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Xia N, Wang J, Guo Q, Duan J, Wang X, Zhou P, Li J, Tang T, Li T, Li H, Wu Z, Yang M, Sun J, Guo D, Chang X, Zhang X. Deciphering the antidepressant effects of Rosa damascena essential oil mediated through the serotonergic synapse signaling pathway. J Ethnopharmacol 2024; 328:118007. [PMID: 38492791 DOI: 10.1016/j.jep.2024.118007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 02/08/2024] [Accepted: 03/02/2024] [Indexed: 03/18/2024]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Rosa damascena is an ancient plant with significance in both medicine and perfumery that have a variety of therapeutic properties, including antidepressant, anti-anxiety, and anti-stress effects. Rose damascena essential oil (REO) has been used to treat depression, anxiety and other neurological related disorders in Iranian traditional medicine. However, its precise mechanism of action remains elusive. AIM OF THE STUDY The aim of this study was to investigate the impact and mechanism underlying the influence of REO on chronic unpredictable mild stress (CUMS) rats. MATERIALS AND METHODS Gas chromatography-mass spectrometry (GC-MS) technique coupling was used to analyze of the components of REO. A CUMS rat model was replicated to assess the antidepressant effects of varying doses of REO. This assessment encompassed behavioral evaluations, biochemical index measurements, and hematoxylin-eosin staining. For a comprehensive analysis of hippocampal tissues, we employed transcriptomics and incorporated weighting coefficients by means of network pharmacology. These measures allowed us to explore differentially expressed genes and biofunctional pathways affected by REO in the context of depression treatment. Furthermore, GC-MS metabolomics was employed to assess metabolic profiles, while a joint analysis in Metscape facilitated the construction of a network elucidating the links between differentially expressed genes and metabolites, thereby elucidating potential relationships and clarifying key pathways regulated by REO. Finally, the expression of relevant proteins in the key pathways was determined through immunohistochemistry and Western blot analysis. Molecular docking was utilized to investigate the interactions between active components and key targets, thereby validating the experimental results. RESULTS REO alleviated depressive-like behavior, significantly elevated levels of the neurotransmitter 5-hydroxytryptamine (5-HT), and reduced hippocampal neuronal damage in CUMS rats. This therapeutic effect may be associated with the modulation of the serotonergic synapse signaling pathway. Furthermore, REO rectified metabolic disturbances, primarily through the regulation of amino acid metabolic pathways. Joint analysis revealed five differentially expressed genes (EEF1A1, LOC729197, ATP8A2, NDST4, and GAD2), suggesting their potential in alleviating depressive symptoms by modulating the serotonergic synapse signaling pathway and tryptophan metabolism. REO also modulated the 5-HT2A-mediated extracellular regulated protein kinases-cAMP-response element binding protein-brain-derived neurotrophic factor (ERK-CREB-BDNF) pathway. In addition, molecular docking results indicated that citronellol, geraniol and (E,E)-farnesol in REO may serve as key active ingredients responsible for its antidepressant effects. CONCLUSIONS This study is the first to report that REO can effectively alleviate CUMS-induced depression-like effects in rats. Additionally, the study offers a comprehensive understanding of its intricate antidepressant mechanism from a multi-omics and multi-level perspective. Our findings hold promise for the clinical application and further development of this essential oil.
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Affiliation(s)
- Ning Xia
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China
| | - Jie Wang
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China
| | - Qiuting Guo
- Xianyang Polytechnic Institute, Xianyang, 712000, Shaanxi, China
| | - Jiawei Duan
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China
| | - Xuan Wang
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China
| | - Peijie Zhou
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China
| | - Jinkai Li
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China
| | - Tiantian Tang
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China
| | - Taotao Li
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China
| | - Huiting Li
- Key Laboratory of Modern Preparation of TCM, Ministry of Education, Jiangxi University of Chinese Medicine, Nanchang, 330004, Jiangxi, China
| | - Zhenfeng Wu
- Key Laboratory of Modern Preparation of TCM, Ministry of Education, Jiangxi University of Chinese Medicine, Nanchang, 330004, Jiangxi, China
| | - Ming Yang
- Key Laboratory of Modern Preparation of TCM, Ministry of Education, Jiangxi University of Chinese Medicine, Nanchang, 330004, Jiangxi, China
| | - Jing Sun
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China
| | - Dongyan Guo
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China
| | - Xing Chang
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China.
| | - Xiaofei Zhang
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China.
