Abstract: In humans, adipose tissue (AT) originating from different depots shows varying gene expression profiles. In horses, the risk of certain metabolic disorders may also be influenced by the impact of specific AT depots. Macrophage infiltration in human and rat AT is considered to be a source of inflammatory changes. In horses, this relationship has not been extensively studied yet. Reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR), a useful method to evaluate differences in mRNA expression across different tissues, can be used to evaluate differences between equine AT depots. For a correct interpretation of the RT-qPCR results, expression data have to be normalized by the use of validated reference genes. The main objectives of this study were to compare mRNA expression of inflammation-related genes, as well as adipocyte morphology and number between different equine AT depots; and in addition, to investigate the presence of antigen presenting cells in equine AT and any potential relationship with adipokine mRNA expression. Results: In this study, the mRNA expression of inflammation-related genes (leptin, chemokine ligand 5, interleukin 1β, interleukin 6, interleukin 10, adiponectin, matrix metalloproteinase 2, and superoxide dismutase 2) and candidate reference gene stability was investigated in 8 different AT depots collected from the nuchal, abdominal (mesenteric, retroperitoneal, and peri-renal) and subcutaneous (tail head and loin) AT region. By using GeNorm analysis, HPRT1, RPL32, and GAPDH were found to be the most stable genes in equine AT. The mRNA expression of leptin, chemokine ligand 5, interleukin 10, interleukin 1β, adiponectin, and matrix metalloproteinase 2 significantly differed across AT depots (P 0.05). Adipocyte area and number of antigen presenting cells per adipocyte significantly differed between AT depots (P < 0.05). Conclusions: Adipose tissue location was associated with differences in mRNA expression of inflammation-related genes. This depot-specific difference in mRNA expression suggests that the overall inflammatory status of horses could be partially determined by the relative proportion of the different AT depots.
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.
The research examines the variation in the expression of inflammation-related genes linked to adipose (fat) tissue location in horses. The study provides insights into how different fat deposits contribute to overall inflammatory status and potentially influence the risk of metabolic disorders in horses.
Objective of the Research
The aim of the study was to compare the mRNA expression of inflammation-related genes, as well as examine the morphology and number of adipocytes (fat cells) across different adipose tissue depots in horses.
The research also sought to investigate the presence of antigen presenting cells in horse fat deposits, and any correlation with adipokine mRNA expression.
Methodology and Materials
Eight different adipose tissue depots including nuchal, abdominal (mesenteric, retroperitoneal, peri-renal), and subcutaneous (tail head and loin) were studied.
Reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) was used to evaluate the differences in mRNA expression of inflammation-related genes across these tissues.
To ensure accurate interpretation of the RT-qPCR results, the expression data was normalized using validated reference genes. Through GeNorm analysis, HPRT1, RPL32, and GAPDH were identified as the most stable genes in equine adipose tissue.
Results of the Study
The mRNA expression of inflammation-related genes including leptin, chemokine ligand 5, interleukin 1β, interleukin 6, interleukin 10, adiponectin, matrix metalloproteinase 2, and superoxide dismutase 2 was investigated.
Significant variance was found in the expression of leptin, chemokine ligand 5, interleukin 10, interleukin 1β, adiponectin, and matrix metalloproteinase 2 across the different adipose tissue depots. However, no significant variances were found for interleukin 6 and superoxide dismutase 2.
The study also found significant differences in adipocyte area and number of antigen presenting cells per adipocyte across the different adipose tissue depots.
Conclusions of the Study
The location of adipose tissue was associated with differences in mRNA expression of inflammation-related genes in horses. These depots-specific differences suggest that the overall inflammatory status of horses could be partially determined by the relative proportion of the different fat depots.
Cite This Article
APA
Bruynsteen L, Erkens T, Peelman LJ, Ducatelle R, Janssens GP, Harris PA, Hesta M.
(2013).
Expression of inflammation-related genes is associated with adipose tissue location in horses.
