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Pediatria Polska - Polish Journal of Paediatrics
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Original paper

Can stanniocalcin-2 be regarded as a novel non-invasive biomarker of advanced liver steatosis in obese children? A preliminary study

Anna Bobrus-Chociej
1
,
Natalia Kopiczko
1
,
Katarzyna Zdanowicz
1
,
Marta Flisiak-Jackiewicz
1
,
Dariusz Lebensztejn
1

1.
Department of Pediatrics, Gastroenterology, Hepatology, Nutrition, Allergology and Pulmonology, Medical University of Białystok, Białystok, Poland
Pediatr Pol 2022; 97 (4): 302-307
Online publish date: 2022/12/30
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INTRODUCTION

Non-invasive diagnostic methods have become increasingly important in various diseases, especially in pediatric population. A significant role is played by biomarkers, defined by the National Health Institute as indicators of natural biological processes, pathogenic processes or responses to an exposure or intervention [1]. Biomarker research also represents an evolving area within hepatology. Advances in technology have led to a rise in the discovery of putative biomarkers of the whole spectrum of liver injury, including fibrosis and steatosis [2, 3]. Recently, potential non-invasive biomarkers of liver steatosis have also aroused wide interest in order to achieve diagnostic and prognostic effectiveness in tackling this growing global health concern.
What is more, new, non-invasive parameters are sought not only to detect liver steatosis but also to predict the degree of lipid accumulation in the liver [4–6]. Increasing evidence suggests that insulin-like growth factor (IGF) insulin-like growth factor binding protein (IGFBP-4), pregnancy-associated plasma protein A (PAPP-A) and serum concentration of stanniocalcin-2 (STC-2) may be linked to a number of pathological conditions, including metabolic disorders, cardiovascular diseases and non-alcoholic fatty liver disease (NAFLD), and the cooperation of these three agents was named the IGFBP-4/PAPP-A/STC-2 axis [7].
Stanniocalcin, a glycosylated peptide hormone, was originally shown to play a critical role in calcium and phosphate homeostasis. Various studies have indicated the possible involvement of two mammalian stanniocalcins (STC-1 and 2) in diverse biological processes including cell proliferation and apoptosis, inflammation, oxidative stress and metabolism [8]. STC-2 is predicted to function in an autocrine and/or paracrine fashion. Abundant STC-2 protein expression was also observed in the liver and sparse studies indicate its role in obesity and liver steatosis [9]. On the other hand, PAPP-A is a metalloprotease, expressed and present in a wide range of tissues, including adipose tissue. The highest levels are found in pregnant women; therefore PAPP-A serves as a biomarker of pregnancy-associated conditions. PAPP-A is also abundantly present in unstable atherosclerotic plaques and circulating concentrations of PAPP-A are increased in cardiovascular patients [10]. It has been shown recently that STC-2 interacts with PAPP-A, inhibiting its proteolytic activity toward IGFBP-4. IGFBP-4 is a critical regulator of the activity of IGF. The liver is the main source of circulating IGFBP-4, but the protein is secreted by a number of cell types, including adipocytes. Increased levels of IGFBP-4 result in reduction in IGF signaling [10]. Experimental and clinical data about the role of IGF-1 in cardiovascular disease are ambiguous and do not provide strong evidence. Interestingly, a recent single study suggested that STC-2 mediated PAPP-A inhibition ameliorates atherosclerosis in hypercholesterolemic mice [11].
PAPP-A and STC-2 were also identified as novel modulators of IGF-1 bioavailability and therefore its role in human growth. STC-2 inhibits PAPP-A’s ability to cleave IGFBPs, thereby resulting in decreased levels of free IGF-1 and consequently decreased IGF-1 signaling [12].
The most common cause of liver steatosis in adults and children is NAFLD. Moreover, NAFLD is considered a hepatic manifestation of metabolic syndrome [13]. The parameters of the STC-2/PAPP-A/IGFBP-4 axis examined in this study are connected with metabolic disorders and potentially also with liver steatosis. Therefore, the aim of the study was to investigate parameters of the IGFBP-4/PAPP-A/STC-2 axis in obese children and check if they can be helpful in detecting liver steatosis in children, with particular emphasis on differentiating between mild and advanced steatosis.

