Ratio of Serum Very-long-chain to Long-chain Ceramides Is Predictive of Dementia Risk
By LabMedica International staff writers Posted on 24 Feb 2020 |

Image: Ceramide structure: R represents the alkyl portion of a fatty acid (Photo courtesy of Wikimedia Commons)
Results obtained by a large community-based study showed that the ratio of very long‐chain to long‐chain ceramides in the blood was associated with risk of developing various types of dementia including Alzheimer's disease (AD).
Ceramides are a family of waxy lipid molecules composed of sphingosine and a fatty acid. Ceramides are found in high concentrations within the cell membrane of eukaryotic cells, since they are component lipids that make up sphingomyelin, one of the major lipids in the lipid bilayer. Contrary to previous assumptions that ceramides and other sphingolipids found in cell membranes were purely supporting structural elements, ceramides have been shown to participate in a variety of cellular signalling roles: examples include regulating differentiation, proliferation, and programmed cell death.
Recently, attention has focused on the role of circulating ratios of a very‐long‐chain (C24:0, C22:0) to long‐chain (C16:0) ceramides as biomarkers for major vascular events and the possibility that these ratios may be of greater diagnostic and prognostic value for cardiovascular outcomes compared to total ceramide levels or concentrations of individual ceramide species. Furthermore, it has been hypothesized that the adverse cognitive effects of ceramides may be related to the relative proportions of circulating very long‐chain to long‐chain fatty acyl chains rather than simply due to elevated total ceramide levels.
To examine this hypothesis, investigators at Brigham and Women's Hospital (Boston, MA, USA) compared levels of very-long chain and long-chain ceramides in blood samples from 1,892 participants (mean age 70.1 years) in the Framingham Heart Study Offspring cohort. The investigators analyzed the risk of dementia, MRI structural measures of vascular brain injury, and beta-amyloid burden on brain PET (positron emission tomography) scans.
Results revealed that during a median 6.5 year follow‐up, 81 participants developed dementia, of whom 60 were diagnosed with AD dementia. Each standard deviation (SD) increment in the ratio of ceramides C24:0/C16:0 was associated with a 27% reduction in the risk of dementia and AD dementia. The ratio of ceramides C22:0/C16:0 was also inversely associated with incident dementia.
Very-long-chain fatty acyl ceramides are important for myelin function and may have a protective effect against dementia, while long-chain ceramide species are linked with deleterious pro-inflammatory and apoptotic effects. Therefore, circulating ceramide ratios may serve as potential biomarkers for predicting dementia risk in cognitively healthy adults.
"Our findings indicate that circulating ceramide ratios may be useful predictors of future dementia risk and may have a role in predicting dementia at an early, preclinical stage, when the greatest opportunity for disease modification exists," said first author Dr. Emer McGrath, associate neurologist in the department of neurology at Brigham and Women's Hospital. "However, these results will require replication in other cohorts."
The study was published in the January 16, 2020, online edition of the journal Annals of Clinical and Translational Neurology.
Related Links:
Brigham and Women's Hospital
Ceramides are a family of waxy lipid molecules composed of sphingosine and a fatty acid. Ceramides are found in high concentrations within the cell membrane of eukaryotic cells, since they are component lipids that make up sphingomyelin, one of the major lipids in the lipid bilayer. Contrary to previous assumptions that ceramides and other sphingolipids found in cell membranes were purely supporting structural elements, ceramides have been shown to participate in a variety of cellular signalling roles: examples include regulating differentiation, proliferation, and programmed cell death.
Recently, attention has focused on the role of circulating ratios of a very‐long‐chain (C24:0, C22:0) to long‐chain (C16:0) ceramides as biomarkers for major vascular events and the possibility that these ratios may be of greater diagnostic and prognostic value for cardiovascular outcomes compared to total ceramide levels or concentrations of individual ceramide species. Furthermore, it has been hypothesized that the adverse cognitive effects of ceramides may be related to the relative proportions of circulating very long‐chain to long‐chain fatty acyl chains rather than simply due to elevated total ceramide levels.
To examine this hypothesis, investigators at Brigham and Women's Hospital (Boston, MA, USA) compared levels of very-long chain and long-chain ceramides in blood samples from 1,892 participants (mean age 70.1 years) in the Framingham Heart Study Offspring cohort. The investigators analyzed the risk of dementia, MRI structural measures of vascular brain injury, and beta-amyloid burden on brain PET (positron emission tomography) scans.
Results revealed that during a median 6.5 year follow‐up, 81 participants developed dementia, of whom 60 were diagnosed with AD dementia. Each standard deviation (SD) increment in the ratio of ceramides C24:0/C16:0 was associated with a 27% reduction in the risk of dementia and AD dementia. The ratio of ceramides C22:0/C16:0 was also inversely associated with incident dementia.
Very-long-chain fatty acyl ceramides are important for myelin function and may have a protective effect against dementia, while long-chain ceramide species are linked with deleterious pro-inflammatory and apoptotic effects. Therefore, circulating ceramide ratios may serve as potential biomarkers for predicting dementia risk in cognitively healthy adults.
"Our findings indicate that circulating ceramide ratios may be useful predictors of future dementia risk and may have a role in predicting dementia at an early, preclinical stage, when the greatest opportunity for disease modification exists," said first author Dr. Emer McGrath, associate neurologist in the department of neurology at Brigham and Women's Hospital. "However, these results will require replication in other cohorts."
The study was published in the January 16, 2020, online edition of the journal Annals of Clinical and Translational Neurology.
