Blood‐based protein biomarkers for stroke differentiation: A systematic review

Misra, Shubham; Kumar, Amit; Kumar, Pradeep; Yadav, Arun Kumar; Mohania, Dheeraj; Pandit, Awadh Kishor; Vibha, Deepti

doi:10.1002/prca.201700007

Cited by 50 publications

(44 citation statements)

References 31 publications

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“…However, the applicability of this to the pre-hospital setting is currently unconfirmed. There are many other candidate stroke diagnostic biomarkers [55][56][57][58][59][60][61][62][63][64][65]. Inflammatory and anti-inflammatory cytokines may have utility in diagnosing ischaemia [62][63][64][65], but may not be useful in the hyper-acute phase due to their late temporality after stroke onset [63][64][65][66][67][68].…”

Section: Discussionmentioning

confidence: 99%

“…Inflammatory and anti-inflammatory cytokines may have utility in diagnosing ischaemia [62][63][64][65], but may not be useful in the hyper-acute phase due to their late temporality after stroke onset [63][64][65][66][67][68]. Validation is challenging due to the various clinical subgroups within the suspected stroke population, wide ranges for normal values and latency of some of these biomarkers, which would also limit their application in hyper-acute diagnoses [57][58][59][60][61]69]. As isolated biomarkers do not appear to have adequate accuracy for a definitive diagnosis, some evidence suggest a combination of biomarkers, reflecting various stroke-related biological processes, may be optimal [59,[70][71][72][73].…”

Section: Discussionmentioning

confidence: 99%

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A scoping review of pre-hospital technology to assist ambulance personnel with patient diagnosis or stratification during the emergency assessment of suspected stroke

et al. 2020

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Background: Pre-hospital identification of key subgroups within the suspected stroke population could reduce delays to emergency treatment. We aimed to identify and describe technology with existing proof of concept for diagnosis or stratification of patients in the pre-hospital setting. Methods: A systematic electronic search of published literature (from 01/01/2000 to 06/06/2019) was conducted in five bibliographic databases. Two reviewers independently assessed eligibility of studies or study protocols describing diagnostic/stratification tests (portable imaging/biomarkers) or technology facilitating diagnosis/ stratification (telemedicine) used by ambulance personnel during the assessment of suspected stroke. Eligible descriptions required use of tests or technology during the actual assessment of suspected stroke to provide information directly to ambulance personnel in the pre-hospital setting. Due to study, intervention and setting heterogeneity there was no attempt at meta-analysis.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A scoping review of pre-hospital technology to assist ambulance personnel with patient diagnosis or stratification during the emergency assessment of suspected stroke

et al. 2020

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“…Stroke occurs when the blood supply to a part of the brain is blocked (ischemic stroke; IS) or when a blood vessel in the brain bursts (haemorrhagic stroke; HS) (figure 3.). In western countries, IS accounts for 87% of total stroke type while the rest 13% is subjected to HS [131].…”

Section: Ischemic Strokementioning

confidence: 99%

Correlations between serum and CSF pNfH levels in ALS, FTD and controls: a comparison of three analytical approaches

Wilke

Pujol-Calderón

Barro

et al. 2019

Clinical Chemistry and Laboratory Medicine (CCLM)

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Background Phosphorylated neurofilament heavy (pNfH), a neuronal cytoskeleton protein, might provide a promising blood biomarker of neuronal damage in neurodegenerative diseases (NDDs). The best analytical approaches to measure pNfH levels and whether serum levels correlate with cerebrospinal fluid (CSF) levels in NDDs remain to be determined. Methods We here compared analytical sensitivity and reliability of three novel analytical approaches (homebrew Simoa, commercial Simoa and ELISA) for quantifying pNfH in both CSF and serum in samples of amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD) and control subjects. Results While all three assays showed highly correlated CSF measurements, Simoa assays also yielded high between-assay correlations for serum measurements (ϱ = 0.95). Serum levels also correlated strongly with CSF levels for Simoa-based measurements (both ϱ = 0.62). All three assays allowed distinguishing ALS from controls by increased CSF pNfH levels, and Simoa assays also by increased serum pNfH levels. pNfH levels were also increased in FTD. Conclusions pNfH concentrations in CSF and, if measured by Simoa assays, in blood might provide a sensitive and reliable biomarker of neuronal damage, with good between-assay correlations. Serum pNfH levels measured by Simoa assays closely reflect CSF levels, rendering serum pNfH an easily accessible blood biomarker of neuronal damage in NDDs.

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“…However, a lack of biomarkers with sufficient bioinformatics prediction hinders the clinical prognosis (Muñoz et al, 2018). Moreover, these studies merely focus on peripheral blood-based biomarkers, which provide little help for discovering novel therapeutic targets and elucidating sophisticated molecular mechanisms in brain (Rai et al, 2002;Laskowitz et al, 2009;Devaux, 2017;Misra et al, 2017). IS induces remarkable cellular and physiological changes within cerebral infarction and thus causes neurological disorders.…”

Section: Introductionmentioning

confidence: 99%

Proteomics Analysis of Brain Tissue in a Rat Model of Ischemic Stroke in the Acute Phase

Zheng

Zhou

Zeng

et al. 2020

Front. Mol. Neurosci.

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Background: Stroke is a leading health issue, with high morbidity and mortality rates worldwide. Of all strokes, approximately 80% of cases are ischemic stroke (IS). However, the underlying mechanisms of the occurrence of acute IS remain poorly understood because of heterogeneous and multiple factors. More potential biomarkers are urgently needed to reveal the deeper pathogenesis of IS. Methods: We identified potential biomarkers in rat brain tissues of IS using an iTRAQ labeling approach coupled with LC-MS/MS. Furthermore, bioinformatrics analyses including GO, KEGG, DAVID, and Cytoscape were used to present proteomic profiles and to explore the disease mechanisms. Additionally, Western blotting for target proteins was conducted for further verification. Results: We identified 4,578 proteins using the iTRAQ-based proteomics method. Of these proteins, 282 differentiated proteins, comprising 73 upregulated and 209 downregulated proteins, were observed. Further bioinformatics analysis suggested that the candidate proteins were mainly involved in energy liberation, intracellular protein transport, and synaptic plasticity regulation during the acute period. KEGG pathway enrichment analysis indicated a series of representative pathological pathways, including energy metabolite, long-term potentiation (LTP), and neurodegenerative disease-related pathways. Moreover, Western blotting confirmed the associated candidate proteins, which refer to oxidative responses and synaptic plasticity. Conclusions: Our findings highlight the identification of candidate protein biomarkers and provide insight into the biological processes involved in acute IS.

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Blood‐based protein biomarkers for stroke differentiation: A systematic review

Cited by 50 publications

References 31 publications

A scoping review of pre-hospital technology to assist ambulance personnel with patient diagnosis or stratification during the emergency assessment of suspected stroke

A scoping review of pre-hospital technology to assist ambulance personnel with patient diagnosis or stratification during the emergency assessment of suspected stroke

Correlations between serum and CSF pNfH levels in ALS, FTD and controls: a comparison of three analytical approaches

Proteomics Analysis of Brain Tissue in a Rat Model of Ischemic Stroke in the Acute Phase

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