The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Acquired Obesity Is Associated with Changes in the Serum Lipidomic Profile Independent of Genetic Effects – A Monozygotic Twin Study
Open accessAbstract
Both genetic and environmental factors are involved in the etiology of obesity and the associated lipid disturbances. We determined whether acquired obesity is associated with changes in global serum lipid profiles independent of genetic factors in young adult monozygotic (MZ) twins. 14 healthy MZ pairs discordant for obesity (10 to 25 kg weight difference) and ten weight concordant control pairs aged 24-27 years were identified from a large population-based study. Insulin sensitivity was assessed by the euglycemic clamp technique, and body composition by DEXA (% body fat) and by MRI (subcutaneous and intra-abdominal fat). Global characterization of lipid molecular species in serum was performed by a lipidomics strategy using liquid chromatography coupled to mass spectrometry. Obesity, independent of genetic influences, was primarily related to increases in lysophosphatidylcholines, lipids found in proinflammatory and proatherogenic conditions and to decreases in ether phospholipids, which are known to have antioxidant properties. These lipid changes were associated with insulin resistance, a pathogonomic characteristic of acquired obesity in these young adult twins. Our results show that obesity, already in its early stages and independent of genetic influences, is associated with deleterious alterations in the lipid metabolism known to facilitate atherogenesis, inflammation and insulin resistance.
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Epigenetic differences arise during the lifetime of monozygotic twins
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Reactive oxygen species have a causal role in multiple forms of insulin resistance
Houstis, N., Rosen, E. D., & Lander, E. S. (2006) · Nature · doi:10.1038/nature04634 · Cited by 2,525 · cited 1×
“High ROS production, rather than low ether phospholipid concentration itself, may then be the factor negatively regulating insulin signaling [54].”
Backgroundvan den Berg, R. A., Hoefsloot, H. C., Westerhuis, J. A., Smilde, A. K., & van der Werf, M. J. (2006) · BMC Genomics · doi:10.1186/1471-2164-7-142 · Cited by 2,450
SIMPLS: An alternative approach to partial least squares regression
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Kannisto, K., Pietiläinen, K. H., Ehrenborg, E., Rissanen, A., Kaprio, J., Hamsten, A., & Yki-Järvinen, H. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2004-0153 · Cited by 205
Self-citationVery long chain fatty acids in higher animals: a review
Poulos, A. (1995) · Lipids · doi:10.1007/bf02537036 · Cited by 192
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Floegel, A., Stefan, N., Yu, Z., Mühlenbruch, K., Drogan, D., Joost, H.-G., Fritsche, A., Häring, H.-U., Hrabě de Angelis, M., Peters, A., et al. (2013) · Diabetes · doi:10.2337/db12-0495 · Cited by 988
Data processing for mass spectrometry-based metabolomics
Katajamaa, M., & Orešič, M. (2007) · Journal of Chromatography A · doi:10.1016/j.chroma.2007.04.021 · Cited by 616
Metabolomic Analysis of Livers and Serum from High-Fat Diet Induced Obese Mice
Kim, H.-J., Kim, J. H., Noh, S., Hur, H. J., Sung, M. J., Hwang, J.-T., Park, J. H., Yang, H. J., Kim, M.-S., Kwon, D. Y., et al. (2011) · Journal of Proteome Research · doi:10.1021/pr100892r · Cited by 376
Hepatic lipid metabolism and non-alcoholic fatty liver disease
Tessari, P., Coracina, A., Cosma, A., & Tiengo, A. (2009) · Nutrition, Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2008.12.015 · Cited by 314
Clonal immunoglobulin against lysolipids in the origin of myeloma
Nair, S., Branagan, A. R., Liu, J., Boddupalli, C. S., Mistry, P. K., & Dhodapkar, M. V. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1508808 · Cited by 203
The relationship between BMI and metabolomic profiles: a focus on amino acids
Morris, C., O'Grada, C., Ryan, M., Roche, H. M., Gibney, M. J., Gibney, E. R., & Brennan, L. (2012) · Proceedings of the Nutrition Society · doi:10.1017/s0029665112000699 · Cited by 81
Lipidomics Analysis of Behavioral Variant Frontotemporal Dementia: A Scope for Biomarker Development
Kim, W. S., Jary, E., Pickford, R., He, Y., Ahmed, R. M., Piguet, O., Hodges, J. R., & Halliday, G. M. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00104 · Cited by 50
Heritability and responses to high fat diet of plasma lipidomics in a twin study
Frahnow, T., Osterhoff, M. A., Hornemann, S., Kruse, M., Surma, M. A., Klose, C., Simons, K., & Pfeiffer, A. F. H. (2017) · Scientific Reports · doi:10.1038/s41598-017-03965-6 · Cited by 46
Twin studies advance the understanding of gene-environment interplay in human nutrigenomics
Pallister, T., Spector, T. D., & Menni, C. (2014) · Nutrition Research Reviews · doi:10.1017/s095442241400016x · Cited by 20
Orešič, M., Seppänen-Laakso, T., Sun, D., Tang, J., Therman, S., Viehman, R., Mustonen, U., van Erp, T. G., Hyötyläinen, T., Thompson, P., et al. (2012) · Genome Medicine · doi:10.1186/gm300 · Cited by 5
Self-citation
Metadata
- Authors
- Pietiläinen, K. H., Sysi-Aho, M., Rissanen, A., Seppänen-Laakso, T., Yki-Järvinen, H., Kaprio, J., & Orešič, M.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2007-02-14
- Volume
- 2
- Issue
- 2
- Pages
- e218
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2042840742
- Cited by
- 418
- References
- 7
- FWCI
- 7.42
- Type
- journal article
- Language
- en
- Open access
- gold
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