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Wu Y, Zhang C, Duan S, Li Y, Lu L, Bajpai A, Yang C, Mi J, Tian G, Xu F, Qi D, Xu Z, Chi XD. TEAD1, MYO7A and NDUFC2 are novel functional genes associated with glucose metabolism in BXD recombinant inbred population. Diabetes Obes Metab 2024; 26:1775-1788. [PMID: 38385898 DOI: 10.1111/dom.15491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 01/12/2024] [Accepted: 01/17/2024] [Indexed: 02/23/2024]
Abstract
AIM The liver is an important metabolic organ that governs glucolipid metabolism, and its dysfunction may cause non-alcoholic fatty liver disease, type 2 diabetes mellitus, dyslipidaemia, etc. We aimed to systematic investigate the key factors related to hepatic glucose metabolism, which may be beneficial for understanding the underlying pathogenic mechanisms for obesity and diabetes mellitus. MATERIALS AND METHODS Oral glucose tolerance test (OGTT) phenotypes and liver transcriptomes of BXD mice under chow and high-fat diet conditions were collected from GeneNetwork. QTL mapping was conducted to pinpoint genomic regions associated with glucose homeostasis. Candidate genes were further nominated using a multi-criteria approach and validated to confirm their functional relevance in vitro. RESULTS Our results demonstrated that plasma glucose levels in OGTT were significantly affected by both diet and genetic background, with six genetic regulating loci were mapped on chromosomes 1, 4, and 7. Moreover, TEAD1, MYO7A and NDUFC2 were identified as the candidate genes. Functionally, siRNA-mediated TEAD1, MYO7A and NDUFC2 knockdown significantly decreased the glucose uptake and inhibited the transcription of genes related to insulin and glucose metabolism pathways. CONCLUSIONS Our study contributes novel insights to the understanding of hepatic glucose metabolism, demonstrating the impact of TEAD1, MYO7A and NDUFC2 on mitochondrial function in the liver and their regulatory role in maintaining in glucose homeostasis.
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Affiliation(s)
- Yingying Wu
- The Second School of Clinical Medicine of Binzhou Medical University, Yantai, China
| | - Chao Zhang
- Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China
| | - Shaofei Duan
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, Binzhou Medical University, Yantai, China
| | - Yushan Li
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, Binzhou Medical University, Yantai, China
| | - Lu Lu
- The University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Akhilesh Bajpai
- The University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Chunhua Yang
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, Binzhou Medical University, Yantai, China
| | - Jia Mi
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, Binzhou Medical University, Yantai, China
| | - Geng Tian
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, Binzhou Medical University, Yantai, China
| | - Fuyi Xu
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, Binzhou Medical University, Yantai, China
| | - Donglai Qi
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, Binzhou Medical University, Yantai, China
| | - Zhaowei Xu
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, Binzhou Medical University, Yantai, China
| | - Xiao Dong Chi
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, Binzhou Medical University, Yantai, China
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Xu F, Chen A, Pan S, Wu Y, He H, Han Z, Lu L, Orgil B, Chi X, Yang C, Jia S, Yu C, Mi J. Systems genetics analysis reveals the common genetic basis for pain sensitivity and cognitive function. CNS Neurosci Ther 2024; 30:e14557. [PMID: 38421132 PMCID: PMC10850811 DOI: 10.1111/cns.14557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 10/31/2023] [Accepted: 11/25/2023] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND There is growing evidence of a strong correlation between pain sensitivity and cognitive function under both physiological and pathological conditions. However, the detailed mechanisms remain largely unknown. In the current study, we sought to explore candidate genes and common molecular mechanisms underlying pain sensitivity and cognitive function with a transcriptome-wide association study using recombinant inbred mice from the BXD family. METHODS The pain sensitivity determined by Hargreaves' paw withdrawal test and cognition-related phenotypes were systematically analyzed in 60 strains of BXD mice and correlated with hippocampus transcriptomes, followed by quantitative trait locus (QTL) mapping and systems genetics analysis. RESULTS The pain sensitivity showed significant variability across the BXD strains and co-varies with cognitive traits. Pain sensitivity correlated hippocampual genes showed a significant involvement in cognition-related pathways, including glutamatergic synapse, and PI3K-Akt signaling pathway. Moreover, QTL mapping identified a genomic region on chromosome 4, potentially regulating the variation of pain sensitivity. Integrative analysis of expression QTL mapping, correlation analysis, and Bayesian network modeling identified Ring finger protein 20 (Rnf20) as the best candidate. Further pathway analysis indicated that Rnf20 may regulate the expression of pain sensitivity and cognitive function through the PI3K-Akt signaling pathway, particularly through interactions with genes Ppp2r2b, Ppp2r5c, Col9a3, Met, Rps6, Tnc, and Kras. CONCLUSIONS Our study demonstrated that pain sensitivity is associated with genetic background and Rnf20-mediated PI3K-Akt signaling may involve in the regulation of pain sensitivity and cognitive functions.
