Immune Netw.  2016 Jun;16(3):189-194. 10.4110/in.2016.16.3.189.

Differential Chemokine Signature between Human Preadipocytes and Adipocytes

Affiliations
  • 1Department of Biochemistry and Cancer Biology, Meharry Medical College, Nashville, Tennessee 37208, USA. dson@mmc.edu
  • 2Department of Physiology, Meharry Medical College, Nashville, Tennessee 37208, USA.

Abstract

Obesity is characterized as an accumulation of adipose tissue mass represented by chronic, low-grade inflammation. Obesity-derived inflammation involves chemokines as important regulators contributing to the pathophysiology of obesity-related diseases such as cardiovascular disease, diabetes and some cancers. The obesity-driven chemokine network is poorly understood. Here, we identified the profiles of chemokine signature between human preadipocytes and adipocytes, using PCR arrays and qRT-PCR. Both preadipocytes and adipocytes showed absent or low levels in chemokine receptors in spite of some changes. On the other hand, the chemokine levels of CCL2, CCL7-8, CCL11, CXCL1-3, CXCL6 and CXCL10-11 were dominantly expressed in preadipocytes compared to adipocytes. Interestingly, CXCL14 was the most dominant chemokine expressed in adipocytes compared to preadipocytes. Moreover, there is significantly higher protein level of CXCL14 in conditioned media from adipocytes. In addition, we analyzed the data of the chemokine signatures in adipocytes obtained from healthy lean and obese postmenopausal women based on Gene Expression Omnibus (GEO) dataset. Adipocytes from obese individuals had significantly higher levels in chemokine signature as follows: CCL2, CCL13, CCL18-19, CCL23, CCL26, CXCL1, CXCL3 and CXCL14, as compared to those from lean ones. Also, among the chemokine networks, CXCL14 appeared to be the highest levels in adipocytes from both lean and obese women. Taken together, these results identify CXCL14 as an important chemokine induced during adipogenesis, requiring further research elucidating its potential therapeutic benefits in obesity.

Keyword

Chemokine; Adipogenesis; Obesity; Human adipocyte

MeSH Terms

Adipocytes*
Adipogenesis
Adipose Tissue
Cardiovascular Diseases
Chemokines
Culture Media, Conditioned
Dataset
Female
Gene Expression
Hand
Humans*
Inflammation
Obesity
Polymerase Chain Reaction
Receptors, Chemokine
Chemokines
Culture Media, Conditioned
Receptors, Chemokine

Figure

  • Figure 1 Chemokine receptor signature in human preadipocytes and adipocytes. (A) Representative images of human adipocytes during adipogenesis. Human preadipocyte and differentiated adipocytes were visualized under a digital inverted microscope at 20 X magnification. Human preadipocytes show long, thin and flatted cells, while human adipocytes show differentiated fat cells in spherical form. (B) Comparison of chemokine ligands in preadipocytes vs. adipocytes. A PCR array for chemokine receptors was performed by using total RNA isolated from nondifferentiated (preadipocytes) and differentiated cells (adipocytes). Different colors indicate the average cycle threshold with expressions that ranged from >35 to <25. Expression levels of chemokine receptors were defined as absent (>35), low (30-35) and high (<30) on average threshold cycles. Chemokines with a >2-fold increase (*) or decrease (#) were recognized as the major differences between preadipocytes and adipocytes.

  • Figure 2 Chemokine ligand signature in human preadipocytes and adipocytes. (A) Comparison of chemokine ligands in preadipocytes and adipocytes using PCR array containing complementary sequences for human chemokine ligand genes. Different colors indicate the average cycle threshold with expressions that ranged from >35 to <25. Expression levels of chemokines were defined as absent (>35), low (30-35) and high (<30) on average threshold cycles. Chemokines with a >2-fold increase (*) or decrease (#) were recognized as the major differences between preadipocytes and adipocytes. (B) Changes in mRNA expression of CCL2, CCL7, CCL8, CXCL6, CXCL10 and (C) CXCL14 were confirmed using specific PCR primer sets by qRT-PCR. Fold changes were calculated as a relative value after setting the first sample of adipocytes as a control group (1.0). Also, secreted CXCL14 in conditioned media from preadipocytes and adipocytes was assessed by ELISA. Experiments values for PCR array are the means from duplicate experiments, while experiments for qRT-PCR were performed at least in triplicate. All data value are presented as mean±SEM. * and # indicates significant increase or decrease (p≤0.05), respectively when tested with Student's t test.

  • Figure 3 Profiles of chemokine network in adipose tissues between lean and obese postmenopausal women. (A) Expression levels of chemokine ligands and receptors in subcutaneous adipose tissues between lean and obese women using microarray data via Gitools. (B) Intensity of chemokine network for statistical analysis. All values are presented as mean. Red and blue letters in chemokine signature indicate significant increase or decrease in obese women (p≤0.05), respectively, as tested with Student's t test.


Cited by  1 articles

Insulin resistance and type 2 diabetes in children
Valeria Castorani, Nella Polidori, Cosimo Giannini, Annalisa Blasetti, Francesco Chiarelli
Ann Pediatr Endocrinol Metab. 2020;25(4):217-226.    doi: 10.6065/apem.2040090.045.


