Diabetic Retinopathy Linked to Glycemic Variability in Type 2-Diabetes
|
By LabMedica International staff writers Posted on 13 Dec 2018 |

Image: The continuous glucose monitoring (CGM) system (Photo courtesy of Medtronic).
Latent autoimmune diabetes in adults (LADA) refers to adult diabetes patients who are initially non‐insulin requiring, but have type 1 diabetes mellitus‐associated autoantibodies and who often progress to insulin dependency.
LADA manifests as a wide spectrum of heterogeneous clinical and metabolic phenotypes that are midway between those of classic type 1 diabetes mellitus and type 2 diabetes mellitus. It is estimated that LADA accounts for 4% to14% of patients with a diagnosis of type 2 diabetes mellitus.
Scientists affiliated with the Shanghai Jiao Tong University (Shanghai Shi, China) conducted a cross-sectional analysis of 192 adults (mean age, 56.4 years; 47.9% women; mean BMI, 23.2 kg/m2) with LADA and 2,927 adults with type 2 diabetes (mean age, 57.7 years, 57.3% women, mean BMI, 25.1 kg/m2). The participants were consecutively enrolled in the first group and randomly chosen for the second. All participants were recruited from July 2005 to December 2015. All participants were continuously monitored for 72 hours with a retrospective CGM system (Medtronic Inc, Northridge, CA, USA). Fundus photography was then used to confirm diabetic retinopathy (DR).
The investigators found that found that diabetic retinopathy was more common among those with type 2 diabetes than in those with LADA (26.4% versus 20.3%). Diabetic retinopathy was significantly linked to age, diabetes duration, systolic blood pressure, HbA1c and measurements of glycemic variability in participants with type 2 diabetes based on univariate logistic regression. In participants with LADA, diabetes duration, systolic BP and diastolic BP were the lone risk factors for diabetic retinopathy. They also noted that, overall, participants with LADA weighed less, had better BP and lipid profiles as well as higher glycemic variability and lower fasting C-peptide than those with type 2 diabetes.
The authors concluded that their study provided evidence that intraday glycemic variability (GV), as assessed by continuous glucose monitoring (CGM), was associated with the presence of DR in type 2 diabetes mellitus patients, but not in LADA patients, suggesting that GV should be minimized to decrease the risk of DR in type 2 diabetes mellitus, whereas achieving an optimal HbA1c without increasing the risk of hypoglycemia might be the primary goal in the treatment of LADA. The study was first published on October 10, 2018, in the Journal of Diabetes Investigation.
LADA manifests as a wide spectrum of heterogeneous clinical and metabolic phenotypes that are midway between those of classic type 1 diabetes mellitus and type 2 diabetes mellitus. It is estimated that LADA accounts for 4% to14% of patients with a diagnosis of type 2 diabetes mellitus.
Scientists affiliated with the Shanghai Jiao Tong University (Shanghai Shi, China) conducted a cross-sectional analysis of 192 adults (mean age, 56.4 years; 47.9% women; mean BMI, 23.2 kg/m2) with LADA and 2,927 adults with type 2 diabetes (mean age, 57.7 years, 57.3% women, mean BMI, 25.1 kg/m2). The participants were consecutively enrolled in the first group and randomly chosen for the second. All participants were recruited from July 2005 to December 2015. All participants were continuously monitored for 72 hours with a retrospective CGM system (Medtronic Inc, Northridge, CA, USA). Fundus photography was then used to confirm diabetic retinopathy (DR).
The investigators found that found that diabetic retinopathy was more common among those with type 2 diabetes than in those with LADA (26.4% versus 20.3%). Diabetic retinopathy was significantly linked to age, diabetes duration, systolic blood pressure, HbA1c and measurements of glycemic variability in participants with type 2 diabetes based on univariate logistic regression. In participants with LADA, diabetes duration, systolic BP and diastolic BP were the lone risk factors for diabetic retinopathy. They also noted that, overall, participants with LADA weighed less, had better BP and lipid profiles as well as higher glycemic variability and lower fasting C-peptide than those with type 2 diabetes.
The authors concluded that their study provided evidence that intraday glycemic variability (GV), as assessed by continuous glucose monitoring (CGM), was associated with the presence of DR in type 2 diabetes mellitus patients, but not in LADA patients, suggesting that GV should be minimized to decrease the risk of DR in type 2 diabetes mellitus, whereas achieving an optimal HbA1c without increasing the risk of hypoglycemia might be the primary goal in the treatment of LADA. The study was first published on October 10, 2018, in the Journal of Diabetes Investigation.
