We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Laboratory Model Reveals Genetic Risk Loci for AMD

By LabMedica International staff writers
Posted on 20 May 2019
Image: A micrograph showing retinal cells derived from a patient\'s skin cells, via induced pluripotent stem cells. The cells are organized in a polygonal shape and have taken on characteristic pigmentation (Photo courtesy of the University of California, San Diego).
Image: A micrograph showing retinal cells derived from a patient\'s skin cells, via induced pluripotent stem cells. The cells are organized in a polygonal shape and have taken on characteristic pigmentation (Photo courtesy of the University of California, San Diego).
Eye disease researchers used advanced stem cell technology to create a laboratory model of age-related macular degeneration (AMD), which enabled in-depth analysis of the genetics underlying the syndrome.

AMD, one of the most common causes of vision loss in the elderly, causes the slow degradation of the cells comprising the macula of the retina, which is the region in the back of the eye that transmits information to the brain. The exact cause of the disease is unknown, but studies have suggested that genetics plays an important role.

To define the role of genetic risk in AMD, investigators at the University of California, San Diego (USA) created an in vitro model based on human induced pluripotent stem cell-derived retinal pigment epithelium (iPSC-RPE) cells from six subjects. To do this, they generated iPSCs from skin cells, and then used a cocktail of molecules and growth factors to transform the iPSCs into retinal cells. The induced RPEs were found to have morphological and molecular characteristics similar to those of native RPE.

The model system was used to generate molecular data, including RNA transcripts and epigenetic information. These findings were combined with complementary published data from 18 adults with and without AMD.

Results revealed that the genetic variant most closely associated with AMD was rs943080, a specific genetic variation that affected expression of the VEGFA (vascular endothelial growth factor A) gene, possibly through regulation by a non-coding region of the genome. Five of the six participants had one copy of rs943080 and one person had two copies of the gene variant. VEGFA protein is known for supporting new blood vessel growth, a process that characterizes AMD.

"We did not start with the VEGFA gene when we went looking for genetic causes of AMD," said senior author Dr. Kelly A. Frazer, professor of pediatrics at the University of California, San Diego. "But we were surprised to find that, with samples from just six people, this genetic variation clearly emerged as a causal factor."

The authors concluded that their results had established a molecular hypothesis for the VEGFA genetic risk locus in AMD and illustrated the potential of iPSC-RPE as a model system to study the molecular function of genetic variation associated with AMD.

The AMD stem cell study was published in the May 9, 2019, online edition of the journal Stem Cell Reports.

Related Links:
University of California, San Diego

Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
Gold Member
Quantitative POC Immunoassay Analyzer
EASY READER+
POC Immunoassay Analyzer
Procise DX
Chromogenic Culture System
InTray™ COLOREX™ ECC

Channels

Molecular Diagnostics

view channel
Image: The researchers Manel Pérez Pons y Carlos Rodriguez Muñoz at the IRBLleida laboratory (Photo courtesy of IRBLleida)

New Blood RNA Markers Help Advance Precision Medicine for Respiratory Patients

Risk stratification in hospitalized respiratory disease, particularly among older adults with COVID-19, remains challenging despite rich clinical datasets. Blood-based non-coding RNA biomarkers are promising,... Read more

Microbiology

view channel
Image: The “broth” used to monitor red blood cell depletion in whole blood spiked with one colony-forming-unit of E. coli bacteria, each incubated at different orbital shaking speeds—left to right: 0 RPM, 65 RPM, 120 RPM and 200 RPM—after four hours of incubation. This culturing raises a bacteria-rich, plasma-like layer of bacteria to the top of the vials, while clusters of stuck blood cells known as a Rouleaux formation sink to the bottom. (Image Credit: Pak Kin Wong)

New Diagnostic Workflow Identifies Bloodstream Pathogens and Antibiotic Response in Hours

Sepsis is a life-threatening complication of infection that affects more than 1.5 million patients annually in the United States and contributes to roughly one in three in-hospital deaths.... Read more

Pathology

view channel
Image: Researchers evaluated AI models that quantify tumor-infiltrating lymphocytes (TIL) on routine breast tissue slides, where higher TIL levels reflect stronger antitumor response and improved breast cancer outcomes (Image Credit: Shutterstock)

AI Matches Pathologists in Predicting Breast Cancer Prognosis from Immune Cells

Breast cancer is the most common cancer in Australian women, with more than 20,000 cases each year. Prognosis can be informed by counting tumor-infiltrating lymphocytes (TILs) on routine pathology slides,... Read more

Industry

view channel
Image: RaDaR ST uses a tumor-informed approach that identifies up to 48 patient-specific variants through whole-exome sequencing and tracks those variants in plasma to detect circulating tumor DNA (ctDNA) at very low variant allele fractions (VAFs) (Photo courtesy of Neogenomics)

Tumor-Informed MRD Assay Gains Medicare Coverage for Immunotherapy Monitoring

NeoGenomics’ RaDaR ST molecular residual disease (MRD) assay has received expanded coverage from the Centers for Medicare & Medicaid Services’ Molecular Diagnostic Services Program (MolDX) for monitoring... Read more