Skip to main content
International Journal of Molecular Sciences logoLink to International Journal of Molecular Sciences
. 2022 Sep 1;23(17):9988. doi: 10.3390/ijms23179988

Decreased Epicardial CTRP3 mRNA Levels in Patients with Type 2 Diabetes Mellitus and Coronary Artery Disease Undergoing Elective Cardiac Surgery: A Possible Association with Coronary Atherosclerosis

Zdenek Matloch 1,2, Milos Mraz 3, Barbora Judita Kasperova 3, Helena Kratochvilova 4,5, Petr Svoboda 5,6, Iveta Pleyerova 5, Katerina Reznickova 3, Sarah Norman 7, Daniel Hlavacek 8, Jakub Mahrik 8, Peter Ivak 8,9, Zdenka Lacinova 4,5, Ivan Netuka 8, Martin Haluzik 3,4,*
Editors: César Martín, Asier Benito-Vicente
PMCID: PMC9456433  PMID: 36077376

Abstract

(1) Background: C1q TNF-related protein 3 (CTRP3) is an adipokine with anti-inflammatory and cardioprotective properties. In our study, we explored changes in serum CTRP3 and its gene expression in epicardial (EAT) and subcutaneous (SAT) adipose tissue in patients with and without coronary artery disease (CAD) and type 2 diabetes mellitus (T2DM) undergoing elective cardiac surgery. (2) Methods: SAT, EAT, and blood samples were collected at the start and end of surgery from 34 patients: (i) 11 without CAD or T2DM, (ii) 14 with CAD and without T2DM, and (iii) 9 with both CAD and T2DM. mRNA levels of CTRP3 were assessed by quantitative reverse transcription PCR. Circulating levels of CTRP3 and other factors were measured using ELISA and Luminex Multiplex commercial kits. (3) Results: Baseline plasma levels of TNF-α and IL6 did not differ among the groups and increased at the end of surgery. Baseline circulating levels of CTRP3 did not differ among the groups and decreased after surgery. In contrast, baseline CTRP3 mRNA levels in EAT were significantly decreased in CAD/T2DM group, while no differences were found for TNF-α and IL6 gene expression. (4) Conclusions: Our data suggest that decreased EAT mRNA levels of CTRP3 could contribute to higher risk of atherosclerosis in patients with CAD and T2DM.

Keywords: adipokines, epicardial adipose tissue, coronary artery disease, diabetes mellitus, gene expression, CTRP3

1. Introduction

Cardiovascular diseases (CVD) are among the most common causes of morbidity and mortality in patients with obesity and type 2 diabetes mellitus (T2DM). These disorders are associated with other concomitant diseases, such as hyperlipidemia and arterial hypertension, leading to the development of atherosclerosis and coronary artery disease (CAD) [1,2]. Atherosclerosis is characterized by deposits of immune cells and lipids in the subendothelial space of arteries. CAD is a complex process not only involving intra-arterial accumulation of calcium and cholesterol, but also consisting of the inflammatory response driven by both cytokines and pro-inflammatory cells within vascular endothelium too [3,4]. Endothelial cells function as a semipermeable layer that separates the arterial wall from the intravascular components [5,6]. This barrier prevents platelet aggregation, regulates vascular tone, and enables fluid homeostasis. The endothelium produces vasoconstrictor and vasodilator molecules such as endothelin and nitric oxide, respectively. The disproportional production of these vasoactive substances may contribute to the loss of endothelial homeostatic function facilitating endothelial dysfunction [7,8]. This together with inflammatory response promote thrombosis and lead to adverse cardiovascular events [9]. A cross-link between CAD and the volume, quality, and overall layout of epicardial adipose tissue is well documented [10].

Epicardial fat is unique in its function and anatomical proximity to the heart; it affects myocardium metabolism and the development of CAD as well as other diseases [11,12,13]. In 2004, Wong et al. described a novel family of adipose tissue-derived cytokines referred to as complement C1q TNF-related proteins (CTRPs) [14]. C1q TNF-related protein 3 (CTRP3) (aka CORS26, cartducin, or cartonectin) is a unique member of this adipokine family. It is expressed and released by most types of human tissues (liver, heart, kidney, lung, cartilage, and bone) including adipose tissue. The CTRPs, a family of highly conserved adiponectin paralogs, are secreted molecules consisting of four different domains: an N-terminal signal peptide, a collagen-like domain, a short variable domain, and a C-terminal C1q-like globular domain [15]. CTRP3 is an adipokine that inhibits pro-inflammatory pathways in microcells and monocytes, exerting anti-apoptotic and cardioprotective effects during the development of CAD [16,17]. CTRP3 influences nuclear factor kappa B (NF-κB) and inhibitory toll-like receptors (TLRs) signaling pathways to reduce the secretion of pro-inflammatory adipocytokines, thus attenuating both obesity-related, chronic, systemic pro-inflammatory responses, and insulin resistance [18,19]. Additionally, CTRP3 enhances the activation of the PI3K/Akt/eNOS pathway, which inhibits endothelial dysfunction induced by oxidized low-density lipoproteins (ox-LDL), thus downregulating an expression of TNF-α, CTRPs, and IL6, postponing atherosclerosis progression [20].

