Omentin-1 and NAMPT serum concentrations are higher and CK-18 levels are lower in children and adolescents with type 1 diabetes when compared to healthy age, sex and BMI matched controls
-
Esra Nurten
, Mandy Vogel , Thomas Michael Kapellen , Sandy Richter , Antje Garten , Melanie Penke , Susanne Schuster , Antje Körner , Wieland Kiess and Jürgen Kratzsch
Abstract
Background
Adipokines were shown to affect glucose homeostasis and β-cell function in patients with pancreatic dysfunction which is associated with changes in the adipose tissue secretory profile. However, information about adipokines associated with β-cell dysfunction is lacking in pediatric patients with type 1 diabetes.
Methods
(1) We compared serum concentrations of nicotinamide phosphoribosyltransferase (NAMPT), omentin-1 and caspase-cleaved cytokeratin 18 fragment M30 (CK-18) in pediatric type 1 diabetes patients (n=245) and healthy age, sex and body mass index standard deviation score (BMI-SDS) matched controls (n=243). (2) We investigated the influence of insulin treatment on serum concentrations of NAMPT, omentin-1 and CK-18 in groups of patients with type 1 diabetes stratified according to the duration of their disease: at onset (n=50), ≥6 months and <5 years (n=185), ≥5 and <10 years (n=98), and ≥10 years (n=52).
Results
Patients at onset compared with healthy controls demonstrated no significant differences in NAMPT levels (p=0.129), whereas omentin-1 levels were elevated (p<0.001) and CK-18 levels were lowered (p=0.034). In contrast, NAMPT and omentin-1 were elevated and CK-18 serum levels were lower in longstanding patients compared to healthy controls (p<0.001). NAMPT serum levels did not change significantly during the duration of type 1 diabetes (p=0.546). At onset, omentin-1 and CK-18 levels were higher than in any group of longstanding type 1 diabetes (p<0.025).
Conclusions
Altered serum levels of NAMPT, omentin-1 and CK-18 in pediatric type 1 diabetes patients indicate metabolic changes caused by adipose tissue dysregulation which do not normalize during insulin therapy.
Introduction
Adipokines were shown to affect glucose homeostasis and β-cell function in patients with pancreatic dysfunction [1]. They may represent a potential link between white adipose tissue and pancreatic β-cells, especially in type 1 diabetes patients. Vice versa, destruction of β-cell function in pediatric type 1 diabetes patients results in alterations of metabolic state and adipokine profile [2]. Furthermore, the disturbed β-cell function in these patients may frequently be associated with overweight; especially patients below 6 years of age and girls show increased body mass indexes (BMIs) [3] and a chronic systemic low-grade inflammatory process [4]. Due to these pathophysiological processes, the altered secretory profile of adipokines may deliver potential implications for diagnostic and therapeutical use.
We assume that type 1 diabetes in children causes changes in adipose tissue mass, structure and function, which consecutively contributes to altered secretion patterns of adipokines relevant to β-cell function. We also assume that obesity and inflamed adipose tissue cause an impaired function of β-cells. Not only the lack of endogenous insulin during onset of type 1 diabetes complicates the interaction between different metabolically active organs such as pancreas, liver and adipose tissue, but also long-term changes affect serum concentrations of adipokines. Therefore we asked if changed secretory profiles of adipokines, namely nicotinamide phosphoribosyltransferase (NAMPT), omentin-1 and caspase-cleaved cytokeratin 18 fragment M30 (CK-18), may be associated with alterations in the clinical course of type 1 diabetes.
NAMPT is a rate limiting enzyme of nicotinamide adenine dinucleotide (NAD) biosynthesis and exists in two forms with pleiotropic functions: intracellular NAMPT (iNAMPT) and extracellular NAMPT (eNAMPT) [[5], [[6]. iNAMPT and its product nicotinamide mononucleotide (NMN) potentiate glucose stimulated insulin secretion 7], which could play a role during progression of insulin deficiency in type 1 diabetes. eNAMPT is mainly secreted by leukocytes, but also by hepatocytes and adipocytes [8]. Release of NAMPT by adipocytes was shown to influence whole-body energy metabolism in mouse models of diet-induced obesity and aging [9], [10]. NAMPT could even play a bigger role in the pathogenesis of type 1 diabetes as a signaling mediator between metabolically active organs. eNAMPT may also contribute to high cellular NAD levels despite intracellular energy depletion. Potentially being a pro-inflammatory adipokine, changes in NAMPT serum concentrations in long-term type 1 diabetes patients may be resulting from metabolic sequels in these patients too. Previous studies showed increased [11], [12], [13] or decreased NAMPT levels 14] as well as no associations in type 1 diabetes [15].
Omentin-1 may enhance insulin-stimulated glucose transport in adipocytes and modulate protein kinase B (AKT) phosphorylation by insulin, but does not affect the basal adipocyte glucose uptake [[16]. Elevated serum concentrations of omentin-1 could potentially indicate a favorable status in type 1 diabetes patients by supporting adipocytes to utilize exogenously supplemented insulin. Previous reports of serum omentin-1 levels among children were inconsistent [[17], [18], [19], [20]. Interestingly, lowered omentin-1 serum concentrations in obese children with new onset 13] or with longstanding type 1 diabetes 1] were influenced by disease duration, hemoglobin A1c (HbA1c) and BMI as well as postprandially secreted molecules.
Finally, we assume that pediatric patients with type 1 diabetes could be at risk for developing metabolic sequels such as non-alcoholic fatty liver disease (NAFLD) because of their susceptibility to acquire insulin resistance, abnormal lipid and adipokine profiles. CK-18 was found to be a biomarker specifically liberated from apoptotic hepatocytes [21] identifying children with obesity-related NAFLD [22].
Taken together, we hypothesize the following response of the adipokines NAMPT, omentin-1 and CK-18 in pediatric patients with type 1 diabetes: firstly, an up-regulation of eNAMPT may represent a compensatory mechanism especially by adipocytes for recovering insulin deficiency via NMN in order to counteract hyperglycemia [6]. Accordingly, NAMPT could be evaluated as a major factor conveying signals between adipose tissue and pancreatic β-cells or mediating actions of exogenously administered insulin. Secondly, elevated omentin-1 serum concentrations could indicate a metabolically favorable status. Thirdly, elevated CK-18 levels may be an early indicator of a beginning NAFLD caused by chronic systemic low-grade inflammation.
Materials and methods
Design, subjects and materials
We investigated a total of n=245 patients with type 1 diabetes; 385 blood samplings were performed including follow-up examinations. We compared type 1 diabetes patients to healthy age, sex and BMI matched controls. We also compared type 1 diabetes patients among each other according to different disease durations. Diagnosis of type 1 diabetes was confirmed according to the criteria of the American Diabetes Association [23]. All patients presented with clinical features of type 1 diabetes, additionally showing hyperglycemia and positive testing for auto-antibodies. Diabetic ketoacidosis (defined as blood glucose >11.0 mmol/L and pH <7.30 or bicarbonate <15 mEq/L) was found only in three patients at new onset of the disease [24]. Type 1 diabetes patients were treated at the Hospital for Children and Adolescents of the University of Leipzig. All participants for the healthy control population were recruited from the Leipzig Research Center for Civilization Diseases (LIFE) child study [25], [26]. The matching criteria included: age±3 months, sex and BMI±0.1 SDS to the nearest decimal.
