Diabetes Blood Markers Linked to Alzheimer’s Disease Pathology
|
By LabMedica International staff writers Posted on 09 Sep 2020 |

Image: The Bio-Plex Luminex 200 instrument is a suspension array system which offers protein and nucleic acid scientists a reliable multiplex assay solution that permits analysis of up to 100 biomolecules in a single sample (Photo courtesy of Bio-Rad Laboratories).
Alzheimer's is a progressive disease, where dementia symptoms gradually worsen over a number of years. In its early stages, memory loss is mild, but late-stage Alzheimer's, individuals lose the ability to carry on a conversation and respond to their environment.
Type 2 diabetes is a known risk factor for cognitive impairment and Alzheimer’s disease, but the underlying mechanisms are still unknown. Insulin resistance has been associated with amyloid accumulation in cognitively normal middle-aged and late middle-aged individuals, but not in older age groups.
Neurologists at the University of Eastern Finland (Kuopio, Finland) and their colleagues investigated the association of blood markers of diabetes with beta-amyloid accumulation detected in PET scans in older people at risk of dementia. The study population included 41 participants aged 60 to 77 years from the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) who had available data on insulin resistance and type 2 diabetes-related blood markers.
The team analyzed 12 markers related to glucose and lipid metabolism using the multiplex suspension array system Bio-Plex Luminex 200 instrument, (Bio-Rad Laboratories, Hercules, CA, USA), with the Bio-Plex Pro Human Diabetes 10-plex panel (C-peptide; ghrelin; GIP, gastric inhibitory polypeptide; GLP-1, glucagon-like peptide-1; glucagon; insulin; leptin; PAI-1; resistin; visfatin) and 2-plex panel (adiponectin, adipsin). The homeostatic model assessment of insulin resistance index (HOMA-IR) was calculated based on fasting blood insulin and glucose measures. APOE genotype was also determined.
The scientists reported that the participants’ mean age (±SD) was 71.1 ± 5.0 years, 51% were female, 15% had diabetes, 29% were APOE ɛ4 carriers, and 39% had amyloid positive PiB-PET scans. In the logistic regression model adjusted for diabetes status and APOE genotype, higher levels of insulin, HOMA-IR, C-peptide, and PAI-1were significantly associated with lower odds of amyloid positivity. After FDR correction, these four markers were significant only at the 90% confidence level. The coefficient of PAI-1 was insignificant in models including insulin, HOMA-IR, and C-peptide, but significant for fasting glucose, HbA1c, and all other tested analytes.
Alina Solomon, MD, PhD, an Associate Professor of Clinical Medicine Neurology and the senior author of the study, said, “The results could also suggest that in people with diabetes and vascular pathology, less amyloid accumulation in the brain may be needed to trigger the onset of Alzheimer’s dementia.”
The authors concluded that the main strength of their study was the assessment of a comprehensive assay of IR and type 2 diabetes-related markers in relation to brain amyloid-β accumulation on PiB-PET, which has not been previously done. The study was published on August 18, 2020 in the Journal of Alzheimer’s Disease.
Type 2 diabetes is a known risk factor for cognitive impairment and Alzheimer’s disease, but the underlying mechanisms are still unknown. Insulin resistance has been associated with amyloid accumulation in cognitively normal middle-aged and late middle-aged individuals, but not in older age groups.
Neurologists at the University of Eastern Finland (Kuopio, Finland) and their colleagues investigated the association of blood markers of diabetes with beta-amyloid accumulation detected in PET scans in older people at risk of dementia. The study population included 41 participants aged 60 to 77 years from the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) who had available data on insulin resistance and type 2 diabetes-related blood markers.
The team analyzed 12 markers related to glucose and lipid metabolism using the multiplex suspension array system Bio-Plex Luminex 200 instrument, (Bio-Rad Laboratories, Hercules, CA, USA), with the Bio-Plex Pro Human Diabetes 10-plex panel (C-peptide; ghrelin; GIP, gastric inhibitory polypeptide; GLP-1, glucagon-like peptide-1; glucagon; insulin; leptin; PAI-1; resistin; visfatin) and 2-plex panel (adiponectin, adipsin). The homeostatic model assessment of insulin resistance index (HOMA-IR) was calculated based on fasting blood insulin and glucose measures. APOE genotype was also determined.
The scientists reported that the participants’ mean age (±SD) was 71.1 ± 5.0 years, 51% were female, 15% had diabetes, 29% were APOE ɛ4 carriers, and 39% had amyloid positive PiB-PET scans. In the logistic regression model adjusted for diabetes status and APOE genotype, higher levels of insulin, HOMA-IR, C-peptide, and PAI-1were significantly associated with lower odds of amyloid positivity. After FDR correction, these four markers were significant only at the 90% confidence level. The coefficient of PAI-1 was insignificant in models including insulin, HOMA-IR, and C-peptide, but significant for fasting glucose, HbA1c, and all other tested analytes.
Alina Solomon, MD, PhD, an Associate Professor of Clinical Medicine Neurology and the senior author of the study, said, “The results could also suggest that in people with diabetes and vascular pathology, less amyloid accumulation in the brain may be needed to trigger the onset of Alzheimer’s dementia.”
The authors concluded that the main strength of their study was the assessment of a comprehensive assay of IR and type 2 diabetes-related markers in relation to brain amyloid-β accumulation on PiB-PET, which has not been previously done. The study was published on August 18, 2020 in the Journal of Alzheimer’s Disease.
