systems toxicology
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Antioxidants ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 71
Author(s):  
Lady Johanna Forero-Rodríguez ◽  
Jonathan Josephs-Spaulding ◽  
Stefano Flor ◽  
Andrés Pinzón ◽  
Christoph Kaleta

Parkinson’s Disease (PD) is a neurodegenerative disease, leading to motor and non-motor complications. Autonomic alterations, including gastrointestinal symptoms, precede motor defects and act as early warning signs. Chronic exposure to dietary, environmental heavy metals impacts the gastrointestinal system and host-associated microbiome, eventually affecting the central nervous system. The correlation between dysbiosis and PD suggests a functional and bidirectional communication between the gut and the brain. The bioaccumulation of metals promotes stress mechanisms by increasing reactive oxygen species, likely altering the bidirectional gut–brain link. To better understand the differing molecular mechanisms underlying PD, integrative modeling approaches are necessary to connect multifactorial perturbations in this heterogeneous disorder. By exploring the effects of gut microbiota modulation on dietary heavy metal exposure in relation to PD onset, the modification of the host-associated microbiome to mitigate neurological stress may be a future treatment option against neurodegeneration through bioremediation. The progressive movement towards a systems toxicology framework for precision medicine can uncover molecular mechanisms underlying PD onset such as metal regulation and microbial community interactions by developing predictive models to better understand PD etiology to identify options for novel treatments and beyond. Several methodologies recently addressed the complexity of this interaction from different perspectives; however, to date, a comprehensive review of these approaches is still lacking. Therefore, our main aim through this manuscript is to fill this gap in the scientific literature by reviewing recently published papers to address the surrounding questions regarding the underlying molecular mechanisms between metals, microbiota, and the gut–brain-axis, as well as the regulation of this system to prevent neurodegeneration.



2021 ◽  
Vol 228 ◽  
pp. 113002
Author(s):  
Ruixian Guo ◽  
Junping Lv ◽  
Huibo Xu ◽  
Yinghui Bai ◽  
Binan Lu ◽  
...  
Keyword(s):  






2021 ◽  
Author(s):  
Kaushal D. Desai
Keyword(s):  


2021 ◽  
Vol 12 ◽  
Author(s):  
Roman A. Li ◽  
Marja Talikka ◽  
Sylvain Gubian ◽  
Colette vom Berg ◽  
Florian Martin ◽  
...  

Adverse outcomes that result from chemical toxicity are rarely caused by dysregulation of individual proteins; rather, they are often caused by system-level perturbations in networks of molecular events. To fully understand the mechanisms of toxicity, it is necessary to recognize the interactions of molecules, pathways, and biological processes within these networks. The developing brain is a prime example of an extremely complex network, which makes developmental neurotoxicity one of the most challenging areas in toxicology. We have developed a systems toxicology method that uses a computable biological network to represent molecular interactions in the developing brain of zebrafish larvae. The network is curated from scientific literature and describes interactions between biological processes, signaling pathways, and adverse outcomes associated with neurotoxicity. This allows us to identify important signaling hubs, pathway interactions, and emergent adverse outcomes, providing a more complete understanding of neurotoxicity. Here, we describe the construction of a zebrafish developmental neurotoxicity network and its validation by integration with publicly available neurotoxicity-related transcriptomic datasets. Our network analysis identified consistent regulation of tumor suppressors p53 and retinoblastoma 1 (Rb1) as well as the oncogene Krüppel-like factor (Klf8) in response to chemically induced developmental neurotoxicity. The developed network can be used to interpret transcriptomic data in a neurotoxicological context.



2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Tanaya R. Vaidya ◽  
Hardik Mody ◽  
Yesenia L. Franco ◽  
Ashley Brown ◽  
Sihem Ait-Oudhia


2021 ◽  
Author(s):  
Carolina Madeira ◽  
Pedro M. Costa
Keyword(s):  


2021 ◽  
pp. 25-31
Author(s):  
M. Lalasa ◽  
S. Nithya ◽  
K. Nagalakshmamma ◽  
A. Suvarnalatha ◽  
P. Nageshwar Rao
Keyword(s):  


2021 ◽  
pp. 330-341
Author(s):  
Marja Talikka ◽  
Vincenzo Belcastro ◽  
Stéphanie Boué ◽  
Diego Marescotti ◽  
Julia Hoeng ◽  
...  


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