Evidence map›Paper›PMID 32065798›Full record

ArticleJournal of Alzheimer's disease : JAD2020

Correlates and Predictors of Cerebrospinal Fluid Cholesterol Efflux Capacity from Neural Cells, a Family of Biomarkers for Cholesterol Epidemiology in Alzheimer's Disease.

Eleonora Cipollari, Hannah J Szapary, Antonino Picataggi, Jeffrey T Billheimer, Catherine A Lyssenko, Gui-Shuang Ying, Leslie M Shaw, Mitchel A Kling, Rima Kaddurah-Daouk, Daniel J Rader and 3 more

Open access · greenAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
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  3. Article
  4. Mimicking opioid analgesia in cortical pain circuits.bioRxiv : the preprint server for biology · 2025
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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

13 authors at 5 institutions in 1 country.

Eleonora CipollariDivision of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Hannah J SzaparyDivision of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Antonino PicataggiDivision of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Jeffrey T BillheimerDivision of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Catherine A LyssenkoOffice of Institutional Research & Analysis, University of Pennsylvania, Philadelphia, PA, USA.
Gui-Shuang YingScheie Eye Institute, Department of Ophthalmology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Leslie M ShawDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Mitchel A KlingDepartment of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Rima Kaddurah-DaoukDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.
Daniel J RaderDivision of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Domenico PraticòAlzheimer's Center at Temple, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, USA.
Nicholas N LyssenkoAlzheimer's Center at Temple, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, USA.
Alzheimer’s Disease Metabolomics Consortium
University of Pennsylvania · USTemple University · USBehavioral Health Services · USDuke University · USPenn Presbyterian Medical Center · US

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI MICHAEL W WEINER · 2016 to 2026
$226.7M
Scientific TransparencyP30EY001583 · NEI · UNIVERSITY OF PENNSYLVANIA · PI Qi N Cui · 1985 to 2026
$19.5M
Metabolomic Signatures for Disease Sub-classification and Target Prioritization in AMP-ADU01AG061359 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, KASTENMULLER, GABI · 2018 to 2022
$10.0M
Metabolic Signatures Underlying Vascular Risk Factors for Alzheimer-type DementiasRF1AG051550 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, KLING, MITCHEL ALLAN · 2015 to 2016
$6.3M
NEI NIH HHS P30 EY001583NIA NIH HHS RF1 AG051550NIA NIH HHS U01 AG061359NIA NIH HHS U19 AG024904
6 · The paper itself

Abstract

backgroundBasic research has implicated intracellular cholesterol in neurons, microglia, and astrocytes in the pathogenesis of Alzheimer's disease (AD), but there is presently no assay to access intracellular cholesterol in neural cells in living people in the context of AD.

objectiveTo devise and characterize an assay that can access intracellular cholesterol and cholesterol efflux in neural cells in living subjects.

methodsWe modified the protocol for high-density lipoprotein cholesterol efflux capacity (CEC) from macrophages, a biomarker that accesses cholesterol in macrophages in atherosclerosis. To measure cerebrospinal fluid (CSF) CECs from neurons, microglia, and astrocytes, CSF was exposed to, correspondingly, neuronal, microglial, and astrocytic cholesterol source cells. Human neuroblastoma SH-SY5Y, mouse microglial N9, and human astroglial A172 cells were used as the cholesterol source cells. CSF samples were screened for contamination with blood. CSF CECs were measured in a small cohort of 22 individuals.

resultsCSF CECs from neurons, microglia, and astrocytes were moderately to moderately strongly correlated with CSF concentrations of cholesterol, apolipoprotein A-I, apolipoprotein E, and clusterin (Pearson's r = 0.53-0.86), were in poor agreement with one another regarding CEC of the CSF samples (Lin's concordance coefficient rc = 0.71-0.76), and were best predicted by models consisting of, correspondingly, CSF phospholipid (R2 = 0.87, p < 0.0001), CSF apolipoprotein A-I and clusterin (R2 = 0.90, p < 0.0001), and CSF clusterin (R2 = 0.62, p = 0.0005).

conclusionCharacteristics of the CSF CEC metrics suggest a potential for independent association with AD and provision of fresh insight into the role of cholesterol in AD pathogenesis.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseAstrocytesBiomarkersCell Line, TumorCholesterolCohort StudiesFemaleHumansMaleMicrogliaMiddle AgedNeuronsPredictive Value of TestsBiomarkersCholesterolABCA1ABCG1Alzheimer’s disease biomarkersapolipoprotein A-Iapolipoprotein Ecell cholesterol effluxclusterin (apolipoprotein J)SR-BI

Identifiers

PMID32065798
PMCPMC7333913
OpenAlexW3006447019

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.