0
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Study on the Mechanism of Jiawei Shengjiang Powder in Improving Male Asthma-Induced Asthenospermia Based on Network Pharmacology and Bioinformatics

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Jiawei Shengjiang Powder (JWSJP) is a classical Chinese medicinal formula, which has been widely applied in the treatment of asthma and complications for many years due to its curative effect.

          Aim

          To verify the effect of JWSJP in improving abnormal sperm motility caused by asthma and to explore its potential mechanism.

          Materials and Methods

          The active compounds of JWSJP were obtained from high performance liquid chromatography tandem mass spectrometry and the Traditional Chinese Medicine System Pharmacology. The key active components and targets of JWSJP were predicted based on network pharmacological analysis and bioinformatics research. Rats were randomly divided into normal, model and treatment groups. The rat model of allergic asthma was induced by intraperitoneal injection of ovalbumin solution. The experiment judged improvement of semen quality by evaluating sperm motility, and detected the expression of related proteins in testicular tissue of Sprague-Dawley rats by RT-qPCR and Western blot methods. Hematoxylin and eosin (HE) staining was used to observe the changes in testicular tissue structure in rats.

          Results

          Through the analysis of network pharmacology and bioinformatics, it was found that beta-sitosterol, quercetin, gallic acid, pelargonidin and kaempferol were the key active components of Jiawei Shengjiang Powder. Tumor necrosis factor (TNF), interleukin-6 (IL-6) and insulin (INS) genes are crucial targets of JWSJP in the treatment of spermatogenic dysfunction caused by acute asthma. After 8 weeks of intervention, compared with the model group, the treatment group had significantly improved sperm motility (P < 0.05). There were significant differences in TNF, IL6, and INS proteins in the treatment group, and the HE staining of testicular tissue structure in the treatment group was significantly improved.

          Conclusion

          JWSJP can improve the abnormal sperm motility induced by asthma, and its mechanism may be related to the expression of related proteins and mRNA of TNF, IL6, and INS.

          Related collections

          Most cited references 43

          • Record: found
          • Abstract: found
          • Article: not found

          Cytoscape: a software environment for integrated models of biomolecular interaction networks.

          Cytoscape is an open source software project for integrating biomolecular interaction networks with high-throughput expression data and other molecular states into a unified conceptual framework. Although applicable to any system of molecular components and interactions, Cytoscape is most powerful when used in conjunction with large databases of protein-protein, protein-DNA, and genetic interactions that are increasingly available for humans and model organisms. Cytoscape's software Core provides basic functionality to layout and query the network; to visually integrate the network with expression profiles, phenotypes, and other molecular states; and to link the network to databases of functional annotations. The Core is extensible through a straightforward plug-in architecture, allowing rapid development of additional computational analyses and features. Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

            DAVID bioinformatics resources consists of an integrated biological knowledgebase and analytic tools aimed at systematically extracting biological meaning from large gene/protein lists. This protocol explains how to use DAVID, a high-throughput and integrated data-mining environment, to analyze gene lists derived from high-throughput genomic experiments. The procedure first requires uploading a gene list containing any number of common gene identifiers followed by analysis using one or more text and pathway-mining tools such as gene functional classification, functional annotation chart or clustering and functional annotation table. By following this protocol, investigators are able to gain an in-depth understanding of the biological themes in lists of genes that are enriched in genome-scale studies.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible

              A system-wide understanding of cellular function requires knowledge of all functional interactions between the expressed proteins. The STRING database aims to collect and integrate this information, by consolidating known and predicted protein–protein association data for a large number of organisms. The associations in STRING include direct (physical) interactions, as well as indirect (functional) interactions, as long as both are specific and biologically meaningful. Apart from collecting and reassessing available experimental data on protein–protein interactions, and importing known pathways and protein complexes from curated databases, interaction predictions are derived from the following sources: (i) systematic co-expression analysis, (ii) detection of shared selective signals across genomes, (iii) automated text-mining of the scientific literature and (iv) computational transfer of interaction knowledge between organisms based on gene orthology. In the latest version 10.5 of STRING, the biggest changes are concerned with data dissemination: the web frontend has been completely redesigned to reduce dependency on outdated browser technologies, and the database can now also be queried from inside the popular Cytoscape software framework. Further improvements include automated background analysis of user inputs for functional enrichments, and streamlined download options. The STRING resource is available online, at http://string-db.org/.
                Bookmark

                Author and article information

                Journal
                Drug Des Devel Ther
                Drug Des Devel Ther
                dddt
                dddt
                Drug Design, Development and Therapy
                Dove
                1177-8881
                19 March 2021
                2021
                : 15
                : 1245-1259
                Affiliations
                [1 ]First Clinical Medical College, Beijing University of Chinese Medicine , Beijing, 100029, People’s Republic of China
                [2 ]Andrology Department, Dongzhimen Hospital, Beijing University of Chinese Medicine , Beijing, 100700, People’s Republic of China
                [3 ]The Third Affiliated Hospital of Beijing University of Chinese Medicine , Beijing, 100029, People’s Republic of China
                [4 ]Pneumology Department, The Third Affiliated Hospital of Beijing University of Chinese Medicine , Beijing, 100029, People’s Republic of China
                [5 ]Department of Andrology, The First Affiliated Hospital of Henan University of Chinese Medicine , Zhengzhou, 450046, People’s Republic of China
                Author notes
                Correspondence: Bin Wang Andrology Department, Dongzhimen Hospital, Beijing University of Chinese Medicine , Beijing, 100700, People’s Republic of China Email dayiwangbln@sina.com
                Hong-sheng Cui Pneumology Department, The Third Affiliated Hospital of Beijing University of Chinese Medicine , Beijing, 100029, People’s Republic of China Email Hshcui@sina.com
                [*]

                These authors contributed equally to this work

                Article
                296901
                10.2147/DDDT.S296901
                7989703
                © 2021 Wang et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                Page count
                Figures: 7, Tables: 5, References: 43, Pages: 15
                Funding
                Funded by: the National Natural Science Foundation of China;
                Funded by: university-level project of Beijing University of Chinese Medicine;
                This study was supported by the National Natural Science Foundation of China (grant Number: 81774320) and university-level project of Beijing University of Chinese Medicine (NO.2019-XS-ZB04).
                Categories
                Original Research

                Comments

                Comment on this article