Accesso libero

The Association Between Serum Carnitine Level, Glucose Regulation, Body Fat and Nutrient Intake in Diabetic Individuals

INFORMAZIONI SU QUESTO ARTICOLO

Cita

Introduction

Carnitine (β-hydroxy-γ-trimethyl amino butyrate) is a vitamin-like molecule and is responsible for transporting long-chain fatty acids (LCFA) to the mitochondrial matrix. (1, 2). In addition, carnitine facilitates the metabolism of aerobic carbohydrates by acting on the enzymes involved in metabolism and increases the rate of oxidative phosphorylation (3, 4). Affects glucose tolerance and insulin sensitivity by providing mitochondrial oxidation of long-chain acyl CoAs. (5).

Carnitine plays an important role in the control of diabetes due to its effect on energy metabolism (6). The increase in the use of carnitine, as well as the decrease in renal synthesis and reabsorption, cause a decrease in the carnitine level of the diabetic individual (7). A study comparing 50 diabetic and 35 healthy individuals found that the levels of carnitine (52.77 ± 12.34 μmol / L) in diabetic patients were significantly lower than those of the healthy individual (79.18 ± 10.59 μmol / L) (p<0.05) (8). In a meta-analysis study, it was shown that serum carnitine levels were lower in diabetic individuals than in healthy individuals (9).

Owing to obesity and insulin resistance, increases in body fat mass have often been observed in diabetic individuals (10). In studies to reduce body fat accumulation, the hypothesis has been created that carnitine by increasing fatty acid oxidation prevents fat accumulation in tissues (1, 12). Studies have also shown that the substitution of carnitine deficiency in diabetic patients increases insulin sensitivity and glucose utilization in peripheral tissues and decreases insulin resistance (8, 13, 14). In addition, it has been stated that with carnitine supplementation, blood lipid profile of diabetic individuals may improve. (15, 16).

Studies related to the effect of carnitine deficiency on diabetes markers and complications are more focused on carnitine supplementation in the diabetic individuals and there is a limited number of studies in the literature regarding the assessment of serum carnitine level (9, 16, 17). Therefore, in this study, it is aimed to determine the relationship between serum carnitine level and insulin resistance, lipid profile and nutritional status and to contribute to the literature in this regard.

Materials and Methods

This study was conducted with a total of 64 individuals, aged 30-55 years, with 32 healthy and 32 type-2 diabetic patients. Care was taken to ensure a homogeneous distribution between groups according to age, gender, and body mass index (BMI). The patient group is selected from among persons admitted to Gazi University Medical Faculty, Diabetes and Obesity Polyclinic on a voluntary basis. The healthy group was selected from among those who were admitted to Gazi University, Faculty of Health Sciences, Department of Nutrition and Dietetics and complied with the study protocol. Criteria for inclusion into the study for healthy individuals are the absence of any chronic illness, the absence of hormone therapy, and the absence of vitamin-mineral supplements. Individuals previously diagnosed with Type-2 diabetes by a doctor in the Department of Endocrinology, Faculty of Medicine, Gazi University, constituted the patient group. Patients who did not have any other diagnosed chronic diseases (hypertension, cardiovascular diseases, kidney diseases, etc.) and did not have any drugs, hormones or vitamins, minerals, plant supplements they regularly used other than insulin or oral anti-diabetic (OAD) were included the study.

From Gazi University Faculty of Medicine Clinical Investigation Ethics Board has approved 25901600/588 decision number and dated November 23, 2015, for the execution of the study.

In order to determine the energy and nutrient intake of individuals on a daily diet, 24-hour food consumption records were recorded by the researcher retrospectively. The average energy and nutrients of the consumed foods were calculated using the Nutrition Information System (BeBis) program (18). Tanita BC418 body analyzer was used with the BIA method in determining the weight and body fat of the individuals. With the body weight/height2 (kg / m2) equation, was calculated BMI of individuals, using the body weight and height measurements.

