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Shen L, Luo H, Fan L, Tian X, Tang A, Wu X, Dong K, Su Z. Potential Immunoregulatory Mechanism of Plant Saponins: A Review. Molecules 2023; 29:113. [PMID: 38202696 PMCID: PMC10780299 DOI: 10.3390/molecules29010113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 12/19/2023] [Accepted: 12/22/2023] [Indexed: 01/12/2024] Open
Abstract
Saponins are extracted from different parts of plants such as seeds, roots, stems, and leaves and have a variety of biological activities including immunomodulatory, anti-inflammatory effects, and hypoglycemic properties. They demonstrate inherent low immunogenicity and possess the capacity to effectively regulate both the innate and adaptive immune responses. Plant saponins can promote the growth and development of the body's immune organs through a variety of signaling pathways, regulate the activity of a variety of immune cells, and increase the secretion of immune-related cytokines and antigen-specific antibodies, thereby exerting the role of immune activity. However, the chemical structure of plant saponins determines its certain hemolytic and cytotoxicity. With the development of science and technology, these disadvantages can be avoided or reduced by certain technical means. In recent years, there has been a significant surge in interest surrounding the investigation of plant saponins as immunomodulators. Consequently, the objective of this review is to thoroughly examine the immunomodulatory properties of plant saponins and elucidate their potential mechanisms, with the intention of offering a valuable point of reference for subsequent research and advancement within this domain.
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Affiliation(s)
- Liuhong Shen
- The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China
| | - Hao Luo
- The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China
| | - Lei Fan
- The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China
| | - Xinyu Tian
- The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China
| | - Anguo Tang
- The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China
| | - Xiaofeng Wu
- The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China
| | - Ke Dong
- Sichuan Yuqiang Herbal Biotechnology Co., Ltd., Chengdu 611130, China
| | - Zhetong Su
- Guangxi Innovates Medical Technology Co., Ltd., Lipu 546600, China
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Du X, Cui X, Sun X, Li H, Xu K, Fu X. Platycodin D-Induced Immunotoxicity in RAW 264.7 Macrophages via Oxidative Stress-Mediated Apoptosis. Nat Prod Commun 2023. [DOI: 10.1177/1934578x221150366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023] Open
Abstract
Platycodin D (PD) is a naturally occurring, biologically active triterpenoid saponin isolated from a medicinal food homology plant called Platycodon grandiflorus (Jacq.) A. DC. It is involved in the processing of various biological activities. While investigating the anti-inflammatory property of PD using lipopolysaccharide (LPS)-stimulated murine RAW 264.7 macrophage cells, we unexpectedly found that PD exhibited toxicity to RAW 264.7 cells. In this study, the toxic effect of PD on RAW 264.7 cells was systematically evaluated for the first time. The results showed that PD (12.5−200 µM) significantly reduced cell viability and inhibited cell proliferation in a dose-dependent manner. At a concentration of 20 µM, PD significantly increased lactate dehydrogenase activity and the mRNA and protein expression of Bax, p53, Casp3, IL-1β, and TNF-α. Interestingly, PD (0.8−20 µM) inhibited the expression of inflammatory cytokines in LPS-stimulated RAW 264.7 cells. PD (20 µM) also significantly increased reactive oxygen species (ROS) levels and the expression of oxidative stress-related genes and proteins. This study revealed that PD exhibited immunotoxicity to RAW 264.7 cells, with possible mechanisms including oxidative stress-mediated apoptosis resulting in activation of the mitochondrial apoptosis pathway and dysregulated expression of inflammatory cytokines. This study evaluated the impact of PD on immunity and provided guidelines for its future biological application.
