NAU scientists in a lab analyzing a non-invasive blood sample for early Alzheimer’s detection via brain glucose microvesicles.
NAU scientists in a lab analyzing a non-invasive blood sample for early Alzheimer’s detection via brain glucose microvesicles.
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NAU researchers test non-invasive blood method for early Alzheimer’s detection

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Scientists at Northern Arizona University are developing a non-invasive blood test that could help detect Alzheimer’s disease before symptoms appear by examining how the brain uses glucose through tiny blood-borne microvesicles. Led by assistant professor Travis Gibbons and supported in part by the Arizona Alzheimer’s Association, the project aims to enable earlier diagnosis and intervention, similar to how doctors manage cardiovascular disease.

Researchers at Northern Arizona University (NAU) are advancing a new method to identify Alzheimer’s disease at very early stages by studying how the brain metabolizes glucose, according to NAU communications and a summary on ScienceDaily.

The project is led by Travis Gibbons, an assistant professor in NAU’s Department of Biological Sciences, and is supported in part by a grant from the Arizona Alzheimer’s Association. The research centers on the brain’s metabolism of glucose, the main fuel for thinking, movement and emotion.

“The brain is like a muscle,” Gibbons said in an NAU news release. “It needs fuel to do work, and its gasoline is blood glucose. A healthy brain is greedy; it burns through glucose fast. But brain metabolism is slower when you have Alzheimer’s. It can be viewed as a canary in the coal mine in the development of the disease.”

Because the brain is difficult to access directly, measuring its glucose use has historically required invasive procedures. In earlier studies, scientists sometimes threaded catheters into veins in a patient’s neck to sample blood as it exited the brain — a technique that is not practical for routine screening.

To address this challenge, Gibbons and his team are using commercially available kits to isolate and analyze microvesicles — tiny particles circulating in the bloodstream. Some of these microvesicles originate in neurons and carry molecular cargo that reflects brain metabolism. “Some of these microvesicles originate in a neuron in your brain, and they’re like messengers carrying cargo,” Gibbons explained. “With these test kits, we can find what kind of cargo is in a microvesicle and run tests on it. It’s been described as a biopsy for the brain, but much less invasive. That’s the appeal of it.”

The technique is still in development but is being positioned as a potential way to detect and monitor Alzheimer’s disease through a simple blood draw rather than more invasive procedures. NAU reports that the approach is technically complex and requires careful laboratory work, but the potential clinical impact is significant.

Gibbons’s current work builds on an earlier study in which his team administered insulin intranasally — a route that allows more of the hormone to reach the brain than traditional injections. After treatment, the researchers sampled blood exiting participants’ brains and identified biomarkers associated with improved neuroplasticity. The new project is focused on detecting those same brain-related markers in circulating microvesicles, which could remove the need to sample blood directly from veins near the brain.

According to NAU, the research is unfolding in stages. First, the team is validating the method in healthy volunteers. Next, they plan to compare results among people with mild cognitive impairment and those diagnosed with Alzheimer’s disease, with the goal of tracking disease progression through changes in brain glucose metabolism reflected in the microvesicles.

The study team includes Gibbons, a member of the Arizona Alzheimer’s Consortium; Emily Cope, an NAU associate professor of biological sciences and fellow consortium member; NAU biological sciences Ph.D. student K. Riley Connor; and Philip Ainslie, a professor at the University of British Columbia’s Centre for Heart, Lung & Vascular Health.

“Brain function is notoriously hard to measure, but we’re getting better and better at interrogating brain function through biomarkers,” Gibbons said. He added that, if the approach proves successful, clinicians might one day be able to help people protect brain health and reduce Alzheimer’s risk in ways comparable to cardiovascular prevention — for example, through moderate exercise and healthy diet recommendations — potentially easing the burden of the disease on aging individuals and society.

संबंधित लेख

Realistic split-image illustration showing obesity-linked faster rise in Alzheimer’s blood biomarkers versus normal weight, highlighting blood tests detecting changes earlier than brain scans.
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Obesity linked to faster rise in Alzheimer’s blood biomarkers, study finds

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New research finds that blood biomarkers associated with Alzheimer’s disease increase significantly faster in people with obesity than in those without. Drawing on five years of data from 407 volunteers, the study suggests that blood tests can detect obesity‑related changes earlier than brain scans, underscoring obesity as a major modifiable risk factor for Alzheimer’s.

New research from the University of Southern California suggests that subtle declines in brain blood flow and oxygen delivery may be early indicators of Alzheimer's disease. The study, published in Alzheimer's and Dementia, used noninvasive scans to connect vascular health with amyloid plaques and hippocampal shrinkage. These findings highlight the role of brain circulation in the disease process beyond traditional markers like amyloid and tau.

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European scientists have developed a preliminary method to identify Alzheimer's using a drop of dried blood from a finger, achieving 86% accuracy in detecting amyloid pathology. The study, validated in 337 patients from several countries, is published in Nature Medicine and aims to simplify early diagnosis of this disease affecting over 50 million people worldwide.

Researchers at Harvard University have identified what may be a network of lymphatic-like vessels inside the brain that could help remove waste fluid. The finding, made while studying Alzheimer's disease in mice, raises possibilities for understanding neurodegenerative conditions. If confirmed, it could shift how scientists view brain function and diseases like Alzheimer's.

AI द्वारा रिपोर्ट किया गया तथ्य-जाँच किया गया

Researchers at the University of California, Irvine report that a machine-learning system called SIGNET can infer cause-and-effect links between genes in human brain tissue, revealing extensive rewiring of gene regulation—especially in excitatory neurons—in Alzheimer’s disease.

भारतीय विज्ञान संस्थान (आईआईएससी), बेंगलुरु के ब्रेन रिसर्च सेंटर के निदेशक प्रोफेसर केवीएस हरि ने डिजिटल बायोमार्कर्स के माध्यम से डिमेंशिया की शुरुआती पहचान और रोकथाम पर जोर दिया है। उन्होंने कहा कि भारत में उम्रदराज आबादी तेजी से बढ़ रही है, जिससे डिमेंशिया एक बड़ी सार्वजनिक स्वास्थ्य चुनौती बन रही है। सेंटर का फोकस डेटा संग्रह और एआई का उपयोग करके भारतीय संदर्भ में बीमारी की प्रगति को समझना है।

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A large study of nearly 2 million older adults has found that cerebral amyloid angiopathy, a condition where amyloid proteins build up in brain blood vessels, sharply increases the risk of dementia. Within five years of diagnosis, people with this disorder were four times more likely to develop dementia than those without it, even absent a history of stroke. The findings, drawn from Medicare records, underscore the need for early cognitive screening in affected individuals.

 

 

 

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