Evidence map›Paper›PMID 27051586›Full record

ArticleBBA clinical2016

Targeted lipidomics distinguishes patient subgroups in mild cognitive impairment (MCI) and late onset Alzheimer's disease (LOAD).

Paul L Wood, Victoria A Locke, Patrick Herling, Angelina Passaro, Giovanni B Vigna, Stefano Volpato, Giuseppe Valacchi, Carlo Cervellati, Giovanni Zuliani

Open access · hybridAbstract read
In one paragraph

Article in BBA clinical, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
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  13. Human Brain Lipidomics: Investigation of Formalin Fixed Brains.Frontiers in molecular neuroscience · 2022
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  14. Review
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  17. Article
  18. Worms, Fat, and Death:Metabolites · 2021
    Review
  19. Article
  20. Nrf2 Suppresses Oxidative Stress and Inflammation inMolecular and cellular biology · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Paul L WoodMetabolomics Unit, Dept. of Physiology and Pharmacology, DeBusk College of Osteopathic Medicine, Lincoln Memorial University, 6965 Cumberland Gap Pkwy., Harrogate, TN 37752, United States.
Victoria A LockeMetabolomics Unit, Dept. of Physiology and Pharmacology, DeBusk College of Osteopathic Medicine, Lincoln Memorial University, 6965 Cumberland Gap Pkwy., Harrogate, TN 37752, United States.
Patrick HerlingMetabolomics Unit, Dept. of Physiology and Pharmacology, DeBusk College of Osteopathic Medicine, Lincoln Memorial University, 6965 Cumberland Gap Pkwy., Harrogate, TN 37752, United States.
Angelina PassaroMedical Science Dept., Cardiopulmonary and Internal Medicine, University of Ferrara, Ferrara, Italy.
Giovanni B VignaMedical Science Dept., Cardiopulmonary and Internal Medicine, University of Ferrara, Ferrara, Italy.
Stefano VolpatoMedical Science Dept., Cardiopulmonary and Internal Medicine, University of Ferrara, Ferrara, Italy.
Giuseppe ValacchiDepartment of Life Sciences and Biotechnology, University of Ferrara, Via Luigi Borsari 46, 44121, Ferrara, Italy.
Carlo CervellatiDepartment of Biomedical and Specialist Surgical Sciences, Section of Medical Biochemistry, Molecular Biology and Genetics, University of Ferrara, via Borsari 46, 44121 Ferrara, Italy.
Giovanni ZulianiMedical Science Dept., Cardiopulmonary and Internal Medicine, University of Ferrara, Ferrara, Italy.
University of Ferrara · ITLincoln Memorial University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiverse research approaches support the concept that a clinical diagnosis of Late-Onset Alzheimer's Disease (LOAD) does not distinguish between subpopulations with differing neuropathologies, including dementia patients with amyloid deposition and dementia patients without amyloid deposition but with cortical thinning. Mild cognitive impairment (MCI) is generally considered the prodromal phase for LOAD, however, while a number of studies have attempted to define plasma biomarkers for the conversion of MCI to LOAD, these studies have not taken into account the heterogeneity of patient cohorts within a clinical phenotype.

methodsStudies of MCI and LOAD in several laboratories have demonstrated decrements in ethanolamine plasmalogen levels in plasma and brain and increased levels of diacylglycerols in plasma and brain. To further extend these studies and to address the issue of heterogeneity in MCI and LOAD patient groups we investigated the levels of diacylglycerols and ethanolamine plasmalogens in larger cohorts of patients utilizing, high-resolution (0.2 to 2 ppm mass error) mass spectrometry.

resultsFor the first time, our lipidomics data clearly stratify both MCI and LOAD subjects into 3 different patient cohorts within each clinical diagnosis. These include i) patients with lower circulating ethanolamine plasmalogen levels; ii) patients with augmented plasma diacylglycerol levels; and iii) patients with neither of these lipid alterations.

conclusionsThese represent the first serum biochemical data to stratify MCI and LOAD patients, advancing efforts to biochemically define patient heterogeneity in cognitive disorders. GENERAL SIGNIFICANCE: Lipidomics offers a new approach for identifying biomarkers and biological targets in cognitive disorders.

Indexed as

ADDAGMCIPatient stratificationPlasmalogens

Identifiers

PMID27051586
PMCPMC4802395
OpenAlexW2176882881

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.