As CTRP3 has documented anti-inflammatory and cardioprotective properties, we hypothesized that its epicardial adipose tissue gene expression or circulating levels may differ in patients with T2DM and CAD, compared to patients without those conditions thus contributing to accelerated coronary atherosclerosis. To this end, we explored changes of CTRP3 circulating levels and its mRNA levels in epicardial (EAT) and subcutaneous (SAT) adipose tissue in patients with or without CAD and T2DM undergoing elective cardiac surgery.

2. Results

2.1. Anthropometric and Biochemical Characteristics

At baseline, there was little difference between the three groups of patients in the presented anthropometric and biochemical characteristics. By definition, fasting plasma glucose and HbA1c levels were significantly higher in +CAD+T2DM group. No differences in the parameters of glucose control were found between -CAD-T2DM and +CAD-T2DM (Table 1).

Table 1.

Baseline anthropometric and biochemical characteristics of study subjects.

Parameter -CAD-T2DM +CAD-T2DM +CAD+T2DM p-Value
Number of subjects (f/m) 11 (3/8) 14 (2/12) 9 (2/7) x
Age (year) 59.7 ± 4.7 69.3 ± 2.4 67.0 ± 2.9 0.132
Body mass index (kg/m2) 27.1 ± 1.0 28.3 ± 1.5 30.4 ± 1.2 0.252
Waist circumference (cm) 99.2 ± 3.5 103.5 ± 3.2 110.4 ± 2.7 0.089
Hip circumference (cm) 105 (100–110) 102.5 (99.5–114.8) 110 (108–115) 0.102
Waist/hip ratio 0.96 ± 0.01 0.98 ± 0.02 0.99 ± 0.02 0.521
Total cholesterol (mmol/L) 4.12 (3.40–4.48) 3.73 (2.94–4.64) 3.91 (3.69–4.60) 0.510
Triglycerides (mmol/L) 1.25 (1.00–1.45) 1.37 (0.97–1.68) 1.13 (0.98–2.08) 0.972
LDL cholesterol (mmol/L) 2.15 (1.77–2.60) 2.01 (1.46–2.71) 1.99 (1.84–2.48) 0.622
HDL cholesterol (mmol/L) 1.21 (0.95–1.62) 1.01 (0.87–1.34) 0.93 (0.86–1.81) 0.429
Fasting glucose (mmol/L) 5.4 (5.0–5.90) 5.1 (4.8–5.4) 8 (6.50–9.80) 1,Z <0.001
HbA1c (mmol/mol) 35.4 ± 1.2 38.1 ± 2.0 52.4 ± 3.0 1,Z <0.001

Normally distributed data are shown as mean ± SEM; non-parametric data are expressed as median (interquartile range). Statistical significance is from one-way ANOVA; 1 p < 0.05 vs. -CAD-T2DM, Z vs. +CAD-T2DM.

2.2. Serum Concentrations of Selected Pro-Inflammatory Mediators and Adipokines

Serum concentrations of measured adipokines and cytokines are shown in Table 2. Baseline levels of CTRP3 as well as hsCRP, leptin, adiponektin, IL6, and TNF-α did not differ between the groups. As expected, cardiac surgery was associated with increased serum IL6 and TNF-α, while at the same time leading to a partially significant reduction of hsCRP, adiponectin, and leptin in some of the groups. In contrast, circulating CTRP3 levels were decreased consistently and significantly by surgery in all study groups.

Table 2.

Serum concentrations of selected cytokines and adipokines.

Analyte -CAD-T2DM +CAD-T2DM +CAD+T2DM
Baseline End of Surgery Baseline End of Surgery Baseline End of Surgery
hsCRP (µg/mL) 1.64 (0.94–2.92) 1.57 (0.65–2.56) 2.83 (1.25–16.02) 2.33 (0.75–13.95) * 6.04 (1.98–14.35) 5.68 (1.70–11.67)
Leptin (ng/mL) 6.19 (4.44–11.44) 3.97 (1.85–7.77) * 6.77 (3.94–9.77) 7.45 (2.93–11.76) 7.12 (5.41–16.00) 7.21 (5.66–14.38)
Adiponektin (µg/mL) 7.09 (5.21–12.83) 5.96 (4.25–7.96) 8.48 (6.12–15.13) 7.99 (6.84–12.9) 8.04 (6.93–12.01) 6.99 (5.85–9.45) *
CTRP3 (ng/mL) 60.20 ± 3.97 46.93 ± 2.88 * 64.85 ± 3.30 56.83 ± 3.67 * 60.93 ± 5.34 53.44 ± 3.99 *
IL6 (pg/mL) 0.77 (0.59–2.86) 32.43 (21.85–122.9) 2.89 (1.94–3.69) 23.98 (4.50–152.67) 3.12 (1.20–8.22) 61.87 (25.59–222.32) *
TNF-α (pg/mL) 7.61 (3.88–11.08) 9.08 (7.90–18.05) * 9.61 (6.97–13.49) 10.54 (7.09–31.74) 12.36 (6.02–20.29) 34.84 (22.37–39.53) *,1

Normally distributed data are shown as mean ± SEM; non-parametric data are expressed as median (interquartile range). Statistical significance is from one-way ANOVA and paired t-test; 1 p < 0.05 vs. -CAD-T2DM, * vs. baseline. High sensitivity C-reactive protein (hsCRP); C1qTNF-related protein 3 (CTRP3); interleukin 6 (IL6); tumor necrosis factor α (TNF-α).

