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Journal of Clinical Laboratory Analysis logoLink to Journal of Clinical Laboratory Analysis
. 2021 Sep 14;35(10):e24000. doi: 10.1002/jcla.24000

Association of serum adiponectin and leptin levels with renal function in kidney transplant recipients with or without new‐onset diabetes after transplantation

Thuy Pham Vu 1,2, Mao Can Van 2, Chung Dang Thanh 2, Tuan Nguyen Minh 3, Kien Nguyen Trung 2,4, Toan Nguyen Duy 2,4, Quyet Do 2, Tien Tran Viet 2,4, Thang Le Viet 2,4,
PMCID: PMC8551688  PMID: 34519108

Abstract

Purpose

To evaluate serum adiponectin and leptin concentration in new‐onset diabetes after transplantation (NODAT) and non‐NODAT patients and association with renal function in kidney transplant recipients (KTRs).

Patients and methods

A study of 314 consecutive adults KTRs divided into four groups: 236 individuals without NODAT who had renal insufficiency (RI; n = 56) or normal renal function (n = 180) and 78 patients with NODAT who had RI (n = 17) or normal renal function (n = 61). NODAT was diagnosed based on venous fasting blood glucose or HbA1c with the criteria of the American Diabetes Association. Renal insufficiency was defined according to KDOQI 2002 guidelines.

Results

In the NODAT group, the median level of serum adiponectin was lower than that of non‐NODAT one (30 µg/ml vs 37.15 µg/ml, < 0.001); in contrast, the median leptin concentration was higher (4.27 ng/ml vs 4.05 ng/ml, p = 0.024). In the RI group, both median serum adiponectin and leptin levels were higher than those of non‐RI one (Adiponectin: 40.01 µg/ml vs 33.7 µg/ml; Leptin: 4.51 ng/ml vs 3.91 ng/ml, p < 0.001 both). We found that BMI was related to both adiponectin and leptin levels in both NODAT, non‐NODAT, and all subject groups, based on univariate and multivariate linear regression analysis.

Conclusion

New‐onset diabetes after transplantation, BMI, and renal insufficiency were affected to the serum level of adiponectin and leptin in KTRs.

Keywords: adipokines, kidney transplant recipients, NODAT, renal insufficiency


The median adiponectin concentration was lower, while the median leptin concentration was higher in new‐onset diabetes after transplantation (NODAT) group than in non‐NODAT group. Both adiponectin and leptin concentrations were higher in the patients with renal insufficiency compared with those without renal insufficiency. Both NODAT and renal insufficiency were related to the serum level of adiponectin and leptin.

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1. INTRODUCTION

Adipokines are peptides that signal the functional status of adipose tissue to targets in the brain, liver, pancreas, immune system, vasculature, muscle, and other tissues. 1 , 2 Secretion of adipokines, including leptin, adiponectin, vaspin, apelin, and progranulin…, is altered in adipose tissue dysfunction and may contribute to a spectrum of obesity‐associated diseases. 1 Concomitant with the global increase in obesity prevalence in recent decades, there has been an increase in the prevalence of type 2 diabetes mellitus (T2DM). 3 , 4 Furthermore, obesity is a significant risk factor for T2DM and closely related to metabolic disturbances in the adipose tissue that primarily functions as a fat reservoir. 4 New‐onset diabetes mellitus after transplantation (NODAT) is a frequent complication in kidney allograft recipients. 5 , 6 NODAT and T2DM share a common pathophysiology with abnormalities in both insulin sensitivity and insulin secretion. 7 , 8 The most worrying complication of NODAT is major adverse cardiovascular events, which represent a leading cause of morbidity and mortality in transplanted patients. It is also associated with the risk of graft failure. 9 , 10 , 11 As in T2DM patients, adipokines including adiponectin and leptin have a role in the pathogenesis of NODAT and cardiovascular events in NODAT kidney recipients. 12 , 13 , 14 Thus, it was interesting to ask whether serum adiponectin and leptin levels are related to renal insufficiency in renal transplant recipients with or without NODAT or not? We measured serum adiponectin and leptin levels in kidney transplant recipients with normal renal function and renal insufficiency with or without NODAT.

2. PATIENTS AND METHODS

2.1. Subjects

We included 518 end‐stage renal disease patients due to chronic glomerulonephritis (CGN), who transplanted kidney from living donation at Department of Nephrology and Hemodialysis, Military Hospital 103, Ha Noi, Viet Nam during the last 10 years (from January 2010 to December 2020). We excluded patients younger than 18 years at the time of transplantation, those with DM before transplantation. The remaining 314 kidney transplanted patients were provided written informed consent before participating in our study. We also collected all data of clinical characteristics and laboratory parameters at the baseline time of the study.

To find serum adiponectin and leptin levels are related to renal insufficiency in kidney transplant recipients with NODAT, 314 patients were divided into four groups: 236 individuals without NODAT who had RI (n = 56) or normal renal function (n = 180) and 78 patients with NODAT who had RI (n = 17) or normal renal function (n = 61).