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Affiliation(s)
- Fuyi Xu
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and TreatmentBinzhou Medical UniversityYantaiChina
| | - Anran Chen
- The Affiliated Yantai Yuhuangding Hospital of Qingdao UniversityYantaiChina
| | - Shuijing Pan
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and TreatmentBinzhou Medical UniversityYantaiChina
| | - Yingying Wu
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and TreatmentBinzhou Medical UniversityYantaiChina
| | - Hongjie He
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and TreatmentBinzhou Medical UniversityYantaiChina
| | - Zhe Han
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and TreatmentBinzhou Medical UniversityYantaiChina
| | - Lu Lu
- University of Tennessee Health Science CenterMemphisTennesseeUSA
| | | | - XiaoDong Chi
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and TreatmentBinzhou Medical UniversityYantaiChina
| | - Cunhua Yang
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and TreatmentBinzhou Medical UniversityYantaiChina
| | - Shushan Jia
- Department of AnesthesiologyYanTai Affiliated Hospital of BinZhou Medical UniversityYantaiChina
| | - Cuicui Yu
- The Affiliated Yantai Yuhuangding Hospital of Qingdao UniversityYantaiChina
| | - Jia Mi
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and TreatmentBinzhou Medical UniversityYantaiChina
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Bernardo L, Lomagno A, Mauri PL, Di Silvestre D. Integration of Omics Data and Network Models to Unveil Negative Aspects of SARS-CoV-2, from Pathogenic Mechanisms to Drug Repurposing. Biology (Basel) 2023; 12:1196. [PMID: 37759595 PMCID: PMC10525644 DOI: 10.3390/biology12091196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 08/25/2023] [Accepted: 08/30/2023] [Indexed: 09/29/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused the COVID-19 health emergency, affecting and killing millions of people worldwide. Following SARS-CoV-2 infection, COVID-19 patients show a spectrum of symptoms ranging from asymptomatic to very severe manifestations. In particular, bronchial and pulmonary cells, involved at the initial stage, trigger a hyper-inflammation phase, damaging a wide range of organs, including the heart, brain, liver, intestine and kidney. Due to the urgent need for solutions to limit the virus' spread, most efforts were initially devoted to mapping outbreak trajectories and variant emergence, as well as to the rapid search for effective therapeutic strategies. Samples collected from hospitalized or dead COVID-19 patients from the early stages of pandemic have been analyzed over time, and to date they still represent an invaluable source of information to shed light on the molecular mechanisms underlying the organ/tissue damage, the knowledge of which could offer new opportunities for diagnostics and therapeutic designs. For these purposes, in combination with clinical data, omics profiles and network models play a key role providing a holistic view of the pathways, processes and functions most affected by viral infection. In fact, in addition to epidemiological purposes, networks are being increasingly adopted for the integration of multiomics data, and recently their use has expanded to the identification of drug targets or the repositioning of existing drugs. These topics will be covered here by exploring the landscape of SARS-CoV-2 survey-based studies using systems biology approaches derived from omics data, paying particular attention to those that have considered samples of human origin.
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Affiliation(s)
| | | | | | - Dario Di Silvestre
- Institute for Biomedical Technologies—National Research Council (ITB-CNR), 20054 Segrate, Italy; (L.B.); (A.L.); (P.L.M.)
