Literature DB >> 31877773

Leptin, Ghrelin, and Leptin/Ghrelin Ratio in Critically Ill Patients.

Yaseen M Arabi1,2,3, Dunia Jawdat2,4, Hasan M Al-Dorzi1,2,3, Hani Tamim2,3,5, Waleed Tamimi2,3,6, Abderrezak Bouchama1,2,7, Musharaf Sadat1,2,3, Lara Afesh3, Mashan L Abdullah2,3,7, Walid Mashaqbeh2,4, Maram Sakhija1,2,3, Abdulaziz Al-Dawood1,2,3.   

Abstract

The objective of this study was to evaluate leptin, ghrelin, and leptin/ghrelin ratio in critically ill patients and association of leptin/ghrelin ratio with outcomes. This is a sub-study of the PermiT trial (ISRCTN68144998). A subset of 72 patients who were expected to stay >14 days in the Intensive care unit were enrolled. Blood samples were collected on days 1, 3, 5, 7, and 14. Samples were analyzed for leptin and active ghrelin in addition to other hormones. Baseline leptin/ghrelin ratio was calculated, and patients were stratified into low and high leptin/ghrelin ratio based on the median value of 236. There was a considerable variation in baseline leptin level: Median 5.22 ng/mL (Q1, Q3: 1.26, 17.60). Ghrelin level was generally low: 10.61 pg/mL (Q1, Q3: 8.62, 25.36). Patients with high leptin/ghrelin ratio compared to patients with low leptin/ghrelin ratio were older, had higher body mass index and more likely to be diabetic. There were no differences in leptin/ghrelin ratio between patients who received permissive underfeeding and standard feeding. Multivariable logistic regression analysis showed that age and body mass index were significant independent predictors of high leptin-ghrelin ratio. Leptin-ghrelin ratio was not associated with 90-day mortality or other outcomes. Age and body mass index are predictors of high leptin/ghrelin ratio. Leptin/ghrelin ratio is not affected by permissive underfeeding and is not associated with mortality.

Entities:  

Keywords:  BMI; adipokines; critical illness; energy restriction; inflammatory markers; obesity

Mesh:

Substances:

Year:  2019        PMID: 31877773      PMCID: PMC7020071          DOI: 10.3390/nu12010036

Source DB:  PubMed          Journal:  Nutrients        ISSN: 2072-6643            Impact factor:   5.717


1. Introduction

Leptin and ghrelin are two orexitropic hormones with opposite effects on energy homeostasis. Leptin is an adipokine that is released by the adipose tissue. It regulates food intake and energy expenditure and suppresses appetite (satiety hormone) by sending signals about the peripheral obesity to the central nervous system [1]. Leptin has other effects on glucose homeostasis, immune response, growth and differentiation and angiogenesis and have been implicated in the pathogenesis of hypertension, atherosclerosis and cancer. During critical illness, leptin levels are high initially and then decrease over time [2,3,4], suggesting that it may play a role in the pathogenesis and/or outcome of disease [5]. On the other hand, ghrelin is secreted in the stomach [6], and is a potent appetite stimulator (hunger hormone). Ghrelin increases during fasting in normal subjects [7], helps in short-term and long-term weight regulation and usually promotes weight gain and adiposity [8]. It has been shown to have cardiovascular and anti-inflammatory effects [9,10,11]. Ghrelin was found to mediate improvement of tissue perfusion in severe sepsis [12], and down-regulation of proinflammatory cytokines in sepsis through activation of the vagus nerve [13]. A study showed that ghrelin levels are reduced in intensive care unit (ICU) patients which seemed to be responsible for suppression of appetite and nutritional intake and gastrointestinal dysfunction including delayed gastric emptying [14]. Feeding dose and composition affects leptin and ghrelin inversely [15]. Energy deficit causes a rapid initial decrease in circulating leptin levels that becomes more marked with progressive loss of body fat [16], and a marked increase in ghrelin. High protein meals increase circulating concentrations of the gut hormones PYY and GLP-1 and decrease ghrelin concentration [17]. An increase in dietary protein from 15% to 30% of energy at a constant carbohydrate intake produces a sustained decrease in ad libitum caloric intake that is probably mediated by increased central nervous system leptin sensitivity and results in significant weight loss [18]. This anorexic effect of protein may contribute to the weight loss produced by low-carbohydrate diets [18]. As there is no consistent relation between both leptin and ghrelin and weight loss and then subsequent weight regain [19], the leptin/ghrelin ratio has been suggested to be a better marker and a predictor of energy restriction treatment success or failure [19]. In one study, higher baseline (week 0) and after treatment (week 8) leptin/ghrelin ratio was associated with an increased risk for weight regain in an 8-week hypocaloric diet program [20]. In a recent study which evaluated the leptin/ghrelin ratio in a fasting state and after the intake of meals with varying macronutrient contents, there was a significant difference in postprandial leptin/ghrelin ratio in normal body weight and overweight/obese men [21]. There is limited information about leptin, ghrelin, and the leptin/ghrelin ratio in critically ill patients and in association with feeding. The objective of this study was to evaluate leptin, ghrelin, and the leptin/ghrelin ratio in critically ill patients and the association of leptin/ghrelin ratio with outcomes.

