Serum Spexin is Correlated with Lipoprotein(a) and Androgens in Female Adolescents
by
, , and
Flora Bacopoulou
1,2,*
,
Despoina Apostolaki
1, 
Aimilia Mantzou
2,
Artemis Doulgeraki
3,
Artur Pałasz
4,
Pantelis Tsimaris
5,
Eleni Koniari
2 and
Vasiliki Efthymiou
1 1
Center for Adolescent Medicine and UNESCO Chair on Adolescent Health Care, First Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, Aghia Sophia Children’s Hospital, 1 Thivon Street, Goudi, 115 27 Athens, Greece
2
Unit of Clinical and Translational Research in Endocrinology, First Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, 1 Thivon Street, Goudi, 115 27 Athens, Greece
3
Department of Bone and Mineral Metabolism, Institute of Child Health, Aghia Sophia Children’s Hospital, 1 Thivon Street, Goudi, 115 27 Athens, Greece
4
Department of Histology, School of Medicine in Katowice, Medical University of Silesia, ul. Medykow 18, 40-752 Katowice, Poland
5
Division of Pediatric-Adolescent Gynecology and Reconstructive Surgery, Second Department of Obstetrics and Gynecology, National and Kapodistrian University of Athens, Aretaieio Hospital, 76 Vasilissis Sofias Avenue, 115 28 Athens, Greece
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2019, 8(12), 2103; https://doi.org/10.3390/jcm8122103
Submission received: 24 October 2019
/
Revised: 23 November 2019
/
Accepted: 26 November 2019
/
Published: 2 December 2019
(This article belongs to the Section Endocrinology & Metabolism)
Abstract
:The Spexin gene is considered the most dysregulated in obese human fat. Limited data suggest that the novel peptide spexin may potentially impact food intake, weight regulation and body adiposity. The aim of this case-control study was to compare fasting serum spexin concentrations between normal weight (NW) and overweight/obese (OB/OW) adolescent females and explore the relationship between circulating spexin and anthropometric, bone and fat mass, metabolic and hormonal parameters. Eighty post-menarcheal females (mean age ± SD 16.23 ± 2.26 years); 55 NW (mean BMI ± SD 19.72 ± 2.52 kg/m2) and 25 OB/OW (mean BMI ± SD 29.35 ± 3.89 kg/m2) participated in the study. Circulating spexin levels did not differ significantly (p = 0.378) between NW (median (interquartile range), 0.26 (0.17) ng/mL) and OB/OW (median (interquartile range), 0.28 (0.06) ng/mL) adolescents and did not correlate with BMI (rs = −0.090, p = 0.438), % body fat (rs = −0.173, p = 0.409), glucose or insulin resistance indices derived from fasting and oral glucose tolerance states. In the total study sample, spexin concentrations correlated positively with lipoprotein(a) (rs = 0.402, p = 0.046). In the OB/OW adolescents spexin levels correlated positively with testosterone (rs = 0.727, p = 0.011) and free androgen index (rs = 0.755, p = 0.007). In the NW adolescents, spexin concentrations correlated negatively with dehydroepiandrosterone sulphate (rs = −0.445, p = 0.038). Results may suggest potential involvement of spexin in the regulation of lipoprotein(a) and of the reproductive/adrenal axis in post-menarcheal adolescent females.
Keywords:
spexin; adolescents; lipoprotein(a); testosterone; free androgen index; DHEAS; androgens; fat mass; overweight; obesity1. Introduction
Spexin is a novel peptide which was first identified through a bioinformatics approach (Markov model) [1]. Immunohistochemical analysis in rats revealed its expression in a wide range of organs including the brain, where it may act as a novel multifunctional regulatory neuropeptide [2]. Subsequent studies with microarray techniques identified the spexin gene (Ch12: orf39) as the most dysregulated in obese human fat [3,4] with an almost complete absence of expression in obese human fat tissue in comparison to non-obese fat tissue.
Limited data from human and animal studies suggest that spexin may potentially impact food intake, weight regulation and body adiposity. In animal studies (rats with dietary-induced obesity and mice), spexin decreased caloric intake, increased locomotion and affected energy regulation with subsequent weight loss [4,5]. In vitro, spexin has also reduced adipocyte uptake of long-chain fatty acids [4]. Similarly, spexin functioned as a satiety factor through differential modulation of central orexigenic and anorexigenic signals in goldfish [6].
Data regarding circulating spexin in obese vs. normal-weight children are conflicting. Kumar et al. [7] observed a reverse association between body mass index (BMI) and serum spexin levels, with obese children having significantly lower circulating spexin than normal-weight children. Similarly, in the study of Chen et al. [8], serum spexin levels were significantly decreased in obese prepubertal children compared to controls and were negatively correlated with fasting insulin and the homeostatic model assessment for insulin resistance (HOMA-IR).
However, the proposed role of spexin in childhood obesity was questioned by Hodges et al. [9], who found that spexin did not correlate with any body composition, fitness or blood measurements.
In adults, circulating spexin has been associated with obesity, glucose metabolism and age. Recent research by Kolodziejski et al. [10] showed that serum spexin levels were reduced in obese women (vs. non-obese volunteers) and were negatively correlated with BMI, HOMA-IR and insulin. Lin et al. [11] reported that spexin levels were negatively correlated with BMI, fasting glucose and with age suggesting a possible role of this peptide in aging-related functions and disorders. Likewise, Gu et al. [12] reported lower circulating spexin levels in adults with type 2 diabetes mellitus (T2DM) as well as negative correlations of circulating spexin with blood glucose and hemoglobin A1c (HbA1c). Al-Daghri et al. [13] reported significantly lower spexin concentrations in adults (particularly women) with metabolic syndrome compared to those without metabolic syndrome. In another study, Al-Daghri et al. [14] demonstrated an inverse association between spexin levels with fasting glucose in adult females with prediabetes, but not in males, suggesting a sexual dimorphism in spexin levels, which according to the authors can be explained by gender differences in glucose metabolism and insulin sensitivity due to sex steroids [15].
Spexin may therefore have a role in metabolic regulation. The aim of this study was to compare fasting serum spexin concentrations between normal weight and overweight/obese adolescent females and explore the relationship between circulating spexin levels and anthropometric, bone and fat mass, metabolic and hormonal parameters.
