Evidence map›Paper›PMID 25974350›Full record

ArticlePloS one2015

Plasma metabolomic profiling of patients with diabetes-associated cognitive decline.

Lin Zhang, Meng Li, Libin Zhan, Xiaoguang Lu, Lina Liang, Benli Su, Hua Sui, Zhengnan Gao, Yuzhong Li, Ying Liu and 2 more

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

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  17. Dysregulation of ΔMolecular and cellular endocrinology · 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

12 authors.

Lin ZhangAcademy of Integrative Medicine, Dalian Medical University, Dalian, Liaoning, China.
Meng LiAcademy of Integrative Medicine, Dalian Medical University, Dalian, Liaoning, China.
Libin ZhanDepartment of Traditional Chinese Medicine, the Second Affiliated Hospital, Dalian Medical University, Dalian, Liaoning, China; Academy of Integrative Medicine, Dalian Medical University, Dalian, Liaoning, China.
Xiaoguang LuDepartment of Emergency Medicine, Zhongshan Hospital, Dalian University, Dalian, Liaoning, China.
Lina LiangAcademy of Integrative Medicine, Dalian Medical University, Dalian, Liaoning, China.
Benli SuDepartment of endocrinology, the Second Affiliated Hospital, Dalian Medical University, Dalian, Liaoning, China.
Hua SuiAcademy of Integrative Medicine, Dalian Medical University, Dalian, Liaoning, China.
Zhengnan GaoDepartment of endocrinology, Dalian Municipal Central Hospital Affillated of Dalian Medical University, Dalian, Liaoning, China.
Yuzhong LiExamination Department, the Second Affiliated Hospital, Dalian Medical University, Dalian, Liaoning, China.
Ying LiuMedical Examination Center, the Second Affiliated Hospital, Dalian Medical University, Dalian, Liaoning, China.
Benhui WuMedical Examination Center, the Second Affiliated Hospital, Dalian Medical University, Dalian, Liaoning, China.
Qigui LiuPublic Health, Dalian Medical University, Dalian, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes related cognitive dysfunction (DACD), one of the chronic complications of diabetes, seriously affect the quality of life in patients and increase family burden. Although the initial stage of DACD can lead to metabolic alterations or potential pathological changes, DACD is difficult to diagnose accurately. Moreover, the details of the molecular mechanism of DACD remain somewhat elusive. To understand the pathophysiological changes that underpin the development and progression of DACD, we carried out a global analysis of metabolic alterations in response to DACD. The metabolic alterations associated with DACD were first investigated in humans, using plasma metabonomics based on high-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry and multivariate statistical analysis. The related pathway of each metabolite of interest was searched in database online. The network diagrams were established KEGGSOAP software package. Receiver operating characteristic (ROC) analysis was used to evaluate diagnostic accuracy of metabolites. This is the first report of reliable biomarkers of DACD, which were identified using an integrated strategy. The identified biomarkers give new insights into the pathophysiological changes and molecular mechanisms of DACD. The disorders of sphingolipids metabolism, bile acids metabolism, and uric acid metabolism pathway were found in T2DM and DACD. On the other hand, differentially expressed plasma metabolites offer unique metabolic signatures for T2DM and DACD patients. These are potential biomarkers for disease monitoring and personalized medication complementary to the existing clinical modalities.

Indexed as

MetabolomeAgedArea Under CurveBile Acids and SaltsBiomarkersCase-Control StudiesChromatography, High Pressure LiquidCognition DisordersDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedMultivariate AnalysisPrincipal Component AnalysisROC CurveBile Acids and SaltsBiomarkersSphingolipidsUric Acid

Identifiers

PMID25974350
PMCPMC4431856

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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.