MATERIALS AND METHODS

The prospective study included 62 consecutive children (39 boys and 23 girls, age 11.5–16 years, median age 13.75) with obesity (body mass index [BMI] > 95c), admitted to the department due to suspected liver disease (hepatomegaly, elevated serum alanine aminotransferase (ALT), and/or fatty liver in ultrasound examination). The control group consisted of 19 non-obese, healthy children (11 boys and 8 girls, median age 13.75, with BMI < 95c), without organic pathologies, hospitalized in the department because of accidental swallowing of a foreign body or functional disorders of the digestive tract.
The study was approved by the local bioethics committee. Written consent was obtained from all the children’s parents.
All participants underwent physical examination with anthropometric measurements. Weight measurement was performed barefoot and wearing minimal garments by the same physician in all individuals, on the same, calibrated scale. To measure height the participant was asked to step onto the scale with the back to the scale and stand up straight with heels together. Body mass index was calculated by dividing weight (kg) by height squared (m2). Waist and hip circumference were measured according to the World Health Organization protocol [14]. Waist-hip ratio (WHR) was calculated as the waist measurement divided by the hip measurement.
Viral hepatitis (HCV, HBV), selected metabolic liver diseases (Wilson’s disease, alpha-1-antitrypsin deficiency), cystic fibrosis, celiac disease, autoimmune hepatitis, and toxic conditions were excluded in the studied group. None of the children in the cohort suffered from endocrine disorders including type 2 diabetes mellitus; nor did they receive any drugs.
Blood sampling was performed in the fasting state. Alanine aminotransferase, aspartate aminotransferase (AST), gamma-glutamyltransferase (GGT), total serum bilirubin, total serum cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglycerides (TG), uric acid, fasting glucose and insulin were assessed with validated automated methods. Homeostatic model assessment-insulin resistance (HOMA-IR) was calculated according to Matthews et al. [15].
Abdominal ultrasonography (USG) was performed in all participants by the same experienced radiologist using a General Electric Voluson E8 with a convex 3–5 MHz transducer. The degree of liver steatosis was assessed according to a four-grade scale (0–3) described by Saverymuttu et al. [16]. Mild liver steatosis was defined as stage 1, and advanced steatosis as stage 2 or 3.
Fatty liver index (FLI), considered as an indicator of fatty liver in adults, was calculated using an algorithm based on BMI, waist circumference, GGT and TG concentration.
A body fat analyzer (Tanita, Tokyo, Japan) was used to measure body composition by bioelectrical impedance. The following measurements were taken: body fat percentage (fat %), fat mass, fat-free mass, muscle mass and total body water mass and percentage.
Stanniocalcin-2, PAPP-A and IGFBP-4 were measured using specific enzyme-linked immunoassay (ELISA, Wuhan EIAab Science Co., Ltd, China).

STATISTICAL ANALYSES

Biochemical tests and anthropometric parameters were expressed as median and 25th–75th quartile (Q1–Q3). Statistical analyses were performed using Statistica 10.0. The Mann-Whitney U test was used for non-parametric data. The relationship between biochemical tests was analyzed by the Spearman rank-correlation test. Results were considered statistically significant at p ≤ 0.05.

ETHICAL

This research was funded by the Medical University of Bialystok (SUB/1/DN/21/001/1143, N/ST/2B/18/001/1143).
The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Committee of the Medical University of Bialystok (nr R-I-002/427/2015, 29.10.2015.).
Informed consent was obtained from all subjects involved in the study.

RESULTS

Table 1 presents baseline characteristics of examined children.
Liver steatosis was diagnosed in ultrasound only in 38 obese children (61.3%). The concentrations of STC-2, PAPP-A and IGFBP-4 in obese children with liver steatosis were significantly higher than in the control group (Table 2).
Among all obese patients, 18 children had mild liver steatosis on USG (stage 1), and 20 children developed advanced steatosis (stage 2 or 3) (Table 3). 18 children had mild liver steatosis on USG (stage 1, age: 11–16 years, median 13; 9 boys and 9 girls), and 20 children developed advanced steatosis (stage 2 or 3, age: 11.5– 15.3, median 12.8; 2 girls and 18 boys).
The concentration of STC-2 was significantly higher in children with advanced steatosis in comparison to children with mild steatosis. PAPP-A, IGFBP-4 and FLI did not differ between those two groups (p = 0.82). Moreover, children with advanced steatosis had significantly higher activity of ALT, AST, GGT and higher concentration of serum uric acid (Table 3).
In the examined group of obese children (n = 62) we found a significant positive correlation of STC-2 with: ALT (r = 0.29, p = 0.02), AST (r = 0.25, p = 0.05), GGT (r = 0.26, p = 0.04), TG (r = 0.3, p = 0.02), insulin (r = 0.48, p < 0.001), HOMA-IR (r = 0.48, p < 0.001), uric acid (r = 0.28, p = 0.03), waist (r = 0.25, p = 0.05), WHR (r = 0.27, p = 0.036), the intensity of liver steatosis in ultrasound (r = 0.28, p = 0.03). The majority of correlations were weak, except for the correlation of STC-2 with parameters of insulin resistance (insulin and HOMA-IR), which were moderate.
In the group of obese children with liver steatosis (n = 38) STC-2 positively correlated with: GGT (r = 0.43, p = 0.008), cholesterol (r = 0.32, p = 0.05), TG (r = 0.32, p = 0.05), LDL cholesterol (r = 0.33, p = 0.05), insulin (r = 0.48, p = 0.003), HOMA-IR (r =0.45 p = 0.004) and WHR (r = 0.35, p = 0.04).

