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Chen LL, Zhu G, Xie JP. Mechanism of network pharmacology of Erzhi Pill and Erxian Decoction in treating climacteric syndrome with "treating the same disease with different methods": A review. Medicine (Baltimore) 2024; 103:e38440. [PMID: 38847696 PMCID: PMC11155544 DOI: 10.1097/md.0000000000038440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 05/10/2024] [Indexed: 06/10/2024] Open
Abstract
Network pharmacology and molecular docking methods were used in the present study to clarify the molecular mechanism of two traditional Chinese medicine prescriptions of climacteric syndrome. Based on oral availability and drug similarity, the main active components of Erzhi Pill and Erxian Decoction were screened through the platform of traditional Chinese medicine system pharmacology. The target database of climacteric syndrome was established by using GENECARD, OMIM, PharmGKB, Targets and Drugbank. The "component - target" network diagram was constructed using Cytoscape software (version 3.8.2). Topology analysis, module analysis, and GO and KEGG enrichment analyses were used to explore the core target and action pathway of Erzhi Pill-Erxian Decoction for treating climacteric syndrome of same disease with different treatments. There were 16 active components and 103 corresponding targets found in Erzhi Pill; 69 active components and 121 corresponding targets were found in Erxian Decoction; and 100 potential targets were found in Erzhi Pill and Erxian Decoction. Through network analysis, topology and module analysis, TP53, AKT1, Jun, ESR1, IL1B, CASP3, MMP9, PTGS2, HIF1A, MYC and EGFR could be considered as potential targets of the 2 prescriptions for alleviating climacteric syndrome. The effects of Erzhi pill and Erxian Decoction on climacteric syndrome are mainly in the pathway of lipid and atherosclerosis, AGE-RAGE signaling pathway and PI3K-Akt signaling pathway in diabetic complications. The active components in Erzhi Pill - Erxian Decoction, such as quercetin, show considerable potential as a candidate drug for the treatment of climacteric syndrome.
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Affiliation(s)
- Lin-Lin Chen
- Department of Gynaecology, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Guang Zhu
- Department of Gynaecology, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Ji-Ping Xie
- Department of Gynaecology, Tongde Hospital of Zhejiang Province, Hangzhou, China
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Zhou S, Hua R, Quan S. N6-methyladenosine regulator-mediated methylation modification patterns and immune infiltration characterization in Polycystic Ovary Syndrome (PCOS). J Ovarian Res 2023; 16:73. [PMID: 37046273 PMCID: PMC10091541 DOI: 10.1186/s13048-023-01147-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 03/29/2023] [Indexed: 04/14/2023] Open
Abstract
BACKGROUND Polycystic ovary syndrome (PCOS) is a multisystem-related disease whose pathophysiology is still unclear. Several regulators of N6-methyladenosine (m6A) modification were confirmed to play a regulatory role in PCOS. Nonetheless, the roles of m6A regulators in PCOS are not fully demonstrated. MATERIALS AND METHODS Four mRNA expression profiling microarrays were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed m6A regulators between PCOS and normal patients were identified by R software. A random forest modal and nomogram were developed to assess the relationship between m6A regulators and the occurrence risk of PCOS. A consensus clustering method was utilized to distinctly divide PCOS patients into two m6A subtypes (m6A cluster A/B). The patterns of differential expression and immune infiltration were explored between the two m6A clusters. RESULTS In this study, 22 significant m6A regulators were identified between healthy controls and PCOS patients. The random forest model determined three optimal m6A regulators which are related to the occurrence risk of PCOS, including YTHDF1, RBM15 and METTL14. A nomogram was established based on these genes, and its predictive reliability was validated by decision curve analysis. The consensus clustering algorithm distinctly divided PCOS cases into two m6A subtypes. The ssGSEA algorithm found that the immune infiltration was markedly enriched in m6A cluster B than in cluster A. The m6A-pattern related differentially expressed genes (DEGs) of the two m6A subtypes were demonstrated by differential expression analysis. We found that they were enriched in immune-related genes and various infection pathways. Based on the m6A-pattern related DEGs, the PCOS patients were classified into two m6A-pattern related genomic subtypes (gene clusters A and B). CONCLUSIONS The present study provided evidence concerning the different modification patterns of m6A regulators in PCOS compared with normal patients. This study will help clarify the overall impact of m6A modification patterns and related immune infiltration on PCOS.