2. Materials and Methods
2.1. Participants
Post-menarcheal adolescent females, aged 12–18 years, who presented to the Centre for Adolescent Medicine and UNESCO Chair on Adolescent Health Care of the First Department of Pediatrics at the Aghia Sophia Children’s Hospital, from May 2016 to June 2018, were eligible to participate in the study. Exclusion criteria included pregnancy, severe comorbidity and chronic medication or contraceptive use.
The study was approved by the Ethics Committee of the Aghia Sophia Children’s Hospital (project identification code 28126/09-12-15) and was in accordance with the Helsinki Declaration. Written consent was obtained from each adolescent and/or parent after full explanation of the purpose and nature of all procedures used.
2.2. Anthropometric Measurements
Weight (Wt), height (Ht), waist circumference (WC) and hip circumference (HC) were measured in all adolescents barefoot and in light clothing. Weight and height were measured by an electronic scale with stadiometer (seca 217, Hamburg, Germany). Waist and hip circumferences were measured with the use of an inextensible anthropometric tape (seca 201, Hamburg, Germany). Measurements were rounded to the nearest 0.1 cm.
2.3. Bone Mineral Density (BMD) and Body Fat Assessment
Study participants underwent a dual-energy X-ray absorptiometry (DXA) scan with enhanced pediatric software (General Electric Lunar Prodigy enCore 2008, Slough, UK) for assessment of bone and fat mass. Before scanning, a daily quality assessment was performed by the same radiologist using proper calibration phantoms, as per the manufacturer’s protocol. During the procedure, adolescents should wear light, metal-free clothing.
Bone status was evaluated by measurement of areal BMD (g/cm2) at two sites: the lumbar spine (LS, L1–L4) and the whole body without the head (WB). Measurement precision, as reflected by the coefficient of variation (CV), was 1.5% for lumbar spine BMD and 1.1% for subcranial whole body BMD. The results were presented as age and gender-matched BMD z-scores provided by the DXA manufacturer (pediatric Italian reference population). All patients with Ht <10th centile had their BMD z-scores corrected based on Ht-age, in accordance with pediatric guidelines for DXA interpretation [16].
For the purposes of this study and to highlight the possible association between circulating spexin levels and adiposity, body fat percentage (BF%) was also recorded and was automatically available from the WB scan.
2.4. Blood Sampling
Blood samples were collected from each participant in the morning between 08:00 and 09:00, after an overnight 8–10 h fast, between day 2 and day 5 of the menstrual cycle. Metabolic and hormonal parameters were analyzed immediately and the supernatant serum was kept frozen at −80 °C pending spexin assay. Participants were also evaluated with a 2-h oral glucose tolerance test (OGTT) for measurement of serum glucose and insulin concentrations at 0, 30, 60, 90 and 120 min.
2.5. Measurements of Metabolic Parameters
Serum concentrations of glucose, triglycerides (TG), total cholesterol (CHOL), high-density lipoprotein cholesterol (HDL), low-density lipoprotein cholesterol (LDL) and alkaline phosphatase (ALP) were measured on an Architect Clinical Chemistry Analyzer (ABBOTT Diagnostics Ltd.). Lipoprotein(a) (Lp(a)) serum levels were measured using nephelometry, on the APTEC/KONELAB 60 automated analyzer. Apolipoprotein A1 (ApoA1), apolipoprotein B (ApoB) and apolipoprotein E (ApoE) were measured using latex particle-enhanced immunonephelometric assay on the BN PROSPECNEPHELOMETER (Siemens Healthcare Diagnostics, Liederbach, Germany). The intra-assay and inter-assay CV for ApoA1, ApoB, ApoE and Lp(a) did not exceed 5%. Serum interleukin 6 (IL-6) was measured using the BMS213HS ELISA kit from eBioscence Bender MedSystems GmbH. The method analytical sensitivity was 0.03 pg/mL, the calculated overall intra-assay CV was 4.9% and the overall inter-assay CV was 6.0%.
2.6. Measurements of Hormonal Parameters
Serum concentrations of follicle-stimulating hormone (FSH), luteinizing hormone (LH), estradiol (E2), testosterone (T), Δ4-androstenedione (Δ4-A), dehydroepiandrosterone sulphate (DHEA-S), sex hormone-binding globulin (SHBG), insulin, cortisol, intact parathyroid hormone (iPTH) and high sensitivity C-reactive protein (hsCRP) were measured on an Immulite 2000 analyzer (Siemens Healthcare Diagnostics Products Ltd., United Kingdom) using two-site chemiluminescent immunometric assays with analytical sensitivities for FSH 0.1 IU/L, LH 0.05 IU/L, E2 55.0 pmol/L, T 0.52 nmol/L, Δ4-A 1.0 nmol/L, DHEA-S 0.08 μmol/L SHBG 0.02 nmol/L, insulin 2 μIU/mL, cortisol 0.20 μg/dL, iPTH 3.00 ng/mL and hsCRP 0.1 mg/L. The intra-assay and inter-assay precision CVs ranged between 2.9–7.9% for FSH, 3.0–7.1% for LH, 6.7–16% for E2, 5.1–11.7% for T, 3.5–13.2% for Δ4-A, 4.9–13% for DHEA-S, 2.3–6.6% for SHBG, 3.3–7.3% for insulin, 5.2–9.4% for cortisol, 7.0–12% for iPTH and 2.8–8.7% for hsCRP. Serum 25-hydroxyvitamin D [25(OH)D] was measured on the MODYLAR ANALYTICS E170 (Roche Diagnostics GmbH) automated analyzer using electrochemiluminescence. Levels of serum 17-hydroxyprogesterone (17OHP) were determined by RIA (DIAsource ImmunoAssays SA, Belgium; intra-assay CV < 7%, inter-assay CV < 10%; analytical sensitivity 0.06 nmol/L). Serum free-testosterone (free-T) was measured by RIA using DSL (Diagnostic Systems Laboratories, Inc, USA) with analytical sensitivity 0.18 pg/mL. Free androgen index (FAI) was determined by the concentrations (in nmol/L) of T and SHBG with the use of the formula FAI = 100 × T/SHBG. Clinical hyperandrogenism was measured with the modified Ferriman-Gallwey (FG) score.
Serum spexin concentrations were measured by ELISA using the Spexin (Human) EIA Kit of Phoenix Pharmaceuticals (USA) with an analytical sensitivity of 0.08 ng/mL.
