|Year : 2019 | Volume
| Issue : 5 | Page : 217-225
Association between adiposity and fasting serum levels of appetite-regulating peptides: Leptin, neuropeptide Y, desacyl ghrelin, peptide YY(1-36), obestatin, cocaine and amphetamine-regulated transcript, and agouti-related protein in nonobese participants
Anna Lucka, Adam Wysokiński
Department of Old Age Psychiatry and Psychotic Disorders, Medical University of Lodz, Łódź, Poland
|Date of Submission||05-Apr-2019|
|Date of Decision||23-Aug-2019|
|Date of Acceptance||23-Sep-2019|
|Date of Web Publication||24-Oct-2019|
Dr. Adam Wysokiński
Department of Old Age Psychiatry and Psychotic Disorders, Medical University of Lodz, Czechosłowacka 8/10, 92-216 Łódź
Source of Support: None, Conflict of Interest: None
The objective of this study was to evaluate the association between adiposity parameters and fasting serum levels of appetite-regulating peptides: leptin, neuropeptide Y (NPY), desacyl ghrelin, peptide YY(1-36), obestatin, cocaine- and amphetamine-regulated transcript (CART), and agouti-related protein in 30 healthy, non-obese subjects. Thirty European Caucasian adult participants were included in the study (17 men and 13 women). Body composition (body fat and lean body mass) was determined using bioelectrical impedance analysis. Concentrations of peptides in serum were assessed using the enzyme-linked immunosorbent assay. Women had higher level of leptin (P < 0.001), with no other differences for analyzed peptides. We have found a significant correlation between serum concentrations of CART and NPY (P < 0.001). Fasting leptin level was associated with age (P = 0.002), waist circumference (P < 0.001), and lean body mass (P < 0.001). Levels of ghrelin were lower in participants with dyslipidemia (P = 0.009). Levels of obestatin (P = 0.008) and leptin (P = 0.02) were higher in participants with insulin resistance. Associations between body fat and appetite-regulating peptides are more complex than simple feedback loops. Leptin is probably the first signal in the pathway that regulates body fat content, as of all analyzed peptides leptin was the only one that was associated with body composition or anthropometric measurements.
Keywords: Adiposity, appetite, body composition
|How to cite this article:|
Lucka A, Wysokiński A. Association between adiposity and fasting serum levels of appetite-regulating peptides: Leptin, neuropeptide Y, desacyl ghrelin, peptide YY(1-36), obestatin, cocaine and amphetamine-regulated transcript, and agouti-related protein in nonobese participants. Chin J Physiol 2019;62:217-25
|How to cite this URL:|
Lucka A, Wysokiński A. Association between adiposity and fasting serum levels of appetite-regulating peptides: Leptin, neuropeptide Y, desacyl ghrelin, peptide YY(1-36), obestatin, cocaine and amphetamine-regulated transcript, and agouti-related protein in nonobese participants. Chin J Physiol [serial online] 2019 [cited 2022 Aug 17];62:217-25. Available from: https://www.cjphysiology.org/text.asp?2019/62/5/217/269832
| Introduction|| |
Regulation of body mass is a complex and multifactorial phenomenon with menu structures regulating energy homeostasis involved. Hypothalamic nuclei, particularly the arcuate nucleus (ARC), play a key role in the regulation of appetite. ARC key role in the regulation of energy homeostasis results from anatomical properties of this nucleus: it belongs to the medial hypothalamic nuclei and is located in the vicinity of the third ventricle (its ventral part), and even more importantly, close to the highly vascularized median eminence. Moreover, ARC is partially devoid of the blood–brain barrier, and hence that nutrients circulating in peripheral blood and regulatory factors have direct access to this nucleus. In ARC, there are two different and physiologically opposing types of neurons: orexigenic neurons that synthesize neuropeptide Y (NPY)/agouti-related protein (AgRP), and anorexigenic neurons that synthesize pro-opiomelanocortin (POMC)/cocaine- and amphetamine-regulated transcript (CART). These groups of neurons form a primary regulator of hunger and satiety.
Leptin is a hormone that regulates energy balance by inhibiting hunger in the negative feedback mechanism., Leptin is produced by white adipose tissue. The greater the amount of body fat, the higher the level of leptin. There were no differences for men and women in basal plasma leptin concentration. The mechanism of leptin action is to inhibit energy consumption and reduce food intake. This is done by the activation of anorexogenic POMC/CART neurons and the inhibition of NPY/AgRP orexigenic neurons. In addition, leptin inhibits expression of orexins, increases the sensitivity of glucoresponsive neuron of the hypothalamus, regulates mRNA expression CART in the ARC, inhibits noradrenergic neurotransmission in the periventricular nucleus, reduces secretion of endogenous cannabinoids in the hypothalamus, and reduces reward associated with food intake.
