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A saturated fatty acid–rich diet induces an obesity-linked proinflammatory gene expression profile in adipose tissue of subjects at risk of metabolic syndrome
Open accessAbstract
Background Changes in dietary fat composition could lower the risk of developing metabolic syndrome. Adipose tissue is an interesting tissue in this respect because of its role in lipid metabolism and inflammation.Objective Our objective was to investigate the effect of a saturated fatty acid (SFA)- and a monounsaturated fatty acid (MUFA)-rich diet on insulin sensitivity, serum lipids, and gene expression profiles of adipose tissue in subjects at risk of metabolic syndrome.Design A parallel controlled-feeding trial was conducted in 20 abdominally overweight subjects. Subjects received an SFA diet or a MUFA diet for 8 wk. Plasma and subcutaneous adipose tissue samples were obtained, and insulin sensitivity was measured by using a hyperinsulinemic-euglycemic clamp. Adipose tissue samples underwent whole-genome microarray and histologic analysis. Plasma and adipose tissue fatty acid composition and concentrations of serum cholesterol and plasma cytokine were determined.Results Consumption of the SFA diet resulted in increased expression of genes involved in inflammation processes in adipose tissue, without changes in morphology or insulin sensitivity. The MUFA diet led to a more antiinflammatory gene expression profile, which was accompanied by a decrease in serum LDL-cholesterol concentrations and an increase in plasma and adipose tissue oleic acid content.Conclusions Consumption of an SFA diet resulted in a proinflammatory "obesity-linked" gene expression profile, whereas consumption of a MUFA diet caused a more antiinflammatory profile. This suggests that replacement of dietary SFA with MUFA could prevent adipose tissue inflammation and may reduce the risk of inflammation-related diseases such as metabolic syndrome. This trial was registered at clinicaltrials.gov as NCT00405197.
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“especially considering that the impact of fatty acids on metabolic health is dictated by their chemical characteristics with unsaturated fatty acids, medium- and short-chain fatty acids being proven as beneficial to metabolic health, compared to long-chain saturated fatty acids (Roche, 2005; Holland et al., 2007; van Dijk et al., 2009;”
From Mitochondrial (Dys)function and Insulin Resistance: From Pathophysiological Molecular Mechanisms to the Impact of Diet (2019) · cites this paper as van Dijk et al., 2009
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Cites
Friedewald, W. T., Levy, R. I., & Fredrickson, D. S. (1972) · Clinical Chemistry · doi:10.1093/clinchem/18.6.499 · Cited by 32,423
Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829
Obesity is associated with macrophage accumulation in adipose tissue
Weisberg, S. P., McCann, D., Desai, M., Rosenbaum, M., Leibel, R. L., & Ferrante, A. W. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200319246 · Cited by 10,041
Bolstad, B. M., Irizarry, R. A., Åstrand, M., & Speed, T. P. (2003) · Bioinformatics · doi:10.1093/bioinformatics/19.2.185 · Cited by 8,328
Glucose clamp technique: a method for quantifying insulin secretion and resistance.
DeFronzo, R. A., Tobin, J. D., & Andres, R. (1979) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1979.237.3.e214 · Cited by 7,425
Summaries of Affymetrix GeneChip probe level data
Irizarry, R. A. (2003) · Nucleic Acids Research · doi:10.1093/nar/gng015 · Cited by 4,837
Hotamisligil, G. S., Arner, P., Caro, J. F., Atkinson, R. L., & Spiegelman, B. M. (1995) · Journal of Clinical Investigation · doi:10.1172/jci117936 · Cited by 3,543
Cinti, S., Mitchell, G., Barbatelli, G., Murano, I., Ceresi, E., Faloia, E., Wang, S., Fortier, M., Greenberg, A. S., & Obin, M. S. (2005) · Journal of Lipid Research · doi:10.1194/jlr.m500294-jlr200 · Cited by 2,529
Adipocyte dysfunctions linking obesity to insulin resistance and type 2 diabetes.