We investigated adipocytokine serum concentrations in 245 type 1 diabetes patients using 253 blood samples (eight participants were examined at two different examination dates and thus were matched twice independently for each examination date) and compared them to 243 healthy matched controls. The two subgroups of type 1 diabetes patients included: patients at new onset (n=50) and with longstanding diabetes (n=203) matched with healthy controls (n=46 at onset and n=197 for the longstanding group). The anthropometric and biochemical characteristics of patients and matched controls are shown in Table 1.
Demographic characteristics and laboratory parameters of children with type 1 diabetes and their healthy age, sex and BMI-SDS matched controls (mean±standard deviation [SD]).
| Parameters | Onset T1D | Controls | p-Value | Chronic T1D | Controls | p-Value |
|---|---|---|---|---|---|---|
| Sex, F/M | 22/28 | 20/26 | 0.959 | 88/115 | 83/114 | 0.806 |
| Age, years | 9.6±4.6 | 9.6±4.3 | 0.980 | 13.0±3.9 | 13.2±3.9 | 0.617 |
| Height-SDS | 0.11±1.08 | −0.05±1.06 | 0.468 | 0.10±1.01 | −0.01±1.09 | 0.280 |
| BMI-SDS | −0.58±1.22 | −0.45±1.06 | 0.593 | 0.39±0.92 | 0.41±0.95 | 0.831 |
| Puberty (Tanner) | ||||||
| Not reported | 24 | 9 | 145 | 46 | ||
| 1/2/3/4/5 | 17/5/2/0/2 | 21/5/4/3/4 | 0.275 | 32/4/1/0/21 | 48/22/16/19/46 | 0.159 |
| Duration of T1D, years | 4.7±3.4 | |||||
| Blood glucose, mmol/L | 23.47±11.01 | 4.62±0.41 | <0.001 | 9.91±5.99 | 4.78±0.39 | <0.001 |
| Cumulative HbA1c, % | 10.87±2.36 | 5.12±0.33 | <0.001 | 8.16±1.55 | 5.07±0.31 | <0.001 |
| Triglycerides, mmol/L | 2.73±2.98 | 0.70±0.33 | <0.001 | 1.27±1.17 | 0.84±0.44 | <0.001 |
| Total cholesterol, mmol/L | 4.68±1.21 | 4.00±0.63 | 0.001 | 4.53±0.89 | 4.17±0.75 | <0.001 |
| HDL cholesterol, mmol/L | 1.23±0.37 | 1.60±0.42 | <0.001 | 1.69±0.39 | 1.55±0.34 | <0.001 |
| LDL cholesterol, mmol/L | 2.57±0.91 | 2.27±0.61 | 0.067 | 2.42±0.66 | 2.43±0.64 | 0.891 |
| ALT, μkat/L | 2.14±8.40 | 0.31±0.12 | 0.329 | 0.29±0.12 | 0.33±0.16 | 0.001 |
| AST, μkat/L | 1.14±3.27 | 0.54±0.18 | 0.413 | 0.57±1.95 | 0.4±0.13 | 0.467 |
| GGT, μkat/L | 0.95±2.44 | 0.20±0.05 | 0.308 | 0.25±0.43 | 0.23±0.10 | 0.532 |
T1D, type 1 diabetes mellitus; BMI-SDS, body mass index standard deviation score; HbA1c, hemoglobin A1c; HDL, high density lipoprotein; LDL, low density lipoprotein; ALT, alanine aminotransferase; AST, aspartate aminotransferase; GGT, γ-glutamyl transferase. Cumulative HbA1c [%], mean of the existing HbA1c values in the last examination year. Data were analyzed using Student’s t-test.
Type 1 diabetes patients (n=245, 385 follow-up blood samplings) were divided into four subgroups according to the duration of the disease:
onset of type 1 diabetes prior to treatment (n=50)
6 months to 5 years after onset (n=185)
5–10 years (n=98)
≥10 years (n=52).
The anthropometric and biochemical characteristics of these patients are summarized in Table 2.
Demographic characteristics and laboratory parameters of children with type 1 diabetes according to their diabetes duration (mean±standard deviation [SD]).
| Parameters | Onset T1D | >6 months | >5 years | >10 years | p-Value |
|---|---|---|---|---|---|
| Sex, F/M | 22/28 | 85/100 | 45/53 | 13/39 | 0.048 |
| Age, years | 9.6±4.6 | 11.9±4.1 | 13.1±3.4 | 16.4±2.0 | <0.001 |
| Height-SDS | 0.11±1.08 | 0.25±1.01 | 0.18±0.93 | −0.28±1.01 | 0.010 |
| BMI-SDS | −0.58±1.22 | 0.37±0.91 | 0.34±1.04 | 0.14±0.78 | <0.001 |
| Puberty (Tanner) | |||||
| Not reported | 24 | 127 | 74 | 40 | |
| 1/2/3/4/5 | 17/5/2/0/2 | 42/4/1/0/11 | 18/1/0/0/5 | 1/1/0/1/9 | <0.001 |
| Duration of T1D, years | 0.0 | 2.8±1.2 | 6.9±1.4 | 12.4±1.7 | <0.001 |
| Blood glucose, mmol/L | 23.47±11.01 | 9.5±5.4 | 10.3±6.6 | 9.8±6.6 | <0.001 |
| Cumulative HbA1c, % | 10.9±2.35 | 7.78±1.15 | 8.42±1.93 | 8.71±1.43 | <0.001 |
| Triglycerides, mmol/L | 2.73±2.98 | 1.16±1.17 | 1.21±0.68 | 1.71±1.86 | <0.001 |
| Total cholesterol, mmol/L | 4.68±1.21 | 4.46±0.88 | 4.55±0.77 | 4.59±0.99 | 0.507 |
| HDL cholesterol, mmol/L | 1.23±0.37 | 1.72±0.38 | 1.71±0.44 | 1.49±0.35 | <0.001 |
| LDL cholesterol, mmol/L | 2.57±0.91 | 2.34±0.65 | 2.44±0.71 | 2.57±0.82 | 0.093 |
| ALT, μkat/L | 2.14±8.40 | 0.29±0.11 | 0.29±0.08 | 0.31±0.17 | 0.001 |
| AST, μkat/L | 1.69±4.32 | 0.44±0.11 | 0.74±2.82 | 0.44±0.15 | 0.183 |
| GGT, μkat/L | 0.95±2.44 | 0.27±0.75 | 0.28±0.62 | 0.28±0.14 | 0.032 |
T1D, type 1 diabetes mellitus; ANOVA, analysis of variance; BMI-SDS, body mass index standard deviation score; HbA1c, hemoglobin A1c; HDL, high density lipoprotein; LDL, low density lipoprotein; ALT, alanine aminotransferase; AST, aspartate aminotransferase; GGT, γ-glutamyl transferase. Cumulative HbA1c [%], mean of the existing HbA1c values in the last examination year. Data were analyzed using the one-way ANOVA test.