Ghrelin was discovered by Kojima et al. in 1999 and has been identified as a “hunger hormone.” It consists of 28 amino acids. Ghrelin is produced mainly by P/D1 cells that line the fundus of the stomach and pancreatic epsilon cells. Three types of ghrelin have been discovered: (1) octanoylated form of ghrelin (acyl ghrelin) with orexigenic activity, (2) nonoctanoylated form (desacyl ghrelin), which is anorexigenic, and (3) obestatin. The active form of ghrelin is acyl ghrelin, which can penetrate the blood–brain barrier and bind to the central receptor (growth hormone secretagogue receptor). Other forms of ghrelin do not have such functions, but they have their own effects. It has been found that desacyl ghrelin reduces fat mass, increases insulin resistance (IR), through trophic and protective effects on β-cells of the pancreas. The research results show that desacyl ghrelin can inhibit ghrelin levels. This suggests that it could be helpful in future treatment of diabetes and obesity, where inhibiting the effects of ghrelin is a beneficial result. Previous studies showed that ghrelin levels are positively related with testosterone levels in men and estrogen levels in women – ghrelin levels increased both in hypogonadal men treated with testosterone and postmenopausal women treated with estrogens. However, information have not yet been linked to the control of food intake.
Cocaine- and amphetamine-regulated transcript
CART is an endogenous inhibitor of food intake. In animals, the effect of CART results in a behavior similar to that of cocaine and amphetamine. However, when it is co-administered with cocaine, it blocks its effects. According to the studies, CART, and especially CART(55-102) have an important function in the regulation of energy homeostasis. Research on intraventricular CART administration confirmed its effect: inhibition of response to NPY and decreased appetite. In addition, it has been described that the genetic variability of the CART gene may be important in the distribution of fat.
NPY is found both in the central and peripheral nervous system. It is a 36-amino acid peptide that in the central nervous system is produced in the ARC by NPY/AgRP neurons. These neurons cause an increase in NPY signaling and a reduction in melanocortin signaling by the release of AgRP. In this way, they stimulate food intake. During the fast, NPY biosynthesis increases, which is why it plays an important role in obesity. There are no differences in NPY levels between men and women. NPY/AgRP neurons are affected by leptin and insulin, which are secreted in proportion to the body's fat content and inhibit neuronal activity. Insulin and leptin inhibit anabolism and stimulate catabolic pathways in the hypothalamus. Inverse effect has ghrelin, which secreted into the bloodstream activates NPY/AgRP neurons and causes increased food intake. The studies described the following effects of NPY: increased food intake and adipogenesis leading to abdominal obesity, reduced physical activity, reduced heat production in brown adipose tissue, increased energy stored as fat due to increased acetyl coenzyme A carboxylase activity and acid synthesis fatty acids and triglycerides (TGA) in white adipose tissue and the liver. It has also been proven that NPY can increase the level of insulin in the blood.
AgRP is a neuropeptide, made up of 132 amino acids, that is produced in the brain by hypothalamic AgRP/NPY neurons. These neurons stimulate food intake by releasing both NPY and AgRP. AgRP blocks melanocortin receptors (MC3-R and MC4-R), which are responsible for the control of metabolism and appetite. AgRP increases appetite and reduces metabolism and energy expenditure, resulting in weight gain. AgRP has significantly longer orexigenic properties than NPY. It was found that increasing food intake after a single central administration of AgRP is sustained for up to a week  - in comparison with NPY, after which it is sustained for a maximum of hours.
Peptide YY (PYY), otherwise known as peptide tyrosine-tyrosine, is secreted in response to feeding by ileum and colon cells. It consists of 36 amino acids. Two major forms of PYY were found: PYY(1-36) and PYY(3-36). Individual forms have separate effects. PYY(1-36) has orexigenic activity by binding to all Y receptors. In contrast, PYY(3-36) has anorexigenic properties by high affinity for the Y2-receptor subtype and some affinity for the Y1- and Y5-receptor subtypes. PYY secretion is regulated in proportion to the calories consumed by food (mainly high-fat meals). The secretion of PYY is also stimulated by gastric acid, bile salts, cholecystokinin, and insulin-like growth factor 1. The glucagon-like peptide-1 is inhibiting PYY. PYY is called “ileal brake” because it inhibits ghrelin secretion, delays gastric emptying, and suppresses the secretory function of the stomach and pancreas. PYY also works centrally by inhibiting the expression of NPY and AgRP mRNA in ARC neurons by binding to presynaptic G protein-coupled Y2R auto-receptor. This is possible due to significant homology with NPY. This action, by eliminating the inhibitory effect of NPY/AgRP neurons, results in increased activity of POMC/CART neurons. However, it has not been discovered whether PYY has a direct effect on POMC/CART neurons.
Obestatin was originally identified as an anorexigenic peptide, having opposite action to ghrelin on appetite and energy balance, but its effect on food intake is still controversial since the majority of studies did not confirm its anorexigenic action. Very little is known about the psychological role of obestatin in humans, also its receptor remains unknown. Its anorexigenic properties may result from decreased food intake, slowed gastric emptying, and jejunal motility, although these actions were not confirmed by some authors., In obese people, plasma obestatin is low. Nakahara et al. found that it correlates negatively with body mass index (BMI), leptin, insulin, glucose, and homeostasis model assessment IR (HOMA-IR). One very interesting action of obestatin is its role in the pathogenesis of diabetes.
