To solve the given optimization problem, let's first define the symbolic representation of the problem.

### Symbolic Representation

The variables are:
- $x_0$: milligrams of vitamin B1
- $x_1$: grams of protein
- $x_2$: milligrams of vitamin B6
- $x_3$: milligrams of vitamin C

The objective function to minimize is: $3x_0 + 8x_1 + 7x_2 + 6x_3$

The constraints are based on the given problem description.

### Constraints

1. $3x_0 \leq 108$
2. $2x_0 \leq 84$
3. $5x_0 \leq 79$
4. $5x_0 \leq 58$
5. $4x_1 \leq 108$
6. $4x_1 \leq 84$
7. $4x_1 \leq 79$
8. $x_1 \leq 58$
9. $4x_2 \leq 108$
10. $x_2 \leq 84$
11. $3x_2 \leq 79$
12. $2x_2 \leq 58$
13. $5x_3 \leq 108$
14. $4x_3 \leq 84$
15. $4x_3 \leq 79$
16. $5x_3 \leq 58$
17. $4x_2 + 5x_3 \geq 13$
18. $3x_0 + 5x_3 \geq 25$
19. $3x_0 + 4x_2 \geq 27$
20. $3x_0 + 4x_1 + 5x_3 \geq 26$
21. $3x_0 + 4x_1 + 4x_2 \geq 26$
22. $4x_1 + 4x_2 + 5x_3 \geq 26$
23. $3x_0 + 4x_1 + 5x_3 \geq 21$
24. $3x_0 + 4x_1 + 4x_2 \geq 21$
25. $4x_1 + 4x_2 + 5x_3 \geq 21$
26. $3x_0 + 4x_1 + 5x_3 \geq 15$
27. $3x_0 + 4x_1 + 4x_2 \geq 15$
28. $4x_1 + 4x_2 + 5x_3 \geq 15$
29. $3x_0 + 4x_1 + 4x_2 + 5x_3 \geq 15$
30. $4x_1 + 4x_3 \geq 15$
31. $x_2 + 4x_3 \geq 18$
32. $2x_0 + 4x_1 \geq 21$
33. $2x_0 + 4x_1 + x_2 + 4x_3 \geq 21$
34. $5x_0 + 4x_3 \geq 15$
35. $x_2 + 4x_3 \geq 14$
36. $4x_1 + x_2 \geq 13$
37. $5x_0 + 4x_1 + x_2 + 4x_3 \geq 13$
38. $x_1 + 5x_3 \geq 8$
39. $5x_0 + 4x_1 \geq 11$
40. $5x_0 + 4x_1 + x_2 + 5x_3 \geq 11$
41. $-2x_2 + 5x_3 \geq 0$
42. $2x_1 - 2x_2 \geq 0$
43. $4x_1 + 5x_3 \leq 67$
44. $3x_0 + 4x_1 \leq 28$
45. $4x_1 + x_2 \leq 104$
46. $2x_0 + x_2 \leq 65$
47. $x_2 + 4x_3 \leq 77$
48. $4x_1 + x_2 \leq 83$
49. $2x_0 + 4x_1 \leq 35$
50. $2x_0 + 4x_1 + 4x_3 \leq 72$
51. $2x_0 + x_2 + 4x_3 \leq 27$
52. $2x_0 + 4x_1 + x_2 \leq 57$
53. $4x_1 + x_2 + 5x_3 \leq 44$
54. $x_1 + 5x_3 \leq 42$
55. $x_1 + x_2 \leq 29$
56. $5x_0 + 4x_1 \leq 47$
57. $x_1 + x_2 + 5x_3 \leq 41$

