Evidence map›Paper›PMID 38948080›Full record

ArticleFrontiers in molecular biosciences2024

Mass spectrometry-based proteomic profiling of extracellular vesicle proteins in diabetic and non-diabetic ischemic stroke patients: a case-control study.

Shahnaz Qadri, Muhamad U Sohail, Naveed Akhtar, Ghulam Jeelani Pir, Ghada Yousif, Sajitha V Pananchikkal, Muna Al-Noubi, Sunkyu Choi, Ashfaq Shuaib, Yousef Haik and 2 more

Abstract read
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Article in Frontiers in molecular biosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

12 authors.

Shahnaz Qadri *Department of Pharmaceutical Sciences, Irma Lerma Rangel School of Pharmacy, Texas A&M University, Kingsville, TX, United States.
Muhamad U Sohail *Proteomics Core, Weill Cornell Medicine, Doha, Qatar.
Naveed AkhtarThe Neuroscience Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar.
Ghulam Jeelani PirThe Neuroscience Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar.
Ghada YousifCollege of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar.
Sajitha V PananchikkalThe Neuroscience Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar.
Muna Al-NoubiProteomics Core, Weill Cornell Medicine, Doha, Qatar.
Sunkyu ChoiProteomics Core, Weill Cornell Medicine, Doha, Qatar.
Ashfaq ShuaibDepartment of Medicine, University of Alberta, Edmonton, AB, Canada.
Yousef HaikDepartment of Mechanical and Nuclear Engineering, University of Sharjah, Sharjah, United Arab Emirates.
Aijaz ParrayThe Neuroscience Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar.
Frank SchmidtProteomics Core, Weill Cornell Medicine, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute ischemic stroke is the most common cause of neurologic dysfunction caused by focal brain ischemia and tissue injury. Diabetes is a major risk factor of stroke, exacerbating disease management and prognosis. Therefore, discovering new diagnostic markers and therapeutic targets is critical for stroke prevention and treatment. Extracellular vesicles (EVs), with their distinctive properties, have emerged as promising candidates for biomarker discovery and therapeutic application. This case-control study utilized mass spectrometry-based proteomics to compare EVs from non-diabetic stroke (nDS = 14), diabetic stroke (DS = 13), and healthy control (HC = 12) subjects. Among 1288 identified proteins, 387 were statistically compared. Statistical comparisons using a general linear model (log2 foldchange ≥0.58 and FDR-p≤0.05) were performed for nDS vs HC, DS vs HC, and DS vs nDS. DS vs HC and DS vs nDS comparisons produced 123 and 149 differentially expressed proteins, respectively. Fibrinogen gamma chain (FIBG), Fibrinogen beta chain (FIBB), Tetratricopeptide repeat protein 16 (TTC16), Proline rich 14-like (PR14L), Inhibitor of nuclear factor kappa-B kinase subunit epsilon (IKKE), Biorientation of chromosomes in cell division protein 1-like 1 (BD1L1), and protein PR14L exhibited significant differences in the DS group. The pathway analysis revealed that the complement system pathways were activated, and blood coagulation and neuroprotection were inhibited in the DS group (z-score ≥2;

Indexed as

blood coagulationcomplement systemdiabetesexosomesextracellular vesicles (EVs)mass spectrometrystroketissue injury

Identifiers

PMID38948080
PMCPMC11211575

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