Evidence map›Paper›PMID 38883967›Full record

ArticleMediators of inflammation2024

What Are the Reliable Plasma Biomarkers for Mild Cognitive Impairment? A Clinical 4D Proteomics Study and Validation.

Zhitao Hou, Ailin Sun, Yan Li, Xiaochen Song, Shu Liu, Xinying Hu, Yihan Luan, Huibo Guan, Changyuan He, Yuefeng Sun and 1 more

Abstract read
In one paragraph

Article in Mediators of inflammation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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.

Zhitao HouCollege of Basic Medical and Sciences Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang, China.ORCID https://orcid.org/0000-0002-4559-1938
Ailin SunCollege of Basic Medical and Sciences Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang, China.ORCID https://orcid.org/0000-0002-3282-8035
Yan LiThe First Hospital Affiliated with Heilongjiang University of Chinese Medicine, Harbin 150010, Heilongjiang, China.
Xiaochen SongCollege of Basic Medical and Sciences Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang, China.
Shu LiuCollege of Basic Medical and Sciences Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang, China.
Xinying HuCollege of Basic Medical and Sciences Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang, China.
Yihan LuanCollege of Basic Medical and Sciences Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang, China.
Huibo GuanCollege of Basic Medical and Sciences Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang, China.
Changyuan HeCollege of Basic Medical and Sciences Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang, China.
Yuefeng SunCollege of Basic Medical and Sciences Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang, China.ORCID https://orcid.org/0000-0003-1214-6245
Jing ChenCollege of Basic Medical and Sciences Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang, China.ORCID https://orcid.org/0000-0001-9409-157X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: At present, Alzheimer's disease (AD) lacks effective treatment means, and early diagnosis and intervention are the keys to treatment. Therefore, for mild cognitive impairment (MCI) and AD patients, blood sample analysis using the 4D nonstandard (label-free) proteomic in-depth quantitative analysis, looking for specific protein marker expression differences, is important. These marker levels change as AD progresses, and the analysis of these biomarkers changes with this method, which has the potential to show the degree of disease progression and can be used for the diagnosis and preventive treatment of MCI and AD. Materials and Methods: Patients were recruited according to the inclusion and exclusion criteria and divided into three groups according to scale scores. Elderly patients diagnosed with AD were selected as the AD group ( Results: Six specific blood markers, namely, APOE, MMP9, UBR5, PLA2G7, STAT5B, and S100A8, were detected by 4D label-free proteomic quantitative analysis. These markers showed a statistically significant upregulation trend in the MCI and AD groups compared with the normal cognition control group ( Conclusion: The plasma levels of APOE, MMP9, UBR5, PLA2G7, STAT5B, and S100A8 in cognitively healthy elderly patients and patients with MCI and AD were significantly different and, more importantly, showed a trend of increasing expression. These results indicate that these six human plasma markers have important diagnostic and therapeutic potential in the identification of cognitive impairment and have value for in-depth research and clinical application.

Indexed as

Alzheimer DiseaseBiomarkersCognitive DysfunctionProteomicsAgedAged, 80 and overEnzyme-Linked Immunosorbent AssayFemaleHumansMaleMiddle AgedBiomarkers

Identifiers

PMID38883967
PMCPMC11178428

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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.