Back

Energy dynamics for systemic configurations of virus-host coevolution

Romano, A.; Casazza, M.; Gonella, F.

2020-05-15 pathology
10.1101/2020.05.13.092866 bioRxiv
Show abstract

Virus cause multiple outbreaks, for which comprehensive tailored therapeutic strategies are still missing. Virus and host cell dynamics are strictly connected, and convey in virion assembly to ensure virus spread in the body. Study of the systemic behavior of virus-host interaction at the single-cell level is a scientific challenge, considering the difficulties of using experimental approaches and the limited knowledge of the behavior of emerging novel virus as a collectivity. This work focuses on positive-sense, single-stranded RNA viruses, like human coronaviruses, in their virus-individual host interaction, studying the changes induced in the host cell bioenergetics. A systems-thinking representation, based on stock-flow diagramming of virus-host interaction at the cellular level, is used here for the first time to simulate the system energy dynamics. We found that reducing the energy flow which fuels virion assembly is the most affordable strategy to limit the virus spread, but its efficacy is mitigated by the contemporary inhibition of other flows relevant for the system.Summary Positive-single-strand ribonucleic acid ((+)ssRNA) viruses can cause multiple outbreaks, for which comprehensive tailored therapeutic strategies are still missing. Virus and host cell dynamics are strictly connected, generating a complex dynamics that conveys in virion assembly to ensure virus spread in the body.This work focuses on (+)ssRNA viruses in their virus-individual host interaction, studying the changes induced in the host cell bioenergetics. A systems-thinking representation, based on stock-flow diagramming of virus-host interaction at the cellular level, is used here for the first time to simulate the energy dynamics of the system.By means of a computational simulator based on the systemic diagramming, we identifid host protein recycling and folded-protein synthesis as possible new leverage points. These also address different strategies depending on time setting of the therapeutic procedures. Reducing the energy flow which fuels virion assembly is addressed as the most affordable strategy to limit the virus spread, but its efficacy is mitigated by the contemporary inhibition of other flows relevant for the system. Counterintuitively, targeting RNA replication or virion budding does not give rise to relevant systemic effects, and can possibly contribute to further virus spread. The tested combinations of multiple systemic targets are less efficient in minimizing the stock of virions than targeting only the virion assembly process, due to the systemic configuration and its evolution overtime. Viral load and early addressing (in the first two days from infection) of leverage points are the most effective strategies on stock dynamics to minimize virion assembly and preserve host-cell bioenergetics.As a whole, our work points out the need for a systemic approach to design effective therapeutic strategies that should take in account the dynamic evolution of the system.Competing Interest StatementThe authors have declared no competing interest.View Full Text

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

1
Computers in Biology and Medicine
120 papers in training set
Top 0.1%
33.2%
2
Chaos: An Interdisciplinary Journal of Nonlinear Science
16 papers in training set
Top 0.1%
17.6%
50% of probability mass above
3
PLOS Computational Biology
1633 papers in training set
Top 4%
8.5%
4
Computational and Structural Biotechnology Journal
216 papers in training set
Top 0.8%
4.9%
5
Viruses
318 papers in training set
Top 1%
4.4%
6
PLOS ONE
4510 papers in training set
Top 34%
4.3%
7
iScience
1063 papers in training set
Top 7%
2.9%
8
Scientific Reports
3102 papers in training set
Top 44%
2.7%
9
Pharmaceutics
21 papers in training set
Top 0.3%
1.3%
10
Proceedings of the Royal Society B: Biological Sciences
341 papers in training set
Top 5%
1.0%
11
Mathematical Biosciences
42 papers in training set
Top 1%
0.8%
12
Journal of The Royal Society Interface
189 papers in training set
Top 5%
0.8%
13
Journal of Theoretical Biology
144 papers in training set
Top 2%
0.8%
14
Physical Biology
43 papers in training set
Top 2%
0.7%
15
eLife
5422 papers in training set
Top 59%
0.7%
16
Journal of Chemical Information and Modeling
207 papers in training set
Top 4%
0.5%
17
mSystems
361 papers in training set
Top 9%
0.5%
18
Mathematics
11 papers in training set
Top 0.6%
0.5%
19
International Journal of Molecular Sciences
453 papers in training set
Top 20%
0.5%
20
F1000Research
79 papers in training set
Top 7%
0.5%
21
Cells
232 papers in training set
Top 9%
0.5%
22
Frontiers in Molecular Biosciences
100 papers in training set
Top 7%
0.5%