ROC ANALYSIS (MILD STEATOSIS VS. ADVANCED STEATOSIS)

The ability of serum STC-2 to detect advanced liver steatosis was significant (AUC = 0.746, p = 0.0022, sensitivity = 65%, specificity = 78%, cut-off 135.27 pg/ml). PAPP-A and IGFBP-4 did not allow a useful prediction (Figure 1).

DISCUSSION

To our knowledge, this is the first prospective study to assess the STC-2/PAPP-A/IGFBP-4 axis in obese children with liver steatosis. We found that stanniocalcin-2 levels were significantly higher in children with obesity and liver steatosis in comparison to lean, healthy children. What is more, STC-2 can differentiate children with mild and advanced liver steatosis, which was also confirmed with ROC analysis. Therefore STC-2 can be regarded as a non-invasive biomarker of liver steatosis in obese children.
The role of STC-2 has been investigated in an animal model. Zhao et al. [17] found that expression levels of STC-2 were significantly reduced in the livers of leptin- deficient and high-fat-diet induced obese mice. Furthermore, systemic administration of STC-2 recombinant protein or adenovirus-mediated overexpression of STC-2 ameliorated hepatosteatosis and hypertriglyceridemia in obese mice. However, the data did not confirm the signaling pathways modulated by STC-2 and described earlier at the molecular level in tumor cells and osteoblasts [18, 19]. That is why the authors speculate that the role and downstream signaling pathways of STC-2 might be tissue- or cell-specific, and the role of STC-2 in hepatic TG homeostasis needs further investigations. Moreover, the authors found that STC-2 activated mainly the signal transducer and activator of transcription (STAT3) signaling pathway to inhibit lipogenic gene expression. Previously, in another animal model, Jiao et al. [20] also proposed that STC-2 acts as an anorectic factor, which leads to a significant reduction in body weight in mice by activating the STAT3 signaling pathway. Meanwhile, in another study Sookoian et al. [21] suggested a potential role of the STAT3 polymorphisms and their haplotypes in susceptibility to NAFLD and disease severity. Genetic variants in STAT3 might therefore be connected with the discrepancies between the results of the above-mentioned studies on an animal model and our study.
Considering the conflicting outcomes of animal model studies and our results, and knowing the role of STC-2 in different processes in humans, we cannot rule out that the higher STC-2 levels found in our study in obese children and its higher concentration in advanced steatosis could be explained by upregulation of STC-2 as an adaptation to oxidative stress and a response to inflammation in the liver.
Physiological parameters regulating levels of the IGFBP-4/STC-2/PAPP-A axis in humans were presented by Panagiotou et al. [22]. The authors found that female gender and percentage of total body fat were positively correlated with STC-2 levels; however, the study involved healthy, young adult participants with normal BMI, and in our study we did not find a correlation between STC-2 and sex or parameters of body mass analysis in the cohort of children with obesity.
Results similar to ours were observed by Lake et al. [23]. The aim of their study was to determine the coordinated regulation of ER stress-associated genes in the progressive stages of human NAFLD. Human liver samples were categorized as normal, steatosis, NASH (“fatty”), and NASH (“not fatty”). The samples were analyzed by protein expression and mRNA. STC-2 mRNA and protein were significantly upregulated among NASH samples. The authors concluded that STC-2 may have an important role in the initiation of adaptive mechanisms given previous accounts of its cytoprotective properties during disease. These results are consistent with the findings of our study and may support our analysis.
Pourteymour et al. [24] used mRNA sequencing as an untargeted approach to identify novel myokines regulated by acute or long-term exercise in middle-aged, sedentary, overweight men. Among other numerous transcripts, the authors found discrepancies between STC-2 levels in vitro and in vivo: STC-2 was more highly expressed in differentiated human myotubes, as compared to skeletal muscle biopsies.
On the other hand, Lopez et al. [25] found that adult diabetic patients who presented the highest glycosylated hemoglobin values exhibited the lowest STC-2 expression. The authors hypothesized that STC-2 might be a part of adaptive signaling pathways and enhanced STC-2 expression might be a protective mechanism. This conclusion may also explain the findings of our study.
Ortega et al. [26], in their pioneer study, analyzed expression of the components of the IGF-1/PAPP-A/STC-2 axis in the vein wall in adult patients with chronic venous disease. The authors found an increase in genetic and protein expression of PAPP-A and a decrease in STC-2 expression in the vein wall, concluding that those parameters perform essential functions in response to oxidative stress or endoplasmic reticulum stress. In our research, we assessed PAPP-A and STC-2 in serum, not directly in the place of inflammation and tissue damage, which might explain the conflicting results.
Data concerning the IGFBP-4/PAPP-A/STC-2 axis in the pediatric population are scarce. Woelfle et al. reported a higher serum IGFBP-4 level in obese children, in comparison to lean controls, whereas PAPP-A serum levels did not differ between obese and lean children [27]. In our research, the result concerning IGFBP-4 was similar, but PAPP-A concentration in our cohort was higher compared to lean controls. In contrast to our study, the authors did not assess the serum concentration of STC-2.
The strength of our study lies in finding a potential non-invasive marker not only to detect liver steatosis in children but also to differentiate degrees of steatosis. Nevertheless, our research is the first to highlight the importance of IGFBP-4/PAPP-A/STC-2 markers in liver steatosis in children. The fatty liver index has proven invalid in children in predicting liver steatosis, which was also confirmed in our study.
However, our study also has a number of potential limitations. First, the sample size is relatively small and for that reason we consider it as a preliminary study. Additional studies are required to validate our observations. Secondly, the gold standard in NAFLD diagnosis is liver biopsy; however, due to its invasiveness it is not routinely performed in the pediatric population. Moreover, our patients did not meet the criteria to undergo liver biopsy according to the ESPGHAN Hepatology Committee.