2. Methods

This is a sub-study of the PermiT (Permissive Underfeeding versus Target Enteral Feeding in Adult Critically Ill Patients, Current Controlled Trials number, ISRCTN68144998) trial in which the critically ill patients were randomized to permissive underfeeding (40–60% of calculated caloric requirements) or standard feeding (70–100%) for up to 14 days while maintaining similar protein intake in both groups [22]. Caloric intake was calculated using the Penn State equation for mechanically ventilated patients with body mass index (BMI) ≤30 and Ireton-Jones equation for those with BMI ≥30. Protein target was maintained uniformly at 1.2 to 1.5 g per kg of body weight per day with additional protein (Resource Beneprotein, Nestle Healthcare, Lausanne, Switzerland) provided as needed. The trial found no difference between the two groups in the primary endpoint of 90-day mortality (relative risk 0.94, 95% confidence interval 0.76, 1.16, p = 0.58). In this sub-study, we enrolled a subset of patients who were expected to stay >14 days in the ICU at King Abdulaziz Medical City-Riyadh and consented for blood sample collection. The sub-study was approved by Institutional Board Review of the Ministry of the National Guard Health Affairs, Riyadh, Saudi Arabia. Blood samples were collected on days 1, 3, 5, 7, and 14. Samples were centrifuged for 20 min and stored at −80°C.

2.1. Laboratory Measurements

Samples were analyzed using Millipore (Merck Mellipore, Darmstadt, Germany) with Luminex 3D platform (Luminex, Austin, TX, USA) for leptin, active ghrelin as well as the following adipokines (adiponectin, monocyte chemotactic protein-1 (MCP-1), resistin, adipsin, and plasminogen activator inhibitor-1 (PAI-1)), pancreatic hormones (amylin, C-peptide, glucagon, pancreatic polypeptide (PP)), gut hormones (gastric inhibitory polypeptide (GIP), glucagon-like peptide (GLP), polypeptide YY), glycoproteins (neutrophil gelatinase associated lipocalin or NGAL (lipocalin-2 NGAL) and selected inflammatory markers (interleukin-1B, interleukin-6, and tumor necrosis factor-α). We did not add serine protease inhibitor to blood samples after collection. Reported normal leptin levels are median 4.0 (Q1, Q3: 1.7, 7.2) ng/mL [23]. Reported active ghrelin in lean subjects mean 411.8 pg/mL (SD 57.4) and 180.4 pg/mL (SD 18.5) in obese subjects [24]. Baseline leptin and active ghrelin levels were evaluated and the leptin/ghrelin ratio was calculated as leptin in ng/mL multiplied by 103 and divided by ghrelin in pg/mL [20]. The median leptin/ghrelin ratio for this study cohort was 236, which was used as a cut off and the patients with leptin/ghrelin ratio ≤236 were considered to have low leptin/ghrelin ratio and the patients with ratio >236 were considered to have high leptin/ghrelin ratio.

