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LEGAL
© COPYRIGHT NOTICE
This
report is the sole property of Glycemic Research
Laboratories/Glycemic Solutions (GS) Corporation,
and may not be copied in any format or portion
without express prior written permission from
GS. Official Document # 77124. |
|
ANALYSIS DIRECTIVE
| • |
In-Real-Time analytical testing methods |
| • |
Standardized
Board-Approved clinical protocols |
| • |
Staff
Physician’s Highly Trained in Glycemic Testing
Protocols |
| • |
Specific
protocols for -0-, low-end, and high-end carbohydrate
Test Foods |
| • |
Product
development trials |
| • |
Age,
ethnic, and metabolic profile Targeted-Protocols |
| • |
Diabetic,
non-diabetic, insulin resistant testing protocols |
REDUCING
VARIABILITY
The
typical variable and error rate in global glycemic
testing has been shown to reach 80 percent, which
is not acceptable for United States (U.S.) government
claims on foods. To reduce this error-rate and
variable down to less than 2 percent, Glycemic
Research Laboratories (GRL) re-structured and
re-designed glycemic testing protocols, which
are now utilized in every clinical study.
Additionally,
glycemic indices for foods can differ by fivefold,
depending on level of adipose tissue body fat,
metabolic Syndrome, BMI, insulin-resistance, diabetes,
food form, and measurement/testing methods used.
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Simultaneous
ingestion of carbohydrate and protein reduces
glycemic response in some foods, while protein
ingestion increases insulin response. Ingesting
carbohydrates with fat typically blunts blood
glucose effect, but does not effect insulin.
Glycemic
Research Laboratories (GRL) testing protocol has
the highest rate of accuracy available (less than
2 % variability), with specific in-real-time
analytical testing methods specifically developed
by Glycemic Research Laboratories.
Specific
protocols have been developed by Glycemic Research
Laboratories for testing carbohydrate foods versus
protein foods versus -0- calorie and low calorie
foods.
Each
GRL clinical protocol is designed to mitigate
variables and stay within FDA and FTC legal guidelines
for claims.
The
variable reduction methodologies designed by Glycemic
Research Laboratories are proprietary.
TARGETED
PROTOCOLS
Targeted
protocols are available to clients seeking clarification
in glycemic and other metabolic responses. Targeted
protocol subjects are selected on the basis of: |
| •
|
Age |
| •
|
Ethnicity |
| •
|
Genetic
Polymorphisms related to obesity (leading in-house
genetic specialist) |
| •
|
Somatotype |
| •
|
Insulin-disorders |
| •
|
Diabetics
(type I and II) |
| •
|
Obese
and BMI-differential |
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CLINICAL INVESTIGATION
PROTOCOLS
GLYCEMIC
INDEXING
High glycemic foods and beverages that elevate
blood glucose and insulin levels cause weight
gain, increased diabetes risk, and tremendous
metabolic stress on the human body, as the body
compensates for excessive insulin levels by producing
more adrenaline, cortisol, and other stress hormones.
Adrenaline,
cortisol, and other stress hormones have two major
effects:
| 1) |
They boost the blood levels of free fatty
acids (FFA) and glucose. High glucose levels
trigger more insulin release, perpetuating
the cycle. |
| 2) |
The stress hormones act with high sugar
levels and insulin itself to raise the blood
pressure, damage the sensitive endothelial
cells that line the arteries, and trigger
the blood clots that can form on cholesterol-laden
plaques to produce heart attacks and strokes. |
MEALS
High glycemic meals promote elevated blood glucose
and insulin levels, as well as direct adipose
tissue fat storage. The glucose excursion that
follows a low versus a high glycemic index meal
directly affects postprandial glycemia. As an
example, the change in plasma glucose one hour
after eating 50 g of spaghetti is half of that
seen 1 hour after eating 50 g of white bread (Reference:
Glycemic Research Laboratories clinical trial
for Mueller’s Pasta).
