Decoding the complexity of Alzheimer's disease

 Alzheimer's disease affects more than 6 million people in the United States, and there are very few FDA-approved treatments that can slow the progression of the disease.

In hopes of discovering new targets for potential Alzheimer's treatments, MIT researchers have performed the broadest analysis yet of the genomic, epigenomic, and transcriptomic changes that occur in every cell type in the brains of Alzheimer's patients.

Using more than 2 million cells from more than 400 postmortem brain samples, the researchers analyzed how gene expression is disrupted as Alzheimer's progresses. They also tracked changes in cells' epigenomic modifications, which help to determine which genes are turned on or off in a particular cell. Together, these approaches offer the most detailed picture yet of the genetic and molecular underpinnings of Alzheimer's.

The researchers report their findings in a set of four papers appearing today in Cell. The studies were led by Li-Huei Tsai, director of MIT's Picower Institute for Learning and Memory, and Manolis Kellis, a professor of computer science in MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and a member of the Broad Institute of MIT and Harvard.

"What we set out to do was blend together our computational and our biological expertise and take an unbiased look at Alzheimer's at an unprecedented scale across hundreds of individuals -- something that has just never been undertaken before," Kellis says.

The findings suggest that an interplay of genetic and epigenetic changes feed on each other to drive the pathological manifestations of the disease.

"It's a multifactorial process," Tsai says. "These papers together use different approaches that point to a converging picture of Alzheimer's disease where the affected neurons have defects in their 3D genome, and that is causal to a lot of the disease phenotypes we see."

A complex interplay

Many efforts to develop drugs for Alzheimer's disease have focused on the amyloid plaques that develop in patients' brains. In their new set of studies, the MIT team sought to uncover other possible approaches by analyzing the molecular drivers of the disease, the cell types that are the most vulnerable, and the underlying biological pathways that drive neurodegeneration.

To that end, the researchers performed transcriptomic and epigenomic analyses on 427 brain samples from the Religious Orders Study/Memory and Aging Project (ROSMAP), a longitudinal study that has tracked memory, motor, and other age-related changes in older people since 1994. These samples included 146 people with no cognitive impairment, 102 with mild cognitive impairment, and 144 diagnosed with Alzheimer's-linked dementia.

In the first Cell paper, focused on gene expression changes, the researchers used single-cell RNA-sequencing to analyze the gene expression patterns of 54 types of brain cells from these samples, and identified cellular functions that were most affected in Alzheimer's patients. Among the most prominent, they found impairments in the expression of genes involved in mitochondrial function, synaptic signaling, and protein complexes needed to maintain the structural integrity of the genome.

Source: ScienceDaily