2.2. Data Collection

We collected the baseline data which included demographics, physiological parameters (Acute Physiology and Chronic Health Evaluation Scores (APACHE) II, Sequential Organ Failure Assessment (SOFA) score, the ratio of partial pressure of arterial oxygen to the fraction of inspired oxygen (PaO2:FiO2), Glasgow coma scale and laboratory parameters. The nutritional data were collected for the period of intervention which was 14 days and included the average caloric intake and average protein intake. In addition, data about cointerventions including insulin dose, daily blood glucose and other medications were collected. Mortality outcome at 28, 90, and 180 days was collected. Other outcomes included hospital and ICU mortality, new renal replacement therapy, ICU-associated infections, ICU and hospital length of stay (LOS) and mechanical ventilation duration.

2.3. Statistical Analysis

Categorical variables were reported as frequencies with percentages and continuous variables as medians with quartiles 1 and 3 (Q1, Q3). Categorical variables were compared using chi-square or Fisher’s exact test and continuous variables using Mann–Whitney U test based on non-normality assumption and small sample size. Multivariate regression analysis was carried out to assess the predictors of high leptin/ghrelin ratio adjusting for selected baseline variables of clinical interest (age, BMI, sex, diabetes, sepsis and APACHE II). We also carried out logistic regression models to examine the association between leptin/ghrelin ratio and 90-day mortality adjusting for the same variables. The results were presented as adjusted odds ratio (OR) with 95% confidence interval (CI). To assess whether low leptin/ghrelin ratio compared to high leptin/ghrelin ratio was associated with levels of different hormones and other inflammatory markers over time, we constructed repeated measure mixed linear model. p value of ≤0.05 was considered significant. All statistical analyses were performed using SAS version 9.2 (SAS Institute, Cary, NC, USA).

3. Results

Seventy-two patients were included in this study and their characteristics were described in Table 1 according to the leptin/ghrelin ratio. There was a considerable variation in baseline leptin level; median 5.22 ng/mL (Q1, Q3: 1.26, 17.60), while active ghrelin level was generally low: 10.61 pg/mL (Q1, Q3: 8.62, 25.36). Patients with high leptin/ghrelin ratio were older, obese and more likely to be diabetic. The total daily caloric intake and protein intake was similar in the two groups. However, more patients in the high leptinghrelin ratio group were more likely to be on aspirin and statins in comparison to the low leptinghrelin ratio group (16 (44.4%) vs. 7 (19.4%), p = 0.02 and 19 (52.8%) vs. 8 (22.2%), p = 0.007), respectively (Table 2).
Table 1

Baseline characteristics of patients low and high leptin–ghrelin ratio.