Recent studies show that there are numerous and complex interactions between appetite-regulating peptides. Furthermore, the secretion of these peptides is regulated by the amount of body fat. Therefore, the objective of this study was to evaluate the associations between various adiposity parameters (body composition, anthropometric parameters, and laboratory parameters) and fasting serum levels of leptin, NPY, desacyl ghrelin, PYY(1-36), obestatin, CART and AgRP in healthy, non-obese participants. Our study hypothesis is that since leptin is directly regulated by the adipose tissue, adiposity will mostly affect leptin levels, which in turn may regulate other peptides, which in turn may be intercorrelated. Determining the relationship between peptide levels and body composition can help counteract the phenomenon of obesity, which is one of the most significant challenges in modern medicine. By studying healthy and nonobese participant, in future we can compare the results with those of obese participants and by analyzing differences we may gain better understanding on this problem and determine more appropriate methods of its treatment.
| Materials and Methods|| |
Thirty European Caucasian adult lean (non-obese) participants were included in the study (17 men and 13 women). The healthy volunteers had neither self-reported personal or familial psychiatric history nor medication history from semi-structured interview and had normal laboratory findings (blood profile, alanine aminotransferase, aspartate aminotransferase, urea, creatinine, bilirubin, and electrolytes). There were 10 smokers (33.3%) in the study group. Excluded were participants with previously diagnosed diabetes, dyslipidemia, thyroid dysfunctions, hyperprolactinemia, any acute and chronic inflammatory conditions (e.g., pneumonia, rheumatoid arthritis), immunological disorders (e.g., AIDS, allergy), and cancer. The study protocol was approved by the Medical University of Lodz Bioethics Committee (RNN/87/14/KB). All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or National Research Committee and with the Helsinki Declaration, as revised in 2008. Informed consent was obtained from all individual participants included in the study.
Data collection and measurements
Medical histories, demographic information, and current smoking status were collected from the study participants. The blood samples for the chemistry panel were collected between 7 am and 8 am, after ensuring at least 8 h of overnight fasting. The samples were immediately transferred to the central laboratory, where they were analyzed. Glucose, lipids, calcium, and uric acid levels were measured using a Dirui CS-400 analyzer (Dirui, China). Homocysteine chemiluminescence assessments were performed using an Immulite 2000 analyzer (Siemens, Germany), insulin immunochemistry assessments were performed using a Cobas E411 analyzer (Roche Diagnostics, Switzerland), and albumin levels were assessed using a Cobas Integra 800 analyzer (Roche Diagnostics, Switzerland). Concentrations of peptides in serum were assessed using the enzyme-linked immunosorbent assay, with commercial kits manufactured by RayBiotech (USA) and according to the manufacturer's instruction (intra assay coefficient of variation [CV] <10%, inter-assay CV <15% for all kits). Before assays, serum samples were stored at −80°C for up to 6 months.
Body composition (body fat and lean body mass) was determined using bioelectric impedance analysis (BIA), which provides accurate measurements of body fat, lean body mass, and body water. Body composition was measured using Maltron BF-906 Body Fat Analyzer (Maltron, UK), single-frequency bioelectrical impedance analyzer at 50 Hz. Briefly, BIA determines the electrical impedance, or opposition to the flow of an electric current through body tissues, which can then be used to calculate an estimate of total body water, which can be used to estimate fat-free body mass and, by difference with body weight, body fat. Standard operating conditions were observed by a trained operator including preparation of the participant, electrode placement, and operation. The measurement using BIA was taken immediately before anthropometry measurements with participants lying supine, in a rested state. Body fat and lean body mass were expressed as total mass (in kg) and as a percentage of body mass.
Height was measured with a wall-mounted height measure to the nearest 0.5 cm. Weight was measured with a spring balance that was kept on a firm horizontal surface. Participants wore light clothing, stood upright without shoes, and weight was recorded to the nearest 0.5 kg. BMI was calculated as body weight in kilogram divided by the height in meter squared (kg/m 2). Waist and hip circumferences were measured using a nonstretchable fiber measuring tape. Waist-to-hip ratio (WHR) was calculated as waist circumference divided by hip circumference. Fat mass index (FMI) is a better indicator of obesity since it takes body fat into account. FMI was calculated as total body fat in kilogram (measured using BIA method) divided by the height in meter squared (kg/m 2). Obesity was defined using FMI (>6 for men and >9 for women). This index is based on the amount of adipose tissue and compared with WHR or BMI reflects adiposity better.
Impaired fasting glucose was defined as fasting plasma glucose ≥100 mg/dL. Raised TGA level ≥150 mg/dL and/or total cholesterol (TC) ≥200 mg/dL, reduced high-density lipoprotein (HDL) cholesterol level <40 mg/dL for men and <50 mg/dL for women, and/or raised low-density lipoprotein (LDL) cholesterol level ≥135 mg/dL were interpreted as dyslipidemia. Corrected calcium was calculated using the formula: corrected calcium (mg/dL) = measured calcium (mg/dL) + 0.8 (4.0 − serum albumin [g/dL]). IR was estimated from fasting glucose and insulin levels by HOMA-IR, using the formula: HOMA-IR = (fasting plasma glucose [mg/dL] × insulin [mU/L])/405. IR was defined as HOMA-IR > 2.0.
