## Step 1: Define the optimization problem
The goal is to maximize the objective function: $9 \times \text{grams of protein} + 5 \times \text{milligrams of zinc} + 4 \times \text{grams of fiber} + 5 \times \text{milligrams of vitamin B4}$.

## Step 2: List all the constraints
The constraints are given based on the kidney support index, energy stability index, and cardiovascular support index for different combinations of variables.

## 3: Translate constraints into mathematical expressions
- Kidney support index constraints:
  - $1 \times \text{protein} + 23 \times \text{zinc} + 9 \times \text{fiber} + 13 \times \text{B4} \leq 371$
  - $\text{protein} + \text{fiber} \geq 37$
  - $\text{fiber} + \text{B4} \geq 40$
  - $\text{zinc} + \text{fiber} \geq 45$
  - $\text{zinc} + \text{fiber} + \text{B4} \geq 80$
  - $\text{protein} + \text{B4} \leq 355$
  - $\text{zinc} + \text{B4} \leq 219$
  - $\text{protein} + \text{zinc} + \text{fiber} + \text{B4} \leq 219$

- Energy stability index constraints:
  - $17 \times \text{protein} + 14 \times \text{zinc} + 21 \times \text{fiber} + 7 \times \text{B4} \geq 64$
  - $17 \times \text{protein} + 14 \times \text{zinc} + 21 \times \text{fiber} \geq 64 - 7 \times \text{B4}$
  - $17 \times \text{protein} + 14 \times \text{zinc} + 7 \times \text{B4} \geq 64 - 21 \times \text{fiber}$
  - $14 \times \text{zinc} + 21 \times \text{fiber} + 7 \times \text{B4} \geq 64 - 17 \times \text{protein}$
  - $17 \times \text{protein} + 14 \times \text{zinc} \geq 66 - 21 \times \text{fiber} - 7 \times \text{B4}$
  - $17 \times \text{protein} + 14 \times \text{zinc} \geq 50$
  - $17 \times \text{protein} + 7 \times \text{B4} \geq 50 - 14 \times \text{zinc}$
  - $21 \times \text{fiber} + 7 \times \text{B4} \geq 50 - 17 \times \text{protein}$
  - $14 \times \text{zinc} + 21 \times \text{fiber} \geq 36$
  - $17 \times \text{protein} + 14 \times \text{zinc} \geq 36 - 7 \times \text{B4}$
  - $17 \times \text{protein} + 21 \times \text{fiber} \geq 36 - 7 \times \text{B4}$
  - $14 \times \text{zinc} + 7 \times \text{B4} \geq 36 - 21 \times \text{fiber}$
  - $14 \times \text{zinc} + 21 \times \text{fiber} \leq 277$
  - $17 \times \text{protein} + 21 \times \text{fiber} \leq 263$
  - $14 \times \text{zinc} + 7 \times \text{B4} \leq 199$
  - $17 \times \text{protein} + 14 \times \text{zinc} \leq 187$
  - $17 \times \text{protein} + 14 \times \text{zinc} + 7 \times \text{B4} \leq 245$
  - $14 \times \text{zinc} + 21 \times \text{fiber} + 7 \times \text{B4} \leq 239$
  - $17 \times \text{protein} + 14 \times \text{zinc} + 21 \times \text{fiber} \leq 117$
  - $17 \times \text{protein} + 21 \times \text{fiber} + 7 \times \text{B4} \leq 96$
  - $17 \times \text{protein} + 14 \times \text{zinc} + 21 \times \text{fiber} + 7 \times \text{B4} \leq 96$

- Cardiovascular support index constraints:
  - $10 \times \text{zinc} + 19 \times \text{B4} \geq 110$
  - $15 \times \text{protein} + 19 \times \text{fiber} \geq 59$
  - $10 \times \text{zinc} + 19 \times \text{fiber} \geq 101$
  - $15 \times \text{protein} + 10 \times \text{zinc} \geq 81$
  - $19 \times \text{fiber} + 19 \times \text{B4} \geq 88$
  - $5 \times \text{zinc} - 2 \times \text{fiber} + 9 \times \text{B4} \geq 0$

- Upper bounds for indices:
  - $15 \times \text{protein} + 10 \times \text{zinc} + 19 \times \text{fiber} + 19 \times \text{B4} \leq 472$
  - $15 \times \text{protein} + 10 \times \text{zinc} \leq 307$
  - $10 \times \text{zinc} + 19 \times \text{B4} \leq 254$
  - $19 \times \text{fiber} + 19 \times \text{B4} \leq 250$
  - $10 \times \text{zinc} + 19 \times \text{fiber} + 19 \times \text{B4} \leq 282$
  - $15 \times \text{protein} + 10 \times \text{zinc} + 19 \times \text{B4} \leq 248$
  - $15 \times \text{protein} + 10 \times \text{zinc} + 19 \times \text{fiber} \leq 234$
  - $15 \times \text{protein} + 10 \times \text{zinc} + 19 \times \text{fiber} + 19 \times \text{B4} \leq 234$