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Yang X, Lin C, Liu J, Zhang Y, Deng T, Wei M, Pan S, Lu L, Li X, Tian G, Mi J, Xu F, Yang C. Identification of the regulatory mechanism of ACE2 in COVID-19-induced kidney damage with systems genetics approach. J Mol Med (Berl) 2023; 101:449-460. [PMID: 36951969 PMCID: PMC10034233 DOI: 10.1007/s00109-023-02304-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 02/16/2023] [Accepted: 03/06/2023] [Indexed: 03/24/2023]
Abstract
Studies showed that SARS-CoV-2 can directly target the kidney and induce renal damage. As the cell surface receptor for SARS-CoV-2 infection, the angiotensin-converting enzyme 2 (ACE2) plays a pivotal role for renal physiology and function. Thus, it is important to understand ACE2 through which pathway influences the pathogenesis of renal damage induced by COVID-19. In this study, we first performed an eQTL mapping for Ace2 in kidney tissues in 53 BXD mice strains. Results demonstrated that Ace2 is highly expressed and strongly controlled by a genetic locus on chromosome 16 in the kidney, with six genes (Dnase1, Vasn, Usp7, Abat, Mgrn1, and Rbfox1) dominated as the upstream modulator, as they are highly correlated with Ace2 expression. Gene co-expression analysis showed that Ace2 co-variates are significantly involved in the renin-angiotensin system (RAS) pathway which acts as a reno-protector. Importantly, we also found that Ace2 is positively correlated with Pdgf family members, particularly Pdgfc, which showed the most association among the 76 investigated growth factors. Mammalian Phenotype Ontology enrichment indicated that the cognate transcripts for both Ace2 and Pdgfc were mainly involved in regulating renal physiology and morphology. Among which, Cd44, Egfr, Met, Smad3, and Stat3 were identified as hub genes through protein-protein interaction analysis. Finally, in aligning with our systems genetics findings, we found ACE2, pdgf family members, and RAS genes decreased significantly in the CAKI-1 kidney cancer cells treated with S protein and receptor binding domain structural protein. Collectively, our data suggested that ACE2 work with RAS, PDGFC, as well as their cognate hub genes to regulate renal function, which could guide for future clinical prevention and targeted treatment for COVID-19-induced renal damage outcomes. KEY MESSAGES: • Ace2 is highly expressed and strongly controlled by a genetic locus on chromosome 16 in the kidney. • Ace2 co-variates are enriched in the RAS pathway. • Ace2 is strongly correlated with the growth factor Pdgfc. • Ace2 and Pdgfc co-expressed genes involved in the regulation of renal physiology and morphology. • SARS-CoV-2 spike glycoprotein induces down-regulation of Ace2, RAS, and Pdgfc.
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Affiliation(s)
- Xueling Yang
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, Binzhou Medical University, Shandong, Yantai, 264003, China
| | - Chunhua Lin
- Department of Urology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, Shandong, 264008, China
| | - Jian Liu
- Department of Plastic Surgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, 250014, China
| | - Ya Zhang
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, Binzhou Medical University, Shandong, Yantai, 264003, China
| | - Tingzhi Deng
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, Binzhou Medical University, Shandong, Yantai, 264003, China
| | - Mengna Wei
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, Binzhou Medical University, Shandong, Yantai, 264003, China
| | - Shuijing Pan
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, Binzhou Medical University, Shandong, Yantai, 264003, China
| | - Lu Lu
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, 38163, USA
| | - Xuri Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, Guangdong, 510060, China
| | - Geng Tian
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, Binzhou Medical University, Shandong, Yantai, 264003, China
| | - Jia Mi
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, Binzhou Medical University, Shandong, Yantai, 264003, China.
| | - Fuyi Xu
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, Binzhou Medical University, Shandong, Yantai, 264003, China.
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, 38163, USA.
| | - Chunhua Yang
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, Binzhou Medical University, Shandong, Yantai, 264003, China.
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Wang X, Bajpai AK, Gu Q, Ashbrook DG, Starlard-Davenport A, Lu L. Weighted gene co-expression network analysis identifies key hub genes and pathways in acute myeloid leukemia. Front Genet 2023; 14:1009462. [PMID: 36923792 PMCID: PMC10008864 DOI: 10.3389/fgene.2023.1009462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 02/13/2023] [Indexed: 03/01/2023] Open
Abstract
Introduction: Acute myeloid leukemia (AML) is the most common type of leukemia in adults. However, there is a gap in understanding the molecular basis of the disease, partly because key genes associated with AML have not been extensively explored. In the current study, we aimed to identify genes that have strong association with AML based on a cross-species integrative approach. Methods: We used Weighted Gene Co-Expression Network Analysis (WGCNA) to identify co-expressed gene modules significantly correlated with human AML, and further selected the genes exhibiting a significant difference in expression between AML and healthy mouse. Protein-protein interactions, transcription factors, gene function, genetic regulation, and coding sequence variants were integrated to identify key hub genes in AML. Results: The cross-species approach identified a total of 412 genes associated with both human and mouse AML. Enrichment analysis confirmed an association of these genes with hematopoietic and immune-related functions, phenotypes, processes, and pathways. Further, the integrated analysis approach identified a set of important module genes including Nfe2, Trim27, Mef2c, Ets1, Tal1, Foxo1, and Gata1 in AML. Six of these genes (except ETS1) showed significant differential expression between human AML and healthy samples in an independent microarray dataset. All of these genes are known to be involved in immune/hematopoietic functions, and in transcriptional regulation. In addition, Nfe2, Trim27, Mef2c, and Ets1 harbor coding sequence variants, whereas Nfe2 and Trim27 are cis-regulated, making them attractive candidates for validation. Furthermore, subtype-specific analysis of the hub genes in human AML indicated high expression of NFE2 across all the subtypes (M0 through M7) and enriched expression of ETS1, LEF1, GATA1, and TAL1 in M6 and M7 subtypes. A significant correlation between methylation status and expression level was observed for most of these genes in AML patients. Conclusion: Findings from the current study highlight the importance of our cross-species approach in the identification of multiple key candidate genes in AML, which can be further studied to explore their detailed role in leukemia/AML.
