Functional role of miR-34a in diabetes and frailty

Mone, Pasquale; Donato, Antonio de; Varzideh, Fahimeh; Kansakar, Urna; Jankauskas, Stanislovas S.; Pansini, Antonella; Santulli, Gaetano

doi:10.3389/fragi.2022.949924

Cited by 17 publications

(7 citation statements)

References 89 publications

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“…This observation aligns with recent review studies, such as the one by Pasquale Mone et al. ( 20 ), which emphasized the significant role of miR-34 in regulating pancreatic islets/beta cell function in the context of diabetes. These findings shed light on the multifaceted involvement of miRNAs in diabetes research and emphasize their potential as valuable tools for understanding the pathogenesis and complications of diabetes.…”

Section: Discussionsupporting

confidence: 92%

Text mining-based identification of promising miRNA biomarkers for diabetes mellitus

Dai

Tran

et al. 2023

Front. Endocrinol.

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IntroductionMicroRNAs (miRNAs) are small, non-coding RNAs that play a critical role in diabetes development. While individual studies investigating the mechanisms of miRNA in diabetes provide valuable insights, their narrow focus limits their ability to provide a comprehensive understanding of miRNAs’ role in diabetes pathogenesis and complications.MethodsTo reduce potential bias from individual studies, we employed a text mining-based approach to identify the role of miRNAs in diabetes and their potential as biomarker candidates. Abstracts of publications were tokenized, and biomedical terms were extracted for topic modeling. Four machine learning algorithms, including Naïve Bayes, Decision Tree, Random Forest, and Support Vector Machines (SVM), were employed for diabetes classification. Feature importance was assessed to construct miRNA-diabetes networks.ResultsOur analysis identified 13 distinct topics of miRNA studies in the context of diabetes, and miRNAs exhibited a topic-specific pattern. SVM achieved a promising prediction for diabetes with an accuracy score greater than 60%. Notably, miR-146 emerged as one of the critical biomarkers for diabetes prediction, targeting multiple genes and signal pathways implicated in diabetic inflammation and neuropathy.ConclusionThis comprehensive approach yields generalizable insights into the network miRNAs-diabetes network and supports miRNAs’ potential as a biomarker for diabetes.

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Section: Discussionsupporting

confidence: 92%

Text mining-based identification of promising miRNA biomarkers for diabetes mellitus

Dai

Tran

et al. 2023

Front. Endocrinol.

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“…7 B), one of the major miRNA involved in insulin production. MiR-34a was associated with insulin resistance being involved in pancreatic development, as well as in the onset of T 2 D [ 98 , 102 , 103 ]. There are contradictory data regarding circulating levels of miR-34a in diabetes.…”

Section: Resultsmentioning

confidence: 99%

Microvesicle-associated and circulating microRNAs in diabetic dyslipidemia: miR-218, miR-132, miR-143, and miR-21, miR-122, miR-155 have biomarker potential

Nemecz,

Stefan,

Comarița

et al. 2023

Cardiovasc Diabetol

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Background Circulating MicroRNAs (miRNAs) carried by microvesicles (MVs) have various physiological and pathological functions by post-transcriptional regulation of gene expression being considered markers for many diseases including diabetes and dyslipidemia. We aimed to identify new common miRNAs both in MVs and plasma that could be predictive biomarkers for diabetic dyslipidemia evolution. Methods For this purpose, plasma from 63 participants in the study (17 type 2 diabetic patients, 17 patients with type 2 diabetes and dyslipidemia, 14 patients with dyslipidemia alone and 15 clinically healthy persons without diabetes or dyslipidemia) was used for the analysis of circulating cytokines, MVs, miRNAs and MV-associated miRNAs. Results The results uncovered three miRNAs, miR-218, miR-132 and miR-143, whose expression was found to be significantly up-regulated in both circulating MVs and plasma from diabetic patients with dyslipidemia. These miRNAs showed significant correlations with important plasma markers, representative of this pathology. Thus, MV/plasma miR-218 was negatively correlated with the levels of erythrocyte MVs, plasma miR-132 was positively connected with MV miR-132 and negatively with uric acid and erythrocyte plasma levels, and plasma miR-143 was negatively related with creatinine levels and diastolic blood pressure. Also, three miRNAs common to MV and plasma, namely miR-21, miR-122, and miR-155, were identified to be down-regulated and up-regulated, respectively, in diabetic dyslipidemia. In addition, MV miR-21 was positively linked with cholesterol plasma levels and plasma miR-21 with TNFα plasma levels, MV miR-122 was negatively correlated with LDL-c levels and plasma miR-122 with creatinine and diastolic blood pressure and positively with MV miR-126 levels, MV miR-155 was positively associated with cholesterol and total MV levels and negatively with HDL-c levels, whereas plasma miR-155 was positively correlated with Il-1β plasma levels and total MV levels and negatively with MV miR-223 levels. Conclusions In conclusion, miR-218, miR-132, miR-143, and miR-21, miR-122, miR-155 show potential as biomarkers for diabetic dyslipidemia, but there is a need for more in-depth studies. These findings bring new information regarding the molecular biomarkers specific to diabetic dyslipidemia and could have important implications for the treatment of patients affected by this pathology.

