Risk Factors Associated with Mild Cognitive Impairment аmong Apparently Healthy People and the Role of MicroRNAs

Salama, Iman I.; Salama, Somaia I; Elmosalami, Dalia M.; Saleh, R. M.; Rasmy, Hanaa; Ibrahim, Mona H.; Kamel, Solaf; Ganem, Mona M.F.; Raslan, Hala M.

doi:10.3889/oamjms.2019.834

Cited by 10 publications

(7 citation statements)

References 66 publications

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“…Additionally, miR-874 is transcriptionally controlled by FoxO3a, which is implicated in insulin/insulin-like growth factor signaling with its effect on gene expression, usually in the opposite direction as insulin and IGF-1 [ 36 ]. Similar to the current study, miR-874 expression was not found to be associated with MCI among healthy employee [ 14 ].…”

Section: Discussionsupporting

confidence: 86%

“…In the present study, MCI was detected among 36.2% of T2DM patients, which is much higher than the percrntage of MCI (7.5%) that was reported among healthy employee [ 14 ]. The association of cognitive impairment with T2DM might be related to insulin resistance as insulin receptors are widely distributed throughout the brain.…”

Section: Discussioncontrasting

confidence: 57%

“…The prevalence of diabetes and MCI are increasing worldwide partially due to the increase in the ageing population and lifestyle choices [12]. Previous studies reported associations of cognitive impairment and/or dementia with T2DM [6,13] In the present study, MCI was detected among 36.2% of T2DM patients, which is much higher than the percrntage of MCI (7.5%) that was reported among healthy employee [14].…”

Section: Discussioncontrasting

confidence: 49%

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Plasma microRNAs biomarkers in mild cognitive impairment among patients with type 2 diabetes mellitus

et al. 2020

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Objectives To assess the potential value of some miRNAs as diagnostic biomarkers for mild cognitive impairment (MCI) among patients with type2 diabetes mellitus (T2DM) and to identify other risk factors for MCI among them. Methods This study enrolled 163 adults with T2DM using face to face interview. Cognitive function with its domains was assessed using Adenbrooke’s Cognitive Examination III (ACE III). Lipid profile, glycated hemoglobin, and miR-128, miR-132, miR- 874, miR-134, miR-323, and miR-382 expressions, using quantitative real-time PCR, were assessed. Results MCI was detected among 59/163 (36.2%) patients with T2DM. Plasma expression of miR-132 was significantly higher in T2DM patients with MCI compared to those without MCI and to normal cognitive healthy individuals (median = 2, 1.1 and 1.2 respectively, P < 0.05. Logistic regression analysis showed that higher miR-132 expression with adjusted odds ratio (AOR): 1.2 (95% CI 1.0–1.3), female gender (AOR:2.1; 95%CI 1.0–4.3), education below postgraduate (secondary and university education with AOR: 9.5 & 19.4 respectively) were the significant predicting factors for MCI among T2DM patients. Using ROC curve, miR-132 was the only assayed miRNA that significantly differentiates T2DM patients with MCI from those with normal cognition with 72.3% sensitivity, 56.2% specificity, and 63.8% accuracy (P < 0.05). Other studied miRNAs showed lower sensitivity and specificity for detecting MCI among studied T2DM participants. Conclusion MCI affects nearly one-third of adult patients with T2DM. A significantly over expression of miR-132 was detected among T2DM with MCI compared to those with normal cognition.

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Section: Discussionsupporting

confidence: 86%

Section: Discussioncontrasting

confidence: 57%

Section: Discussioncontrasting

confidence: 49%

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Plasma microRNAs biomarkers in mild cognitive impairment among patients with type 2 diabetes mellitus

et al. 2020

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“…miRNAs are small, non-coding RNAs that help regulate gene expression by silencing or activating mRNA transcripts (O'Brien et al, 2018). While there is an extensive evidence demonstrating the mechanistic action of miRNAs in exacerbating obese phenotype (McGregor and Choi, 2011;Mentzel et al, 2015;Iacomino and Siani, 2017), as well as recent evidence in literature demonstrating the role of circulating levels of miRNAs in neurodegenerative disease (Sharma and Lu, 2018;Salama et al, 2019;Yuen et al, 2021). However, there have been limited research that links the underlying mechanisms operant with transcriptional regulation of miRNAs in cognitive decline and neurodegeneration caused by obesity and associated comorbidities.…”

Section: Deckers Et Al 2017mentioning

confidence: 99%

A Review of miRNAs as Biomarkers and Effect of Dietary Modulation in Obesity Associated Cognitive Decline and Neurodegenerative Disorders

Perdoncin

Konrad

Wyner

et al. 2021

Front. Mol. Neurosci.

