Dual probiotic and antibiotic therapy targeting bacterial vaginosis: An integrated experimental/computational modeling perspective

Bassam Fotouh , Anthony J. Kyser , Mohamed Y. Mahmoud , Hermann B. Frieboes
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Abstract

A novel strategy delivering both metronidazole and L. crispatus via 3D-printed scaffolds was recently shown to target pathogens in bacterial vaginosis (BV) while promoting beneficial microflora with sustained probiotic release, with the objective to facilitate user treatment adherence. This study developed an integrated experimental/computational platform to evaluate dual therapeutic strategy efficacy over a wide range of system dynamics, towards the goal of personalized therapy design. Experiments evaluated Gardnerella and L. crispatus interactions under controlled glucose concentrations in vitro, including bacterial growth, glucose consumption, lactic acid production, and pH. These data informed parameters of a novel computational model simulating the vagina, incorporating nutrient dynamics, bacterial interactions, and dual release of antibiotics and probiotics from 3D-printed scaffolds. Efficacy of varying concentrations of antibiotics and probiotics was assessed via sensitivity analyses. Experimental results demonstrate that L. crispatus outcompetes Gardnerella at lower glucose concentrations, while Gardnerella dominates at higher glucose levels. The computational model replicated these dynamics and projected that dual therapy could significantly suppress Gardnerella while promoting L. crispatus, even at lower drug dosages and probiotic CFU counts. Results were validated against data from 3D-printed dual release scaffolds. Simulated dual treatment enhanced lactic acid production and decreased vaginal pH, creating an unfavorable environment for pathogenic bacteria and shifting the microbiome composition towards the beneficial microflora. We conclude that an integrated experimental/computational modeling approach enables detailed evaluation of pathogenic and host bacteria interactions in the vaginal microbiome. This approach could advance personalized treatment for BV that eradicates pathogens while simultaneously restoring beneficial microflora.
针对细菌性阴道病的双重益生菌和抗生素治疗:综合实验/计算模型的观点
最近有研究表明,一种通过三维打印支架同时递送甲硝唑和L. crispatus的新型策略可在针对细菌性阴道病(BV)病原体的同时,通过持续释放益生菌促进有益微生物菌群,从而促进使用者坚持治疗。本研究开发了一个综合实验/计算平台,用于评估双重治疗策略在各种系统动力学条件下的疗效,以实现个性化治疗设计的目标。实验评估了加德纳菌和L. crispatus在体外受控葡萄糖浓度下的相互作用,包括细菌生长、葡萄糖消耗、乳酸产生和pH值。这些数据为模拟阴道的新型计算模型提供了参数,该模型结合了营养动态、细菌相互作用以及三维打印支架的抗生素和益生菌双重释放。通过敏感性分析评估了不同浓度的抗生素和益生菌的功效。实验结果表明,在葡萄糖浓度较低的情况下,L. crispatus 菌能与加德纳菌竞争,而在葡萄糖浓度较高的情况下,加德纳菌则占优势。计算模型复制了这些动态变化,并预测即使药物剂量和益生菌 CFU 数量较低,双重疗法也能在显著抑制加德纳菌的同时促进松柏菌的生长。结果与三维打印双释放支架的数据进行了验证。模拟的双重处理提高了乳酸的产生,降低了阴道的 pH 值,为致病菌创造了一个不利的环境,并使微生物群组成向有益微生物群转变。我们的结论是,综合实验/计算建模方法能够详细评估阴道微生物群中致病菌和宿主细菌的相互作用。这种方法可以推进针对 BV 的个性化治疗,在根除病原体的同时恢复有益微生物群。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biomedical engineering advances
Biomedical engineering advances Bioengineering, Biomedical Engineering
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