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Pan G, Lu Y, Wei Z, Li Y, Li L, Pan X. A review on the in vitro and in vivo screening of α-glucosidase inhibitors. Heliyon 2024; 10:e37467. [PMID: 39309836 PMCID: PMC11415703 DOI: 10.1016/j.heliyon.2024.e37467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Revised: 09/02/2024] [Accepted: 09/04/2024] [Indexed: 09/25/2024] Open
Abstract
As a global metabolic disease, the control and treatment of diabetes have always been the focus of medical research. α-Glucosidase is a key enzyme in regulating blood glucose levels and has important applications in the treatment of diabetes. This review aims to explore the enzyme activity of α-glucosidase and its inhibition mechanism and evaluate the efficacy and limitations of existing inhibitor screening methods. First, the chemical structure, biological activity, and influencing factors of α-glucosidase on diabetes are discussed in detail. Then, the various methods that have been used to screen α-glucosidase inhibitors in recent years are reviewed, including in vivo animal experiments, in vitro experiments, and virtual molecular docking. The experimental principles, advantages, and limitations of each method and their application in discovering new inhibitors are also discussed. Finally, this review emphasizes the importance of developing efficient and safe α-glucosidase inhibitors, summarizes the advantages and disadvantages of various screening models, and proposes future research directions. This review comprehensively examines the enzyme activity of α-glucosidase and the screening methods for α-glucosidase inhibitors, provides an important perspective in the field of diabetes drug discovery and development, and provides a reference for future research.
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Affiliation(s)
- Guangjuan Pan
- Guangxi University of Chinese Medicine, Nanning, 530200, China
| | - Yantong Lu
- Guangxi University of Chinese Medicine, Nanning, 530200, China
| | - Zhiying Wei
- Guangxi University of Chinese Medicine, Nanning, 530200, China
| | - Yaohua Li
- Guangxi University of Chinese Medicine, Nanning, 530200, China
| | - Li Li
- Guangxi University of Chinese Medicine, Nanning, 530200, China
- Guangxi Key Laboratory of Zhuang and Yao Ethnic Medicine, Nanning, 530200, China
- The Collaborative Innovation Center of Zhuang and Yao Ethnic Medicine, Nanning, 530200, China
- Guangxi Engineering Research Center of Ethnic Medicine Resources and Application, Nanning, 530200, China
| | - Xiaojiao Pan
- Guangxi University of Chinese Medicine, Nanning, 530200, China
- Guangxi Key Laboratory of Zhuang and Yao Ethnic Medicine, Nanning, 530200, China
- The Collaborative Innovation Center of Zhuang and Yao Ethnic Medicine, Nanning, 530200, China
- Guangxi Engineering Research Center of Ethnic Medicine Resources and Application, Nanning, 530200, China
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Ali A, Alamri A, Hajar A. NK/DC crosstalk-modulating antitumor activity via Sema3E/PlexinD1 axis for enhanced cancer immunotherapy. Immunol Res 2024:10.1007/s12026-024-09536-y. [PMID: 39235526 DOI: 10.1007/s12026-024-09536-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Accepted: 08/29/2024] [Indexed: 09/06/2024]
Abstract
The complex relationship between natural killer (NK) cells and dendritic cells (DCs) within the tumor microenvironment significantly impacts the success of cancer immunotherapy. Recent advancements in cancer treatment have sought to bolster innate and adaptive immune responses through diverse modalities, aiming to tilt the immune equilibrium toward tumor elimination. Optimal antitumor immunity entails a multifaceted interplay involving NK cells, T cells and DCs, orchestrating immune effector functions. Although DC-based vaccines and NK cells' cytotoxic capabilities hold substantial therapeutic potential, their interaction is frequently hindered by immunosuppressive elements such as myeloid-derived suppressor cells (MDSCs) and regulatory T cells. Chemokines and cytokines, such as CXCL12, CCL2, interferons, and interleukins, play crucial roles in modulating NK/DC interactions and enhancing immune responses. This review elucidates the mechanisms underlying NK/DC interaction, emphasizing their pivotal roles in augmenting antitumor immune responses and the impediments posed by tumor-induced immunosuppression. Furthermore, it explores the therapeutic prospects of restoring NK/DC crosstalk, highlighting the significance of molecules like Sema3E/PlexinD1 in this context, offering potential avenues for enhancing the effectiveness of current immunotherapeutic strategies and advancing cancer treatment paradigms. Harnessing the dynamic interplay between NK and DC cells, including the modulation of Sema3E/PlexinD1 signaling, holds promise for developing more potent therapies that harness the immune system's full potential in combating cancer.