Statistical procedures were performed with STATA 14.2 (StataCorp, College Station, USA) and GraphPad Prism 7.00 (GraphPad Software, La Jolla, California, USA). Simple descriptive statistics (means, standard deviations, 95% confidence intervals) were generated for continuous variables. For discrete variables, number of patients and percentages are given. Normality of distribution was tested with Shapiro–Wilk test. Variables with normal distribution were analyzed using two-tailed t-test; otherwise, Wilcoxon rank-sum test was used. The difference between proportions was analyzed using Fisher's exact test. Associations were tested by Pearson's (for variables with normal distribution) or Spearman's (for other variables) correlation coefficients and adjusted linear regression models. The statistically significant level was set at P < 0.05 (two-sided).
| Results|| |
Detailed demographic and anthropometric data are shown in [Table 1]. As expected, men in the study group had higher body mass, BMI, waist circumference, and (probably as a result of these differences) higher blood pressure. There was no difference in the percentage of smokers (men: 41.2%, women: 23.1%; P = 0.44). FMI-based obesity was found in 15 (50.0%) participants (11 (64.7%) men and 4 (30.8%) women, with no intersex differences). Results of laboratory tests are shown in [Table 2]. In general, laboratory parameters were comparable between men and women. Only exceptions were uric acid (higher in men) and HDL cholesterol (higher in women). Obese participants had higher systolic blood pressure (P = 0.009), lower HDL cholesterol (P = 0.006), and higher amounts of body fat and lean body mass (P < 0.001 and P = 0.03, respectively). [Table 3] shows the results of body composition. Men had higher amount (absolute and relative) of lean body mass, whereas women had higher relative (expressed as the percentage of total body mass) amount of body fat.
Fasting serum levels of leptin, NPY, desacyl ghrelin, PYY(1-36), obestatin, CART, and AgRP are shown in [Table 4]. Compared with men, women had a higher level of leptin (P < 0.001) [Figure 1]. There were no differences for other analyzed appetite-regulating peptides. We have analyzed inter-peptides correlations. Of all peptides, we have found there is a significant correlation between serum concentrations of CART and NPY peptides (r = 0.74, P < 0.001). The correlation between CART and NPY peptides was still significant when obese and non-obese participants were analyzed separately (r = 0.71, P = 0.01 and r = 0.83, P = 0.001, respectively). Moreover, in obese participants, there was another correlation between PYY(1-36) and CART (r = 0.67, P = 0.02), which was not present in nonobese participants. Linear regression analysis (adjusted for age and sex) confirmed the association between CART and NPY [R2 = 0.56, standardized coefficient β =1025.34, P = 0.011, [Figure 2].
|Figure 1: Fasting serum levels of leptin in the study groups. Vertical bars indicate standard errors|
Click here to view
|Figure 2: Regression analysis of the association between fasting cocaine- and amphetamine-regulated transcript and neuropeptide Y serum levels (adjusted for age and sex)|
Click here to view
We have analyzed correlations between levels of appetite-regulating peptides and anthropometric parameters separately in men and women. We have found that such correlations were significant only for leptin (total body fat [kg]: men r = 0.71 P < 0.01, women r = 0.68 P < 0.01; total body fat [%]: men r = 0.72 P < 0.01, women r = 0.64 P < 0.05; lean body mass [%]: men r = −0.72 P < 0.01, women r = −0.64 P < 0.01; weight: women r = 0.71 P < 0.01; BMI: women r = 0.70 P < 0.01; FMI: men r = 0.66 P = 0.004; waist circumference: women r = 0.77 P < 0.01; hip circumference: women r = 0.69 P < 0.01). To analyze these associations, we used stepwise linear regression analysis models. For each peptide, a regression model included age, BMI, FMI, waist circumference, WHR, blood pressure, total body fat, and lean body mass. Of all models, regression model was significant only for leptin (R2 = 0.63, P < 0.001) with associations between leptin and age (β = −0.08, P = 0.002), waist circumference (β = 0.15, P < 0.001), and lean body mass (β = −0.22, P < 0.001). However, when sex was added to this model, it was found that while the model remains significant (R2 = 0.71, P < 0.001), only male sex (β = −4.06, P < 0.001) and waist circumference (β = 0.10, P < 0.001) were significantly associated with leptin level.
There were no differences for leptin, NPY, desacyl ghrelin, PYY(1-36), obestatin, CART, and AgRP concentrations in participants with FMI-defined obesity. Using a nonparametric Kruskal–Wallis one-way analysis of variance, we have found no differences in levels of leptin, NPY, desacyl ghrelin, PYY(1-36), obestatin, CART, and AgRP in participants with normal or above-normal BMI values (>25 kg/m 2). Levels leptin, NPY, desacyl ghrelin, PYY(1-36), obestatin, CART, and AgRP between participants were not different in participants with or without impaired fasting glucose. For dyslipidemia, only levels of ghrelin were different in the presence of this abnormality, with lower concentration in participants with dyslipidemia (218.24 ± 128.007 vs. 383.78 ± 104.46 pg/mL, P = 0.009). However, there were no significant correlations between ghrelin concentration and levels of TGA, TC, LDL or HDL. Levels of obestatin (167.53 ± 20.66 vs. 129.33 ± 35.32, P = 0.008) and leptin (3.38 ± 2.10 vs. 1.77 ± 1.70, P = 0.02) were significantly higher in participants with IR. We have analyzed associations between laboratory parameters (blood lipids, fasting glucose, insulin, uric acid, homocysteine, folic acid, and corrected calcium) and levels of appetite-regulating peptides using linear regression analysis models. For each peptide, a regression model included sex, age, BMI, and waist circumference. Each model was analyzed using stepwise regression analysis, and we found no significant associations.
| Discussion|| |
This is the first study that combines measurements of seven appetite-regulating peptides (leptin, NPY, desacyl ghrelin, PYY(1-36), obestatin, CART and AgRP) and various adiposity parameters (body composition (body fat, lean body mass), anthropometric parameters (BMI, FMI, WHR) and laboratory parameters related to obesity, i.e., TGA, cholesterol, glucose, insulin, homocysteine, uric acid, and calcium).