In blood samples taken after an 8-hour fasting from individuals showed that serum carnitine, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), very low-density lipoprotein cholesterol (VLDL-C), triglyceride, blood glucose and insulin value were analyzed. For the assessment of insulin sensitivity homeostasis model assessment for insulin resistance (HOMA-IR) account is made using “fasting blood glucose (mmol/L) x fasting ınsulin (μU/mL)/22.5” (19). Analysis of serum carnitine and other biochemical measurements was performed by a private biochemistry laboratory.

Independent sample t-test was used to compare two independent groups in the data with normal distribution and were shown with a mean ( X), standard deviation (SD). “Mann-Whitney U” test was used for measurement values that are not normally distributed and were shown with median, interquartile range (IQR). Statistically significant values were accepted as p <0.05.

Results

Findings from the study are given below and the general characteristics of the individuals are shown in Table 1. The median value of ages of the male participating in the study is 49.5 years in the patient group and 50 years in the healthy group. In females, in the patient is 46.5 years in the group and 40.5 years in the healthy group. There is not observed the statistically significant difference between the ages of patient and healthy groups according to gender (p>0,05). Body mass index averages were determined 27.9 kg / m2 in both groups in males and 34.8 kg / m2 in the patient group 34.2 kg / m2 in the healthy group in females (p>0,05). Since the individuals in the healthy group at the start of the study were matched to the BMI values in the patient group, no statistically difference was found in the BMI means in both genders (Table 1).

Individuals' age, BMI, and some anthropometric measurements

Male Female
Patients (n:16) Healthy (n:16) Patients (n:16) Healthy (n:16)
X̅ ±SD Med±IQR X̅ ±SD Med±IQR X̅ ±SD Med±IQR X̅ ±SD Med±IQR
Age (yıl) 47,4±8,06 49,5±9,25 47,9±7,37 50,0±6,25 44,2±6,65 46,5±4,50 41,3±7,45 40,5±11,75
Z=-0,076 p=0,940 Z=-1,304 p=0,192
Body (kg) weight 79,1±13,84 78,4±17,13 84,3±11,82 82,9±16,20 83,5±11,84 79,5±17,13 85,5±15,24 85,2±19,53
t=-1,140 p=0,263 t=-0,414 p=0,681
BMI (kg/m2) 27,9±4,25 27,4±6,04 27,9±3,70 27,4±4,46 34,8±5,21 33,9±8,18 34,0±5,96 33,1±7,94
t=-0,010 p=0,992 t=0,389 p=0,700
Body centage fat per- (%) 25,9±5,35 25,3±10,53 27,7±6,58 27,3±6,65 41,9±4,04 41,7±7,80 42,4±5,82 43,0±7,28
t=-0,834 p=0,411 t=-0,275 p=0,785
Body (fat kg) mass 21,1±7,69 19,3±12,92 23,9±8,55 23,5±8,47 35,4±8,19 32,87±14,57 37,0±11,23 36,91±10,62
t=-0,951 p=0,349 t=-0,465 p=0,646

Independent sample t-test was used to compare two independent groups in the data with normal distribution, and the mean and standard deviation were used. The "Mann-Whitney U" test was used to compare two independent groups in the data with no normal distribution and is shown by the median ± IQR.

When the treatment modalities used by diabetic individuals were examined, it was determined that approximately half of the individuals in the patient group were using OAD alone (not shown in the table).

The individual’s serum carnitine, biochemical parameters, and HOMA-IR values are given in Table 2. Serum carnitine level has been found 50.6 nmol / mL in the patient group and 59.5 nmol / mL in the healthy group in males and there have been detected a statistically significant difference in terms of serum carnitine levels according to the disease of males (p<0,05). Serum carnitine levels are 59.7 nmol / mL in the patient group, 62.3 nmol / mL in the healthy group in female. Although the serum carnitine level of the patient group was lower in female, the difference between them and the healthy group was not significant. (p>0,05). Serum glucose, insulin, VLDL cholesterol, HDL cholesterol, triglyceride levels and HOMA-IR values were found to be higher in individuals in the patient group compared to the healthy group (p<0,05). In addition to, the serum total cholesterol level in males in the patient group is higher than the healthy group (p<0,05).