Serum adiponectin and leptin were measured by ELISA assay in all the patients using the blood samples, quantified by biochemical indices. Blood samples were centrifuged at 1000 g for 10 min. Plasma specimens were then frozen and stored at −80°C until analysis. Human Adiponectin ELISA kit (Invitrogen by Thermo, United States) and Human Leptin Instant ELISA kit (Invitrogen, United States) plasma levels were measured commercially available ELISAs.

2.2. Definition

New‐onset diabetes after transplantation was detected and diagnosed after kidney transplantation for more than 45 days, based on the criteria of the American Diabetes Association. 15 NODAT was diagnosed when HbA1c was above 6.5% or had fasting hyperglycemia above 7.0 mmol/L (126 mg%). For patients with fasting blood glucose levels between 5.6 and 6.9 mmol/L, fasting oral glucose tolerance will be tested. After 2 h, if the glucose concentration is more than 11.1 mmol/L, the patient is also diagnosed with diabetes.

2.2.1. Renal function evaluation

Renal function was assessed by the estimated creatinine clearance (CrCl) derived from Cockroft‐Gault formula, where CrCl (ml/min) = ([140 − age (years)] × weight (kg))/(0.814 × serum creatinine (μmol/L)), corrected in women by a factor of 0.85. 16 A calculated CrCl <60 ml/min was defined as renal insufficiency (RI), according to KDOQI 2002 guidelines. 17

2.3. Statistical analysis

All the normal distribution and continuous data were represented by mean and standard deviation and were analyzed by the Student t test, one‐way ANOVA, and post hoc Bonferroni test. All the skewed distributions were represented by median (25 percentile–75 percentile), analyzed by the Mann–Whitney U test and Kruskal–Wallis test. Categorical data were presented by the frequency with percentage and were analyzed using the chi‐square test or Friedman Test. To evaluate the correlation between serum adiponectin and leptin levels with other variables such as age, BMI, creatinine, eGFR, CRP…, univariate and multivariate linear regressions were performed. Statistical analysis was done using Statistical Package for Social Science (SPSS) version 20.0. A p‐value < 0.05 was considered significant.

3. RESULTS

The baseline demographic and laboratory characteristics in patients were shown in Table 1. In both groups NODAT and non‐NODAT, eGFR, level of hemoglobin was lower, the concentration of serum adiponectin and leptin in RI group was higher than non‐RI one, < 0.001.

TABLE 1.

Characteristics of clinical and laboratory parameters of patients with NODAT and RI

