Evidence map›Paper›PMID 28719622›Full record

ArticlePloS one2017

Characterization of plasma metal profiles in Alzheimer's disease using multivariate statistical analysis.

Chunmei Guan, Rui Dang, Yu Cui, Liyan Liu, Xiaobei Chen, Xiaoyu Wang, Jingli Zhu, Donggang Li, Junwei Li, Decai Wang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 26% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Metals in Alzheimer's Disease.Biomedicines · 2023
    Review
  7. Review
  8. Yeast as a Model to Find New Drugs and Drug Targets forInternational journal of molecular sciences · 2022
    Review
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  10. Review
  11. Review
  12. Article
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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

10 authors at 2 institutions in 1 country.

Chunmei GuanDepartment of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, Heilongjiang, China.
Rui DangHobo college of Xinjiang Medical University, Xinjiang, Kelamayi, China.
Yu CuiDepartment of Social Medicine, Public Health College, Harbin Medical University, Harbin, Heilongjiang, China.
Liyan LiuDepartment of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, Heilongjiang, China.
Xiaobei ChenDepartment of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, Heilongjiang, China.
Xiaoyu WangDepartment of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, Heilongjiang, China.
Jingli ZhuDepartment of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, Heilongjiang, China.
Donggang LiInstitute of Quality Supervision and Detection, Harbin, Heilongjiang, China.
Junwei LiInstitute of Quality Supervision and Detection, Harbin, Heilongjiang, China.
Decai WangDepartment of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, Heilongjiang, China.
Harbin Medical University · CNXinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The exact cause of Alzheimer's disease (AD) and the role of metals in its etiology remain unclear. We have used an analytical approach, based on inductively coupled plasma mass spectrometry coupled with multivariate statistical analysis, to study the profiles of a wide range of metals in AD patients and healthy controls. AD cannot be cured and the lack of sensitive biomarkers that can be used in the early stages of the disease may contribute to this treatment failure. In the present study, we measured plasma levels of amyloid-β1-42(0.142±0.029μg/L)and furin(2.292±1.54μg/L), together with those of the metalloproteinases, insulin-degrading enzyme(1.459±1.14μg/L) and neprilysin(0.073±0.015μg/L), in order to develop biomarkers for AD. Partial least squares discriminant analysis models were used to refine intergroup differences and we discovered that four metals(Mn, Al, Li, Cu) in peripheral blood were strongly associated with AD. Aberration in homeostasis of these metals may alter levels of proteinases, such as furin, which are associated with neurodegeneration in AD and can be a used as plasma-based biomarkers.

Indexed as

AgedAlzheimer DiseaseBiomarkersEarly DiagnosisFemaleHumansMaleMetalsMultivariate AnalysisROC CurveBiomarkersMetals

Identifiers

PMID28719622
PMCPMC5515399
OpenAlexW2738790986

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.