CONCLUSIONS

In this preliminary study we found that STC-2 is elevated in obese children, correlates with biochemical markers of insulin resistance and hepatocyte injury, and differentiates patients with mild and severe liver steatosis, and therefore can be regarded as a novel non-invasive biomarker of liver steatosis in children. The other analyzed parameters (PAPP-A and IGFBP-4) seem not to be useful in diagnosis of liver steatosis in obese children.

DISCLOSURE

The authors declare no conflict of interest.

REFERENCES

1. Califf RM. Biomarker definitions and their applications. Exp Biol Med (Maywood) 2018; 243: 213-221.
2. Lebensztejn DM, Wierzbicka A, Socha P, et al. Cytokeratin-18 and hyaluronic acid levels predict liver fibrosis in children with non- alcoholic fatty liver disease. Acta Biochim Pol 2011; 58: 563-566.
3. Flisiak-Jackiewicz M, Bobrus-Chociej A, Tarasów E, Wojtkowska M, Białokoz-Kalinowska I, Lebensztej D. Predictive role of interleukin-18 in liver steatosis in obese children. Can J Gastroenterol Hepatol 2018; ID 3870454.
4. Bobrus-Chociej A, Wasilewska N, Harasim-Symbor E, et al. Lack of change in serum sCD36 concentration in children with non- alcoholic fatty liver disease – a preliminary study. Adv Med Sci 2021; 66: 35-40.
5. Bobrus-Chociej A, Daniluk U, Flisiak-Jackiewicz M, et al. Estimation of gamma-glutamyl transferase as a suitable simple biomarker of the cardiovascular risk in children with non-alcoholic fatty liver disease. Acta Biochim Pol 2018; 65: 539-544.
6. Flisiak-Jackiewicz M, Bobrus-Chociej A, Wasilewska N, et al. Can hepatokines be regarded as novel non-invasive serum biomarkers of intrahepatic lipid content in obese children? Adv Med Sci 2019; 64: 280-284.
7. Hjortebjerg R. IGFBP-4 and PAPP-A in normal physiology and disease. Growth Horm IGF Res 2018; 41: 7-22.
8. Joshi AD. New insights into physiological and pathophysiological functions of stanniocalcin 2. Front Endocrinol 2020; 11: 172.
9. Parafati M, Kirby RJ, Khorasanizadeh S, Rastinejad F, Malany S. A nonalcoholic fatty liver disease model in human induced pluripotent stem cell-derived hepatocytes, created by endoplasmic reticulum stress-induced steatosis. Dis Model Mech 2018; 11: dmm033530.
10. Jepsen MR, Kloverpris S, Mikkelsen JH, et al. Stanniocalcin-2 inhibits mammalian growth by proteolytic inhibition of the insulin-like growth factor axis. J Biol Chem 2015; 290: 3430-3439.
11. Steffensen LB, Conover CA, Bjorklund MM, Ledet T, Bentzon JF, Oxvig C. Stanniocalcin-2 overexpression reduces atherosclerosis in hypercholesterolemic mice. Atherosclerosis 2016; 248: 36-43.
12. Fujimoto M, Hwa V, Dauber A. Novel modulators of the growth hormone – insulin-like growth factor axis: pregnancy-associated plasma protein-A2 and stanniocalcin-2. J Clin Res Pediatr Endocrinol 2017; 9: 1-8.