Characteristics NODAT (n = 78) Non‐NODAT, (n = 236)
RI (n = 17) Non‐RI (n = 61) p RI (n = 56) Non‐RI (n = 180) p
Ages (Average) 48.94 ± 10.74 43.91 ± 11.2 0.105 40.73 ± 10.89 39.52 ± 9.58 0.426
Gender (n, %)
Male 12 (70.6) 41 (67.2) 0.792 43 (76.8) 124 (68.9) 0.257
Female 5 (29.4) 20 (32.8) 13 (23.2) 56 (31.1)
Pretransplant Tx (n, %)
MHD 16 (94.1) 49 (80.3) 0.277 47 (83.9) 153 (85) 0.846
PD 0 (0) 3 (4.9) N/A 3 (5.4) 6 (3.3) 0.446
Non‐dialysis 1 (5.9) 11 (18) 0.446 9 (16.1) 25 (13.9) 0.685
Hepatitis virus infection (n, %)
None infection 15 (88.2) 39 (63.9) 0.264 42 (75) 133 (73.9) 1.000
HBV 1 (5.9) 4 (6.6) 5 (8.9) 15 (8.3)
HCV 1 (5.9) 14 (23) 7 (12.5) 25 (13.9)
HBV + HCV 0 (0) 4 (6.6) 2 (3.6) 7 (3.9)
HLA matching (n, %)
0 0 (0) 2 (3.3) 0.474 2 (3.6) 6 (3.3) 0.205
1 2 (11.8) 7 (11.5) 6 (10.7) 15 (8.3)
2 7 (41.2) 15 (24.6) 10 (17.9) 50 (27.8)
3 4 (23.5) 26 (42.6) 21 (37.5) 79 (43.9)
4 4 (23.5) 8 (13.1) 12 (21.4) 22 (12.2)
5 0 (0) 3 (4.9) 4 (7.1) 4 (2.2)
6 0 (0) 0 (0) 1 (1.8) 4 (2.2)
PRA
Positive (n, %) 1 (5.9) 7 (11.5) 0.678 3 (5.4) 15 (8.3) 0.575
Negative (n, %) 16 (94.1) 54 (88.5) 53 (94.6) 165 (91.7)
Transplantation duration (month) 21.2 (6.68–80.96) 15.6 (6.32–26.65) 0.387 28.45 (9.01–82.00) 17.23 (8.62–29.44) 0.009
BMI (kg/cm2)
<18.5 3 (17.6) 6 (9.8) 0.85 7 (12.5) 37 (20.6) 0.431
18.5–22.9 8 (47.1) 31 (50.8) 37 (66.1) 115 (63.9)
23–<25 3 (17.6) 12 (19.7) 8 (14.3) 16 (8.9)
≥25 3 (17.6) 12 (19.7) 4 (7.1) 12 (6.7)
Average 22.65 ± 5.11 22.42 ± 2.87 0.809 21.49 ± 2.65 20.81 ± 2.59 0.09
Hypertension
Yes (n, %) 17 (100) 43 (70.5) 0.008 46 (82.1) 136 (75.6) 0.305
Non (n, %) 0 (0) 18 (29.5) 10 (17.9) 44 (24.4)
Glucose (mmol/L) 6.22 ± 1.47 6.17 ± 1.82 0.915 5.05 ± 0.64 5.17 ± 0.53 0.176
Urea (mmol/L) 8.44 ± 3,38 5.73 ± 1.42 0.005 9.12 ± 3.19 5.9 ± 1.62 <0.001
Creatinine (µmol/L) 133.2 (124.05–150.9) 90.4 (78.7–103.55) <0.001 141.05 (122.55–175.75) 96.55 (81.37–110.97) <0.001
eGFR (ml/min) 50 (42–54.5) 82 (73–90) <0.001 48 (42–56) 76 (68–86.75) <0.001
Protein (g/L) 70.02 ± 2.79 72.48 ± 4.34 0.031 72.7 ± 5.45 72.32 ± 4.68 0.607
Albumin (g/L) 39.88 ± 2.43 41.5 ± 3.19 0.057 41.09 ± 2.78 41.78 ± 3.1 0.135
CRP (mg/L) 1.74 (1.02–4.27) 1.18 (0.69–2.31) 0.12 1.02 (0.5–2.41) 1.0 (0.4–1.79) 0.234
Uric acid (µmol/L) 475 (348.85–498.55) 369.4 (317–432) 0.014 481.45 (412.72–540.42) 406.35 (345.85–474.92) <0.001
Cholesterol (mmol/L) 5.81 ± 1.48 5.75 ± 1.41 0.884 5.39 ± 1.54 5.07 ± 1.08 0.155
Triglyceride (mmol/L) 2.22 (1.73–2.83) 2.17 (1.66–3.03) 0.942 2.1 (1.42–2.75) 1.64 (1.16–2.13) 0.004
HDL‐C (mmol/L) 1.37 ± 0.53 1.27 ± 0.36 0.356 1.14 ± 0.29 1.27 ± 9.29 0.005
LDL‐C (mmol/L) 3.63 ± 1.02 3.48 ± 0.88 0.56 3.42 ± 1.04 3.17 ± 0.75 0.102
Hemoglobin (g/L) 121.03 ± 25.81 137.4 ± 16.8 0.023 121.46 ± 15.15 138.01 ± 15.69 <0.001
Anemia (n, %) 11 (64.7) 11 (18) <0.001 34 (60.7) 37 (20.6) <0.001
Neoral (n, %) 7 (41.2) 18 (29.5) 0.362 19 (33.9) 28 (15.6) 0.003
Tacrolimus (n, %) 10 (58.8) 42 (68.9) 0.438 37 (66.1) 151 (83.9) 0.004
Adiponectin (µg/ml) 38.6 (20.67–47.22) 27.8 (18.15–38.9) 0.041 40.1 (36.7–46.66) 34.6 (27.25–40.99) <0.001
Leptin (ng/ml) 7.36 (5.86–9.01) 3.91 (2.9–4.79) <0.001 4.3 (3.8–4.77) 3.98 (3.01–4.56) 0.001

Abbreviations: BMI, body mass index; CRP, C reactive protein; eGFR, estimated glomerular filtration Rate; HBV, hepatitis B virus; HCV, hepatitis C virus; HDL‐C, high‐density lipoprotein cholesterol; HLA, human leukocyte antigen; LDL‐C, low‐density lipoprotein cholesterol; MHD, maintenance hemodialysis; NODAT, new‐onset diabetes after transplantation; PD, peritoneal dialysis; PRA, panel‐reactive antibodies; RI, renal insufficiency; Tx, treatment.

Italic values are significant with p < 0.05.

Table 2 showed that serum adiponectin level was lower, but serum leptin was higher in NODAT than those of non‐NODAT, < 0.001 and = 0.024. However, serum adiponectin and leptin concentration in the RI group were higher than in the non‐RI one, < 0.001.

TABLE 2.

Comparisons of serum adiponectin and leptin divided by NODAT and RI

NODAT (n = 78) Non‐NODAT (n = 236) p
Adiponectin (µg/ml) 30 (18.29–40.07) 37.15 (29.89–42.3) <0.001
Leptin (ng/ml) 4.27 (3.09–6.55) 4.05 (3.19–4.65) 0.024
RI (n = 73) Non‐RI (n = 240) p
Adiponectin (µg/ml) 40.01 (33.94–46.63) 33.7 (24.87–40.9) <0.001
Leptin (ng/ml) 4.51 (4.03–6.56) 3.91 (2.96–4.6) <0.001

Abbreviations: NODAT: new‐onset diabetes after transplantation; RI: renal insufficiency.