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Affiliation(s)
- Xinying Du
- Marine Traditional Chinese Medicine Research Center, Key Laboratory of Marine Traditional Chinese Medicine in Shandong Universities, Shandong Engineering and Technology Research Center on Omics of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
- Shandong University of Traditional Chinese Medicine, Qingdao Academy of Traditional Chinese Medicine, Qingdao Key Laboratory of Research in Marine Traditional Chinese Medicine, Qingdao Key Technology Innovation Center of Marine Traditional Chinese Medicine's Deep Development and Industrialization, Qingdao, China
| | - Xinhai Cui
- Marine Traditional Chinese Medicine Research Center, Key Laboratory of Marine Traditional Chinese Medicine in Shandong Universities, Shandong Engineering and Technology Research Center on Omics of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
- College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Xiaowen Sun
- Marine Traditional Chinese Medicine Research Center, Key Laboratory of Marine Traditional Chinese Medicine in Shandong Universities, Shandong Engineering and Technology Research Center on Omics of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Hui Li
- Marine Traditional Chinese Medicine Research Center, Key Laboratory of Marine Traditional Chinese Medicine in Shandong Universities, Shandong Engineering and Technology Research Center on Omics of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
- Shandong University of Traditional Chinese Medicine, Qingdao Academy of Traditional Chinese Medicine, Qingdao Key Laboratory of Research in Marine Traditional Chinese Medicine, Qingdao Key Technology Innovation Center of Marine Traditional Chinese Medicine's Deep Development and Industrialization, Qingdao, China
| | - Kuo Xu
- Marine Traditional Chinese Medicine Research Center, Key Laboratory of Marine Traditional Chinese Medicine in Shandong Universities, Shandong Engineering and Technology Research Center on Omics of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
- Shandong University of Traditional Chinese Medicine, Qingdao Academy of Traditional Chinese Medicine, Qingdao Key Laboratory of Research in Marine Traditional Chinese Medicine, Qingdao Key Technology Innovation Center of Marine Traditional Chinese Medicine's Deep Development and Industrialization, Qingdao, China
| | - Xianjun Fu
- Marine Traditional Chinese Medicine Research Center, Key Laboratory of Marine Traditional Chinese Medicine in Shandong Universities, Shandong Engineering and Technology Research Center on Omics of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
- Shandong University of Traditional Chinese Medicine, Qingdao Academy of Traditional Chinese Medicine, Qingdao Key Laboratory of Research in Marine Traditional Chinese Medicine, Qingdao Key Technology Innovation Center of Marine Traditional Chinese Medicine's Deep Development and Industrialization, Qingdao, China
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Hioki K, Hayashi T, Natsume-Kitatani Y, Kobiyama K, Temizoz B, Negishi H, Kawakami H, Fuchino H, Kuroda E, Coban C, Kawahara N, Ishii KJ. Machine Learning-Assisted Screening of Herbal Medicine Extracts as Vaccine Adjuvants. Front Immunol 2022; 13:847616. [PMID: 35663999 PMCID: PMC9160479 DOI: 10.3389/fimmu.2022.847616] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 03/30/2022] [Indexed: 12/05/2022] Open
Abstract
Adjuvants are important vaccine components, composed of a variety of chemical and biological materials that enhance the vaccine antigen-specific immune responses by stimulating the innate immune cells in both direct and indirect manners to produce a variety cytokines, chemokines, and growth factors. It has been developed by empirical methods for decades and considered difficult to choose a single screening method for an ideal vaccine adjuvant, due to their diverse biochemical characteristics, complex mechanisms of, and species specificity for their adjuvanticity. We therefore established a robust adjuvant screening strategy by combining multiparametric analysis of adjuvanticity in vivo and immunological profiles in vitro (such as cytokines, chemokines, and growth factor secretion) of various library compounds derived from hot-water extracts of herbal medicines, together with their diverse distribution of nano-sized physical particle properties with a machine learning algorithm. By combining multiparametric analysis with a machine learning algorithm such as rCCA, sparse-PLS, and DIABLO, we identified that human G-CSF and mouse RANTES, produced upon adjuvant stimulation in vitro, are the most robust biological parameters that can predict the adjuvanticity of various library compounds. Notably, we revealed a certain nano-sized particle population that functioned as an independent negative parameter to adjuvanticity. Finally, we proved that the two-step strategy pairing the negative and positive parameters significantly improved the efficacy of screening and a screening strategy applying principal component analysis using the identified parameters. These novel parameters we identified for adjuvant screening by machine learning with multiple biological and physical parameters may provide new insights into the future development of effective and safe adjuvants for human use.
