Evidence map›Paper›PMID 38225453›Full record

ArticleCommunications biology2024

Deep proteomic analysis of obstetric antiphospholipid syndrome by DIA-MS of extracellular vesicle enriched fractions.

Wenmin Tian, Dongxue Shi, Yinmei Zhang, Hongli Wang, Haohao Tang, Zhongyu Han, Catherine C L Wong, Liyan Cui, Jiajia Zheng, Yang Chen

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

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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.

Wenmin Tian *Department of Biochemistry and Biophysics, Center for Precision Medicine Multi-Omics Research, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China.
Dongxue Shi *Department of Biochemistry and Biophysics, Center for Precision Medicine Multi-Omics Research, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China.
Yinmei Zhang *Department of Laboratory Medicine, Peking University Third Hospital, Beijing, P R China.
Hongli WangDepartment of Biochemistry and Biophysics, Center for Precision Medicine Multi-Omics Research, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China.ORCID 0009-0000-4755-624X
Haohao TangDepartment of Biochemistry and Biophysics, Center for Precision Medicine Multi-Omics Research, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China.
Zhongyu HanDepartment of Laboratory Medicine, Peking University Third Hospital, Beijing, P R China.
Catherine C L WongDepartment of Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, 100730, Beijing, China.ORCID 0000-0002-6855-2798
Liyan CuiDepartment of Laboratory Medicine, Peking University Third Hospital, Beijing, P R China. cliyan@163.com.ORCID 0000-0003-2348-9577
Jiajia ZhengDepartment of Laboratory Medicine, Peking University Third Hospital, Beijing, P R China. gingkoblue@163.com.ORCID 0000-0003-3939-9875
Yang ChenDepartment of Biochemistry and Biophysics, Center for Precision Medicine Multi-Omics Research, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China. chenyang1816185048@bjmu.edu.cn.ORCID 0000-0002-4841-9412
Peking University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2022ZD0212900Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2023YFF0613402
6 · The paper itself

Abstract

Proteins in the plasma/serum mirror an individual's physiology. Circulating extracellular vesicles (EVs) proteins constitute a large portion of the plasma/serum proteome. Thus, deep and unbiased proteomic analysis of circulating plasma/serum extracellular vesicles holds promise for discovering disease biomarkers as well as revealing disease mechanisms. We established a workflow for simple, deep, and reproducible proteome analysis of both serum large and small EVs enriched fractions by ultracentrifugation plus 4D-data-independent acquisition mass spectrometry (4D-DIA-MS). In our cohort study of obstetric antiphospholipid syndrome (OAPS), 4270 and 3328 proteins were identified from large and small EVs enriched fractions respectively. Both of them revealed known or new pathways related to OAPS. Increased levels of von Willebrand factor (VWF) and insulin receptor (INSR) were identified as candidate biomarkers, which shed light on hypercoagulability and abnormal insulin signaling in disease progression. Our workflow will significantly promote our understanding of plasma/serum-based disease mechanisms and generate new biomarkers.

Indexed as

Antiphospholipid SyndromeExtracellular VesiclesBiomarkersCohort StudiesFemaleHumansPregnancyProteomeProteomicsBiomarkersProteome

Identifiers

PMID38225453
PMCPMC10789860
OpenAlexW4390879094

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.