Min Wei

Dr. Min Wei

orcid

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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27 December 2022 in CNS Neuroscience & Therapeutics
Verified
Journal Article
Open access
LYLu Yan
Lu Yan
CLChu‐Han Liu
Chu‐Han Liu
LXLi Xu
Li Xu
YQYi‐Yun Qian
Yi‐Yun Qian
PSPing‐Ping Song
Ping‐Ping Song
BLBao‐Lin Liu
Bao‐Lin Liu
Introduction: Kynurenine (KYN) accumulation in periphery induces brain injury, responsible for depression. α‐Asarone is a simple phenylpropanoids that exerts beneficial effects on central nervous system. However, the effect of α‐asarone on periphery is unexplored.Aims: Here, we investigated its protective role against depression from the aspect of KYN metabolism in skeletal muscle.Methods: The antidepressant effects of α‐asarone were evaluated in chronic mild stress (CMS) and muscle‐specific PGC‐1α‐deficient mice. The effects of KYN metabolism were determined in mice and C2C12 myoblasts.Results: α‐Asarone exerted antidepressant effects in CMS and KYN‐challenged mice via modulating KYN metabolism. In myoblasts, α‐asarone regulated PGC‐1α induction via cAMP/CREB signaling and upregulated KYN aminotransferases (KATs) to increase KYN clearance in a manner dependent on PGC‐1α. KAT function is coupled with malate–aspartate shuttle (MAS), while α‐asarone combated oxidative stress to protect MAS and mitochondrial integrity by raising the NAD+/NADH ratio, ensuring effective KYN disposal. In support, the antidepressant effect of α‐asarone was diminished by muscle‐specific PGC‐1α deficient mice subjected to KYN challenge.Conclusion: KATs coupled with MAS to clear KYN in muscle. α‐Asarone increased PGC‐1α induction and promoted KYN disposal in muscle, suggesting that protection of mitochondria is a way for pharmacological intervention to depression.

1 January 2020 in Evidence-Based Complementary and Alternative Medicine
Verified
Journal Article
Open access
PDF file
LYLu Yan
Lu Yan
GMGail Mahady
Gail Mahady
YQYiyun Qian
Yiyun Qian
PSPingping Song
Pingping Song
TJTunyu Jian
Tunyu Jian
MWMin Wei
Min Wei
Acori Tatarinowii Rhizome (ATR, the dried rhizome of Acorus tatarinowii Schott), a well‐recognized traditional Chinese herbal medicine, is prescribed to treat neurological disorders. The essential oil is considered as the active fraction of ATR, and the neuroprotection of ATR essential oil (ATEO) is proven, including the protection against oxidative stress. However, the cellular mechanism of ATEO against oxidative stress has not been fully illustrated. In this study, to investigate the cellular mechanism of ATEO, the cytoprotective effect of ATEO against H2O2‐induced injury was revealed in PC12 cells. ATEO treatment increased the viability of cells affected by H2O2‐mediated injury, inhibited reactive oxygen species (ROS) accumulation, and induced the expression of several antioxidant proteins (SODs, GPx, and UCPs). The cytoprotective effect of ATEO was related to upregulation of peroxisome proliferator‐activated receptor gamma coactivator 1‐alpha (PGC‐1α) expression, which was counteracted by PGC‐1α specific knockdown. Using inhibitor of protein kinase A (PKA), we found that cAMP‐response element binding protein (CREB) activation was involved in ATEO‐induced PGC‐1α expression. Taken together, we suggest that ATEO effectively prevents H2O2‐induced cell injury possibly through the activation of CREB/PGC‐1α signaling in PC12 cells. The results provide a molecular insight into the effect of ATEO on cytoprotection against oxidative stress.

17 August 2020 in BMC Complementary Medicine and Therapies
Verified
Journal Article
Open access
PDF file
LYLu Yan
Lu Yan
ZLZhanzhan Liu
Zhanzhan Liu
LXLi XU
Li XU
YQYiyun Qian
Yiyun Qian
PSPingping Song
Pingping Song
MWMin Wei
Min Wei
Background: Acori Tatarinowii Rhizome (ATR) is a well-recognized Chinese herbal medicine prescribed to treat neurological disorders. The essential oil (ATEO) is considered as the active fraction of ATR and the content of ATEO is used as the only indicator for ATR content determination. The quality of ATEO varies widely due to region difference; however, little is known about how to study ATEO quality chemically and biologically in response to region difference. Thus, it is of great importance to identify volatile active components in ATEO to conduct quality study. In this study, we analyzed ATEO from different regions in China using chemical component analysis combined with biological activity evaluation.Methods: GC-MS was used to obtain different volatile component profiles of ATEO and significantly changed volatile components were screened out. The neuroprotective activities of ATEO, including anti-oxidation, anti-inflammation and neurotrophic functions, were revealed in C6 glioma cells. The correlation study between the bioactivities and the components was performed.Results: 57 volatile components, including terpenoids, phenylpropanoids, aromatic compounds, and other aliphatic compounds, were identified. 8 volatile components (β-asarone, cis-methyl isoeugenol, γ-asarone, methyleugenol, calarene, longifolene, β-caryophyllene and caryophyllene oxide) from ATEO were significantly changed due to region difference and 2 of them (β-asarone and γ-asarone) showed strong correlation with neuroprotective activities.Conclusions: Our results reveal that ATEO from different regions in China show great changes in chemical composition and biological activity. Moreover, phenylpropanoids (β-asarone and γ-asarone) present strong correlation with the bioactivities, which are considered as volatile active components in ATEO. The findings will be useful for the development of quality study of ATEO.