Exclusion criteria were other subtypes of diabetes, any endocrine disorders or syndromal diseases (trisomy 21, Turner syndrome, etc.).
Written and signed consent was obtained from at least one parent. The studies were approved by the Ethical Committee of the University of Leipzig (reference numbers: 035-10-09112009; 264-10-19042010 and 265-10-19042010) and were performed in accordance with the Declaration of Helsinki.
Retrospective data collection
Anthropometric and laboratory data from previous examination and blood analysis were archived by official medical records and CrescNet® [27]. New onset of type 1 diabetes was defined as the day of admission, with presented typical features before the start of insulin therapy. Body mass index standard deviation score (BMI-SDS) [28], stages of puberty according to Tanner [29], [30], blood pressure and duration of diabetes were determined in all patients. Liver and lipid parameters as well as spontaneous plasma glucose levels and HbA1c were measured by standard laboratory methods in the central laboratory of the University Hospital. Cumulative HbA1c is defined as the mean of the existing HbA1c values in the last examination year.
Laboratory methods
After initial measurements all blood samples were stored frozen at −80 °C. Adipokine concentrations were measured among the aforementioned subgroups. Serum concentrations of NAMPT (AdipoGen®, Liestal, Switzerland), omentin-1 (Biovendor®, Brno, Czech Republic) and CK-18 M30 (Peviva Apoptosense®, Sundbyberg, Sweden) were measured using commercially available sandwich enzyme linked-immunosorbent assay (ELISA) kits. For NAMPT, intra-assay coefficients of variation (CV, mean±SD) were between 2.10±0.99% and 4.54±3.07%; inter-assay CVs were between 18.8% and 8.8%. For omentin-1, intra-assay CVs were between 5.91±2.38% and 3.92±2.57%; inter-assay CVs were between 6.05% and 5.2. For CK-18, M30 intra-assay CVs were between 6.16±6.39% and 5.39±5.25%; inter-assay CVs were between 10.95% and 6.26% for the same concentrations.
Statistical analyses
The statistical analysis was performed using IBM SPSS Statistics for Windows, Version 21.0 (IBM Corp., Armonk, NY, USA). Data of descriptive statistics were represented as mean±SD. Values for NAMPT, omentin-1 and CK-18 were right skewed and therefore log transformed. In the groups of type 1 diabetes patients vs. healthy controls the differences between means were analyzed using Student’s t-test on log transformed data. Correlation analyses were performed by Pearson correlation analysis. We also compared the treatment-related data of the three adipocytokines in different groups of type 1 diabetes patients by the one-way analysis of variance (ANOVA) and Tamhane post hoc test. The effects of age, sex, BMI-SDS, blood glucose levels, total cholesterol and liver parameters (alanine aminotransferase [ALT], aspartate aminotransferase [AST]) on NAMPT, omentin-1 and CK-18 were investigated by stepwise multiple regression analysis in patients with type 1 diabetes. A p-value <0.05 was considered statistically significant.
Results
NAMPT, omentin-1 and CK-18 in type 1 diabetes vs. healthy controls
Mean serum concentrations of NAMPT (mean±SD [ng/mL]) were higher in patients with type 1 diabetes at onset (9.0±17.6) than in healthy controls (2.4±2.3); however, they did not reach statistical significance (p=0.129; Table 3). In contrast, significantly higher NAMPT serum values were found for patients with longstanding type 1 diabetes (6.6±11.4) compared to healthy controls (1.9±2.3) (p<0.001). The range of NAMPT values among type 1 diabetes patients was more widely distributed compared to the control groups (Figure 1A). In the group of healthy controls, NAMPT data correlated significantly with BMI (r=0.231; p<0.001) and BMI-SDS (r=0.230; p<0.001) (Supplementary Figures 1, 2).
Adipocytokine concentrations in children with type 1 diabetes vs. their healthy age, sex and BMI-SDS matched controls (mean±standard deviation [SD]).
| Onset T1D | Controls | p-Value | Chronic T1D | Controls | p-Value | |
|---|---|---|---|---|---|---|
| NAMPT, ng/mL | ||||||
| Mean±SD | 9.0±17.6 | 2.4±2.3 | 0.129 | 6.6±11.4 | 1.9±2.3 | <0.001 |
| Median | 2.2 | 1.8 | 3.0 | 1.4 | ||
| Range | 68.1 | 12.2 | 76.3 | 20.7 | ||
| Variance | 310.3 | 5.4 | 128.8 | 5.3 | ||
| Omentin-1, ng/mL | ||||||
| Mean±SD | 468.5±158.7 | 328.6±116.6 | <0.001 | 367.1±130.6 | 296.5±94.4 | <0.001 |
| Median | 452.4 | 325.8 | 339.2 | 290.9 | ||
| Range | 707.3 | 644.7 | 967.6 | 670.6 | ||
| Variance | 25190.0 | 13590.1 | 17054.6 | 8877.6 | ||
| CK-18, U/L | ||||||
| Mean±SD | 166.2±280.9 | 177.6±104.0 | 0.034 | 104.2±48.3 | 153.6±110.5 | <0.001 |
| Median | 106.8 | 141.3 | 82.3 | 109.3 | ||
| Range | 1988.6 | 478.4 | 321.79 | 741.9 | ||
| Variance | 78881.8 | 10826.0 | 2331.7 | 12173.3 | ||
T1D, type 1 diabetes mellitus; BMI-SDS, body mass index standard deviation score; NAMPT, nicotinamide phosphoribosyltransferase; CK-18, caspase-cleaved cytokeratin 18 fragment M30. Data were analyzed using Student’s t-test.

The boxes represent median, 1st and 3rd quartiles of NAMPT (A), omentin-1 (B) and CK-18 (C).
Whiskers represent 1.5× inter-quartile range. Outliers are not shown. NAMPT (A), omentin-1 (B) and CK-18 (C) serum levels of type 1 diabetes patients were compared to healthy age, sex and BMI-SDS matched controls. Onset T1D, patients with new onset of type 1 diabetes (n=50); controls, healthy controls of onset type 1 diabetes patients (n=46); chronic T1D, chronic patients with longstanding type 1 diabetes (n=203); controls, healthy controls of longstanding type 1 diabetes patients (n=197). Statistical significant differences by Student’s t-test were shown as ***p<0.001; *p<0.005.
Omentin-1 serum concentrations (mean±SD [ng/mL]) were significantly higher in the new-onset group (468.5±158.7) than in controls (328.6±116.6) (p<0.001) (Table 3). Longstanding patients also showed significantly elevated omentin-1 serum levels (367.1±130.6) when compared to healthy controls (296.5±94.4) (p<0.001) (Figure 1B). In the type 1 diabetes group omentin-1 values were dependent on gender (r=−0.165; p<0.01 with higher concentrations in girls than in boys), BMI (r=−0.273; p<0.01), BMI-SDS (r=−0.374; p<0.01), blood glucose levels (r=0.371; p<0.01), HbA1c (r=0.323; p<0.01) and γ-glutamyl transferase (GGT) (r=0.154; p=0.025). Healthy controls showed significant associations with BMI (r=−0190; p<0.01), BMI-SDS (r=−0.257; p<0.01), stages of puberty (−0.160; p=0.029), blood glucose levels (r=0.144; p=0.031), triglycerides (r=−0.144; p=0.030), high density lipoprotein (HDL) cholesterol (r=0.230; p<0.01) and AST (r=0.161; p=0.015) (Supplementary Figures 1, 2).
