Food Experiment: GlucoTrojan

How well does a new food additive my glucose spikes?

JBA GlucoTrojan is a powdered version of Reducose that comes in small packets (about $1 each) that you add to a drink before eating. It supposedly reduces glucose spikes, and as part of a trial with Tastermonial, I’ve been testing it to see how well it works for me.

GlucoTrojan uses a proprietary extract that reduces the way the body processes glucose

I did two tests using a high-carb meal made of rice and bone broth from A Dozen Cousins.

A Dozen Cousins makes this handy microwavable rice packet

One two separate mornings on an empty stomach, I drank a glass of water mixed with GlucoTrojan powder and then I ate the entire rice packet. Then I used my open source cgrmr package to do this analysis.

Code

foodname = "Rice Bone Broth"

food_results_a <- cgmr::food_times_df(cgm_data = taster, foodname=foodname)

food_results_a[food_results_a$meal=="1234-6/3-Rice Bone Broth","meal"] <- "Rice"
food_results_a[food_results_a$meal=="1234-6/5-Rice Bone Broth","meal"] <- "Rice w/ GlycoTrojan"

cgmr::plot_food(food_results_a, foodname = foodname) + psi_theme

Code

cgmr::food_table(food_results_a)  %>% 
    kable(digits = 0) %>%
    kableExtra::kable_styling(bootstrap_options = c("striped", "hover", "condensed"))

Experiment	IAUC	Min	Max	Rise
Rice w/ GlycoTrojan	2138	0	33	19
Rice	2520	0	44	14

Another Food: Yogurt

Next I tried a few experiments with a standardized meal, high in carbs:

• 3/4 cup yogurt
• 2 TBS flaxseed
• 1 banana

Code

foodname = "Yogurt"

food_results_a <- cgmr::food_times_df(cgm_data = taster, foodname=foodname)

food_results_a[food_results_a$meal=="1234-6/5-Yogurt","meal"] <- "Yogurt-6/5"
food_results_a[food_results_a$meal=="1234-6/8-Yogurt","meal"] <- "Yogurt-6/8 GlucoTrojan"
food_results_a[food_results_a$meal=="1234-6/9-Yogurt","meal"] <- "Yogurt-6/9 GlucoTrojan"
food_results_a[food_results_a$meal=="1234-6/12-Yogurt","meal"] <- "Yogurt-6/12 GlucoTrojan"
food_results_a[food_results_a$meal=="1234-6/13-Yogurt","meal"] <- "Yogurt-6/13"
food_results_a[food_results_a$meal=="1234-6/14-Yogurt","meal"] <- "Yogurt-6/14"
food_results_a[food_results_a$meal=="1234-6/15-Yogurt","meal"] <- "Yogurt-6/15 GlucoTrojan"

g = cgmr::plot_intervention(food_results_a, "GlucoTrojan")

g + psi_theme + guides(color = guide_legend(title = "Reducose")) 

Code

# cgmr::plot_food(food_results_a, foodname = foodname) + psi_theme
cgmr::food_table(food_results_a)  %>% 
    kable(digits = 0) %>%
    kableExtra::kable_styling(bootstrap_options = c("striped", "hover", "condensed"))

Experiment	IAUC	Min	Max	Rise
Yogurt-6/12 GlucoTrojan	523	-7	13	-7
Yogurt-6/9 GlucoTrojan	738	-6	19	0
Yogurt-6/15 GlucoTrojan	910	-3	19	-1
Yogurt-6/13	957	-10	23	-10
Yogurt-6/8 GlucoTrojan	965	-2	21	0
Yogurt-6/14	1936	-14	45	-13
Yogurt-6/5	3822	0	62	27

Conclusion

At least on this simple test, GlucoTrojan appears to work, significantly reducing my glucose levels long after the meal.