HIGH
GLYCEMIC MEALS: CASCADE OF EVENTS
High glycemic meals > Postprandial hyperglycemia
>
Increased circulating free fatty acids >
independently contribute to glucotoxicity
>
Oxidative stress > lipotoxicity > insulin
resistance > hyperinsulinemia |
The
glycemic response to a mixed meal can be identified
by feeding subjects weighed portions of a mixed
meal with varying percentages of carbohydrates,
proteins, and fat.
Glycemic
Research Laboratories conducts trials on mixed
meals and frozen meals.
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GLYCEMIC
RESPONSE: ALL CALORIES ARE NOT EQUAL
| • |
Calorie for calorie, high glycemic foods
produce higher insulin levels than low glycemic
foods. |
| • |
Foods
and beverages with -0- calories and -0-
carbohydrates can elicit high insulin levels |
The
Glycemic Response of foods & beverages refers
to the effects elicited by oral ingestion of any
edible agent (not just carbohydrate foods) on
blood glucose concentration and insulin levels
during the digestion process.
All foods and beverages can be designed and/or
re-formulated to moderate and reduce blood glucose
and insulin responses by utilizing Glycemic Research
Laboratories Clinical Investigation Protocols.
DIABETICS
The Nurses’ Health Study, Harvard Medical
School, found that “Women who ate the
most foods with a high glycemic index had a 50%
greater risk of diabetes than those who ate the
least.”
The
study went on report: “Not all foods affect
blood glucose levels in the same way. Some foods
have what is called a high glycemic
index, which means that they can
raise blood glucose levels rapidly.
Eating
a lot of high glycemic index foods forces the
body to produce insulin in large amounts to try
to clear the high levels of glucose in the blood.
Over time, this increase in insulin production
can increase the risk of diabetes.”
Glycemic
Research Laboratories Clinical Investigation Protocols
provide a better understanding of the diabetic
properties and risk associated with foods and
beverages, as well as Nutraceuticals and Pharmaceuticals.
This
allows for proper formulation and marketing of
said products, and for design and re-formulating
options by clients.
NURSES’
HEALTH STUDY ANNUAL NEWSLETTER
Volume 9, 2003
Nurses’ Health Study
Harvard Medical School |
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The
American Diabetes Association (ADA) and the American
Association of Clinical Endocrinologists (AACE)
recommend specific target goals in achieving blood
glucose control
(Table I). |
Table
I
GLYCEMIC
CONTROL TARGETS in DIABETES
The
American Diabetes Association (ADA)
&
American Association of Clinical Endocrinologists
(AACE) |
| Measurement |
Normal |
ADA
Goal |
AACE
Goal |
Plasma glucose (mg/dL)
Preprandial
2h postprandial
|
<
100
< 140 |
90-130
< 180 |
<
100
< 140 |
A1C (%) |
< 6 |
< 7 |
< 6.5 |
|
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SPORTS DRINK PROTOCOLS
In the development of sports-performance-related-products,
professional athletes may be utilized. High glycemic
sports drinks reduce sports performance (GRI Human
Maximum Performance report), and are therefore
contraindicated for professional athletes.
BEVERAGE
PROTOCOLS
Zero-calorie beverages are no longer the answer
to the growing obesity issue. Beverages that contain
-0- calories and -0- carbohydrates are capable
of increasing diabetes risk, and adding body weight,
via the Cephalic Response.
Therefore,
typical glycemic studies are no longer the sole
answer to understanding the metabolic response
of beverages.
Services
are available to beverage clients seeking to identify
the biochemical properties of a beverage, or to
re-design current beverage products, and/or to
develop new beverages. Targeted Clinical Investigation
Protocols seek to identify the major factors involved
in creating beverages.
Beverages
focusing on the “Diet” market are
encouraged to select protocols targeted to analyze:
| • |
Glycemic response |
| • |
Diabetic
response |
| • |
Adipose
tissue fat-storing response |
| • |
Cephalic
response |
SWEETENERS/SUGARS
Sugars and sweeteners, despite the caloric or
carbohydrate content, are capable of high glycemic
reactions on blood glucose and insulin levels.