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Affiliation(s)
- Sihan Zhou
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Rui Hua
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
| | - Song Quan
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
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Alwan IA, Al-Heety RA. Association of tumor necrosis factor-α (−308 G/A) and interleukin-10 (−1082 A/G) gene polymorphisms with polycystic ovary syndrome in Iraqi women. Meta Gene 2021. [DOI: 10.1016/j.mgene.2021.100976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Ullah A, Wang MJ, Yang JP, Adu-Gyamfi EA, Czika A, Sah SK, Feng Q, Wang YX. Ovarian inflammatory mRNA profiles of a dehydroepiandrosterone plus high-fat diet-induced polycystic ovary syndrome mouse model. Reprod Biomed Online 2021; 44:791-802. [DOI: 10.1016/j.rbmo.2021.10.024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 10/15/2021] [Accepted: 10/25/2021] [Indexed: 10/19/2022]
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Alkhuriji AF, Al Omar SY, Babay ZA, El-khadragy MF, Mansour LA, Alharbi WG, Khalil MI. Association of IL-1β, IL-6, TNF-α, and TGFβ1 Gene Polymorphisms with Recurrent Spontaneous Abortion in Polycystic Ovary Syndrome. DISEASE MARKERS 2020; 2020:6076274. [PMID: 32454906 PMCID: PMC7232732 DOI: 10.1155/2020/6076274] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Revised: 03/12/2020] [Accepted: 04/18/2020] [Indexed: 12/13/2022]
Abstract
Recurrent spontaneous abortion (RSA) is a common pregnancy-associated complication of polycystic ovary syndrome (PCOS) which is an endocrine malfunction disease. Patients with PCOS may have several underlying contributing and interrelated factors, which have been reported in women with RSA. The incidence rate between PCOS and RSA remains uncertain. The aim of this study is to determine the possible association of IL-1β-511C/T, IL-6-174G/C, TNF-α-1031T/C, and TGFβ1-509T/C with RSA patients with or without PCOS. A total of 140 RSA patients, 70 of which were PCOS patients, and 140 healthy females with no history of RSA or PCOS were included in this study. PCR amplification, genotyping, and sequence analysis were employed to investigate the presence of the polymorphisms. The genotypic and allelic frequencies were calculated separately for each subject. Out of the four studied polymorphisms, the IL-1β-511C/T genotype in RSA without PCOS patients (12.7%) was significantly different compared with that in control subjects (p = 0.047). For IL-6-174C/G, there was a tendency towards more CC carriers among RSA with PCOS patients (10%) than in controls (3%). The GG genotype in RSA women with PCOS (60%) was significantly different compared with that in control subjects (p = 0.033), and the GC genotype in RSA with PCOS patients (30%) showed a marginal significant difference compared with that in control subjects (p = 0.050). Significant difference was identified in the allelic frequencies in RSA patients with PCOS compared to controls (p = 0.025). IL-6-174G/C and TNF-α-1031T/C polymorphisms are significantly associated with RSA patients in Saudi patients with PCOS, while the IL-1β-511C/T polymorphism is significantly associated with RSA patients without PCOS.
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Affiliation(s)
- Afrah F. Alkhuriji
- Department of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Suliman Y. Al Omar
- Department of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Zainb A. Babay
- Department of Obstetrics and Gynaecology, King Saud University, King Khalid University Hospital, Riyadh, Saudi Arabia
| | - Manal F. El-khadragy
- Department of Biology, Faculty of Science, Princess Nourah Bint Abdulrahman University, Saudi Arabia
- Department of Zoology and Entomology, College of Science, Helwan University, Cairo, Egypt
| | - Lamjed A. Mansour
- Department of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia
- Faculty of Sciences of Gabès, University of Gabès, Erriadh City 6072, Zrig Gabès, Tunisia
| | - Wazirah G. Alharbi
- Department of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Mahmoud I. Khalil
- Department of Biological Sciences, Faculty of Science, Beirut Arab University, Lebanon
- Molecular Biology Unit, Department of Zoology, Faculty of Science, Alexandria University, Egypt
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Huang L, Wang L. Association between VEGF gene polymorphisms (11 sites) and polycystic ovary syndrome risk. Biosci Rep 2020; 40:BSR20191691. [PMID: 32003435 PMCID: PMC7070149 DOI: 10.1042/bsr20191691] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Revised: 12/13/2019] [Accepted: 01/30/2020] [Indexed: 01/01/2023] Open
Abstract
Vascular endothelial growth factor (VEGF) plays a critical role in ovarian folliculogenesis and normal reproductive function. So far, several studies focusing on association between VEGF gene polymorphisms and polycystic ovary syndrome (PCOS). However, above association between the VEGF gene polymorphisms and PCOS susceptibility is uncertain. Hence, we performed a timely meta-analysis containing all current publications to make clear this relationship. We searched articles from the PubMed, Embase and Chinese language (WanFang and CNKI) databases that were published up until May 10, 2019. Finally, we obtained 9 studies, containing 29 case-control studies and 11 different polymorphisms. The odds ratios (OR) and 95% confidence intervals (CI) were revealed association strengths. There were significantly decreased associations between rs2010963 (-634), +9812, +405 polymorphisms and PCOS risk. Nevertheless, there existed increased associations between rs699947 (-2578), rs833061, rs1570360 (-1154), rs3025020, rs3025039 polymorphisms and PCOS susceptibility. Our current analysis suggested VEGF gene polymorphisms may be associated with PCOS risk, which is possible to be expected to become biomarkers of early detection for women.