Italic values are significant with p < 0.05.

The univariate linear regression analysis results showed a significant negative correlation between serum adiponectin with BMI, eGFR, and serum albumin, and a significant positive correlation between serum adiponectin with serum urea, creatinine, and uric acid was detected in both NODAT and non‐NODAT groups, < 0.05. Additionally, there was a positive correlation and an inversely one between serum adiponectin and the duration of kidney transplant or serum CRP in all subjects, < 0.05. When evaluating factors by multivariate linear regression, we found that BMI, CRP, cholesterol, and triglyceride were related to adiponectin levels in the NODAT group; BMI was related to adiponectin level in the non‐NODAT group; and BMI, CRP, uric acid, cholesterol, and triglyceride were related to adiponectin levels in both two group (Table 3).

TABLE 3.

Single univariate and multivariate linear regression of factors associated with serum adiponectin levels

Characteristic NODAT group
Single univariate linear Multivariate linear
r p R Adjusted R 2 p ANOVA p
Age 0.168 0.141 0.607 0.203 0.013 0.828
BMI −0.307 0.006 0.009
Transplantation duration 0.059 0.605 0.989
Urea 0.277 0.014 0.462
Creatinine 0.246 0.03 0.694
eGFR −0.288 0.01 0.172
Protein −0.184 0.106 0.843
Albumin −0.235 0.039 0.183
CRP −0.218 0.055 0.022
Uric acid 0.245 0.031 0.256
Cholesterol −0.034 0.766 0.045
Triglyceride −0.152 0.183 0.022
HDL‐C 0.104 0.367 0.083
LDL‐C −0.037 0.747 0.062
Hemoglobin −0.034 0.765 0.933
Leptin 0.16 0.16 0.18
Non‐NODAT group
Single univariate linear Multivariate linear
r p R Adjusted R 2 p ANOVA p
Age −0.078 0.232 0.346 0.055 0.026 0.331
BMI −0.153 0.018 0.004
Transplantation duration 0.161 0.013 0.078
Urea 0.157 0.016 0.482
Creatinine 0.162 0.013 0.686
eGFR −0.16 0.014 0.35
Protein −0.016 0.811 0.608
Albumin −0.054 0.413 0.657
CRP −0.123 0.06 0.136
Uric acid 0.105 0.109 0.529
Cholesterol 0.028 0.667 0.27
Triglyceride 0.023 0.728 0.387
HDL‐C −0.015 0.819 0.52
LDL‐C 0.01 0.88 0.379
Hemoglobin −0.144 0.027 0.728
Leptin 0.024 0.719 0.176
All subjects
Single univariate linear Multivariate linear
r p R Adjusted R 2 p ANOVA p
Age −0.055 0.331 0.45 0.159 <0.001 0.345
BMI −0.25 <0.001 <0.001
Transplantation duration 0.128 0.024 0.171
Urea 0.196 <0.001 0.669
Creatinine 0.199 <0.001 0.464
eGFR −0.208 <0.001 0.051
Protein −0.045 0.424 0.864
Albumin −0.085 0.131 0.246
CRP −0.186 0.001 0.002
Uric acid 0.179 0.001 0.041
Cholesterol −0.043 0.446 0.046
Triglyceride −0.1 0.078 0.012
HDL‐C 0.007 0.903 0.154
LDL‐C −0.039 0.492 0.084
Hemoglobin −0.104 0.065 0.951
Leptin 0.014 0.81 0.13

Abbreviations: BMI, body mass index; CRP, C‐reactive protein; eGFR, estimated glomerular filtration rate; HDL‐C, high‐density lipoprotein cholesterol; LDL‐C, low‐density lipoprotein cholesterol; NODAT, new‐onset diabetes after transplantation.

Italic values are significant with p < 0.05.

As the results in Table 4, for serum leptin, a positive correlation with BMI, serum urea, creatinine, uric acid, LDL‐C, and an inversely one with eGFR in both NODAT and the non‐NODAT group was found with < 0.05. We also found a positive correlation with serum cholesterol, triglyceride, and LDL‐C in all subjects, < 0.05 (univariate linear regression results). The multivariate linear regression analysis results showed BMI was the only factor related to leptin level in both NODAT, non‐NODAT, and all subject groups.

TABLE 4.