Individuals' serum carnitine, biochemical parameters and HOMA-IR values

Male Female
Patients (n:16) Healthy (n:16) Patients (n:16) Healthy (n:16)
Parameters X̅ ±SD Med±IQR X̅ ±SD Med±IQR X̅ ±SD Med±IQR X̅ ±SD Med±IQR
Serum glucose (mg/dL) 143,2±48,30 125,5±48,25 85,6±10,97 82,5±16,25 162,3±71,19 137,5±88,50 84,1±7,55 83,5±12,00
Z=-4,523 p=0,000** Z=-4,638 p=0,000**
Serum insulin (mU/ L) 14,6±8,21 13,7±13,40 8,4±3,87 8,2±5,28 18,2±9,04 16,7±12,91 6,7±2,67 5,9±3,23
t=2,734 p=0,012* Z=-4,372 p=0,000**
Serum total cholesterol (mg/dL) 193,8±24,67 193,1±45,08 152,7±31,51 154,5±48,00 191,2±66,55 186,6±74,18 155,1±25,60 156,0±30,75
t=4,104 p=0,000** t=2,028 p=0,057
Serum LDL-dL) C (mg/ 119,6±20,21 117,8±29,25 109,8±25,26 109,5±39,75 121,7±42,46 116,2±55,55 106,9±17,87 105,0±20,75
t=1,210 p=0,236 t=1,285 p=0,213
Serum HDL-C (mg/ dL) 40,0±7,33 39,6±10,60 32,2±6,91 31,9±11,85 48,1±12,28 47,4±18,90 38,4±8,23 37,2±10,33
t=3,116 p=0,004** t=2,620 p=0,014*
Serum VLDL-C (mg/ dL) 34,2±10,78 33,1±14,45 19,4±6,53 20,0±9,00 36,9±19,46 33,1±38,61 18,2±10,34 14,0±7,25
t=4,691 p=0,000** Z=-3,209 p=0,001**
Serum triglycerides (mg/ dL) 171,0±53,88 165,9±72,15 96,7±33,07 99,1±46,43 193,1±117,87 165,5±193,05 91,2±51,83 70,8±36,08
t=4,701 p=0,000** Z=-3,128 p=0,002**
HOMA-IR 5,2±3,33 4,2±5,32 1,8±0,91 1,7±1,53 7,0±3,62 6,7±6,83 1,4±0,66 1,2±0,76
t=3,911 p=0,001** Z=-4,711 p=0,000**
Serum carnitine (nmol/ mL) 51,6±12,08 50,6±20,83 68,1±26,57 59,5±17,25 56,9±10,91+ 59,7±12,65+ 66,7±23,23 62,3±15,43
Z=-2,450 p=0,014* Z=-1,319 p=0,187

*p<0,05, **p<0,01. Independent sample t-test was used to compare two independent groups in the data with normal distribution, and the mean and standard deviation were used. The "Mann-Whitney U" test was used to compare two independent groups in the data with no normal distribution and is shown by the median ± IQR. LDL-C: Low-density lipoprotein cholesterol, HDL-C: High-density lipoprotein cholesterol, VLDL- C: Very low-density lipoprotein cholesterol, HOMA-IR: homeostasis model assessment of insulin resistance.

+: one of the blood samples is not included in the analysis because it is hemolysis.

