Effects of a water-soluble cinnamon extract on body composition and features of the metabolic syndrome in pre-diabetic men and women.

PURPOSE: The purpose of this study was to determine the effects of supplementation with a water-soluble cinnamon extract (Cinnulin PF(R)) on body composition and features of the metabolic syndrome.
METHODS: Twenty-two subjects with prediabetes and the metabolic syndrome (mean +/- SD: age, BMI, systolic blood pressure [SBP], fasting blood glucose [FBG]: 46.0 +/- 9.7 y; 33.2 +/- 9.3 kg/m2; 133 +/- 17 mm Hg; 114.3 +/- 11.6 mg/dL) were randomly assigned to supplement their diet with either Cinnulin PF(R) (500 mg/d) or a placebo for 12-weeks. Main outcome measures were changes in FBG, SBP, and body composition measured after 12-weeks of supplementation. The primary statistical analyses consisted of two factor (group x time), repeated-measures ANOVA for between group differences over time. In all analyses, an intent-to-treat approach was used and significance was accepted at P < 0.05.
RESULTS: Subjects in the Cinnulin PF(R) group had significant decreases in FBG (-8.4%: 116.3 +/- 12.8 mg/dL [pre] to 106.5 +/- 20.1 mg/dL [post], p < 0.01), SBP (-3.8%: 133 +/- 14 mm Hg [pre] to 128 +/- 18 mm Hg [post], p < 0.001), and increases in lean mass (+1.1%: 53.7 +/- 11.8 kg [pre] to 54.3 +/- 11.8 kg [post], p < 0.002) compared with the placebo group. Additionally, within-group analyses uncovered small, but statistically significant decreases in body fat (-0.7%: 37.9 +/- 9.2% [pre] to 37.2 +/- 8.9% [post], p < 0.02) in the Cinnulin PF(R) group. No significant changes in clinical blood chemistries were observed between groups over time.
CONCLUSION: These data support the efficacy of Cinnulin PF(R) supplementation on reducing FBG and SBP, and improving body composition in men and women with the metabolic syndrome and suggest that this naturally-occurring spice can reduce risk factors associated with diabetes and cardiovascular diseases.

RCT Entities:   Population Interventions Outcomes

Introduction

A number of spices and herbs have a long history of traditional use in treating elevated blood sugar levels [1]. One such compound that has recently been the subject of intense research is cinnamon, a compound granted GRAS (Generally Recognized As Safe) status by the United States Food and Drug Administration. The beneficial effects of cinnamon on glucose control appear to be in part due to doubly-linked polyphenol type-A compounds [2]. Over the past two decades, in vitro and in vivo data have been accumulating which support the role of cinnamon on glycemic control. For example, Jarvill-Taylor et al. [3] reported that cinnamon stimulated glucose uptake, glycogen synthesis, and activated glycogen synthase in 3T3-L1 adipocytes. In rats, cinnamon enhanced glucose uptake by enhancing insulin-stimulated tyrosine phosphorylation of insulin receptor-β, insulin receptor substrate-1, and phosphatidylinositol 3-kinase in a dose-dependent fashion [4,5]. To date, human studies demonstrating beneficial effects of cinnamon supplementation on glucose regulation have studied subjects with type II diabetes [6,7]. In a dose-response study, Khan et al. [6] reported that 40-days of supplementation with 1, 3, or 6 grams of whole cinnamon per day resulted in dose-dependent decreases in fasting blood glucose (FBG), and improvements in blood lipid profiles, in subjects with poorly controlled diabetes and dyslipidemia. More recently, Mang et al. [7] reported a 10.3% decrease in FBG after four months of supplementation with a purified aqueous cinnamon extract. Thus, the effects of cinnamon and cinnamon extract on improving insulin signaling and glucose regulation in type II diabetics appear promising.

