Limin Sun

Dr. Limin Sun


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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28 April 2023 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
BRbei rong
bei rong
HHHuan Huang
Huan Huang
GGGuoqing Gao
Guoqing Gao
LSLimin Sun
Limin Sun
YZYuan Zhou
Yuan Zhou
GWGao Hua Wang
Gao Hua Wang
Schizophrenia is characterized by the distributed dysconnectivity of resting-state multiple brain networks. However, the abnormalities of intra- and inter-network functional connectivity (FC) in schizophrenia and its relationship to symptoms remain unknown. The aim of the present study is to compare the intra- and inter-connectivity of the intrinsic networks between a large sample of patients with schizophrenia and healthy controls. Using the Region of interest (ROI) to ROI FC analyses, the intra- and inter-network FC of the eight resting state networks [default mode network (DMN); salience network (SN); frontoparietal network (FPN); dorsal attention network (DAN); language network (LN); visual network (VN); sensorimotor network (SMN); and cerebellar network (CN)] were investigated in 196 schizophrenia and 169-healthy controls. Compared to the healthy control group, the schizophrenia group exhibited increased intra-network FC in the DMN and decreased intra-network FC in the CN. Additionally, the schizophrenia group showed the decreased inter-network FC mainly involved the SN-DMN, SN-LN and SN-CN while increased inter-network FC in the SN-SMN and SN-DAN (p < 0.05, FDR-corrected). Our study suggests widespread intra- and inter-network dysconnectivity among large-scale RSNs in schizophrenia, mainly involving the DMN, SN and SMN, which may further contribute to the dysconnectivity hypothesis of schizophrenia.

Verified
Journal Article
Open access
PDF file
HGHailong Ge
Hailong Ge
LSLujia Si
Lujia Si
CLChen Li
Chen Li
JHJunjie Huang
Junjie Huang
LSLimin Sun
Limin Sun
GWGao Hua Wang
Gao Hua Wang
Resveratrol, a plant-derived polyphenol, exhibits significant antidepressant effects and notably enhances neuroplasticity in neurological diseases. However, whether the antidepressant function of resveratrol is related to neuroplasticity remains uncertain, and the underlying mechanisms is poorly understood. This study aims to investigate the role and mechanism of resveratrol in neuroplasticity in depression. Here, we adopted the chronic unpredictable mild stress (CUMS) model and resveratrol intervention by oral gavage. Thereafter, behavioral tests confirmed resveratrol’s antidepressant effect, and Nissl staining, Golgi staining, and Western blotting (WB) were employed to assess the neuronal plasticity. Moreover, proteomic analysis and WB were used to screen and identify the key proteins. To investigate the downstream target of ELAV-like RNA-binding protein 4 (ELAVL4) (one of candidate genes), the RNA Interactome Database and the National Center for Biotechnology Information databases were utilized to predict the targets of ELAVL4. Finally, Quantitative PCR, WB, and Immunofluorescence were used to verify the prediction. Our results indicate that resveratrol alleviates CUMS-induced depressive-like behaviors accompanied by the restoration of impaired hippocampal neuroplasticity. Then, proteomic analysis shows that 351 differentially expressed proteins (DEPs) decrease after CUMS, while 24 DEPs increase remarkably with the resveratrol treatment. Among which, ELAVL4 is downregulated by CUMS, simultaneously increasing after resveratrol intervention, which acts as a protective protein in this process. Finally, brain-derived neurotrophic factor (Bdnf) mRNA is predicted to be the potential target of ELAVL4 and validated by molecular technologies. In conclusion, our findings demonstrate that resveratrol’s antidepressant efficacy is closely associated with ELAVL4, an RNA-binding protein, a mediated neuroplasticity pathway, potentially intersecting with the Bdnf mRNA. Overall, this research sheds light on the role of the ELAVL4-Bdnf mRNA pathway through neuroplasticity in resveratrol’s antidepressant action, which provides an mRNA regulation perspective for the development of novel antidepressants and understanding depression pathology.

23 January 2026 in Pharmaceuticals
Verified
Journal Article
Open access
PDF file
LWLan Wu
Lan Wu
HGHailong Ge
Hailong Ge
CLChen Li
Chen Li
JHJunjie Huang
Junjie Huang
LSLimin Sun
Limin Sun
GWGao Hua Wang
Gao Hua Wang
Background/Objectives: Apigenin, a naturally occurring flavonoid, has shown promising antidepressant-like effects in previous studies. However, its precise mechanisms remain unclear. This study aims to investigate the underlying neurobiological mechanisms mediating the antidepressant effects of apigenin in chronic unpredictable mild stress (CUMS)-induced mice. Methods: The male mice were subjected to 4-week CUMS, with or without treatment, followed by behavioral testing. Network pharmacology analysis was employed to predict relevant signaling pathways. The mRNA and protein expression levels of the PI3K/AKT/NRF2 pathway were measured. Oxidative stress was assessed through the measurement of malondialdehyde, glutathione, and superoxide dismutase levels. Results: Apigenin significantly ameliorated CUMS-induced depression-like behaviors. The PI3K/AKT pathway may mediate the antidepressant properties of apigenin with both PI3K and AKT emerging as core target molecules. Apigenin restored the activity of the PI3K/AKT/NRF2 pathway and oxidative stress in the hippocampus downregulated by CUMS. Conclusions: The present study demonstrates that apigenin ameliorates depression-like behaviors in mice exposed to CUMS and mitigates oxidative stress in the hippocampus, which is associated with the PI3K/AKT/NRF2 signaling pathway.

Verified
Journal Article
Open access
PDF file
SHSiyi He
Siyi He
ZRZhongyu Ren
Zhongyu Ren
LWLan Wu
Lan Wu
YXYinping Xie
Yinping Xie
LSLimin Sun
Limin Sun
GWGao Hua Wang
Gao Hua Wang
Women are twice as likely to suffer from major depressive disorder (MDD). The underlying mechanism between estrogen and depression is still unknown. We used ovariectomized rats to simulate menopausal status and established a depression model of chronic and acute stress. The therapeutic effects of estrogen were systematically studied through behavioral testing, Western blotting, ELISA, LC-MS, and cell experiments. In chronic stress, OVX rats showed depressive-like behaviors, and elevated hippocampal ER, BDNF, IL-1β/IL-18, and body weight. ERT reduced depression-like behavior by 64% to 76% in the behavioral test. ERT also reversed the molecules without affecting GPR30. In acute stress, ERT reduced depression-like behavior by 20% to 58% in the behavioral test. OVX decreased ER, BDNF, P2X7, IL-1β/IL-18, spine density, and microglia and increased the expression of GPR30. ERT reversed all the above. ERT normalized metabolic abnormalities caused by CUMS. Our study demonstrates that estrogen deficiency contributes to the onset and progression of depression in a rat model of menopause-like estrogen deficiency. Estrogen replacement therapy appears to alleviate depressive-like behaviors by reducing brain inflammation and supporting the brain’s adaptive capacities through ER. Furthermore, the dual function positions GPR30 as a promising potential target for future treatments of menopausal depression, and GPR30 regulates neuroinflammation and neuroplasticity through the NLRP3/P2X7/IL-1β pathway.