## 4: Implement the optimization problem in Gurobi
```python
import gurobi

def optimize():
    model = gurobi.Model()

    # Define variables
    protein = model.addVar(name="protein", lb=0)
    zinc = model.addVar(name="zinc", lb=0)
    fiber = model.addVar(name="fiber", lb=0)
    B4 = model.addVar(name="B4", lb=0)

    # Objective function
    model.setObjective(9 * protein + 5 * zinc + 4 * fiber + 5 * B4, gurobi.GRB.MAXIMIZE)

    # Kidney support index constraints
    model.addConstr(1 * protein + 23 * zinc + 9 * fiber + 13 * B4 <= 371)
    model.addConstr(protein + fiber >= 37)
    model.addConstr(fiber + B4 >= 40)
    model.addConstr(zinc + fiber >= 45)
    model.addConstr(zinc + fiber + B4 >= 80)
    model.addConstr(protein + B4 <= 355)
    model.addConstr(zinc + B4 <= 219)
    model.addConstr(protein + zinc + fiber + B4 <= 219)

    # Energy stability index constraints
    model.addConstr(17 * protein + 14 * zinc + 21 * fiber + 7 * B4 >= 64)
    model.addConstr(17 * protein + 14 * zinc + 21 * fiber >= 64 - 7 * B4)
    model.addConstr(17 * protein + 14 * zinc + 7 * B4 >= 64 - 21 * fiber)
    model.addConstr(14 * zinc + 21 * fiber + 7 * B4 >= 64 - 17 * protein)
    model.addConstr(17 * protein + 14 * zinc >= 66 - 21 * fiber - 7 * B4)
    model.addConstr(17 * protein + 14 * zinc >= 50)
    model.addConstr(17 * protein + 7 * B4 >= 50 - 14 * zinc)
    model.addConstr(21 * fiber + 7 * B4 >= 50 - 17 * protein)
    model.addConstr(14 * zinc + 21 * fiber >= 36)
    model.addConstr(17 * protein + 14 * zinc >= 36 - 7 * B4)
    model.addConstr(17 * protein + 21 * fiber >= 36 - 7 * B4)
    model.addConstr(14 * zinc + 7 * B4 >= 36 - 21 * fiber)
    model.addConstr(14 * zinc + 21 * fiber <= 277)
    model.addConstr(17 * protein + 21 * fiber <= 263)
    model.addConstr(14 * zinc + 7 * B4 <= 199)
    model.addConstr(17 * protein + 14 * zinc <= 187)
    model.addConstr(17 * protein + 14 * zinc + 7 * B4 <= 245)
    model.addConstr(14 * zinc + 21 * fiber + 7 * B4 <= 239)
    model.addConstr(17 * protein + 14 * zinc + 21 * fiber <= 117)
    model.addConstr(17 * protein + 21 * fiber + 7 * B4 <= 96)
    model.addConstr(17 * protein + 14 * zinc + 21 * fiber + 7 * B4 <= 96)

    # Cardiovascular support index constraints
    model.addConstr(10 * zinc + 19 * B4 >= 110)
    model.addConstr(15 * protein + 19 * fiber >= 59)
    model.addConstr(10 * zinc + 19 * fiber >= 101)
    model.addConstr(15 * protein + 10 * zinc >= 81)
    model.addConstr(19 * fiber + 19 * B4 >= 88)
    model.addConstr(5 * zinc - 2 * fiber + 9 * B4 >= 0)

    # Upper bounds for indices
    model.addConstr(15 * protein + 10 * zinc + 19 * fiber + 19 * B4 <= 472)
    model.addConstr(15 * protein + 10 * zinc <= 307)
    model.addConstr(10 * zinc + 19 * B4 <= 254)
    model.addConstr(19 * fiber + 19 * B4 <= 250)
    model.addConstr(10 * zinc + 19 * fiber + 19 * B4 <= 282)
    model.addConstr(15 * protein + 10 * zinc + 19 * B4 <= 248)
    model.addConstr(15 * protein + 10 * zinc + 19 * fiber <= 234)
    model.addConstr(15 * protein + 10 * zinc + 19 * fiber + 19 * B4 <= 234)

    model.optimize()

    if model.status == gurobi.GRB.OPTIMAL:
        print("Objective: ", model.objVal)
        print("Protein: ", protein.varValue)
        print("Zinc: ", zinc.varValue)
        print("Fiber: ", fiber.varValue)
        print("Vitamin B4: ", B4.varValue)
    else:
        print("Model is infeasible")

optimize()
```