Evidence map›Paper›PMID 36237606›Full record

ArticleFrontiers in neurology2022

Blood-based protein biomarkers for the diagnosis of acute stroke: A discovery-based SWATH-MS proteomic approach.

Shubham Misra, Praveen Singh, Manabesh Nath, Divya Bhalla, Shantanu Sengupta, Amit Kumar, Awadh K Pandit, Praveen Aggarwal, Achal K Srivastava, Dheeraj Mohania and 2 more

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In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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  5. CD4International journal of molecular sciences · 2025
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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.

Shubham MisraDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.
Praveen SinghCSIR-Institute of Genomics and Integrative Biology, New Delhi, India.
Manabesh NathDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.
Divya BhallaDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.
Shantanu SenguptaCSIR-Institute of Genomics and Integrative Biology, New Delhi, India.
Amit KumarDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.
Awadh K PanditDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.
Praveen AggarwalDepartment of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, India.
Achal K SrivastavaDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.
Dheeraj MohaniaDr. R.P. Centre, All India Institute of Medical Sciences, New Delhi, India.
Kameshwar PrasadDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.
Deepti VibhaDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.
All India Institute of Medical Sciences · INInstitute of Genomics and Integrative Biology · INRajendra Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purposes: Recent developments in high-throughput proteomic approach have shown the potential to discover biomarkers for diagnosing acute stroke and to elucidate the pathomechanisms specific to different stroke subtypes. We aimed to determine blood-based protein biomarkers to diagnose total stroke (IS+ICH) from healthy controls, ischemic stroke (IS) from healthy controls, and intracerebral hemorrhage (ICH) from healthy control subjects within 24 h using a discovery-based SWATH-MS proteomic approach. Methods: In this discovery phase study, serum samples were collected within 24 h from acute stroke (IS & ICH) patients and healthy controls and were subjected to SWATH-MS-based untargeted proteomics. For protein identification, a high-pH fractionated peptide library for human serum proteins (obtained from SCIEX) comprising of 465 proteins was used. Significantly differentially expressed (SDE) proteins were selected using the following criteria: >1.5-fold change for upregulated, < 0.67 for downregulated, Results: Our study included 40 stroke cases (20 IS, 20 ICH) within 24 h and 40 age-, sex-, hypertension-, and diabetes-matched healthy controls. We quantified 375 proteins between the stroke cases and control groups through SWATH-MS analysis. We observed 31 SDE proteins between total stroke and controls, 16 SDE proteins between IS and controls, and 41 SDE proteins between ICH and controls within 24 h. Four proteins [ceruloplasmin, alpha-1-antitrypsin (SERPINA1), von Willebrand factor (vWF), and coagulation factor XIII B chain (F13B)] commonly differentiated total stroke, IS, and ICH from healthy control subjects. The most common significant pathways in stroke cases involved complement and coagulation cascades, platelet degranulation, immune-related processes, acute phase response, lipid-related processes, and pathways related to extracellular space and matrix. Conclusion: Our discovery phase study identified potential protein biomarker candidates for the diagnosis of acute stroke and highlighted significant pathways associated with different stroke subtypes. These potential biomarker candidates warrant further validation in future studies with a large cohort of stroke patients to investigate their diagnostic performance.

Indexed as

blood biomarkersintracerebral hemorrhageischemic strokeproteomicsstrokeSWATH-MS

Identifiers

PMID36237606
PMCPMC9552908
OpenAlexW4297323516

What OpenQuestion holds

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Registered trials

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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.