2.7. Insulin Sensitivity/Resistance Assessment
Insulin sensitivity was estimated with the use of the quantitative insulin sensitivity check index (QUICKI = 1/ [log (fasting insulin in μIU/mL) + log (fasting glucose in mg/dL)). Insulin resistance was estimated by the HOMA-IR according to the formula HOMA-IR = fasting glucose (in mg/dL) × fasting insulin (in μIU/mL)/405. By using 75 g OGTT, the total plasma glucose response and insulin secretion were evaluated from the area under the glucose curve (AUC glucose) and the insulin curve (AUC insulin), respectively, estimated by the trapezoid rule. The AUCglucose/AUCinsulin ratio was also calculated.
2.8. Ovarian Measurements
Study participants underwent transabdominal ultrasonography in the follicular phase of the menstrual cycle for measurement of ovarian volumes. The volume (V) of each ovary was calculated with the use of the formula V = length × width × height × 0.523. The mean ovarian volume (MOV) was calculated for each adolescent by using the mean volume of both ovaries.
2.9. Statistical Analysis
Continuous variables are shown as mean ± standard deviation (SD) or as median and interquartile range depending on data normality. Comparisons of continuous data were carried out with the use of the student t-test after checking the assumption of homogeneity of variance or with the Mann-Whitney U test for non-parametric data. Pearson or Spearman’s rho correlation coefficients identified correlations between continuous variables. BMI was calculated as the ratio of body weight to the square of height (kg/m2) and the International Obesity Task Force [17] cut-offs were used to categorize adolescents as normal weight, overweight and obese. P values were based on 2-tailed tests and statistical significance was set at p < 0.05. Statistical analysis was carried out using the SPSS software 25 version for Windows (IBM Corp. Released 2017. IBM SPSS Statistics for Windows, Version 25.0. Armonk, NY: IBM Corp.).
3. Results
A total of 296 girls were screened for eligibility but most families declined participation due to other commitments. Eventually 80 adolescent females (mean age ± SD 16.23 ± 2.26 years); 55 normal-weight (NW group; mean age ± SD 16.69 ± 2.22 years, mean BMI ± SD 19.72 ± 2.52 kg/m2) and 25 obese/overweight (OB/OW group; mean age ± SD 15.17 ± 2.01 years, mean BMI ± SD 29.35 ± 3.89 kg/m2), agreed to participate in the study. Participants’ anthropometric, bone and fat mass, metabolic and hormonal characteristics are presented in Table 1.
Statistically significant differences between the two groups were found in BMI, Wt, BF%, WC, HC, WC/HC, FG-score, glucose, AUC glucose, insulin, AUC insulin, AUC glucose/AUC insulin, HOMA-IR, QUICKI, T, SHBG, TG, CHOL, LDL, ApoB and LS z-score (Table 1). Circulating spexin levels did not differ significantly between NW and OB/OW adolescents (p = 0.378) (Table 1, Figure 1) and did not correlate with either BMI (rs = −0.090, p = 0.438) or BF% (rs = −0.173, p = 0.409) (Table 2).
In the total study sample, serum spexin concentrations were positively correlated with Lp(a) (rs = 0.402, p = 0.046). In the OB/OW group, serum spexin levels were positively correlated with T (rs = 0.727, p = 0.011) and FAI (rs = 0.755, p = 0.007). In the NW group, serum spexin concentrations were negatively correlated with DHEA-S (rs = −0.445, p = 0.038) (Table 2).
4. Discussion
In this case-control study, normal weight and obese/overweight adolescent females were compared in terms of fasting serum spexin concentrations. The relationship between the circulating spexin levels and anthropometric, bone and fat mass, metabolic and hormonal parameters was also explored.
The sample size was small, constituting a limitation of the study. However, the NW and OB/OW groups differed significantly in terms of WC, HC, WC/HC, glucose and insulin indices at the fasting state (glucose, insulin, HOMA-IR, QUICKI), and OGTT-based (AUC glucose, AUC insulin, AUC glucose/AUC insulin), T, SHBG, FG-score, lipids (TG, CHOL, LDL, ApoB), BF% and LS z-score. As expected, BMD was higher in OB/OW adolescents compared to NW, especially at the lumbar spine. According to the literature, increased body weight is typically correlated with increased BMD, without necessarily reflecting the quality of the bone, which can be more prone to fracture, given the metabolic bone-fat cross-talk [18].
Fasting circulating spexin concentrations did not differ significantly between NW and OB/OW post-menarcheal adolescents, neither did they correlate with BMI or BF%. Our findings also do not support the role of spexin in glucose homeostasis. Furthermore, we did not demonstrate any correlation between circulating spexin and the inflammatory cytokine IL-6, which is considered the best biomarker of obesity-induced, local and systemic low-grade inflammation associated with the development of insulin resistance [19,20].
Our results are in agreement with the findings of Hodges et al. [9] who examined the effect of obesity, T2DM and glucose administration on serum spexin concentrations in adolescents of both sexes. The median fasting spexin levels were similar between NW, OB or OB with T2DM adolescents with a mean age of 16 years. Moreover, they were not correlated with biochemical parameters (glucose, insulin, and lipids) or body composition and glucose ingestion did not affect serum spexin concentrations in these adolescents. In our study, serum spexin concentrations were not correlated with glucose or any of the surrogate markers of insulin resistance/sensitivity. In line with our findings, Kumar et al. [21] in a recent study of adolescents, did not find any correlation between spexin levels and fasting glucose or HOMA-IR. There are potential explanations for the lack of correlation between spexin and glucose metabolism and insulin sensitivity indices in our female adolescents, in contrast to adults. Insulin sensitivity and glucose metabolism fluctuate as the adolescent goes through various pubertal stages, and the factors influencing these changes have not been clearly defined. Early in puberty a decrease in insulin sensitivity occurs, which resolves by the end of puberty, possibly independently of changes in BMI or adiposity. On the other hand, a strong association between insulin resistance and BMI is evident in childhood [22].
Serum spexin concentrations were positively correlated with Lp(a) in the total study sample indicating that spexin may play a role in lipid metabolism. Recent data [23] advocate a novel role of spexin in lipid metabolism of human adipocytes by stimulating lipolysis and inhibiting lipogenesis. Gu et al. [12] in a study of adults with T2DM, found negative correlations for circulating spexin with blood lipids (LDL, TG). Lin et al. [11] reported that spexin levels were significantly correlated with TG. Serum spexin concentrations correlated negatively with TG in obese children in the study of Chen et al. [8].