2.3. Relative mRNA Quantification of TNF-α, CTRP3, and IL6 in EAT and SAT

In EAT, baseline CTRP3 mRNA levels were significantly reduced in +CAD+T2DM relative to -CAD-T2DM subjects, while no difference was seen in baseline TNF-α or IL6 gene expression between any of the groups. Surgery did not significantly affect CTRP3 mRNA levels (albeit a non-significant increase was observed in all groups), while markedly increasing IL6 and, to a lesser extent, also TNF-α gene expression (Figure 1; Supplementary Materials).

Figure 1.

Figure 1

Relative mRNA quantification of TNF-α, CTRP3, and IL6 genes in epicardial adipose tissue. Data are expressed as mean ± SEM; p < 0.05: Z vs. +CAD-T2DM for TNF-α and Z vs. -CAD-T2DM for CTRP3; * vs. baseline.

In SAT, in contrast, CTRP3 mRNA levels did not differ between groups either at baseline or after surgery, with surgery rather tending to slightly reduce CTRP3 gene expression. Both IL6 and TNF-α showed the same mRNA level pattern as in EAT with no difference at baseline and a consistent operation-induced increase throughout the groups (Figure 2; Supplementary Materials).

Figure 2.

Figure 2

Relative mRNA quantification of TNF-α, CTRP3, and IL6 genes in subcutaneous adipose tissue. Data are expressed as mean ± SEM; p < 0.05: * vs. baseline.

3. Discussion

Adipose tissue covers about 80% of the heart’s surface and forms up to 20% of its weight [10,21]. Endocrine function of adipose tissue is markedly affected by the presence of T2DM and obesity, with decreased production of anti-inflammatory and increased production of pro-inflammatory factors relative to healthy subjects [22,23]. This endocrine dysfunction contributes to the development of cardiovascular and metabolic complications of obesity and T2DM [22,24]. Our study focused on the novel adipokine CTRP3 dynamics in serum and its mRNA quantification in both EAT and SAT in patients undergoing elective cardiac surgery. CTRP3 has been shown to improve glucose and lipid metabolism and to have anti-inflammatory and cardioprotective properties [25,26]. To the best of our knowledge, changes of CTRP3 in epicardial fat in patients with differential presence of coronary atherosclerosis has not been studied so far.

Our study shows that neither the presence of T2DM or CAD affected circulating CTRP3 levels or their change after cardiac surgery. However, the literature regarding CTRP3 and T2DM (and its associated conditions) is inconsistent. Previously, CTRP3 levels were described to be strongly affected by metabolic status, obesity, or changes in glucose metabolism. Circulating CTRP3 levels were increased by fasting [27] and the presence of pre-diabetes [28]. On the contrary, the presence of T2DM was accompanied by decreased CTRP3 levels [29,30,31,32]. Furthermore, several studies illustrated that CTRP3 levels were increased with treatment by metformin [33] or Glucagon-like peptide 1 receptor agonists [34], which indicates that its increase could potentially contribute to improved glucose control. Lack of differences in baseline CTRP3 concentrations between +T2DM and -T2DM groups in our study could be related to the smaller sample size as well as to the presence of multiple comorbidities including coronary artery disease that could have affected its circulating levels.

In all groups, CTRP3 concentrations significantly decreased after surgery, thus changing in the opposite direction than pro-inflammatory cytokines. Concentrations of TNF-α and IL6 increased at the end of the operation along with their mRNA levels in subcutaneous and epicardial adipose tissues. This finding correlates with previously published data [35]. Interestingly, other studies reported that CTRP3 is the only adipokine in septic patients that decreases significantly compared to such proteins as ghrelin, resistin, leptin, and CTRP1 [36,37,38,39]. Another study showed that metabolic comorbidities did not affect the CTRP3 dynamic in the setting of critical illness [40].

