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Related Concept Videos

Dementia01:30

Dementia

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Dementia is a collective term for cognitive disorders primarily affecting memory, thinking, and reasoning. It is not a specific disease but a syndrome, with Alzheimer's disease being the most common cause, accounting for approximately 60-80% of cases. Other types include vascular dementia, Lewy body dementia, and frontotemporal dementia. Dementia affects millions worldwide, particularly older adults, though it is not a normal part of aging.
The progression of dementia is generally gradual....
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Overview of Carbohydrate Metabolism01:19

Overview of Carbohydrate Metabolism

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Carbohydrate metabolism is a fundamental biochemical process that ensures a constant supply of energy to living cells. The most important carbohydrate is glucose, which can be broken down via glycolysis to enter into the Krebs cycle and eventually lead to the production of ATP through oxidative phosphorylation.
Glucose transport into cells is facilitated by a family of transport proteins called GLUT (Glucose Transporters). GLUT4 is the primary glucose transporter for insulin-stimulated glucose...
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Pathophysiology of Diabetes01:20

Pathophysiology of Diabetes

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Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia. The four categories of diabetes are type 1 diabetes, type 2 diabetes, other specific types of diabetes, and gestational diabetes.
Type 1 diabetes is characterized by autoimmune-mediated destruction of pancreatic β cells, with environmental factors potentially triggering this process in genetically susceptible individuals. Despite many not having a family history, certain genes increase susceptibility,...
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Psychoneuroimmunology: Diabetes and Cancer01:19

Psychoneuroimmunology: Diabetes and Cancer

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Chronic stress has been linked to both the onset and progression of serious health conditions, including Type 2 diabetes and cancer. Type 2 diabetes, a widespread chronic illness, is closely associated with obesity and insulin resistance, both of which often worsen under stress. Studies indicate that men experiencing high levels of chronic stress face a 45% higher risk of developing diabetes compared to those with minimal stress. Stress triggers physiological responses that elevate blood...
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Alzheimer's Disease: Overview01:26

Alzheimer's Disease: Overview

449
Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
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Diabetes: Symptoms, Diagnosis, and Complications01:15

Diabetes: Symptoms, Diagnosis, and Complications

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For most patients, experiencing several weeks of polyuria, polydipsia, fatigue, and significant weight loss may indicate the presence of diabetes. Furthermore, adults displaying the phenotypic appearance of type 2 diabetes (particularly those who are obese and not initially insulin-requiring), may have islet cell autoantibodies, suggesting autoimmune-mediated β cell destruction and a diagnosis of latent autoimmune diabetes of adults (LADA). The categorization of glucose homeostasis is...
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Related Experiment Video

Updated: Jun 10, 2025

Osmotic Minipump Implantation for Increasing Glucose Concentration in Mouse Cerebrospinal Fluid
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Relationship Between Dementia and Systemic Metabolic Disorders.

Kaoru Sakatani1,2

  • 1Institute of Gerontology, The University of Tokyo, Tokyo, Japan. k.sakatani@edu.k.u-tokyo.ac.jp.

Advances in Experimental Medicine and Biology
|October 14, 2024
PubMed
Summary

Routine blood tests can predict cognitive decline and brain atrophy using deep learning. This research highlights the link between metabolic disorders and dementia risk, paving the way for early assessment and personalized interventions.

Keywords:
Alzheimer’s diseaseAtherosclerosisBlood testsCognitive declineDeep learning

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Area of Science:

  • Neuroscience
  • Metabolic Health
  • Artificial Intelligence

Background:

  • Systemic metabolic disorders are increasingly linked to cognitive decline and dementia, including Alzheimer's disease.
  • Vascular impairments, malnutrition, and anemia are suspected contributing factors.
  • A holistic approach, similar to traditional Chinese medicine, views brain disorders as systemic.

Purpose of the Study:

  • To develop a deep learning model for predicting cognitive function (MMSE scores) and brain atrophy (BHQ scores).
  • To assess the feasibility of using routine blood tests and age for dementia risk assessment.
  • To explore the potential for personalized dietary interventions based on blood test results.

Main Methods:

  • Deep learning model trained on 2897 cases from rehabilitation hospital and health screenings.
  • Input data included basic blood tests and patient age.
  • Model predicted Mini-Mental State Examination (MMSE) scores and Brain Healthcare Quotient (BHQ) scores.

Main Results:

  • The deep learning model accurately estimated MMSE and BHQ scores.
  • Key predictors identified were age, nutritional status indicators, and organ function markers.
  • Strong correlation found between systemic metabolic health and cognitive function/brain atrophy.

Conclusions:

  • Routine blood tests, combined with deep learning, show promise for dementia risk assessment.
  • Findings reinforce the connection between systemic metabolic disorders and cognitive health.
  • Personalized dietary strategies can be developed based on blood test anomalies for dementia prevention.