In our study, women had a higher level of leptin compared with men. In a previous study woman had significantly higher concentrations of leptin, especially in those who were obese. However, in another study, there were no differences for men and women in basal plasma leptin concentration. There were no sex differences for other analyzed appetite-regulating peptides. The previous study showed that women had significantly higher concentrations of desacylated ghrelin, but there was no sex difference in acylated and total ghrelin concentrations. Another study showed that ghrelin levels are positively related to testosterone levels in men and estrogen levels in women – ghrelin levels increased both in hypogonadal men treated with testosterone and postmenopausal women treated with estrogens. However, information have not yet been linked to the control of eating. This shows that the association is not clear and requires furthers studies.
Of all peptides, we have found there is a significant correlation between serum concentrations of CART and NPY peptides. Moreover, in obese participants, there was another correlation between PYY and CART, which was not present in non-obese participants. To analyze the correlations between the levels of appetite-regulating peptides and anthropometric parameters separately in men and women, we have found that such correlations were significant only for leptin. There were no differences for analyzed peptides concentrations in participants with obesity, impaired fasting glucose, levels of TGA, TC, LDL, or HDL. Levels of ghrelin were lower concentration in participants with dyslipidemia. Levels of obestatin and leptin were significantly higher in participants with IR. We found no significant associations between analyzed laboratory parameters and levels of appetite-regulating peptides.
Knowing that appetite-regulating peptides form a complex system with various internal inhibitory or activating interactions, we expected there will be associations between their peripheral concentrations. However, we found only one (although relatively strong) positive association between fasting levels of CART and NPY. Previous studies showed that in rodents CART is expressed in the anorexigenic α-MSH-synthesizing neurons and probably inhibits food intake. However, a recent human study showed that CART is expressed in approximately one-third of orexigenic NPY/AgRP neurons. Therefore, contrary to the rodent, in human, CART may play an orexigenic role. Our finding may support this hypothesis and reflect co-expression of both peptides. A recent study also links a mutation in the CART gene to obesity in humans. Both these peptides (NPY and CART) might become targets for drug development in the area of obesity., Question whether peripheral levels of these peptides reflect their expression and secretion at the brain level remains open (e.g., CART is also expressed in pituitary endocrine cells, adrenomedullary cells, islet somatostatin cells, and in rat antral gastrin cells ). The lack of other associations may also be explained by the same discrepancy for other peptides.
The level of circulating leptin is directly proportional to the size of body fat, while secretion of other peptides is regulated by other mechanisms. In this study, we have found that fasting level of leptin was negatively associated with lean body mass, but found no association with the amount (absolute or relative to body weight) of body fat. Leptin levels were different between men and women (with a higher concentration in women). In general, women (also in our study) have more body fat, and secretion of leptin is directly regulated by the amount of body fat. When the relationship between anthropometric parameters, body composition, and leptin level was adjusted by sex, we found that only waist circumference was associated with fasting leptin concentration. Since waist circumference is correlated with visceral fat volume, this might indicate that leptin secretion is regulated by the visceral adipose tissue. However, Minocci et al. have shown that subcutaneous fat is a determinant of leptin concentration, whereas the contribution of visceral fat is not significant. Our finding that leptin levels were increased in participants with abdominal obesity might indicate that abdominal subcutaneous fat tissue is the major regulator of leptin secretion. However, methodological limitations make it impossible to measure segmental subcutaneous fat tissue and visceral fat.
We did not find any correlation between the levels of other peptides and body composition. Lack of associations between body fat content and ghrelin level was also confirmed by Stylianou et al., although they do not specify which form of ghrelin (octanoylated or nonoctanoylated) was measured. In a large (n = 1434 subjects) study, Martin et al. found that five different single-nucleotide polymorphisms within ghrelin gene are not associated with the amount of body fat. On the other hand, Labayen et al. found that fasting serum ghrelin levels are correlated with changes in total body fat mass and FMI after energy-restricted diet intervention in obese women, and Cederberg et al. found that non-octanoylated ghrelin is associated with changes in body composition and body fat distribution during long-term exercise intervention. In animal models, Ruegsegger et al. found a significant negative correlation between body fat and NPY. The lack of such association in our study may result from methodological differences (we have measured peripheral NPY levels, while Ruegsegger et al. evaluated levels of hypothalamic NPY mRNA). For PYY, there is one study showing that the concentration of fasting serum PYY was positively associated with body fat measures (waist circumference, percent body fat, and trunk fat), but only in women.
Obestatin regulates β-cell survival, and insulin secretion, inhibits glucose-dependent insulin secretion, and this inhibition probably results from a direct effect of obestatin on the pancreatic islets. Obestatin exerts a dual effect on glucose-induced insulin secretion: at low glucose concentration obestatin potentiates the insulin response to glucose, while at high concentrations, it inhibits insulin release evoked by glucose (because at high glucose concentrations beta cells are less responsive to obestatin). Our results confirm that peripheral level of obestatin may be related to glucose metabolism and its abnormalities (mainly to IR) as obestatin level was higher in participants with IR, but there was no difference for impaired fasting glucose or correlations between obestatin and fasting plasma glucose, insulin, or HOMA-IR.