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Affiliation(s)
- Li Huang
- Department of Obstetrics and Gynecology, Xishui Hospital, Affiliated to Hubei Institute of Science and Technology, China
| | - Lunwen Wang
- Department of Respiratory Medicine, Xishui Hospital, Affiliated to Hubei Institute of Science and Technology, China
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Saleh-Gargari S, Ghafouri-Fard S, Zandieh Z, Ansaripour S, Pouresmaeili F, Vatannejad A. The rs16944 SNP in IL-1B and risk of polycystic ovarian syndrome. GENE REPORTS 2019. [DOI: 10.1016/j.genrep.2019.100547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Hatziagelaki E, Pergialiotis V, Kannenberg JM, Trakakis E, Tsiavou A, Markgraf DF, Carstensen-Kirberg M, Pacini G, Roden M, Dimitriadis G, Herder C. Association between Biomarkers of Low-grade Inflammation and Sex Hormones in Women with Polycystic Ovary Syndrome. Exp Clin Endocrinol Diabetes 2019; 128:723-730. [DOI: 10.1055/a-0992-9114] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Abstract
Objective Women with polycystic ovary syndrome (PCOS) have higher circulating levels of C-reactive protein, but the relationship between inflammation and endocrine function in PCOS remains poorly understood. Thus, this study aimed to investigate the association between low-grade inflammation and sex hormones in women with PCOS.
Design and Patients A comprehensive panel of biomarkers of inflammation was measured in serum of 63 women with PCOS using proximity extension assay technology. Associations of 65 biomarkers with sex hormones were assessed without and with adjustment for age and body mass index (BMI).
Results In the unadjusted analysis, 20 biomarkers were positively correlated with 17-OH-progesterone (17-OH-P), 14 with prolactin and 6 with free testosterone, whereas inverse associations were found for 16 biomarkers with sex hormone-binding globulin (SHBG), 6 with luteinizing hormone (LH) and 6 with estrogen (all p<0.05). Among the positive associations, correlations were mainly found for five chemokines (CXCL11, CCL4, MCP-4/CCL13, CXCL5, CXCL6) and for VEGF-A, LAP-TGFβ1, TNFSF14 and MMP-1. Inverse associations with sex hormones were mainly present for two chemokines (CXCL1, MCP-2/CCL8), CDCP1, CST5 and CSF-1. Adjustment for age and BMI reduced the number of biomarker associations for SHBG and estrogen, but had hardly any impact on associations with 17-OH-P, prolactin, free testosterone and LH.
Conclusion Women with PCOS feature BMI-independent associations between biomarkers of inflammation and certain sex steroid and hypophyseal hormones. Most of these inflammation-related biomarkers were chemokines, which may be relevant as potential mediators of the increased cardiometabolic risk of women with PCOS.