13. Dietrich P, Hellerbrand C. Non-alcoholic fatty liver disease, obesity and the metabolic syndrome. Best Pract Res Clin Gastroenterol 2014; 28: 637-653.
14. World Health Organization. Waist Circumference and Waist-Hip Ratio. Report of a WHO Expert Consultation. Geneva, 8–11 December 2008. WHO Press, World Health Organization 2011, Geneva, Switzerland. http://www.who.int/nutrition/publications/obesity/WHO_report_waistcircumference_and_waisthip_ratio/en/.
15. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. HOMA-IR and beta-cell function from fasting plasma glucose and insulin concentration in man. Diabetologia 1985; 28: 412-419.
16. Saverymuttu SH, Joseph AE, Maxwell JD. Ultrasound scanning in the detection of hepatic fibrosis and steatosis. Br Med J 1986; 292: 13-15.
17. Zhao J, Jiao Y, Song Y, et al. Stanniocalcin 2 ameliorates hepatosteatosis through activation of STAT3 signaling. Front Physiol 2018; 9: 873.
18. Yang S, Ji Q, Chang B, et al. STC-2 promotes head and neck squamous cel carcinoma metastasis through modulating the PI3K/AKT/Snail signaling. Oncotarget 2017; 8: 5976-5991.
19. Zhou J, Li Y, Yang I, et al. Stanniocalcin 2 improved osteoblastdifferentiation via phosphorylation of ERK. Mol Med Rep 2016; 14: 5653-5659.
20. Jiao Y, Zhao J, Shi G, et al. Stanniocalcin 2 acts as an anorectic factor through activation of STAT3 pathway. Oncotarget 2017; 8: 91067-91075.
21. Sookoian S, Castano G, Gianotti TF, Gemma C, Roselli MS, Pirola CJ. Genetic variants in STAT3 are associated with non-alcoholic fatty liver disease. Cytokine 2008; 44: 201-206.
22. Panagiotou G, Anastasilakis AD, Kynigopoulos G, et al. Physiological parameters regulating levels of the IGFBP-4/STC-2/PAPPA axis. Metab Clin Exp 2017; 75: 16-24.
23. Lake AD, Novak P, Hardwick RN, et al. The adaptive endoplasmic reticulum stress response to lipotoxicity in progressive human nonalcoholic fatty liver disease. Toxicol Sci 2014; 137: 26-35.
24. Pourteymour S, Eckardt K, Holen T. Global mRNA sequencing of human skeletal muscle: search for novel exercise-regulated myokines. Mol Metab 2017; 6: 352- 365.
25. Lopez JJ, Jardin I, Chamorro CC, Duran ML. Involvement of stanniocalcins in the deregulation of glycaemia in obese mice and type 2 diabetec patients. J Clin Mol Med 2018; 22: 684-694.
26. Ortega MA, Fraile-Martinez O, Asunsolo A, Martinez-Vivero C, Pekarek L. Chronic venous disease patients showed altered expression of IGF-1/PAPP-A/STC-2 axis in the vein wall. BioMed Res Int 2020; 2020: 6782659.
27. Woelfle J, Roth C, Wunsch R, Reinehr T. Pregnancy-associated plasma protein A in obese children: relationship to markers and risk factors of atherosclerosis and members of the IGF system. Eur J Endocrin 2011; 165: 613-622.
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