Single univariate linear correlations of factors associated with serum leptin levels

Characteristic NODAT group
Single univariate linear Multivariate linear
r p R Adjusted R 2 p ANOVA p
Age 0.04 0.731 0.688 0.336 <0.001 0.539
BMI 0.336 0.003 0.001
Transplantation duration 0.103 0.37 0.402
Urea 0.235 0.039 0.059
Creatinine 0.258 0.022 0.665
eGFR −0.312 0.005 0.216
Protein −0.016 0.89 0.533
Albumin −0.031 0.785 0.673
CRP −0.041 0.722 0.902
Uric acid 0.23 0.043 0.306
Cholesterol 0.186 0.103 0.467
Triglyceride 0.054 0.64 0.336
HDL‐C 0.028 0.809 0.233
LDL‐C 0.246 0.03 0.165
Hemoglobin −0.188 0.1 0.4
Adiponectin 0.16 0.16 0.18
Non‐NODAT group
Single univariate linear Multivariate linear
r p R Adjusted R 2 p ANOVA p
Age 0.13 0.047 0.573 0.279 <0.001 0.793
BMI 0.518 <0.001 <0.001
Transplantation duration 0.04 0.538 0.19
Urea 0.198 0.002 0.557
Creatinine 0.153 0.019 0.666
eGFR −0.214 0.001 0.558
Protein 0.057 0.384 0.398
Albumin −0.063 0.338 0.166
CRP 0.006 0.926 0.084
Uric acid 0.115 0.078 0.261
Cholesterol 0.169 0.009 0.249
Triglyceride 0.117 0.074 0.36
HDL‐C −0.068 0.302 0.547
LDL‐C 0.176 0.007 0.165
Hemoglobin −0.076 0.249 0.755
Adiponectin 0.024 0.719 0.176
All subjects
Single univariate linear Multivariate linear
r p R Adjusted R 2 p ANOVA p
Age 0.128 0.024 0.548 0.262 <0.001 0.664
BMI 0.46 <0.001 <0.001
Transplantation duration 0.06 0.292 0.633
Urea 0.184 0.001 0.152
Creatinine 0.162 0.004 0.816
eGFR −0.225 <0.001 0.261
Protein 0.022 0.693 0.484
Albumin −0.061 0.285 0.305
CRP 0.003 0.951 0.528
Uric acid 0.119 0.035 0.684
Cholesterol 0.204 <0.001 0.174
Triglyceride 0.115 0.042 0.084
HDL‐C −0.009 0.87 0.136
LDL‐C 0.218 <0.001 0.089
Hemoglobin −0.119 0.036 0.524
Adiponectin 0.014 0.81 0.13

Abbreviations: BMI, body mass index; CRP, C‐reactive protein; eGFR, estimated glomerular filtration rate; HDL‐C, high‐density lipoprotein cholesterol; LDL‐C, low‐density lipoprotein cholesterol; NODAT, new‐onset diabetes after transplantation.

Italic values are significant with p < 0.05.

4. DISCUSSION

4.1. The concentration of serum adiponectin and leptin in renal transplant recipients

The liver primarily excretes adiponectin; however, only monomers and dimers may cross the glomerular filtration barrier and be found in urine due to the high molecular weight of the adiponectin monomer (28 kDa). 18 , 19 Many previous studies have reported elevated serum adiponectin concentrations in patients with chronic kidney disease. 20 , 21 , 22 Some main mechanisms can decrease renal adiponectin clearance 23 or respond to metabolic disorders in renal dysfunction. 24 Adiponectin is present in the kidneys, mainly in the arterial endothelium, smooth muscle cells, and capillary endothelium. The epithelial cells of proximal and distal tubules increase secretion when the kidney is damaged. 25 , 26 There is still an increase in serum adiponectin levels in kidney recipients related to factors such as their altered nutritional and immune status and subsequent dysregulation of adipocytokine metabolism. 27 In our study, the median adiponectin concentration in the NODAT group was 30 µg/ml, significantly lower than that of the non‐NODAT patient group (37.15 µg/ml), p < 0.001, (Table 2). The pathogenesis of NODAT is similar to that of type 2 diabetes (T2DM), which increased insulin resistance and decreased pancreatic beta‐cell function. 15 Adiponectin has traditionally been associated with insulin sensitization, reducing liver gluconeogenesis, and increasing fatty acid oxidation and glucose uptake. 19 We found an inverse correlation between circulating adiponectin levels and BMI in NODAT and non‐NODAT patients, p < 0.05 (Table 3). However, we only saw a significant negative correlation between plasma adiponectin and CRP levels in the group of patients after kidney transplantation, but not in the NODAT or non‐NODAT group alone (Table 3). Serra et al. 28 also confirmed that increased serum adiponectin levels were associated with weight loss and decreased serum CRP levels in a study of obese patients undergoing bariatric surgery. Thus, even in post‐renal transplant patients (who must take anti‐rejection drugs for life) with or without NODAT, an inverse association between adiponectin and obesity and inflammation was persisted.