CK-18 serum concentrations (mean±SD [U/L]) were significantly lower in the type 1 diabetes onset group (166.2±280.9) than in healthy controls (177.6±104.0) (p=0.034) (Table 3). There was a wide range of CK-18 values among patients at type 1 diabetes onset (75.0–2063.7). For the longstanding type 1 diabetes group (104.2±48.3) we also showed significantly lower CK-18 serum levels compared to healthy controls (153.6±110.5) (p<0.001) (Figure 1C). Among the type 1 diabetes population, CK-18 levels were significantly correlated with BMI-SDS (r=−0.145; p=0.021), blood glucose (r=0.244; p<0.01), HbA1c (r=0.215; p<0.01), duration of diabetes (r=−0.200; p<0.01), triglycerides (r=0.221; p<0.01) and HDL cholesterol (r=−0,147; p=0.019). Even stronger correlations of CK-18 were observed with ALT (r=0.502; p<0.01), AST (r=0.302; p<0.01) and GGT (r=0.451; p<0.01), whereas neither ALT nor AST or GGT were significantly elevated in type 1 diabetes patients. ALT was the only parameter which was significantly lower in the type 1 diabetes population in concordance with lower CK-18 levels. However, among healthy subjects CK-18 levels significantly correlated with total cholesterol (r=0.154; p=0.020), low density lipoprotein (LDL) cholesterol (r=0.180; p<0.01) and ALT (r=0.148; p=0.028) (Supplementary Figures 1, 2).
Analysis of insulin replacement therapy
Results of anthropometric and descriptive data of patients with type 1 diabetes stratified according to the duration of their disease are summarized in Tables 2 and 4.
Adipocytokine concentrations in children with type 1 diabetes according to disease duration (mean±standard deviation [SD]).
| Onset T1D | >6 months | >5 years | >10 years | p-Value | |
|---|---|---|---|---|---|
| NAMPT, ng/mL | |||||
| Mean±SD | 9.0±17.6 | 6.7±12.0 | 6.8±13.7 | 5.7±11.7 | 0.546 |
| Median | 2.2 | 2.9 | 2.7 | 1.9 | |
| Range | 68.1 | 76.3 | 115.4 | 70.7 | |
| Variance | 310.3 | 144.4 | 187.8 | 136.5 | |
| Omentin-1, ng/mL | |||||
| Mean±SD | 468.5±158.7 | 357.4±128.6 | 379.0±110.4 | 377.0±168.5 | <0.001 |
| Median | 452.4 | 328.8 | 359.1 | 326.0 | |
| Range | 707.3 | 967.6 | 653.2 | 708.8 | |
| Variance | 25190.0 | 16531.2 | 12186.4 | 28377.8 | |
| CK-18, U/L | |||||
| Mean±SD | 166.2±280.9 | 105.1±46.3 | 105.5±48.7 | 103.1±71.0 | 0.001 |
| Median | 106.8 | 84.2 | 85.6 | 79.4 | |
| Range | 1988.6 | 285.0 | 312.7 | 368.0 | |
| Variance | 78881.8 | 2139.5 | 2368.3 | 5046.2 | |
T1D, type 1 diabetes mellitus; ANOVA, analysis of variance; NAMPT, nicotinamide phosphoribosyltransferase; CK-18, caspase-cleaved cytokeratin 18 fragment M30. Data were analyzed using One-way ANOVA and Tamhane post hoc tests.
Serum NAMPT concentrations among type 1 diabetes patients were higher at onset and decreased with treatment. However, NAMPT concentrations remained statistically unimproved during insulin treatment at any time (p=0.546) (Figure 2A). Multiple stepwise regression analysis demonstrated that gender, BMI-SDS, blood glucose, total cholesterol and ALT levels had no independent significant predictive value for NAMPT. In contrast, age and AST were significantly predictive (Table 5).

Mean and standard error for levels of NAMPT (A), omentin-1 (B) and CK-18 (C) from pediatric patients with new onset of type 1 diabetes; diabetes duration ≥6 months and <5 years; diabetes duration ≥5 years and <10 years; diabetes duration ≥10 years.
Statistical significant differences by ANOVA and Tamhane post hoc tests were shown as *p<0.05.
Omentin-1 concentrations at onset were significantly higher than values at the remaining three time-points of treatment (p<0.001) (Figure 2B). The latter three groups demonstrated no differences when compared to each other. Our data suggests that treatment over 10 years does not lead to a substantial shift of the mean value into the range of controls (Figures 1B and 2B). Multiple stepwise regression analysis revealed a significant influence of blood glucose levels and BMI-SDS on omentin-1 values (Table 5). Additionally, this analysis confirms the positive correlations of omentin-1 with blood glucose, HbA1c and BMI-SDS found in type 1 diabetes patients vs. healthy controls (Supplementary Figures 1, 2).
Description of the results from stepwise multiple linear regression analysis of adipocytokine serum concentrations in children and adolescents with type 1 diabetes.
| Unstandardized coefficients | Standardized coefficients | t | Sig. | ||
|---|---|---|---|---|---|
| B | Std. error | β | |||
| Models for NAMPT | |||||
| 1. (Constant) | 0.400 | 0.033 | 12.292 | <0.001 | |
| AST, μkat/L | 0.049 | 0.018 | 0.150 | 2.735 | 0.007 |
| R2=0.023 | |||||
| 2. (Constant) | 0.203 | 0.100 | 2.036 | 0.043 | |
| AST, μkat/L | 0.048 | 0.018 | 0.148 | 2.707 | 0.007 |
| Age, years | 0.015 | 0.007 | 0.114 | 2.074 | 0.039 |
| R2=0.036 | |||||
| Models for omentin-1 | |||||
| 1. (Constant) | 2.479 | 0.014 | 172.697 | <0.001 | |
| Blood glucose, mmol/L | 0.007 | 0.001 | 0.315 | 5.960 | <0.001 |
| R2=0.099 | |||||
| 2. (Constant) | 2.497 | 0.015 | 172.148 | <0.001 | |
| Blood glucose, mmol/L | 0.006 | 0.001 | 0.279 | 5.373 | <0.001 |
| BMI-SDS | −0.035 | 0.008 | −0.233 | −4.492 | <0.001 |
| R2=0.152 | |||||
| Models for CK-18 | |||||
| 1. (Constant) | 1.985 | 0.009 | 224.335 | <0.001 | |
| ALT, μkat/L | 0.035 | 0.004 | 0.427 | 8.492 | <0.001 |
| R2=0.183 | |||||
NAMPT, nicotinamide phosphoribosyltransferase; AST, aspartate aminotransferase; BMI-SDS, body mass index standard deviation score; ALT, alanine aminotransferase. In the upper part of the table the parameters of the regression equation for predicting the dependent variables NAMPT, omentin-1 and CK-18 in each model are given. R2, coefficient of determination. In the lower part of the table R2 is given.
