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One-carbon metabolism, cognitive impairment and CSF measures of Alzheimer pathology: homocysteine and beyond

Overview of attention for article published in Alzheimer's Research & Therapy, June 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 news outlet
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1 X user

Citations

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50 Dimensions

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95 Mendeley
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Title
One-carbon metabolism, cognitive impairment and CSF measures of Alzheimer pathology: homocysteine and beyond
Published in
Alzheimer's Research & Therapy, June 2017
DOI 10.1186/s13195-017-0270-x
Pubmed ID
Authors

Loïc Dayon, Seu Ping Guiraud, John Corthésy, Laeticia Da Silva, Eugenia Migliavacca, Domilė Tautvydaitė, Aikaterini Oikonomidi, Barbara Moullet, Hugues Henry, Sylviane Métairon, Julien Marquis, Patrick Descombes, Sebastiano Collino, François-Pierre J. Martin, Ivan Montoliu, Martin Kussmann, Jérôme Wojcik, Gene L. Bowman, Julius Popp

Abstract

Hyperhomocysteinemia is a risk factor for cognitive decline and dementia, including Alzheimer disease (AD). Homocysteine (Hcy) is a sulfur-containing amino acid and metabolite of the methionine pathway. The interrelated methionine, purine, and thymidylate cycles constitute the one-carbon metabolism that plays a critical role in the synthesis of DNA, neurotransmitters, phospholipids, and myelin. In this study, we tested the hypothesis that one-carbon metabolites beyond Hcy are relevant to cognitive function and cerebrospinal fluid (CSF) measures of AD pathology in older adults. Cross-sectional analysis was performed on matched CSF and plasma collected from 120 older community-dwelling adults with (n = 72) or without (n = 48) cognitive impairment. Liquid chromatography-mass spectrometry was performed to quantify one-carbon metabolites and their cofactors. Least absolute shrinkage and selection operator (LASSO) regression was initially applied to clinical and biomarker measures that generate the highest diagnostic accuracy of a priori-defined cognitive impairment (Clinical Dementia Rating-based) and AD pathology (i.e., CSF tau phosphorylated at threonine 181 [p-tau181]/β-Amyloid 1-42 peptide chain [Aβ1-42] >0.0779) to establish a reference benchmark. Two other LASSO-determined models were generated that included the one-carbon metabolites in CSF and then plasma. Correlations of CSF and plasma one-carbon metabolites with CSF amyloid and tau were explored. LASSO-determined models were stratified by apolipoprotein E (APOE) ε4 carrier status. The diagnostic accuracy of cognitive impairment for the reference model was 80.8% and included age, years of education, Aβ1-42, tau, and p-tau181. A model including CSF cystathionine, methionine, S-adenosyl-L-homocysteine (SAH), S-adenosylmethionine (SAM), serine, cysteine, and 5-methyltetrahydrofolate (5-MTHF) improved the diagnostic accuracy to 87.4%. A second model derived from plasma included cystathionine, glycine, methionine, SAH, SAM, serine, cysteine, and Hcy and reached a diagnostic accuracy of 87.5%. CSF SAH and 5-MTHF were associated with CSF tau and p-tau181. Plasma one-carbon metabolites were able to diagnose subjects with a positive CSF profile of AD pathology in APOE ε4 carriers. We observed significant improvements in the prediction of cognitive impairment by adding one-carbon metabolites. This is partially explained by associations with CSF tau and p-tau181, suggesting a role for one-carbon metabolism in the aggregation of tau and neuronal injury. These metabolites may be particularly critical in APOE ε4 carriers.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 1%
Unknown 94 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 14%
Student > Bachelor 13 14%
Student > Master 12 13%
Student > Ph. D. Student 11 12%
Student > Doctoral Student 4 4%
Other 16 17%
Unknown 26 27%
Readers by discipline Count As %
Medicine and Dentistry 17 18%
Biochemistry, Genetics and Molecular Biology 13 14%
Neuroscience 11 12%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Agricultural and Biological Sciences 3 3%
Other 15 16%
Unknown 32 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 June 2017.
All research outputs
#3,148,937
of 22,981,247 outputs
Outputs from Alzheimer's Research & Therapy
#807
of 1,239 outputs
Outputs of similar age
#60,214
of 316,926 outputs
Outputs of similar age from Alzheimer's Research & Therapy
#13
of 23 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,239 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.0. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 316,926 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.