Evidence map›Paper›PMID 32079087›Full record

ArticleInternational journal of molecular sciences2020

Blood Metabolite Signatures of Metabolic Syndrome in Two Cross-Cultural Older Adult Cohorts.

Uma V Mahajan, Vijay R Varma, Chiung-Wei Huang, Yang An, Toshiko Tanaka, Luigi Ferrucci, Toru Takebayashi, Sei Harada, Miho Iida, Cristina Legido-Quigley and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

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  5. Metabolite patterns link diet, obesity, and type 2 diabetes in a Hispanic population.Metabolomics : Official journal of the Metabolomic Society · 2021
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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

11 authors at 4 institutions in 4 countries.

Uma V MahajanClinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.
Vijay R VarmaClinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.
Chiung-Wei HuangBrain Aging and Behavior Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.
Yang AnBrain Aging and Behavior Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.
Toshiko TanakaTranslational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD 21224, USA.ORCID 0000-0002-4161-3829
Luigi FerrucciTranslational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD 21224, USA.
Toru TakebayashiDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo 160-8582, Japan.
Sei HaradaDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo 160-8582, Japan.
Miho IidaDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo 160-8582, Japan.ORCID 0000-0001-5527-7574
Cristina Legido-QuigleyInstitute of Pharmaceutical Science, Kings College London, London SE19NH, UK.
Madhav ThambisettyClinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.
National Institutes of Health · USKeio University · JPNational Institute on Aging · USSteno Diabetes Centers · DK

Funding

Understanding mechanisms and seeking novel biomarkers in Alzheimer's diseaseZIAAG000200 · NIA · NATIONAL INSTITUTE ON AGING · PI RESNICK, SUSAN · 2013 to 2024
$12.2M
Biomarkers of Homestatic Dysregulation in Aging and Chronic DiseaseZIAAG000971 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2009 to 2025
$1.9M
6 · The paper itself

Abstract

Metabolic syndrome (MetS) affects an increasing number of older adults worldwide. Cross-cultural comparisons can provide insight into how factors, including genetic, environmental, and lifestyle, may influence MetS prevalence. Metabolomics, which measures the biochemical products of cell processes, can be used to enhance a mechanistic understanding of how biological factors influence metabolic outcomes. In this study we examined associations between serum metabolite concentrations, representing a range of biochemical pathways and metabolic syndrome in two older adult cohorts: The Tsuruoka Metabolomics Cohort Study (TMCS) from Japan (

Indexed as

MetabolomeAgedAged, 80 and overAgingCohort StudiesFemaleHumansJapanLongitudinal StudiesMaleMetabolic SyndromeMetabolomicsRisk FactorsUnited Statesacylcarnitinesamino acidsceramidesdiabeteshypertensionmetabolic syndromemetabolomicsobesityphosphatidylcholinessphingomyelinstriglycerides

Identifiers

PMID32079087
PMCPMC7072935
OpenAlexW3005615743

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.