Mohammad Faiz Khan, Palukuri Meghana Venkata, Shivakumar Shruti, Rengaswamy Raghunathan, Sahoo Swagatika
Department of Chemical Engineering, Indian Institute of Technology Madras, Chennai, India.
Initiative for Biological Systems Engineering, Indian Institute of Technology Madras, Chennai, India.
Front Physiol. 2022 Mar 7;13:760753. doi: 10.3389/fphys.2022.760753. eCollection 2022.
The integrity of the intestinal epithelium is crucial for human health and is harmed in autism spectrum disorder (ASD). An aberrant gut microbial composition resulting in gut-derived metabolic toxins was found to damage the intestinal epithelium, jeopardizing tissue integrity. These toxins further reach the brain the gut-brain axis, disrupting the normal function of the brain. A mechanistic understanding of metabolic disturbances in the brain and gut is essential to design effective therapeutics and early intervention to block disease progression. Herein, we present a novel computational framework integrating constraint based tissue specific metabolic (CBM) model and whole-body physiological pharmacokinetics (PBPK) modeling for ASD. Furthermore, the role of gut microbiota, diet, and oxidative stress is analyzed in ASD.
A representative gut model capturing host-bacteria and bacteria-bacteria interaction was developed using CBM techniques and patient data. Simultaneously, a PBPK model of toxin metabolism was assembled, incorporating multi-scale metabolic information. Furthermore, dynamic flux balance analysis was performed to integrate CBM and PBPK. The effectiveness of a probiotic and dietary intervention to improve autism symptoms was tested on the integrated model.
The model accurately highlighted critical metabolic pathways of the gut and brain that are associated with ASD. These include central carbon, nucleotide, and vitamin metabolism in the host gut, and mitochondrial energy and amino acid metabolisms in the brain. The proposed dietary intervention revealed that a high-fiber diet is more effective than a western diet in reducing toxins produced inside the gut. The addition of probiotic bacteria , , , and to the diet restores gut microbiota balance, thereby lowering oxidative stress in the gut and brain.
The proposed computational framework is novel in its applicability, as demonstrated by the determination of the whole-body distribution of ROS toxins and metabolic association in ASD. In addition, it emphasized the potential for developing novel therapeutic strategies to alleviate autism symptoms. Notably, the presented integrated model validates the importance of combining PBPK modeling with COBRA -specific tissue details for understanding disease pathogenesis.
肠道上皮的完整性对人类健康至关重要,而在自闭症谱系障碍(ASD)中会受到损害。发现异常的肠道微生物组成会产生源自肠道的代谢毒素,从而损害肠道上皮,危及组织完整性。这些毒素进一步通过肠-脑轴到达大脑,扰乱大脑的正常功能。对大脑和肠道中代谢紊乱的机制理解对于设计有效的治疗方法和早期干预以阻止疾病进展至关重要。在此,我们提出了一种新颖的计算框架,该框架整合了基于约束的组织特异性代谢(CBM)模型和全身生理药代动力学(PBPK)模型用于自闭症谱系障碍研究。此外,还分析了肠道微生物群、饮食和氧化应激在自闭症谱系障碍中的作用。
利用CBM技术和患者数据开发了一个代表性的肠道模型,该模型捕捉宿主-细菌和细菌-细菌之间的相互作用。同时,组装了一个毒素代谢的PBPK模型,纳入了多尺度代谢信息。此外,进行了动态通量平衡分析以整合CBM和PBPK。在整合模型上测试了益生菌和饮食干预改善自闭症症状的有效性。
该模型准确地突出了与自闭症谱系障碍相关的肠道和大脑的关键代谢途径。这些途径包括宿主肠道中的中心碳代谢、核苷酸代谢和维生素代谢,以及大脑中的线粒体能量代谢和氨基酸代谢。所提出的饮食干预表明,高纤维饮食在减少肠道内产生的毒素方面比西方饮食更有效。在饮食中添加益生菌、、、和可恢复肠道微生物群平衡,从而降低肠道和大脑中的氧化应激。
所提出的计算框架在适用性方面是新颖的,这体现在对活性氧毒素在全身的分布以及自闭症谱系障碍中的代谢关联的确定上。此外,它强调了开发新型治疗策略以减轻自闭症症状的潜力。值得注意的是,所呈现的整合模型验证了将PBPK建模与特定于COBRA组织细节相结合对于理解疾病发病机制的重要性。