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Affiliation(s)
- Erifili Hatziagelaki
- Second Department of Internal Medicine, Research Institute and Diabetes Center, “Attikon” University Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Vasilios Pergialiotis
- Third Department of Obstetrics and Gynecology, “Attikon” University Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Julia M. Kannenberg
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Partner Düsseldorf, Germany
| | - Eftihios Trakakis
- Third Department of Obstetrics and Gynecology, “Attikon” University Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Anastasia Tsiavou
- Second Department of Internal Medicine, Research Institute and Diabetes Center, “Attikon” University Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Daniel F. Markgraf
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Partner Düsseldorf, Germany
| | - Maren Carstensen-Kirberg
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Partner Düsseldorf, Germany
| | - Giovanni Pacini
- Metabolic Unit, CNR Neuroscience Institute, National Research Council, Padova, Italy
| | - Michael Roden
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Partner Düsseldorf, Germany
- Division of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - George Dimitriadis
- Second Department of Internal Medicine, Research Institute and Diabetes Center, “Attikon” University Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Christian Herder
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Partner Düsseldorf, Germany
- Division of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
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Liu L, Du B, Zhang H, Guo X, Zhou Z, Xiu A, Liu C, Su S, Ai H. A network pharmacology approach to explore the mechanisms of Erxian decoction in polycystic ovary syndrome. Chin Med 2018; 13:46. [PMID: 30181771 PMCID: PMC6114271 DOI: 10.1186/s13020-018-0201-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Accepted: 08/18/2018] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Polycystic ovary syndrome (PCOS) significantly affects women's health and well-being. To explore the pharmacological basis of the Erxian decoction (EXD) action in PCOS therapy, a network interaction analysis was conducted at the molecular level. METHODS The active elements of EXD were identified according to the oral bioavailability and drug-likeness filters from three databases: traditional Chinese medicine system pharmacology analysis platform, TCM@taiwan and TCMID, and their potential targets were also identified. Genes associated with PCOS and established protein-protein interaction networks were mined from the NCBI database. Finally, significant pathways and functions of these networks were identified using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses to determine the mechanism of action of EXD. RESULTS Seventy active compounds were obtained from 981 ingredients present in the EXD decoction, corresponding to 247 targets. In addition, 262 genes were found to be closely related with PCOS, of which 50 overlapped with EXD and were thus considered therapeutically relevant. Pathway enrichment analysis identified PI3k-Akt, insulin resistance, Toll-like receptor, MAPK and AGE-RAGE from a total of 15 significant pathways in PCOS and its treatment. CONCLUSIONS EXD can effectively improve the symptoms of PCOS and our systemic pharmacological analysis lays the experimental foundation for further clinical applications of EXD.
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Affiliation(s)
- Lihong Liu
- Department of Gynecological Ward, The Third Affiliated Hospital, Jinzhou Medical University, Jinzhou, China
- Liaoning Provincial Key Laboratory of Follicle Development and Reproductive Health (Office of Science and Technology), Jinzhou, China
| | - Bo Du
- Department of Gynecological Ward, The Third Affiliated Hospital, Jinzhou Medical University, Jinzhou, China
- Liaoning Provincial Key Laboratory of Follicle Development and Reproductive Health (Office of Science and Technology), Jinzhou, China
| | - Haiying Zhang
- Library Department, Jinzhou Medical University, Jinzhou, China
| | - Xiaofei Guo
- Department of Gynecological Ward, The Third Affiliated Hospital, Jinzhou Medical University, Jinzhou, China
- Liaoning Provincial Key Laboratory of Follicle Development and Reproductive Health (Office of Science and Technology), Jinzhou, China
| | - Zheng Zhou
- Department of Gynecological Ward, The Third Affiliated Hospital, Jinzhou Medical University, Jinzhou, China
- Liaoning Provincial Key Laboratory of Follicle Development and Reproductive Health (Office of Science and Technology), Jinzhou, China
| | - Aihui Xiu
- Department of Gynecological Ward, The First Affiliated Hospital, Jinzhou Medical University, Jinzhou, China
| | - Chang Liu
- Department of Gynecological Ward, The Third Affiliated Hospital, Jinzhou Medical University, Jinzhou, China
- Liaoning Provincial Key Laboratory of Follicle Development and Reproductive Health (Office of Science and Technology), Jinzhou, China
| | - Shiyu Su
- Department of Gynecological Ward, The Third Affiliated Hospital, Jinzhou Medical University, Jinzhou, China
- Liaoning Provincial Key Laboratory of Follicle Development and Reproductive Health (Office of Science and Technology), Jinzhou, China
| | - Hao Ai
- Liaoning Provincial Key Laboratory of Follicle Development and Reproductive Health (Office of Science and Technology), Jinzhou, China
- Department of Gynecological Ward, The First Affiliated Hospital, Jinzhou Medical University, Jinzhou, China
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