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Affiliation(s)
- Xinfeng Wang
- Department of Hematology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China
| | - Akhilesh K Bajpai
- Department of Genetics, Genomics, and Informatics, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Qingqing Gu
- Department of Hematology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.,Department of Genetics, Genomics, and Informatics, University of Tennessee Health Science Center, Memphis, TN, United States
| | - David G Ashbrook
- Department of Genetics, Genomics, and Informatics, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Athena Starlard-Davenport
- Department of Genetics, Genomics, and Informatics, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Lu Lu
- Department of Genetics, Genomics, and Informatics, University of Tennessee Health Science Center, Memphis, TN, United States
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Wang W, Wang Y, Guo Q, Li H, Wang Z, Li J, Li T, Tang T, Wang Y, Jia Y, Wang Y, Zou J, Shi Y, Guo D, Yang M, Zhang X, Sun J. Valerian essential oil for treating insomnia via the serotonergic synapse pathway. Front Nutr 2022; 9:927434. [PMID: 35990355 PMCID: PMC9387164 DOI: 10.3389/fnut.2022.927434] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Accepted: 07/04/2022] [Indexed: 11/13/2022] Open
Abstract
Valerian volatile oil can be used in the treatment of insomnia; however, the active components and mechanisms of action are currently unclear. Therefore, we used transcriptome sequencing and weight coefficient network pharmacology to predict the effective components and mechanism of action of valerian volatile oil in an insomnia model induced by intraperitoneal injection of para-Chlorophenylalanine (PCPA) in SD rats. Valerian essential oil was given orally for treatment and the contents of 5-hydroxytryptamine receptor 1 A (5-HT1AR), γ-aminobutyric acid (GABA), cyclic adenosine monophosphate (cAMP), and protein kinase A (PKA) in the hippocampus of rats in each group were detected by enzyme-linked immunosorbent assay (ELISA), western blot, Polymerase Chain Reaction (PCR), and immunohistochemistry. The results showed that after treatment with valerian essential oil, insomnia rats showed significantly prolonged sleep duration and alleviated insomnia-induced tension and anxiety. Regarding the mechanism of action, we believe that caryophyllene in valerian essential oil upregulates the 5-HT1AR receptor to improve the activity or affinity of the central transmitter 5-HT, increase the release of 5-HT, couple 5-HT with a G protein coupled receptor, convert adenosine triphosphate (ATP) into cAMP (catalyzed by ADCY5), and then directly regulate the downstream pathway. Following pathway activation, we propose that the core gene protein kinase PKA activates the serotonergic synapse signal pathway to increase the expression of 5-HT and GABA, thus improving insomnia symptoms and alleviating anxiety. This study provides a theoretical basis for the application of valerian volatile oil in health food.