In addition to affecting glucose and lipid metabolism, CTRP3 also has anti-inflammatory properties through the inhibition of NF-κB and TLR-signaling pathways [41,42]. In our study, we demonstrate for the first time that CTRP3 mRNA levels are differently regulated in epicardial and subcutaneous fat. Baseline CTRP3 mRNA levels in EAT were significantly lower in +CAD+T2DM patients as compared to -CAD-T2DM patients. The same tendency that did not reach statistical significance was noted for the comparison of +CAD+T2DM patients vs. +CAD-T2DM patients. In contrast, no baseline differences in CTRP3 mRNA levels were found in subcutaneous adipose tissue. A potential relationship of CTRP3 and cardiac function has been described previously. For example, CTRP3 attenuated pathological remodeling after acute myocardial infarction via the inhibition of myocardial fibrosis in a mouse model and improved survival and regeneration of ischemic cardiomyocytes [43,44]. Additionally, CTRP3 also improved angiogenesis through Protein kinase B phosphorylation and the expression of Hypoxia-induced factor 1-α and vascular endothelial growth factor [43]. Our results support previously suggested mechanism of CTRP3 action. It suppressed cellular apoptosis, decreased inflammatory cytokines, and opposed effects of endothelin-1 and NO by facilitating the phosphatidylinositol 3-kinase (PI3K), Akt, and eNOS productions [20]. Hence, decreased CTRP3 mRNA expression in EAT of +CAD+T2DM group could contribute to increased local production of pro-inflammatory cytokines leading to endothelial dysfunction with subsequent promotion of coronary atherosclerosis. Our data also suggest a differential regulation of CTRP3 mRNA expression in epicardial vs. subcutaneous fat. Due to a limited size of epicardial fat depot, its increased CTRP3 mRNA expression did not affect total circulating CTRP3 levels which mostly come from subcutaneous adipose tissue whose CTRP3 mRNA expression was not affected by the presence of diabetes or coronary artery disease.

Taken together, it is tempting to speculate that lower CTRP3 mRNA levels specifically in EAT that closely adjoins myocardium and coronary arteries could contribute to the development of coronary atherosclerosis and impairment in cardiac function and angiogenesis in these patients. However, more in-depth mechanistic studies on larger patient populations are required to confirm this hypothesis.

In conclusion, our study demonstrated for the first time that CTRP3 gene expression in EAT of patients with CAD and T2DM is significantly decreased as compared to patients without these conditions and that circulating CTRP3 levels decrease after cardiac surgery. Along with previously published experimental data, these findings may indicate a possible role of CTRP3 in the pathogenesis of coronary atherosclerosis and other cardiac pathologies.

4. Materials and Methods

4.1. Study Subjects

The study included 34 patients who underwent elective cardiac surgery with cardiopulmonary bypass (coronary artery by-pass graft). Subjects were divided into 3 groups according to the presence of CAD and T2DM: (i) 11 subjects without CAD and T2DM (-CAD-T2DM), (ii) 14 subjects with CAD and without T2DM (+CAD-T2DM), and (iii) 9 subjects with CAD and T2DM (+CAD+T2DM). Patients with T2DM were treated with metformin (3 patients), sulfonylureas (1 patient), dipeptidyl peptidase 4 inhibitors (2 patients), insulin (1 patient), or diet only (1 patient). Of participating patients, 28 had arterial hypertension and 29 dyslipidemia treated with statins. None of the patients suffered from acute or chronic kidney disease, malignancy, thyroid disease, or acute infection.

Surgery was performed after overnight fasting and was started between 07:00–08:00 in all subjects. Of the total patients, 10 received an infusion of dobutamine and norepinephrine perioperatively, with a maximum dose of 7 μg/kg/min and 0.2 μg/kg/min, respectively, with the treatment duration from 8 to 33 h.

All participants signed written informed consent prior to the enrolment into the study. The study was approved by Human Ethics Review Board, First Faculty of Medicine and General University Hospital, Prague, Czech Republic and was performed in accordance with the guidelines proposed in Declaration of Helsinki (2000) of the World Medical Association.

4.2. Anthropometric Examination, Blood, and Tissue Sampling

Anthropometric examination of study subjects was performed at baseline one day prior to surgery. All subjects had their height, weight, waist, and hip circumference measured, and the body mass index was calculated. Blood samples for hormonal and biochemical measurements were taken prior to initiation of anesthesia (baseline) and at the end of the operation. Serum was obtained by centrifugation and samples were subsequently stored in aliquots at −80 °C until further analysis. Samples of SAT (thoracic region, sternotomy site) and EAT (anterior interventricular sulcus or the right margin of the heart) for mRNA level analysis were taken at the start and prior to the end of the surgery from approximately the same location in all patients. Tissue samples were collected to 1 mL of RNAlater® reagent (Ambion®—Invitrogen, Carlsbad, CA, USA) and stored at −80 °C until further analysis.

4.3. Hormonal and Biochemical Assays

Serum level of CTRP3 was measured using ELISA kit (Human CTRP3/C1qTNF3/CORS26 DuoSet ELISA, R&D Systems, Wiesbaden, Germany) with a limit of detection 78 pg/mL. Serum C-reactive protein (hsCRP) level was measured by high-sensitive assay (Bender Med systems, Vienna, Austria) with a sensitivity of 3 pg/mL. Serum level of TNFα and IL6 was measured by a multiplex assay MILLIPLEX MAP Human Cytokine/chemokine Panel I (Merck KGaA, Darmstadt, Germany). Sensitivity for IL6 was 0.9 pg/mL and for TNF-α 0.7 pg/mL. Serum IL6 level of most samples was undetectable by this assay, so they were repeatedly analyzed by the human IL6 high-sensitivity ELISA with analytical sensitivity of 0.03 pg/mL (Thermo Fisher Scientific, Waltham, MA, USA).