VariablesLow Leptin/Ghrelin Ratio Group *(≤236 pg/mL)n = 36High Leptin/Ghrelin Ratio Group(>236 pg/mL)n = 36p Value
Age—years median (Q1, Q3)30.6 (24.0, 63.9)64.3 (46.7, 72.2)0.002
Female sex—no (%)7 (19.4)13 (36.1)0.11
BMI—kg/m2 median (Q1, Q3)23.7 (21.0, 26.5)31.2 (27.6, 36.0)<0.0001
Admission category—no (%)
Medical17 (47.2)23 (63.9)0.30
Surgical4 (11.1)4 (11.1)
No-operative trauma15 (41.7)9 (25.0)
Diabetes—no (%)11 (30.6)26 (72.2)0.0004
Sepsis—no (%)6 (16.7)11 (30.6)0.17
Traumatic brain injury—no (%)1 (2.8)2 (5.6)0.56
APACHE II score—median (Q1, Q3)21 (12, 26)21.0 (14.0, 26.5)0.71
Glasgow Coma Scale—median (Q1, Q3)3 (3, 4)3 (3, 7)0.18
SOFA Score on Day 1—median (Q1, Q3)11 (9, 12)10 (8, 13)0.62
Mechanical ventilation—no (%)34 (94.4)33 (91.7)0.64
Vasopressor therapy—no (%)26 (72.2)21 (58.3)0.22
Renal replacement therapy—no (%)1 (2.8)2 (5.6)0.56
Inclusion blood glucose—(mmol/L) median (Q1, Q3)8.4 (6.7, 12.7)11.7 (8.4, 14.0)0.05
Creatinine—(µmol/L) median (Q1, Q3)81 (67.5, 114.5)95 (75.5, 118.0)0.12
Bilirubin—(µmol/L) median (Q1, Q3)17.8 (9.8, 29.4)11.8 (8.6, 26.0)0.18
Platelets—(109/L) median (Q1, Q3) 170.5 (137, 230)197 (138, 267)0.38
INR—median (Q1, Q3) *1.2 (1.0, 1.3)1.1 (1.0, 1.2)0.29
SOFA hypotension score—median (Q1, Q3)4 (3, 4)3 (1.5, 4.0)0.39
PaO2/FiO2 ratio—median (Q1, Q3)138 (118, 281.5)150 (68, 242)0.40
HbA1c—median (Q1, Q3)0.06 (0.05, 0.07)0.07 (0.06, 0.08)0.10
C-reactive protein—(mg/L) median (Q1, Q3) 126.5 (68.1, 194.5)108 (47.9, 160.0)0.35
Albumin—(g/L) median (Q1, Q3)28 (26, 31)28 (28, 33)0.51
Pre-albumin—(g/L) median (Q1, Q3)0.12 (0.09, 0.15)0.11 (0.09, 0.13)0.41
24 h urinary nitrogen—(mmol/d) median (Q1, Q3)209 (131, 326)266.5 (173, 391.0)0.10
Transferrin—(g/L) median (Q1, Q3)1.3 (0.9, 1.5)1.4 (1.1, 1.8)0.14
Hemoglobin—(g/L) (median (Q1, Q3)120 (92.0, 126.0)105 (90, 131)0.88
Serum lipid levels—(mmol/L) median (Q1, Q3)
Triglycerides1.1 (0.7, 1.8)1.2 (0.9, 1.8)0.72
Total cholesterol2.5 (2.0, 2.9)2.8 (2.0, 3.3)0.32
Low-density lipoprotein1.0 (0.6, 1.3)1.2 (0.8, 1.7)0.22
High-density lipoprotei0.6 (0.3, 0.9)0.6 (0.5, 0.9)0.40
Minute ventilation—(L/min) median (Q1, Q3)8.5 (7.1, 10.9)9.4 (7.9, 11.5)0.24
Maximum temperature—Celsius median (Q1, Q3)37.0 (36.6, 37.0)37.1 (36.7, 37.6)0.82
Baseline leptin level—(ng/mL)1.26 (0.57, 2.43)17.59 (7.73, 40.10)<0.0001
Baseline active ghrelin level—(pg/mL)16.2 (10.1, 59.2)9.2 (7.6, 10.8)<0.0001
Baseline leptin/ghrelin ratio *53.4 (22.2, 119.9)1747.8 (736.2, 4507.5)<0.0001

APACHE II: Acute Physiology and Chronic Health Evaluation II; BMI: body mass index; INR: international normalized ratio; Q1, Q2: first and third quartiles; SOFA: Sequential Organ Failure Assessment; PaO2:FIO2 ratio: the ratio of partial pressure of oxygen to the fraction of inspired oxygen; SD: standard deviation. Continuous variables were compared using Wilcoxon–Mann–Whitney test and categorical variables using chi-square test. * Leptin–ghrelin ratio was calculated as leptin in ng/mL multiplied by 103 and divided by active ghrelin in pg/mL.

Table 2

Daily caloric intake, protein intake, insulin and glucose data in patients with low and high leptin–ghrelin ratio.