In contrast to adiponectin, serum leptin concentration in the NODAT group was significantly higher than in the non‐NODAT group (Median level: 4.27 ng/ml versus 4.04 ng/ml), p = 0.024 (Table 2). Kagan et al. 29 demonstrated elevated leptin serum concentrations in kidney transplant recipients. These authors suggested that increased leptin in post‐renal transplant patients is related to leptin overproduction rather than the shortage of leptin degradation. Circulating leptin has a role in predicting patient outcomes after kidney transplantation: low concentrations predict loss of transplant kidney function and predict all‐cause mortality. 30 Elevated leptin levels are associated with insulin resistance and T2DM as well as NODAT development. 31 , 32 There is evidence linking high leptin levels with the presence, severity, and/or prognosis of coronary heart disease, stroke, peripheral artery disease, carotid artery disease, and T2DM. 33 The above‐mentioned associations of leptin with the above conditions may be explained by the pathophysiological mechanisms affected by leptin that predispose to these diseases, including vascular inflammation, oxidative stress, endothelial dysfunction, cardiac remodeling, and insulin resistance. 33

Interestingly, we found a positive correlation between leptin concentration and BMI and LDL‐c concentration in patients after kidney transplantation in both NODAT and non‐NODAT groups, p < 0.05 (Table 4). The association between obesity, LDL‐C, and leptin synthesis has also been mentioned previously. 34 , 35 Houde et al. 34 reported an association between LDL‐C concentration and leptin DNA methylation level in obese men and women, suggesting that LDL‐C might regulate their epigenetic profiles in adipose tissues.

4.2. Association between serum adiponectin, leptin, and renal function

In post‐renal transplant patients (both NODAT and non‐NODAT), circulating adiponectin and leptin concentrations were related to renal function. The concentration of adiponectin and leptin in the RI patients was higher than in the group of the non‐RI ones, p < 0.001 (Table 2). A negative correlation between adiponectin, leptin, and eGFR was detected in both NODAT and non‐NODAT groups, p < 0.05 (Tables 3 and 4). Leptin and adiponectin are significantly positively associated with the severity of chronic kidney disease (CKD) measured by eGFR. 36 Increased synthesis and decreased excretion are the two leading causes of increased circulating adiponectin and leptin levels in CKD patients with and without decreased GFR, as well as diabetic nephropathy. Despite a negative metabolic status, patients with end‐stage renal disease have two to three times higher serum adiponectin levels than subjects with normal kidney function. 19 Adamczak et al. 37 pointed out that factors contributing to lower adiponectin secretion are oxidative stress and sympathetic nervous activity, common in chronic kidney disease. Adiponectin is considered a marker of kidney injury and risk of disease progression, and it was a multipotential protein with anti‐inflammatory, metabolic, anti‐atherogenic, and reactive oxygen species protective actions. 19 , 37 Adiponectin presumably has a protective role in cardiovascular diseases' pathogenesis, the leading cause of morbidity and mortality among kidney transplant recipients (KTRs). 27 An inverse correlation between adiponectin, inflammation, and nutrition in KTRs was also announced. 38 Serum leptin concentrations are elevated in CKD patients and correlate with C‐reactive protein levels suggesting that inflammation is an essential factor that contributes to hyperleptinemia in CKD. Hyperleptinemia may be necessary for the pathogenesis of inflammation‐associated cachexia in CKD. 39 However, observational studies have not found an association between leptin and inflammation in KTRs, 27 which is once again confirmed in our research results (Table 4).

Our study had a good performance point with a relatively large sample size of both KTRs with and without NODAT, but there are still limitations. Firstly, adiponectin and leptin levels were examined only at a single point in time. Secondly, the study has not been performed in the above adipokines of healthy control group, so multivariate analysis and the influence of factors such as age, sex, BMI, and eGFR on adipokines levels were not confirmed. Thirdly, the study has not evaluated the role of these adipokines in the prognosis of CVD events occurring in patients after kidney transplantation.

5. CONCLUSION

Both NODAT and renal insufficiency were affected to the serum level of adiponectin and leptin, in which the concentration of adiponectin was lower, while leptin was higher in NODAT patients than in non‐NODAT ones (p < 0.001 and = 0.024; separately). Both adiponectin and leptin concentrations increased in the patients with renal insufficiency compared with those without renal insufficiency in kidney transplant recipients, p < 0.001.

6. SUMMARY POINTS

  • The median adiponectin concentration was lower, while the median leptin concentration was higher in the NODAT group than in the non‐NODAT group.

  • Both adiponectin and leptin concentrations were higher in the patients with renal insufficiency than those without renal insufficiency.

  • Both NODAT and renal insufficiency were related to the serum level of adiponectin and leptin.

CONFLICTS OF INTEREST

The authors declare no conflict of interest, financial, or otherwise.

HUMAN AND ANIMAL RIGHTS

Animals did not participate in this research. All human research procedures followed the ethical standards of the committee responsible for human experimentation (institutional and national), and with the Helsinki Declaration of 1975, as revised in 2008.

CONSENT FOR PUBLICATION

Informed consent was obtained from all participants.

