Evidence map›Paper›PMID 26973115›Full record

ArticleNeurobiology of aging2016

Identifying postmenopausal women at risk for cognitive decline within a healthy cohort using a panel of clinical metabolic indicators: potential for detecting an at-Alzheimer's risk metabolic phenotype.

Jamaica R Rettberg, Ha Dang, Howard N Hodis, Victor W Henderson, Jan A St John, Wendy J Mack, Roberta Diaz Brinton

Open access · hybridAbstract read
In one paragraph

Article in Neurobiology of aging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 44 citations in OpenAlex.

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  16. Sex-dependent effect ofDisease models & mechanisms · 2020
    Review
  17. Adiponectin and Cognitive Decline.International journal of molecular sciences · 2020
    Review
  18. Review
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  20. APOE genotype affects metabolic and Alzheimer-related outcomes induced by Western diet in female EFAD mice.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2019
    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

7 authors at 2 institutions in 1 country.

Jamaica R RettbergNeuroscience Department, University of Southern California, Los Angeles, CA, USA.
Ha DangDepartment of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
Howard N HodisDepartment of Preventive Medicine, University of Southern California, Los Angeles, CA, USA; Department of Medicine, Atherosclerosis Research Unit, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Southern California, Los Angeles, CA, USA.
Victor W HendersonDivision of Epidemiology, Department of Health Research and Policy, Stanford University, Stanford, CA, USA; Department of Neurology & Neurological Sciences, Stanford University, Stanford, CA, USA.
Jan A St JohnDepartment of Preventive Medicine, University of Southern California, Los Angeles, CA, USA; Department of Medicine, Atherosclerosis Research Unit, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Wendy J MackDepartment of Preventive Medicine, University of Southern California, Los Angeles, CA, USA; Department of Medicine, Atherosclerosis Research Unit, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Roberta Diaz BrintonNeuroscience Department, University of Southern California, Los Angeles, CA, USA; Department of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Southern California, Los Angeles, CA, USA; Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. Electronic address: rbrinton@usc.edu.
University of Southern California · USStanford University · US

Funding

Timing of Menopausal Hormone Therapy across Perimenopause to Menopause Transition: Neuroimmune System in BrainP01AG026572 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fei Yin · 2006 to 2026
$53.7M
Biologic Response of Menopausal Women to 17B-EstradiolR01AG024154 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HODIS, HOWARD NEIL · 2004 to 2012
$13.8M
Working Memory in Parkinson Disease: A Cognitive & Systems Neuroscience ApproachP50AG047366 · NIA · STANFORD UNIVERSITY · PI HENDERSON, VICTOR · 2015 to 2019
$7.9M
Estrogen Receptor-beta phytoSERMs for Management of Menopause and Memory DeclineR01AG033288 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SCHNEIDER, LON S · 2010 to 2012
$1.6M
Estrogen-Induced Neuroprotective Mitochondrial MechanismR01AG032236 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BRINTON, ROBERTA EILEEN · 2009 to 2013
$1.6M
Los Angeles Basin Clinical and Translational Science InstituteTL1RR031992 · NCRR · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2010 to 2011
$327k
Metabolic biomarkers for early detection of women at risk for Alzheimer's diseaseF31AG044997 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI RETTBERG, JAMAICA · 2013 to 2014
$66k
NCRR NIH HHS TL1 RR031992NCRR NIH HHS TL1RR031992NIA NIH HHS F31 AG044997NIA NIH HHS F31AG044997NIA NIH HHS P01 AG026572NIA NIH HHS P01AG026572NIA NIH HHS P50 AG047366NIA NIH HHS R01 AG024154NIA NIH HHS R01AG024154NIA NIH HHS R01 AG032236NIA NIH HHS R01AG032236NIA NIH HHS R01 AG033288NIA NIH HHS R01AG033288
6 · The paper itself

Abstract

Detecting at-risk individuals within a healthy population is critical for preventing or delaying Alzheimer's disease. Systems biology integration of brain and body metabolism enables peripheral metabolic biomarkers to serve as reporters of brain bioenergetic status. Using clinical metabolic data derived from healthy postmenopausal women in the Early versus Late Intervention Trial with Estradiol (ELITE), we conducted principal components and k-means clustering analyses of 9 biomarkers to define metabolic phenotypes. Metabolic clusters were correlated with cognitive performance and analyzed for change over 5 years. Metabolic biomarkers at baseline generated 3 clusters, representing women with healthy, high blood pressure, and poor metabolic phenotypes. Compared with healthy women, poor metabolic women had significantly lower executive, global and memory cognitive performance. Hormone therapy provided metabolic benefit to women in high blood pressure and poor metabolic phenotypes. This panel of well-established clinical peripheral biomarkers represents an initial step toward developing an affordable, rapidly deployable, and clinically relevant strategy to detect an at-risk phenotype of late-onset Alzheimer's disease.

Indexed as

BiomarkersPhenotypePostmenopauseAgedAlzheimer DiseaseCognitionCognitive DysfunctionCohort StudiesEstradiolExecutive FunctionFemaleHumansMemoryMiddle AgedRandomized Controlled Trials as TopicRiskBiomarkersEstradiolAlzheimer's diseaseBiomarkerCognitive agingHormone therapyMenopauseMetabolism

Identifiers

PMID26973115
PMCPMC4921204
OpenAlexW2262606767

What Socratic 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 Socratic graph.