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There has been a progressive increase in the prevalence of obesity and its comorbidities such as type 2 diabetes and cardiovascular diseases worldwide. Recent studies have suggested that the crosstalk between adipose tissue and central nervous system (CNS), through cellular mediators and signaling pathways, may causally link obesity with cognitive decline and give rise to neurodegenerative disorders. Several mechanisms have been proposed in obesity, including inflammation, oxidative stress, insulin resistance, altered lipid and cholesterol homeostasis, which may result in neuroinflammation, altered brain insulin signaling, amyloid-beta (Aβ) deposition and neuronal cell death. Since obesity is associated with functional and morphological alterations in the adipose tissues, the resulting peripheral immune response augments the development and progression of cognitive decline and increases susceptibility of neurodegenerative disorders, such as Alzheimer’s Disease (AD) and Parkinson’s Disease (PD). Studies have also elucidated an important role of high fat diet in the exacerbation of these clinical conditions. However, the underlying factors that propel and sustain this obesity associated cognitive decline and neurodegeneration, remains highly elusive. Moreover, the mechanisms linking these phenomena are not well-understood. The cumulative line of evidence have demonstrated an important role of microRNAs (miRNAs), a class of small non-coding RNAs that regulate gene expression and transcriptional changes, as biomarkers of pathophysiological conditions. Despite the lack of utility in current clinical practices, miRNAs have been shown to be highly specific and sensitive to the clinical condition being studied. Based on these observations, this review aims to assess the role of several miRNAs and aim to elucidate underlying mechanisms that link obesity with cognitive decline and neurodegenerative disorders. Furthermore, this review will also provide evidence for the effect of dietary modulation which can potentially ameliorate cognitive decline and neurodegenerative diseases associated with obesity.

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“…In previous studies, several risk factors have been identified for MCI, including educational level, nutrition, older age, hearing impairment, B12 deficiency and active depression in the past 2 years. [ 6 7 8 ] Furthermore, the relationship between oral health status, especially tooth loss, and cognitive impairment has attracted much attention, with tooth loss reported as a factor associated with cognitive impairment or its exacerbation. [ 9 10 11 12 13 14 15 ] Although according to a systematic review, it is unclear how oral health is associated with cognitive status,[ 16 ] hippocampus which is associated with memory, learning and emotions has been shown to be connected with masticatory system via neural circuits.…”

Section: Introductionmentioning

confidence: 99%

The relationship between DMFT index and cognitive impairment: A descriptive cross-sectional study

Kamalabadi

Sedigh

Abbaslou

2020

J Family Med Prim Care

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Background and Aims: Cognitive disorders are characterized by major impairments in functions such as memory, judgment, language and attention. One of the tests used to assess these disorders is called the Montreal Cognitive Assessment Test, which is one of the most recent tests known in this field. DMFT index is the most important dental index for evaluation of decayed, missing and filled teeth. Since alteration or damage to the sensory function of teeth can cause changes in chewing function and different levels of cognitive disorders. The objective of this study was to determine the relationship of DMFT index with cognitive disorders in people aged 25-55 in Rafsanjan in 2019. Materials and Methods: This cross-sectional study was performed on 350 patients chosen by simple random sampling within age range of 25-55 years, referred to Rafsanjan Dental School in 2019. Patients' demographic information was recorded and each was given a consent form and also Montreal Cognitive Assessment Test. Dental examination regarding decayed, missing and filled teeth was then carried out by a dentist and The DMFT index was recorded. Data were then analyzed by SPSS version 21; P value less than 0.05 was considered as significant level. Results: Data showed that the MOCA index had a negative significant relationship with DMFT ( P = 0.001) and age ( P = 0.001) and had a significant positive relationship with education ( P = 0.001), but it had no significant relationship with gender ( P = 0.853), time of last dental appointment ( P = 0.231) and place of residence ( P = 0.428). The effect of age ( P = 0.67) and gender ( P = 0.525) on the relationship of DMFT and MOCA was not significant. But the effect of education ( P = 0.001), place of residence ( P = 0.0003) and time of last dental appointment ( P = 0.002) on it was significant. Conclusion: The results of this study showed that the relationship between DMFT index and cognitive disorders was significant and the higher the score of this index, the more severe cognitive disorders.

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Risk Factors Associated with Mild Cognitive Impairment аmong Apparently Healthy People and the Role of MicroRNAs

Cited by 10 publications

References 66 publications

Plasma microRNAs biomarkers in mild cognitive impairment among patients with type 2 diabetes mellitus

Plasma microRNAs biomarkers in mild cognitive impairment among patients with type 2 diabetes mellitus

A Review of miRNAs as Biomarkers and Effect of Dietary Modulation in Obesity Associated Cognitive Decline and Neurodegenerative Disorders

The relationship between DMFT index and cognitive impairment: A descriptive cross-sectional study

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