Lp(a) is an atherogenic lipoprotein with high concentrations implicated in cardiovascular disease. It is composed of apolipoprotein B-100 and apolipoprotein(a), which shares extensive homology with plasminogen, conferring its unique atherogenic properties [24]. The variance of Lp(a) concentrations in largely explained by genetics; however, the physiological function of Lp(a) still remains unclear [25]. Studies in recent years have demonstrated unexpected inverse associations between Lp(a) concentrations and the risk of T2DM, i.e., an increased risk of T2DM in adults with low Lp(a) concentrations [26], as well as between Lp(a) levels and both fasting insulin and 2-h (post glucose challenge) insulin and glucose concentrations [27]. Furthermore, suppression of apolipoprotein(a) by insulin in hepatocytes has been demonstrated in experimental studies [28]. Likewise, serum spexin levels were down-regulated during glucose tolerance tests in adults with T2DM [12]. Although the relevance of the positive correlation between circulating Lp(a) and spexin is not known, as it is described for the first time, this association could be mediated by mechanisms implicated in glucose homeostasis.
In the absence of effective and safe drugs [29], regulation of lipoprotein and androgen status could contribute to atherogenic fraction reduction. In that context, spexin could be further evaluated in future studies as a promising target for novel therapeutic research. As expected, testosterone and SHBG concentrations were significantly lower in the OB/OW group (vs. the NW group). The inverse relationship between obesity and testosterone can be explained by the high levels of the enzyme aromatase in adipocytes, which converts testosterone to estradiol and may therefore lower circulating testosterone [30]. Serum concentrations of SHBG are also known to be negatively associated with obesity [31,32]. Interestingly, this study demonstrated for the first time an association between fasting serum spexin concentrations with Lp(a) and androgens.
More specifically, serum spexin concentrations correlated positively with T and FAI in the OB/OW group. In obese humans, spexin is the most down-regulated gene in their fat tissue [4] and serum spexin levels in severely obese (BMI > 35 kg/m2) adult women have been negatively correlated with obesity [10]. Obesity is also known to be correlated negatively with serum testosterone [30]. In the present study, BF% was significantly (p < 0.001) higher in the OB/OW group than in the NW group. Therefore, fat tissue may have played a role in the positive association between testosterone and spexin levels in our OB/OW group, although the inclusion of moderately (and not severely) obese adolescents in this group might not allow any differences relating to fat tissue level to become apparent in circulating spexin concentrations.
In the NW group, spexin concentrations correlated negatively with DHEA-S. The spexin gene belongs to the Spexin/Galanin/Kisspeptin gene family [33] suggesting its involvement in the regulation of reproduction. Spexin has multiple physiological functions with studies in goldfish revealing that spexin inhibits the reproductive axis [34]. Moreover, research on rat adrenal glands suggests that spexin inhibits the proliferation of adrenocortical cells, but the mechanism underlying this action remains unknown [35].
5. Conclusions
In conclusion, although spexin has been reported to be down-regulated in obese children and adults, serum spexin concentrations were not significantly different between the NW and OB/OW adolescents of our study. Also, our findings do not corroborate the proposed role of spexin as a biomarker of body adiposity and glucose control in the clinical setting, as circulating spexin levels did not correlate with fat mass, glucose or insulin resistance indices derived from fasting and OGTT states. The association of spexin with Lp(a) and androgens may suggest the potential involvement of spexin in the regulation of lipoprotein(a) and of the reproductive/adrenal axis in female post-menarcheal adolescents.
As spexin research is accumulating, further investigations are needed to explore the role of this evolutionarily conserved neuropeptide in humans.
Author Contributions
Conceptualization, F.B.; Design, F.B.; Methodology, F.B and D.A.; Formal Analysis, V.E.; Investigation, F.B., D.A., A.M., A.D., P.T., E.K.; Resources, F.B.; Data Curation, F.B., A.P., V.E.; Data Interpretation, F.B., D.A., A.M., A.D., A.P., P.T., E.K.; V.E.; Writing—Original Draft Preparation, F.B., D.A., A.M., A.D., A.P., P.T., E.K., V.E.; Writing—Review & Editing, F.B., D.A., A.M., A.D., A.P., P.T., E.K., V.E.; Supervision, F.B. and V.E.; Project Administration, F.B.
Acknowledgments