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Affiliation(s)
- Wenfei Wang
- Key Laboratory of Basic and New Drug Research of Traditional Chinese Medicine, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Yichun Wang
- School of Pharmaceutical Sciences, College of Pharmacy, Kyushu University, Fukuoka, Japan
| | - Qiuting Guo
- Xianyang Vocational Technical College, College of Pharmacy, Xianyang, China
| | - Huiting Li
- Key Laboratory of Basic and New Drug Research of Traditional Chinese Medicine, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China
- Key Laboratory of Modern Preparation of TCM, Ministry of Education, College of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Zhaoqiang Wang
- Shaanxi Haitian Pharmaceutical Co., Ltd., Xianyang, China
| | - Jia Li
- Key Laboratory of Basic and New Drug Research of Traditional Chinese Medicine, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Taotao Li
- Key Laboratory of Basic and New Drug Research of Traditional Chinese Medicine, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Tiantian Tang
- Key Laboratory of Basic and New Drug Research of Traditional Chinese Medicine, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Yujiao Wang
- Key Laboratory of Basic and New Drug Research of Traditional Chinese Medicine, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Yanzhuo Jia
- Key Laboratory of Basic and New Drug Research of Traditional Chinese Medicine, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Yao Wang
- Key Laboratory of Basic and New Drug Research of Traditional Chinese Medicine, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Junbo Zou
- Key Laboratory of Basic and New Drug Research of Traditional Chinese Medicine, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Yajun Shi
- Key Laboratory of Basic and New Drug Research of Traditional Chinese Medicine, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Dongyan Guo
- Key Laboratory of Basic and New Drug Research of Traditional Chinese Medicine, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Ming Yang
- Xianyang Vocational Technical College, College of Pharmacy, Xianyang, China
| | - Xiaofei Zhang
- Key Laboratory of Basic and New Drug Research of Traditional Chinese Medicine, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China
- Key Laboratory of Modern Preparation of TCM, Ministry of Education, College of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Jing Sun
- Key Laboratory of Basic and New Drug Research of Traditional Chinese Medicine, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China
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Liu J, Yang C, Zhang H, Hu W, Bergquist J, Wang H, Deng T, Yang X, Zhang C, Zhu Y, Chi X, Mi J, Wang Y. Quantitative proteomics approach reveals novel biomarkers and pathological mechanism of keloid. Proteomics Clin Appl 2022; 16:e2100127. [PMID: 35435317 PMCID: PMC9541363 DOI: 10.1002/prca.202100127] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 04/01/2022] [Accepted: 04/16/2022] [Indexed: 12/30/2022]
Abstract
BACKGROUND Keloid is a pathological skin scar formation with complex and unclear molecular pathology mechanism. Novel biomarkers and associated mechanisms are needed to improve current therapies. OBJECTIVES To identify novel biomarkers and underlying pathological mechanisms of keloids. METHODS Six pairs of keloid scar tissues and corresponding normal skin tissues were quantitatively analyzed by a high-resolution label-free mass spectrometry-based proteomics approach. Differential protein expression data was further analyzed by a comprehensive bioinformatics approach to identify novel biomarkers and mechanistic pathways for keloid formation. Candidate biomarkers were validated experimentally. RESULTS In total, 1359 proteins were identified by proteomic analysis. Of these, 206 proteins exhibited a significant difference in expression between keloid scar and normal skin tissues. RCN3 and CALU were significantly upregulated in keloids. RCN1 and PDGFRL were uniquely expressed in keloids. Pathway analysis suggested that the XBP1-mediated unfolded protein response (UPR) pathway was involved in keloid formation. Moreover, a PDGFRL centric gene coexpression network was constructed to illustrate its function in skin. CONCLUSIONS AND CLINICAL RELEVANCE Our study proposed four novel biomarkers and highlighted the role of XBP1-mediated UPR pathway in the pathology of keloids. It provided novel biological insights that contribute to develop novel therapeutic strategies for keloids.
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Affiliation(s)
- Jian Liu
- Department of Plastic Surgery, Shandong Provincial Qianfoshan HospitalCheeloo College of Medicine, Shandong UniversityJinanShandongChina,Department of Plastic SurgeryThe First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan HospitalJinanShandongChina,Jinan Clinical Research Center for Tissue Engineering Skin Regeneration and wound RepairJinanShandongChina
| | - Chunhua Yang
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, School of PharmacyBinzhou Medical UniversityYantaiShandongChina
| | - Huayu Zhang
- Department of Plastic Surgery, Shandong Provincial Qianfoshan HospitalCheeloo College of Medicine, Shandong UniversityJinanShandongChina,Jinan Clinical Research Center for Tissue Engineering Skin Regeneration and wound RepairJinanShandongChina
| | - Wei Hu
