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Ageing must become central to Parkinson’s research, experts say

Ageing should be central to Parkinson’s research, experts argue, saying it has been sidelined as studies focused on genetics and single disease mechanisms.
Parkinson’s is a progressive neurological condition that affects movement and can cause tremors, stiffness and balance problems.
It affects about one million people in the US and more than ten million worldwide, with numbers rising as populations age, particularly in developed countries.
Only around 10 per cent of cases are directly linked to family history.
Most are thought to arise from a mix of advancing age, genetic vulnerability, environmental exposures and lifestyle factors.
A team led by Dr Julie Andersen, a professor at the Buck Institute for Research on Aging in the US and senior author of the study, says many age-related brain changes resemble those seen early in Parkinson’s.
These include mitochondrial dysfunction, where the cell’s energy-producing structures stop working properly; impaired autophagy, the process cells use to clear damaged components; increased inflammation; and cellular senescence, where cells stop dividing and release harmful substances.
“Many age-related changes in the brain mirror those seen in the early stages of Parkinson’s,” she said.
“The research community needs to approach this disease holistically and ageing is the place to start.”
“When we reviewed studies that include ageing, we concluded that the influence of ageing on Parkinson’s is subtle, emerges gradually and likely interacts synergistically with other contributing factors,” Andersen added.
The researchers suggest this gradual, cumulative effect may help explain why Parkinson’s usually develops later in life and why it varies so widely between individuals.
Andersen and colleagues have also produced a research road map, including guidance on mouse models for experiments where ageing is treated as a central part of how Parkinson’s develops.
The plan also aims to standardise methods, encourage collaboration between laboratories and make better use of limited research resources.
“As a group we recognise that the complexity and diversity of Parkinson’s models, combined with the lengthy nature of ageing studies, present challenges that require substantial resources and innovative approaches,” Andersen said.
“Our work is aimed at making it easier for researchers to include ageing as a critical element of their efforts to tackle this disease.”
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AI can predict Alzheimer’s with almost 93% accuracy, researchers say

Alzheimer’s AI can predict the disease with nearly 93 per cent accuracy using more than 800 brain scans, researchers say.
The system identified anatomical changes in the brain linked to the onset of the most common form of dementia, a condition that gradually damages memory and thinking.
The findings build on years of research suggesting AI could help spot early Alzheimer’s risk, predict disease and identify patients whose condition has not yet been diagnosed.
Benjamin Nephew, an assistant research professor at the Worcester Polytechnic Institute in Massachusetts, said: “Early diagnosis of Alzheimer’s disease can be difficult because symptoms can be mistaken for normal ageing.
“We found that machine-learning technologies, however, can analyse large amounts of data from scans to identify subtle changes and accurately predict Alzheimer’s disease and related cognitive states.”
The study used MRI scans, a type of detailed brain imaging, from 344 people aged 69 to 84.
The dataset included 281 scans showing normal mental function, 332 with mild cognitive impairment, an early stage of memory and thinking decline, and 202 with Alzheimer’s.
The scans covered 95 of the brain’s nearly 200 distinct regions and used an AI algorithm to predict patients’ health.
Being able to use AI to help diagnose Alzheimer’s earlier could give patients and doctors crucial time to prepare and potentially slow the progression of the disease.
The analysis showed that one of the top predictive factors was brain volume loss, or shrinkage, in the hippocampus, which helps form memories, the amygdala, which processes fear, and the entorhinal cortex, which helps provide a sense of time.
This pattern held across age and sex, with both men and women aged 69 to 76 showing volume loss in the right part of the hippocampus, suggesting it may be an important area for early diagnosis, the researchers noted.
However, the research also found that the way brain regions shrink differs by sex.
In females, volume loss occurred in the brain’s left middle temporal cortex, which is involved in language and visual perception. In males, it was mainly seen in the right entorhinal cortex
The researchers believe this could be linked to changes in sex hormones, including the loss of oestrogen in women and testosterone in men.
These conclusions could help improve methods of diagnosis and treatment going forward, Nephew said.
More than 7.2m Americans are living with Alzheimer’s, according to the Alzheimer’s Association.
More research is being done to reveal other impacting factors.
Nephew said: “The critical challenge in this research is to build a generalisable machine-learning model that captures the difference between healthy brains and brains from people with mild cognitive impairment or Alzheimer’s disease.”
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