The authors are responsible for the choice and presentation of views contained in this article and for opinions expressed therein, which are not necessarily those of UNESCO and do not commit the Organization to them.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Mirabeau, O.; Perlas, E.; Severini, C.; Audero, E.; Gascuel, O.; Possenti, R.; Birney, E.; Rosenthal, N.; Gross, C. Identification of novel peptide hormones in the human proteome by hidden Markov model screening. Genome Res 2007, 17, 320–327. [Google Scholar] [CrossRef] [PubMed]
- Porzionato, A.; Rucinski, M.; Macchi, V.; Stecco, C.; Malendowicz, L.K.; De Caro, R. Spexin expression in normal rat tissues. J. Histochem. Cytochem. 2010, 58, 825–837. [Google Scholar] [CrossRef] [PubMed]
- Walewski, J.L.; Ge, F.; Gagner, M.; Inabnet, W.B.; Pomp, A.; Branch, A.D.; Berk, P.D. Adipocyte accumulation of long-chain fatty acids in obesity is multifactorial, resulting from increased fatty acid uptake and decreased activity of genes involved in fat utilization. Obes. Surg. 2010, 20, 93–107. [Google Scholar] [CrossRef] [PubMed]
- Walewski, J.L.; Ge, F.; Lobdell, H., 4th; Levin, N.; Schwartz, G.J.; Vasselli, J.; Pomp, A.; Dakin, G.; Berk, P.D. Spexin is a novel human peptide that reduces adipocyte uptake of long chain fatty acids and causes weight loss in rodents with diet-induced obesity. Obesity 2014, 22, 1643–1652. [Google Scholar] [CrossRef] [PubMed]
- Ge, J.F.; Walewski, J.L.; Anglade, D.; Berk, P.D. Regulation of hepatocellular fatty acid uptake in mouse models of fatty liver disease with and without functional leptin signaling: Roles of NfKB and SREBP-1C and the effects of spexin. Semin. Liver. Dis. 2016, 36, 360–372. [Google Scholar] [CrossRef]
- Wong, M.K.; Sze, K.H.; Chen, T.; Cho, C.K.; Law, H.C.; Chu, I.K.; Wong, A.O. Goldfish spexin: Solution structure and novel function as a satiety factor in feeding control. Am. J. Physiol. Endocrinol. Metab. 2013, 305, 348–366. [Google Scholar] [CrossRef]
- Kumar, S.; Hossain, J.; Nader, N.; Aguirre, R.; Sriram, S.; Balagopal, P.B. Decreased circulating levels of spexin in obese children. J. Clin. Endocrinol. Metab. 2016, 101, 2931–2936. [Google Scholar] [CrossRef]
- Chen, T.; Wang, F.; Chu, Z.; Sun, L.; Lv, H.; Zhou, W.; Shen, J.; Chen, L.; Hou, M. Circulating spexin decreased and negatively correlated with systemic insulin sensitivity and pancreatic β cell function in obese children. Ann. Nutr. Metab. 2019, 74, 125–131. [Google Scholar] [CrossRef]
- Hodges, S.K.; Teague, A.M.; Dasari, P.S.; Short, K.R. Effect of obesity and type 2 diabetes, and glucose ingestion on circulating spexin concentration in adolescents. Pediatric Diabetes 2018, 19, 212–216. [Google Scholar] [CrossRef]
- Kolodziejski, P.A.; Pruszynska-Oszmalek, E.; Korek, E.; Sassek, M.; Szczepankiewicz, D.; Kaczmarek, P.; Nogowski, L.; Mackowiak, P.; Nowak, K.W.; Krauss, H.; et al. Serum levels of spexin and kisspeptin negatively correlate with obesity and insulin resistance in women. Physiol. Res. 2018, 67, 45–56. [Google Scholar] [CrossRef]
- Lin, C.Y.; Huang, T.; Zhao, L.; Zhong, L.L.D.; Lam, W.C.; Fan, B.M.; Bian, Z.X. Circulating spexin levels negatively correlate with age, BMI, fasting glucose, and triglycerides in healthy adult women. J. Endocr. Soc. 2018, 2, 409–419. [Google Scholar] [CrossRef] [PubMed]
- Gu, L.; Ma, Y.; Gu, M.; Zhang, Y.; Yan, S.; Li, N.; Wang, Y.; Ding, X.; Yin, J.; Fan, N.; et al. Spexin peptide is expressed in human endocrine and epithelial tissues and reduced after glucose load in type 2 diabetes. Peptides 2015, 71, 232–239. [Google Scholar] [CrossRef] [PubMed]
- Al-Daghri, N.M.; Alenad, A.; Al-Hazmi, H.; Amer, O.E.; Hussain, S.D.; Alokail, M.S. Spexin levels are associated with metabolic syndrome components. Dis. Markers 2018, 2018, 1679690. [Google Scholar] [CrossRef] [PubMed]
- Al-Daghri, N.M.; Wani, K.; Yakout, S.M.; Al-Hazmi, H.; Amer, O.E.; Hussain, S.D.; Sabico, S.; Ansari, M.G.A.; Al-Musharaf, S.; Alenad, A.M.; et al. Favorable changes in fasting glucose in a 6-month self-monitored lifestyle modification programme inversely affects spexin levels in females with prediabetes. Sci. Rep. 2019, 9, 9454. [Google Scholar] [CrossRef] [PubMed]
- Macotela, Y.; Boucher, J.; Tran, T.T.; Kahn, C.R. Sex and depot differences in adipocyte insulin sensitivity and glucose metabolism. Diabetes 2009, 58, 803–812. [Google Scholar] [CrossRef]
- Crabtree, N.J.; Arabi, A.; Bachrach, L.K.; Fewtrell, M.; El-Hajj Fuleihan, G.; Kecskemethy, H.H.; Jaworski, M.; Gordon, C.M.; International Society for Clinical Densitometry. Dual-energy X-ray absorptiometry interpretation and reporting in children and adolescents: The revised 2013 ISCD Pediatric Official Positions. J. Clin. Densitom. 2014, 17, 225–242. [Google Scholar] [CrossRef]