VariableLow Leptin/Ghrelin Ratio Group(≤236)n = 35High Leptin/Ghrelin Ratio Group(>236)n = 34p Value
Feeding group allocation
Permissive underfeeding—no (%)22 (61.1)13 (36.1)0.03
Standard feeding—no (%)14 (28.9)23 (63.9)
Nutritional data
Calculated caloric requirement—(kcal/day) median (Q1, Q3)1675 (1475, 1945)1860.5 (1683, 2074)0.06
Study caloric target—(kcal/day) median (Q1, Q3)1193 (988, 1620)1672(1206, 1995)0.009
Achieved daily caloric intake (kcal) median (Q1, Q3)957 (787, 1177)1090 (803, 1607)0.12
% of requirement achieved—median (Q1, Q3)57(45, 63)57 (49, 87)0.41
Caloric source—(kcal) median (Q1, Q3)
Enteral824 (618, 1115)998 (727, 1489)0.08
Propofol72 (17, 120)79 (23, 149)0.58
Dextrose4 (0, 43)0 (0, 14)0.10
Parental nutrition0 (0, 0)0 (0, 0)0.33
Calculated protein requirement—(g/day) median (Q1, Q3)78 (66, 89)85 (73, 95)0.13
Achieved protein intake—(g/day) median (Q1, Q3)51 (41, 62)56 (39, 70)0.23
% of requirement achieved—median (Q1, Q3)67 (59, 82)74 (50, 84)0.52
Protein Source—(g/day) median (Q1, Q3)
Main enteral formula31 (23, 47)38 (28, 56)0.08
Supplemental enteral protein16 (0, 22)4 (0, 27)0.59
Received insulin—no (%)16 (44.4)28 (77.8)0.004
Daily insulin dose— (unit) median (Q1, Q3)0.0 (0.0, 6.7)22.2 (2.8, 47.4)0.0003
Medications—no (%)
Beta-blockers17 (47.2)17 (47.2)1.00
Aspirin7 (19.416 (44.4)0.02
Angiotensin-converting enzyme inhibitors4 (11.1)5 (13.9)0.72
Angiotensin II receptor blockers01 (2.8)0.31
Statins8 (22.2)19 (52.8)0.007
Formulae—no (%)
Disease non-specific19 (52.8)12 (33.3)0.096
Disease specific17 (47.2)24 (66.7)
Duration of feeding interruption per day—hours median (Q1, Q3)3.9 (2.2, 5.8)4.0 (2.1, 6.0)0.95
Fluid intake—ml/day median (Q1, Q3)3354.6 (2549.9, 4390.8)2804.1 (2231.3, 3863.5)0.14
Fluid output—ml/day median (Q1, Q3)3248.3 (2222.0, 3963.0)2743.0 (2171.4, 3574.4)0.36
Blood glucose—mmol/L median (Q1, Q3)7.2 (6.2, 8.8)10.2 (7.2, 12.0)0.0008

Disease-non-specific formula: Osmolite, Jevity, Promote, Ensure plus, Resourse, Ensure, Resource plus, Jevity (1.2); Disease specific formula: Glucerna, Nutric hepatic, Nepro, Pulmocare, Novasource Renal, Peptamen (1.0), Peptamen (1.2), Suplena, Oxepa; Continuous variables were compared using Wilcoxon–Mann–Whitney test and categorical variables using chi-square test.

Figure S1 also shows no differences in the serial leptin/ghrelin ratio between the permissive underfeeding and standard feeding groups during the intervention period.

Relationship between Leptin–Ghrelin Ratio and Other Hormones

Figure 1, Figure S2 and Figure S3 describe the results of repeat measure analysis using the mixed linear model of the differences in hormones between the high and low leptin/ghrelin ratio groups. With the exception of glucagon levels, which were lower in the high leptin/ghrelin ratio group over time (p = 0.007), other hormones were not different.
Figure 1

Serial measurements for leptin, ghrelin and other adipokines in patients with low and high leptin/ghrelin ratio at baseline. The differences between groups, with time and between groups with time (group × time) were tested by repeated measures mixed linear models. Box plots are displayed with medians and quartiles 1 and 3. The error bars refer to 10th and 90th percentiles.

4. Outcomes

There was no significant difference in all-cause 90-day mortality between the two groups. There was also no significant difference in other outcomes including length of stay in the ICU or in the hospital, ventilation duration, ICU-associated infections and new renal replacement therapy between the two groups except ventilator associated pneumonia which was more common in patients with low leptin/ghrelin ratio group in comparison to the high leptin/ghrelin ratio group (14 (38.9%) vs. 8 (22.2%), p = 0.04). Multivariable logistic regression analysis showed no significant association between high leptin/ghrelin ratio and 90-day mortality (adjusted OR: 0.78, 95% CI: 0.18, 3.35; p = 0.73) or any other study outcomes (Table 3).
Table 3

Outcome data of patients with low and high leptin–ghrelin ratio.