Related Links:
Brigham and Women's Hospital
Latest Molecular Diagnostics News
- Blood Biomarker Test Could Detect Genetic Predisposition to Alzheimer’s
- Novel Autoantibody Against DAGLA Discovered in Cerebellitis
- Blood Test Could Identify Patients at Risk for Severe Scleroderma
- Gene-Based Blood Test Accurately Predicts Tumor Recurrence of Advanced Skin Cancer
- Rapid Blood Test Identifies Pre-Symptomatic Patients with Parkinson’s Disease
- Blood Test for Early Alzheimer's Detection Achieves Over 90% Accuracy
- RNA-Based Blood Test Detects Preeclampsia Risk Months Before Symptoms
- First Of Its Kind Test Uses microRNAs to Predict Toxicity from Cancer Therapy
- Novel Cell-Based Assay Provides Sensitive and Specific Autoantibody Detection in Demyelination
- Novel Point-of-Care Technology Delivers Accurate HIV Results in Minutes
- Blood Test Rules Out Future Dementia Risk
- D-Dimer Testing Can Identify Patients at Higher Risk of Pulmonary Embolism
- New Biomarkers to Improve Early Detection and Monitoring of Kidney Injury
- Chemiluminescence Immunoassays Support Diagnosis of Alzheimer’s Disease
- Blood Test Identifies Multiple Biomarkers for Rapid Diagnosis of Spinal Cord Injury
- Highly Accurate Blood Test Diagnoses Alzheimer’s and Measures Dementia Progression
Channels
Clinical Chemistry
view channel
‘Brilliantly Luminous’ Nanoscale Chemical Tool to Improve Disease Detection
Thousands of commercially available glowing molecules known as fluorophores are commonly used in medical imaging, disease detection, biomarker tagging, and chemical analysis. They are also integral in... Read more
Low-Cost Portable Screening Test to Transform Kidney Disease Detection
Millions of individuals suffer from kidney disease, which often remains undiagnosed until it has reached a critical stage. This silent epidemic not only diminishes the quality of life for those affected... Read more
New Method Uses Pulsed Infrared Light to Find Cancer's 'Fingerprints' In Blood Plasma
Cancer diagnoses have traditionally relied on invasive or time-consuming procedures like tissue biopsies. Now, new research published in ACS Central Science introduces a method that utilizes pulsed infrared... Read moreHematology
view channel
New Scoring System Predicts Risk of Developing Cancer from Common Blood Disorder
Clonal cytopenia of undetermined significance (CCUS) is a blood disorder commonly found in older adults, characterized by mutations in blood cells and a low blood count, but without any obvious cause or... Read more
Non-Invasive Prenatal Test for Fetal RhD Status Demonstrates 100% Accuracy
In the United States, approximately 15% of pregnant individuals are RhD-negative. However, in about 40% of these cases, the fetus is also RhD-negative, making the administration of RhoGAM unnecessary.... Read moreImmunology
view channel
Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer
Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more
Machine Learning-Enabled Blood Test Predicts Immunotherapy Response in Lymphoma Patients
Chimeric antigen receptor (CAR) T-cell therapy has emerged as one of the most promising recent developments in the treatment of blood cancers. However, over half of non-Hodgkin lymphoma (NHL) patients... Read moreMicrobiology
view channel
Handheld Device Delivers Low-Cost TB Results in Less Than One Hour
Tuberculosis (TB) remains the deadliest infectious disease globally, affecting an estimated 10 million people annually. In 2021, about 4.2 million TB cases went undiagnosed or unreported, mainly due to... Read more
New AI-Based Method Improves Diagnosis of Drug-Resistant Infections
Drug-resistant infections, particularly those caused by deadly bacteria like tuberculosis and staphylococcus, are rapidly emerging as a global health emergency. These infections are more difficult to treat,... Read more
Breakthrough Diagnostic Technology Identifies Bacterial Infections with Almost 100% Accuracy within Three Hours
Rapid and precise identification of pathogenic microbes in patient samples is essential for the effective treatment of acute infectious diseases, such as sepsis. The fluorescence in situ hybridization... Read morePathology
view channel
Novel UV and Machine Learning-Aided Method Detects Microbial Contamination in Cell Cultures
Cell therapy holds great potential in treating diseases such as cancers, inflammatory conditions, and chronic degenerative disorders by manipulating or replacing cells to restore function or combat disease.... Read more
New Error-Corrected Method to Help Detect Cancer from Blood Samples Alone
"Liquid biopsy" technology, which relies on blood tests for early cancer detection and monitoring cancer burden in patients, has the potential to transform cancer care. However, detecting the mutational... Read more
"Metal Detector" Algorithm Hunts Down Vulnerable Tumors
Scientists have developed an algorithm capable of functioning as a "metal detector" to identify vulnerable tumors, marking a significant advancement in personalized cancer treatment. This breakthrough... Read more
Novel Technique Uses ‘Sugar’ Signatures to Identify and Classify Pancreatic Cancer Cell Subtypes
Pancreatic cancer is often asymptomatic in its early stages, making it difficult to detect until it has progressed. Consequently, only 15% of pancreatic cancers are diagnosed early enough to allow for... Read moreTechnology
view channel
Pain-On-A-Chip Microfluidic Device Determines Types of Chronic Pain from Blood Samples
Chronic pain is a widespread condition that remains difficult to manage, and existing clinical methods for its treatment rely largely on self-reporting, which can be subjective and especially problematic... Read more
Innovative, Label-Free Ratiometric Fluorosensor Enables More Sensitive Viral RNA Detection
Viruses present a major global health risk, as demonstrated by recent pandemics, making early detection and identification essential for preventing new outbreaks. While traditional detection methods are... Read moreIndustry
view channel
Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions
Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Grifols and Tecan’s IBL Collaborate on Advanced Biomarker Panels
Grifols (Barcelona, Spain), one of the world’s leading producers of plasma-derived medicines and innovative diagnostic solutions, is expanding its offer in clinical diagnostics through a strategic partnership... Read more