Latest Pathology News
- ADLM Updates Expert Guidance on Urine Drug Testing for Patients in Emergency Departments
- New Age-Based Blood Test Thresholds to Catch Ovarian Cancer Earlier
- Genetics and AI Improve Diagnosis of Aortic Stenosis
- AI Tool Simultaneously Identifies Genetic Mutations and Disease Type
- Rapid Low-Cost Tests Can Prevent Child Deaths from Contaminated Medicinal Syrups
- Tumor Signals in Saliva and Blood Enable Non-Invasive Monitoring of Head and Neck Cancer
- Common Health Issues Can Influence New Blood Tests for Alzheimer’s Disease
- Blood Test Formula Identifies Chronic Liver Disease Patients with Higher Cancer Risk
- Tunable Cell-Sorting Device Holds Potential for Multiple Biomedical Applications
- AI Tool Outperforms Doctors in Spotting Blood Cell Abnormalities
- AI Tool Rapidly Analyzes Complex Cancer Images for Personalized Treatment
- Diagnostic Technology Performs Rapid Biofluid Analysis Using Single Droplet
- Novel Technology Tracks Hidden Cancer Cells Faster
- AI Tool Improves Breast Cancer Detection
- AI Tool Predicts Treatment Success in Rectal Cancer Patients
- Blood Test and Sputum Analysis Predict Acute COPD Exacerbation
Channels
Molecular Diagnostics
view channel
Sepsis Test Demonstrates Strong Performance in Post-Cardiac Surgery Patients
Sepsis is difficult to diagnose accurately in patients recovering from major surgery, as infection-related symptoms often overlap with non-infectious systemic inflammatory responses. This challenge is... Read more
Next-Gen Automated ELISA System Elevates Laboratory Performance
A next-generation automated ELISA system is designed to elevate laboratory performance through advanced workflow automation, enhanced connectivity, and a modernized user experience. DYNEX Technologies... Read more
At-Home Blood Tests Accurately Detect Key Alzheimer's Biomarkers
Diagnosing Alzheimer’s disease typically relies on brain scans or spinal fluid tests, which are invasive, costly, and difficult to access outside specialist clinics. These barriers have limited large-scale... Read more
Blood Test Combined with MRI Brain Scans Reveals Two Distinct Multiple Sclerosis Types
Multiple sclerosis (MS) affects more than 2.8 million people worldwide, yet predicting how the disease will progress in individual patients remains difficult. Current MS classifications are based on clinical... Read moreHematology
view channel
MRD Tests Could Predict Survival in Leukemia Patients
Acute myeloid leukemia is an aggressive blood cancer that disrupts normal blood cell production and often relapses even after intensive treatment. Clinicians currently lack early, reliable markers to predict... Read more
Platelet Activity Blood Test in Middle Age Could Identify Early Alzheimer’s Risk
Early detection of Alzheimer’s disease remains one of the biggest unmet needs in neurology, particularly because the biological changes underlying the disorder begin decades before memory symptoms appear.... Read more
Microvesicles Measurement Could Detect Vascular Injury in Sickle Cell Disease Patients
Assessing disease severity in sickle cell disease (SCD) remains challenging, especially when trying to predict hemolysis, vascular injury, and risk of complications such as vaso-occlusive crises.... Read more
ADLM’s New Coagulation Testing Guidance to Improve Care for Patients on Blood Thinners
Direct oral anticoagulants (DOACs) are one of the most common types of blood thinners. Patients take them to prevent a host of complications that could arise from blood clotting, including stroke, deep... Read moreImmunology
view channel
Ultrasensitive Liquid Biopsy Demonstrates Efficacy in Predicting Immunotherapy Response
Immunotherapy has transformed cancer treatment, but only a small proportion of patients experience lasting benefit, with response rates often remaining between 10% and 20%. Clinicians currently lack reliable... Read more
Blood Test Could Identify Colon Cancer Patients to Benefit from NSAIDs
Colon cancer remains a major cause of cancer-related illness, with many patients facing relapse even after surgery and chemotherapy. Up to 40% of people with stage III disease experience recurrence, highlighting... Read moreMicrobiology
view channel
New UTI Diagnosis Method Delivers Antibiotic Resistance Results 24 Hours Earlier
Urinary tract infections affect around 152 million people every year, making them one of the most common bacterial infections worldwide. In routine medical practice, diagnosis often relies on rapid urine... Read more
Breakthroughs in Microbial Analysis to Enhance Disease Prediction
Microorganisms shape human health, ecosystems, and the planet’s climate, yet identifying them and understanding how they are related remains a major scientific challenge. Even with modern DNA sequencing,... Read morePathology
view channel
ADLM Updates Expert Guidance on Urine Drug Testing for Patients in Emergency Departments
Urine drug testing plays a critical role in the emergency department, particularly for patients presenting with suspected overdose or altered mental status. Accurate and timely results can directly influence... Read more
New Age-Based Blood Test Thresholds to Catch Ovarian Cancer Earlier
Ovarian cancer affects around one in 50 women during their lifetime, with roughly 7,000 diagnoses each year in the UK. The disease is often detected late because symptoms such as bloating, abdominal pain,... Read moreTechnology
view channel
Pioneering Blood Test Detects Lung Cancer Using Infrared Imaging
Detecting cancer early and tracking how it responds to treatment remains a major challenge, particularly when cancer cells are present in extremely low numbers in the bloodstream. Circulating tumor cells... Read more
AI Predicts Colorectal Cancer Survival Using Clinical and Molecular Features
Colorectal cancer is one of the most common and deadly cancers worldwide, and accurately predicting patient survival remains a major clinical challenge. Traditional prognostic tools often rely on either... Read moreIndustry
view channel
BD and Penn Institute Collaborate to Advance Immunotherapy through Flow Cytometry
BD (Becton, Dickinson and Company, Franklin Lakes, NJ, USA) has entered into a strategic collaboration with the Institute for Immunology and Immune Health (I3H, Philadelphia, PA, USA) at the University... Read more