Serum leptin concentration was measured by the commercial ELISA kit (BioVendor, Brno, Czech Republic). Sensitivity was 0.2 ng/mL. Serum level of adiponectin was measured by the commercial ELISA kit (Merck KGaA, Darmstadt, Germany). The lowest level of adiponectin that can be detected by this assay is 0.2 ng/mL. The intra- and inter-assay variabilities for all assays were between 5.0% and 15.0%.

Routine biochemical parameters (Triglycerides, Total cholesterol, HDL cholesterol, Fasting glucose and HbA1c) were measured at the Department of Biochemistry, General University Hospital, Prague, Czech Republic by standard laboratory methods. LDL cholesterol was calculated using the Friedewald Equation.

4.4. Quantitative Reverse Transcription PCR

mRNA levels of CTRP3, TNF-α and IL6 were determined as described in detail elsewhere [45]. Briefly, samples of tissue were homogenized on MagNA Lyser Instrument (Roche Diagnostics GmbH, Mannheim, Germany). Total RNA was extracted on MagNA Pure instrument using Magna Pure Compact RNA Isolation kit (Roche Diagnostics GmbH, Mannheim, Germany).

Reverse transcription was performed using random primers according to the manufacturer’s protocol of the High-Capacity cDNA Reverse Transcription Kits (Applied Biosystems, Foster City, CA, USA). Gene expression analysis was performed on a 7500 Real-Time PCR System using TaqMan® gene Expression Assays (Applied Biosystems, Foster City, CA, USA). For the reaction, a mix of TaqMan® Universal PCR Master Mix II, NO AmpErase® UNG (Applied Biosystems, Foster City, CA, USA) and specific TaqMan® Gene expression Assays (Applied Biosystems, Foster City, CA, USA) were used (Supplementary Materials). Gene Beta-2 microglobulin was used as endogenous reference. The formula 2−∆∆Ct was used to calculate relative gene expression.

4.5. Statistical Analysis

Statistical analysis was performed, and graphs were drawn using SigmaPlot 13.0 software (SPSS Inc., Chicago, IL, USA). The results are expressed as mean ± standard error mean (SEM) or median (interquartile range). Normality of all data was assessed by the Shapiro–Wilk test. One-way ANOVA followed by Holm–Sidak test or one-way ANOVA on Ranks followed by Dunn’s method, and a paired t-test or Wilcoxon Signed-Rank test were used for the assessment of intra and intergroup differences, as appropriate. Correlations were analyzed using Spearman’s or Pearson’s correlation test, according to the Normality of data. In all statistical tests, p values < 0.05 were considered significant.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms23179988/s1.

Author Contributions

Conceptualization, M.H. and M.M.; methodology, H.K., Z.L. and B.J.K.; patient involvement and sampling of biological material, Z.M., D.H., J.M., P.I. and I.N.; molecular biological and biochemical analysis, H.K., Z.L. and B.J.K.; data analysis H.K., M.M. and S.N.; statistics H.K. and S.N.; writing—draft preparation, Z.M.; writing—review and editing, M.M., B.J.K., I.P., K.R. and P.S.; project administration, H.K., Z.L. and B.J.K.; supervision, I.N. and M.H.; funding acquisition, M.H. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

The study was approved by the Human Ethics Review Board, Institute for Clinical and Experimental Medicine and Thomayer Hospital in Prague, Czech Republic. The study was compliant with guidelines proposed in the Declaration of Helsinki (2000) of the World Medical Association.

Informed Consent Statement

A written consent form was obtained from all subjects involved in the study.

Data Availability Statement

The data from this study are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare no conflict of interest.