- Cole, T.J.; Bellizi, M.C.; Flegal, K.M.; Dietz, W.H. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ 2000, 320, 1240–1243. [Google Scholar] [CrossRef]
- Misra, M.; Klibanski, A. Anorexia nervosa, obesity and bone metabolism. Pediatric Endocrinol. Rev. 2013, 11, 21–33. [Google Scholar]
- Weisberg, S.P.; McCann, D.; Desai, M.; Rosenbaum, M.; Leibel, R.L.; Ferrante, A.W., Jr. Obesity is associated with macrophage accumulation in adipose tissue. J. Clin. Investig. 2003, 112, 1796–1808. [Google Scholar] [CrossRef]
- Kern, L.; Mittenbühler, M.J.; Vesting, A.J.; Ostermann, A.L.; Wunderlich, C.M.; Wunderlich, F.T. Obesity-Induced TNFα and IL-6 Signaling: The Missing Link between Obesity and Inflammation-Driven Liver and Colorectal Cancers. Cancers 2018, 11, 24. [Google Scholar] [CrossRef]
- Kumar, S.; Hossain, M.J.; Javed, A.; Kullo, I.J.; Balagopal, P.B. Relationship of circulating spexin with markers of cardiovascular disease: A pilot study in adolescents with obesity. Pediatric Obes. 2018, 13, 374–380. [Google Scholar] [CrossRef] [PubMed]
- Moran, A.; Jacobs, D.R.; Steinberger, J.; Hong, C.-P.; Prineas, R.; Luepker, R.; Sinaiko, A.R. Insulin resistance during puberty: Results from clamp studies in 357 children. Diabetes 1999, 48, 2039–2044. [Google Scholar] [CrossRef] [PubMed]
- Kolodziejski, P.A.; Pruszynska-Oszmalek, E.; Micker, M.; Skrzypski, M.; Wojciechowicz, T.; Szwarckopf, P.; Skieresz-Szewczyk, K.; Nowak, K.W.; Strowski, M.Z. Spexin: A novel regulator of adipogenesis and fat tissue metabolism. Biochim. Biophys. Acta Mol. Cell Biol. Lipids 2018, 1863, 1228–1236. [Google Scholar] [CrossRef] [PubMed]
- Tada, H.; Takamura, M.; Kawashiri, M.A. Lipoprotein(a) as an old and new causal risk factor of atherosclerotic cardiovascular disease. J. Atheroscler. Thromb. 2019, 26, 583–591. [Google Scholar] [CrossRef] [PubMed]
- Kronenberg, F.; Utermann, G. Lipoprotein(a): Resurrected by genetics. J. Intern. Med. 2013, 273, 6–30. [Google Scholar] [CrossRef]
- Mora, S.; Kamstrup, P.R.; Rifai, N.; Nordestgaard, B.G.; Buring, J.E.; Ridker, P.M. Lipoprotein(a) and risk of type 2 diabetes. Clin. Chem. 2010, 56, 1252–1260. [Google Scholar] [CrossRef]
- Rainwater, D.L.; Haffner, S.M. Insulin and 2-hour glucose levels are inversely related to Lp(a) concentrations controlled for LPA genotype. Arterioscler. Thromb. Vasc. Biol. 1998, 18, 1335–1341. [Google Scholar] [CrossRef]
- Neele, D.M.; de Wit, E.C.; Princen, H.M. Insulin suppresses apolipoprotein(a) synthesis by primary cultures of cynomolgus monkey hepatocytes. Diabetologia 1999, 42, 41–44. [Google Scholar] [CrossRef]
- Gencer, B.; Kronenberg, F.; Stroes, E.S.; Mach, F. Lipoprotein(a): The revenant. Eur. Heart J. 2017, 38, 1553–1560. [Google Scholar] [CrossRef]
- Kelly, D.M.; Jones, T.H. Testosterone and obesity. Obes. Rev. 2015, 16, 581–606. [Google Scholar] [CrossRef]
- Garaulet, M.; Perex-Llamas, F.; Fuente, T.; Zamora, S.; Tebar, F.J. Anthropometric, computed tomography and fat cell data in an obese population: Relationship with insulin, leptin, tumor necrosis factor-alpha, sex hormone-binding globulin and sex hormones. Eur. J. Endocrinol. 2000, 143, 657–666. [Google Scholar] [CrossRef] [PubMed]
- Tsai, E.C.; Matsumoto, A.M.; Fujimoto, W.Y.; Boyko, E.J. Association of bioavailable, free, total testosterone with insulin resistance: Influence of sex hormone-binding globulin and body fat. Diabetes Care 2004, 27, 861–868. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kim, D.K.; Yun, S.; Son, G.H.; Hwang, J.I.; Park, C.R.; Kim, J.I.; Kim, K.; Vaudry, H.; Seong, J.Y. Coevolution of the spexin/galanin/kisspeptin family: Spexin activates galanin receptor type II and III. Endocrinology 2014, 155, 1864–1873. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Liu, Y.; Li, S.; Qi, X.; Zhou, W.; Liu, X.; Lin, H.; Zhang, Y.; Cheng, C.H. A novel neuropeptide in suppressing luteinizing hormone release in goldfish, Carassius auratus. Mol. Cell Endocrinol. 2013, 374, 65–72. [Google Scholar] [CrossRef] [PubMed]
- Rucinski, M.; Porzionato, A.; Ziolkowska, A.; Szyszka, M.; Macchi, V.; De Caro, R.; Malendowicz, L.K. Expression of the spexin gene in the rat adrenal gland and evidences suggesting that spexin inhibits adrenocortical cell proliferation. Peptides 2010, 31, 676–682. [Google Scholar] [CrossRef] [PubMed]
Figure 1.
Differences in fasting serum spexin concentrations between normal weight and obese/overweight (OB/OW) female adolescents.
Figure 1.
Differences in fasting serum spexin concentrations between normal weight and obese/overweight (OB/OW) female adolescents.
Table 1.
Anthropometric, bone and fat mass, metabolic and hormonal characteristics of the study sample.
Table 1.