The amount of energy and nutrients taken by individuals in the daily diet is given in Table 3. According to the table, when individuals are compared according to the disease, significant differences were observed in some parameters in terms of food consumption (p<0,05). Energy, carbohydrate, fiber, and protein intake were found to be significantly lower in individuals in the patient group than in the healthy group (p<0,05). However, there wasn’t observed significant differences between the groups in the intakes of animal protein (g), total fat (g), poly-unsaturated fatty acids (PUFA), omega-3 (n-3) and omega-6 (p>0,05).

The amount of daily dietary energy and nutrients intake

Male Female
Patients (n:16) Healthy (n:16) Patients (n:16) Healthy (n:16)
Energy nutrients and X̅ ±SD Med ±IQR X̅ ±SD Med±IQR X̅ ±SD Med±IQR X̅ ±SD Med±IQR
Energy (kkal) 1957 ±455,25 1843±742,11 2832±524,52 2815±584,60 1563±395,75 1557±367,31 2341±623,61 2246±924,82
t=-5,040 p=0,000** Z=-3,731 p=0,000**
Carbohydrate (g) 221,8±59,63 207,4±66,05 394,8±96,21 387,8±53,82 155,6±44,48 149,0±45,48 328,5±104,81 346,3±144,56
t=-6,113 p=0,000** Z=-4,221 p=0,000**
Carbohydrate (%) 46,7±8,43 49,0±15,75 56,7±5,70 57,0±8,50 40,8±3,89 40,0±4,75 56,8±8,00 60,0±10,75
t=-3,932 p=0,001** t=-7,195 p=0,000**
Fiber (g) 26,9±10,97 26,7±12,74 36,2±11,89 34,4±12,39 19,3±6,37 17,9±11,86 29,3±7,84 29,6±8,38
t=-2,308 p=0,028* t=-3,986 p=0,000**
Protein (g) 63,8±19,20 57,5±19,21 91,0±23,98 94,7±36,79 49,5±19,63 46,3±16,66 62,9±18,57 58,9±30,28
t=-3,539 p=0,001** Z=-2,337 p=0,019*
Animal (g) protein 30,5±14,20 28,6±15,89 36,3±16,58 30,1±27,82 24,3±18,50 20,5±16,65 17,3±11,36 14,5±10,29
Z=-0,942 p=0,346 Z=-1,357 p=0,175
Total fat (g) 88,4±30,40 82,3±50,65 94,3±16,79 95,3±28,49 80,8±21,24 82,9±34,84 83,5±28,09 79,4±38,36
t=-0,686 p=0,500 t=-0,316 p=0,754
PUFA (g) 20,7±12,20 17,2±20,04 17,3±6,70 16,7±12,40 20,3±8,96 20,5±15,52 15,5±14,99 15,5±18,90
t=0,952 p=0,350 Z=-1,131 p=0,258
n-3 (g) 1,8±1,02 1,5±1,75 2,2±0,95 1,9±1,37 1,6±1,16 1,4±0,97 1,8±1,12 1,1±2,05
Z=-1,357 p=0,175 Z=-0,094 p=0,925
n-6 (g) 18,7±11,69 15,9±18,61 15,1±6,66 13,7±10,70 18,6±8,68 18,9±13,93 16,4±14,40 12,9±18,75
t=1,093 p=0,285 Z=-1,244 p=0,214

*p<0,05, **p<0,01. Independent sample t-test was used to compare two independent groups in the data with normal distribution, and the mean and standard deviation were used. The "Mann-Whitney U" test was used to compare two independent groups in the data with no normal distribution and is shown by the median ± IQR. PUFA: polyunsaturated fatty acids, n-3: omega-3 fatty acids, n-6: omega-6 fatty acids

The relationship between serum carnitine levels of individuals and some parameters is given in Table 4. There was observed negative relationship between serum carnitine levels and fiber intake in female in the healthy group (p<0,05; r=-0,503) There is a positive directional relationship between serum carnitine levels of the males in the healthy group and PUFA (p<0,05; r=0,691), as the intake of PUFA increases, the level of serum carnitine increases. Similarly, there has been found a positive relationship between the serum carnitine levels of the males in the healthy group and the intake of n-6 fatty acids (p<0,05; r=0,706).