OutcomesLow Leptin–Ghrelin Ratio Group(≤236)n = 35High Leptin–Ghrelin Ratio Group(>236)n = 34p-ValueAdjusted Odds Ratio (95% CI) *Adjusted p-Value
28-day mortality—no (%) 4 (11.1)6 (16.7)0.501.76 (0.34,8.94)0.50
90-day mortality—no (%) 7 (19.4)6 (16.7)0.770.78 (0.18,3.35)0.73
180-day mortality—no (%) 7 (19.4)8 (22.2)0.771.12 (0.27,4.65)0.88
ICU mortality—no (%) 4 (11.1)3 (8.3)0.690.61 (0.09,4.40)0.62
Hospital mortality-no (%) 5 (13.9)6 (16.7)0.741.49 (0.31,7.07)0.62
ICU LOS—(days) median (Q1, Q3) 16 (10.5, 21.5)15 (9, 20.5)0.84
Hospital LOS—(days) median (Q1, Q3) 39.5 (18, 90.5)35 (20.5, 58.5)0.32
Ventilation duration—(days) median (Q1, Q3) 10 (7, 15.5)11.0 (5, 17.5)0.38
New renal replacement therapy— no (%) 3 (8.8)8 (23.5)0.101.62 (0.28,9.51)0.59
Urinary tract infection—no (%) 5 (13.9)8 (22.2)0.360.84 (0.18, 4.01) (0.52,6.05)0.83
Ventilator-associated pneumonia—no (%) 14 (38.9)8 (22.2)0.120.20 (0.04, 0.89)0.04
Feeding intolerance—no (%) 8 (22.2)11 (30.6)0.421.16 (0.29, 4.67)0.84
Diarrhea-no (%) 13 (36.1)11 (30.6)0.620.47 (0.12, 1.80)0.27
High gastric residual—no (%) 5 (13.9)6 (16.7)0.740.70 (0.12, 4.00)0.69

CI: confidence interval; ICU: intensive care unit, LOS: length of stay; Q1, Q3: first and third quartiles; Feeding intolerance was defined as vomiting, abdominal distention, or a gastric residual volume of more than 200 mL. Diarrhea was defined as three or more loose or liquid stools per day for 2 consecutive days. High gastric residual: gastric residual volume of more than 500 mL. Continuous variables were compared using Wilcoxon–Mann–Whitney test and categorical variables using chi-square test. * adjusted for age, BMI, sex, diabetes, sepsis and APACHE II.

Stepwise multivariable logistic regression analysis showed that age and BMI were independent predictors of high leptinghrelin ratio (Age: aOR for each 1-year increase, 1.03 95% CI 1.002, 1.06; p value= 0.04); BMI: aOR for each 1-unit increase 1.22 95% CI, 1.09, 1.37; p = 0.0004) (Table 4).
Table 4

Predictors of high leptin–ghrelin ratio using stepwise multivariable logistic regression analysis. The following variables were entered in the model: Age, BMI, sex, diabetes, sepsis, and APACHE II.

VariablesOR (95% CI)p Value
Age for per 1-year increase1.03 (1.002, 1.06)0.04
BMI for per 1-unit increase1.22 (1.09, 1.37)0.0004