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Affiliation(s)
- Kou Hioki
- Division of Vaccine Science, Department of Microbiology and Immunology, International Vaccine Design Center (vDesC), The Institute of Medical Science, The University of Tokyo (IMSUT), Tokyo, Japan
- Laboratory of Mockup Vaccine, Center for Vaccine and Adjuvant Research Center (CVAR), National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Osaka, Japan
| | - Tomoya Hayashi
- Division of Vaccine Science, Department of Microbiology and Immunology, International Vaccine Design Center (vDesC), The Institute of Medical Science, The University of Tokyo (IMSUT), Tokyo, Japan
- Laboratory of Mockup Vaccine, Center for Vaccine and Adjuvant Research Center (CVAR), National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Osaka, Japan
| | - Yayoi Natsume-Kitatani
- Laboratory of Bioinformatics, Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Osaka, Japan
| | - Kouji Kobiyama
- Division of Vaccine Science, Department of Microbiology and Immunology, International Vaccine Design Center (vDesC), The Institute of Medical Science, The University of Tokyo (IMSUT), Tokyo, Japan
- Laboratory of Mockup Vaccine, Center for Vaccine and Adjuvant Research Center (CVAR), National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Osaka, Japan
| | - Burcu Temizoz
- Division of Vaccine Science, Department of Microbiology and Immunology, International Vaccine Design Center (vDesC), The Institute of Medical Science, The University of Tokyo (IMSUT), Tokyo, Japan
- Laboratory of Mockup Vaccine, Center for Vaccine and Adjuvant Research Center (CVAR), National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Osaka, Japan
| | - Hideo Negishi
- Division of Vaccine Science, Department of Microbiology and Immunology, International Vaccine Design Center (vDesC), The Institute of Medical Science, The University of Tokyo (IMSUT), Tokyo, Japan
| | - Hitomi Kawakami
- Research Center for Medicinal Plant Resources, National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Ibaraki, Japan
| | - Hiroyuki Fuchino
- Research Center for Medicinal Plant Resources, National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Ibaraki, Japan
| | - Etsushi Kuroda
- Department of Immunology, Hyogo College of Medicine, Hyogo, Japan
| | - Cevayir Coban
- Division of Malaria Immunology, Department of Microbiology and Immunology, International Vaccine Design Center (vDesC), The Institute of Medical Science, The University of Tokyo (IMSUT), Tokyo, Japan
- Immunology Frontier Research Center (IFReC), Osaka University, Osaka, Japan
| | - Nobuo Kawahara
- Research Center for Medicinal Plant Resources, National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Ibaraki, Japan
| | - Ken J. Ishii
- Division of Vaccine Science, Department of Microbiology and Immunology, International Vaccine Design Center (vDesC), The Institute of Medical Science, The University of Tokyo (IMSUT), Tokyo, Japan
- Laboratory of Mockup Vaccine, Center for Vaccine and Adjuvant Research Center (CVAR), National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Osaka, Japan
- Immunology Frontier Research Center (IFReC), Osaka University, Osaka, Japan
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Chen H, Zhang X, Liu L, Cai M, Guo Z, Qiu L. Application of red clover isoflavone extract as an adjuvant in mice. Exp Ther Med 2019; 19:1175-1182. [PMID: 32010286 PMCID: PMC6966154 DOI: 10.3892/etm.2019.8315] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 10/10/2019] [Indexed: 12/12/2022] Open
Abstract
In the present study, the safety of red clover isoflavone extract (RCIE) and its potential adjuvant effects on the cellular and humoral immune responses to ovalbumin (OVA) were evaluated using an ICR mouse model. On day 1, the mice were first subcutaneously immunized with 100 µg OVA, 100 µg OVA + 200 µg aluminum hydroxide gel (alum) or OVA + 50, 100 or 200 µg RCIE (RCIE + OVA), following which booster immunization was performed on day 15. After 2 weeks, the stimulation of splenocyte proliferation and levels of serum antibodies were measured. No notable stress responses were observed after the initial and booster immunization. Splenocyte proliferation was significantly increased in mice immunized with OVA + 100 µg RCIE (P<0.01). The levels of IgG, IgG1 and IgG2a antibodies in serum were also significantly increased in OVA + RCIE groups compared with the OVA control group (P<0.05). In the OVA + RCIE groups, serum levels of interleukin (IL)-2, interferon-γ (IFN-γ) and IL-10 were increased, and the mRNA expression levels of IL-2, IFN-γ, IL-4, IL-10, T-bet and GATA-3 were also significantly increased compared with the OVA control group (P<0.05) in splenocytes. In addition, as an adjuvant, RCIE significantly increased the survival rates of mice inoculated with an E. coli vaccine and enhanced the early immune protection against pathogenic E. coli. In conclusion, these findings suggest that RCIE can be used as a safe vaccine adjuvant and supports its use in clinical applications.