Pham Vu T, Can Van M, Dang Thanh C, et al. Association of serum adiponectin and leptin levels with renal function in kidney transplant recipients with or without new‐onset diabetes after transplantation. J Clin Lab Anal. 2021;35:e24000. 10.1002/jcla.24000

Thuy PV and Mao CV shared the first co‐author.

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available from the corresponding author upon reasonable request.

REFERENCES

  • 1. Fasshauer M, Blüher M. Adipokines in health and disease. Trends Pharmacol Sci. 2015;36(7):461‐470. 10.1016/j.tips.2015.04.014 [DOI] [PubMed] [Google Scholar]
  • 2. Lee TH, Cheng KK, Hoo RL, et al. The novel perspectives of adipokines on brain health. Int J Mol Sci. 2019;20(22):5638. 10.3390/ijms20225638 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Burhans MS, Hagman DK, Kuzma JN, et al. Contribution of adipose tissue inflammation to the development of type2 diabetes mellitus. Compr Physiol. 2018;9(1):1‐58. 10.1002/cphy.c170040 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Achari AE, Jain SK. Adiponectin, a therapeutic target for obesity, diabetes, and endothelial dysfunction. Int J Mol Sci. 2017;18(6):1321. 10.3390/ijms18061321 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Palepu S, Prasad GV. New‐onset diabetes mellitus after kidney transplantation: current status and future directions. World J Diabetes. 2015;6(3):445‐455. 10.4239/wjd.v6.i3.445 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Ponticelli C, Favi E, Ferraresso M. New‐onset diabetes after kidney transplantation. Medicina (Kaunas). 2021;57(3):250. 10.3390/medicina57030250 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Bodziak KA, Hricik DE. New‐onset diabetes mellitus after solid organ transplantation. Transpl Int. 2009;22(5):519‐530. 10.1111/j.1432-2277.2008.00800.x [DOI] [PubMed] [Google Scholar]
  • 8. Xia M, Yang H, Tong X, et al. Risk factors for new‐onset diabetes mellitus after kidney transplantation: a systematic review and meta‐analysis. J Diabetes Investig. 2021;12(1):109‐122. 10.1111/jdi.13317 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Rodrigo E, Fernández‐Fresnedo G, Valero R, et al. New‐onset diabetes after kidney transplantation: risk factors. J Am Soc Nephrol. 2006;17(12 Suppl 3):S291‐S295. 10.1681/ASN.2006080929 [DOI] [PubMed] [Google Scholar]
  • 10. Yates CJ, Fourlanos S, Hjelmesaeth J, et al. New‐onset diabetes after kidney transplantation‐changes and challenges. Am J Transplant. 2012;12(4):820‐828. 10.1111/j.1600-6143.2011.03855.x [DOI] [PubMed] [Google Scholar]
  • 11. Juan Khong M, Ping Chong CH. Prevention and management of new‐onset diabetes mellitus in kidney transplantation. Neth J Med. 2014;72(3):127‐134. [PubMed] [Google Scholar]
  • 12. Bayés B, Granada ML, Pastor MC, et al. obesity, adiponectin and inflammation as predictors of new‐onset diabetes mellitus after kidney transplantation. Am J Transplant. 2007;7(2):416‐422. 10.1111/j.1600-6143.2006.01646.x [DOI] [PubMed] [Google Scholar]
  • 13. Nishimura K, Kishikawa H, Kato T, et al. Tacrolimus and angiotensin receptor blockers associated with changes in serum adiponectin level in new‐onset diabetes after renal transplantation: single‐center cross‐sectional analysis. Transpl Int. 2009;22(7):694‐701. 10.1111/j.1432-2277.2009.00849.x [DOI] [PubMed] [Google Scholar]
  • 14. Adachi H, Fujimoto K, Fujii A, et al. Long‐term retrospective observation study to evaluate effects of adiponectin on skeletal muscle in renal transplant recipients. Sci Rep. 2020;10(1):10723. 10.1038/s41598-020-67711-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. American Diabetes Association . Classification and diagnosis of diabetes. Diabetes Care. 2017;40:S11‐S24. [DOI] [PubMed] [Google Scholar]
  • 16. Cockcroft DW & Gault H. Prediction of Creatinine Clearance from Serum Creatinine. Nephron. 1976;16(1):31‐41. 10.1159/000180580 [DOI] [PubMed] [Google Scholar]
  • 17. National Kidney Foundation . K/DOQI Clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis. 2002;39(2 Suppl 1):S1‐S266. [PubMed] [Google Scholar]
  • 18. Halberg N, Schraw TD, Wang ZV, et al. Systemic fate of the adipocyte‐derived factor adiponectin. Diabetes. 2009;58:1961‐1970. 10.2337/db08-1750 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Przybyciński J, Dziedziejko V, Puchałowicz K, et al. Adiponectin in chronic kidney disease. Int J Mol Sci. 2020;21(24):9375. 10.3390/ijms21249375 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Kim HY, Bae EH, Ma SK, et al. association of serum adiponectin level with albuminuria in chronic kidney disease patients. Clin Exp Nephrol. 2016;20(3):443‐449. 10.1007/s10157-015-1173-4 [DOI] [PubMed] [Google Scholar]