Funding Statement

The study was supported by the Ministry of Health in Czech Republic—conceptual development of the research organization (IKEM, IN 00023001), RVO VFN64165, grant NV19-02-00118 and by the project National Institute for Research of Metabolic and Cardiovascular Diseases (Programme EXCELES, ID Project No. LX22NPO5104)—Funded by the European Union—Next Generation EU.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Le Jemtel T.H., Samson R., Ayinapudi K., Singh T., Oparil S. Epicardial Adipose Tissue and Cardiovascular Disease. Curr. Hypertens. Rep. 2019;21:36. doi: 10.1007/s11906-019-0939-6. [DOI] [PubMed] [Google Scholar]
  • 2.Vyas V., Blythe H., Wood E.G., Sandhar B., Sarker S.J., Balmforth D., Ambekar S.G., Yap J., Edmondson S.J., Di Salvo C., et al. Obesity and diabetes are major risk factors for epicardial adipose tissue inflammation. JCI Insight. 2021;6:e145495. doi: 10.1172/jci.insight.145495. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Gao W., Liu H., Yuan J., Wu C., Huang D., Ma Y., Zhu J., Ma L., Guo J., Shi H., et al. Exosomes derived from mature dendritic cells increase endothelial inflammation and atherosclerosis via membrane TNF-alpha mediated NF-kappaB pathway. J. Cell. Mol. Med. 2016;20:2318–2327. doi: 10.1111/jcmm.12923. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Herrero-Fernandez B., Gomez-Bris R., Somovilla-Crespo B., Gonzalez-Granado J.M. Immunobiology of Atherosclerosis: A Complex Net of Interactions. Int. J. Mol. Sci. 2019;20:5293. doi: 10.3390/ijms20215293. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Marchio P., Guerra-Ojeda S., Vila J.M., Aldasoro M., Victor V.M., Mauricio M.D. Targeting Early Atherosclerosis: A Focus on Oxidative Stress and Inflammation. Oxid. Med. Cell. Longev. 2019;2019:8563845. doi: 10.1155/2019/8563845. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Lee D.Y., Chiu J.J. Atherosclerosis and flow: Roles of epigenetic modulation in vascular endothelium. J. Biomed. Sci. 2019;26:56. doi: 10.1186/s12929-019-0551-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Strohbach A., Pennewitz M., Glaubitz M., Palankar R., Gross S., Lorenz F., Materzok I., Rong A., Busch M.C., Felix S.B., et al. The apelin receptor influences biomechanical and morphological properties of endothelial cells. J. Cell. Physiol. 2018;233:6250–6261. doi: 10.1002/jcp.26496. [DOI] [PubMed] [Google Scholar]
  • 8.Boen J.R.A., Gevaert A.B., De Keulenaer G.W., Van Craenenbroeck E.M., Segers V.F.M. The role of endothelial miRNAs in myocardial biology and disease. J. Mol. Cell. Cardiol. 2020;138:75–87. doi: 10.1016/j.yjmcc.2019.11.151. [DOI] [PubMed] [Google Scholar]
  • 9.Sun H.J., Wu Z.Y., Nie X.W., Bian J.S. Role of Endothelial Dysfunction in Cardiovascular Diseases: The Link Between Inflammation and Hydrogen Sulfide. Front. Pharmacol. 2019;10:1568. doi: 10.3389/fphar.2019.01568. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Patel V.B., Shah S., Verma S., Oudit G.Y. Epicardial adipose tissue as a metabolic transducer: Role in heart failure and coronary artery disease. Heart Fail. Rev. 2017;22:889–902. doi: 10.1007/s10741-017-9644-1. [DOI] [PubMed] [Google Scholar]
  • 11.Iacobellis G., Corradi D., Sharma A.M. Epicardial adipose tissue: Anatomic, biomolecular and clinical relationships with the heart. Nat. Clin. Pract. Cardiovasc. Med. 2005;2:536–543. doi: 10.1038/ncpcardio0319. [DOI] [PubMed] [Google Scholar]
  • 12.Matloch Z., Kotulak T., Haluzik M. The role of epicardial adipose tissue in heart disease. Physiol. Res. 2016;65:23–32. doi: 10.33549/physiolres.933036. [DOI] [PubMed] [Google Scholar]
  • 13.Matloch Z., Cinkajzlova A., Mraz M., Haluzik M. The Role of Inflammation in Epicardial Adipose Tissue in Heart Diseases. Curr. Pharm. Des. 2018;24:297–309. doi: 10.2174/1381612824666180110102125. [DOI] [PubMed] [Google Scholar]
  • 14.Wong G.W., Wang J., Hug C., Tsao T.S., Lodish H.F. A family of Acrp30/adiponectin structural and functional paralogs. Proc. Natl. Acad. Sci. USA. 2004;101:10302–10307. doi: 10.1073/pnas.0403760101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Kishore U., Gaboriaud C., Waters P., Shrive A.K., Greenhough T.J., Reid K.B., Sim R.B., Arlaud G.J. C1q and tumor necrosis factor superfamily: Modularity and versatility. Trends Immunol. 2004;25:551–561. doi: 10.1016/j.it.2004.08.006. [DOI] [PubMed] [Google Scholar]
