From the samples, they identified 140 miRNAs which had skewed level of expression. Of the 140 miRNA’s, the abundance in the blood samples of the Alzheimer’s patients differs greatly; 82 have high abundance and 58 with lower abundance. Leidinger then selected a larger panel of 12 miRNAs in the blood for a larger study of 202 samples. These samples included blood from Alzheimer’s patients, healthy individuals and individuals with other central nervous system (CNS) diseases. Using the 12 biomarkers, they were able to successfully differentiate between the Alzheimer’s patients and healthy individuals with 93% accuracy; 95% specificity; and 92% sensitivity. The accuracies of between Alzheimer’s and the other CNS diseases were between 74% and 78% and the accuracies between other CNS diseases and healthy individuals were even higher. In conclusion, the data found in the study indicates that miRNA’s in the blood could serve as biomarkers in the diagnosis of many nervous system diseases (2).
This study was specifically related to Alzheimer’s disease. The study’s primary focus was to develop a relatively simple and reliable means of identifying Alzheimer’s and other CNS diseases. While additional research is needed, Leidinger’s study does suggest that miRNA’s in blood samples might be used as biomarkers for diagnosing Alzheimer’s and other neurological diseases …show more content…
However, races such as Native Americans Indians, Alaskans, Hawaiians, Hispanics, and other minorities had significantly higher instances of EOAD. A higher percentage of the LOAD group reported a family history of the disease and of other heart related issues. This group also appeared to use more risperidone and donepezil. On the other hand, early-onset Alzheimer’s “occurs independently of hypertension, stroke and atrial fibrillation” (4). Early-onset patients are however have a higher chance later in life to suffer from depression or anxiety