Tuesday January 21, 2020

Alzheimer’s disease linked to several unsaturated fatty acids in the brain: Study

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Cognitive Impairment
Alzheimer's disease patient Isidora Tomaz, 82, sits in an armchair in her house in Lisbon, Portugal. It’s predicted that by 2050, 135 million Americans are going to suffer from mild cognitive impairment, a precursor of Alzheimer's. VOA

London, March 23, 2017: Researchers have found that several unsaturated fatty acids in the brain may be associated with the progression of Alzheimer’s disease.

Alzheimer’s disease is a neurodegenerative disorder, which causes impaired memory, executive function and language. It accounts for 60-80 per cent of total dementia cases worldwide, with over 46 million people suffering from the disease worldwide. The number of patients is estimated to rise to 131.5 million by 2050.

Currently, it is thought that the main reason for developing memory problems in dementia is the presence of two big molecules in the brain called tau and amyloid proteins — that are shown to start accumulating in the brain up to 20 years prior to the onset of the disease.

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However, the findings, published in the journal PLOS Medicine, showed that the metabolism of omega-3 and omega-6 unsaturated fatty acids were significantly decreased in Alzheimer’s brains when compared to brains from healthy patients.

“Our results show a potentially crucial and unexpected role for fats in the onset of dementia. Most surprisingly, we found that a supposedly beneficial omega-3, DHA, actually increased with the progression of the disease,” said Cristina Legido Quigley from King’s College London.

In the study, the team looked at brain tissue samples from 43 people ranging in age from 57 to 95 years old.

The researchers then measured the metabolite levels of the brain regions that are commonly associated with neurodegerative diseases — the middle frontal gyrus and the inferior temporal gyrus — as well as the metabolite levels in a brain area that is not normally affected by the disease’s pathology — the cerebellum.

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The results showed that unsaturated fatty acid metabolism is significantly dysregulated in the brains of patients with varying degrees of Alzheimer pathology.

The main molecules that were different were six small fats — docosahexaenoic acid, linoleic acid, arachidonic acid, linolenic acid, eicosapentaenoic acid, and oleic acid — including omegas, which changed in abundance in different regions of the brain. (IANS)

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Researchers Develop AI Tool To Detect Mental Health Issues

Tracking changes in clinical states is important to detect if there is a change that shows whether the condition has improved or worsened that would warrant the need for changing treatment

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AI
The USC Signal Analysis and Interpretation Lab (SAIL), which has long applied artificial intelligence (AI) and machine learning to identify and classify video, audio and physiological data, partnered with researchers to analyse voice data from patients being treated for serious mental illnesses. Pixabay

Researchers, including one of Indian-origin, have developed an artificial intelligence (AI) tool that can accurately detect changes in clinical states in voice data of patients with bipolar, schizophrenia and depressive disorders as accurately as attending doctors.

“Machine learning allowed us to illuminate the various clinically-meaningful dimensions of language use and vocal patterns of the patients over time and personalised at each individual level,” said Indian-origin researcher and study senior author Shri Narayanan from University of Southern California (USC) in the US.

The USC Signal Analysis and Interpretation Lab (SAIL), which has long applied artificial intelligence and machine learning to identify and classify video, audio and physiological data, partnered with researchers to analyse voice data from patients being treated for serious mental illnesses.

For the results, the researchers used the ‘MyCoachConnect’ interactive voice and mobile tool, created and hosted on the Chorus platform to provide voice diaries related to their mental health states.

SAIL team then collaborated with researchers to apply artificial intelligence to listen to hundreds of voicemails using custom software to detect changes in patients’ clinical states. According to the study, the AI was able to match clinicians’ ratings of their patients.

Tracking changes in clinical states is important to detect if there is a change that shows whether the condition has improved or worsened that would warrant the need for changing treatment, the researchers said.

AI
Researchers, including one of Indian-origin, have developed an artificial intelligence (AI) tool that can accurately detect changes in clinical states in voice data of patients with bipolar, schizophrenia and depressive disorders as accurately as attending doctors. Pixabay

This project builds on SAIL’s body of work in behavioural machine intelligence to analyse psychotherapy sessions to detect empathy of addiction counselors-in-training in order to improve their chances of better outcomes, in addition to the Lab’s work analysing language for cognitive diagnoses and legal processes.

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“Our approach builds on that fundamental technique to hear what people are saying about using the modern AI. We hope this will help us better understand how our patients are doing and transform mental health care to be more personalised and proactive to what an individual needs,” said study lead author Armen Arevian. (IANS)