The highest levels of serum CK-18 were shown in matched healthy controls (Table 3, Figure 1C). However, among pediatric type 1 diabetes patients the highest concentrations of serum CK-18 were measured at new onset of the disease. CK-18 values decreased with increasing duration of treatment (Figure 2C). Significantly elevated CK-18 concentrations were observed only in patients at onset when compared to patients with a treatment time ≥10 years (p=0.025). No further differences between the groups were detected. Our model of multiple stepwise regression analysis for CK-18 described 18.3% of the total variance (R2=0.183). It revealed that only ALT showed a significant relationship with CK-18. Unexpectedly, the correlation of blood glucose levels with CK-18 did not reach significance (Table 5).
Discussion
The acute metabolic decompensation at new onset of type 1 diabetes did not lead to any significant changes in serum NAMPT levels in this pediatric cohort. However, patients with longstanding type 1 diabetes had significantly higher NAMPT levels when compared with controls, suggesting that NAMPT levels were not a marker for acute inflammation in type 1 diabetes but a marker for chronic changes. Additionally, we demonstrated that NAMPT serum concentrations were not substantially influenced by insulin replacement therapy in type 1 diabetes patients.
NAMPT is important for the regulation of glucose metabolism especially in adipose tissue [31]. However, we did not find any results implying a relationship between serum concentrations of NAMPT and either glucose levels and HbA1c or lipid parameters. We failed to show an up-regulation of NAMPT due to insulin depletion to restore hyperglycemia in type 1 diabetes. Instead, elevated NAMPT levels were found to be associated with adiposity as shown in the correlation with BMI-SDS in the population of healthy controls. This suggests a link to adiposity-related inflammation in islet cells, which has been proven in rodent models before [32]. Chronic fructose fed mice showed islet dysfunction accompanied by lowered secretion of eNAMPT leading to increased islet inflammation and impaired β-cell function [32]. However, a previous study reported elevated NAMPT concentrations in children with acute infectious diseases and in acute relapse of chronic inflammatory diseases, but not in stable conditions or states of low-grade inflammations such as obesity [33]. Serum concentrations of NAMPT correlated positively with inflammatory markers such as C-reactive protein (CRP) and leukocyte count, especially the neutrophil count [33]. Therefore, we conclude that elevated NAMPT concentrations in long-term type 1 diabetes patients may indicate an inflammatory state with chronic activity in our patient cohort [33]. Unfortunately, leukocyte counts or CRP levels were not examined to prove this assumption in this study.
Furthermore, the positive associations of NAMPT concentrations with AST in our longitudinal approach may suggest a higher release of enzymatically active NAMPT dimer from dysfunctional hepatocytes [34].
Previous studies investigating NAMPT serum levels in type 1 diabetes patients showed inconsistent results. Increased levels of NAMPT were shown in only 18 obese but not in 32 lean type 1 diabetes children at onset [13]. However, this study did not compare NAMPT levels of type 1 diabetes with those of healthy subjects, nor with longstanding type 1 diabetes patients. In addition, all measurements were done at a median of 7 weeks after diagnosis. Therefore, the information provided by this study is not applicable to our results because we examined serum concentrations prior to treatment and in established type 1 diabetes patients with disease durations >6 months. In adult patients with longstanding type 1 diabetes, circulating NAMPT serum levels were also found to be increased [12], [[35]. NAMPT concentrations were not associated with HbA1c representing glycemic control 12] which supports our available data of longstanding pediatric type 1 diabetes patients. Elevated NAMPT levels in type 1 diabetes adults were reduced after successful pancreas-kidney transplantation to levels comparable with non-diabetic healthy controls [35]. In our study, NAMPT serum concentrations did not completely normalize to levels seen in healthy participants after the start of insulin therapy, suggesting a chronic abnormal metabolic state. In another study of adult type 1 diabetes patients, circulating NAMPT levels tended to be even lower than in healthy controls independent of acute hyperglycemia, exogenous insulin administration and metabolic control [15]. Moreover, significantly lower NAMPT levels in adult type 1 diabetes patients (n=48) demonstrated an association with glycemic control reflected by HbA1c [14], which could not be directly attributed to inflammatory features of NAMPT. Nevertheless, NAMPT did not appear to be an indicator of metabolic decompensation but rather a biomarker of chronic inflammation in type 1 diabetes. Besides, the use of different immunoassays needs to be considered when conflicting results of NAMPT serum concentrations have to be interpreted [36].
Omentin-1 has been previously described as having insulin-sensitizing and anti-inflammatory properties [16], [[37]. Our results were in line with these assumptions as both acute and chronic hyperglycemia led to increased omentin-1 levels in type 1 diabetes children, probably to compensate for an endogenous lack in insulin production. Additionally, our data of healthy controls indicate negative associations of omentin-1 serum concentrations and the stages of puberty. Similar observations could not be stated in the type 1 diabetes patient cohort. A possible explanation for this may be the higher number of missing information for pubertal stages among type 1 diabetes patients. Interestingly, BMI-SDS was negatively correlated with omentin-1 levels in patients with type 1 diabetes and in healthy children. Furthermore, regression analysis showed a significantly positive association with blood glucose and a significantly negative association with BMI-SDS of longstanding type 1 diabetes patients. These associations were confirmed by higher omentin-1 levels in anorexic girls compared to healthy and obese participants 38] and lower serum omentin-1 levels in obese children compared to normal weight children [17]. An up-regulation of omentin-1 might be a compensatory mechanism for intracellular energy depletion caused by lowered glucose effects.
However, in pediatric type 1 diabetes patients, omentin-1 concentrations were found to be lower at onset and after treatment (n=46) [[1], whereas Redondo et al. showed only lower levels in obese (n=18) but not in lean (n=32) patients at onset 13]. Dayem et al. reported lower omentin-1 concentrations in patients with longstanding type 1 diabetes (n=62) than in controls [39]. In contrast to our findings no correlation was detectable between concentrations of omentin-1 and sex, BMI, HbA1c, triglycerides as well as HDL cholesterol [39]. It may be that the smaller sample size was the cause for the disagreement. Our data support the hypothesis that omentin-1 is an adipokine with insulin-sensitizing, anti-inflammatory and probably protective features. However, as omentin-1 receptors and signaling pathways were not yet discovered, the final clarification of the role of omentin-1 in glucose and energy homeostasis remains open.