Several studies have linked diabetes to obesity-induced insulin resistance [8]. In this regard, an estimated 41 million people in the U.S. have prediabetes, a condition of elevated fasting blood sugar that is strongly associated with hyperlipidemias and cardiovascular disease [9]. When considered collectively, elevated blood sugar, hyperlipidemia, hypertension, and obesity constitute a potentially dangerous physiological condition known as "Syndrome X" or the Metabolic Syndrome. The National Cholesterol Education Program has established the current criteria for the metabolic syndrome as ≥ three of the following: 1) waist circumference > 102 cm (40 inches) for men or > 88 cm (35 inches) for women; 2) a fasting total serum triacylglycerol concentration of > 1.7 mmol/L (150 mg/dL); 3) a fasting HDL cholesterol concentration < 1.0 mmol/L (40 mg/dL) for men or < 1.2 mmol/L (50 mg/dL) for women; 4) a fasting glucose > 6.1 mmol/L (110 mg/dL); or blood pressure > 130 mm Hg (systolic) and/or 85 mm Hg (diastolic) and/or the use of antihypertensive medication [10]. In addition to the positive effects of cinnamon on glucose regulation, there are data which support the beneficial effects of cinnamon on blood pressure [11] and hyperlipidemias [6]. Though limited, the existing evidence suggests a potential role for cinnamon as a positive influence on several features of the metabolic syndrome.

The purpose of this placebo-controlled, double-blind study was to determine the effects of supplementation with a specific water-soluble cinnamon extract (Cinnulin PF®) on FBG and body composition in prediabetic men and women with features of the metabolic syndrome. In addition, to assess the safety profile of this compound we measured changes in standard markers of health (e.g., resting heart rate and blood pressure) and clinical chemistry panels of serum and plasma. Several markers of plasma antioxidant status as well as long-term glucose control and insulin sensitivity were also measured, and will be addressed in a separate manuscript (in preparation).

Research Design and Methods

Experimental approach

This study was a randomized, placebo-controlled, double-blind clinical trial with two parallel groups. Serum chemistry, body weight, and body composition were measured at baseline and at the end of the 12-week supplementation period. Subjects also completed 3-day food records and had measurements of their systolic and diastolic blood pressures during pre (week 0), mid (week 6), and post (week 12) testing. Figure 1 presents the flow of participants through the study.

Figure 1

Study Flow Chart. *One subject in the Cinnulin group withdrew at week 6 due to pregnancy. For this subject, we imputed her remaining data using the last-observation-carried-forward method (i.e., week 0 values were used at week 6 and week 12).

Subjects

Subjects were recruited from northeastern Ohio, a typical suburban region, by word of mouth and posted announcements. Thirty potential participants aged 30–60 years were interviewed by telephone. Of these, 22 were invited for a preliminary screening consisting of height, weight, blood pressure, and a fasting blood sample. Subjects were required to have FBG between 100 mg/dL (5.6 mmol/L) and 125 mg/dL (6.9 mmol/L), have normal values for liver and kidney function tests, and be willing to maintain their usual dietary and physical activity habits. Subjects were excluded from the study if they had a body mass index (BMI) > 40 kg/m2, thyroid disease, hypogonadism, a history of musculoskeletal, autoimmune, or neurologic disease, or if they were currently taking thyroid, hyperlipidemic, hypoglycemic, anti-hypertensive, or anti-coagulant medications. Prior to obtaining written informed consent from each subject, an institutional review board (IntegReview Inc, Austin, TX) approved the experimental protocol. All procedures in the study were in accord with ethical standards set forth in the Helsinki Declaration of 1975, as revised in 1983.

Supplementation

After matching for age, FBG, SBP, and habitual physical activity levels, subjects were randomly assigned to a Cinnulin PF® (n = 12) or placebo (n = 10) group. Each subject was instructed to take two capsules (250 mg) of their respective supplement twice per day (with breakfast and dinner). According to the manufacturer, 500 mg of Cinnulin PF® is equivalent to approximately 10 g of whole cinnamon powder (i.e., 20:1 extract), and contains at least 1% doubly-linked polyphenol type-A polymers (considered to be the bioactive component). Supplements were prepared in a 2-piece hard shell capsule form and packaged in coded generic containers for double-blind administration by Integrity Nutraceuticals International (Sarasota, FL). Medical monitoring and compliance to the supplementation protocol was supervised by a research technician who contacted the subjects on a weekly basis. Each subject was required to return the original bottle of their respective supplement for capsule counts during mid (week 6) and post (week 12) testing.