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“…Studies suggested that endothelial dysfunction was involved in both hypertension and cognitive impairment (10,11). Several medications, such as L-arginine, empagliflozin, choline, metformin, and others, have been found to improve endothelial function and may therefore be beneficial in enhancing cognitive function (12,(37)(38)(39).…”

Section: Discussionmentioning

confidence: 99%

Effect of blood pressure on mortality in patients with cognitive impairment: a prospective cohort study

Shang,

Wang,

Wei

et al. 2023

Front. Cardiovasc. Med.

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BackgroundCognitive impairment is a prevalent condition that substantially elevates mortality rates among the elderly. The impact of hypertension on mortality in older adults with cognitive impairment is a subject of contention. This study aims to examine the influence of hypertension on both all-cause and CVD-specific mortality in elderly individuals experiencing cognitive impairment within a prospective cohort.MethodsThis study encompassed 2,925 participants (weighted 53,086,905) aged 60 years or older from National Health and Nutrition Examination Survey (NHANES) spanning 2011–2014. Incidence of all-cause and CVD-specific mortality was ascertained through linkage with National Death Index records until 31 December 2019. Survival was performed employing the Kaplan–Meier method. Hazard ratios (HRs) were calculated via Cox proportional hazards regression models.ResultsOver the follow-up period of up to 9.17 years [with a median (IQR) time to death of 6.58 years], equivalent to 18,731.56 (weighted 3.46 × 108) person-years, there were a total of 576 recorded deaths. Participants with CI exhibited a 1.96-fold higher risk of all-cause mortality (95% CI: 1.55–2.49; p < 0.01) and a 2.8-fold higher risk of CVD-specific mortality (95% CI: 1.83–4.29; p < 0.01) in comparison to participants without CI. Among participants with CI, concurrent hypertension comorbidity was linked to a 2.73-fold elevated risk of all-cause mortality (95% CI: 1.78–4.17; p < 0.01) and a 5.3-fold elevated risk of CVD-specific mortality (95% CI: 2.54–11.04; p < 0.01). Further stratified analyses revealed that the combined effects of hypertension and CI on all-cause and CVD-specific mortality were more pronounced in participants aged 60–69 years compared to those aged 70–80 years (p for interaction <0.01). The primary findings exhibited resilience across a series of sensitivity analyses.ConclusionsParticipants with CI exhibited a markedly elevated risk of all-cause and CVD-specific mortality when coexisting with hypertension. Appropriate management of hypertension in patients with CI may be helpful in reducing the excess risk of death.

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Functional role of miR-34a in diabetes and frailty

Cited by 17 publications

References 89 publications

Text mining-based identification of promising miRNA biomarkers for diabetes mellitus

Text mining-based identification of promising miRNA biomarkers for diabetes mellitus

Microvesicle-associated and circulating microRNAs in diabetic dyslipidemia: miR-218, miR-132, miR-143, and miR-21, miR-122, miR-155 have biomarker potential

Effect of blood pressure on mortality in patients with cognitive impairment: a prospective cohort study

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