Relationship between serum carnitine levels and some parameters in individuals

Male Female
Patients (n:16) Healthy (n:16) Patients (n:16) Healthy (n:16)
Parameters r p r p r p r p
Dietary intake energy (kkal) -0,406 0,119 -0,144 0,594 0,021 0,940 -0,291 0,274
Dietary carbohydrate intake (g) -0,496 0,051 -0,138 0,610 0,013 0,961 -0,338 0,200
Carbohydrate percentage (%) -0,121 0,657 -0,102 0,707 0,069 0,800 0,112 0,679
Dietary intake fiber (g) -0,411 0,114 0,144 0,594 0,451 0,079 -0,503 0,047*
Dietary intake protein (g) 0,075 0,782 -0,121 0,656 0,175 0,120 -0,374 0,154
Dietary animal protein intake (g) 0,113 0,676 -0,018 0,948 -0,037 0,892 0,006 0,983
Dietary intake total (g) fat -0,267 0,317 0,026 0,922 0,115 0,670 -0,435 0,092
Dietary intake PUFA (g) -0,187 0,489 0,691 0,003** -0,389 0,137 -0,044 0,871
Dietary intake n-(g) 3 -0,006 0,983 0,341 0,196 0,034 0,901 -0,242 0,367
Dietary intake n-6 (g) -0,385 0,141 0,706 0,002** -0,262 0,327 -0,274 0,305
Serum (mg/glucose dL) -0,121 0,656 -0,345 0,191 0,063 0,816 -0,344 0,192
Serum (mU/insulin L) -0,161 0,553 -0,144 0,594 -0,080 0,770 -0,374 0,154
HOMA-IR -0,201 0,455 -0,174 0,520 0,005 0,985 -0,450 0,080
Body (kg) weight 0,110 0,686 -0,115 0,672 -0,205 0,446 -0,676 0,004**
BMI (kg/m2) 0,068 0,801 -0,418 0,107 -0,015 0,956 -0,632 0,009**
Body centage fat per- (%) -0,131 0,628 -0,032 0,905 -0,154 0,570 -0,424 0,102
Body (fat kg) mass -0,005 0,984 -0,094 0,729 -0,211 0,432 -0,526 0,036*

*p<0,05, **p<0,01. Quantitative evaluation of the relationship of two data in the normal distribution with "Pearson", the data are not normally distributed "Spearman" is used in the correlation coefficient. PUFA: polyunsaturated fatty acids, n-3: omega-3 fatty acids, n-6: omega-6 fatty acids, HOMA-IR: homeostasis model assessment of insülin resistance, BMI: body mass index.

It has not been found a significant relationship between serum glucose, insulin levels and HOMA-IR value with serum carnitine levels in both genders according to disease (p>0,05).

The negative relationship was found between serum carnitine levels and body weight and BMI of female in the healthy group (p<0,05; r=-0,676 ve p<0,05; r=-0,632 respectively). As body weight and BMI increase, serum carnitine level decreases. There has been observed also a negative relationship between serum carnitine levels and body fat mass (kg) in female in the healthy group (p<0,05; r=0,036). As the body fat mass increases, the level of serum carnitine decreases.

Discussion

Carnitine is a vitamin-like compound that allows the passage of LCFA through the mitochondrial membrane for β-oxidation (1, 2). In addition, carnitine affects insulin sensitivity and glucose utilization in tissues (1, 5). It has been reported that carnitine levels are lower in diabetic patients than in healthy individuals due to increased carnitine use in the body and decreased renal reabsorption in diabetic individuals (8, 9). In type 2 diabetes, circulating fatty acid levels are higher in the postprandial state (20). Since the main task of carnitine is to form esters with organic acids, it can reduce the accumulated acyl CoA derivatives and / or metabolites by transporting them from mitochondria (21). This is thought to cause a decrease in serum carnitine levels in individuals with diabetes.