Heart rate and blood pressure

All subjects reported to the laboratory after a 12-hour fast and at least 48-hours after participating in intense physical activity. Following ten minutes of seated rest, subjects' heart rate and blood pressure were determined by palpation of the radial artery and aneroid sphygmomanometry, respectively. The same technician performed all measurements using standard procedures.

Blood collection and analyses

Immediately following blood pressure readings, approximately 20 mL of blood was drawn with stasis via venipuncture of an antecubital vein. All blood samples were taken in the morning at approximately the same time of day to minimize diurnal variation, and subjects used their baseline diet records to standardize their final (evening) meal before mid (week 6) and post (week 12) testing.

Blood samples were harvested into tubes with and without EDTA, centrifuged (Drucker Model 614, Philipsburg, PA) at room temperature for 15 minutes at 1200 × g to obtain plasma and serum, and immediately placed into two aliquots. One aliquot was immediately analyzed for a 21-item clinical chemistry profile (Hitachi D2400, Roche Diagnostics, Germany) by a certified clinical laboratory (Laboratory Corporation of America, Dublin, OH). This profile consisted of a comprehensive metabolic panel (glucose, BUN, creatinine, sodium, potassium, chloride, carbon dioxide, calcium, total protein, albumin, globulin, total bilirubin, alkaline phosphatase, AST [SGOT], and ALT [SGPT]) as well as a lipid profile (total cholesterol, HDL-C, LDL-C, VLDL-C, triacylglycerol).

Body composition

Body weight was measured using a calibrated digital A&D™ Medical Scale (Model UC-300, Milpitas, CA), standing height was measured using a wall-mounted stadiometer (Seca Model 216, Hanover, MD) and body composition was measured with dual-energy x-ray absorptiometry (GE Lunar DPX Pro, Madison, WI). All dual-energy x-ray absorptiometry (DEXA) scans were performed by the same technician and analyzed according to software (enCORE version 7.53.002, 2003) provided by the manufacturer. Briefly, subjects were positioned in the scanner according to standard procedures and remained motionless for approximately 15 minutes during scanning. DEXA segments for the arms, legs, and trunk were subsequently obtained using standard anatomical landmarks. Using a three-compartment model, DEXA calculates fat mass, lean mass, and bone mass. Percent fat was calculated by dividing fat mass by the total scanned mass. Quality control calibration procedures were performed prior to all scans using a calibration block provided by the manufacturer. Prior to this study, we determined test-retest reliability for repeated measurements of lean mass, bone mineral content, and fat mass with this DEXA via intra-class correlation coefficients. All values were > 0.98.

Diet and physical activity

As mentioned previously, this study used a free-living design where subjects were advised to maintain their normal diet during the study. To verify this, subjects completed 3-d food records (which included two weekdays and one weekend day) during baseline testing, week 6, and week 12. All food records were analyzed by a licensed, registered dietitian using commercially available software (NutriBase IV Clinical Edition, AZ). To enhance accuracy of the food records, all subjects received instruction during baseline testing on how to accurately estimate portion sizes. This counseling was reinforced during each visit to the laboratory. No dietary supplements were allowed with the exception of standard strength multivitamins. Subjects were also advised to maintain their current level of habitual physical activity throughout the study. Physical activity levels were measured with the Framingham Physical Activity Index [12] during baseline testing, week 6, and week 12.

Statistical analyses

Statistical analyses were conducted using Statistica version 7.1 (Stat Soft Inc., Tulsa, OK). Differences between groups at baseline were analyzed with independent t-tests and chi-square tests. Separate 2 × 2 or 2 × 3 (Group × Time) univariate ANOVA with repeated measures on the last factor were used to analyze between group differences over time. Since a drop-out did occur in this study, intent-to-treat analyses (ITT) were performed, using the last-observation-carried-forward method. In an ITT approach, all randomized subject's data are included in the data analyses, regardless of whether they complete the trial or are compliant with the procedures. In contrast, most studies on dietary supplements use a "per protocol" analysis and exclude non-compliant subjects or subjects who drop-out. Although a discussion of ITT analyses is beyond the scope of this paper, many researchers consider ITT to be the preferred method of data analysis in clinical efficacy studies as it is less prone to bias. Readers are referred to Hollis et al. [13] and Moher et al. [14] for a more thorough overview of ITT analyses. When a significant interaction was observed, Fisher's Least Significant Differences (LSD) posthoc test was performed. When the interaction term was "marginally significant" (i.e., 0.05 < P < 0.10), changes from day 0 to day 84 within treatment groups were assessed with a paired t-test. Differences were considered statistically significant at P < 0.05. Power analysis for this 2 × 3 design indicated that a sample size of 10–15 subjects per group yields moderate power (≥ 0.80) for delta values of 0.75 to 1.25.