As every study, this work has certain limitation. Low number of the study participants limited the probability of finding inter-group differences due to lack of statistical power. We have no behavioral data (e.g., physical activity, food intake logs). Furthermore, dual-energy X-ray absorptiometry could be used to measure body composition and percentage of fat more accurately. The major strength of the study is the ability to analyze seven different appetite-regulating peptides in the context of detailed anthropometric, body composition, and biochemical measurements. One of the major conclusions from the above studies is that associations between body fat and appetite-regulating peptides are far more complex than simple feedback loops. At the peripheral level, there may be no direct associations between expression and secretion of centrally acting appetite-regulating peptides. Our results may also confirm that leptin (and other adipokines) is the first signal in the pathway that regulates body fat content, as of all analyzed peptides leptin was the only one that was directly associated with body composition or anthropometric measurements. The results of this type of research can give measurable benefits for patients with obesity. Information on changes in individual peptides will be helpful in determining ways to prevent and treat obesity, among others, by determining the mechanism of action of new drugs or introducing specific dietary recommendations. Finding relationships between specific body components, concomitant diseases and the level of individual appetite-regulating peptides will help determine treatment methods for individual patients. Such targeted therapy can reduce drug side effects and treatment complications.
Financial support and sponsorship
This study was financially supported by the Medical University of Lodz (grant number 502-03/8-040-01/502-64-139-18).
Conflicts of interest
There are no conflicts of interest.
| References|| |
Valassi E, Scacchi M, Cavagnini F. Neuroendocrine control of food intake. Nutr Metab Cardiovasc Dis 2008;18:158-68.
Tilg H, Moschen AR. Adipocytokines: Mediators linking adipose tissue, inflammation and immunity. Nat Rev Immunol 2006;6:772-83.
Kershaw EE, Flier JS. Adipose tissue as an endocrine organ. J Clin Endocrinol Metab 2004;89:2548-56.
Benoit SC, Clegg DJ, Seeley RJ, Woods SC. Insulin and leptin as adiposity signals. Recent Prog Horm Res 2004;59:267-85.
Asarian L, Geary N. Sex differences in the physiology of eating. Am J Physiol Regul Integr Comp Physiol 2013;305:R1215-67.
Weigle DS, Bukowski TR, Foster DC, Holderman S, Kramer JM, Lasser G, et al.
Recombinant ob protein reduces feeding and body weight in the ob/ob mouse. J Clin Invest 1995;96:2065-70.
Beck B, Richy S. Hypothalamic hypocretin/orexin and neuropeptide Y: Divergent interaction with energy depletion and leptin. Biochem Biophys Res Commun 1999;258:119-22.
Muroya S, Funahashi H, Yamanaka A, Kohno D, Uramura K, Nambu T, et al.
Orexins (hypocretins) directly interact with neuropeptide Y, POMC and glucose-responsive neurons to regulate Ca 2+ signaling in a reciprocal manner to leptin: Orexigenic neuronal pathways in the mediobasal hypothalamus. Eur J Neurosci 2004;19:1524-34.
Kristensen P, Judge ME, Thim L, Ribel U, Christjansen KN, Wulff BS, et al.
Hypothalamic CART is a new anorectic peptide regulated by leptin. Nature 1998;393:72-6.
Kutlu S, Aydin M, Alcin E, Ozcan M, Bakos J, Jezova D, et al.
Leptin modulates noradrenaline release in the paraventricular nucleus and plasma oxytocin levels in female rats: A microdialysis study. Brain Res 2010;1317:87-91.
Di Marzo V, Goparaju SK, Wang L, Liu J, Bátkai S, Járai Z, et al.
Leptin-regulated endocannabinoids are involved in maintaining food intake. Nature 2001;410:822-5.
Fulton S, Woodside B, Shizgal P. Modulation of brain reward circuitry by leptin. Science 2000;287:125-8.
Kojima M, Hosoda H, Date Y, Nakazato M, Matsuo H, Kangawa K. Ghrelin is a growth-hormone-releasing acylated peptide from stomach. Nature 1999;402:656-60.
Hosoda H, Kojima M, Matsuo H, Kangawa K. Purification and characterization of rat des-gln14-ghrelin, a second endogenous ligand for the growth hormone secretagogue receptor. J Biol Chem 2000;275:21995-2000.
Wang H, Dey SK, Maccarrone M. Jekyll and hyde: Two faces of cannabinoid signaling in male and female fertility. Endocr Rev 2006;27:427-48.
Delhanty PJ, Neggers SJ, van der Lely AJ. Mechanisms in endocrinology: Ghrelin: The differences between acyl- and des-acyl ghrelin. Eur J Endocrinol 2012;167:601-8.
Murphy KG. Dissecting the role of cocaine - And amphetamine-regulated transcript (CART) in the control of appetite. Brief Funct Genomic Proteomic 2005;4:95-111.
Vrang N, Tang-Christensen M, Larsen PJ, Kristensen P. Recombinant CART peptide induces c-fos expression in central areas involved in control of feeding behaviour. Brain Res 1999;818:499-509.
Challis BG, Yeo GS, Farooqi IS, Luan J, Aminian S, Halsall DJ, et al.
The CART gene and human obesity: Mutational analysis and population genetics. Diabetes 2000;49:872-5.
Morton GJ, Schwartz MW. The NPY/AgRP neuron and energy homeostasis. Int J Obes Relat Metab Disord 2001;25 Suppl 5:S56-62.
Sahu A, Kalra PS, Kalra SP. Food deprivation and ingestion induce reciprocal changes in neuropeptide Y concentrations in the paraventricular nucleus. Peptides 1988;9:83-6.
