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Metabolic profiling of a transgenic Caenorhabditis elegans Alzheimer model

(2015) METABOLOMICS. 11(2). p.477-486
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Abstract
Despite decades of research, no early-onset biomarkers are currently available for Alzheimer's disease, a cureless neurodegenerative disease afflicting millions worldwide. In this study, transgenic Caenorhabditis elegans were used to investigate changes in the metabolome after induced expression of amyloid-beta. GC- and LC-MS-based platforms determined a total of 157 differential features. Some of these were identified using in-house (GC-MS) or public libraries (LC-MS), revealing changes in allantoin, cystathionine and tyrosine levels. Since C. elegans is far better suited to metabolomics studies than most other model systems, the accordance of these findings with vertebrate literature is promising and argues for further use of C. elegans as a model of human pathology in the study of AD.
Keywords
Alzheimer's disease, TAU, Amyloid-beta, BETA-AMYLOID PEPTIDE, OXIDATIVE STRESS, ALLANTOIN LEVELS, MOUSE MODEL, DISEASE, IDENTIFICATION, EXTRACTION, EXPRESSION, MICE, Caenorhabditis elegans, Metabolic profiling, Metabolomics

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MLA
Van Assche, Roel, et al. “Metabolic Profiling of a Transgenic Caenorhabditis Elegans Alzheimer Model.” METABOLOMICS, vol. 11, no. 2, 2015, pp. 477–86, doi:10.1007/s11306-014-0711-5.
APA
Van Assche, R., Temmerman, L., Dias, D. A., Boughton, B., Boonen, K., Braeckman, B., … Roessner, U. (2015). Metabolic profiling of a transgenic Caenorhabditis elegans Alzheimer model. METABOLOMICS, 11(2), 477–486. https://doi.org/10.1007/s11306-014-0711-5
Chicago author-date
Van Assche, Roel, Liesbet Temmerman, Daniel A Dias, Berin Boughton, Kurt Boonen, Bart Braeckman, Liliane Schoofs, and Ute Roessner. 2015. “Metabolic Profiling of a Transgenic Caenorhabditis Elegans Alzheimer Model.” METABOLOMICS 11 (2): 477–86. https://doi.org/10.1007/s11306-014-0711-5.
Chicago author-date (all authors)
Van Assche, Roel, Liesbet Temmerman, Daniel A Dias, Berin Boughton, Kurt Boonen, Bart Braeckman, Liliane Schoofs, and Ute Roessner. 2015. “Metabolic Profiling of a Transgenic Caenorhabditis Elegans Alzheimer Model.” METABOLOMICS 11 (2): 477–486. doi:10.1007/s11306-014-0711-5.
Vancouver
1.
Van Assche R, Temmerman L, Dias DA, Boughton B, Boonen K, Braeckman B, et al. Metabolic profiling of a transgenic Caenorhabditis elegans Alzheimer model. METABOLOMICS. 2015;11(2):477–86.
IEEE
[1]
R. Van Assche et al., “Metabolic profiling of a transgenic Caenorhabditis elegans Alzheimer model,” METABOLOMICS, vol. 11, no. 2, pp. 477–486, 2015.
@article{6860900,
  abstract     = {{Despite decades of research, no early-onset biomarkers are currently available for Alzheimer's disease, a cureless neurodegenerative disease afflicting millions worldwide. In this study, transgenic Caenorhabditis elegans were used to investigate changes in the metabolome after induced expression of amyloid-beta. GC- and LC-MS-based platforms determined a total of 157 differential features. Some of these were identified using in-house (GC-MS) or public libraries (LC-MS), revealing changes in allantoin, cystathionine and tyrosine levels. Since C. elegans is far better suited to metabolomics studies than most other model systems, the accordance of these findings with vertebrate literature is promising and argues for further use of C. elegans as a model of human pathology in the study of AD.}},
  author       = {{Van Assche, Roel and Temmerman, Liesbet and Dias, Daniel A and Boughton, Berin and Boonen, Kurt and Braeckman, Bart and Schoofs, Liliane and Roessner, Ute}},
  issn         = {{1573-3882}},
  journal      = {{METABOLOMICS}},
  keywords     = {{Alzheimer's disease,TAU,Amyloid-beta,BETA-AMYLOID PEPTIDE,OXIDATIVE STRESS,ALLANTOIN LEVELS,MOUSE MODEL,DISEASE,IDENTIFICATION,EXTRACTION,EXPRESSION,MICE,Caenorhabditis elegans,Metabolic profiling,Metabolomics}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{477--486}},
  title        = {{Metabolic profiling of a transgenic Caenorhabditis elegans Alzheimer model}},
  url          = {{http://doi.org/10.1007/s11306-014-0711-5}},
  volume       = {{11}},
  year         = {{2015}},
}

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