```json
{
  "sym_variables": [
    ("x0", "milligrams of vitamin E"),
    ("x1", "grams of fat"),
    ("x2", "grams of protein"),
    ("x3", "milligrams of vitamin B4")
  ],
  "objective_function": "3.58*x0 + 5.69*x1 + 3.28*x2 + 2.48*x3",
  "constraints": [
    "11*x0 + 14*x1 + 13*x3 >= 40",
    "11*x0 + 11*x2 + 13*x3 >= 40",
    "11*x0 + 14*x1 + 13*x3 >= 36",
    "11*x0 + 11*x2 + 13*x3 >= 36",
    "11*x0 + 11*x2 <= 124",
    "11*x2 + 13*x3 <= 146",
    "11*x0 + 14*x1 <= 152",
    "14*x1 + 13*x3 <= 81",
    "11*x0 + 14*x1 + 11*x2 + 13*x3 <= 81"
  ]
}
```

```python
import gurobipy as gp

try:
    # Create a new model
    m = gp.Model("muscle_growth")

    # Create variables
    vitamin_e = m.addVar(lb=0, vtype=gp.GRB.CONTINUOUS, name="vitamin_e")
    fat = m.addVar(lb=0, vtype=gp.GRB.CONTINUOUS, name="fat")
    protein = m.addVar(lb=0, vtype=gp.GRB.CONTINUOUS, name="protein")
    vitamin_b4 = m.addVar(lb=0, vtype=gp.GRB.CONTINUOUS, name="vitamin_b4")

    # Set objective function
    m.setObjective(3.58 * vitamin_e + 5.69 * fat + 3.28 * protein + 2.48 * vitamin_b4, gp.GRB.MAXIMIZE)

    # Add constraints
    m.addConstr(11 * vitamin_e + 14 * fat + 13 * vitamin_b4 >= 40, "c1")
    m.addConstr(11 * vitamin_e + 11 * protein + 13 * vitamin_b4 >= 40, "c2")
    m.addConstr(11 * vitamin_e + 14 * fat + 13 * vitamin_b4 >= 36, "c3")
    m.addConstr(11 * vitamin_e + 11 * protein + 13 * vitamin_b4 >= 36, "c4")
    m.addConstr(11 * vitamin_e + 11 * protein <= 124, "c5")
    m.addConstr(11 * protein + 13 * vitamin_b4 <= 146, "c6")
    m.addConstr(11 * vitamin_e + 14 * fat <= 152, "c7")
    m.addConstr(14 * fat + 13 * vitamin_b4 <= 81, "c8")
    m.addConstr(11 * vitamin_e + 14 * fat + 11 * protein + 13 * vitamin_b4 <= 81, "c9")


    # Optimize the model
    m.optimize()

    if m.status == gp.GRB.OPTIMAL:
        print('Obj: %g' % m.objVal)
        for v in m.getVars():
            print('%s %g' % (v.varName, v.x))
    elif m.status == gp.GRB.INFEASIBLE:
        print("The model is infeasible.")
    else:
        print(f"Optimization ended with status {m.status}")


except gp.GurobiError as e:
    print('Error code ' + str(e.errno) + ': ' + str(e))

except AttributeError:
    print('Encountered an attribute error')
```