Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Methods for the detection and quantification of circulating endothelial cells

A technology for circulating endothelial cells and nuclei, applied in the field of identification and quantification of circulating endothelial cells, can solve the problems of lack of detection sensitivity and specificity in CEC capture methods

Pending Publication Date: 2016-11-30
THE SCRIPPS RES INST
View PDF1 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Furthermore, CEC capture methods often suffer from a lack of detection sensitivity and specificity

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Methods for the detection and quantification of circulating endothelial cells
  • Methods for the detection and quantification of circulating endothelial cells
  • Methods for the detection and quantification of circulating endothelial cells

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0089] Example 1. CEC identification and characterization using the HD-CEC assay

[0090] This experiment demonstrates that CEC cells can be characterized and identified using a combination of immunofluorescent markers and morphological features. The HD-CEC assay uses immunofluorescence and morphometric measurements to quantify, for example, the small number of CECs present in large numbers of WBCs in human blood.

[0091] Patient Selection and Blood Sample Collection

[0092] Recruited in 5 hospitals relatively close to the Scripps Research Institute Central Laboratory Scripps-Green Hospital, Scripps Mercy Hospital, Sharp Memorial, Sharp Grossmont and New Palomar Pomerado Hospital Patients recruited in this study. Institutional Review Board (IRB) approval was obtained from all recruiting networks, and all patients gave signed informed consent. Samples were collected from patients with suspected MI at the time of emergency room appearance and subsequently destroyed if the p...

example 2

[0104] Example 2. CEC counts of blood samples determined using HD-CEC

[0105] This experiment illustrates that the HD-CEC assay can be used quantitatively to obtain CEC counts in the blood of eg healthy humans and human patients (eg MI patients).

[0106] We collected and analyzed 79 peripheral blood draws from 79 MI patients; 28 blood samples were drawn into the Streck BCT and 51 into the EDTA BCT. We also collected a total of 34 blood samples from 25 healthy controls; 14 samples were drawn into the Streck BCT and 20 into the EDTA BCT (see Table 1).

[0107] Table 1. Results of CEC enumeration in blood samples of MI patients and healthy controls

[0108]

[0109] Sample size was broken down by study group and blood collection tube (BCT). Mean and median values ​​and upper / lower quartiles are listed for each subject group in the study.

[0110] There were no significant differences in CEC counts detected in MI patients whose blood was drawn into EDTA and Streck tubes (P...

example 3

[0114] Example 3. Detection and Characterization of CEC Aggregates Using the HD-CEC Assay

[0115] This experiment exemplifies that the HD-CEC assay can detect CEC not only as single cells, but also in the form of CEC aggregates.

[0116] Not only CECs were found as single cells. CEC images of many MI patients often contain several nuclei (blue) associated with one cell body indicated by sequential double positive CD146 (red) and vWF (white) staining of the cytoplasm ( Figure 4 a) and b)). These images represent aggregates of damaged cells that are released into the circulation during plaque rupture.

[0117] Two or more CEC aggregates were detected in 65 of 79 MI patients; of these, 53 (81.5%) were found to have CEC aggregates, two or more cells exhibiting nuclear and / or cytoplasmic contacts . A measure of the percentage of CECs in aggregates (ie, total number of CECs in aggregates / total number of CECs) was found to be 46.3% ± 23.1% of CECs residing in aggregates in MI p...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The disclosure provides methods for detecting circular endothelial cells (CECs) in a non- enriched blood sample. The present disclosure is based, in part, on the unexpected discovery that CECs can be detected in non-enriched blood samples. The present disclosure is further based, in part, on the discovery that CECs can be detected in non-enriched blood samples by combining the detection of one or more immunofluorescent markers in the nucleated cells of a non-enriched blood sample with an assessment of the morphology of the nucleated cells. The present disclosure is further based, in part, on the discovery that CECs can be detected in non-enriched blood samples by comparing the immunofluorescent marker staining and morphological characteristics of CECs with the immunofluorescent marker staining and morphological characteristics of WBCs. The methods disclosed herein serve to classify human subject in myocardial infarction (MI) patients or healthy controls.

Description

technical field [0001] The present disclosure relates generally to diagnostic methods for myocardial infarction (MI), and more specifically to methods for the identification and quantification of circulating endothelial cells (CEC). Background technique [0002] Coronary artery disease is a leading cause of morbidity and mortality worldwide. Early detection of cardiovascular events is considered extremely important for disease prevention and treatment in patients. However, it is well known that many cardiovascular events are unpredictable. Especially acute myocardial infarction, which involves the rupture of an atherosclerotic plaque in the patient's arterial wall. Accordingly, there is a significant unmet need for new methods of identifying individuals at high risk of impending cardiovascular events, such as heart attack or stroke, prior to clinical disease manifestation. [0003] Recently, circulating endothelial cells (CECs) have emerged as promising biomarker candidat...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): C12N5/071C12N5/07C12N5/10
CPCG01N2800/324G01N33/6887G01N2333/70503G01N2333/70589G01N2333/745
Inventor 彼得·库恩马德琳·卢特根安纳德·科拉特卡尔
Owner THE SCRIPPS RES INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products