Evidence map›Paper›PMID 33718349›Full record

ArticleFrontiers in cell and developmental biology2021

High-Throughput Metabolomics for Discovering Potential Biomarkers and Identifying Metabolic Mechanisms in Aging and Alzheimer's Disease.

Kun Xie, Qi Qin, Zhiping Long, Yihui Yang, Chenghai Peng, Chunyang Xi, Liangliang Li, Zhen Wu, Volontovich Daria, Yashuang Zhao and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

28 citing papers in PubMed, 37 citations in OpenAlex.

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  8. Personalized prevention of neurodegenerative diseases: scoping review and evidence gap map.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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  10. BMJ open · 2024
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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 at 3 institutions in 1 country.

Kun XieDepartment of Epidemiology, School of Public Health, Harbin Medical University, Harbin, China.
Qi QinDepartment of Neurology, Innovation Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Xuan Wu Hospital, Capital Medical University, Beijing, China.
Zhiping LongDepartment of Epidemiology, School of Public Health, Harbin Medical University, Harbin, China.
Yihui YangDepartment of Epidemiology, School of Public Health, Harbin Medical University, Harbin, China.
Chenghai PengThe Forth Affiliated Hospital of Harbin Medical University, Harbin, China.
Chunyang XiDepartment of Orthopedic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Liangliang LiDepartment of Epidemiology, School of Public Health, Harbin Medical University, Harbin, China.
Zhen WuDepartment of Epidemiology, School of Public Health, Harbin Medical University, Harbin, China.
Volontovich DariaDepartment of Epidemiology, School of Public Health, Harbin Medical University, Harbin, China.
Yashuang ZhaoDepartment of Epidemiology, School of Public Health, Harbin Medical University, Harbin, China.
Fan WangDepartment of Epidemiology, School of Public Health, Harbin Medical University, Harbin, China.
Maoqing WangNational Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China.
Harbin Medical University · CNCapital Medical University · CNSecond Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is an aging-related neurodegenerative disease. We aimed to investigate the metabolic mechanisms of aging and AD and to identify potential biomarkers for the early screening of AD in a natural aging population. To analyze the plasma metabolites related to aging, we conducted an untargeted metabolomics analysis using ultra-high-performance liquid chromatography/quadrupole time-of-flight mass spectrometry in a two-stage cross-sectional study. Spearman's correlation analysis and random forest were applied to model the relationship between age and each metabolite. Moreover, a systematic review of metabolomics studies of AD in the PubMed, Cochrane and Embase databases were searched to extract the differential metabolites and altered pathways from original studies. Pathway enrichment analysis was conducted using Mummichog. In total, 669 metabolites were significantly altered with aging, and 12 pathways were enriched and correlated with aging. Three pathways (purine metabolism, arginine and proline metabolism, and the TCA cycle) were shared between aging and AD. Arginine and proline metabolism play a key role in the progression from healthy to mild cognitive impairment and to AD in the natural aging population. Three metabolites, 16-a-hydroxypregnenolone, stearic acid and PC[16:0/22:5(4Z,7Z,10Z,13Z,16Z)] were finally proposed as potential markers of AD in the natural aging population. The underlying mechanism shared between aging and AD and the potential biomarkers for AD diagnosis were proposed based on multistep comparative analysis.

Indexed as

agingAlzheimer’s diseasemetabolic biomarkersmetabolomicsmild cognitive impairment

Identifiers

PMID33718349
PMCPMC7947003
OpenAlexW3133804546

What Socratic 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 Socratic graph.