Monocyte Transmodulation: The Next Novel Therapeutic Approach in Overcoming Ischemic Stroke?

Park, Joohyun; Chang, Ji Young; Kim, Jong Youl; Lee, Jong Eun

doi:10.3389/fneur.2020.578003

Cited by 19 publications

(27 citation statements)

References 182 publications

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“… 25 The above mechanisms explain why currently developed biological markers are based on various inflammatory parameters associated with stroke, such as neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR). 26 Studies have shown a positive correlation between NLR and the risk of death at three months in stroke patients; 27 an increase in PLR was predictive of the occurrence of post-stroke depression; 28 a low LMR was independently related to a higher risk of hemorrhagic transformation in stroke patients 29 and higher RDW could independently predict adverse outcomes in stroke patients. 30 Due to the simple structure, single indicators of inflammation are not sufficient to present the severity of inflammation.…”

Section: Discussionmentioning

confidence: 99%

The Predictive Role of Systemic Inflammation Response Index (SIRI) in the Prognosis of Stroke Patients

Zhang¹,

Xing²,

Zhou³

et al. 2021

CIA

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Purpose Stroke is a disease associated with high mortality. Many inflammatory indicators such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR) and red blood cell distribution width (RDW) have been documented to predict stroke prognosis, their predictive power is limited. A novel inflammatory indicator called systemic inflammatory response index (SIRI) has been advocated to have an essential role in the prognostic assessment of cancer and infectious diseases. In this study, we attempted to assess the prognosis of stroke by SIRI. Moreover, we compared SIRI with other clinical parameters, including NLR, PLR, LMR and RDW. Methods This was a retrospective cohort study. We obtained data of 2450 stroke patients from the Multiparametric Intelligent Monitoring in Intensive Care III database. We used the Cox proportional hazards models to evaluate the relationship between SIRI and all-cause mortality and sepsis. Receiver operating curve (ROC) analysis was used to assess the predictive power of SIRI compared to NLR, PLR, LMR and RDW for the prognosis of stroke. We collected data of 180 patients from the First Affiliated Hospital of Wenzhou Medical University, which used the Pearson’s correlation coefficient to assess the relationship between SIRI and the National Institute of Health stroke scale (NIHSS). Results After adjusting multiple covariates, we found that SIRI was associated with all-cause mortality in stroke patients. Rising SIRI accompanied by rising mortality. Besides, ROC analysis showed that the area under the curve of SIRI was significantly greater than for NLR, PLR, LMR and RDW. Besides, Pearson’s correlation test confirmed a significant positive correlation between SIRI and NIHSS. Conclusion Elevated SIRI was associated with higher risk of mortality and sepsis and higher stroke severity. Therefore, SIRI is a promising low-grade inflammatory factor for predicting stroke prognosis that outperformed NLR, PLR, LMR, and RDW in predictive power.

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Section: Discussionmentioning

confidence: 99%

The Predictive Role of Systemic Inflammation Response Index (SIRI) in the Prognosis of Stroke Patients

Zhang¹,

Xing²,

Zhou³

et al. 2021

CIA

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“…60 Monocytes in the blood may mediate neuroinflammatory responses that can strongly affect IS outcomes, and these cells may serve as the basis of new therapeutic approaches. 1 Neutrophils are also important targets of strategies to treat and even prevent IS. 61 The delayed arrival of T cells in stroke lesions means that they may be targeted to treat IS during a longer window than other therapies.…”

Section: Discussionmentioning

confidence: 99%

“…Ischemic stroke (IS) occurs when a thrombus or embolus obstructs a large cerebral artery, blocking blood flow to certain parts of the brain. 1 IS is a leading cause of death, accounting for over 6 million deaths annually worldwide. 2 Despite increasing understanding of IS pathophysiology and improvements in laboratory and clinical research, the diagnosis and treatment of IS remain challenging.…”

Section: Introductionmentioning

confidence: 99%

Identification of Dysregulated Mechanisms and Potential Biomarkers in Ischemic Stroke Onset

Feng¹,

Meng²,

Zhou³

et al. 2021

IJGM

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“…Monocytes are composed of different subsets: classical (pro-inflammatory CD14 ++ CD16 − ), intermediate (CD14 ++ CD16 + ), and nonclassical (anti-inflammatory CD14 + CD16 ++ ) [4]. In addition, monocytes and neutrophils undergo polarization after IS: activated M1 monocytes or monocyte-derived macrophages and N1 neutrophils that are related to the inflammatory response can polarize to M2 or N2 phenotypes that are associated with the resolution and regenerative phase [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Monocyte, Neutrophil and Whole Blood Transcriptome Dynamics Following Ischemic Stroke

Carmona-Mora

Knepp

Jickling

et al. 2022

Preprint

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BackgroundAfter ischemic stroke (IS), peripheral leukocytes infiltrate the damaged region and modulate the response to injury. Peripheral blood cells display distinctive gene expression signatures post IS and these transcriptional programs reflect changes in immune responses to IS. Dissecting the temporal dynamics of gene expression after IS improves our understanding of immune and clotting responses at the molecular and cellular level that are involved in acute brain injury and may assist with time-targeted, cell-specific therapy.MethodsThe transcriptomic profiles from peripheral monocytes, neutrophils, and whole blood from 38 ischemic stroke patients and 18 controls were analyzed with RNAseq as a function of time and etiology after stroke. Differential expression analyses were performed at 0-24 h, 24-48 h, and >48 h following stroke.ResultsUnique patterns of temporal gene expression and pathways were distinguished for monocytes, neutrophils and whole blood with enrichment of interleukin signaling pathways for different timepoints and stroke etiologies. Compared to control subjects, gene expression was generally up-regulated in neutrophils and generally down- regulated in monocytes over all times for cardioembolic, large vessel and small vessel strokes. Self-Organizing Maps identified gene clusters with similar trajectories of gene expression over time for different stroke causes and sample types. Weighted Gene Co- expression Network Analyses identified modules of co-expressed genes that significantly varied with time after stroke and included hub genes of immunoglobulin genes in whole blood.ConclusionsAltogether, the identified genes and pathways are critical for understanding how the immune and clotting systems change over time after stroke. This study identifies potential time- and cell-specific biomarkers and treatment targets.

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Monocyte Transmodulation: The Next Novel Therapeutic Approach in Overcoming Ischemic Stroke?

Cited by 19 publications

References 182 publications

The Predictive Role of Systemic Inflammation Response Index (SIRI) in the Prognosis of Stroke Patients

The Predictive Role of Systemic Inflammation Response Index (SIRI) in the Prognosis of Stroke Patients

Identification of Dysregulated Mechanisms and Potential Biomarkers in Ischemic Stroke Onset

Monocyte, Neutrophil and Whole Blood Transcriptome Dynamics Following Ischemic Stroke

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