Sweeteners previously believed to have a glycemic
response of zero have recently been proven to
have definite glycemic properties.
In
the case of sweeteners, the Test Food is prepared
per instructions and confirmed by Brix refractometry.
STEVIA
Doses as low as 1 gram of Stevia elicit a glycemic
index in clinical trials. As doses of Stevia increase,
so does the glycemic index. |
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SUGAR
ALCOHOLS
Sugar alcohols, or polyols, are hydrogenated carbohydrates
that are used in foods primarily as sweeteners and
bulking agents. Sugar alcohols possess varying glycemic
responses, and are not inert, as they exert glycemic
responses, as well as increasing FFA. Free fatty
acids (FFA) and 3-hydroxybutyric acid levels increase
after erythritol (sugar alcohol) administration.
Sugar
alcohols are not the preferred sweetener or bulk,
as they can cause flatulence or a laxative effect
in varying degrees in some individuals. This is
due to their incomplete absorption (in the small
intestine) properties.
Many
food manufacturers claim that sugar alcohols do
not affect blood sugar levels, but in reality,
they do affect the postprandial blood
glucose response in individuals both with and
without diabetes.
PROTOCOLS
for HIGH & LOW END CARBOHYDRATES/CALORIES |
Glycemic
Research Laboratories has designed two separate
Protocols for glycemic clinical testing
based on the carbohydrate content
of the test food: |
| • |
Protocol I is designed for
carbohydrate-rich foods
Carbohydrate-rich foods are tested using 50
gram of carbs from the test food |
| • |
Protocol II is designed
for low carbohydrate and/or low-nutrient
value foods
Very low-carb foods are tested using one-or-more
servings as the test size |
PROTEIN
TEST FOODS
Proteins eaten without carbohydrates can induce
high glycemic responses and fat storage in humans.
Consumption of high amounts of meats or protein
(more than 30 grams ingested at one time) triggers
adipose tissue fat storage and spillage into the
urea cycle, causing liver and kidney problems,
such as elevated liver enzymes, which can disqualify
individuals from obtaining personal health insurance.
In
many cases, ketogenic diets; high protein diets
(Atkins, etc.), are responsible for skewed blood
profiles.
Removing
the patient from a high protein diet for 4-6 weeks
typically returns serum profiles to normal. |
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GI
of ALCOHOL
Most alcoholic beverages contain low amounts of
carbohydrate, ranging from 0 to 4 grams per 100
ml. Beer contains 3-4 grams of carbohydrate per
100 ml. Therefore, consuming large quantities
of beer can over-elevate blood glucose levels.
Consuming one glass of beer slightly elevates
blood glucose levels.
The
high caloric-values of alcohol respond to stimulation
of fat-storage in humans. Favored-wines commonly
contain high glycemic sugars, which can over-elevate
blood glucose and insulin levels, independent
of their alcohol content.
LEGAL
SERVING SIZES
Legal use of the term “Low Glycemic”
in the United States, as dictated by the Federal
government, requires “appropriate serving
size” amounts used in clinical tests.
Appropriate
serving sizes are utilized during GRL clinical
studies. In order to make the claim of “Low
Glycemic” for any human-grade food product,
the United States government requires Board Approved
human In Vivo clinical trials.
In
Vitro and non-clinical trial calculations, and/or
software that claims to be able to determine glycemic
index are not legally permitted for product labeling. |
Glycemic
Research Laboratories In Vivo Clinical trials
focus on glycemic index, glycemic load, glycemic
response, insulin response, Genetic Profiling,
Metabolic Syndrome, fat-storing mechanisms and
factors; Lipoprotein Lipase, Leptin, Neuropeptide
Y, and Cephalic Response.
Test
Food (s) are fed to pre-screened human subjects
selected for specific protocols, such as diabetics,
non-diabetics, obese, age, ethnic, children, and
targeted other groups.
Protocols
are designed by the GRL Medical Advisory Board
(see About Us at www.GlycemicResearchLaboratories.com)
based on the Protocol Design Session.