This study failed to demonstrate an elevation of serum CK-18 concentrations in pediatric type 1 diabetes patients as a sign of hepatic impairment or a beginning NAFLD caused by chronic systemic low-grade inflammation, although recent studies have proven that serum levels of CK-18 in children correlate with the severity of the liver damage caused by NAFLD [22], [[40], [41]. When compared to healthy age, sex and BMI-SDS matched controls our results revealed lower CK-18 levels in the pediatric type 1 diabetes cohort both at new onset and during long-term insulin treatment. A potential explanation for these contrasting findings may be found in the design of our study. The matching of our patients for BMI-SDS eliminated differences in adipose tissue mass between cases and controls. Due to lower levels of CK-18 in pediatric type 1 diabetes patients the presence of NAFLD seems unlikely. We showed positive significant correlations of CK-18 values in our type 1 diabetes cohort with blood glucose levels, HbA1c and negative correlations with disease duration as well as with BMI-SDS. Hence, a potential effect of type 1 diabetes on CK-18 levels appears to be probable. Previous studies have proven that CK-18, together with CK-8, is one of the main keratin types in pancreatic islet cells 42]. Rodent models even suggest a role for CK-8/CK-18 intermediate filament dependent interplay between insulin signaling, glucose homeostasis and liver cirrhosis [42], [[43]. Our significant positive correlations of CK-18 levels with ALT are in line with previously reported results 44]. The fact that CK-18 levels at onset of type 1 diabetes were significantly higher than those of patients with a disease duration ≥10 years indicates a potential improvement of liver function in this cohort. This hypothesis is supported by previous results of decreased CK-18 levels in pediatric patients with improved liver histologies [44]. The question whether elevated CK-18 levels at onset of type 1 diabetes could be caused by apoptotic β cells still remains unanswered.
To the best of our best knowledge, our study is the first one reporting on CK-18 serum levels in pediatric type 1 diabetes patients. We have to take into account that the average diabetes duration of our patients was only 4.75±3.94 years. Accordingly, metabolic sequels of type 1 diabetes such as steatohepatitis and NAFLD with excessive lipid accumulation in the liver might not be manifest yet explaining the low serum levels of CK-18. Moreover, CK-18 is primarily an apoptosis marker of hepatocytes without any specificity to underlying causes of liver cell damage.
Our study has some limitations: (1) we did not measure pro-inflammatory markers such as the number of white blood cells or the serum concentrations of CRP. CRP was shown to be associated with NAMPT serum concentrations, while white blood cells are major producers of eNAMPT. (2) With the present results we are not able to make reliable statements about causative effects of the three adipokines. (3) Additionally, there might be genetic confounders like familial obesity, familial metabolic diseases or environmental factors such as the socioeconomic circumstances of our subjects, which have been proven to influence obesity with consecutive metabolic changes. (4) Our study concept of type 1 diabetes patients lacks true longitudinal data for practical reasons. However, the high number of subjects with different disease durations supports our conclusions concerning the tendencies in adipokine serum concentrations in dependence of disease duration.
In conclusion, our data suggest that in children with type 1 diabetes, NAMPT could be a marker of chronic inflammation. Increased omentin-1 values are associated with hyperglycemia and therefore could be viewed as a marker for disturbed glucose metabolism. Finally, lower CK-18 serum concentrations may exclude relevant liver cell damage especially in terms of NAFLD in these patients.
Acknowledgments
We thank all subjects and their families for participating in this study. Thanks also go to all technical assistants of the Hospital for Children and Adolescents, Centre for Paediatric Research, and Institute for Laboratory Medicine of the University of Leipzig and the LIFE Child team for their valuable work.
Author contributions: EN, MV, MP, SS, WK and JK were responsible for the conception and design. EN, MV, TMK and SR contributed to data acquisition. EN, MV, AG, AK, WK and JK contributed to data analysis and interpretation. EN wrote the first draft and JK revised it critically. All authors critically revised the manuscript for intellectual content and approved the final version.
Research funding: LIFE is funded by financial means of the European Union and the Free State of Saxony.
Employment or leadership: None declared.
Honorarium: None declared.
Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.
References
1. Polkowska A, Szczepaniak I, Bossowski A. Assessment of serum concentrations of ghrelin, obestatin, omentin-1, and apelin in children with type 1 diabetes. Biomed Res Int 2016;2016:8379294.10.1155/2016/8379294Search in Google Scholar PubMed PubMed Central
2. Verrijn Stuart AA, Schipper HS, Tasdelen I, Egan DA, Prakken BJ, et al. Altered plasma adipokine levels and in vitro adipocyte differentiation in pediatric type 1 diabetes. J Clin Endocrinol Metab 2012;97:463–72.10.1210/jc.2011-1858Search in Google Scholar PubMed
3. Kapellen TM, Gausche R, Dost A, Wiegand S, Flechtner-Mors M, et al. Children and adolescents with type 1 diabetes in Germany are more overweight than healthy controls: results comparing DPV database and CrescNet database. J Pediatr Endocrinol Metab 2014;27:209–14.10.1515/jpem-2013-0381Search in Google Scholar PubMed
4. Versini M, Jeandel P-Y, Rosenthal E, Shoenfeld Y. Obesity in autoimmune diseases: not a passive bystander. Autoimmun Rev 2014;13:981–1000.10.1016/j.autrev.2014.07.001Search in Google Scholar PubMed
5. Revollo JR, Körner A, Mills KF, Satoh A, Wang T, et al. Nampt/PBEF/Visfatin regulates insulin secretion in beta cells as a systemic NAD biosynthetic enzyme. Cell Metab 2007;6:363–75.10.1016/j.cmet.2007.09.003Search in Google Scholar PubMed PubMed Central
6. Kover K, Tong PY, Watkins D, Clements M, Stehno-Bittel L, et al. Expression and regulation of nampt in human islets. PLoS One 2013;8:e58767.10.1371/journal.pone.0058767Search in Google Scholar PubMed PubMed Central
7. Spinnler R, Gorski T, Stolz K, Schuster S, Garten A, et al. The adipocytokine Nampt and its product NMN have no effect on beta-cell survival but potentiate glucose stimulated insulin secretion. PLoS One 2013;8:e54106.10.1371/journal.pone.0054106Search in Google Scholar PubMed PubMed Central
8. Friebe D, Neef M, Kratzsch J, Erbs S, Dittrich K, et al. Leucocytes are a major source of circulating nicotinamide phosphoribosyltransferase (NAMPT)/pre-B cell colony (PBEF)/visfatin linking obesity and inflammation in humans. Diabetologia 2011;54:1200–11.10.1007/s00125-010-2042-zSearch in Google Scholar PubMed PubMed Central
