcriptomic profiling and functional validation identified a novel long non-coding RNA (lncRNA), Gm44763, as a critical regulator of morphine-induced reward memory specifically in neurons of the medial prefrontal cortex (mPFC). Behavioral and molecular analyses demonstrated that Gm44763 functions as a sponge for miR-298-5p, thereby relieving the repression of the downstream target gene, eukaryotic translation initiation factor 4E (eIF4E), and modulating both the acquisition and retrieval of reward memory. Golgi staining and fiber photometry further revealed that Gm44763 normalized morphine-induced alterations in synaptic structure and neuronal excitability. miR-298-5p bidirectionally regulated morphine-induced reward memory and reversed both behavioral and neuronal effects mediated by Gm44763. Mechanistically, the downstream effector eIF4E modulates translation via its interaction with eIF4G, thereby contributing to morphine-induced memory regulation. This process can be effectively modulated by 4EGI-1, a selective inhibitor of the eIF4E/eIF4G interaction. In summary, this study characterized lncRNA expression profiles in the mPFC of mice with morphine-induced conditioned place preference. We identified and validated Gm44763 as a novel lncRNA regulator of morphine-induced reward memory and synaptic plasticity. We further delineate a previously uncharacterized Gm44763/miR-298-5p/eIF4E axis that may represent a novel regulatory pathway linking transcriptional and translational control to drug-associated memory formation.