PROTOCOL DESIGN SESSION
The
client participates in a Protocol
Design Session prior to the testing
phase, which includes:
| • |
Targeted subject group for trials |
| • |
Age
group |
| • |
Adipose
Tissue Fat Shunting Proclivities |
| • |
Genetic
Variances in Obesity (see below) |
| • |
Metabolic
Syndrome (see below) |
| • |
Duration
of trial |
| • |
Number
of subjects in trial (Pool Size) |
| • |
Cross-Analysis
trials (comparative) |
| • |
Percent
glycemic reduction in comparative trials |
| • |
Beverage
analysis (liquid with/without nutrient value) |
| • |
-0-
Calorie protocols |
| • |
Palatability:
taste and mouth-feel profiles (per subject
opinions) |
| • |
Journal
publication options |
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Glycemic
Research Laboratories
Clinical Testing Methodologies
Copyright
© 2007
Page 10 of 17
GENETIC VARIANCES in OBESITY
According to the American Diabetes Association
(publication January 2007), “Half the U.S.
population has the gene that puts them at greater
risk of developing diabetes. The gene causes people
to metabolize fat differently and may hurt their
ability to remove sugar from the blood.”
This genetic variant alters the way half the population
in America processes food, driving foods into
fat cells.
Many
other genetic traits in humans have been identified
which alter food and beverage metabolism. Foods
and beverages can be formulated to address genetically-hard-wired
metabolic variances as related to obesity, overweight,
fat-cell activity, diabetes, and insulin-disorders.
In
Diabetes Today,
AMERICAN DIABETES ASSOCIATION
26-JAN-2007; Half the Country Has Diabetes
Gene |
METABOLIC
SYNDROME SCREENING
Clients may elect to utilize subjects with Metabolic
Syndrome as defined herein, or to eliminate all
subjects diagnosed in-house with Metabolic Syndrome.
STANDARD CLINICAL DEFINITION of METABOLIC
SYNDROME*
| 1. |
Abdominal obesity (waist circumference 40
inches or more)** |
| 2. |
Fasting triglyceride levels of 150 mg/dL or
higher |
| 3. |
HDL cholesterol levels below 40 mg/dL** |
| 4. |
Blood pressure of 130/85 mm Hg or higher |
| 5.
|
Fasting
blood sugar of 110 mg/dL or higher |
| * |
per Harvard University Health Publications
2006 |
| ** |
35-inch
waist for women |
| *** |
HDL
below 50 for women |
|
NEW
PRODUCT DEVELOPMENT & FORMULATION ASSISTANCE
Clients
submitting new products may opt for New
Product Trial Feedback (NPTF) prior
to finalizing a formula.
This
option entails pre-testing of formulas to develop
the most glycemically acceptable form of the Test
Food, assistance with ingredients selection, pre-screening
and testing of formula ingredients and options,
and preferred-outcome selection of formula raw
materials.
Glycemic
Research Laboratories, Medical Advisory Board,
represent expertise in glycemic product development,
having received the first glycemic patent ever
awarded worldwide. For the past 23 years, GRL
staff has been at the forefront of glycemic research
and development.
TRADE
SECRETS
Glycemic Research Laboratories is bound to protect,
and hold private, trade and formula secrets involved
in product testing and product development. GRL
does not publish any clinical trial results, without
express written permission from clients, as this
would compromise proprietary product development.
GRL
proprietary low glycemic, non-Cephalic development
protocols are held in strict confidence by the
GRL development staff, and are not made public
in any circumstances whatsoever.
In
the case of proprietary product development, and
patent applications, Glycemic Research Laboratories
will not accept competing-development projects
(on a case-by-case basis).
Glycemic
Research Laboratories conducts testing and product
development for the largest food companies in
the world, and as such, does not compromise proprietary
trade secrets.
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Glycemic
Research Laboratories
Study Options
Copyright
© 2007
Page 12 of 17
CERTIFICATION
TRIALS
If clients intend to apply for the Glycemic Research
Institute (GRI) Certification Marks; Low Glycemic
and/or Low Glycemic for Diabetics, GRL will apply
appropriate protocols during the trial period,
as specified by GRI’s guidelines.