Guilherme, A., Virbasius, J. V., Puri, V., & Czech, M. P. (2008) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2391 · Cited by 2,292
Adipokines: inflammation and the pleiotropic role of white adipose tissue
Trayhurn, P., & Wood, I. S. (2004) · British Journal of Nutrition · doi:10.1079/bjn20041213 · Cited by 2,210
Esposito, K., Marfella, R., Ciotola, M., Di Palo, C., Giugliano, F., Giugliano, G., D'Armiento, M., D'Andrea, F., & Giugliano, D. (2004) · JAMA · doi:10.1001/jama.292.12.1440 · Cited by 2,126
Metabolic Syndrome and Risk of Incident Cardiovascular Events and Death
Gami, A. S., Witt, B. J., Howard, D. E., Erwin, P. J., Gami, L. A., Somers, V. K., & Montori, V. M. (2007) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2006.09.032 · Cited by 1,888
Evolving gene/transcript definitions significantly alter the interpretation of GeneChip data
Dai, M. (2005) · Nucleic Acids Research · doi:10.1093/nar/gni179 · Cited by 1,807
Adiponectin and Metabolic Syndrome
Matsuzawa, Y., Funahashi, T., Kihara, S., & Shimomura, I. (2003) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.0000099786.99623.ef · Cited by 1,203
Molecular recognition of fatty acids by peroxisome proliferator-activated receptors
Xu, H. E., Lambert, M. H., Montana, V. G., Parks, D. J., Blanchard, S. G., Brown, P. J., Sternbach, D. D., Lehmann, J. M., Wisely, G. B., Willson, T. M., et al. (1999) · Molecular Cell · doi:10.1016/s1097-2765(00)80467-0 · Cited by 1,169
Cancello, R., Henegar, C., Viguerie, N., Taleb, S., Poitou, C., Rouault, C., Coupaye, M., Pelloux, V., Hugol, D., Bouillot, J.-L., et al. (2005) · Diabetes · doi:10.2337/diabetes.54.8.2277 · Cited by 1,164
Vessby, B., Uusitupa, M., Hermansen, K., Riccardi, G., Rivellese, A. A., Tapsell, L. C., Nälsén, C., Berglund, L., Louheranta, A., Rasmussen, B. M., et al. (2001) · Diabetologia · doi:10.1007/s001250051620 · Cited by 1,119
The Metabolic Syndrome as Predictor of Type 2 Diabetes
Lorenzo, C., Okoloise, M., Williams, K., Stern, M. P., & Haffner, S. M. (2003) · Diabetes Care · doi:10.2337/diacare.26.11.3153 · Cited by 800
The relation of body fat mass and distribution to markers of chronic inflammation
Festa, A., D'Agostino, R., Jr., Williams, K. M., Aj, K., Mayer-Davis, E., Tracy, R. P., & Haffner, S. (2001) · International Journal of Obesity · doi:10.1038/sj.ijo.0801792 · Cited by 722
Wu, H., Ghosh, S., Perrard, X. D., Feng, L., García, G., Perrard, J. L., Sweeney, J. F., Peterson, L. E., Chan, L., Smith, C. W., et al. (2007) · Circulation · doi:10.1161/circulationaha.106.638379 · Cited by 696
Kintscher, U., Hartge, M., Hess, K., Foryst-Ludwig, A., Clemenz, M., Wabitsch, M., Fischer-Posovszky, P., Barth, T. F. E., Dragun, D., Skurk, T., et al. (2008) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.108.165100 · Cited by 692
Weight loss regulates inflammation‐related genes in white adipose tissue of obese subjects
ClÉment, K., Viguerie, N., Poitou, C., Carette, C., Pelloux, V., Curat, C. A., Sicard, A., Rome, S., Benis, A., Zucker, J., et al. (2004) · The FASEB Journal · doi:10.1096/fj.04-2204com · Cited by 640
Body-composition assessment via air-displacement plethysmography in adults and children: a review
Fields, D. A., Goran, M. I., & McCrory, M. A. (2002) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/75.3.453 · Cited by 638
Kennedy, A. J., Martinez, K., Chuang, C., LaPoint, K., & McIntosh, M. (2008) · Journal of Nutrition · doi:10.3945/jn.108.098269 · Cited by 579
Sharma, A. M., & Staels, B. (2006) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2006-1268 · Cited by 483
Baer, D. J., Judd, J. T., Clevidence, B. A., & Tracy, R. P. (2004) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/79.6.969 · Cited by 476
Henegar, C., Tordjman, J., Achard, V., Lacasa, D., Cremer, I., Guerre-Millo, M., Poitou, C., Basdevant, A., Stich, V., Viguerie, N., et al. (2008) · Genome Biology · doi:10.1186/gb-2008-9-1-r14 · Cited by 471
Gustafson, B., Hammarstedt, A., Andersson, C. X., & Smith, U. (2007) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.107.147835 · Cited by 447
Relation of dietary fat and fiber to elevation of C-reactive protein
King, D. E., Egan, B. M., & Geesey, M. E. (2003) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2003.08.020 · Cited by 303
Lee, Y. H., Nair, S., Rousseau, E., Allison, D. B., Page, G. P., Tataranni, P. A., Bogardus, C., & Permana, P. A. (2005) · Diabetologia · doi:10.1007/s00125-005-1867-3 · Cited by 265
Platat, C., Drai, J., Oujaa, M., Schlienger, J.-L., & Simon, C. (2005) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/82.6.1178 · Cited by 263
A Mediterranean and a high-carbohydrate diet improve glucose metabolism in healthy young persons
