scholarly journals Author response: Modeling the metabolic interplay between a parasitic worm and its bacterial endosymbiont allows the identification of novel drug targets

2019 ◽  
Author(s):  
David M Curran ◽  
Alexandra Grote ◽  
Nirvana Nursimulu ◽  
Adam Geber ◽  
Dennis Voronin ◽  
...  
eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
David M Curran ◽  
Alexandra Grote ◽  
Nirvana Nursimulu ◽  
Adam Geber ◽  
Dennis Voronin ◽  
...  

The filarial nematode Brugia malayi represents a leading cause of disability in the developing world, causing lymphatic filariasis in nearly 40 million people. Currently available drugs are not well-suited to mass drug administration efforts, so new treatments are urgently required. One potential vulnerability is the endosymbiotic bacteria Wolbachia—present in many filariae—which is vital to the worm. Genome scale metabolic networks have been used to study prokaryotes and protists and have proven valuable in identifying therapeutic targets, but have only been applied to multicellular eukaryotic organisms more recently. Here, we present iDC625, the first compartmentalized metabolic model of a parasitic worm. We used this model to show how metabolic pathway usage allows the worm to adapt to different environments, and predict a set of 102 reactions essential to the survival of B. malayi. We validated three of those reactions with drug tests and demonstrated novel antifilarial properties for all three compounds.


2019 ◽  
Author(s):  
DM Curran ◽  
A Grote ◽  
N Nursimulu ◽  
A Geber ◽  
D Voronin ◽  
...  

AbstractThe filarial nematodeBrugia malayirepresents a leading cause of disability in the developing world, causing lymphatic filariasis in nearly 40 million people. Currently available drugs are not well-suited to mass drug administration efforts, so new treatments are urgently required. One potential vulnerability is the endosymbiotic bacteriaWolbachia—present in many filariae—which is vital to the worm.Genome scale metabolic networks have been used to study prokaryotes and protists and have proven valuable in identifying therapeutic targets, but only recently have been applied to eukaryotic organisms. Here, we presentiDC625, the first compartmentalized metabolic model of a parasitic worm. We used this model to show how metabolic pathway usage allows the worm to adapt to different environments, and predict a set of 99 reactions essential to the survival ofB. malayi. We validated three of those reactions with drug tests and demonstrated novel antifilarial properties for all three compounds.


2020 ◽  
Vol 19 (5) ◽  
pp. 300-300 ◽  
Author(s):  
Sorin Avram ◽  
Liliana Halip ◽  
Ramona Curpan ◽  
Tudor I. Oprea

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Marie O. Pohl ◽  
Jessica von Recum-Knepper ◽  
Ariel Rodriguez-Frandsen ◽  
Caroline Lanz ◽  
Emilio Yángüez ◽  
...  

Author(s):  
Eamonn Morrison ◽  
Patty Wai ◽  
Andri Leonidou ◽  
Philip Bland ◽  
Saira Khalique ◽  
...  

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Christos Dimitrakopoulos ◽  
Sravanth Kumar Hindupur ◽  
Marco Colombi ◽  
Dritan Liko ◽  
Charlotte K. Y. Ng ◽  
...  

Abstract Background Genetic aberrations in hepatocellular carcinoma (HCC) are well known, but the functional consequences of such aberrations remain poorly understood. Results Here, we explored the effect of defined genetic changes on the transcriptome, proteome and phosphoproteome in twelve tumors from an mTOR-driven hepatocellular carcinoma mouse model. Using Network-based Integration of multi-omiCS data (NetICS), we detected 74 ‘mediators’ that relay via molecular interactions the effects of genetic and miRNA expression changes. The detected mediators account for the effects of oncogenic mTOR signaling on the transcriptome, proteome and phosphoproteome. We confirmed the dysregulation of the mediators YAP1, GRB2, SIRT1, HDAC4 and LIS1 in human HCC. Conclusions This study suggests that targeting pathways such as YAP1 or GRB2 signaling and pathways regulating global histone acetylation could be beneficial in treating HCC with hyperactive mTOR signaling.


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