Results

Table 1 presents baseline characteristics of the subjects. Both groups met the criteria of the Adult Treatment Panel III of the National Cholesterol Education Program for having the metabolic syndrome [10]. Specifically, both groups had FBG > 110 mg/dL (Cinnulin: 116 ± 13, Placebo: 112 ± 10), systolic BP > 130 mm Hg (Cinnulin: 133 ± 14, Placebo: 133 ± 22) and triacylglycerol > 150 mg/dL (Cinnulin: 166 ± 142, Placebo: 165 ± 107). There were no significant differences in general, metabolic, or dietary characteristics between groups at baseline (Table 1).

Table 1

Baseline Characteristics of Subjects

	Placebo (n = 10)	Cinnulin (n = 12)	P-value
General
Sex (M/F)	3/7	8/4	0.15
Age (y)	45.6 ± 11.1	46.3 ± 8.8	0.88
Weight (kg)	89.3 ± 30.6	93.1 ± 18.1	0.72
BMI (kg/m2)	34.4 ± 12.6	32.3 ± 5.7	0.61
Body Fat (%)	43.8 ± 8.0	37.9 ± 9.2	0.13
Lean Mass (kg)	43.9 ± 11.1	53.7 ± 11.8	0.06
Metabolic
Systolic Blood Pressure (mm Hg)	133 ± 22	133 ± 14	0.94
Diastolic Blood Pressure (mm Hg)	83 ± 14	83 ± 6	0.94
Glucose (mg/dL)	112 ± 10	116 ± 13	0.40
Total Cholesterol (mg/dL)	192 ± 49	185 ± 44	0.72
LDL Cholesterol (mg/dL)	105 ± 52	107 ± 36	0.90
VLDL Cholesterol (mg/dL)	33 ± 21	25 ± 9	0.28
HDL Cholesterol (mg/dL)	55 ± 14	50 ± 13	0.36
Triacylglycerol (mg/dL)	165 ± 107	166 ± 142	0.99
Dietary
Kcals/day	1706 ± 427	1741 ± 551	0.87
% Carbohydrate	46 ± 13	43 ± 12	0.59
% Fat	33 ± 9	33 ± 10	0.98
% Protein	20 ± 11	23 ± 7	0.38
Fiber (grams/d)	14 ± 7	16 ± 8	0.42

Data are expressed as group means ± SD. P-values were calculated from independent t-tests for all variables except sex (where a chi-square test was used). No significant differences were noted between groups, although there was a trend for greater lean mass in the Cinnulin group (P < 0.06). To convert glucose from mg/dL into mmol/L multiply by 0.0555; to convert cholesterol (total, LDL-C, VLDL-C and HDL-C) from mg/dL into mmol/L multiply by 0.0259; to convert triacylglycerol from mg/dL into mmol/L multiply by 0.0113.

Supplementation Compliance and Adverse Events

Compliance to the supplementation regimen was defined as the number of capsules actually taken by each subject divided by the number of capsules that should have been taken over the course of the study. Excluding one drop-out in the Cinnulin group, compliance was > 97% in both groups. Adverse events were based on spontaneous reporting by subjects as well as open-ended inquiries by members of the research staff. No adverse events were reported during the study in either group.