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, School of PharmacyBinzhou Medical UniversityYantaiShandongChina
| | - Jonas Bergquist
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, School of PharmacyBinzhou Medical UniversityYantaiShandongChina,Department of Chemistry – BMC, Analytical Chemistry and NeurochemistryUppsala UniversityUppsalaSweden
| | - Helen Wang
- Department of Medical Biochemistry and Microbiology, BMCUppsala UniversityUppsalaSweden
| | - Tingzhi Deng
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, School of PharmacyBinzhou Medical UniversityYantaiShandongChina
| | - Xueling Yang
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, School of PharmacyBinzhou Medical UniversityYantaiShandongChina
| | - Chao Zhang
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, School of PharmacyBinzhou Medical UniversityYantaiShandongChina
| | - Yanping Zhu
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, School of PharmacyBinzhou Medical UniversityYantaiShandongChina
| | - Xiaodong Chi
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, School of PharmacyBinzhou Medical UniversityYantaiShandongChina
| | - Jia Mi
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, School of PharmacyBinzhou Medical UniversityYantaiShandongChina
| | - Yibing Wang
- Department of Plastic Surgery, Shandong Provincial Qianfoshan HospitalCheeloo College of Medicine, Shandong UniversityJinanShandongChina,Department of Plastic SurgeryThe First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan HospitalJinanShandongChina,Jinan Clinical Research Center for Tissue Engineering Skin Regeneration and wound RepairJinanShandongChina
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Xu F, Gao J, Orgil BO, Bajpai AK, Gu Q, Purevjav E, Davenport AS, Li K, Towbin JA, Black DD, Pierre JF, Lu L. Ace2 and Tmprss2 Expressions Are Regulated by Dhx32 and Influence the Gastrointestinal Symptoms Caused by SARS-CoV-2. J Pers Med 2021; 11:1212. [PMID: 34834564 PMCID: PMC8621576 DOI: 10.3390/jpm11111212] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 11/12/2021] [Accepted: 11/12/2021] [Indexed: 12/15/2022] Open
Abstract
Studies showed that the gastrointestinal (GI) tract is one of the most important pathways for SARS-CoV-2 infection and coronavirus disease 2019 (COVID-19). As SARS-CoV-2 cellular entry depends on the ACE2 receptor and TMPRSS2 priming of the spike protein, it is important to understand the molecular mechanisms through which these two proteins and their cognate transcripts interact and influence the pathogenesis of COVID-19. In this study, we quantified the expression, associations, genetic modulators, and molecular pathways for Tmprss2 and Ace2 mRNA expressions in GI tissues using a systems genetics approach and the expanded family of highly diverse BXD mouse strains. The results showed that both Tmprss2 and Ace2 are highly expressed in GI tissues with significant covariation. We identified a significant expression quantitative trait locus on chromosome 7 that controls the expression of both Tmprss2 and Ace2. Dhx32 was found to be the strongest candidate in this interval. Co-expression network analysis demonstrated that both Tmprss2 and Ace2 were located at the same module that is significantly associated with other GI-related traits. Protein-protein interaction analysis indicated that hub genes in this module are linked to circadian rhythms. Collectively, our data suggested that genes with circadian rhythms of expression may have an impact on COVID-19 disease, with implications related to the timing and treatment of COVID-19.
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Affiliation(s)
- Fuyi Xu
- School of Pharmacy, Binzhou Medical University, Yantai 264003, China;
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA; (J.G.); (A.K.B.); (Q.G.); (A.S.D.)
| | - Jun Gao
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA; (J.G.); (A.K.B.); (Q.G.); (A.S.D.)
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai 201106, China
| | - Buyan-Ochir Orgil
- Department of Pediatrics, University of Tennessee Health Science Center, Memphis, TN 38163, USA; (B.-O.O.); (E.P.); (J.A.T.); (D.D.B.)
- Children’s Foundation Research Institute, Le Bonheur Children’s Hospital Memphis, Memphis, TN 38103, USA
| | - Akhilesh Kumar Bajpai
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA; (J.G.); (A.K.B.); (Q.G.); (A.S.D.)
| | - Qingqing Gu
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA; (J.G.); (A.K.B.); (Q.G.); (A.S.D.)
| | - Enkhsaikhan Purevjav
- Department of Pediatrics, University of Tennessee Health Science Center, Memphis, TN 38163, USA; (B.-O.O.); (E.P.); (J.A.T.); (D.D.B.)
- Children’s Foundation Research Institute, Le Bonheur Children’s Hospital Memphis, Memphis, TN 38103, USA
| | - Athena S. Davenport
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA; (J.G.); (A.K.B.); (Q.G.); (A.S.D.)
| | - Kui Li
- Department of Microbiology, Immunology, and Biochemistry, University of Tennessee Health Science Center, Memphis, TN 38163, USA;
| | - Jeffrey A. Towbin
- Department of Pediatrics, University of Tennessee Health Science Center, Memphis, TN 38163, USA; (B.-O.O.); (E.P.); (J.A.T.); (D.D.B.)
- Children’s Foundation Research Institute, Le Bonheur Children’s Hospital Memphis, Memphis, TN 38103, USA
- Pediatric Cardiology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Dennis D. Black
- Department of Pediatrics, University of Tennessee Health Science Center, Memphis, TN 38163, USA; (B.-O.O.); (E.P.); (J.A.T.); (D.D.B.)