P�rez-Jim�nez, F., L�pez-Miranda, J., Pinillos, M. D., Paz-Rojas, E., Montilla, P., Mar�n, C., Velasco, M. J., Blanco-Molina, A., Jim�nez Perep�rez, J. A., G�mez, P., et al. (2001) · Diabetologia · doi:10.1007/s001250100009 · Cited by 236
Dietary Factors That Promote or Retard Inflammation
Basu, A., Devaraj, S., & Jialal, I. (2006) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.0000214295.86079.d1 · Cited by 222
Expression profiling — best practices for data generation and interpretation in clinical trials
The Tumor Analysis Best Practices Working Group (2004) · Nature Reviews Genetics · doi:10.1038/nrg1297 · Cited by 203
The Modulation of Inflammatory Gene Expression by Lipids: Mediation through Toll-like Receptors
Lee, J. Y., & Hwang, D. H. (2006) · Molecules and Cells · doi:10.1016/s1016-8478(23)12877-9 · Cited by 196
You, T., Yang, R., Lyles, M. F., Gong, D., & Nicklas, B. J. (2005) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00419.2004 · Cited by 173
Nair, S., Lee, Y. H., Rousseau, E., Cam, M. C., Tataranni, P. A., Baier, L. J., Bogardus, C., & Permana, P. A. (2005) · Diabetologia · doi:10.1007/s00125-005-1868-2 · Cited by 141
Bos, M. B., de Vries, J. H. M., Feskens, E. J. M., van Dijk, S. J., Hoelen, D. W. M., Siebelink, E., Heijligenberg, R., & de Groot, C. P. G. M. (2009) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2009.05.008 · Cited by 137
Bouwens, M., Afman, L. A., & Müller, M. M. (2007) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/86.5.1515 · Cited by 129
Effect of Synthetic Dietary Triglycerides: A Novel Research Paradigm for Nutrigenomics
Sanderson, L. M., de Groot, P. J., Hooiveld, G. J. E. J., Koppen, A., Kalkhoven, E., Müller, M. M., & Kersten, S. (2008) · PLoS ONE · doi:10.1371/journal.pone.0001681 · Cited by 126
Mensink, R. P., de Groot, M. J. M., van den Broeke, L. T., Severijnen-Nobels, A. P., Demacker, P. N. M., & Katan, M. (1989) · Metabolism · doi:10.1016/0026-0495(89)90258-8 · Cited by 100
Are there specific treatments for the metabolic syndrome?
Giugliano, D., Ceriello, A., & Esposito, K. (2008) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/87.1.8 · Cited by 75
Bouwens, M., Afman, L. A., & Müller, M. M. (2008) · BMC Genomics · doi:10.1186/1471-2164-9-262 · Cited by 39
Stability of n−3 fatty acids in human fat tissue aspirates during storage
Deslypère, J. P., van de Bovenkamp, P., Harryvan, J. L., & Katan, M. (1993) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/57.6.884 · Cited by 16
Clustering of metabolic risk factors in young adults: Genes and environment
Peeters, M., Thomis, M. A., Loos, R. J. F., Derom, C. A., Fagard, R., VLIETINCK, R. F., & Beunen, G. P. (2008) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2007.11.024 · Cited by 12
Alberti (1998) · doi:10.1002/(sici)1096-9136(199807)15:7
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Calder, P. C., Ahluwalia, N., Albers, R., Bosco, N., Bourdet-Sicard, R., Haller, D., Holgate, S. T., Jönsson, L. S., Latulippe, M. E., Marcos, A., et al. (2013) · British Journal of Nutrition · doi:10.1017/s0007114512005119 · Cited by 425
Metadata
- Authors
- van Dijk, S. J., Feskens, E. J., Bos, M. B., Hoelen, D. W., Heijligenberg, R., Bromhaar, M. G., de Groot, L. C., de Vries, J. H., Müller, M., & Afman, L. A.
- Affiliations
- TiFN (NL)
- Corresponding author
- Afman, Lydia A
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2009-12
- Volume
- 90
- Issue
- 6
- Pages
- 1656-1664
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W2113492975
- Cited by
- 291
- References
- 46
- Citations by year
- 2026: 5 · 2025: 12 · 2024: 11 · 2023: 11 · 2022: 10 · 2021: 12 · 2020: 14 · 2019: 24 · 2018: 11 · 2017: 25 · 2016: 14 · 2015: 19 · 2014: 18 · 2013: 35 · 2012: 26
- FWCI
- 15.41
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion)
- UEA Digital Repository (University of East Anglia) (acceptedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Dutch Diabetes Research Foundation (20060052)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Nursing › Nutrition and Dietetics › Fatty Acid Research and Health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Lipid metabolism and biosynthesis
- Keywords
- saturated fatty acids, monounsaturated fatty acids, dietary fat composition, adipose tissue inflammation, metabolic syndrome, insulin sensitivity, gene expression profiles, oleic acid, LDL cholesterol, overweight, hyperinsulinemic-euglycemic clamp, cytokines
- MeSH terms
- Adipose Tissue, Adult, Aged, Complement C3, Fatty Acids, Female, Humans, Immunohistochemistry, Insulin Resistance, Lipids, Male, Middle Aged, Chemokine CCL5, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling, Metabolic Syndrome, PPAR gamma, Adiponectin
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