Evidence map›Paper›PMID 25562043›Full record

ArticleOsong public health and research perspectives2014

Aging-related Changes in Mouse Serum Glycerophospholipid Profiles.

Seungwoo Kim, Hyo-Soon Cheon, Jae-Chun Song, Sang-Moon Yun, Sang Ick Park, Jae-Pil Jeon

Open access · diamondAbstract read
In one paragraph

Article in Osong public health and research perspectives, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

11 citing papers in PubMed, 24 citations in OpenAlex.

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  8. Nutrients · 2018
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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

6 authors at 1 institution in 1 country.

Seungwoo KimDivision of Brain Diseases, Korea National Institute of Health, Cheongju, Korea.
Hyo-Soon CheonDivision of Brain Diseases, Korea National Institute of Health, Cheongju, Korea.
Jae-Chun SongDivision of Brain Diseases, Korea National Institute of Health, Cheongju, Korea.
Sang-Moon YunDivision of Brain Diseases, Korea National Institute of Health, Cheongju, Korea.
Sang Ick ParkDivision of Brain Diseases, Korea National Institute of Health, Cheongju, Korea.
Jae-Pil JeonDivision of Brain Diseases, Korea National Institute of Health, Cheongju, Korea.
Korea National Institute of Health · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMetabolic dysfunction is a common hallmark of the aging process and aging-related pathogenesis. Blood metabolites have been used as biomarkers for many diseases, including cancers, complex chronic diseases, and neurodegenerative diseases.

methodsIn order to identify aging-related biomarkers from blood metabolites, we investigated the specific metabolite profiles of mouse sera from 4-month-old and 21-month-old mice by using a combined flow injection analysis-tandem mass spectrometry and liquid chromatography-tandem mass spectrometry.

resultsAmong the 156 metabolites detected, serum levels of nine individual metabolites were found to vary with aging. Specifically, lysophosphatidylcholine (LPC) acyl (a) C24:0 levels in aged mice were decreased compared to that in young mice, whereas phosphatidylcholine (PC) acyl-alkyl (ae) C38:4, PC ae C40:4, and PC ae C42:1 levels were increased. Three classes of metabolites (amino acids, LPCs, and PCs) differed in intraclass correlation patterns of the individual metabolites between sera from young and aged mice. Additionally, the ratio of LPC a C24:0 to PC ae C38:4 was decreased in the aged mice, whereas the ratio of PC ae C40:4 to LPC a C24:0 was increased, supporting the aging-related metabolic changes of glycerophospholipids.

conclusionThe ratios of the individual metabolites PC and LPC could serve as potential biomarkers for aging and aging-related diseases.

Indexed as

agingglycerophospholipidserumtargeted-metabolomics

Identifiers

PMID25562043
PMCPMC4281626
OpenAlexW2119290739

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.