BMC Vet Res, 9, 240.
https://doi.org/10.1186/1746-6148-9-240
Department of Nutrition, Genetics and Ethology, Faculty of Veterinary Medicine, Ghent University, Heidestraat 19, Merelbeke 9820, Belgium. lien.bruynsteen@ugent.be.
Lijnen HR, Maquoi E, Hansen LB, Van Hoef B, Frederix L, Collen D. Matrix metalloproteinase inhibition impairs adipose tissue development in mice.. Arterioscler Thromb Vasc Biol 2002 Mar 1;22(3):374-9.
Chavey C, Mari B, Monthouel MN, Bonnafous S, Anglard P, Van Obberghen E, Tartare-Deckert S. Matrix metalloproteinases are differentially expressed in adipose tissue during obesity and modulate adipocyte differentiation.. J Biol Chem 2003 Apr 4;278(14):11888-96.
Fain JN, Madan AK, Hiler ML, Cheema P, Bahouth SW. Comparison of the release of adipokines by adipose tissue, adipose tissue matrix, and adipocytes from visceral and subcutaneous abdominal adipose tissues of obese humans.. Endocrinology 2004 May;145(5):2273-82.
Cinti S, Mitchell G, Barbatelli G, Murano I, Ceresi E, Faloia E, Wang S, Fortier M, Greenberg AS, Obin MS. Adipocyte death defines macrophage localization and function in adipose tissue of obese mice and humans.. J Lipid Res 2005 Nov;46(11):2347-55.
Murano I, Barbatelli G, Parisani V, Latini C, Muzzonigro G, Castellucci M, Cinti S. Dead adipocytes, detected as crown-like structures, are prevalent in visceral fat depots of genetically obese mice.. J Lipid Res 2008 Jul;49(7):1562-8.
Van Harmelen V, Reynisdottir S, Eriksson P, Thörne A, Hoffstedt J, Lönnqvist F, Arner P. Leptin secretion from subcutaneous and visceral adipose tissue in women.. Diabetes 1998 Jun;47(6):913-7.
Yang SH, Matsui T, Kawachi H, Yamada T, Nakanishi N, Yano H. Fat depot-specific differences in leptin mRNA expression and its relation to adicyte size in steers.. Anim Sci J 2008;74:17–21.
Després JP, Lemieux I. Abdominal obesity and metabolic syndrome.. Nature 2006 Dec 14;444(7121):881-7.
Gorzelniak K, Janke J, Engeli S, Sharma AM. Validation of endogenous controls for gene expression studies in human adipocytes and preadipocytes.. Horm Metab Res 2001 Oct;33(10):625-7.
Thellin O, Zorzi W, Lakaye B, De Borman B, Coumans B, Hennen G, Grisar T, Igout A, Heinen E. Housekeeping genes as internal standards: use and limits.. J Biotechnol 1999 Oct 8;75(2-3):291-5.
Mehta R, Birerdinc A, Hossain N, Afendy A, Chandhoke V, Younossi Z, Baranova A. Validation of endogenous reference genes for qRT-PCR analysis of human visceral adipose samples.. BMC Mol Biol 2010 May 21;11:39.
Erkens T, Van Poucke M, Vandesompele J, Goossens K, Van Zeveren A, Peelman LJ. Development of a new set of reference genes for normalization of real-time RT-PCR data of porcine backfat and longissimus dorsi muscle, and evaluation with PPARGC1A.. BMC Biotechnol 2006 Oct 9;6:41.
Liburt NR, Fugaro MN, Wunderlich EK, Zambito JL, Horhov DW, Betancourt A, Boston RC, McKeever KH, Geor RJ. The effect of exercise training on insulin sensitivity and fat and muscle tissue cytokine profiles of old and young Standardbred mares [abstract]. J Equine Vet Sci 2011;31:237–238.