### Gurobi Code

```python
import gurobi

def solve_optimization_problem():
    # Create a new Gurobi model
    model = gurobi.Model()

    # Define the variables
    x0 = model.addVar(lb=-gurobi.GRB.INFINITY, name="x0")  # milligrams of vitamin B1
    x1 = model.addVar(lb=-gurobi.GRB.INFINITY, name="x1")  # grams of protein
    x2 = model.addVar(lb=-gurobi.GRB.INFINITY, name="x2")  # milligrams of vitamin B6
    x3 = model.addVar(lb=-gurobi.GRB.INFINITY, name="x3")  # milligrams of vitamin C

    # Objective function
    model.setObjective(3*x0 + 8*x1 + 7*x2 + 6*x3, gurobi.GRB.MINIMIZE)

    # Constraints
    model.addConstr(3*x0 <= 108)
    model.addConstr(2*x0 <= 84)
    model.addConstr(5*x0 <= 79)
    model.addConstr(5*x0 <= 58)
    model.addConstr(4*x1 <= 108)
    model.addConstr(4*x1 <= 84)
    model.addConstr(4*x1 <= 79)
    model.addConstr(x1 <= 58)
    model.addConstr(4*x2 <= 108)
    model.addConstr(x2 <= 84)
    model.addConstr(3*x2 <= 79)
    model.addConstr(2*x2 <= 58)
    model.addConstr(5*x3 <= 108)
    model.addConstr(4*x3 <= 84)
    model.addConstr(4*x3 <= 79)
    model.addConstr(5*x3 <= 58)
    model.addConstr(4*x2 + 5*x3 >= 13)
    model.addConstr(3*x0 + 5*x3 >= 25)
    model.addConstr(3*x0 + 4*x2 >= 27)
    model.addConstr(3*x0 + 4*x1 + 5*x3 >= 26)
    model.addConstr(3*x0 + 4*x1 + 4*x2 >= 26)
    model.addConstr(4*x1 + 4*x2 + 5*x3 >= 26)
    model.addConstr(3*x0 + 4*x1 + 5*x3 >= 21)
    model.addConstr(3*x0 + 4*x1 + 4*x2 >= 21)
    model.addConstr(4*x1 + 4*x2 + 5*x3 >= 21)
    model.addConstr(3*x0 + 4*x1 + 5*x3 >= 15)
    model.addConstr(3*x0 + 4*x1 + 4*x2 >= 15)
    model.addConstr(4*x1 + 4*x2 + 5*x3 >= 15)
    model.addConstr(3*x0 + 4*x1 + 4*x2 + 5*x3 >= 15)
    model.addConstr(4*x1 + 4*x3 >= 15)
    model.addConstr(x2 + 4*x3 >= 18)
    model.addConstr(2*x0 + 4*x1 >= 21)
    model.addConstr(2*x0 + 4*x1 + x2 + 4*x3 >= 21)
    model.addConstr(5*x0 + 4*x3 >= 15)
    model.addConstr(x2 + 4*x3 >= 14)
    model.addConstr(4*x1 + x2 >= 13)
    model.addConstr(5*x0 + 4*x1 + x2 + 4*x3 >= 13)
    model.addConstr(x1 + 5*x3 >= 8)
    model.addConstr(5*x0 + 4*x1 >= 11)
    model.addConstr(5*x0 + 4*x1 + x2 + 5*x3 >= 11)
    model.addConstr(-2*x2 + 5*x3 >= 0)
    model.addConstr(2*x1 - 2*x2 >= 0)
    model.addConstr(4*x1 + 5*x3 <= 67)
    model.addConstr(3*x0 + 4*x1 <= 28)
    model.addConstr(4*x1 + x2 <= 104)
    model.addConstr(2*x0 + x2 <= 65)
    model.addConstr(x2 + 4*x3 <= 77)
    model.addConstr(4*x1 + x2 <= 83)
    model.addConstr(2*x0 + 4*x1 <= 35)
    model.addConstr(2*x0 + 4*x1 + 4*x3 <= 72)
    model.addConstr(2*x0 + x2 + 4*x3 <= 27)
    model.addConstr(2*x0 + 4*x1 + x2 <= 57)
    model.addConstr(4*x1 + x2 + 5*x3 <= 44)
    model.addConstr(x1 + 5*x3 <= 42)
    model.addConstr(x1 + x2 <= 29)
    model.addConstr(5*x0 + 4*x1 <= 47)
    model.addConstr(x1 + x2 + 5*x3 <= 41)

    # Optimize the model
    model.optimize()

    # Print the solution
    if model.status == gurobi.GRB.OPTIMAL:
        print("Objective: ", model.objval)
        print("x0: ", x0.varValue)
        print("x1: ", x1.varValue)
        print("x2: ", x2.varValue)
        print("x3: ", x3.varValue)
    else:
        print("No optimal solution found")

solve_optimization_problem()
```