In a study conducted for this purpose: diabetic rats were examined after 30 days, it has been observed the plasma carnitine level decreased and urine carnitine excretion increased (7). In another study, 20 diabetic patients and 18 healthy subjects were compared and plasma carnitine levels were determined lower in diabetic individuals than healthy individuals (21 ± 2 μmol / L and 35 ± 2 μmol / L, respectively) (p<0.005) (2). Similarly, a study comparing 50 diabetic patients and 35 healthy individuals have been identified that carnitine levels (52.77 ± 12.34 μmol / L) in diabetic individuals were lower than healthy individuals (79.18 ± 10.59 μmol / L) (p<0.05) (8). In this study, serum carnitine levels were found to be statistically lower in patient group (50,6±20,85 nmol/mL) in males than healthy group (59,5±17,25 nmol/mL) (p<0,05). But; although the serum carnitine level (59.7 ± 12.65 nmol / mL) of the patient group in female was lower than that of the healthy group (62.3 ± 15.43 nmol / mL), a significant difference wasn’t observed (p>0,05) (Table 2). The data obtained from this study are similar to other studies in the literature. Total protein intake (g) was generally higher in the healthy group compared to the patient group (p <0.05). However, animal protein intake (g) is slightly lower in healthy female (Table 3). This situation leads to a reduction of with dietary consumed carnitine sources. Since the serum carnitine level also depends on the amount of carnitine taken with the diet, it is thought that serum carnitine levels in the healthy group of female are affected by food consumption. In addition, it was thought that body composition in women may also have affected serum carnitine levels.

Paying attention to energy intake in diabetic individuals, it is recommended to reduce energy intake, especially in people who are desired to lose body weigh (23). Also; the species of carbohydrate and fat taken with the carbohydrate and fat content of the diet is of importance in terms of ensuring of metabolic control and body weight control in diabetes (24). In a review made on this issue, it has been reported that low glycemic index and high fiber-containing foods regulate glucose metabolism in diabetic individuals (25). But; if the daily total fat intake is high, is causing the fasting insulin concentration is increased (26). In healthy individuals, the recommended amount of consumption of PUFA has reduced the risk of diabetes (27). In a study comparing the food consumption of diabetic and healthy individuals: no difference was found between the groups in terms of dietary energy, carbohydrate and fiber intake, while the percentage of energy from fat was found to be higher in diabetic individuals. (p<0,05) (28). In this study, the energy intake in the patient group was found to be higher than in the healthy group (p<0,05). Significant differences were found between the patient and the healthy group in the amount of carbohydrate, fiber and protein consumed in the diet (p<0,05) (Table 3). It is thought that the lower amount of energy and macronutrients in the patient group is due to the individuals consuming the diabetic diet.

Dietary sources of carnitine are interaction with nutrition due to the role of various nutrients in their synthesis and their role in metabolism. Considering that the level of serum carnitine may change depending on the nutrient consumption of the individual, in this study has been assessed the relationship between serum carnitine level and with diet energy and nutrient intakes. A positive correlation was observed between serum carnitine levels and PUFA and n-6 intake of healthy male (p<0,05; r=0,691 and p<0,05; r=0,706 respectively). In healthy males, serum carnitine level is increasing due to PUFA and n-6 intake (Table 4). This of the result: that of PUFA increase of fatty acid oxidation in the liver and the activity of carnitine palmitoyltransferase-1 enzyme is considered originate from the providing regulation peroxisome proliferator-activated receptor alpha (PPAR-α) (29). In female in the healthy group, a negative relationship was observed between serum carnitine levels and fiber intake. (p <0,05, r = -0,503) (Table 5). Fiber sources in the diet are also a source of carbohydrates and protein intake decreases as carbohydrate intake increases. This suggests that the increase of fiber intake may cause a decrease in carnitine intake.