HR and BP

After 12-weeks, subjects in the Cinnulin group decreased their SBP by 3.8% (from 133 ± 14 mm Hg [pre] to 128 ± 18 mm Hg [post], P < 0.001) compared to subjects in the Placebo group (from 133 ± 22 mm Hg [pre] to 142 ± 20 mm Hg [post]). No between or within-group changes in diastolic blood pressure (Cinnulin: from 83 ± 6 mm Hg [pre] to 84 ± 9 mm Hg [post]; Placebo: from 83 ± 14 mm Hg [pre] to 86 ± 12 mm Hg [post], P < 0.32) or HR (Cinnulin: from 69 ± 14 beats/min [pre] to 69 ± 12 beats/min [post]; Placebo: from 71 ± 15 beats/min [pre] to 74 ± 8 beats/min [post], P < 0.73) were noted in either group.

Blood Chemistry

Figure 2 presents changes in FBG during the study. Subjects in the Cinnulin group had significant decreases in FBG (-8.4%: from 116.3 ± 12.8 mg/dL [pre] to 106.5 ± 20.1 mg/dL [post], P < 0.01) compared to subjects in the Placebo group (from 112.0 ± 10.0 mg/dL [pre] to 113.1 ± 14.7 mg/dL [post]). No other between group effects were noted for BUN, creatinine, bilirubin, alkaline phosphatase, AST (SGOT), ALT (SGPT), sodium, potassium, chloride, calcium, albumin, globulin, CO2, total protein, total cholesterol, HDL-C, LDL-C, VLDL-C, or triglycerides and all values remained within normal clinical limits (selected hematological variables are shown in Table 2).

Figure 2

Significant Changes in Primary Endpoints During the Study. Data are expressed as change scores (week 12 – week 0). Values represent group means ± SE. P-values were calculated from repeated measures (group × time) ANOVA, except for % fat where a dependent t-test was used following a marginally significant (P < 0.06) interaction term.

Table 2

Selected Hematological Responses to Supplementation.

	Placebo (n = 10)	Cinnulin (n = 12)	P-value (GxT)	Reference Interval
BUN:Creatinine			0.21	8–27
Pre	16 ± 5	16 ± 4
Mid	19 ± 5	18 ± 4
Post	16 ± 4	18 ± 4
Bilirubin (mg/dL)			0.50	0.1–1.2
Pre	0.5 ± 0.1	0.7 ± 0.3
Mid	0.5 ± 0.1	0.8 ± 0.4
Post	0.5 ± 0.2	0.6 ± 0.3
Alkaline Phosphatase (IU/L)			0.12	25–150
Pre	77 ± 17	65 ± 14
Mid	71 ± 16	67 ± 16
Post	67 ± 16	60 ± 11
Aspartate aminotransferase (IU/L)			0.94	0–40
Pre	29 ± 15	29 ± 17
Mid	26 ± 11	26 ± 13
Post	25 ± 8	24 ± 8
Alanine aminotransferase (IU/L)			0.59	0–40
Pre	30 ± 16	38 ± 28
Mid	30 ± 17	34 ± 25
Post	28 ± 14	32 ± 22
Cholesterol (mg/dL)			0.81	100–199
Pre	192 ± 49	185 ± 44
Mid	191 ± 50	190 ± 36
Post	193 ± 47	190 ± 33
Triacylglycerol (mg/dL)			0.75	0–149
Pre	165 ± 107	166 ± 142
Mid	172 ± 111	152 ± 76
Post	195 ± 146	162 ± 132
HDL (mg/dL)			0.73	40–59
Pre	55 ± 14	50 ± 13
Mid	54 ± 15	48 ± 13
Post	55 ± 16	50 ± 13
VLDL (mg/dL)			0.31	5–40
Pre	33 ± 21	25 ± 9
Mid	34 ± 21	30 ± 15
Post	36 ± 22	25 ± 11
LDL (mg/dL)			0.44	0–99
Pre	105 ± 52	107 ± 36
Mid	102 ± 57	112 ± 34
Post	99 ± 54	111 ± 29

Data are expressed as group means ± SD. P-values were calculated from two-way (group × time) ANOVA. No significant differences were noted between groups over time. To convert bilirubin from mg/dL into mmol/L multiply by 17.1; to convert cholesterol (total, LDL-C, VLDL-C and HDL-C) from mg/dL into mmol/L multiply by 0.0259; to convert triacylglycerol from mg/dL into mmol/L multiply by 0.0113.

