{"title":"创新疗法:利用 NSGA-II 算法进行混合物设计和多目标优化,在抗多重耐药细菌感染方面取得重大突破。","authors":"Meriem Adouane, Nabil Kadri, Nourelimane Benzitoune, Chafika Lakhdari, Samia Djellal, Lilla Ousmer, Hichem Tahraoui, Abdeltif Amrane, Hocine Remini, Farid Dahmoune, Khodir Madani","doi":"10.2174/0115680266333406250126033304","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction/objective: </strong>The increasing resistance of pathogens to antibiotics poses a major public health challenge. This study aims to develop an innovative approach to combat this resistance by exploring synergies between standard antibiotics and marine metabolites.</p><p><strong>Methods: </strong>The methodology combines disk diffusion testing and mixture design to assess the antimicrobial efficacy of the combinations.</p><p><strong>Results: </strong>The results demonstrate promising synergies between carotenoids, polyphenols, and alkaloids with standard antibiotics, offering potential targeted use in the fight against clinical multidrug- resistant bacteria. Specifically, Gram-negative bacteria (BGN) showed increased resistance to antibiotics such as amoxicillin-clavulanic acid (AMC), ceftazidime, cefotaxime, tetracycline, and cefazolin. These antibiotics, when combined with marine compounds, exhibited substantial inhibitory effects against specific isolates, circumventing antibiotic resistance mechanisms. Similarly, substantial synergies were observed in Gram-positive bacteria. Leveraging advanced algorithms such as multi-objective optimization, notably the NSGA-II algorithm, we accurately predicted minimum inhibitory concentrations (MICs) against clinically resistant bacterial isolates. Optimal conditions against Escherichia coli, characterized by carotenoids = 0.6335, total polyphenols = 0, indole alkaloids = 0.1723, and AMC = 0.1941, yielded a predicted MIC of 41.1126 mg/L, closely mirroring the experimental MIC of 41.66 ± 0.18 mg/L. Similarly, for Staphylococcus aureus, optimal conditions produced a predicted MIC of 30.8304 mg/L, closely aligning with the experimental MIC of 30.69 ± 1.80 mg/L.</p><p><strong>Conclusion: </strong>The consistent and reliable predictions for bacterial strains affirmed the robustness of the applied methodology. These results not only pave the way for further exploration but also offer valuable insights for optimizing pharmaceutical and medical interventions, presenting innovative avenues for combating antibiotic-resistant bacterial infections.</p>","PeriodicalId":11076,"journal":{"name":"Current topics in medicinal chemistry","volume":" ","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Innovative Therapies: A Major Breakthrough in Combating Multi-Drugresistant Bacterial Infections Using Mixture Design and Multi-Objective Optimization with NSGA-II Algorithm.\",\"authors\":\"Meriem Adouane, Nabil Kadri, Nourelimane Benzitoune, Chafika Lakhdari, Samia Djellal, Lilla Ousmer, Hichem Tahraoui, Abdeltif Amrane, Hocine Remini, Farid Dahmoune, Khodir Madani\",\"doi\":\"10.2174/0115680266333406250126033304\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction/objective: </strong>The increasing resistance of pathogens to antibiotics poses a major public health challenge. This study aims to develop an innovative approach to combat this resistance by exploring synergies between standard antibiotics and marine metabolites.</p><p><strong>Methods: </strong>The methodology combines disk diffusion testing and mixture design to assess the antimicrobial efficacy of the combinations.</p><p><strong>Results: </strong>The results demonstrate promising synergies between carotenoids, polyphenols, and alkaloids with standard antibiotics, offering potential targeted use in the fight against clinical multidrug- resistant bacteria. Specifically, Gram-negative bacteria (BGN) showed increased resistance to antibiotics such as amoxicillin-clavulanic acid (AMC), ceftazidime, cefotaxime, tetracycline, and cefazolin. These antibiotics, when combined with marine compounds, exhibited substantial inhibitory effects against specific isolates, circumventing antibiotic resistance mechanisms. Similarly, substantial synergies were observed in Gram-positive bacteria. Leveraging advanced algorithms such as multi-objective optimization, notably the NSGA-II algorithm, we accurately predicted minimum inhibitory concentrations (MICs) against clinically resistant bacterial isolates. Optimal conditions against Escherichia coli, characterized by carotenoids = 0.6335, total polyphenols = 0, indole alkaloids = 0.1723, and AMC = 0.1941, yielded a predicted MIC of 41.1126 mg/L, closely mirroring the experimental MIC of 41.66 ± 0.18 mg/L. Similarly, for Staphylococcus aureus, optimal conditions produced a predicted MIC of 30.8304 mg/L, closely aligning with the experimental MIC of 30.69 ± 1.80 mg/L.