TABLE 2.
MicroRNA | Expression pattern | Samples |
ROC curve analysis
|
Clinical significance | References | ||
Sensitivity | Specificity | AUC | |||||
miR-17-5p miR-21-5p miR-126-3p |
Upregulated | Plasma samples from 116 AD patients and 41 control individuals |
– 55.0% 38.3% |
– 70.7% 87.5% |
– 0.68 0.62 |
AD diagnosis and assessment for development and progression of cognitive impairment in AD | Giuliani et al., 2021 |
miR-9-5p | Downregulated | Whole-blood samples from 36 AD patients and 38 control individuals |
– | – | – | Diagnosis for late-onset AD | Souza et al., 2020 |
miR-29a | Upregulated | CSF samples from 18 AD patients and 20 control individuals |
89.0% | 70.0% | 0.87 | AD diagnosis | Müller et al., 2016 |
miR-34a miR-146a |
Downregulated | Plasma samples from 10 AD patients and 10 control individuals |
– – |
– – |
– – |
AD diagnosis | Kiko et al., 2014 |
miR-34a miR-125b miR-146a |
Downregulated | CSF samples from 10 AD patients and 10 control individuals |
– – – |
– – – |
– – – |
||
miR-29a miR-29b |
Upregulated | – – |
– – |
– – |
|||
miR-125b | Downregulated | Serum samples from 105 AD patients and 115 control individuals |
80.8% | 68.3% | 0.85 | AD diagnosis and assessment the degree of cognitive impairment | Tan et al., 2014 |
miR-126-5p | Upregulated | Serum samples from 105 AD patients and 115 control individuals |
72.7% | 60.5% | 0.72 | Early diagnosis of AD | Guo et al., 2017 |
miR-181c-3p | Downregulated | 71.9% | 73.3% | 0.78 | |||
miR-146a miR-181a |
Upregulated | Blood samples from 45 mild cognitive impairment patients |
– – |
– – |
– – |
Predicting the development of AD | Ansari et al., 2019 |
AD, Alzheimer’s disease; AUC, area under curve; ROC, receiver operating characteristic.