9. Yoon MJ, Yoshida M, Johnson S, Takikawa A, Usui I, et al. SIRT1-mediated eNAMPT secretion from adipose tissue regulates hypothalamic NAD+ and function in mice. Cell Metab 2015;21:706–17.10.1016/j.cmet.2015.04.002Search in Google Scholar PubMed PubMed Central
10. Yoshino J, Mills KF, Yoon MJ, Imai S-i. Nicotinamide mononucleotide, a key NAD(+) intermediate, treats the pathophysiology of diet- and age-induced diabetes in mice. Cell Metab 2011;14:528–36.10.1016/j.cmet.2011.08.014Search in Google Scholar PubMed PubMed Central
11. Haider DG, Pleiner J, Francesconi M, Wiesinger GF, Müller M, et al. Exercise training lowers plasma visfatin concentrations in patients with type 1 diabetes. J Clin Endocrinol Metab 2006;91:4702–4.10.1210/jc.2006-1013Search in Google Scholar PubMed
12. López-Bermejo A, Chico-Julià B, Fernàndez-Balsells M, Recasens M, Esteve E, et al. Serum visfatin increases with progressive beta-cell deterioration. Diabetes 2006;55:2871–5.10.2337/db06-0259Search in Google Scholar PubMed
13. Redondo MJ, Rodriguez LM, Haymond MW, Hampe CS, Smith EO, et al. Serum adiposity-induced biomarkers in obese and lean children with recently diagnosed autoimmune type 1 diabetes. Pediatr Diabetes 2014;15:543–9.10.1111/pedi.12159Search in Google Scholar PubMed PubMed Central
14. Toruner F, Altinova AE, Bukan N, Arslan E, Akbay E, et al. Plasma visfatin concentrations in subjects with type 1 diabetes mellitus. Horm Res 2009;72:33–7.10.1159/000224338Search in Google Scholar PubMed
15. Alexiadou K, Kokkinos A, Liatis S, Perrea D, Katsilambros N, et al. Differences in plasma apelin and visfatin levels between patients with type 1 diabetes mellitus and healthy subjects and response after acute hyperglycemia and insulin administration. Hormones (Athens) 2012;11:444–50.10.14310/horm.2002.1376Search in Google Scholar PubMed
16. Yang R-Z, Lee M-J, Hu H, Pray J, Wu HB, et al. Identification of omentin as a novel depot-specific adipokine in human adipose tissue: possible role in modulating insulin action. Am J Physiol Endocrinol Metab 2006;290:E1253–61.10.1152/ajpendo.00572.2004Search in Google Scholar PubMed
17. Catli G, Anik A, Abaci A, Kume T, Bober E. Low omentin-1 levels are related with clinical and metabolic parameters in obese children. Exp Clin Endocrinol Diabetes 2013;121:595–600.10.1055/s-0033-1355338Search in Google Scholar PubMed
18. Klusek-Oksiuta M, Bialokoz-Kalinowska I, Tarasow E, Wojtkowska M, Werpachowska I, et al. Chemerin as a novel non-invasive serum marker of intrahepatic lipid content in obese children. Ital J Pediatr 2014;40:84.10.1186/s13052-014-0084-4Search in Google Scholar PubMed PubMed Central
19. Prats-Puig A, Bassols J, Bargallo E, Mas-Parareda M, Ribot R, et al. Toward an early marker of metabolic dysfunction: omentin-1 in prepubertal children. Obesity (Silver Spring) 2011;19:1905–7.10.1038/oby.2011.198Search in Google Scholar PubMed
20. Schipper HS, Nuboer R, Prop S, van den Ham HJ, de Boer FK, et al. Systemic inflammation in childhood obesity: circulating inflammatory mediators and activated CD14++ monocytes. Diabetologia 2012;55:2800–10.10.1007/s00125-012-2641-ySearch in Google Scholar PubMed
21. Moll R, Divo M, Langbein L. The human keratins: biology and pathology. Histochem Cell Biol 2008;129:705–33.10.1007/s00418-008-0435-6Search in Google Scholar PubMed PubMed Central
22. Vos MB, Barve S, Joshi-Barve S, Carew JD, Whitington PF, et al. Cytokeratin 18, a marker of cell death, is increased in children with suspected nonalcoholic fatty liver disease. J Pediatr Gastroenterol Nutr 2008;47:481–5.10.1097/MPG.0b013e31817e2bfbSearch in Google Scholar PubMed PubMed Central
23. American Diabetes Association. Classification and diagnosis of diabetes. Sec. 2. In Standards of Medical Care in Diabetes—2016. Diabetes Care 2016;39(Suppl 1):S13–22.10.2337/dc16-S005Search in Google Scholar PubMed
24. Dunger DB, Sperling MA, Acerini CL, Bohn DJ, Daneman D, et al. ESPE/LWPES consensus statement on diabetic ketoacidosis in children and adolescents. Arch Dis Child 2004;89:188–94.10.1136/adc.2003.044875Search in Google Scholar PubMed PubMed Central
25. Quante M, Hesse M, Dohnert M, Fuchs M, Hirsch C, et al. The LIFE child study: a life course approach to disease and health. BMC Public Health 2012;12:1021.10.1186/1471-2458-12-1021Search in Google Scholar PubMed PubMed Central
26. Poulain T, Baber R, Vogel M, Pietzner D, Kirsten T, et al. The LIFE Child study: a population-based perinatal and pediatric cohort in Germany. Eur J Epidemiol 2017;32:145–58.10.1007/s10654-016-0216-9Search in Google Scholar PubMed
27. Keller E, Gausche R, Meigen C, Keller A, Burmeister J, et al. Auxological computer based network for early detection of disorders of growth and weight attainment. J Pediatr Endocrinol Metab 2002;15:149–56.10.1515/JPEM.2002.15.2.149Search in Google Scholar
28. Kromeyer-Hauschild K, Wabitsch M, Kunze D, Geller F, Geiß HC, et al. Perzentile für den Body-mass-Index für das Kindes- und Jugendalter unter Heranziehung verschiedener deutscher Stichproben. Monatsschrift Kinderheilkunde 2001;149:807–18.10.1007/s001120170107Search in Google Scholar
29. Marshall WA, Tanner JM. Variations in pattern of pubertal changes in girls. Arch Dis Child 1969;44:291–303.10.1136/adc.44.235.291Search in Google Scholar PubMed PubMed Central
30. Marshall WA, Tanner JM. Variations in the pattern of pubertal changes in boys. Arch Dis Child 1970;45:13–23.10.1136/adc.45.239.13Search in Google Scholar PubMed PubMed Central
31. Stromsdorfer KL, Yamaguchi S, Yoon MJ, Moseley AC, Franczyk MP, et al. NAMPT-mediated NAD(+) biosynthesis in adipocytes regulates adipose tissue function and multi-organ insulin sensitivity in mice. Cell Rep 2016;16:1851–60.10.1016/j.celrep.2016.07.027Search in Google Scholar PubMed PubMed Central
32. Caton PW, Kieswich J, Yaqoob MM, Holness MJ, Sugden MC. Nicotinamide mononucleotide protects against pro-inflammatory cytokine-mediated impairment of mouse islet function. Diabetologia 2011;54:3083–92.10.1007/s00125-011-2288-0Search in Google Scholar PubMed
33. Gesing J, Scheuermann K, Wagner IV, Löffler D, Friebe D, et al. NAMPT serum levels are selectively elevated in acute infectious disease and in acute relapse of chronic inflammatory diseases in children. PLoS One 2017;12:e0183027.10.1371/journal.pone.0183027Search in Google Scholar PubMed PubMed Central
34. Garten A, Petzold S, Barnikol-Oettler A, Körner A, Thasler WE, et al. Nicotinamide phosphoribosyltransferase (NAMPT/PBEF/visfatin) is constitutively released from human hepatocytes. Biochem Biophys Res Commun 2010;391:376–81.10.1016/j.bbrc.2009.11.066Search in Google Scholar PubMed
35. Stadler M, Storka A, Theuer EA, Krebs M, Vojtassakova E, et al. Adipokines in type 1 diabetes after successful pancreas transplantation: normal visfatin and retinol-binding-protein-4, but increased total adiponectin fasting concentrations. Clin Endocrinol (Oxf) 2010;72:763–9.10.1111/j.1365-2265.2009.03709.xSearch in Google Scholar PubMed