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Affiliation(s)
- Awais Ali
- Department of Biochemistry, Abdul Wali Khan University Mardan (AWKUM), Mardan, 23200, Pakistan.
| | - Abdulaziz Alamri
- Department of Biochemistry, College of Science, King Saud University, 11451, Riyadh, Saudi Arabia
| | - Azraida Hajar
- Department of Biology, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco
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Riaz R, Parveen S, Shafiq N, Ali A, Rashid M. Virtual screening, ADME prediction, drug-likeness, and molecular docking analysis of Fagonia indica chemical constituents against antidiabetic targets. Mol Divers 2024:10.1007/s11030-024-10897-7. [PMID: 39012565 DOI: 10.1007/s11030-024-10897-7] [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: 03/27/2024] [Accepted: 05/13/2024] [Indexed: 07/17/2024]
Abstract
Fagonia indica from Zygophyllaceae family is a medicinal specie with significant antidiabetic potential. The present study aimed to investigate the in vitro antidiabetic activity of Fagonia indica crude extract followed by an in silico screening of its phytoconstituents. For this purpose, crude extract of Fagonia indica was prepared and divided in three different parts, i.e., n-hexane, ethyl acetate, and methanolic fraction. Based on in vitro outcomes, the phytochemical substances of Fagonia indica were virtually screened through a literature survey and a screening library of compounds (1-13) was prepared. The clinical potential of these novel drug candidates was assessed by applying an ADME screening profile. Findings of SwissADME indicators (Absorption, Distribution, Metabolism, and Excretion) for the compounds (1-13) presented relatively optimal physicochemical characteristics, drug-likeness, and medicinal chemistry. The antidiabetic action of these leading drug candidates was optimized through molecular docking analysis against 3 different human pancreatic α-amylase macromolecular targets with (PDB ID 1B2Y), (PDB ID 3BAJ), and (PDB ID: 3OLI) by applying Virtual Docker (Molegro MVD). Metformin was taken as a reference standard for the sake of comparison. In vitro antidiabetic evaluation gave good results with promising α-amylase inhibitory action in the form of IC50 values, as for n-hexane extract = 206.3 µM, ethyl acetate = 41.64 µM, and methanolic extract = 9.61 µM. According to in silico outcomes, all 13 phytoconstituents possess the best binding affinity with successful MolDock scores ranging from - 97.2003 to - 65.6877 kcal/mol and show a great number of binding interactions than native drug metformin. Therefore, the current work concluded that the diabetic inhibition prospective of extract and the compounds of Fagonia indica may contribute to being investigated as a new class of antidiabetic drug or drug-like candidate for further studies.
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Affiliation(s)
- Rabia Riaz
- Synthetic & Natural Product Discovery Lab, Department of Chemistry, Government College Women University, Faisalabad, 38000, Pakistan
| | - Shagufta Parveen
- Synthetic & Natural Product Discovery Lab, Department of Chemistry, Government College Women University, Faisalabad, 38000, Pakistan
| | - Nusrat Shafiq
- Synthetic & Natural Product Discovery Lab, Department of Chemistry, Government College Women University, Faisalabad, 38000, Pakistan.