5. Discussion

In this cohort of critically ill patients, we found large variations in leptin levels while active ghrelin levels were low. The low active ghrelin level in critically ill patients is in line with other previous studies and probably contributes the suppressed appetite and gastroparesis [14,15,16,17,18,19,20,21,22,23,24,25]. In the current study, BMI was the only predictor of the leptin/ghrelin ratio. This finding is consistent with the fact that leptin, which is anorexigenic, is secreted by the adipose tissue and that more leptin is excreted by the obese. Most obese individuals and subjects with a predisposition to regain weight after losing it have higher leptin concentrations than lean individuals [26]. However, appetite is not effectively suppressed in these individuals suggesting leptin resistance [26]. Fasting in healthy subjects usually suppresses leptin and increases ghrelin secretion. Using sensitive radio-immunoassays, a study found that plasma ghrelin and leptin were secreted in pulsatile fashion in rats consuming ad libitum food [27]. Fasting augmented all parameters of ghrelin pulsatile secretion and diminished leptin secretion by selectively attenuating the pulse amplitude [27]. In the TICASOS trial, in which ICU patients were randomized to receive nutrition with an energy target determined either by repeated indirect calorimetry measurements (study group, n = 47) or a weight-based formula (25 Kcal/kg/day; control group, n = 44), there were no significant between-group differences in serum leptin, ghrelin and other adipokines (resistin and adiponectin) on day 1 or day 7 [28]. In the control group, serum ghrelin increased significantly over time (p < 0.05) [28]. For the whole group, a more positive cumulative energy balance and a lower maximal negative energy balance were associated with a significantly smaller increase in serum ghrelin levels (p = 0.008 and p = 0.035, respectively) [28]. Caloric restriction in healthy individuals is expected to be associated with lower leptin/ghrelin ratio. However, in the current study, we found that in critically ill patients the leptin/ghrelin ratio over time was not affected by moderate caloric restriction. Leptin and ghrelin may have important roles in critical illness. High leptin levels have been observed upon ICU admission, with levels subsequently decreasing [2,3]. In mouse endotoxemia and cecal ligation puncture models of sepsis, elevated levels of leptin and soluble leptin receptor have been observed [5]. Additionally, exogenously administered leptin was associated with increased expression of adhesion and coagulation molecules, macrophage infiltration into the liver and kidney, and endothelial barrier dysfunction increased and with increased mortality [5]. However, in critically ill patients, ghrelin levels are reduced despite low nutritional intake. Plasma ghrelin levels are associated with systemic inflammation, and ghrelin has potent inhibitory effects on proinflammatory cytokines including IL-1β, IL-6, and TNF-α. Intraperitoneal administration of ghrelin (23 μg/kg/d) or saline after a colonic anastomosis was associated with beneficial anti-inflammatory and antioxidant effects [10]. In rats with hemorrhagic shock-induced ALI, exogenous ghrelin was associated with less lung injury and attenuated the inflammatory response [29]. Another study found that exogenous ghrelin attenuated the inflammatory response and mortality after whole body irradiation in rats [30]. In critically ill patients, we did not find mortality difference between the low and high leptin/ghrelin groups. On multivariable logistic regression analysis, leptin/ghrelin ratio was also not associated with 90-day mortality or other outcomes. The study results should be interpreted in the light of its strengths and limitations. A strength is that data came from a randomized controlled trial and that we measured the levels of a large number of adipokines at multiple time intervals. The limitations include the relatively small sample size, which makes the study underpowered to detect a mortality difference and that the study included patients who were expected to stay in the ICU for ≥14 days, which may affect the generalizability of study results. We did not add serine protease inhibitor to blood samples after collection, which may have resulted in underestimation of ghrelin levels. Because of the sample size, we were unable to perform subgroup analyses. In conclusion, there is a considerable variation in baseline leptin level in critically ill patients, while active ghrelin level is generally low. Age and BMI are predictors of high leptin/ghrelin ratio. Leptin/ghrelin ratio is not affected by permissive underfeeding and is not associated with mortality.
  29 in total

1.  A high-protein diet induces sustained reductions in appetite, ad libitum caloric intake, and body weight despite compensatory changes in diurnal plasma leptin and ghrelin concentrations.

Authors:  David S Weigle; Patricia A Breen; Colleen C Matthys; Holly S Callahan; Kaatje E Meeuws; Verna R Burden; Jonathan Q Purnell
Journal:  Am J Clin Nutr       Date:  2005-07       Impact factor: 7.045

2.  Is There a Role for Enterohormones in the Gastroparesis of Critically Ill Patients?

Authors:  Carlos A Santacruz; Amanda Quintairos; Claudia Righy; Ilaria A Crippa; Lucio Couto; Virginie Imbault; Mongkolpun Wasineeart; Mathieu De Ryckere; Jean-Charles Preiser
Journal:  Crit Care Med       Date:  2017-10       Impact factor: 7.598

Review 3.  Leptin resistance in obesity: An epigenetic landscape.

Authors:  Ana B Crujeiras; Marcos C Carreira; Begoña Cabia; Sara Andrade; Maria Amil; Felipe F Casanueva
Journal:  Life Sci       Date:  2015-05-18       Impact factor: 5.037

4.  Ghrelin down-regulates proinflammatory cytokines in sepsis through activation of the vagus nerve.

Authors:  Rongqian Wu; Weifeng Dong; Xiaoxuan Cui; Mian Zhou; H Hank Simms; Thanjavur S Ravikumar; Ping Wang
Journal:  Ann Surg       Date:  2007-03       Impact factor: 12.969

5.  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.

