The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
Metabolome in progression to Alzheimer's disease
Open accessAbstract
Mild cognitive impairment (MCI) is considered as a transition phase between normal aging and Alzheimer's disease (AD). MCI confers an increased risk of developing AD, although the state is heterogeneous with several possible outcomes, including even improvement back to normal cognition. We sought to determine the serum metabolomic profiles associated with progression to and diagnosis of AD in a prospective study. At the baseline assessment, the subjects enrolled in the study were classified into three diagnostic groups: healthy controls (n=46), MCI (n=143) and AD (n=47). Among the MCI subjects, 52 progressed to AD in the follow-up. Comprehensive metabolomics approach was applied to analyze baseline serum samples and to associate the metabolite profiles with the diagnosis at baseline and in the follow-up. At baseline, AD patients were characterized by diminished ether phospholipids, phosphatidylcholines, sphingomyelins and sterols. A molecular signature comprising three metabolites was identified, which was predictive of progression to AD in the follow-up. The major contributor to the predictive model was 2,4-dihydroxybutanoic acid, which was upregulated in AD progressors (P=0.0048), indicating potential involvement of hypoxia in the early AD pathogenesis. This was supported by the pathway analysis of metabolomics data, which identified upregulation of pentose phosphate pathway in patients who later progressed to AD. Together, our findings primarily implicate hypoxia, oxidative stress, as well as membrane lipid remodeling in progression to AD. Establishment of pathogenic relevance of predictive biomarkers such as ours may not only facilitate early diagnosis, but may also help identify new therapeutic avenues.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. (2013) · Encyclopedia of Social Work · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,519
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
(2005) · Statistics for Biology and Health · doi:10.1007/0-387-27255-0_9 · Cited by 20,133
Regularization Paths for Generalized Linear Models via Coordinate Descent
Friedman, J., Hastie, T., & Tibshirani, R. (2010) · Journal of Statistical Software · doi:10.18637/jss.v033.i01 · Cited by 19,927
McCullagh, P., & Nelder, J. A. (1989) · doi:10.1007/978-1-4899-3242-6 · Cited by 16,836
Mild cognitive impairment as a diagnostic entity
Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864
Gauthier, S., Reisberg, B., Zaudig, M., Petersen, R. C., Ritchie, K., Broich, K., Belleville, S., Brodaty, H., Bennett, D., Chertkow, H., et al. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68542-5 · Cited by 3,850
Pluskal, T., Castillo, S., Villar-Briones, A., & Orešič, M. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-395 · Cited by 3,845
Self-citationOxidative stress hypothesis in Alzheimer’s disease
Markesbery, W. R. (1997) · Free Radical Biology and Medicine · doi:10.1016/s0891-5849(96)00629-6 · Cited by 2,383
Cited by
The return of metabolism: biochemistry and physiology of the pentose phosphate pathway
Stincone, A., Prigione, A., Cramer, T., Wamelink, M. M. C., Campbell, K., Cheung, E., Olin‐Sandoval, V., Grüning, N., Krüger, A., Tauqeer Alam, M., et al. (2015) · Biological Reviews · doi:10.1111/brv.12140 · Cited by 1,576
Lipids and Alzheimer’s Disease
Kao, Y.-C., Ho, P.-C., Tu, Y.-K., Jou, I.-M., & Tsai, K.-J. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21041505 · Cited by 485
Trushina, E., Dutta, T., Persson, X.-M. T., Mielke, M. M., & Petersen, R. C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063644 · Cited by 438
Evidence of altered phosphatidylcholine metabolism in Alzheimer's disease
Whiley, L., Sen, A., Heaton, J., Proitsi, P., García-Gómez, D., Leung, R., Smith, N., Thambisetty, M., Kloszewska, I., Mecocci, P., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.08.001 · Cited by 340
Self-citationSnowden, S. G., Ebshiana, A. A., Hye, A., An, Y., Pletnikova, O., O’Brien, R., Troncoso, J., Legido-Quigley, C., & Thambisetty, M. (2017) · PLOS Medicine · doi:10.1371/journal.pmed.1002266 · Cited by 309
Metadata
- Authors
- Orešič, M., Hyötyläinen, T., Herukka, S.-K., Sysi-Aho, M., Mattila, I., Seppänan-Laakso, T., Julkunen, V, Gopalacharyulu, P. V., Hallikainen, M., Koikkalainen, J., Kivipelto, M., Helisalmi, S., Lötjönen, J., & Soininen, H.
- Venue
- Translational Psychiatry
- Published
- 2011-12-13
- Volume
- 1
- Issue
- 12
- Pages
- e57-e57
- ISSN
- 2158-3188 (ISSN-L)
- OpenAlex
- W1981686145
- Cited by
- 277
- References
- 65
- FWCI
- 12.02
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Metabolome in progression to Alzheimer's disease. https://app.cochat.ai/papers/10.1038/tp.2011.55
- The paper
- Orešič, M., Hyötyläinen, T., Herukka, S.-K., Sysi-Aho, M., Mattila, I., Seppänan-Laakso, T., Julkunen, V, Gopalacharyulu, P. V., Hallikainen, M., Koikkalainen, J., Kivipelto, M., Helisalmi, S., Lötjönen, J., & Soininen, H. (2011). Metabolome in progression to Alzheimer's disease. Translational Psychiatry. https://doi.org/10.1038/tp.2011.55
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
