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

Novel gene classifiers and uses thereof in autoimmune diseases

a technology of autoimmune diseases and gene classifiers, applied in the field of autoimmune diseases, can solve problems such as the burden of healthcare in the global arena, and achieve the effect of increasing the level of treatmen

Pending Publication Date: 2020-10-01
DERMTECH INC
View PDF2 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The patent text describes methods for detecting the presence of autoimmune diseases, such as psoriasis, lupus, and atopic dermatitis, based on the molecular risk factors of certain genes. The methods involve isolating nucleic acids from a skin sample and detecting the expression levels of specific genes by contacting them with a set of probes. These methods can help to diagnose and monitor the progression of these diseases, and can also be used to develop treatments for them.

Problems solved by technology

Skin diseases are some of the most common human illnesses and represent an important global burden in healthcare.

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
  • Novel gene classifiers and uses thereof in autoimmune diseases
  • Novel gene classifiers and uses thereof in autoimmune diseases
  • Novel gene classifiers and uses thereof in autoimmune diseases

Examples

Experimental program
Comparison scheme
Effect test

example 1

ive Gene Expression Analysis for Psoriasis

[0246]Progress has been made in the treatment of moderate to severe psoriasis by blocking TNF alpha, IL-17A and IL-23. The pathways affected are depicted in FIG. 6. Further, disease monitoring, prediction of flare-ups and treatment selection remain challenging. Described below is a non-invasive method to assess gene expression in psoriasis and to predict treatment response.

[0247]Samples were assayed using the adhesive patch-based skin biopsy platform described herein. The modular structure of the qRT-PCR assay allowed it to be employed in a number of inflammatory skin conditions including psoriasis, atopic dermatitis, or lupus. In psoriasis, the assay focused on 20 targets involved in expanded TH17 pathways.

[0248]Over 500 lesional and non-lesional adhesive patch biopsy samples from patients with moderate to severe psoriasis demonstrated detection of 20 selected targets by qRT-PCR and differences in gene expression signatures of lesional, non...

example 2

ive Gene Expression Analysis for Psoriasis Utilizing a Different Test Population

[0250]An adhesive patch-based device as described herein was used to collect epidermal skin cells from test subjects (healthy persons as control and treatment naïve psoriatic patients) through a non-invasive procedure (from psoriatic patients, both lesional and non-lesional skins were also collected). Total RNA was extracted from these samples and used for cytokine gene expression analysis with TaqMan RT-qPCR. A panel of 13 cytokines, mainly in the Th17 pathway, involved in psoriasis was studied and their expression levels were calculated through the threshold cycle count (Ct) from the qPCR.

[0251]With the adhesive patch-based device, epidermal tissues were collected from all test subjects and total RNA was isolated (FIGS. 28A-28C). As psoriatic lesion often had a thickened skin with dried flaky layers of tissues, adhesive patch sampling often yielded more skin tissues thus higher RNA yields from psoriati...

example 3

orneum Gene Expression Measurements in Psoriasis Lesional and Non-Lesional Skin

[0255]Samples were collected using the adhesive patch-based device described herein. Antibodies selective against cytokine targets including their receptors were assessed for expression levels in 24 psoriasis lesional and 15 non-lesional skin samples. Samples were tested for binding to IL-17RC, IL-26, IL-22, IL-17A, IL-17F, IL-17C, TNFα, IL-6, IL-23A, DEFB4A, S100A9, CXCL5, and IL-8. FIG. 5 is a heat map showing results of screening. In psoriatic samples, lower levels of antibody binding were detected to DEFB4A, S100A9, CXCL5, and IL-8. In non-psoriatic samples, increased binding to IL-17RC, IL-26, IL-22, IL-17A, IL-17F, IL-17C, TNFα, IL-6, and IL-23A was detected.

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

PropertyMeasurementUnit
lengthaaaaaaaaaa
lengthaaaaaaaaaa
lengthaaaaaaaaaa
Login to View More

Abstract

Disclosed herein are methods of detecting an altered gene expression levels in a subject suspected of having an autoimmune disorder. Further described herein are methods of treating an autoimmune disorder in a subject having an exhibiting an altered gene expression level.

Description

CROSS-REFERENCE[0001]This application is a continuation of International Application No. PCT / US19 / 31203 filed May 7, 2019 which claims the benefit of U.S. Provisional Application No. 62 / 669,297 filed May 9, 2018, which application is incorporated herein by reference in its entirety.BACKGROUND OF THE DISCLOSURE[0002]Skin diseases are some of the most common human illnesses and represent an important global burden in healthcare. Three skin diseases are in the top ten most prevalent diseases worldwide, and eight fall into the top 50. When considered collectively, skin conditions range from being the second to the 11th leading causes of years lived with disability.SUMMARY OF THE DISCLOSURE[0003]Disclosed herein, in certain embodiments, is a method of detecting the presence of an autoimmune disease based on molecular risk factors. In some instances, described herein is a method of detecting the presence of psoriasis, lupus, or atopic dermatitis based on the molecular risk factors. In som...

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
Patent Type & Authority Applications(United States)
IPC IPC(8): C12Q1/6883
CPCC12Q1/6883G01N2800/205G01N2800/52C12Q2600/158G01N2800/202A61P17/00A61B10/02A61B10/0035A61B5/441A61B5/41
Inventor DOBAK, III, JOHN DANIELJANSENYAO, ZUXU
Owner DERMTECH INC
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com