| | - Awais Ali
- Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan, 2300, Pakistan
| | - Maryam Rashid
- Synthetic & Natural Product Discovery Lab, Department of Chemistry, Government College Women University, Faisalabad, 38000, Pakistan
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Alamri A. Sema-3E/PlexinD1 axis modulates dendritic cell phenotypes and functions: Current status and future implications. Hum Immunol 2024; 85:110815. [PMID: 38772051 DOI: 10.1016/j.humimm.2024.110815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 05/03/2024] [Accepted: 05/15/2024] [Indexed: 05/23/2024]
Abstract
This comprehensive research review explores the complex interplay between the Sema-3E/PlexinD1 axis and dendritic cells (DCs), highlighting its critical role in immune modulation with implications for clinical application Critical regulators of immune responses Dendritic cells are central to adaptive immunity, and the Sema-3E /PlexinD1 axis emerges as a key modulator affecting their phenotypes and functions Review delineates the impact of this signaling axis on DC maturation, migration, antigen presentation, and cytokine production, unravels its multifaceted role in shaping the immune response. Recognizing the limitations and gaps in current knowledge, the study highlights the need for further studies to condition downstream signaling events and related information experienced by the Sema-3E/PlexinD1 axis emphasizes the clarity of the immune system. The review concludes by identifying opportunities for translation, focusing on therapeutic and diagnostic potential. It highlights the importance of collaborative, interdisciplinary efforts to address the challenges and harness the therapeutic and pathological potential of targeting the Sema-3E/PlexinD1 axis, thus opening the way for transformative advances in immunology and clinical medicine.
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Affiliation(s)
- Abdulaziz Alamri
- Department of Biochemistry, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.
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Xia B, Zeng P, Xue Y, Li Q, Xie J, Xu J, Wu W, Yang X. Identification of potential shared gene signatures between gastric cancer and type 2 diabetes: a data-driven analysis. Front Med (Lausanne) 2024; 11:1382004. [PMID: 38903804 PMCID: PMC11187270 DOI: 10.3389/fmed.2024.1382004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 05/22/2024] [Indexed: 06/22/2024] Open
Abstract
Background Gastric cancer (GC) and type 2 diabetes (T2D) contribute to each other, but the interaction mechanisms remain undiscovered. The goal of this research was to explore shared genes as well as crosstalk mechanisms between GC and T2D. Methods The Gene Expression Omnibus (GEO) database served as the source of the GC and T2D datasets. The differentially expressed genes (DEGs) and weighted gene co-expression network analysis (WGCNA) were utilized to identify representative genes. In addition, overlapping genes between the representative genes of the two diseases were used for functional enrichment analysis and protein-protein interaction (PPI) network. Next, hub genes were filtered through two machine learning algorithms. Finally, external validation was undertaken with data from the Cancer Genome Atlas (TCGA) database. Results A total of 292 and 541 DEGs were obtained from the GC (GSE29272) and T2D (GSE164416) datasets, respectively. In addition, 2,704 and 336 module genes were identified in GC and T2D. Following their intersection, 104 crosstalk genes were identified. Enrichment analysis indicated that "ECM-receptor interaction," "AGE-RAGE signaling pathway in diabetic complications," "aging," and "cellular response to copper ion" were mutual pathways. Through the PPI network, 10 genes were identified as candidate hub genes. Machine learning further selected BGN, VCAN, FN1, FBLN1, COL4A5, COL1A1, and COL6A3 as hub genes. Conclusion "ECM-receptor interaction," "AGE-RAGE signaling pathway in diabetic complications," "aging," and "cellular response to copper ion" were revealed as possible crosstalk mechanisms. BGN, VCAN, FN1, FBLN1, COL4A5, COL1A1, and COL6A3 were identified as shared genes and potential therapeutic targets for people suffering from GC and T2D.
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Affiliation(s)
- Bingqing Xia
- The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Ping Zeng
- The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yuling Xue
- The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Qian Li
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, Guangzhou, China
| | - Jianhui Xie
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, Guangzhou, China
| | - Jiamin Xu
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, Guangzhou, China
| | - Wenzhen Wu
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, Guangzhou, China
| | - Xiaobo Yang
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, Guangzhou, China
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Shafiq N, Arshad M, Ali A, Rida F, Mohany M, Arshad U, Umar M, Milošević M. Integrated computational modeling and in-silico validation of flavonoids-Alliuocide G and Alliuocide A as therapeutic agents for their multi-target potential: Combination of molecular docking, MM-GBSA, ADMET and DFT analysis. SOUTH AFRICAN JOURNAL OF BOTANY 2024; 169:276-300. [DOI: 10.1016/j.sajb.2024.04.031] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2024]
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