Body Composition

Figure 2 presents changes in body composition during the study. Subjects in the Cinnulin group increased their lean mass by 1.1% (from 53.7 ± 11.8 kg [pre] to 54.3 ± 11.8 kg [post], P < 0.002), and decreased their body fat by 0.7% (from 37.9 ± 9.2% [pre] to 37.2 ± 8.9% [post]; within-group analysis, P < 0.02). No changes in lean mass (from 43.9 ± 11.1 kg [pre] to 43.1 ± 10.9 kg [post]) or fat mass (from 43.8 ± 8.0% [pre] to 44.2 ± 9.0% [post]) were noted in the Placebo group. Because the baseline value for lean mass was marginally significant (P < 0.06), we also performed an ANCOVA using week 0 lean mass as the covariate. Results confirmed that lean mass at week-12 was significantly greater in the Cinnulin group (P < 0.004).

Diet and Physical Activity

Table 3 presents totals for three-day dietary intake obtained during the study. No changes in total daily energy, macronutrient, or fluid intake were noted during the study, although there was a trend for subjects in the Cinnulin group to consume more total energy (P < 0.07). Follow-up testing for within-group changes (via dependent t-test) indicated subjects in the Cinnulin group ingested significantly more total energy during week-12 (P < 0.04). Due to errors in data recording and processing, our quantitative assessment of physical activity (via the Framingham Physical Activity Index) could not be accurately completed. However, during mid and post-testing, no subject reported any changes in habitual activity levels during the course of the study.

Table 3

Three-day Total Dietary Intake of Subjects

	Placebo (pre)	Placebo (post)	Cinnulin (pre)	Cinnulin (post)	P-value (GxT)
Total energy (kcals/d)	1706 ± 427	1613 ± 364	1741 ± 551	1982 ± 530	0.07
Carbohydrate (%)	46 ± 13	46 ± 11	43 ± 12	43 ± 10	0.94
Fat (%)	33 ± 9	33 ± 8	33 ± 10	35 ± 7	0.70
Protein (%)	20 ± 11	20 ± 7	23 ± 7	21 ± 7	0.91
Fluid Intake (oz)	20 ± 10	25 ± 8	24 ± 9	25 ± 9	0.39
Saturated fat (g/d)	18 ± 10	18 ± 11	16 ± 7	23 ± 13	0.37
Cholesterol (mg/d)	331 ± 239	280 ± 174	258 ± 137	275 ± 155	0.26
Sodium (mg/d)	3402 ± 1488	4160 ± 2098	4426 ± 2351	4419 ± 1943	0.58
Fiber (g/d)	14 ± 7	17 ± 7	16 ± 8	20 ± 11	0.65

Data are expressed as group means ± SD. P-values were calculated from repeated measures (group × time) ANOVA. No significant differences were noted between groups over time, although there was a trend (P < 0.07) for subjects in the Cinnulin group to ingest more total energy. To convert from kcals into Joules (kJ) multiply by 4186; to convert from ounces (oz) into milliliters multiply by 29.573.

Discussion

Our findings indicate that consuming 500 mg/day of a specific aqueous extract of cinnamon (Cinnulin PF®) for 12-weeks leads to significant improvements in several features of the metabolic syndrome (i.e., fasting blood sugar, systolic blood pressure, and body composition). Because of the relationship between the metabolic syndrome and cardiovascular disease, these results, if confirmed by other research groups, have important implications for public health. To our knowledge, this is the first study in humans that used cinnamon powder standardized to what is currently considered to be the bioactive component (e.g. doubly-linked polyphenol type-A polymers) [2]. This is important as Cinnamomum cassia is a large genus, and there may be differences in bioactivity due to methods of preparation, extraction, and geographical source.

The observed reduction in FBG in our study is less than that of Khan et al. [6] and similar in magnitude to Mang et al. [7]. Khan et al. studied the effects of 1, 3, and 6 g/d of whole cinnamon powder on FBG and serum lipids in 60 people with poorly controlled type 2 diabetes from Pakistan. After 40 days of supplementation, FBG decreased by 18–29%, cholesterol decreased by 12–26%, LDL cholesterol decreased by 7–27%, and triacylglycerol decreased by 23–30%. More recently, Mang et al. supplemented 79 people with type 2 diabetes from Germany with 3 g/d cinnamon powder or a placebo for four months.

