Intravenous thrombolytic treatment and endovascular thrombectomy for ischaemic wake-up stroke

Sex differences in Wake-Up Stroke patients characteristics and outcomes

OBJECTIVES

Wake-up Stroke (WUS) accounts for about 25% of all ischemic strokes. Differences according to sex in the WUS subgroup has been poorly investigated so far, so we aimed to assess these differences by differentiating the enrolled population based on treatment administered.

MATERIALS & METHODS

We retrospectively analysed clinical and imaging data of WUS patients admitted to our hospital between November 2013 and December 2018 dividing them in two groups: rTPA-treated and non-rTPA treated group. To point out outcome differences we evaluated: NIHSS at 7 days or at discharge, mRS at discharge and ΔNIHSS.

RESULTS

We enrolled 149 WUS patients, 74 rTPA treated and 75 non-rTPA treated. Among rTPA treated patients, time from last known well (LKW) to Emergency Department (ED) admission was longer in females than males (610 vs 454 min), while females had a higher ΔNIHSS than males (5 vs 3). Finally, among non-rTPA treated patients, females were older than males (85 vs 79 years), had a higher pre-admission mRS (although very low in both cases), had a longer length of stay (17 vs 13 days) and shown a higher NIHSS at discharge (4 vs 2) compared to males.

CONCLUSIONS

Females not receiving thrombolytic treatment had worse functional outcome than males, showing a higher NIHSS at discharge but, in contrast, when treated with rTPA they showed better neurological recovery as measured by a greater ΔNIHSS. We emphasize the importance of a prompt recognition of WUS in females since they seem to benefit more from rTPA treatment.

Diffusion-/perfusion-weighted imaging fusion to automatically identify stroke within 4.5 h

OBJECTIVES

We aimed to develop machine learning (ML) models based on diffusion- and perfusion-weighted imaging fusion (DP fusion) for identifying stroke within 4.5 h, to compare them with DWI- and/or PWI-based ML models, and to construct an automatic segmentation-classification model and compare with manual labeling methods.

METHODS

ML models were developed from multimodal MRI datasets of acute stroke patients within 24 h of clear symptom onset from two centers. The processes included manual segmentation, registration, DP fusion, feature extraction, and model establishment (logistic regression (LR) and support vector machine (SVM)). A segmentation-classification model (X-Net) was proposed for automatically identifying stroke within 4.5 h. The area under the receiver operating characteristic curve (AUC), sensitivity, Dice coefficients, decision curve analysis, and calibration curves were used to evaluate model performance.

RESULTS

A total of 418 patients (≤ 4.5 h: 214; > 4.5 h: 204) were evaluated. The DP fusion model achieved the highest AUC in identifying the onset time in the training (LR: 0.95; SVM: 0.92) and test sets (LR: 0.91; SVM: 0.90). The DP fusion-LR model displayed consistent positive and greater net benefits than other models across a broad range of risk thresholds. The calibration curve demonstrated the good calibration of the DP fusion-LR model (average absolute error: 0.049). The X-Net model obtained the highest Dice coefficients (DWI: 0.81; Tmax: 0.83) and achieved similar performance to manual labeling (AUC: 0.84).

CONCLUSIONS

The automatic segmentation-classification models based on DWI and PWI fusion images had high performance in identifying stroke within 4.5 h.

CLINICAL RELEVANCE STATEMENT

Perfusion-weighted imaging (PWI) fusion images had high performance in identifying stroke within 4.5 h. The automatic segmentation-classification models based on DWI and PWI fusion images could provide clinicians with decision-making guidance for acute stroke patients with unknown onset time.

KEY POINTS

• The diffusion/perfusion-weighted imaging fusion model had the best performance in identifying stroke within 4.5 h. • The X-Net model had the highest Dice and achieved performance close to manual labeling in segmenting lesions of acute stroke. • The automatic segmentation-classification model based on DP fusion images performed well in identifying stroke within 4.5 h.

Acute ischemic STROKE - from laboratory to the Patient's BED (STROKELABED): A translational approach to reperfusion injury. Study Protocol

Cerebral edema (CE) and hemorrhagic transformation (HT) are frequent and unpredictable events in patients with acute ischemic stroke (AIS), even when an effective vessel recanalization has been achieved. These complications, related to blood-brain barrier (BBB) disruption, remain difficult to prevent or treat and may offset the beneficial effect of recanalization, and lead to poor outcomes. The aim of this translational study is to evaluate the association of circulating and imaging biomarkers with subsequent CE and HT in stroke patients with the dual purpose of investigating possible predictors as well as molecular dynamics underpinning those events and functional outcomes. Concurrently, the preclinical study will develop a new mouse model of middle cerebral artery (MCA) occlusion and recanalization to explore BBB alterations and their potentially harmful effects on tissue. The clinical section of the study is based on a single-center observational design enrolling consecutive patients with AIS in the anterior circulation territory, treated with recanalization therapies from October 1, 2015 to May 31, 2020. The study will employ an innovative evaluation of routine CT scans: in fact, we will assess and quantify the presence of CE and HT after stroke in CT scans at 24 h, through the quantification of anatomical distortion (AD), a measure of CE and HT. We will investigate the relationship of AD and several blood biomarkers of inflammation and extracellular matrix, with functional outcomes at 3 months. In parallel, we will employ a newly developed mouse model of stroke and recanalization, to investigate the emergence of BBB changes 24 h after the stroke onset. The close interaction between clinical and preclinical research can enhance our understanding of findings from each branch of research, enabling a deeper interpretation of the underlying mechanisms of reperfusion injury following recanalization treatment for AIS.

Novel roles of PIWI proteins and PIWI-interacting RNAs in human health and diseases

Non-coding RNA has aroused great research interest recently, they play a wide range of biological functions, such as regulating cell cycle, cell proliferation, and intracellular substance metabolism. Piwi-interacting RNAs (piRNAs) are emerging small non-coding RNAs that are 24-31 nucleotides in length. Previous studies on piRNAs were mainly limited to evaluating the binding to the PIWI protein family to play the biological role. However, recent studies have shed more lights on piRNA functions; aberrant piRNAs play unique roles in many human diseases, including diverse lethal cancers. Therefore, understanding the mechanism of piRNAs expression and the specific functional roles of piRNAs in human diseases is crucial for developing its clinical applications. Presently, research on piRNAs mainly focuses on their cancer-specific functions but lacks investigation of their expressions and epigenetic modifications. This review discusses piRNA's biogenesis and functional roles and the recent progress of functions of piRNA/PIWI protein complexes in human diseases. Video Abstract.

Adenosine receptor A1 enhanced mitochondrial biogenesis and exerted neuroprotection after cerebral ischemia through PGC-1α

Ischemic stroke is a common cause of morbidity and mortality worldwide. The current treatment fails to achieve satisfactory results, because interventional therapy as first-line treatment management has a strict time window. In recent years, a large number of studies have confirmed that adenosine, as an inhibitory neurotransmitter, has a protective effect on cerebral ischemic injury. Nevertheless, direct administration of adenosine has many side effects. Previous studies showed that adenosine exerted neuroprotective effects mainly through adenosine receptor A1 (A1 receptor). Therefore, further study on the mechanism of A 1 receptor induced neuroprotection may find new targets for stroke treament. Mitochondrial biogenesis (MB) is a therapeutic target for ischemic stroke, and the nuclear-encoded peroxisome proliferator-activated receptor-gamma coactivator 1α (PGC-1α) is a major regulator of MB. However, the influence of A1 receptor on MB and PGC-1α is unclear. In this study, using the middle cerebral artery occlusion (MCAO) model of mice, we evaluated the temporal and spatial effects of A1 receptor after ischemic stroke and verified the neuroprotection of A1 receptor. Neurological scores were used to assess functional changes in mice. At the same time, we observed the effect of activating A1 receptor on MB and PGC-1α, and the effect of knockdown PGC-1α on A1 receptor induced MB in vitro. WB and immunofluorescence were used to detect relevant indicators of MB. In addition, we downregulated PGC-1α in vivo to observe the effects on A1 receptor induced MB and neuroprotection. The findings indicated that A1 receptor was increased and mainly expressed on neurons in the penumbra, further activated A1 receptor after stroke had neuroprotection. In vitro, activation of A1 promotes MB and increases the expression level of PGC-1α, while downregulation of PGC-1α partially reverses the effect of A1 receptor after OGD/R. Down regulation of PGC-1α in the penumbra neurons can reverse the effects of activation of A1 receptor on MB and neuroprotection. Taken together, these findings indicated that A1receptor promotes MB and improves neurological function after ischemic stroke via PGC-1α.

Liver fibrosis-4 score predicts outcome of patients with ischemic stroke undergoing intravenous thrombolysis

Some evidence suggests a possible influence of liver disease on stroke prognosis. We investigated the association between fibrosis-4 (FIB-4) score, a marker of liver disease, and the 3-month outcome in patients with ischemic stroke undergoing intravenous thrombolysis. We also evaluated the rate of symptomatic intracranial hemorrhage after thrombolysis. In this prospective cohort study, we enrolled consecutive patients with ischemic stroke treated with thrombolysis who had a 3-month follow-up. The FIB-4 score was calculated and the validated cut-off values were used to indicate high/low risk of advanced liver fibrosis. The primary outcome was 3-month poor prognosis estimated as a modified Rankin scale score ≥3. Of the 264 included patients, 131 (49.62%) had a 3-month mRS ≥3, with a significantly higher FIB-4 score, compared to those with a mRS <3 score (_adjp <0.001). When adjusted for possible confounders by multivariate logistic regression, FIB-4 score remained a significant predictor of poor outcome (OR 1.894, p = 0.011), along with history of atrial fibrillation (OR 3.488, p = 0.017), admission NIHSS score (OR 1.305, p < 0.001), and low values of hemoglobin (OR 0.730, p < 0.001). Mechanical thrombectomy had a favorable effect on patients' outcome (OR 0.201, p = 0.005). The risk of poor 3-month outcome was significantly higher among the 32 patients (12.1%) with high risk of severe fibrosis (p = 0.007). FIB-4 score values were also related to symptomatic intracranial hemorrhage (p = 0.004), specifically among patients with high probability of advanced hepatic fibrosis (p = 0.037). FIB-4 score can be considered as a promising independent predictor of poor prognosis in patients with acute ischemic stroke undergoing intravenous thrombolysis.

A mechanistic review of pharmacological activities of homeopathic medicine licorice against neural diseases

The use of medicinal plants has grown in popularity in recent decades because, as natural ingredients, they have fewer adverse effects and are more effective than synthetic alternatives. As a small perennial herb, Glycyrrhiza glabra L. (Licorice) has been investigated for its therapeutic efficacy against neural disorders mainly ischemic stroke as well as the neurodegenerative diseases such as dementia and Alzheimer's disease, and Parkinson's disease which has been attributed to its HMGB inhibitory function, reactive oxygen scavenging and anti-inflammatory activity. The objective of current review is to review the evidence for the pharmacological effects of licorice and its vital active components on neurological disorders and the underlying signaling networks. We reviewed Papers published from 2000.1.1 up to 2 January 2023 in web of science, Google Scholar and PubMed data bases using key words including "Licorice," "Glycyrrhiza glabra L.," "Glycyrrhizic acid," "brain," "neurodegenerative disease," "Alzheimer's," and "Parkinson" were used to search in title/abstracts. Licorice extract and/or its active components can be used safely in therapeutic doses for optimizing the management of a multiple neurodegenerative disorders, and hampering the extent of neural tissue injury and neurologic deficits subsequent to cerebrovascular accidents.