Anthropometric, bone and fat mass, metabolic and hormonal characteristics of the study sample.
| Total Sample (n = 80) | NW Group (n = 55) | OB/OW Group (n = 25) | p | |
|---|---|---|---|---|
| BMI (kg/m2) | 22.72 ± 5.40 | 19.72 ± 2.52 | 29.35 ± 3.89 | <0.001 |
| Spexin (ng/mL) § | 0.27 (0.15) | 0.26 (0.17) | 0.28 (0.06) | 0.378 |
| BF (%) | 36.43 ± 9.34 | 29.13 ± 4.56 | 44.33 ± 6.05 | <0.001 |
| Ht (cm) | 163.62 ± 6.15 | 164.42 ± 5.48 | 162.75 ± 6.81 | 0.342 |
| Wt (kg) | 66.60 ± 16.34 | 55.50 ± 5.27 | 78.62 ± 15.77 | <0.001 |
| WC (cm) § | 77.00 (14.00) | 69.00 (11.50) | 84.00 (15.00) | <0.001 |
| HC (cm) | 103.39 ± 10.32 | 96.09 ± 5.63 | 107.05 ± 10.26 | 0.003 |
| WC/HC § | 0.76 (0.09) | 0.73 (0.07) | 0.78 (0.09) | 0.019 |
| FG-score | 8.47 ± 5.96 | 6.68 ± 4.85 | 11.29 ± 6.60 | 0.022 |
| TG (mmol/L) § | 0.93 (0.53) | 0.68 (0.44) | 1.05 (0.45) | 0.013 |
| Glucose (mmol/L) | 4.95 ± 0.51 | 4.75 ± 0.54 | 5.18 ± 0.37 | 0.002 |
| AUC glucose (mmol/L) | 793.03 ± 125.44 | 716.60 ± 94.28 | 838.88 ± 121.51 | 0.017 |
| Insulin (pmol/L) § | 71.88 (65.63) | 48.20 (41.04) | 95.15 (87.99) | <0.001 |
| AUC insulin § (pmol/L) | 69,109.70 (56,754.54) | 47,566.31 (12,885.41) | 99,414.20 (57,473.35) | <0.001 |
| AUC glucose/AUC insulin § | 1.40 (0.91) | 1.82 (0.59) | 0.92 (0.57) | 0.002 |
| HOMA-IR § | 2.19 (2.06) | 1.36 (1.12) | 3.26 (3.44) | <0.001 |
| QUICKI | 0.34 ± 0.03 | 0.36 ± 0.03 | 0.32 ± 0.02 | <0.001 |
| LH (IU/L) § | 5.40 (4.51) | 5.68 (4.60) | 4.62 (3.96) | 0.130 |
| FSH (IU/L) | 5.27 ± 1.17 | 5.29 ± 1.13 | 5.25 ± 1.28 | 0.928 |
| E2 (pmol/L) | 148.05 ± 45.30 | 146.51 ± 47.94 | 150.51 ± 42.47 | 0.800 |
| T (nmol/L) | 6.66 ± 3.68 | 7.46 ± 4.13 | 5.03 ± 1.74 | 0.022 |
| Free-T (pmol/L) § | 7.56 (7.08) | 7.22 (8.54) | 7.81 (10.27) | 0.220 |
| DHEA-S (μmol/L) | 6.20 ± 3.16 | 5.54 ± 2.60 | 7.24 ± 3.76 | 0.118 |
| Δ4-A (nmol/L) | 11.10 ± 4.75 | 10.54 ± 5.34 | 11.97 ± 3.63 | 0.383 |
| SHBG (nmol/L) § | 33.75 (22.88) | 40.70 (23.58) | 24.55 (13.15) | 0.011 |
| FAI § | 4.50 (5.20) | 4.50 (6.95) | 6.40 (3.60) | 0.693 |
| 17OHP (nmol/L) § | 3.42 (2.30) | 3.42 (2.51) | 3.24 (1.39) | 0.699 |
| MOV (mL) § | 10.50 (6.38) | 10.50 (8.00) | 10.00 (5.11) | 0.938 |
| WB z-score | 0.45 ± 0.91 | 0.06 ± 0.95 | 0.78 ± 0.77 | 0.065 |
| LS z-score | 0.36 ± 1.12 | -0.19 ± 1.04 | 0.83 ± 0.99 | 0.030 |
| ALP (IU/L) § | 83.00 (29.00) | 86.00 (28.25) | 80.00 (54.00) | 0.892 |
| iPTH (pmol/L) | 5.32 ± 2.22 | 5.39 ± 1.64 | 5.27 ± 2.62 | 0.895 |
| 25(OH)D (nmol/L) | 53.59 ± 19.02 | 57.58 ± 17.20 | 50.67 ± 20.32 | 0.370 |
| Cortisol (nmol/L) § | 455.24 (193.13) | 463.51 (126.09) | 366.95 (466.55) | 0.879 |
| hsCRP (nmol/L) § | 11.62 (11.43) | 8.95 (8.95) | 13.43 (37.14) | 0.190 |
| IL-6 (ng/mL) § | 0.75 (0.66) | 0.78 (0.78) | 0.68 (0.63) | 0.935 |
| CHOL (nmol/L) | 4.31 ± 0.87 | 3.69 ± 0.48 | 4.72 ± 0.82 | 0.001 |
| HDL (nmol/L) | 1.32 ± 0.25 | 1.39 ± 0.30 | 1.28 ± 0.21 | 0.240 |
| LDL (nmol/L) | 2.44 ± 0.76 | 1.91 ± 0.43 | 2.83 ± 0.73 | 0.001 |
| ApoA1 (g/L) | 1.33 ± 0.16 | 1.375 ± 0.18 | 1.31 ± 0.15 | 0.297 |
| ApoB (g/L) | 0.70 ± 0.20 | 0.58 ± 0.15 | 0.79 ± 0.18 | 0.004 |
| ApoE (g/L) | 0.04 ± 0.01 | 0.04 ± 0.02 | 0.04 ± 0.01 | 0.375 |
| Lp(a) (g/L) § | 0.09 (0.19) | 0.09 (0.16) | 0.09 (0.19) | 0.609 |
| PRL (nmol/L) § | 4.79 (0.52) | 0.67 (0.56) | 0.42 (0.28) | 0.097 |
NW: normal weight; OB/OW: obese/overweight; BMI: body mass index; BF: body fat; Ht: height; Wt: weight; WC: waist circumference; HC: hip circumference; FG-score: Ferriman–Gallwey score; TG: triglycerides; AUC: area under the curve; HOMA-IR: homeostatic model assessment for insulin resistance; QUICKI: quantitative insulin sensitivity check index; LH: luteinizing hormone; FSH: follicle stimulating hormone; E2: estradiol; T: testosterone; free-T: free-testosterone; DHEA-S: dehydroepiandrosterone sulfate; Δ4-A: Δ4-androstenedione; SHBG: sex hormone-binding globulin; FAI: free androgen index; 17OHP: 17-hydroxyprogesterone; MOV: mean ovarian volume; WB: whole body; LS: lumbar spine; ALP: alkaline phosphatase; iPTH: intact parathyroid hormone; 25 (OH)D: 25-hydroxyvitamin D; hsCRP: high sensitivity C-reactive protein; IL-6: interleukin 6; CHOL: cholesterol; HDL: high-density lipoprotein cholesterol; LDL: low-density lipoprotein cholesterol; ApoA1: apolipoprotein A1; ApoB: apolipoprotein B; ApoE: apolipoprotein E; Lp(a): lipoprotein(a); PRL: prolactin. Values are expressed as mean ± standard deviation (SD) or § median (interquartile range). The p-Value was calculated using the t-test after the assumption of homogeneity of variance or § Mann-Whitney U test.
Table 2.
Spearman rho correlation coefficients between fasting serum spexin concentrations and study sample characteristics.
Table 2.
Spearman rho correlation coefficients between fasting serum spexin concentrations and study sample characteristics.