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Affiliation(s)
- Hongbo Chen
- Department of Veterinary Medicine, School of Life Sciences, Longyan University, Longyan, Fujian 364012, P.R. China.,Fujian Provincial Key Laboratory for The Prevention and Control of Animal Infectious Diseases and Biotechnology, Longyan University, Longyan, Fujian 364012, P.R. China.,Key Laboratory of Preventive Veterinary Medicine and Biotechnology, Longyan University, Longyan, Fujian 364012, P.R. China
| | - Xue Zhang
- Department of Veterinary Medicine, School of Life Sciences, Longyan University, Longyan, Fujian 364012, P.R. China
| | - Longsi Liu
- Department of Veterinary Medicine, School of Life Sciences, Longyan University, Longyan, Fujian 364012, P.R. China
| | - Mingqin Cai
- Department of Veterinary Medicine, School of Life Sciences, Longyan University, Longyan, Fujian 364012, P.R. China
| | - Zhijun Guo
- Department of Veterinary Medicine, School of Life Sciences, Longyan University, Longyan, Fujian 364012, P.R. China
| | - Longxin Qiu
- Department of Veterinary Medicine, School of Life Sciences, Longyan University, Longyan, Fujian 364012, P.R. China.,Fujian Provincial Key Laboratory for The Prevention and Control of Animal Infectious Diseases and Biotechnology, Longyan University, Longyan, Fujian 364012, P.R. China.,Key Laboratory of Preventive Veterinary Medicine and Biotechnology, Longyan University, Longyan, Fujian 364012, P.R. China
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Park M, Park SY, Lee HJ, Kim CE. A Systems-Level Analysis of Mechanisms of Platycodon grandiflorum Based on A Network Pharmacological Approach. Molecules 2018; 23:E2841. [PMID: 30388815 PMCID: PMC6278259 DOI: 10.3390/molecules23112841] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Revised: 10/23/2018] [Accepted: 10/29/2018] [Indexed: 12/13/2022] Open
Abstract
Platycodon grandiflorum (PG) is widely used in Asia for its various beneficial effects. Although many studies were conducted to understand the molecular mechanisms of PG, it is still unclear how the combinations of multiple ingredients work together to exert its therapeutic effects. The aim of the present study was to provide a comprehensive review of the systems-level mechanisms of PG by adopting network pharmacological analysis. We constructed a compound⁻target⁻disease network for PG using experimentally validated and machine-leaning-based prediction results. Each target of the network was analyzed based on previously known pharmacological activities of PG. Gene ontology analysis revealed that the majority of targets were related to cellular and metabolic processes, responses to stimuli, and biological regulation. In pathway enrichment analyses of targets, the terms related to cancer showed the most significant enrichment and formed distinct clusters. Degree matrix analysis for target⁻disease associations of PG suggested the therapeutic potential of PG in various cancers including hepatocellular carcinoma, gastric cancer, prostate cancer, small-cell lung cancer, and renal cell carcinoma. We expect that network pharmacological approaches will provide an understanding of the systems-level mechanisms of medicinal herbs and further develop their therapeutic potentials.
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Affiliation(s)
- Musun Park
- Department of Physiology, College of Korean Medicine, Gachon University, Seongnam 13120, Korea.
| | - Sa-Yoon Park
- Department of Physiology, College of Korean Medicine, Gachon University, Seongnam 13120, Korea.
| | - Hae-Jeung Lee
- Department of Food and Nutrition, College of BioNano Technology, Gachon University, Seongnam 13120, Korea.
| | - Chang-Eop Kim
- Department of Physiology, College of Korean Medicine, Gachon University, Seongnam 13120, Korea.
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Moreira Galdino P, Nunes Alexandre L, Fernanda Pacheco L, de Souza Lino Junior R, de Paula JR, Rodrigues Pedrino G, Henrique Xavier C, Maria Ferreira P. Nephroprotective effect of Rudgea viburnoides (Cham.) Benth leaves on gentamicin-induced nephrotoxicity in rats. JOURNAL OF ETHNOPHARMACOLOGY 2017; 201:100-107. [PMID: 28242383 DOI: 10.1016/j.jep.2017.02.035] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2016] [Revised: 02/10/2017] [Accepted: 02/23/2017] [Indexed: 06/06/2023]
Abstract
RELEVANCE Rudgea viburnoides, popularly known as "congonha-de-bugre" or "erva de bugre", is used in folk medicine as hypotensive, blood depurative, anti-rheumatic, diuretic and in the treatment of kidney and bladder pain. AIM Based on the popularly acclaimed nephron-protective effect of R. viburnoides, we investigated, using rats, the protective effect of this plant extract on gentamicin-induced kidney injury. MATERIAL AND METHODS Urinary volume, water and food intakes were assessed in adult male Wistar rats (naive or gentamicin-induced model of nephrotoxicity) treated with R. viburnoides extract. Also blood and kidney samples were collected for further laboratory and histological analyses. RESULTS R. viburnoides leaves extract improved renal function. It also improved the renal function impairments caused by gentamicin-induced nephrotoxicity, as revealed by glomerular filtration rate, urine output and proteinuria. CONCLUSION R. viburnoides exert renoprotective effect, which may support its popular use for renal diseases treatment.
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Affiliation(s)
| | - Layse Nunes Alexandre
- Laboratório de Fisiologia e Terapêutica Cardiovascular, ICB, UFG, Goiânia, GO, Brazil
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