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Fig 1.

A model of the miR-451–AMPK–mTOR–cell cycle signaling pathway.

(A) Detailed schematic diagram of cellular decision of proliferation and migration in glioblastoma [40]. (B) Block diagram of the theoretical model representing glucose (G) regulation on miR-451 (M), AMPK (A), mTOR (R) with the signaling pathway to the cell cycle dynamics and the drug (D) suppressing the inhibition of mTOR by AMPK.

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Fig 1 Expand

Fig 2.

Effect of glucose on regulation of the core control system.

Two trajectories of core control control concentrations in miR-451–AMPK–mTOR space in response to (A) low (G = 0.1), (B) intermediate (G = 0.5), and (C) high (G = 1.0) glucose levels.

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Fig 2 Expand

Fig 3.

Bifurcation diagram of mTOR.

Hysteresis diagram of mTOR concentration over the range of glucose levels and the corresponding effect of different drug concentrations on its dynamics.

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Fig 3 Expand

Fig 4.

Sensitivity analysis on bistability of core control system.

PRCC values of the core control model parameters influencing the bistability of the (G, R) hysteresis curve. The double asterisk (**) indicates a p-value of less than 0.01. The sample size carried out in the method is N = 100, 000.

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Fig 4 Expand

Fig 5.

Effect of parameters 1, 4, 5, 6 on the core control nullclines and bistability.

M- and A-nullclines for different 1 and 4 values for specific glucose levels: (A) G = 0.1, (B) G = 0.4, and (C) G = 0.8, showing instances of bistability and monostability. (D) Bifurcation curves for 1 and 4 and shaded region of bistability. (E) R- and A-nullclines for different 5 and 6 values showing monostability.

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Fig 5 Expand

Fig 6.

Codimension 2 bifurcation.

(A) Hysteresis diagram of mTOR concentration over glucose level for three different values of S1 = 0, 0.2, 0.34. (B) Codimension 2 bifurcation varying G and S1 showing the equilibrium curves and cusp point (CP). Bistable and monostable regions are also depicted.

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Fig 6 Expand

Table 1.

Parameters in the core control (miR-451–AMPK–mTOR) model.

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Table 1 Expand

Table 2.

Parameters in the cell cycle dynamics model.

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Table 2 Expand

Fig 7.

Typical cell cycle dynamics.

Dynamics of intracellular proteins, mass, and masss of the cell cycle model in response to constant (intermediate) high glucose level.

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Fig 7 Expand

Fig 8.

Intracellular dynamics under regular glucose and drug infusions.

(A) Concentration profiles of miR-451 (M) and mTOR (R) fluctuating around the threshold values under regular infusions. Peaks in pseudo-mass are generated when M and R crosses thM and thR, respectively. (B) Trajectory of mTOR–miR-451–AMPK concentration profiles switching between proliferation and migration mode. (C) Dynamics of intracellular proteins, mass, and masss of the cell cycle model in response to regular glucose and drug infusions.

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Fig 8 Expand

Fig 9.

Concomitant glucose and drug control.

(A) Glucose control and concentration levels, (B) drug control and concentration levels, and (C) concentration profiles of miR-451, AMPK complex, and mTOR under concomitant control.

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Fig 9 Expand

Fig 10.

Intracellular dynamics under concomitant glucose and drug control.

(A) Concentration profiles of miR-451 (M) and mTOR (R) above the threshold values under concomitant infusions. (B) Trajectory of mTOR–miR-451–AMPK concentration profiles restrained in the proliferation region. (C) Dynamics of intracellular proteins, mass, and masss of the cell cycle model in response to concomitant glucose and drug infusions.

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Fig 10 Expand

Fig 11.

Alternating glucose and drug control.

(A) Glucose control and concentration levels, (B) drug control and concentration levels, and (C) concentration profiles of miR-451, AMPK complex, and mTOR under alternating control.

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Fig 11 Expand

Fig 12.

Intracellular dynamics under alternating glucose and drug control.

(A) Concentration profiles of miR-451 (M) and mTOR (R) above the threshold values under concomitant infusions. (B) Trajectory of mTOR–miR-451–AMPK concentration profiles restrained in the proliferation region. (C) Dynamics of intracellular proteins, mass, and masss of the cell cycle model in response to alternating glucose and drug infusions.

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Fig 12 Expand

Fig 13.

Frequency and dosage of optimal infusions.

(A) Frequency and (B) dose per optimal infusion of concomitant (circle) and alternating (triangle) controls with fixed drug administration cost B2 = 1.0 and varying glucose administration cost B1. (C) Frequency and (D) dose per optimal infusion of concomitant (circle) and alternating (triangle) controls with fixed glucose administration cost B1 = 1.0 and varying drug administration cost B2.

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Fig 13 Expand

Fig 14.

Total glucose and drug amount used in concomitant and alternating control infusions.

(A) Total glucose and (B) drug amount used in concomitant (circle) and alternating (triangle) controls with fixed drug administration cost B2 = 1.0 and varying glucose administration cost B1. (C) Total glucose and (D) drug amount used in concomitant (circle) and alternating (triangle) controls with fixed glucose administration cost B1 = 1.0 and varying drug administration cost B2.

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Fig 14 Expand

Fig 15.

Relative administration cost for varying B1.

Relative glucose administration (A) cost per infusion and (B) total cost, and relative drug administration (C) cost per infusion and (D) total cost incurred for a period of 168h (7d) for concomitant and alternating controls with increasing B1.

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Fig 15 Expand

Fig 16.

Relative administration cost for varying B2.

Relative glucose administration (A) cost per infusion and (B) total cost, and relative drug administration (C) cost per infusion and (D) total cost incurred for a period of 168h (7d) for concomitant and alternating controls with increasing B2.

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Fig 16 Expand

Fig 17.

Glucose–mTOR–drug dynamics for concomitant and alternating controls.

Concomitant (blue) and alternating (orange) control trajectories are confined in a smaller region avoiding aggressive invasion, rapid proliferation, and unwanted drug complications.

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Fig 17 Expand

Table 3.

Summary for concomitant and alternating controls.

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Table 3 Expand