| Total Sample | OB/OW Group | NW Group | ||||
|---|---|---|---|---|---|---|
| rs | p | rs | p | rs | p | |
| Age (years) | −0.138 | 0.226 | 0.260 | 0.219 | −0.215 | 0.115 |
| BMI (kg/m2) | −0.090 | 0.438 | −0.160 | 0.454 | −0.253 | 0.067 |
| BF (%) | −0.173 | 0.409 | 0.266 | 0.404 | −0.135 | 0.661 |
| Ht (cm) | 0.077 | 0.596 | 0.190 | 0.374 | −0.017 | 0.935 |
| Wt (kg) | 0.044 | 0.763 | −0.041 | 0.848 | 0.026 | 0.901 |
| WC (cm) | 0.032 | 0.861 | 0.108 | 0.632 | −0.123 | 0.719 |
| HC (cm) | 0.041 | 0.821 | 0.387 | 0.075 | −0.543 | 0.085 |
| WC/HC | 0.027 | 0.879 | −0.114 | 0.615 | 0.259 | 0.441 |
| FG-score | 0.092 | 0.594 | 0.333 | 0.245 | −0.132 | 0.559 |
| TG (mg/dL) | −0.232 | 0.174 | −0.342 | 0.102 | −0.042 | 0.897 |
| Glucose (mg/dL) | 0.039 | 0.789 | −0.396 | 0.056 | 0.217 | 0.287 |
| AUC glucose (mg/dL) | −0.118 | 0.582 | 0.181 | 0.519 | −0.25 | 0.516 |
| Insulin (μIU/mL) | 0.102 | 0.483 | −0.150 | 0.484 | 0.203 | 0.319 |
| AUC insulin (μIU/mL) | 0.213 | 0.317 | 0.309 | 0.262 | 0.017 | 0.966 |
| AUC glucose/AUC insulin | −0.331 | 0.114 | −0.342 | 0.212 | −0.267 | 0.488 |
| HOMA-IR | 0.101 | 0.487 | −0.221 | 0.300 | 0.218 | 0.284 |
| QUICKI | −0.099 | 0.494 | 0.209 | 0.327 | −0.213 | 0.296 |
| LH (mIU/mL) | −0.056 | 0.744 | 0.503 | 0.067 | −0.214 | 0.326 |
| FSH (mIU/mL) | −0.034 | 0.843 | 0.068 | 0.817 | −0.068 | 0.759 |
| E2 (pg/mL) | 0.018 | 0.919 | 0.314 | 0.274 | −0.132 | 0.559 |
| T (ng/mL) | −0.016 | 0.928 | 0.727 * | 0.011 | −0.147 | 0.504 |
| Free-T (ng/dL) | 0.080 | 0.662 | 0.222 | 0.446 | −0.003 | 0.99 |
| DHEA-S (μg/dL) | −0.212 | 0.216 | 0.143 | 0.626 | −0.445 * | 0.038 |
| Δ4-A (ng/mL) | −0.285 | 0.093 | −0.055 | 0.852 | −0.38 | 0.081 |
| SHBG (nmol/L) | −0.270 | 0.112 | −0.471 | 0.089 | −0.149 | 0.51 |
| FAI | 0.081 | 0.653 | 0.755 ** | 0.007 | −0.105 | 0.642 |
| 17OHP (ng/mL) | −0.176 | 0.329 | −0.007 | 0.983 | −0.271 | 0.235 |
| MOV (mL) | −0.079 | 0.643 | −0.024 | 0.935 | −0.087 | 0.693 |
| WB z-score | −0.262 | 0.240 | −0.319 | 0.313 | −0.061 | 0.867 |
| LS z-score | −0.124 | 0.582 | −0.049 | 0.879 | −0.040 | 0.913 |
| ALP (IU/L) | −0.159 | 0.447 | −0.456 | 0.088 | 0.225 | 0.532 |
| iPTH (pg/mL) | −0.074 | 0.719 | 0.079 | 0.781 | −0.387 | 0.239 |
| 25(OH)D (ng/mL) | −0.007 | 0.972 | 0.004 | 0.990 | 0.117 | 0.732 |
| Cortisol (μg/dL) | −0.270 | 0.213 | −0.308 | 0.306 | −0.467 | 0.174 |
| hsCRP (mg/L) | 0.273 | 0.208 | 0.161 | 0.567 | 0.395 | 0.333 |
| IL-6 (ng/mL) § | −0.085 | 0.687 | 0.307 | 0.265 | −0.486 | 0.154 |
| CHOL (mg/dL) | −0.011 | 0.953 | −0.300 | 0.226 | 0.062 | 0.849 |
| HDL (mg/dL) | −0.062 | 0.736 | 0.011 | 0.965 | −0.161 | 0.616 |
| LDL (mg/dL) | 0.135 | 0.509 | −0.089 | 0.752 | 0.288 | 0.391 |
| ApoA1 (mg/dL) | −0.003 | 0.990 | 0.238 | 0.393 | −0.315 | 0.345 |
| ApoB (mg/dL) | 0.056 | 0.787 | −0.027 | 0.924 | −0.014 | 0.968 |
| ApoE (mg/dL) | 0.104 | 0.619 | −0.194 | 0.507 | 0.189 | 0.577 |
| Lp(a) (mg/dL) | 0.402 * | 0.046 | 0.465 | 0.094 | 0.278 | 0.408 |
| PRL (ng/mL) | −0.057 | 0.781 | 0.077 | 0.785 | −0.182 | 0.592 |
NW: normal weight; OB/OW: obese/overweight; BMI: body mass index; Ht: height; Wt: weight; WC: waist circumference; HC: hip circumference; FG-score: Ferriman–Gallwey score; TG: triglycerides; AUC: area under the curve; HOMA-IR: homeostatic model assessment for insulin resistance; QUICKI: quantitative insulin sensitivity check index; LH: luteinizing hormone; FSH: follicle stimulating hormone; E2: estradiol; T: testosterone; free-T: free-testosterone; DHEA-S: dehydroepiandrosterone sulfate; Δ4-A: Δ4-androstenedione; SHBG: sex hormone-binding globulin; FAI: free androgen index; 17OHP: 17-hydroxyprogesterone; MOV: mean ovarian volume; WB: whole body; LS: lumbar spine; ALP: alkaline phosphatase; iPTH: intact parathyroid hormone; 25(OH)D: 25-hydroxyvitamin D; hsCRP: high sensitivity C-reactive protein; IL-6: interleukin 6; CHOL: cholesterol; HDL: high-density lipoprotein cholesterol; LDL: low-density lipoprotein cholesterol; ApoA1: apolipoprotein A1; ApoB: apolipoprotein B; ApoE: apolipoprotein E; Lp(a): lipoprotein(a); PRL: prolactin. §: median (interquartile range); *** p < 0.001, ** p < 0.01, * p < 0.05.
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Bacopoulou, F.; Apostolaki, D.; Mantzou, A.; Doulgeraki, A.; Pałasz, A.; Tsimaris, P.; Koniari, E.; Efthymiou, V. Serum Spexin is Correlated with Lipoprotein(a) and Androgens in Female Adolescents. J. Clin. Med. 2019, 8, 2103. https://doi.org/10.3390/jcm8122103
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Bacopoulou F, Apostolaki D, Mantzou A, Doulgeraki A, Pałasz A, Tsimaris P, Koniari E, Efthymiou V. Serum Spexin is Correlated with Lipoprotein(a) and Androgens in Female Adolescents. Journal of Clinical Medicine. 2019; 8(12):2103. https://doi.org/10.3390/jcm8122103
Chicago/Turabian StyleBacopoulou, Flora, Despoina Apostolaki, Aimilia Mantzou, Artemis Doulgeraki, Artur Pałasz, Pantelis Tsimaris, Eleni Koniari, and Vasiliki Efthymiou. 2019. "Serum Spexin is Correlated with Lipoprotein(a) and Androgens in Female Adolescents" Journal of Clinical Medicine 8, no. 12: 2103. https://doi.org/10.3390/jcm8122103
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