Although no changes in blood lipids or glycosylated hemoglobin (HBA1c) were noted, researchers did find a 10.3% reduction in FBG. In both studies (as well as ours), no adverse events were reported by subjects taking cinnamon, and subjects with the poorest glycemic control appeared to benefit the most. In agreement with Mang et al. [7], but in contrast to Khan et al. [6], we found no changes in blood lipids from cinnamon supplementation. We suspect this is because: 1) our subjects' lipid levels were not abnormal, and 2) the observed decrease in FBG (-8.4%) was not large enough to affect lipid metabolism. Regardless, given the strong effects of cinnamon on insulin signaling in animal models, future studies in humans should consider examining changes in more sensitive predictors of cardiovascular disease risk (i.e., various lipoprotein subfractions). The statistically significant decrease in systolic SBP observed in this study (from 133 to 129 mm Hg, P < 0.001) echoes findings from Preuss et al. [11] in spontaneously hypertensive rats, and was clinically meaningful in that values > 130 mm Hg are considered to be a risk factor for the metabolic syndrome [10].

Not all studies have found beneficial effects of cinnamon on FBG. Vanschoonbeek et al. [15] reported no effect of 1.5 g/d × 6 wk cinnamon powder on indices of glycemic control (FBG, insulin, oral glucose tolerance test [OGTT], HBA1c, insulin sensitivity, and insulin resistance) or blood lipids in 25 postmenopausal women from the Netherlands. That study is different from that of Khan et al. [6] and Mang et al. [7] (as well as the current study) in that only postmenopausal females were included as subjects. Whether differences in hormonal milieu affect the potential interaction between cinnamon supplementation and glucose control is unknown at this time.

A unique finding in our study is the small, but statistically significant improvement in body composition from Cinnulin PF® supplementation. Previous research has shown cinnamon extracts can activate glycogen synthase, stimulate glucose uptake, and inhibit glycogen synthase kinase 3β [1-3,16]. Collectively, these effects, combined with the slight increase in total energy intake, may have led to the observed increases in lean mass in the Cinnulin PF® group. Cinnamon also has antioxidant effects [17-19] that may favorably impact hormone signaling via adipokine cross-talk. For example, Chrysohoou et al. [19] recently reported an inverse relationship between body fat and antioxidant capacity, even after controlling for smoking, physical activity patterns, dietary habits, blood pressure, glucose levels, and lipid concentrations. It is therefore possible that the observed improvements in FBG, as well as plasma antioxidant status (e.g., FRAP, MDA, and SH – manuscript in preparation) are responsible, at least in part, for cinnamon's beneficial effects on body composition and features of the metabolic syndrome.

Summary

In many parts of the civilized world, physical inactivity and poor dietary habits are increasing rates of prediabetes, obesity, and the development of cardiovascular diseases. Current estimates are that the metabolic syndrome affects over 26% of adults, or over 50 million Americans, and that it increases the risk for atherosclerotic cardiovascular disease up to 3-fold, and the risk for type 2 diabetes up to 5-fold [9]. Based on the results of this study, Cinnulin PF® may play a beneficial role in ameliorating the effects of several chronic diseases of modernization. Although speculative, because subjects in this study were not required to follow any specific diet or exercise program, it is possible that combining Cinnulin PF® with a nutrient-dense diet and/or a regular exercise program may lead to even greater health benefits. These preliminary data support the efficacy of Cinnulin PF® supplementation on reducing FBG in prediabetic men and women. It also appears that this particular water-soluble cinnamon extract, standardized for polyphenolic type-A polymers, can favorably alter systolic blood pressure and body composition when consumed for at least 12-weeks. Finally, although it is acknowledged that we used a relatively small, homogeneous sample of subjects, Cinnulin PF® appears to be reasonably safe at the dose and duration studied. Larger, longer-term multi-center studies are necessary to confirm our findings, determine the mechanism(s) underpinning the observed physiological effects, and delineate any dose-response effects from this naturally-occurring spice.