2017
DOI: 10.1186/s13195-017-0316-0
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Circulating brain-enriched microRNAs as novel biomarkers for detection and differentiation of neurodegenerative diseases

Abstract: BackgroundMinimally invasive specific biomarkers of neurodegenerative diseases (NDs) would facilitate patient selection and disease progression monitoring. We describe the assessment of circulating brain-enriched microRNAs as potential biomarkers for Alzheimer’s disease (AD), frontotemporal dementia (FTD), Parkinson’s disease (PD), and amyotrophic lateral sclerosis (ALS).MethodsIn this case-control study, the plasma samples were collected from 250 research participants with a clinical diagnosis of AD, FTD, PD,… Show more

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Cited by 149 publications
(180 citation statements)
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References 103 publications
(71 reference statements)
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“…They found that miR-29c-3p and miR-15a-5p had the highest classification accuracies separately, and by combing them in a simple ratio model (RELmiR-29c-3p/RELmiR-15a-5p), they found that AD patients could be distinguished from patients with other types of dementia (cut-off value 0.92) with a sensitivity of 90% and a specificity of 100% [56]. In another work investigating the assessment of circulating brain-enriched miRNAs as potential biomarkers for AD, FTD, PD, and amyotrophic lateral sclerosis (ALS), the authors revealed miRNA classifiers capable of differentiating NDs from each other with accuracy ranging from 0.77 (AUC, 0.87) for AD vs FTD to 0.93 (AUC, 0.98) for AD vs ALS [57]. Moreover, Vallelunga and colleagues, identified three up-regulated miRNAs in serum of MSA patients (miR-24, miR-34b, miR-148b) in comparison to PD patients [58].…”
Section: Correlation Of Mir-127-3p Level With Clinical Scoresmentioning
confidence: 99%
See 1 more Smart Citation
“…They found that miR-29c-3p and miR-15a-5p had the highest classification accuracies separately, and by combing them in a simple ratio model (RELmiR-29c-3p/RELmiR-15a-5p), they found that AD patients could be distinguished from patients with other types of dementia (cut-off value 0.92) with a sensitivity of 90% and a specificity of 100% [56]. In another work investigating the assessment of circulating brain-enriched miRNAs as potential biomarkers for AD, FTD, PD, and amyotrophic lateral sclerosis (ALS), the authors revealed miRNA classifiers capable of differentiating NDs from each other with accuracy ranging from 0.77 (AUC, 0.87) for AD vs FTD to 0.93 (AUC, 0.98) for AD vs ALS [57]. Moreover, Vallelunga and colleagues, identified three up-regulated miRNAs in serum of MSA patients (miR-24, miR-34b, miR-148b) in comparison to PD patients [58].…”
Section: Correlation Of Mir-127-3p Level With Clinical Scoresmentioning
confidence: 99%
“…Sheinerman and colleagues revealed sex dependence of certain brain-enriched miRNAs, which distinguished NDs from HC in sex-specific subsets with a significantly higher accuracy than in the total (female and male) population [57]. In another study, Denk and colleagues described gender specific differences concerning miR-106a, miR-17, miR-320, miR-19a, miR-221, miR-532, miR-95 in CSF of AD patients [62].…”
Section: Correlation Of Mir-127-3p Level With Clinical Scoresmentioning
confidence: 99%
“…MicroRNA pairs and their combinations could differentiate all diseases from controls and from each other with high accuracy. Up-regulation of pairs miR-206/miR-338-3p, miR9*/miR-129-3p and miR-335-5p/miR-338-3p differentiated ALS from controls, while combinations miR-31/miR-206, miR-125b/miR-335-5p and miR-107/miR-491-5p differentiated ALS from AD, respectively [121].…”
Section: Mirnas As Candidate Circulating Biomarkers Of Alsmentioning
confidence: 95%
“…miR-338-3p is another potential circulating miRNA for ALS, since it was found consistently upregulated in several studies [45,50,111,114,121,126]. Its role as a functional miRNA in controlling different molecular pathways has been reported.…”
Section: The Most Promising Potential Circulating Mirna Biomarkers Anmentioning
confidence: 98%
“…Mechanisms of sex differences in neurodegenerative and neurovascular pathologies. Reference key: 1 (Corder et al, ), 2 (Chauhan et al, ), 3 (Selvamani, Sathyan, Miranda, & Sohrabji, ; Kaidonis, Rao, Ouyang, & Stary, ), 4 (Sheinerman et al, ), 5 (Villa et al, ), 6 (Sarlus & Heneka, ), 7 (Rhodes, O'Toole, Wright, Czambel, & Rubin, ), 8 (Wickens, Bangasser, & Briand, ), 9 (Beeri et al, ), 10 (Maki, ), 11 (Paoletti et al, ), 12 (Lee et al, ), 13 (Scacchi, Gambina, Broggio, & Corbo, ), 14 (Roy‐O'Reilly & McCullough, ), 15 (Miller et al, ; Bushnell et al, ), 16 (Emdin et al, ), 17 (Selvamani et al, ), 18 (Giedd, Raznahan, Mills, & Lenroot, ), 19 (Giedd et al, ), and 20 (Giedd et al, )…”
Section: Sex Differences In the Most Common Dementia Pathologiesmentioning
confidence: 99%