36. Körner A, Garten A, Blüher M, Tauscher R, Kratzsch J, et al. Molecular characteristics of serum visfatin and differential detection by immunoassays. J Clin Endocrinol Metab 2007;92:4783–91.10.1210/jc.2007-1304Search in Google Scholar PubMed
37. Smitka K, Maresova D. Adipose tissue as an endocrine organ: an update on pro-inflammatory and anti-inflammatory microenvironment. Prague Med Rep 2015;116:87–111.10.14712/23362936.2015.49Search in Google Scholar PubMed
38. Oswiecimska J, Suwala A, Swietochowska E, Ostrowska Z, Gorczyca P, et al. Serum omentin levels in adolescent girls with anorexia nervosa and obesity. Physiol Res 2015;64: 701–9.10.33549/physiolres.932841Search in Google Scholar PubMed
39. Dayem SM, Battah AA, Shehaby AE. Cardiac affection in type 1 diabetic patients in relation to omentin. Open Access Maced J Med Sci 2015;3:699–704.10.3889/oamjms.2015.132Search in Google Scholar PubMed PubMed Central
40. Fitzpatrick E, Mitry RR, Quaglia A, Hussain MJ, DeBruyne R, et al. Serum levels of CK18 M30 and leptin are useful predictors of steatohepatitis and fibrosis in paediatric NAFLD. J Pediatr Gastroenterol Nutr 2010;51:500–6.10.1097/MPG.0b013e3181e376beSearch in Google Scholar PubMed
41. Feldstein AE, Alkhouri N, de Vito R, Alisi A, Lopez R, et al. Serum cytokeratin-18 fragment levels are useful biomarkers for nonalcoholic steatohepatitis in children. Am J Gastroenterol 2013;108:1526–31.10.1038/ajg.2013.168Search in Google Scholar PubMed
42. Alam CM, Silvander JS, Daniel EN, Tao GZ, Kvarnström SM, et al. Keratin 8 modulates β-cell stress responses and normoglycaemia. J Cell Sci 2013;126:5635–44.10.1242/jcs.132795Search in Google Scholar PubMed PubMed Central
43. Roux A, Gilbert S, Loranger A, Marceau N. Impact of keratin intermediate filaments on insulin-mediated glucose metabolism regulation in the liver and disease association. FASEB J 2016;30:491–502.10.1096/fj.15-277905Search in Google Scholar PubMed
44. Vuppalanchi R, Jain AK, Deppe R, Yates K, Comerford M, et al. Relationship between changes in serum levels of keratin 18 and changes in liver histology in children and adults with nonalcoholic fatty liver disease. Clin Gastroenterol Hepatol 2014;12:2121–30.e1–2.10.1016/j.cgh.2014.05.010Search in Google Scholar PubMed PubMed Central
Supplementary Material
The online version of this article offers supplementary material (https://doi.org/10.1515/jpem-2018-0353).
Article note:
Clinical trial registration numbers at the Ethical Committee of the University of Leipzig: 035-10-09112009; 264-10-19042010 and 265-10-19042010.
©2018 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Original Articles
- Intracranial pathologies associated with central diabetes insipidus in infants
- Omentin-1 and NAMPT serum concentrations are higher and CK-18 levels are lower in children and adolescents with type 1 diabetes when compared to healthy age, sex and BMI matched controls
- Evaluation of anthropometric parameters of central obesity in Pakistani children aged 5–12 years, using receiver operating characteristic (ROC) analysis
- A lower energetic, protein and uncooked cornstarch intake is associated with a more severe outcome in glycogen storage disease type III: an observational study of 50 patients
- Untreated congenital hypothyroidism due to loss to follow-up: developing preventive strategies through quality improvement
- The effect of 17 years of increased salt iodization on the prevalence and nature of goiter in Croatian schoolchildren
- Is there an association between thyrotropin levels within the normal range and birth growth parameters in full-term newborns?
- Etiology of short stature in Indian children and an assessment of the growth hormone-insulin-like growth factor axis in children with idiopathic short stature
- Growth of patients with congenital adrenal hyperplasia due to 21-hydroxylase in infancy, glucocorticoid requirement and the role of mineralocorticoid therapy
- A personal series of 100 children operated for Cushing’s disease (CD): optimizing minimally invasive diagnosis and transnasal surgery to achieve nearly 100% remission including reoperations
- 12-Week aerobic exercise and nutritional program minimized the presence of the 64Arg allele on insulin resistance
- Letter to the Editor
- Successful treatment of life-threatening severe metabolic acidosis by continuous veno-venous hemodialysis in a child with diabetic ketoacidosis
- Case Reports
- Two siblings with metachromatic leukodystrophy caused by a novel identified homozygous mutation in the ARSA gene
- To diet or not to diet in neonatal diabetes responding to sulfonylurea treatment
- Van Wyk-Grumbach syndrome with hemangioma in an infant
- Maternal iodine excess: an uncommon cause of acquired neonatal hypothyroidism
Articles in the same Issue
- Frontmatter
- Original Articles
- Intracranial pathologies associated with central diabetes insipidus in infants
- Omentin-1 and NAMPT serum concentrations are higher and CK-18 levels are lower in children and adolescents with type 1 diabetes when compared to healthy age, sex and BMI matched controls
- Evaluation of anthropometric parameters of central obesity in Pakistani children aged 5–12 years, using receiver operating characteristic (ROC) analysis
- A lower energetic, protein and uncooked cornstarch intake is associated with a more severe outcome in glycogen storage disease type III: an observational study of 50 patients
- Untreated congenital hypothyroidism due to loss to follow-up: developing preventive strategies through quality improvement
- The effect of 17 years of increased salt iodization on the prevalence and nature of goiter in Croatian schoolchildren
- Is there an association between thyrotropin levels within the normal range and birth growth parameters in full-term newborns?
- Etiology of short stature in Indian children and an assessment of the growth hormone-insulin-like growth factor axis in children with idiopathic short stature
- Growth of patients with congenital adrenal hyperplasia due to 21-hydroxylase in infancy, glucocorticoid requirement and the role of mineralocorticoid therapy
- A personal series of 100 children operated for Cushing’s disease (CD): optimizing minimally invasive diagnosis and transnasal surgery to achieve nearly 100% remission including reoperations
- 12-Week aerobic exercise and nutritional program minimized the presence of the 64Arg allele on insulin resistance
- Letter to the Editor
- Successful treatment of life-threatening severe metabolic acidosis by continuous veno-venous hemodialysis in a child with diabetic ketoacidosis
- Case Reports
- Two siblings with metachromatic leukodystrophy caused by a novel identified homozygous mutation in the ARSA gene
- To diet or not to diet in neonatal diabetes responding to sulfonylurea treatment
- Van Wyk-Grumbach syndrome with hemangioma in an infant
- Maternal iodine excess: an uncommon cause of acquired neonatal hypothyroidism