To
utilize GRI’s Diabetic Certification Marks,
it is mandatory to use diabetic subjects, as diabetics
respond very differently than non-diabetics to
foods, drinks, and Nutraceuticals ingested.
The
Glycemic Research Institute is a non-profit organization
that allows Pro Bono use of its Federally registered
Certification Marks, based on submitted and accepted
Human In Vivo Clinical trials. The Glycemic Research
Institute does not accept In Vitro or non-approved
clinical trials as acceptable proof of glycemic
response. The certification Marks may be viewed
at www.Glycemic.com.
TRADE
JOURNAL PUBLICATION
Protocols can be specifically designed to meet
the requirements of peer reviewed journals. This
must be implemented prior to the onset of the
GRL clinical trial. |
The
glycemic index is a numerical classification based
on Human In Vivo clinical trials designed to quantify
the relative blood glucose response to foods,
drinks, Nutraceuticals, Pharmaceuticals, and any
edible agent.
Glycemic
Research Laboratories (GRL) Human In Vivo Clinical
trials have been developed over a 20-year period,
focusing on reduction of testing variables. GRL
trials are conducted under direction of the Glycemic
Research Laboratories (GRL) Medical Advisory Board,
M.D.’s, Professor’s of Medicine, and
PhD statisticians.
Testing
methods are approved by the Institutional Review
Boards for the State of Florida, and the International
Clinical Study Review Board. Specific analytical
testing methods are the property of GRL.
METHODS
All blood work and analytical calculations are
conducted in-house in Real-Time. Utilizing
standardized Glycemic Research Laboratories Board-Approved
clinical protocols, accommodations are made for
low-end or high-end carbohydrate Test Foods.
Ten
pre-screened human subjects are typically used
for each product tested. Clients may elect to
use larger pools of subjects.
White
bread is used as the standard. Each subject is
fed a minimum of three bread standards for comparison
to the products tested. Calculations are made
using the area under the curve (AUC) as compared
to bread standards (converted to the glucose scale).
AUC is calculated by GRL statisticians using standard
Glycemic Research Laboratories protocols.
Fasting
blood glucose measurements are made, and at 15-minute
intervals throughout the trial, for 2-4 hours,
or until blood glucose levels stabilize.
Capillary blood is preferred: the results for
capillary blood glucose (BG) are less variable
than that of venous plasma glucose. Additionally,
elevations in BG are greater in capillary blood
than venous plasma, and the differences in Test
Foods and bread standards are easier to detect
statistically using capillary blood glucose.
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Glycemic
Research Laboratories
Research Design & Methods
Copyright
© 2007
Page 14 of 17
PROTOCOLS
When VBP is called for in clinical trials, the
GRL protocol calls for an overnight fast of 12
h, a blood sampling i.v. cannula was inserted
into the antecubital vein. Blood samples are taken
at -5, -10 and -15 minutes (analysed as a pool)
before the Test Food, and every 15 minutes for
the first hour, and every 30 minutes thereafter,
to a 5-hour postprandial period.
Taste,
mouth-feel, gastrointestinal issues; nausea, flatulence,
bloating, are recorded.
Results presented in the final Test Food report
are based on the glucose scale. Glycemic index
and glycemic load values are converted to the
glucose = 100 scale by multiplication with the
factor 0.7.
SUBJECTS undergo a two-visit
protocol, the first to determine glucose tolerance
status and the second to measure SI. Subjects
fast for 12 h before each of the two visits, and
abstain from alcohol for 24 h. Smoking is prohibited
on the day of the study.
Anthropometric measures are taken for each subject.
Height and weight are measured in duplicate and
recorded to the nearest 0.5 cm and 0.1 kg, respectively.
