Evidence map›Paper›PMID 33629272›Full record

ArticleMolecular neurobiology2021

Profiling of Serum Exosome MiRNA Reveals the Potential of a MiRNA Panel as Diagnostic Biomarker for Alzheimer's Disease.

Zhiwu Dong, Hongjun Gu, Qiang Guo, Shuang Liang, Jian Xue, Feng Yao, Xianglu Liu, Feifei Li, Huiling Liu, Li Sun and 1 more

Abstract read
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In one paragraph

Article in Molecular neurobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 5 pooled it
6.3field-weighted citation impact, top 2% 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

71 citing papers in PubMed, 5 syntheses or guidelines pooled it, 100 citations in OpenAlex.

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11 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Zhiwu DongDepartment of Laboratory Medicine, Jinshan Branch of Shanghai Sixth People's Hospital Affiliated to Shanghai Jiaotong University, 147 Jiankang Road, Jinshan District, Shanghai, 201599, People's Republic of China. dongzw312@163.com.ORCID http://orcid.org/0000-0002-3792-9556
Hongjun GuShanghai Jinshan Zhongren Aged Care Hospital, Shanghai, 201501, China.
Qiang GuoDepartment of Ultrasound Medicine, Jinshan Branch of Shanghai Sixth People's Hospital Affiliated to Shanghai Jiaotong University, Shanghai, 201599, China.
Shuang LiangDepartment of Laboratory Medicine, Jinshan Branch of Shanghai Sixth People's Hospital Affiliated to Shanghai Jiaotong University, 147 Jiankang Road, Jinshan District, Shanghai, 201599, People's Republic of China.
Jian XueShanghai Jinshan Zhongren Aged Care Hospital, Shanghai, 201501, China.
Feng YaoShanghai Jinshan Zhongren Aged Care Hospital, Shanghai, 201501, China.
Xianglu LiuDepartment of Laboratory Medicine, Jinshan Branch of Shanghai Sixth People's Hospital Affiliated to Shanghai Jiaotong University, 147 Jiankang Road, Jinshan District, Shanghai, 201599, People's Republic of China.
Feifei LiDepartment of Laboratory Medicine, Jinshan Branch of Shanghai Sixth People's Hospital Affiliated to Shanghai Jiaotong University, 147 Jiankang Road, Jinshan District, Shanghai, 201599, People's Republic of China.
Huiling LiuDepartment of Laboratory Medicine, Jinshan Branch of Shanghai Sixth People's Hospital Affiliated to Shanghai Jiaotong University, 147 Jiankang Road, Jinshan District, Shanghai, 201599, People's Republic of China.
Li SunDepartment of Laboratory Medicine, Jinshan Branch of Shanghai Sixth People's Hospital Affiliated to Shanghai Jiaotong University, 147 Jiankang Road, Jinshan District, Shanghai, 201599, People's Republic of China.
Kewen ZhaoDepartment of Pathophysiology, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, People's Republic of China.
Shanghai Sixth People's Hospital · CNShanghai Jiao Tong University · CN

Funding

Science and Technology Commission of Shanghai Municipality (CN) 19ZR1439300Shanghai Municipal Health Bureau (CN) 201640131
6 · The paper itself

Abstract

Alzheimer's disease (AD) is the most common neurodegenerative disease in the older adults. Although much effort has been made in the analyses of diagnostic biomarkers, such as amyloid-β, tau, and neurofilament light chain, identifying peripheral blood-based biomarkers is in extremely urgent need for their minimal invasiveness and more convenience. Here we characterized the miRNA profile by RNA sequencing in human serum exosomes from AD patients and healthy controls (HC) to investigate its potential for AD diagnosis. Subsequently, Gene Ontology analysis and pathway analysis were performed for the targeted genes from the differentially expressed miRNAs. These basic functions were differentially enriched, including cell adhesion, regulation of transcription, and the ubiquitin system. Functional network analysis highlighted the pathways of proteoglycans in cancer, viral carcinogenesis, signaling pathways regulating pluripotency of stem cells, and cellular senescence in AD. A total of 24 miRNAs showed significantly differential expression between AD and HC with more than ± 2.0-fold change at p value < 0.05 and at least 50 reads for each sample. Logistic regression analysis established a model for AD prediction by serum exosomal miR-30b-5p, miR-22-3p, and miR-378a-3p. Sequencing results were validated using quantitative reverse transcription PCR. The data showed that miR-30b-5p, miR-22-3p, and miR-378a-3p were significantly deregulated in AD, with area under the curve (AUC) of 0.668, 0.637, and 0.718, respectively. The combination of the three miRs gained a better diagnostic capability with AUC of 0.880. This finding revealed a miR panel as potential biomarker in the peripheral blood to distinguish AD from HC.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseBiomarkersExosomesFemaleGene Expression ProfilingHumansMaleMicroRNAsSequence Analysis, RNABiomarkersMicroRNAsAlzheimer’s diseaseGene Ontology analysisMicroRNAPathway analysisRNA sequencing

Identifiers

PMID33629272
OpenAlexW3133275787

What OpenQuestion holds

Textmetadata
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.