  • 16.Hofmann C., Chen N., Obermeier F., Paul G., Buchler C., Kopp A., Falk W., Schaffler A. C1q/TNF-related protein-3 (CTRP-3) is secreted by visceral adipose tissue and exerts antiinflammatory and antifibrotic effects in primary human colonic fibroblasts. Inflamm. Bowel Dis. 2011;17:2462–2471. doi: 10.1002/ibd.21647. [DOI] [PubMed] [Google Scholar]
  • 17.Fadaei R., Moradi N., Baratchian M., Aghajani H., Malek M., Fazaeli A.A., Fallah S. Association of C1q/TNF-Related Protein-3 (CTRP3) and CTRP13 Serum Levels with Coronary Artery Disease in Subjects with and without Type 2 Diabetes Mellitus. PLoS ONE. 2016;11:e0168773. doi: 10.1371/journal.pone.0168773. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Petersen P.S., Wolf R.M., Lei X., Peterson J.M., Wong G.W. Immunomodulatory roles of CTRP3 in endotoxemia and metabolic stress. Physiol. Rep. 2016;4:e12735. doi: 10.14814/phy2.12735. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Schmid A., Kopp A., Hanses F., Karrasch T., Schaffler A. C1q/TNF-related protein-3 (CTRP-3) attenuates lipopolysaccharide (LPS)-induced systemic inflammation and adipose tissue Erk-1/-2 phosphorylation in mice in vivo. Biochem. Biophys. Res. Commun. 2014;452:8–13. doi: 10.1016/j.bbrc.2014.06.054. [DOI] [PubMed] [Google Scholar]
  • 20.Chen L., Qin L., Liu X., Meng X. CTRP3 Alleviates Ox-LDL-Induced Inflammatory Response and Endothelial Dysfunction in Mouse Aortic Endothelial Cells by Activating the PI3K/Akt/eNOS Pathway. Inflammation. 2019;42:1350–1359. doi: 10.1007/s10753-019-00996-1. [DOI] [PubMed] [Google Scholar]
  • 21.Corradi D., Maestri R., Callegari S., Pastori P., Goldoni M., Luong T.V., Bordi C. The ventricular epicardial fat is related to the myocardial mass in normal, ischemic and hypertrophic hearts. Cardiovasc. Pathol. 2004;13:313–316. doi: 10.1016/j.carpath.2004.08.005. [DOI] [PubMed] [Google Scholar]
  • 22.Bluher M. Adipose tissue dysfunction contributes to obesity related metabolic diseases. Best Pract. Res. Clin. Endocrinol. Metab. 2013;27:163–177. doi: 10.1016/j.beem.2013.02.005. [DOI] [PubMed] [Google Scholar]
  • 23.Luo L., Liu M. Adipose tissue in control of metabolism. J. Endocrinol. 2016;231:R77–R99. doi: 10.1530/JOE-16-0211. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Bluher M. Are there still healthy obese patients? Curr. Opin. Endocrinol. Diabetes Obes. 2012;19:341–346. doi: 10.1097/MED.0b013e328357f0a3. [DOI] [PubMed] [Google Scholar]
  • 25.Masoodian S.M., Toolabi K., Omidifar A., Zabihi H., Rahimipour A., Shanaki M. Increased mRNA Expression of CTRP3 and CTRP9 in Adipose Tissue from Obese Women: Is it Linked to Obesity-Related Parameters and mRNA Expression of Inflammatory Cytokines? Rep. Biochem. Mol. Biol. 2020;9:71–81. doi: 10.29252/rbmb.9.1.71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Yaribeygi H., Rashidfarrokhi F., Atkin S.L., Sahebkar A. C1q/TNF-related protein-3 and glucose homeostasis. Diabetes Metab. Syndr. 2019;13:1923–1927. doi: 10.1016/j.dsx.2019.04.047. [DOI] [PubMed] [Google Scholar]
  • 27.Peterson J.M., Wei Z., Wong G.W. C1q/TNF-related protein-3 (CTRP3), a novel adipokine that regulates hepatic glucose output. J. Biol. Chem. 2010;285:39691–39701. doi: 10.1074/jbc.M110.180695. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Choi K.M., Hwang S.Y., Hong H.C., Yang S.J., Choi H.Y., Yoo H.J., Lee K.W., Nam M.S., Park Y.S., Woo J.T., et al. C1q/TNF-related protein-3 (CTRP-3) and pigment epithelium-derived factor (PEDF) concentrations in patients with type 2 diabetes and metabolic syndrome. Diabetes. 2012;61:2932–2936. doi: 10.2337/db12-0217. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Ban B., Bai B., Zhang M., Hu J., Ramanjaneya M., Tan B.K., Chen J. Low serum cartonectin/CTRP3 concentrations in newly diagnosed type 2 diabetes mellitus: In vivo regulation of cartonectin by glucose. PLoS ONE. 2014;9:e112931. doi: 10.1371/journal.pone.0112931. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Deng W., Li C., Zhang Y., Zhao J., Yang M., Tian M., Li L., Zheng Y., Chen B., Yang G. Serum C1q/TNF-related protein-3 (CTRP3) levels are decreased in obesity and hypertension and are negatively correlated with parameters of insulin resistance. Diabetol. Metab. Syndr. 2015;7:33. doi: 10.1186/s13098-015-0029-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Qu H., Deng M., Wang H., Wei H., Liu F., Wu J., Deng H. Plasma CTRP-3 concentrations in Chinese patients with obesity and type II diabetes negatively correlate with insulin resistance. J. Clin. Lipidol. 2015;9:289–294. doi: 10.1016/j.jacl.2015.03.006. [DOI] [PubMed] [Google Scholar]