</p><p><strong>Conclusion: </strong>The consistent and reliable predictions for bacterial strains affirmed the robustness of the applied methodology. These results not only pave the way for further exploration but also offer valuable insights for optimizing pharmaceutical and medical interventions, presenting innovative avenues for combating antibiotic-resistant bacterial infections.</p>\",\"PeriodicalId\":11076,\"journal\":{\"name\":\"Current topics in medicinal chemistry\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-02-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current topics in medicinal chemistry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2174/0115680266333406250126033304\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, MEDICINAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current topics in medicinal chemistry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2174/0115680266333406250126033304","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
Innovative Therapies: A Major Breakthrough in Combating Multi-Drugresistant Bacterial Infections Using Mixture Design and Multi-Objective Optimization with NSGA-II Algorithm.
Introduction/objective: The increasing resistance of pathogens to antibiotics poses a major public health challenge. This study aims to develop an innovative approach to combat this resistance by exploring synergies between standard antibiotics and marine metabolites.
Methods: The methodology combines disk diffusion testing and mixture design to assess the antimicrobial efficacy of the combinations.
Results: The results demonstrate promising synergies between carotenoids, polyphenols, and alkaloids with standard antibiotics, offering potential targeted use in the fight against clinical multidrug- resistant bacteria. Specifically, Gram-negative bacteria (BGN) showed increased resistance to antibiotics such as amoxicillin-clavulanic acid (AMC), ceftazidime, cefotaxime, tetracycline, and cefazolin. These antibiotics, when combined with marine compounds, exhibited substantial inhibitory effects against specific isolates, circumventing antibiotic resistance mechanisms. Similarly, substantial synergies were observed in Gram-positive bacteria. Leveraging advanced algorithms such as multi-objective optimization, notably the NSGA-II algorithm, we accurately predicted minimum inhibitory concentrations (MICs) against clinically resistant bacterial isolates. Optimal conditions against Escherichia coli, characterized by carotenoids = 0.6335, total polyphenols = 0, indole alkaloids = 0.1723, and AMC = 0.1941, yielded a predicted MIC of 41.1126 mg/L, closely mirroring the experimental MIC of 41.66 ± 0.18 mg/L. Similarly, for Staphylococcus aureus, optimal conditions produced a predicted MIC of 30.8304 mg/L, closely aligning with the experimental MIC of 30.69 ± 1.80 mg/L.
Conclusion: The consistent and reliable predictions for bacterial strains affirmed the robustness of the applied methodology. These results not only pave the way for further exploration but also offer valuable insights for optimizing pharmaceutical and medical interventions, presenting innovative avenues for combating antibiotic-resistant bacterial infections.
期刊介绍:
Current Topics in Medicinal Chemistry is a forum for the review of areas of keen and topical interest to medicinal chemists and others in the allied disciplines. Each issue is solely devoted to a specific topic, containing six to nine reviews, which provide the reader a comprehensive survey of that area. A Guest Editor who is an expert in the topic under review, will assemble each issue. The scope of Current Topics in Medicinal Chemistry will cover all areas of medicinal chemistry, including current developments in rational drug design, synthetic chemistry, bioorganic chemistry, high-throughput screening, combinatorial chemistry, compound diversity measurements, drug absorption, drug distribution, metabolism, new and emerging drug targets, natural products, pharmacogenomics, and structure-activity relationships. Medicinal chemistry is a rapidly maturing discipline. The study of how structure and function are related is absolutely essential to understanding the molecular basis of life. Current Topics in Medicinal Chemistry aims to contribute to the growth of scientific knowledge and insight, and facilitate the discovery and development of new therapeutic agents to treat debilitating human disorders. The journal is essential for every medicinal chemist who wishes to be kept informed and up-to-date with the latest and most important advances.