BMI is calculated as weight (in kilograms) divided
by the square of height (in meters). Waist circumference
is measured at the natural indentation or at a
level midway between the iliac crest and the lower
edge of the rib cage if no natural indentation
was visible. Waist is recorded to the nearest
0.5 cm, and the mean of two measures within 1
cm of each other is used.
| •
|
Waist
circumference (cm) |
| •
|
Disposition
index |
| •
|
BMI
(kg/m2) |
| •
|
Insulin
sensitivity (min–1 • µU–1
• mL–1 • 10–4) |
| •
|
Fasting
insulin (pmol/l) |
| •
|
AIR
(µU • ml–1 • min–1) |
A 2-h, 75-g oral glucose tolerance test is performed
during the first visit, and World Health Organization
(WHO) criteria is used to assign glucose tolerance
status. Subjects taking oral hypoglycemic medications
are classified as type 2 diabetics.
|
Glycemic
Research Laboratories
Research Design & Methods
Copyright
© 2007
Page 15 of 17
Acute
insulin response (AIR) and SI are assessed
using a 12-sample, insulin-enhanced, frequently
sampled intravenous glucose tolerance test (FSIGT)
with minimal model analysis. Modifications of
the protocol are used when appropriate for targeted
Trials. AIR and fasting insulin are log transformed:
logarithmic transformations, the disposition index,
typically calculated as the product of AIR and
SI, is preferentially created as the sum of log
(AIR + 20) and log (SI + 1).
AIR is calculated based on insulin levels through
the 8-min blood samples before insulin infusion.
Fasting plasma insulin was determined by radioimmunoassay.
SI is calculated by mathematical modeling methods;
the time course of plasma glucose was fit using
nonlinear least squares methods with the plasma
insulin values as a known input to the system.
Mean glycemic index values are assigned to white
bread standard purchased at available grocery
stores.
In our subject pre-screening, typical glycemic
index (GI) and glycemic load (GL) are 58 and 128
g/day, respectively. A higher SI value expresses
increased insulin sensitivity, while higher fasting
insulin implies increased insulin resistance.
Higher AIR indicates greater insulin secretion
in response to glucose, and higher disposition
index implies increasing pancreatic functionality.
Positive linear relationships are observed between
food/liquid intake and levels of fasting insulin,
BMI, and waist circumference.
Adjustments are made for non-carbohydrate Test
Foods using the Residual Method.
Dietary fiber intake and measures of SI, insulin
secretion and adiposity are made, including multivariate
adjustment and scoring, as dietary fiber in a
Test Food is associated with SI, fasting insulin,
BMI, and waist circumference. In our trials, it
is observed that 1 8-10 gram fiber content is
associated with lower level of fasting insulin
with statistically higher level of SI. Significant
linear relationship between glycemic load and
outcome levels is observed, that are positive
for fasting insulin, BMI, and waist circumference
and inverse for SI.
Outliers are recorded.
Subject
responses to Test Food activation of adipose-tissue
fat-storage mechanisms, IE LPL, are tracked and
recorded per GRL protocols. |
Glycemic
Research Laboratories
Research Design & Methods
Copyright
© 2007
Page 16 of 17
If Cephalic Response testing is included in the
protocol, it is recorded during the first 60 seconds
after the subjects have mouth-contact with the
Test Food, and for 30-second intervals thereafter.
Swallow versus non-swallow protocols are utilized
for accuracy, as digestion of dietary carbohydrates
starts in the mouth, where salivary a-amylase
initiates starch degradation.
Venous blood samples for insulin and FFA are collected
in glass tubes and allowed to coagulate on ice
for 10 min, then stored immediately at -20°C
until analysis (IN-REAL-TIME).
Blood glucagon samples are taken in Vacutainer-EDTA
with Trasylol® added (50µl/ml of blood),
and then plasma is obtained and processed immediately.
Serum glucose is assayed by the glucose oxidase
method (Photometric Instrument 4010, Roche, Basel,
Switzerland).
CALCULATIONS & STASTICAL ANALYSIS
GI (%) = ∑(carbohydrate content of each
food item (g) × GI)/total amount of carbohydrate
in meal (g); GL (g) = ∑(carbohydrate content
of each food item (g) × GI)/100.