  • 32.Moradi N., Fadaei R., Khamseh M.E., Nobakht A., Rezaei M.J., Aliakbary F., Vatannejad A., Hosseini J. Serum levels of CTRP3 in diabetic nephropathy and its relationship with insulin resistance and kidney function. PLoS ONE. 2019;14:e0215617. doi: 10.1371/journal.pone.0215617. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Flehmig G., Scholz M., Kloting N., Fasshauer M., Tonjes A., Stumvoll M., Youn B.S., Bluher M. Identification of adipokine clusters related to parameters of fat mass, insulin sensitivity and inflammation. PLoS ONE. 2014;9:e99785. doi: 10.1371/journal.pone.0099785. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Li X., Jiang L., Yang M., Wu Y., Sun S., Sun J. GLP-1 receptor agonist increases the expression of CTRP3, a novel adipokine, in 3T3-L1 adipocytes through PKA signal pathway. J. Endocrinol. Investig. 2015;38:73–79. doi: 10.1007/s40618-014-0156-8. [DOI] [PubMed] [Google Scholar]
  • 35.Uyar I.S., Onal S., Uysal A., Ozdemir U., Burma O., Bulut V. Evaluation of systemic inflammatory response in cardiovascular surgery via interleukin-6, interleukin-8, and neopterin. Heart Surg. Forum. 2014;17:E13-17. doi: 10.1532/HSF98.2013267. [DOI] [PubMed] [Google Scholar]
  • 36.Koch A., Weiskirchen R., Zimmermann H.W., Sanson E., Trautwein C., Tacke F. Relevance of serum leptin and leptin-receptor concentrations in critically ill patients. Mediat. Inflamm. 2010;2010:473540. doi: 10.1155/2010/473540. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Koch A., Sanson E., Voigt S., Helm A., Trautwein C., Tacke F. Serum adiponectin upon admission to the intensive care unit may predict mortality in critically ill patients. J. Crit. Care. 2011;26:166–174. doi: 10.1016/j.jcrc.2010.07.015. [DOI] [PubMed] [Google Scholar]
  • 38.Koch A., Sanson E., Helm A., Voigt S., Trautwein C., Tacke F. Regulation and prognostic relevance of serum ghrelin concentrations in critical illness and sepsis. Crit. Care. 2010;14:R94. doi: 10.1186/cc9029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Yagmur E., Buergerhausen D., Koek G.H., Weiskirchen R., Trautwein C., Koch A., Tacke F. Elevated CTRP1 Plasma Concentration Is Associated with Sepsis and Pre-Existing Type 2 Diabetes Mellitus in Critically Ill Patients. J. Clin. Med. 2019;8:661. doi: 10.3390/jcm8050661. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Yagmur E., Otto S., Koek G.H., Weiskirchen R., Trautwein C., Koch A., Tacke F. Decreased CTRP3 Plasma Concentrations Are Associated with Sepsis and Predict Mortality in Critically Ill Patients. Diagnostics. 2019;9:63. doi: 10.3390/diagnostics9020063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Kopp A., Bala M., Buechler C., Falk W., Gross P., Neumeier M., Scholmerich J., Schaffler A. C1q/TNF-related protein-3 represents a novel and endogenous lipopolysaccharide antagonist of the adipose tissue. Endocrinology. 2010;151:5267–5278. doi: 10.1210/en.2010-0571. [DOI] [PubMed] [Google Scholar]
  • 42.Weigert J., Neumeier M., Schaffler A., Fleck M., Scholmerich J., Schutz C., Buechler C. The adiponectin paralog CORS-26 has anti-inflammatory properties and is produced by human monocytic cells. FEBS Lett. 2005;579:5565–5570. doi: 10.1016/j.febslet.2005.09.022. [DOI] [PubMed] [Google Scholar]
  • 43.Yi W., Sun Y., Yuan Y., Lau W.B., Zheng Q., Wang X., Wang Y., Shang X., Gao E., Koch W.J., et al. C1q/tumor necrosis factor-related protein-3, a newly identified adipokine, is a novel antiapoptotic, proangiogenic, and cardioprotective molecule in the ischemic mouse heart. Circulation. 2012;125:3159–3169. doi: 10.1161/CIRCULATIONAHA.112.099937. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Wu D., Lei H., Wang J.Y., Zhang C.L., Feng H., Fu F.Y., Li L., Wu L.L. CTRP3 attenuates post-infarct cardiac fibrosis by targeting Smad3 activation and inhibiting myofibroblast differentiation. J. Mol. Med. 2015;93:1311–1325. doi: 10.1007/s00109-015-1309-8. [DOI] [PubMed] [Google Scholar]
  • 45.Dolezalova R., Lacinova Z., Dolinkova M., Kleiblova P., Haluzikova D., Housa D., Papezova H., Haluzik M. Changes of endocrine function of adipose tissue in anorexia nervosa: Comparison of circulating levels versus subcutaneous mRNA expression. Clin. Endocrinol. 2007;67:674–678. doi: 10.1111/j.1365-2265.2007.02944.x. [DOI] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

Data Availability Statement

The data from this study are available from the corresponding author upon reasonable request.


Articles from International Journal of Molecular Sciences are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES