miR-22 and cerebral microbleeds in brainstem and deep area are associated with depression one month after ischemic stroke

Hu, Jia; Wei, Zhou; Zhou, Zhiming; Yang, Qian; Xu, Junfeng; Dong, Wanli

doi:10.1590/1414-431x20209162

Cited by 15 publications

(14 citation statements)

References 39 publications

(44 reference statements)

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“…During the current study, we found that 22.95% of patients developed depression 3 months after stroke, which was similar to previous studies. 26 , 27 The diagnosis of PSD is a dynamic process, and different time points have a significant impact on the prevalence of PSD in different studies, which may be related to the timing of PSD determination, discrepancies in design, psychological assessment methods, and different criteria for evaluation. Our results also showed that stroke severity and functional outcome were risk factors for the development of PSD, which was broadly consistent with the previous studies.…”

Section: Discussionmentioning

confidence: 99%

Elevated Red Blood Cell Distribution Width Levels at Admission Predicts Depression After Acute Ischemic Stroke: A 3-Month Follow-Up Study

Li¹,

Zhang²,

Dong³

et al. 2022

NDT

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Purpose Red blood cell distribution width (RDW) is closely related to inflammatory-related disease markers. The present study aimed to investigate the association between the red blood cell distribution width (RDW) and post-stroke depression (PSD). Patients and Methods A total of 414 patients with acute ischemic stroke (AIS) admitted to our hospital from June 2018 to July 2021 were consecutively enrolled and received 3 months’ follow-up. According to the 17-item Hamilton Depression Scale (HAMD) assessment, they were divided into PSD group and non-PSD group. Diagnosis of PSD was made in accordance with DSM-IV. RDW was recorded within 24 hours of admission. Results Among the included 414 patients, 95 (22.95%) patients were diagnosed as having PSD at 3 months after stroke. The results showed significantly higher level of RDW in patients with depression (13.69 (IQR13.24–13.88) vs. 13.56 (IQR 12.67–13.77), P<0.001) at admission than patients without depression. After adjustment for potential confounding factors, the odds ratio of PSD was 5.707 (95% CI, 2.717–11.989) for the highest tertile of RDW compared with the lowest tertile. Moreover, based on the receiver operating characteristic (ROC) curve, the optimal cutoff of RDW levels as an indicator for the prediction of PSD was projected as 13.01, which yielded a sensitivity of 83% and a specificity of 41.0%, with an area under the curve (AUC) of 0.643 (95% CI, 0.585–0.701; P = 0.012). Conclusion Higher RDW levels at admission were found to be correlated with PSD 3 months after stroke.

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Section: Discussionmentioning

confidence: 99%

Elevated Red Blood Cell Distribution Width Levels at Admission Predicts Depression After Acute Ischemic Stroke: A 3-Month Follow-Up Study

Li¹,

Zhang²,

Dong³

et al. 2022

NDT

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“…As a complication of stroke patients, PSD that has an incidence of approximately 25-79% seriously and negatively affects patients' rehabilitation and quality of life (17,18). There is more evidence that serum miRNAs are involved in bloodbrain barrier disruption, microbleeds and other pathophysiological processes of stroke patients, so they can be used as biological indicators for PSD diagnosis (19,20). In this study, the potential application value of miR-221-3p for PSD was mainly analyzed to provide reference for diagnosing and preventing the disease, which is of great significance for improving the quality of life of patients.…”

Section: Discussionmentioning

confidence: 99%

Diagnostic Values of miR-221-3p in Serum and Cerebrospinal Fluid for Post-Stroke Depression and Analysis of Risk Factors

