MicroRNA Let-7i Is a Promising Serum Biomarker for Post-stroke Cognitive Impairment and Alleviated OGD-Induced Cell Damage in vitro by Regulating Bcl-2

Wang, Zhanqiang; Li, Kuo; Huang, Jie; Huo, Tiantian; Lv, Peiyuan

doi:10.3389/fnins.2020.00215

Cited by 11 publications

(9 citation statements)

References 36 publications

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“…Thus, the increased abundance of Enterobacteriaceae might be significantly associated with PSCI.Due to the severity of PSCI, it is urgent to find biomarkers for PSCI diagnosis. Previous studies demonstrated that some microRNAs could achieve expected results in the diagnosis of PSCI (Huang et al, 2016;Wang et al, 2020). Besides, recent studies indicated that the imaging and multiple cellular changes had made significant progress in the diagnosis of neurological disease (Vijayan and Reddy, 2016a;Eyileten et al, 2018;Guo et al, 2018;Vijayan et al, 2018;Saba et al, 2019).…”

Section: Figure 3 |mentioning

confidence: 99%

Gut Microbiome Signatures Are Biomarkers for Cognitive Impairment in Patients With Ischemic Stroke

Liu

Gong

Zhang

et al. 2020

Front. Aging Neurosci.

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Post-stroke cognitive impairment (PSCI) is a common neuropsychiatric complication of stroke. Mounting evidence has demonstrated a connection between gut microbiota (GM) and neuropsychiatric disease. Our previous study revealed the changes in the GM in a mouse model of vascular dementia. However, the characteristic GM of PSCI remains unclear. This study aimed to characterize the GM of PSCI and explored the potential of GM as PSCI biomarkers. A total of 93 patients with ischemic stroke were enrolled in this study. The patients were divided into two groups according to their MoCA scores 3 months after stroke onset. Clinical data and biological variables were recorded. GM composition was analyzed using 16S ribosomal RNA sequencing, and the characteristic GM was identified by linear discriminant analysis Effect Size (Lefse). Our results showed that Proteobacteria was highly increased in the PSCI group compared with the post-stroke non-cognitive impairment (PSNCI) group, the similar alterations were also observed at the class, order, family, and genus levels of Proteobacteria. After age adjustments, the abundance of Firmicutes, and its members, including Clostridia, Clostridiales, Lachnospiraceae, and Lachnospiraceae_other, were significantly decreased in the age-matched PSCI group compared with the PSNCI group. Besides, the GM was closely associated with MoCA scores and the risk factors for PSCI, including higher baseline National Institute of Health Stroke Scale score, higher homocysteine (Hcy) level, higher prevalence of stroke recurrence, leukoaraiosis, and brain atrophy. The KEGG results showed the enriched module for folding, sorting and degradation (chaperones and folding catalysts) and the decreased modules related to metabolisms of cofactors and vitamins, amino acid, and lipid in PSCI patients. A significant correlation was observed between PSCI and the abundance of Enterobacteriaceae after adjustments (P = 0.035). Moreover, the receiver operating characteristic (ROC) models based on the characteristic GM and Enterobacteriaceae could distinguish PSCI patients from PSNCI patients [area under the curve (AUC) = 0.840, 0.629, respectively]. Our findings demonstrated that the characteristic GM, especially Enterobacteriaceae, might have the ability to predict PSCI in post-stroke patients, which are expected to be used as clinical biomarkers of PSCI.

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Section: Figure 3 |mentioning

confidence: 99%

Gut Microbiome Signatures Are Biomarkers for Cognitive Impairment in Patients With Ischemic Stroke

Liu

Gong

Zhang

et al. 2020

Front. Aging Neurosci.