Area beneath baseline is not utilized.
Serum glucose and insulin postprandial responses
are assessed using incremental (iAUC) and total
area under the curve (tAUC) at 2 h, 5 h and between
2–5 h. Serum FFA and plasma glucagon postprandial
responses are assessed using the tAUC at 2 h,
5 h and between 2–5 h. iAUC and tAUC are
geometrically calculated using the trapezoidal
method.
GLYCEMIC INDEX DEFINITIONS
The glycemic index (GI) of a particular food is
determined by calculating the incremental area
under the blood glucose response curves (iAUC)
for that food compared with a standard control
of white bread (utilizing the trapezoid rule).
Glycemic Response and Cephalic Response are defined
differently, are based on ingestion of Test Foods
and beverages that have nutrient value, and -0-
nutrient value.
GLYCEMIC RESPONSE/IMPACT
Refers to the effects elicited by oral ingestion
of any edible agent (not just carbohydrate foods)
on blood glucose concentration and insulin levels
during the digestion process. |
Glycemic
Research Laboratories
Research Design & Methods
Copyright
© 2007
Page 17 of 17
Glycemic
Index (GI) alone is unable to predict the glycemic
response/impact when different amounts of carbohydrates
are eaten. Glycemic Load must be utilized in conjunction
with GI to differentiate the acute impact on blood
glucose and insulin responses induced by Test
Foods.
GLYCEMIC LOAD (GL)
Glycemic Load is based on a specific quantity
and carbohydrate content of the test food. GL
is calculated by multiplying the weighted mean
of the dietary glycemic index by the percentage
of total energy from the test food.
When
the test food contains quantifiable carbohydrates,
the Glycemic Load equals GI (%) x grams of carbohydrate
per serving. One unit of GL approximates the glycemic
effect of 1 gram of glucose. Typical diets contain
from 60-180 GL units per day.
A HIGH GLYCEMIC LOAD diet is
defined as: 60% carbohydrate, 20% protein, 20%
fat (glycemic load 116 g/1000 kcal).
A LOW GLYCMIC LOAD diet is defined
as: 40% carbohydrate, 30% protein, 30% fat, (glycemic
load 45 g/1000 kcal).
GLUCOSE SCALE
Results presented in the final Test Food report
are based on the glucose scale. Glycemic index
and glycemic load values are converted to the
glucose = 100 scale by multiplication with the
factor 0.7.
SAMPLE
STUDY
The following Human In-Vivo Clinical Trial was
conducted by Glycemic Research Laboratories (GRL)
in 2007, and is utilized as an example (Report
ID: GTD-0307) of a typical GRL clinical trial.
No copies of this report may be made, transferred,
or used in any format whatsoever, and remains
the sole property of Glycemic Research Laboratories.
|
The
following references represent Glycemic Research
Laboratories review and adoption of protocols
and methods utilized in Glycemic Index Testing.
These include mathematical models used in the
clinical identification of specific aspects of
blood glucose, insulin, diabetes, insulin resistance,
and other related metabolic perimeters. Various
deterministic and stochastic tools are available,
both simple and comprehensive, in evaluating trial
data, which include partial differential equations,
integral equations, matrix analysis, optimal control
theory, differential equations, and computer algorithms.
Mari A. Mathematical modelling in glucose metabolism
and insulin secretion. Current Opinion Clinical
Nutrition Metabolism Care. 2002;5:495–501.
doi: 10.1097/00075197-200209000-00007
Boutayeb A, Twizell EH, Achouyab K, Chetouani
A. A mathematical model for the burden of diabetes
and its complications. Biomedical Engineering
Online. 2004;3:20. doi: 10.1186/1475-925X-3-20.
Boutayeb A, Chetouani A, Achouyab K, Twizell EH.
A non-linear population model of diabetes mellitus.
Journal of Applied Mathematics and Computing.
2006;21:127–139.
T. J. Orchard et al. Modeling Chronic Glycemic
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