Cui

Fan-ying

et al. 2021

ijph

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Background: We aimed to explore the diagnostic values of miR-221-3p in serum and cerebrospinal fluid (CSF) for post-stroke depression (PSD) and to analyze the risk factors of the disease. Methods: Admitted to the Second Affiliated Hospital of Harbin Medical University, Harbin, China from May 2013 to May 2020, 136 stroke patients were enrolled, among which 76 PSD patients were taken as a PSD group and 60 non-depressed patients were taken as a Non-PSD group. miR-221-3p expression in serum and CSF and concentrations of inflammatory cytokines (IL-6, TNF-α) in serum were detected, to analyze the diagnostic and prognostic values of the indicators for PSD. Correlations of miR-221-3p in serum with that in CSF, with the National Institute of Health Stroke Scale (NIHSS) score and the Hamilton Depression Rating Scale (HAMD) score, and with inflammatory cytokines were analyzed, so as to analyze the risk factors affecting the occurrence of PSD. Results: Compared with the Non-PSD group, miR-221-3p remarkably upregulated in serum and CSF in the PSD group, and its areas under the curves (AUCs) for PSD identification were 0.900 and 0.925, respectively. According to the correlation analysis, miR-221-3p in serum was remarkably positively correlated with that in CSF, NIHSS score, HAMD score, IL-6 and TNF-α. In addition, a history of mental illness, NIHSS score, HAMD score, IL-6, TNF-α and miR-221-3p were risk factors of PSD. Conclusion: miR-221-3p in serum and CSF can be used as the diagnostic and risk warning indicators of PSD.

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“…MMSE score was used to define cognitive recovery in one study at 14 days after stroke [58], whereas MoCA score assessed cognitive impairments in three studies in the chronic phase of stroke patients (within 1 year) [50,51,55]. To measure depression symptoms among post-stroke patients, three studies evaluated HAMD scores within 2-3 weeks and at 3 months after stroke onset [99][100][101].…”

Section: Prognostic Tools and Prediction Of Physical Recovery In Is P...mentioning

confidence: 99%

Circulating MicroRNAs and Extracellular Vesicle-Derived MicroRNAs as Predictors of Functional Recovery in Ischemic Stroke Patients: A Systematic Review and Meta-Analysis

Burlacu

Ciobanu

Bădulescu

et al. 2022

IJMS

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Stroke accounts for the second leading cause of death and a major cause of disability, with limited therapeutic strategy in both the acute and chronic phases. Blood-based biomarkers are intensively researched and widely recognized as useful tools to predict the prognoses of patients confronted with therapeutically limited diseases. We performed a systematic review of the circulating biomarkers in IS patients with prognostic value, with a focus on microRNAs and exosomes as predictive biomarkers of motor and cognitive recovery. We identified 63 studies, totalizing 72 circulating biomarkers with prognostic value in stroke recovery, as follows: 68 miRNAs and exosomal-miRNAs being identified as predictive for motor recovery after stroke, and seven biomarkers being predictive for cognitive recovery. Twelve meta-analyses were performed using effect sizes (random-effects and fixed-effects model). The most significant correlation findings obtained after pooling were with miR-21, miR-29b, miR-125b-5p, miR-126, and miR-335. We identified several miRNAs that were correlated with clinical outcomes of stroke severity and recovery after ischemic stroke, providing predictive information on motor and cognitive recovery. Based on the current state of research, we identified serum miR-9 and neutrophil miR-29b as the most promising biomarkers for in-depth follow-up studies, followed by serum miR-124 and plasma miR-125b.

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miR-22 and cerebral microbleeds in brainstem and deep area are associated with depression one month after ischemic stroke

Cited by 15 publications

References 39 publications

Elevated Red Blood Cell Distribution Width Levels at Admission Predicts Depression After Acute Ischemic Stroke: A 3-Month Follow-Up Study

Elevated Red Blood Cell Distribution Width Levels at Admission Predicts Depression After Acute Ischemic Stroke: A 3-Month Follow-Up Study

Diagnostic Values of miR-221-3p in Serum and Cerebrospinal Fluid for Post-Stroke Depression and Analysis of Risk Factors

Circulating MicroRNAs and Extracellular Vesicle-Derived MicroRNAs as Predictors of Functional Recovery in Ischemic Stroke Patients: A Systematic Review and Meta-Analysis

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