Schwartz MW, Woods SC, Porte D Jr., Seeley RJ, Baskin DG. Central nervous system control of food intake. Nature 2000;404:661-71.
Andrews ZB. The extra-hypothalamic actions of ghrelin on neuronal function. Trends Neurosci 2011;34:31-40.
Kuo LE, Kitlinska JB, Tilan JU, Li L, Baker SB, Johnson MD, et al.
Neuropeptide Y acts directly in the periphery on fat tissue and mediates stress-induced obesity and metabolic syndrome. Nat Med 2007;13:803-11.
Egawa M, Yoshimatsu H, Bray GA. Effect of corticotropin releasing hormone and neuropeptide Y on electrophysiological activity of sympathetic nerves to interscapular brown adipose tissue. Neuroscience 1990;34:771-5.
Ollmann MM, Wilson BD, Yang YK, Kerns JA, Chen Y, Gantz I, et al.
Antagonism of central melanocortin receptors in vitro
and in vivo
by agouti-related protein. Science 1997;278:135-8.
Shutter JR, Graham M, Kinsey AC, Scully S, Lüthy R, Stark KL. Hypothalamic expression of ART, a novel gene related to agouti, is up-regulated in obese and diabetic mutant mice. Genes Dev 1997;11:593-602.
Hagan MM, Rushing PA, Pritchard LM, Schwartz MW, Strack AM, Van Der Ploeg LH, et al.
Long-term orexigenic effects of agRP-(83–132) involve mechanisms other than melanocortin receptor blockade. Am J Physiol Regul Integr Comp Physiol 2000;279:R47-52.
Batterham RL, Cohen MA, Ellis SM, Le Roux CW, Withers DJ, Frost GS, et al.
Inhibition of food intake in obese subjects by peptide YY3-36. N Engl J Med 2003;349:941-8.
Konturek PC, Konturek JW, Cześnikiewicz-Guzik M, Brzozowski T, Sito E, Konturek SJ. Neuro-hormonal control of food intake: Basic mechanisms and clinical implications. J Physiol Pharmacol 2005;56 Suppl 6:5-25.
Stanley S, Wynne K, Bloom S. Gastrointestinal satiety signals III. Glucagon-like peptide 1, oxyntomodulin, peptide YY, and pancreatic polypeptide. Am J Physiol Gastrointest Liver Physiol 2004;286:G693-7.
Zhang JV, Ren PG, Avsian-Kretchmer O, Luo CW, Rauch R, Klein C, et al.
Obestatin, a peptide encoded by the ghrelin gene, opposes ghrelin's effects on food intake. Science 2005;310:996-9.
Hassouna R, Zizzari P, Tolle V. The ghrelin/obestatin balance in the physiological and pathological control of growth hormone secretion, body composition and food intake. J Neuroendocrinol 2010;22:793-804.
Lacquaniti A, Donato V, Chirico V, Buemi A, Buemi M. Obestatin: An interesting but controversial gut hormone. Ann Nutr Metab 2011;59:193-9.
Gourcerol G, Coskun T, Craft LS, Mayer JP, Heiman ML, Wang L, et al.
Preproghrelin-derived peptide, obestatin, fails to influence food intake in lean or obese rodents. Obesity (Silver Spring) 2007;15:2643-52.
Gourcerol G, St-Pierre DH, Taché Y. Lack of obestatin effects on food intake: Should obestatin be renamed ghrelin-associated peptide (GAP)? Regul Pept 2007;141:1-7.
Nakahara T, Harada T, Yasuhara D, Shimada N, Amitani H, Sakoguchi T, et al.
Plasma obestatin concentrations are negatively correlated with body mass index, insulin resistance index, and plasma leptin concentrations in obesity and anorexia nervosa. Biol Psychiatry 2008;64:252-5.
Ren AJ, Guo ZF, Wang YK, Lin L, Zheng X, Yuan WJ. Obestatin, obesity and diabetes. Peptides 2009;30:439-44.
Bosy-Westphal A, Later W, Hitze B, Sato T, Kossel E, Gluer CC, et al.
Accuracy of bioelectrical impedance consumer devices for measurement of body composition in comparison to whole body magnetic resonance imaging and dual X-ray absorptiometry. Obes Facts 2008;1:319-24.
Kelly TL, Wilson KE, Heymsfield SB. Dual energy X-ray absorptiometry body composition reference values from NHANES. PLoS One 2009;4:e7038.
Williams RL, Wood LG, Collins CE, Morgan PJ, Callister R. Energy homeostasis and appetite regulating hormones as predictors of weight loss in men and women. Appetite 2016;101:1-7.
Kuhar MJ, Adams S, Dominguez G, Jaworski J, Balkan B. CART peptides. Neuropeptides 2002;36:1-8.
Menyhért J, Wittmann G, Lechan RM, Keller E, Liposits Z, Fekete C. Cocaine- and amphetamine-regulated transcript (CART) is colocalized with the orexigenic neuropeptide Y and agouti-related protein and absent from the anorexigenic alpha-melanocyte-stimulating hormone neurons in the infundibular nucleus of the human hypothalamus. Endocrinology 2007;148:4276-81.
Hunter RG, Philpot K, Vicentic A, Dominguez G, Hubert GW, Kuhar MJ. CART in feeding and obesity. Trends Endocrinol Metab 2004;15:454-9.