Authors:  Idoia Labayen; Francisco B Ortega; Jonatan R Ruiz; Arrate Lasa; Edurne Simón; Javier Margareto
Journal:  J Clin Endocrinol Metab       Date:  2011-04-06       Impact factor: 5.958

6.  The relationship between active ghrelin levels and human obesity involves alterations in resting energy expenditure.

Authors:  Paolo Marzullo; Barbara Verti; Giulio Savia; Gillian E Walker; Gabriele Guzzaloni; Mariantonella Tagliaferri; Annamaria Di Blasio; Antonio Liuzzi
Journal:  J Clin Endocrinol Metab       Date:  2004-02       Impact factor: 5.958

7.  Pre-treatment circulating leptin/ghrelin ratio as a non-invasive marker to identify patients likely to regain the lost weight after an energy restriction treatment.

Authors:  A B Crujeiras; A Díaz-Lagares; I Abete; E Goyenechea; M Amil; J A Martínez; F F Casanueva
Journal:  J Endocrinol Invest       Date:  2014-01-09       Impact factor: 4.256

8.  High protein intake stimulates postprandial GLP1 and PYY release.

Authors:  Agatha A van der Klaauw; Julia M Keogh; Elana Henning; Victoria M Trowse; Waljit S Dhillo; Mohammad A Ghatei; I Sadaf Farooqi
Journal:  Obesity (Silver Spring)       Date:  2013-05-13       Impact factor: 5.002

9.  Changes in appetite related gut hormones in intensive care unit patients: a pilot cohort study.

Authors:  Mohsen Nematy; Jacqui E O'Flynn; Liesl Wandrag; Audrey E Brynes; Stephen J Brett; Michael Patterson; Mohammad A Ghatei; Stephen R Bloom; Gary S Frost
Journal:  Crit Care       Date:  2006-02       Impact factor: 9.097

10.  Fasting and nutrient-stimulated plasma peptide-YY levels are elevated in critical illness and associated with feed intolerance: an observational, controlled study.

Authors:  Nam Q Nguyen; Robert J L Fraser; Marianne Chapman; Laura K Bryant; Judith Wishart; Richard H Holloway; Michael Horowitz
Journal:  Crit Care       Date:  2006       Impact factor: 9.097

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  4 in total

1.  Plasma Adipokines Profile in Prepubertal Children with a History of Prematurity or Extrauterine Growth Restriction.

Authors:  María Dolores Ordóñez-Díaz; Mercedes Gil-Campos; Katherine Flores-Rojas; María Carmen Muñoz-Villanueva; Concepción María Aguilera-García; María Jose de la Torre-Aguilar; Juan Luis Pérez-Navero
Journal:  Nutrients       Date:  2020-04-24       Impact factor: 5.717

2.  Serum concentration of asprosin in new-onset type 2 diabetes.

Authors:  Shakiba Naiemian; Mohsen Naeemipour; Mehdi Zarei; Moslem Lari Najafi; Ali Gohari; Mohammad Reza Behroozikhah; Hafez Heydari; Mohammad Miri
Journal:  Diabetol Metab Syndr       Date:  2020-07-23       Impact factor: 3.320

Review 3.  Ghrelin as an Anti-Sepsis Peptide: Review.

Authors:  Nimisha Mathur; Syed F Mehdi; Manasa Anipindi; Monowar Aziz; Sawleha A Khan; Hema Kondakindi; Barbara Lowell; Ping Wang; Jesse Roth
Journal:  Front Immunol       Date:  2021-01-28       Impact factor: 7.561

4.  Diagnostic Accuracy of Plasma Ghrelin Concentrations in Pediatric Sepsis-Associated Acute Respiratory Distress Syndrome: A Single-Center Cohort Study.

Authors:  Xiu Yuan; Shaojun Li; Liang Zhou; Tian Tang; Yuwei Cheng; Xiaoxiao Ao; Liping Tan
Journal:  Front Pediatr       Date:  2021-05-21       Impact factor: 3.418

  4 in total

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