Latest Clinical Chem. News
- Saliva-Based Test Detects Biochemical Signs of Sleep Loss
- Simple Dual-Tau Blood Test Detects and Stages Alzheimer’s Disease
- Alzheimer’s Blood Biomarkers Linked to Early Cognitive Differences Before Dementia
- Urine-Based Test Shows Promise for Autism Screening in Children
- Blood-Based Sensor Detects Early Signs of Alzheimer’s and Parkinson’s
- Liquid Biopsy Biomarkers May Improve Childhood Epilepsy Diagnosis
- Urine-Based Alzheimer’s Test Receives FDA Breakthrough Device Designation
- Fluid Biomarker Improves Diagnosis and Monitoring of Primary CNS Lymphoma
- New CA19-9 Cutoff Value Helps Identify High-Risk Pancreatic Cancer Patients
- Blood-Based Biomarkers Show Promise for Psychosis Risk Prediction
- International Experts Recommend Ending Routine 'Corrected' Calcium Reporting
- Long-Term Data Show PSA Screening Modestly Reduces Prostate Cancer Deaths
- Urine-Based Nanosensor Tracks Lung Cancer and Fibrosis Noninvasively
- FDA-Cleared Assay Enables Comprehensive Automated Testosterone Testing
- CE-Marked Blood Biomarker Test Advances Automated Alzheimer’s Diagnostics
- Blood-Based Alzheimer’s Test Gains CE Mark for Amyloid Pathology Detection
Channels
Molecular Diagnostics
view channel
Plasma Protein Signature Predicts Lung Cancer Risk Up to Five Years Ahead
Lung cancer remains a leading cause of cancer death, and many cases are detected only after symptoms appear. Current screening programs largely target people with a history of smoking, leaving other at-risk... Read more
Circulating Tumor DNA Testing Guides Chemotherapy, Reduces Relapse in Colon Cancer
Adjuvant therapy decisions after curative surgery for colon cancer remain difficult, as conventional clinicopathologic factors often fail to capture residual disease risk. Liquid biopsy approaches that... Read moreHematology
view channel
Next-Generation Hematology Platform Streamlines High-Complexity Lab Workflows
Sysmex America (Chicago, IL, USA) has introduced the next generation XR-Series, centered on the XR-10 Automated Hematology Module for high-complexity laboratories. The platform builds on the widely used... Read more
Blood Eosinophil Count May Predict Cancer Immunotherapy Response and Toxicity
Immune checkpoint inhibitors have improved outcomes across many cancers, yet only a subset of patients derive durable benefit and biomarkers to guide treatment remain limited. Eosinophils, best known for... Read moreImmunology
view channelAptamer-Based Biosensor Enables Mutation-Resilient SARS-CoV-2 Detection
Rapid evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can undermine existing molecular diagnostics, especially when assays target small viral components. Double-antibody sandwich... Read more
Study Points to Autoimmune Pathway Behind Long COVID Symptoms
Long COVID leaves many SARS-CoV-2 survivors with persistent fatigue, cognitive issues, palpitations, and musculoskeletal pain for months or years. Estimates cited in new research suggest 4%–20% of infected... Read more
Metabolic Biomarker Distinguishes Latent from Active Tuberculosis and Tracks Treatment Response
Tuberculosis (TB) remains the world’s leading infectious killer, with 10.8 million cases and 1.25 million deaths recorded globally in 2023. Yet many infected individuals never develop active disease, underscoring... Read moreMicrobiology
view channel
Gut Microbiome Signatures Help Identify Risk of IBD Progression
Inflammatory bowel disease (IBD), encompassing Crohn’s disease and ulcerative colitis, is a chronic relapsing inflammatory disorder of the gastrointestinal tract with highly variable outcomes.... Read more
FDA-Cleared Gastrointestinal Panel Detects 24 Pathogen Targets
Clinical guidelines support testing based on patient presentation in suspected gastrointestinal infections, yet available technologies have often forced laboratories to choose between panels that are too... Read morePathology
view channel
3D Spatial Multi-Omics Maps Intra-Tumor Diversity in Colorectal Cancer
Colorectal cancer remains a leading cause of cancer death, and clinical decision-making is complicated by marked intra-tumor heterogeneity. Conventional bulk sequencing averages molecular signals across... Read more
Blood-Based Method Tracks Gene Activity in the Living Brain
Real-time measurement of gene activity in the brain has been limited by assays requiring destructive tissue sampling. Tracking active genes could reveal how the body responds to environmental factors,... Read moreTechnology
view channel
AI Platform Links Biomarker Results to Cancer Clinical Trials and Guidelines
Oncology teams must manage growing volumes of genomic data, rapidly evolving clinical trial options, and frequently updated care guidelines, all within tight clinic schedules. Translating complex tumor... Read more
Agentic AI Platform Supports Genomic Decision-Making in Oncology
Oncology care teams increasingly face the challenge of managing complex molecular diagnostics, evolving treatment options, and extensive electronic health record documentation. Translating multimodal data... Read moreIndustry
view channel




.jpg)