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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%

“…A total of 13 studies performed ROC analyses to analyze the prognosis of IS patients (neurological deficit severity and post-stroke disability) of the 15 circulating biomarkers. Of the 15 differentially expressed miRNAs, five miRNAs (miR-132, let-7i, miR-140-5p, miR-22, and miR-221-3p) [50,55,[99][100][101] were upregulated in patients with cognitive impairments after stroke, and 12 miRNAs (miR-24, miR-29b, miR-210, miR-411-5p, miR-124-3p, miR-125b-5p, miR-192-5p, miR-210, miR-185, miR-424, miR-100-5p, and miR-210) [53,61,62,75,82,87,90,102] were downregulated in poor-prognosis patients with motor deficits.…”

Section: Clinical Utility Of Mirna-based Biomarkers In Prediction Of ...mentioning

confidence: 99%

“…A total of 5 miRNAs were associated with long-term prognosis of motor function, assessed by the GOS [49,59], mRS [84], and NIHSS scores [70,88] at 1-3 months. Moreover, cognitive recovery evaluated by the MMSA, MoCA, and HAMD within 1 year was related to four miRNAs [55,[99][100][101]. Most of the studies isolated miRNAs at the same time as the patient's clinical score assessment, specifically at the time of hospital admission of IS patients.…”

Section: Clinical Utility Of Mirna-based Biomarkers In Prediction Of ...mentioning

confidence: 99%

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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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“…17 Exosome-derived miR-let-7c promotes angiogenesis in multiple myeloma by polarizing macrophages. 18 Moreover, miR-let-7i-5p is a promising serum biomarker for poststroke cognitive impairment and alleviated oxygen glucose deprivation-induced cell damage in vitro by regulating Bcl-2 19 and involved in inflammation associated cells apoptosis. 20 Here, we aim to investigate the relationship among exosomal miR-let-7c-5p (or miR-let-7i-5p), IL-10 levels in plasma, and MCI in type 2 diabetes mellitus (T2DM) patients via the present cross-sectional research.…”

Section: Introductionmentioning

confidence: 99%

Exosomal miR‐let‐7c‐5p is involved in the cognitive function of type 2 diabetes mellitus patients by interleukin 10: A cross‐sectional study

Zhang

Yang

Zhu

et al. 2023

Journal of Diabetes

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BackgroundInterleukin (IL)‐10 plays a notable role in the inflammatory‐associated mild cognitive impairment (MCI). We aimed to investigate whether IL‐10 and its upstream factors exert an impact on MCI in type 2 diabetes mellitus (T2DM) patients.MethodsA total of 117 T2DM patients were recruited and divided into Control group and MCI group based on the presence or absence of MCI. Clinical parameters were collected. The Montreal Cognitive Assessment (MoCA) was conducted for global cognitive function. Digit Span Test (DST), Verbal Fluency Test (VFT), and Trail Making Test‐B (TMTB) were used to evaluate the executive functions of the diabetic patients. Trail Making Test‐A (TMTA) was performed to examine the information processing speed function. Patients' scene memory was examined by Logical Memory Test (LMT). After the baseline data were compared, correlation and regression analyses were performed to explore the relationship among IL‐10, miR‐let‐7c‐5p and cognitive function.ResultsCompared to 80 patients in the control group, 37 patients in the MCI group exhibited lower IL‐10 in plasma and higher miR‐let‐7c‐5p levels in exosomes from plasma. The IL‐10 level was negatively associated with MoCA. Likewise, miR‐let‐7c‐5p levels were negatively correlated with IL‐10 levels and MoCA. Elevated miR‐let‐7c‐5p levels and decreased IL‐10 levels are risk factors for MCI in T2DM patients. Increased miR‐let‐7c‐5p and downregulated IL‐10 may influence VFT and TMTB, respectively, associated with executive function.ConclusionsWe demonstrated that IL‐10 is correlated to the executive function of T2DM patients. Decreased IL‐10 may result from the regulation of miR‐let‐7c‐5p in exosomes.

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MicroRNA Let-7i Is a Promising Serum Biomarker for Post-stroke Cognitive Impairment and Alleviated OGD-Induced Cell Damage in vitro by Regulating Bcl-2

Cited by 11 publications

References 36 publications

Gut Microbiome Signatures Are Biomarkers for Cognitive Impairment in Patients With Ischemic Stroke

Gut Microbiome Signatures Are Biomarkers for Cognitive Impairment in Patients With Ischemic Stroke

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

Exosomal miR‐let‐7c‐5p is involved in the cognitive function of type 2 diabetes mellitus patients by interleukin 10: A cross‐sectional study

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