Since carnitine is involved in the metabolism of fatty acids and affects enzyme activity of pyruvate dehydrogenase; it is thought to be an interaction between with carnitine some biochemical parameters and HOMA-IR (30). In a study conducted with intravenous carnitine supplementation, insulin sensitivity was increased in diabetic individuals with insulin resistance, and an increase was observed in the use of glucose by tissues in both diabetic and healthy individuals. (p<0,05) (13). In another study conducted in poorly controlled (HbA1c> 8) diabetic patients, orlistat alone or orlistat with 2g / day of L-carnitine were given for one year. At the end of the study: a faster and greater decrease was observed in HbA1c, fasting and postprandial blood glucose, fasting insulin levels and HOMA-IR values in the group supplemented with L-carnitine (p<0,05) (31). However, in another study in which 3 g / day oral L-carnitine supplementation was applied for 4 weeks in individuals with type-2 diabetes; It was noted that carnitine supplementation did not provide any change in insulin sensitivity, and the effect of longer-term use should be examined. It was stated that this situation may be caused by the individuals’ diets and physical activities not being the same. (17). In a study conducted in healthy individuals: although an increase was achieved in the oxidation of LCFA by giving 1 g L-carnitine support 3 times a day for 10 days (p <0.01), no change was observed in serum glucose and HbA1c levels (32). Studies have generally focused on carnitine supplementation (17, 31, 32); however, the relationship between fasting blood glucose, insulin and HOMA-IR value and serum carnitine levels has been investigated in this study without carnitine supplementation. In this study, there was no significant relationship between fasting blood glucose, insulin and HOMA-IR value and serum carnitine levels according to disease in both genders (p> 0,05) (Table 4). The relationship between biochemical parameters of individuals and with HOMA-IR value serum carnitine level can be examined in future studies by increasing the number of sample size.

Serum carnitine level; since it is affected by obesity and chronic disease, it is thought that there may be a relationship between the anthropometric measurements of the individuals and the serum carnitine level. In a study, when the high-fat diet and L-carnitine supplement added to the diet were compared in obese mice, a significant reduction in body weight, energy intake and food intake was noted in the L-carnitine supplemented group (p<0,05). Also, abdominal fat was found to be more in the high-fat diet compared to the carnitine supplemented group (3). In another study, plasma L-carnitine levels were found to be low in diabetic individuals. Moreover, a negative correlation was observed between L-carnitine level and BMI, triglyceride and fasting blood glucose (34). In this study, there has not been observed a significant correlation between serum carnitine levels and anthropometric measurements according to disease in males and females (p> 0,05). Only female in healthy group had been observed a negative correlation between serum carnitine levels and body weight (p<0,05; r=-0,676), BMI (p<0,05; r=0,632;), and body fat mass (kg) (p<0,05; r=-0,526). According to the results obtained; in healthy female: as the body weight, BMI, and body fat mass increase, the serum carnitine level decreases (Table 4). This situation is an indication that the serum carnitine level may be fallen due to obesity. In a meta-analysis study, the effect of carnitine supplementation on body composition was examined. It was concluded that carnitine supplementation provides a reduction in BMI, body weight and body fat mass. It is suggested that the relationship between carnitine and obesity is due to the effect of carnitine on blood glucose control and lipid lowering activities (35). Since there is not enought study evaluating the relationship between anthropometric measurements of individuals and serum carnitine levels, it is thought that this result will guide future studies.

As a result, the serum carnitine level changes due to the changing metabolic status in individuals with diabetes. There is also a relationship between individuals’ nutrient intake and body composition and carnitine level. It is thought that this study will contribute to the literature in terms of examining the relationship between food consumption and carnitine level in patients with type 2 diabetes and healthy controls.

eISSN:
2564-615X
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Life Sciences, Genetics, Biotechnology, Bioinformatics, other