Reference

1. Wagner M, Samdal Steinskog ES, Wiig H. Adipose tissue macrophages: the inflammatory link between obesity and cancer? Expert Opin Ther Targets. 2015; 19:527–538.
Article
2. Lafontan M. Adipose tissue and adipocyte dysregulation. Diabetes Metab. 2014; 40:16–28.
Article
3. Crunkhorn S. Metabolic disorders: Breaking the links between inflammation and diabetes. Nat Rev Drug Discov. 2013; 12:261.
Article
4. Calle EE, Kaaks R. Overweight, obesity and cancer: epidemiological evidence and proposed mechanisms. Nat Rev Cancer. 2004; 4:579–591.
Article
5. Hotamisligil GS. Inflammation and metabolic disorders. Nature. 2006; 444:860–867.
Article
6. Wellen KE, Hotamisligil GS. Obesity-induced inflammatory changes in adipose tissue. J Clin Invest. 2003; 112:1785–1788.
Article
7. Olefsky JM, Glass CK. Macrophages, inflammation, and insulin resistance. Annu Rev Physiol. 2010; 72:219–246.
Article
8. Meijer K, de Vries M, Al-Lahham S, Bruinenberg M, Weening D, Dijkstra M, Kloosterhuis N, van der, van der, Kroesen BJ, Vonk R, Rezaee F. Human primary adipocytes exhibit immune cell function: adipocytes prime inflammation independent of macrophages. PLoS One. 2011; 6:e17154.
Article
9. Wang Y. Small lipid-binding proteins in regulating endothelial and vascular functions: focusing on adipocyte fatty acid binding protein and lipocalin-2. Br J Pharmacol. 2012; 165:603–621.
Article
10. Chavey C, Lazennec G, Lagarrigue S, Clapé C, Iankova I, Teyssier J, Annicotte JS, Schmidt J, Mataki C, Yamamoto H, Sanches R, Guma A, Stich V, Vitkova M, Jardin-Watelet B, Renard E, Strieter R, Tuthill A, Hotamisligil GS, Vidal-Puig A, Zorzano A, Langin D, Fajas L. CXC ligand 5 is an adipose-tissue derived factor that links obesity to insulin resistance. Cell Metab. 2009; 9:339–349.
Article
11. Zlotnik A, Yoshie O, Nomiyama H. The chemokine and chemokine receptor superfamilies and their molecular evolution. Genome Biol. 2006; 7:243.
12. Lazennec G, Richmond A. Chemokines and chemokine receptors: new insights into cancer-related inflammation. Trends Mol Med. 2010; 16:133–144.
Article
13. Deng T, Lyon CJ, Minze LJ, Lin J, Zou J, Liu JZ, Ren Y, Yin Z, Hamilton DJ, Reardon PR, Sherman V, Wang HY, Phillips KJ, Webb P, Wong ST, Wang RF, Hsueh WA. Class II major histocompatibility complex plays an essential role in obesity-induced adipose inflammation. Cell Metab. 2013; 17:411–422.
Article
14. Perez-Llamas C, Lopez-Bigas N. Gitools: analysis and visualisation of genomic data using interactive heat-maps. PLoS One. 2011; 6:e19541.
Article
15. Weisberg SP, McCann D, Desai M, Rosenbaum M, Leibel RL, Ferrante AW Jr. Obesity is associated with macrophage accumulation in adipose tissue. J Clin Invest. 2003; 112:1796–1808.
Article
16. Xu H, Barnes GT, Yang Q, Tan G, Yang D, Chou CJ, Sole J, Nichols A, Ross JS, Tartaglia LA, Chen H. Chronic inflammation in fat plays a crucial role in the development of obesity-related insulin resistance. J Clin Invest. 2003; 112:1821–1830.
Article
17. Nara N, Nakayama Y, Okamoto S, Tamura H, Kiyono M, Muraoka M, Tanaka K, Taya C, Shitara H, Ishii R, Yonekawa H, Minokoshi Y, Hara T. Disruption of CXC motif chemokine ligand-14 in mice ameliorates obesity-induced insulin resistance. J Biol Chem. 2007; 282:30794–30803.
Article
18. Ping D, Boekhoudt GH, Rogers EM, Boss JM. Nuclear factor-kappa B p65 mediates the assembly and activation of the TNF-responsive element of the murine monocyte chemoattractant-1 gene. J Immunol. 1999; 162:727–734.
19. Son DS, Parl AK, Rice VM, Khabele D. Keratinocyte chemoattractant (KC)/human growth-regulated oncogene (GRO) chemokines and pro-inflammatory chemokine networks in mouse and human ovarian epithelial cancer cells. Cancer Biol Ther. 2007; 6:1302–1312.
Article
20. Kabir SM, Lee ES, Son DS. Chemokine network during adipogenesis in 3T3-L1 cells: Differential response between growth and proinflammatory factor in preadipocytes vs. adipocytes. Adipocyte. 2014; 3:97–106.
Article
Full Text Links
  • IN
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr