Development and validation of a predictive model for severe white matter hyperintensity with obesity.

Purpose: The purpose of the present study was to identify predictors of severe white matter hyperintensity (WMH) with obesity (SWO), and to build a prediction model for screening obese people with severe WMH without Nuclear Magnetic Resonance Imaging (MRI) examination. Patients subjects and methods: From September 2020 to October 2021, 650 patients with WMH were recruited consecutively. The subjects were divided into two groups, SWO group and non-SWO group. Univariate and Logistic regression analysis were was applied to explore the potential predictors of SWO. The Youden index method was adopted to determine the best cut-off value in the establishment of the prediction model of SWO. Each parameter had two options, low and high. The score table of the prediction model and nomogram based on the logistic regression were constructed. Of the 650 subjects, 487 subjects (75%) were randomly assigned to the training group and 163 subjects (25%) to the validation group. By resampling the area under the curve (AUC) of the subject's operating characteristics and calibration curves 1,000 times, nomogram performance was verified. A decision curve analysis (DCA) was used to evaluate the nomogram's clinical usefulness. By resampling the area under the curve (AUC) of the subject's operating characteristics and calibration curves 1,000 times, nomogram performance was verified. A decision curve analysis (DCA) was used to evaluate the nomogram's clinical usefulness. Results: Logistic regression demonstrated that hypertension, uric acid (UA), complement 3 (C3) and Interleukin 8 (IL-8) were independent risk factors for SWO. Hypertension, UA, C3, IL-8, folic acid (FA), fasting C-peptide (FCP) and eosinophil could be used to predict the occurrence of SWO in the prediction models, with a good diagnostic performance, Areas Under Curves (AUC) of Total score was 0.823 (95% CI: 0.760-0.885, p < 0.001), sensitivity of 60.0%, specificity of 91.4%. In the development group, the nomogram's AUC (C statistic) was 0.829 (95% CI: 0.760-0.899), while in the validation group, it was 0.835 (95% CI: 0.696, 0.975). In both the development and validation groups, the calibration curves following 1,000 bootstraps showed a satisfactory fit between the observed and predicted probabilities. DCA showed that the nomogram had great clinical utility. Conclusion: Hypertension, UA, C3, IL-8, FA, FCP and eosinophil models had the potential to predict the incidence of SWO. When the total score of the model exceeded 9 points, the risk of SWO would increase significantly, and the nomogram enabled visualization of the patient's WMH risk. The application prospect of our models mainly lied in the convenient screening of SWO without MRI examination in order to detect SWO and control the WMH hazards early.

MicroRNA-140-5p exacerbates vascular cognitive impairment by inhibiting neurogenesis in the adult mouse hippocampus after global cerebral ischemia.

Vascular cognitive impairment (VCI) is the most common type of dementia after Alzheimer's disease (AD). Effective treatments for VCI are currently lacking. MicroRNA (miR)- 140-5p is associated with cerebral ischemia and poststroke depression, but its relationship with VCI remains unknown. A VCI model was established by bilateral common carotid artery occlusion (BCCAO) for 17 min in mice. Neurogenesis was evaluated by immunostaining for Nestin/bromodeoxyuridine (BrdU), NeuN/BrdU, and doublecortin (DCX)/BrdU. Neuroplasticity was assessed by quantifying synapsin-I and postsynaptic density protein 95 (PSD-95) protein levels. Predicted target genes were screened and verified using the dual luciferase reporter gene system. MiR-140-5p was upregulated in the hippocampus of the BCCAO mice 2 weeks following ischemia. Compared with control groups, the AAV-miR-140-5p group exhibited poorer cognitive performance alongside lower numbers of DCX/BrdU and NeuN/BrdU and less synapsin-I and PSD-95 in the dentate gyrus (P < 0.05). MiR-140-5p overexpression decreased the predicted target gene Prox1. Dual luciferase reporter system confirmed that Prox1 was a direct target site for miR-140-5p. In conclusion, our results suggest that miR-140-5p inhibits neurogenesis and neuroplasticity via downregulation of Prox1 and aggravates VCI. Our findings highlight that miR-140-5p is involved in the pathological process of VCI and provides information for the development of new treatments, which may need further inhibition tests to verify.

Periventricular White Matter Hyperintensity in Males is Associated with Post-Stroke Depression Onset at 3 Months.

OBJECTIVE: This study aimed to explore the correlation between white matter hyperintensity (WMH) and post-stroke depression (PSD) at 3 months, and to further investigate sex differences in the pathogenesis of PSD. METHODS: A total of 238 consecutive patients with acute cerebral infarction were recruited. PSD was assessed at 2 weeks and at 3 months after stroke onset. All stroke cases were divided into four subgroups according to the diagnosis of depression at two time nodes: continuous depression; depression remission; late-onset PSD; and continuous non-depression. The Fazekas and Scheltens visual rating scales were adopted to assess WMH. RESULTS: Logistic regression revealed that the presence of periventricular white matter hyperintensity (PVWMH) at baseline in male patients was an independent risk factor for PSD at 3 months. Further subgroup analysis revealed that PVWMH was associated with late-onset PSD in males, but not with continuous depression 3 months after stroke. Male acute stroke patients with PVWMH at baseline were more likely to develop PSD at 3 months, especially late-onset PSD. CONCLUSION: Our data suggest that sex differences may influence the pathogenesis of PSD.

Monocyte-to-Lymphocyte Ratio is Associated with Depression 3 Months After Stroke.

PURPOSE: To explore the relationship between the monocyte-to-lymphocyte ratio (MLR) and depression three months after acute ischemic stroke. PATIENTS AND METHODS: From May 2013 to September 2014, 203 patients with acute ischemic stroke were recruited within 7 days post-stroke from Shanghai Ruijin Hospital and blood samples were collected after admission. The Hamilton Depression Scale and Clinical Review were evaluated at 3 months after stroke. Based on the Diagnostic and Statistical Manual of Mental Disorders-IV diagnostic criteria, we divided patients into post-stroke depression (PSD) and non-PSD groups. We analyzed the intergroup difference in MLR and the contributing factors. Moreover, dynamic changes in monocytes, lymphocytes and MLR at four different time intervals for all the stroke patients and their relationship with PSD patients were also studied. RESULTS: The NIHSS scores and MLR in the PSD group were significantly higher than in the non-PSD group (p<0.05). Logistic regression analysis revealed MLR was an independent risk factor for PSD (odds ratio: 18.020, 95% confidence interval: 1.127‒288.195, p=0.041). MLR correlated negatively with cholesterol and low-density lipoprotein (r=-0.160 and -0.165, respectively, p<0.05). Within 7 days post-acute ischemic stroke, monocytes gradually increased while lymphocytes remained unchanged for all the stroke patients. The MLR value was significantly higher in the PSD group than in the non-PSD group within 24 h post-stroke (p<0.05), but there was no difference in the other three time-intervals between the two groups. CONCLUSION: The admission MLR, particularly within 24 h post-stroke, was associated with PSD at 3 months, implying that the MLR might be involved in the PSD inflammatory mechanism.

MicroRNA-210-3p Targets RGMA to Enhance the Angiogenic Functions of Endothelial Progenitor Cells Under Hypoxic Conditions.

Endothelial progenitor cells (EPCs) are multipotential stem cells considered to have immense clinical value for revascularization. However, the clinical application of EPCs has been hampered by their clinical potency in ischemic anoxic environments. This study aimed to explore the effect of microRNA-210 (miR-210) on EPCs under oxygen-glucose deprivation (OGD) conditions. We generated a model of EPCs cultured under OGD conditions to simulate ischemia and explore the expression of miR-210 in vitro. With longer exposure to hypoxia, we found that miR-210-3p expression was highly upregulated in OGD groups compared to that in controls from 4 to 24 h, but not miR-210-5p. We then transfected a miR-210-3p mimic and inhibitor into EPCs, and after 24 h, we exposed them to OGD conditions for 4 h to simulate ischemia. We detected miR-210 by real-time polymerase chain reaction (RT-PCR) and tested the proliferation, migration, and tube formation of normal EPCs and OGD-treated EPCs by CCK-8, transwell chamber, and Matrigel assays, respectively. The direct targets of miR-210-3p were predicted using miRWalk. Compared to that in normal EPCs, higher miR-210-3p expression was found in OGD-treated EPCs (p < 0.05). Moreover, upregulation of miR-210-3p was found to promote proliferation, migration, and tube formation in EPCs under normal and OGD conditions (p < 0.05), whereas down-regulation inhibited these abilities in OGD-treated EPCs (p < 0.05). Repulsive guidance molecule A (RGMA), a negative regulator of angiogenesis, was predicted to be a target of miR-210-3p. Accordingly, upregulation of miR-210-3p was found to inhibit its expression at the protein level in OGD-treated EPCs, whereas downregulation of miR-210-3p inhibited its expression (p < 0.05). A dual-luciferase reporter system confirmed that RGMA is a direct target of miR-210-3p. MicroRNA-210-3p overexpression enhances the angiogenic properties of OGD-treated EPCs by inhibiting RGMA.

MicroRNA-140-5p: A novel circulating biomarker for early warning of late-onset post-stroke depression.

We aimed to explore the circulating microRNAs biomarkers in the acute stage following cerebral ischemia to earlier warn late-onset post-stroke depression (PSD). A total of 251 consecutive patients with acute ischemic stroke were recruited. They were divided into three groups depending on whether PSD had occurred at 2 weeks or 3 months since stroke: early-onset PSD, late-onset PSD, and non-depressed group. Microarray assay was conducted to identify the different expression profiles of plasma miRNAs. Comprehensive bioinformatics analysis for their integrating putative target genes was performed. The key miRNA was validated in a larger cohort and its function was further studied in ischemic mice brain. We screened three differentially expressed miRNAs in the late-onset PSD individuals, miR-140-5p and miR-221-3p were significantly upregulated while miR-1246 was downregulated. The bioinformatics analysis demonstrated that their predicted target genes were mainly enriched in axon development and Ras signaling pathway. Logistic regression analysis revealed that miR-140-5p was an independent risk factor for late-onset PSD (P = 0.017, OR = 2.313, 95%CI 1.158 to 4.617). The miR-140-5p expression on admission was significantly positively correlated with HDRS scores assessed at 3 months after stroke (P = 0.0007). The predictive value of miR-140-5p for late-onset PSD is 83.3% sensitivity and 72.6% specificity (AUC = 0.8127, P < 0.0001). AAV-mediated overexpression of miR-140-5p decreased the protein level of IL1rap, IL1rapl1, VEGF, and MEGF10 in the ischemic mouse hippocampus and inhibited neurogenesis and capillary density. MiR-140-5p might be involved in the pathogenesis of late-onset PSD and used as a novel early warning biomarker.

Blood microRNA-15a Correlates with IL-6, IGF-1 and Acute Cerebral Ischemia.

OBJECTIVE: This study aims to explore the function of blood microRNA-15a (miR-15a) in the pathogenesis of acute cerebral ischemia (AIS). METHODS: Blood samples were collected from healthy control and AIS patients within 72 h after onset. A model of ischemia in human umbilical vein endothelial cells (HUVECs) was established through oxygen and glucose deprivation (OGD). MiR-15a in patients and in cells was measured using real-time quantitative polymerase chain reaction (qPCR). The predicted target of miR-15a such as interleukin-6 (IL-6) and insulin-like growth factors-1 (IGF-1) in plasma was detected by enzyme-linked immunosorbent assay (ELISA). The relations between blood miR-15a and stroke severity, stroke etiology, infarct location, stroke prognosis, predicted targets were analyzed by Statistical Product and Service Solutions (SPSS) software respectively. RESULTS: Higher miR-15a levels were found in AIS patients and ischemic cells within 72 h, compared to control (p < 0.05). Receiver Operating Characteristic (ROC) analysis showed that blood miR-15a predicted stroke onset with 98.67% specificity. Blood miR-15a had a negative correlation with National Institutes of Health Stroke Scale (NIHSS) scores (r = -0.3695, p < 0.01). The AIS patients with increased miR-15a levels had a better prognosis. MiR-15a was up-regulated in anterior circulation infarction and small-artery atherosclerosis stroke. Plasma levels of IL-6 and IGF-1 were associated with blood miR-15a (r = -0.6051, 0.3231, p < 0.05, respectively). CONCLUSION: Blood miR-15a associates with IL-6, IGF-1 and acute cerebral ischemia. It could serve as a potential diagnostic biomarker and therapeutic target for stroke.

Age-Related Frontal Periventricular White Matter Hyperintensities and miR-92a-3p Are Associated with Early-Onset Post-Stroke Depression.

Objective: To explore the correlationship among white matter hyperintensities (WMHs), miR-92a-3p and early-onset post-stroke depression (PSD). Methods: We recruited consecutively 238 patients with acute cerebral infarction and MRI examination in the Department of neurology, Ruijin hospital, Shanghai Jiaotong University School of Medicine. The diagnosis of early-onset PSD was made in accordance with DSM-IV criteria for depression in 2 weeks after stroke. Clinical information and assessments of stroke severity were recorded on admission. The analysis of plasma miR-92a-3p was performed using quantitative PCR at the same time. WMHs were evaluated by the Fazekas and Scheltens visual rating scales. The relationship among WMHs, miR-92a-3p and PSD were analyzed by SPSS 22.0 software. Results: Logistic regression demonstrated that periventricular WMHs (PVWMHs) in frontal caps was an independent risk factor with early-onset PSD (OR = 1.579, 95% CI: 1.040-2.397, p = 0.032). The age and numbers of lacunes were related to frontal PVWMHs. Plasma miR-92a-3p in the PSD group was higher compared with the non-depressed group. Receiver operating curve analysis revealed that miR-92a-3p could predict early-onset PSD with 90% sensitivity and 90% specificity. The higher miR-92a-3p trended toward association with greater frontal PVWMHs. Conclusion: Acute ischemic stroke patients with frontal PVWMHs or a high plasma miR-92a-3p at baseline were more likely to develop early-onset PSD. MiR-92a-3p might be involved in the white matter impairment and post-stroke depression.

Diabetes mellitus is associated with late-onset post-stroke depression.

OBJECTIVE: To explore the associated factors of late-onset post-stroke depression (PSD). METHODS: A total of 251 patients with acute ischemic stroke were recruited. The evaluation of depression was performed 2 weeks after ischemia. 206 patients showing no depression in 2 weeks were followed up. They were divided into late-onset PSD group and non-depressed group by clinical interview with Hamilton depression scale score 3 months after stroke. On the first day following hospitalization, the clinical data including age, gender, educational level and vascular risk factors were recorded. The severity, etiological subtype and location of stroke were evaluated. The inflammatory mediators, glucose and lipid levels were recorded on the day of admission. The association between clinical factors and late-onset PSD was explored by logistic regression analysis. The ROC analysis was performed to evaluate the predicting power of the clinical factors. RESULTS: 187 of 206 patients completed the assessment 3 months after stroke. 19 (10.16%) patients were diagnosed as late onset PSD. Diabetes mellitus was an independent risk factor for late-onset PSD (OR 2.675, p = 0.047). ROC analysis demonstrated that glucose and HbA1C could predict late-onset PSD with specificity of 84.4%. LIMITATIONS: The sample of our study was small. The results should be further confirmed in a larger cohort of patients with acute ischemic stroke. CONCLUSIONS: The acute ischemic stroke patients with diabetes mellitus were more tendered to suffer late-onset PSD.