- Children’s Foundation Research Institute, Le Bonheur Children’s Hospital Memphis, Memphis, TN 38103, USA
| | - Joseph F. Pierre
- Department of Pediatrics, University of Tennessee Health Science Center, Memphis, TN 38163, USA; (B.-O.O.); (E.P.); (J.A.T.); (D.D.B.)
- Children’s Foundation Research Institute, Le Bonheur Children’s Hospital Memphis, Memphis, TN 38103, USA
| | - Lu Lu
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA; (J.G.); (A.K.B.); (Q.G.); (A.S.D.)
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Wang W, Wang Y, Zou J, Jia Y, Wang Y, Li J, Wang C, Sun J, Guo D, Wang F, Wu Z, Yang M, Wu L, Zhang X, Shi Y. The Mechanism Action of German Chamomile ( Matricaria recutita L.) in the Treatment of Eczema: Based on Dose-Effect Weight Coefficient Network Pharmacology. Front Pharmacol 2021; 12:706836. [PMID: 34658853 PMCID: PMC8515037 DOI: 10.3389/fphar.2021.706836] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Accepted: 08/13/2021] [Indexed: 01/03/2023] Open
Abstract
To determine the active ingredients in German chamomile volatile oil and the mechanism of action in the treatment of eczema, this study used two parameters (ingredient content and oil–water partition coefficient) and established a new network pharmacology method based on the dose–effect weight coefficient. Through the new network pharmacology method, we found that German chamomile volatile oil regulated T-cell lymphatic subpopulations to inhibit the Th17 cell differentiation signaling pathway. This resulted in a reduction of interleukin 17 (IL-17), thereby inhibiting the activation of the nuclear factor kappa beta (NF-κB) and MAPK pathways, decreasing the secretion of the pro-inflammatory factors (tumor necrosis factor alpha (TNF-α) and interleukin 6 (IL-6)), and reducing inflammation. In this study, a new dose–effect relationship synergistic network pharmacology method was established to provide a new method for the screening of effective ingredients and pathways of drugs, and to provide a basis for the follow-up studies of German chamomile volatile oil in the treatment of eczema.
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Affiliation(s)
- Wenfei Wang
- Department of Pharmaceutics, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Yichun Wang
- Department of Pharmaceutics, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Junbo Zou
- Department of Pharmaceutics, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China.,Department of Pharmaceutics, The Key Laboratory of Basicand New Drug Research of Traditional Chinese Medicine, Shaaxi University of Chinese Medicine, Xianyang, China
| | - Yanzhuo Jia
- Department of Pharmaceutics, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Yao Wang
- Department of Pharmaceutics, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Jia Li
- Department of Pharmaceutics, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Changli Wang
- Department of Pharmaceutics, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China.,Department of Pharmaceutics, The Key Laboratory of Basicand New Drug Research of Traditional Chinese Medicine, Shaaxi University of Chinese Medicine, Xianyang, China
| | - Jing Sun
- Department of Pharmaceutics, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China.,Department of Pharmaceutics, The Key Laboratory of Basicand New Drug Research of Traditional Chinese Medicine, Shaaxi University of Chinese Medicine, Xianyang, China
| | - Dongyan Guo
- Department of Pharmaceutics, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China.,Department of Pharmaceutics, The Key Laboratory of Basicand New Drug Research of Traditional Chinese Medicine, Shaaxi University of Chinese Medicine, Xianyang, China
| | - Fang Wang
- Department of Pharmaceutics, Key Laboratory of Modern Preparation of Traditional Chinese Medicine, Ministry of Education, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Zhenfeng Wu
- Department of Pharmaceutics, Key Laboratory of Modern Preparation of Traditional Chinese Medicine, Ministry of Education, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Ming Yang
- Department of Pharmaceutics, Key Laboratory of Modern Preparation of Traditional Chinese Medicine, Ministry of Education, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Lei Wu
- Henan Feinari Aromatic Biotechnology Co., Ltd, Zhumadian, China
| | - Xiaofei Zhang
- Department of Pharmaceutics, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China.,Department of Pharmaceutics, The Key Laboratory of Basicand New Drug Research of Traditional Chinese Medicine, Shaaxi University of Chinese Medicine, Xianyang, China.,Department of Pharmaceutics, Key Laboratory of Modern Preparation of Traditional Chinese Medicine, Ministry of Education, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Yajun Shi
- Department of Pharmaceutics, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China.,Department of Pharmaceutics, The Key Laboratory of Basicand New Drug Research of Traditional Chinese Medicine, Shaaxi University of Chinese Medicine, Xianyang, China
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