  • 21. Rhee CM, Nguyen DV, Moradi H, et al. Association of adiponectin with body composition and mortality in hemodialysis patients. Am J Kidney Dis. 2015;66(2):313‐321. 10.1053/j.ajkd.2015.02.325 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Song SH, Oh TR, Choi HS, et al. High serum adiponectin as a biomarker of renal dysfunction: results from the KNOW‐CKD study. Sci Rep. 2020;10(1):5598. 10.1038/s41598-020-62465-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Isobe T, Saitoh S, Takagi S, et al. Influence of gender, age and renal function on plasma adiponectin level: the Tanno and Sobetsu study. Eur J Endocrinol. 2005;153(1):91‐98. 10.1530/eje.1.01930 [DOI] [PubMed] [Google Scholar]
  • 24. Zoccali C, Mallamaci F, Panuccio V, et al. Adiponectin is markedly increased in patients with nephrotic syndrome and is related to metabolic risk factors. Kidney Int Suppl. 2003;84:S98‐S102. [DOI] [PubMed] [Google Scholar]
  • 25. Christou GA, Kiortsis DN. The role of adiponectin in renal physiology and development of albuminuria. J Endocrinol. 2014;221:R49‐R61. 10.1530/JOE-13-0578 [DOI] [PubMed] [Google Scholar]
  • 26. Perri A, Vizza D, Lofaro D, et al. adiponectin is expressed and secreted by renal tubular epithelial cells. J Nephrol. 2013;26:1049‐1054. 10.5301/jn.5000269 [DOI] [PubMed] [Google Scholar]
  • 27. Nagy K, Nagaraju SP, Rhee CM, et al. Adipocytokines in renal transplant recipients. Clin Kidney J. 2016;9(3):359‐373. 10.1093/ckj/sfv156 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Serra A, Granada ML, Romero R, et al. The effect of bariatric surgery on adipocytokines, renal parameters and other cardiovascular risk factors in severe and very severe obesity: 1‐year follow‐up. Clin Nutr. 2006;25(3):400‐408. 10.1016/j.clnu.2005.11.014 [DOI] [PubMed] [Google Scholar]
  • 29. Kagan A, Haran N, Leschinsky L, et al. Serum concentrations of leptin in heart liver and kidney transplant recipients. IMAJ. 2002;4:213‐217. [PubMed] [Google Scholar]
  • 30. Molnar MZ, Nagy K, Remport A, et al. Association between serum leptin level and mortality in kidneytransplant recipients. J Ren Nutr. 2017;27(1):53‐61. 10.1053/j.jrn.2016.08.008 [DOI] [PubMed] [Google Scholar]
  • 31. Andrade‐Oliveira V, Câmara NO, Moraes‐Vieira PM. Adipokines as drug targets in diabetes and underlying disturbances. J Diabetes Res. 2015;2015: 681612. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Guad RM, Taylor‐Robinson AW, Wu YS, et al. Clinical and genetic risk factors for new‐onset diabetes mellitus after transplantation (NODAT) in major transplant centres in Malaysia. BMC Nephrol. 2020;21(1):388. 10.1186/s12882-020-02052-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Katsiki N, Mikhailidis DP, Banach M. Leptin, cardiovascular diseases and type 2 diabetes mellitus. Acta Pharmacol Sin. 2018;39(7):1176‐1188. 10.1038/aps.2018.40 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Houde AA, Légaré C, Biron S, et al. Leptin and adiponectin DNA methylation levels in adipose tissues and blood cells are associated with BMI, waist girth and LDL‐cholesterol levels in severely obese men and women. BMC Med Genet. 2015;1(16):29. 10.1186/s12881-015-0174-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Zarrati M, Aboutaleb N, Cheshmazar E, et al. The association of obesity and serum leptin levels with complete blood count and some serum biochemical parameters in Iranian overweight and obese individuals. Med J Islam Repub Iran. 2019;33:72. 10.34171/mjiri.33.72 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Mills KT, Hamm LL, Alper AB, et al. Circulating adipocytokines and chronic kidney disease. PLoS One. 2013;8(10):e76902. 10.1371/journal.pone.0076902 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Adamczak M, Chudek J, Wiecek A. Adiponectin in patients with chronic kidney disease. Semin Dial. 2009;22:391‐395. 10.1111/j.1525-139X.2009.00587.x [DOI] [PubMed] [Google Scholar]
  • 38. Kaisar MO, Armstrong K, Hawley C, et al. adiponectin is associated with cardiovascular disease in male renal transplant recipients: baseline results from the LANDMARK 2 study. BMC Nephrol. 2009;10:29. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Mak RH, Cheung W, Cone RD, et al. leptin and inflammation‐associated cachexia in chronic kidney disease. Kidney Int. 2006;69(5):794‐797. 10.1038/sj.ki.5000182 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.


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