16 August 2021 in Frontiers in Genetics
Verified
Journal Article
Open access
CBChunmei Ban
Chunmei Ban
FYFeiyan Yang
Feiyan Yang
MWMin Wei
Min Wei
QLQin Liu
Qin Liu
JWJiankun Wang
Jiankun Wang
JHJinxiong Huang
Jinxiong Huang
Tumor progression includes the obtainment of progenitor and stem cell-like features and the gradual loss of a differentiated phenotype. Stemness was defined as the potential for differentiation and self-renewal from the cell of origin. Previous studies have confirmed the effective application of stemness in a number of malignancies. However, the mechanisms underlying the growth and maintenance of multiple myeloma (MM) stem cells remain unclear. We calculated the stemness index for samples of MM by utilizing a novel one-class logistic regression (OCLR) machine learning algorithm and found that mRNA expression-based stemness index (mRNAsi) was an independent prognostic factor of MM. Based on the same cutoff value, mRNAsi could stratify MM patients into low and high groups with different outcomes. We identified 127 stemness-related signatures using weighted gene co-expression network analysis (WGCNA) and differential expression analysis. Functional annotation and pathway enrichment analysis indicated that these genes were mainly involved in the cell cycle, cell differentiation, and DNA replication and repair. Using the molecular complex detection (MCODE) algorithm, we identified 34 pivotal signatures. Meanwhile, we conducted unsupervised clustering and classified the MM cohorts into three MM stemness (MMS) clusters with distinct prognoses. Samples in MMS-cluster3 possessed the highest stemness fractions and the worst prognosis. Additionally, we applied the ESTIMATE algorithm to infer differential immune infiltration among the three MMS clusters. The immune core and stromal score were significantly lower in MMS-cluster3 than in the other clusters, supporting the negative relation between stemness and anticancer immunity. Finally, we proposed a prognostic nomogram that allows for individualized assessment of the 3- and 5-year overall survival (OS) probabilities among patients with MM. Our study comprehensively assessed the MM stemness index based on large cohorts and built a 34-gene based classifier for predicting prognosis and potential strategies for stemness treatment.

23 August 2024 in Molecules
Verified
Journal Article
Open access
PDF file
XWXinwei Wang
Xinwei Wang
YQYiyun Qian
Yiyun Qian
MWMin Wei
Min Wei
Morus alba L. is a tradition medical and edible plant. It is rich in many important bioactive components. However, there is a dearth of systematic information about the components. Here, the Mori Cortex, Mori Folium, Mori Fructus, and Mori Ramulus were studied. Ultrahigh-performance liquid chromatography-mass spectrometry (UHPLC–MS) is used to study primary and secondary metabolites. Eight hundred two metabolites were identified and classified into 10 different categories in total. Correlation analysis, hierarchical clustering analysis, and principal component analysis of metabolites showed that different parts of the sample could be significantly different. In different medicinal parts, alkaloids accounted for 4.0%, 3.6%, 5.1%, and 4.5%; flavonoids accounted for 0.7%, 27.2%, 5.6%, 1.2%; terpenes accounted for 20.1%, 2.1%, 2.6%, 2.5%. Furthermore, the abundance of phenols, phenylpropanoids, and lipids metabolites sequentially accounted for 2.3–4.4%, 0.5–1.8%, and 2.4–5.3%. These results have improved our understanding of metabolites and provided a reference for research on the medicinal and edible value of Morus alba L. In addition, the study reveals the correlation between the components of Traditional Chinese medicine and the basic theory of TCM properties and reinterprets the ancient wisdom in the world’s traditional herbs through the perspective of modern science.

19 May 2021 in Research Square
Verified
Preprint
Open access
PDF file
LYLu Yan
Lu Yan
YQYiyun Qian
Yiyun Qian
CLChuhan Liu
Chuhan Liu
ZLZhanzhan Liu
Zhanzhan Liu
PSPingping Song
Pingping Song
MWMin Wei
Min Wei
Background: Acanthopanacis Cortex (AC) is a valuable Chinese herbal medicine in Eleutherococcus Maxim., which has the effects of immune inflammatory modulation, anti-stress, anti-fatigue, sedation and analgesia. The functions of herbs from Eleutherococcus Maxim. involve neuroactivity, anti-fatigue, anti-stress and immune inflammatory modulation, and the peripheral functions of which are consistent with AC. However, the central nervous system function of AC has not been clearly illustrated. Since immune inflammatory modulation plays a critical role in the treatment of depression. In this study, we investigated the effect of AC against depression through immune inflammatory modulation.Methods: Chronic mild stress (CMS)-induced depressive mice were used to evaluate the effect of AC against depression. Behavior study and detection of neurotransmitters, neurotrophic factors and pro-inflammatory cytokines were carried out in the study. Interleukin-17 (IL-17) signaling cascade was involved to further study the underlying mechanism of AC against depression.Results: AC had a beneficial effect on CMS-induced depressive mice, including improvement in depressive behavior and modulation of the levels of neurotransmitters, neurotrophic factors and pro-inflammatory cytokines. Moreover, AC was able to suppress IL-17-midiated signaling cascade and thereby alleviating neuroinflammation and depression.Conclusions: Our results revealed that AC showed great effects on anti-depression through immune inflammatory modulation. These findings provide an insight into anti-depression therapy, which will be useful for the development of clinical application of AC.