Hunter RG, Kuhar MJ. CART peptides as targets for CNS drug development. Curr Drug Targets CNS Neurol Disord 2003;2:201-5.
Brothers SP, Wahlestedt C. Therapeutic potential of neuropeptide Y (NPY) receptor ligands. EMBO Mol Med 2010;2:429-39.
Wierup N, Kuhar M, Nilsson BO, Mulder H, Ekblad E, Sundler F. Cocaine- and amphetamine-regulated transcript (CART) is expressed in several islet cell types during rat development. J Histochem Cytochem 2004;52:169-77.
Minocci A, Savia G, Lucantoni R, Berselli ME, Tagliaferri M, Calò G, et al.
Leptin plasma concentrations are dependent on body fat distribution in obese patients. Int J Obes Relat Metab Disord 2000;24:1139-44.
Stylianou C, Galli-Tsinopoulou A, Farmakiotis D, Rousso I, Karamouzis M, Koliakos G, et al
. Ghrelin and leptin levels in obese adolescents. Relationship with body fat and insulin resistance. Hormones (Athens) 2007;6:295-303.
Martin GR, Loredo JC, Sun G. Lack of association of ghrelin precursor gene variants and percentage body fat or serum lipid profiles. Obesity (Silver Spring) 2008;16:908-12.
Labayen I, Ortega FB, Ruiz JR, Lasa A, Simón E, Margareto J. Role of baseline leptin and ghrelin levels on body weight and fat mass changes after an energy-restricted diet intervention in obese women: Effects on energy metabolism. J Clin Endocrinol Metab 2011;96:E996-1000.
Cederberg H, Rajala U, Koivisto VM, Jokelainen J, Surcel HM, Keinänen-Kiukaanniemi S, et al.
Unacylated ghrelin is associated with changes in body composition and body fat distribution during long-term exercise intervention. Eur J Endocrinol 2011;165:243-8.
Ruegsegger GN, Speichinger KR, Manier JB, Younger KM, Childs TE, Booth FW. Hypothalamic Npy mRNA is correlated with increased wheel running and decreased body fat in calorie-restricted rats. Neurosci Lett 2016;618:83-8.
Cahill F, Ji Y, Wadden D, Amini P, Randell E, Vasdev S, et al.
The association of serum total peptide YY (PYY) with obesity and body fat measures in the CODING study. PLoS One 2014;9:e95235.
Granata R, Settanni F, Gallo D, Trovato L, Biancone L, Cantaluppi V, et al.
Obestatin promotes survival of pancreatic beta-cells and human islets and induces expression of genes involved in the regulation of beta-cell mass and function. Diabetes 2008;57:967-79.
Ren AJ, Guo ZF, Wang YK, Wang LG, Wang WZ, Lin L, et al.
Inhibitory effect of obestatin on glucose-induced insulin secretion in rats. Biochem Biophys Res Commun 2008;369:969-72.
Egido EM, Hernández R, Marco J, Silvestre RA. Effect of obestatin on insulin, glucagon and somatostatin secretion in the perfused rat pancreas. Regul Pept 2009;152:61-6.
[Figure 1], [Figure 2]
[Table 1], [Table 2], [Table 3], [Table 4]
|This article has been cited by|
Inhalation of low-dose basil (
) essential oil improved cardiovascular health and plasma lipid markers in high fat diet-induced obese rats
| ||Seong Jun Hong, Da-Som Kim, Jookyeong Lee, Chang Guk Boo, Moon Yeon Youn, Brandy Le, Jae Kyeom Kim, Eui-Cheol Shin |
| ||Journal of Food Science. 2022; |
|[Pubmed] | [DOI]|
||Hypothalamic-pituitary hormones will be affected by the interaction between 5q13-14-rs2239670 (CARTPT) gene variants and diet in different obesity phenotypes
| ||Mahsa Mahmoudinezhad, Mahdieh Abbasalizad-Farhangi, Houman Kahroba |
| ||BMC Research Notes. 2021; 14(1) |
|[Pubmed] | [DOI]|
||Neuropeptide Y and Peptide YY in Association with Depressive Symptoms and Eating Behaviours in Adolescents across the Weight Spectrum: From Anorexia Nervosa to Obesity
| ||Marta Tyszkiewicz-Nwafor,Katarzyna Jowik,Agata Dutkiewicz,Agata Krasinska,Natalia Pytlinska,Monika Dmitrzak-Weglarz,Marta Suminska,Agata Pruciak,Bogda Skowronska,Agnieszka Slopien |
| ||Nutrients. 2021; 13(2): 598 |
|[Pubmed] | [DOI]|
||Inhalation of Patchouli (Pogostemon Cablin Benth.) Essential Oil Improved Metabolic Parameters in Obesity-Induced Sprague Dawley Rats
| ||Seong Jun Hong,Jinju Cho,Chang Guk Boo,Moon Yeon Youn,Jeong Hoon Pan,Jae Kyeom Kim,Eui-Cheol Shin |
| ||Nutrients. 2020; 12(7): 2077 |
|[Pubmed] | [DOI]|
||Unexpectedly High Prevalence of Breakfast Skipping in Low Body-Weight Middle-Aged Men: Results of the Kanagawa Investigation of Total Checkup Data from the National Data Base-7 (KITCHEN-7)
| ||Kei Nakajima,Ryoko Higuchi,Kaori Mizusawa |
| ||Nutrients. 2020; 13(1): 102 |
|[Pubmed] | [DOI]|