Park HS, Park JY, Yu R. Relationship of obesity and visceral adiposity with serum concentrations of CRP, TNF-alpha and IL-6.. Diabetes Res Clin Pract 2005 Jul;69(1):29-35.
Tilg H, Moschen AR. Role of adiponectin and PBEF/visfatin as regulators of inflammation: involvement in obesity-associated diseases.. Clin Sci (Lond) 2008 Feb;114(4):275-88.
Bruun JM, Lihn AS, Verdich C, Pedersen SB, Toubro S, Astrup A, Richelsen B. Regulation of adiponectin by adipose tissue-derived cytokines: in vivo and in vitro investigations in humans.. Am J Physiol Endocrinol Metab 2003 Sep;285(3):E527-33.
Overbergh L, Giulietti A, Valckx D, Decallonne R, Bouillon R, Mathieu C. The use of real-time reverse transcriptase PCR for the quantification of cytokine gene expression.. J Biomol Tech 2003 Mar;14(1):33-43.
Maquoi E, Munaut C, Colige A, Collen D, Lijnen HR. Modulation of adipose tissue expression of murine matrix metalloproteinases and their tissue inhibitors with obesity.. Diabetes 2002 Apr;51(4):1093-101.
Croissandeau G, Chrétien M, Mbikay M. Involvement of matrix metalloproteinases in the adipose conversion of 3T3-L1 preadipocytes.. Biochem J 2002 Jun 15;364(Pt 3):739-46.
O'Connell J, Lynch L, Cawood TJ, Kwasnik A, Nolan N, Geoghegan J, McCormick A, O'Farrelly C, O'Shea D. The relationship of omental and subcutaneous adipocyte size to metabolic disease in severe obesity.. PLoS One 2010 Apr 1;5(4):e9997.
Kabir M, Stefanovski D, Hsu IR, Iyer M, Woolcott OO, Zheng D, Catalano KJ, Chiu JD, Kim SP, Harrison LN, Ionut V, Lottati M, Bergman RN, Richey JM. Large size cells in the visceral adipose depot predict insulin resistance in the canine model.. Obesity (Silver Spring) 2011 Nov;19(11):2121-9.
Van de Velde H, Janssens GP, de Rooster H, Polis I, Peters I, Ducatelle R, Nguyen P, Buyse J, Rochus K, Xu J, Verbrugghe A, Hesta M. The cat as a model for human obesity: insights into depot-specific inflammation associated with feline obesity.. Br J Nutr 2013 Oct;110(7):1326-35.
Huber J, Kiefer FW, Zeyda M, Ludvik B, Silberhumer GR, Prager G, Zlabinger GJ, Stulnig TM. CC chemokine and CC chemokine receptor profiles in visceral and subcutaneous adipose tissue are altered in human obesity.. J Clin Endocrinol Metab 2008 Aug;93(8):3215-21.
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 Dec;112(12):1796-808.
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 Dec;112(12):1821-30.
Roth SM, Ferrell RE, Peters DG, Metter EJ, Hurley BF, Rogers MA. Influence of age, sex, and strength training on human muscle gene expression determined by microarray.. Physiol Genomics 2002 Sep 3;10(3):181-90.
Gabrielsson BG, Olofsson LE, Sjögren A, Jernås M, Elander A, Lönn M, Rudemo M, Carlsson LM. Evaluation of reference genes for studies of gene expression in human adipose tissue.. Obes Res 2005 Apr;13(4):649-52.
Ferguson BS, Nam H, Hopkins RG, Morrison RF. Impact of reference gene selection for target gene normalization on experimental outcome using real-time qRT-PCR in adipocytes.. PLoS One 2010 Dec 13;5(12):e15208.
Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, De Paepe A, Speleman F. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes.. Genome Biol 2002 Jun 18;3(7):RESEARCH0034.
Zhang K, Cao J, Zhao Z. Fat accumulation in striped hamsters (Cricetulus barabensis) reflects the temperature of prior cold acclimation. Front Zool 2024 Feb 13;21(1):4.