4 research outputs found
Additional file 2: Table S1. of Bacterial and fungal core microbiomes associated with small grain silages during ensiling and aerobic spoilage
Bacterial and Fungal Diversity Index. Table S2. Mapping File used for MOTHUR pipeline. (DOCX 18Â kb
Additional file 6: Figure S5. of Bacterial and fungal core microbiomes associated with small grain silages during ensiling and aerobic spoilage
Taxonomic profile and relative abundance of the fungal core microbiome after aerobic exposure (14 days). OTUs were assigned at the genus level. (TIF 427Â kb
Additional file 3: Figure S2. of Bacterial and fungal core microbiomes associated with small grain silages during ensiling and aerobic spoilage
PCo analysis. Principal coordinates analysis for bacterial (left) and fungal (right) communities according to sampling time; fresh forage, terminal silage, aerobically exposed silage (A and B) and silage type (C and D). (TIF 822Â kb
Elevated plasma microRNA-206 levels predict cognitive decline and progression to dementia from mild cognitive impairment
The need for practical biomarkers for early diagnosis of Alzheimer’s disease (AD) remains largely unmet. Here we investigated the use of blood-based microRNAs as prognostic biomarkers for AD and their application in a novel electrochemical microfluidic device for microRNA detection. MicroRNA transcriptome was profiled in plasma from patients with mild cognitive impairment (MCI) and AD. MicroRNAs Let-7b and microRNA-206 were validated at elevated levels in MCI and AD, respectively. MicroRNA-206 displayed a strong correlation with cognitive decline and memory deficits. Longitudinal follow-ups over five years identified microRNA-206 increases preceding the onset of dementia. MicroRNA-206 was increased in unprocessed plasma of AD and MCI subjects, detected by our microfluidic device. While increased Let-7b levels in plasma may be used to identify patients with MCI, changes in plasma levels of microRNA-206 may be used to predict cognitive decline and progression towards dementia at an MCI stage. MicroRNA quantification via a microfluidic device could provide a practical cost-effective tool for the stratification of patients with MCI according to risk of developing AD