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Identification of sequences particularly useful for the diagnosis and identification of therapeutic targets for osteoarthritis

a technology of sequence identification and osteoarthritis, which is applied in the field of identification and selection of sequences, can solve the problems of cartilage degradation and osteoarthritis, significant impact on productivity and or quality of life, and much more disability, and achieve the effect of monitoring the efficacy of the therapeutic regimen and diagnosing the degree of osteoarthritis

Inactive Publication Date: 2009-02-19
GENENEWS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In most cases, due to the essential weight-bearing function of the knees and hips, osteoarthritis in these joints causes much more disability than osteoarthritis of the hands.
These symptoms frequently progress to the point that they have a significant impact in terms of lost productivity and or quality of life consequences for the patient.
Disruption of homeostasis through either inadequate anabolic activity or excessive catabolic activity can result in cartilage degradation and osteoarthritis.
Unfortunately, chondrocytes have very limited ability to up-regulate their anabolic activity and increase the synthesis of proteoglycan and type II collagen in response to damage or loss of cartilage matrix.
This fundamental limitation of chondrocytes is the core problem that has precluded the development of therapies that can prevent and cure osteoarthritis.
Although redness and swelling of joints is uncommon, joints become tender during a flare-up of osteoarthritis.
“Mild” or “early stage osteoarthritis” is difficult to diagnose.
However, this work does not adequately address the differentiation of chondrocyte gene expression from differing severities of osteoarthritic human cartilage (mild, moderate, marked and severe).
Even upon construction of cDNA libraries from individuals demonstrating differing severities of osteoarthritis, it has been difficult to identify sequences which will be particularly useful in the diagnosis of osteoarthritis.
More importantly previous studies have not identified sequences which will be either effective in diagnosing the degree of advancement of osteoarthritis so as to aid in both early detection and treatment, or in identifying novel therapeutic targets.
Even upon construction of cDNA libraries from individuals demonstrating differing severities of osteoarthritis, it has been difficult to identify sequences which will be particularly useful in the diagnosis of osteoarthritis.
More importantly previous studies have not identified sequences which will be effective in diagnosing the degree of advancement of osteoarthritis so as to aid in both early detection, and treatment.
Additionally previous studies have not identified sequences which will be effective in identifying agents which will be useful in treating osteoarthritis.

Method used

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  • Identification of sequences particularly useful for the diagnosis and identification of therapeutic targets for osteoarthritis
  • Identification of sequences particularly useful for the diagnosis and identification of therapeutic targets for osteoarthritis
  • Identification of sequences particularly useful for the diagnosis and identification of therapeutic targets for osteoarthritis

Examples

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example 1

RNA Extraction, cDNA Library Construction and EST Analysis

[0389]Normal cartilage was obtained from the donor program of Department of Orthopaedics and Rehabilitation, University of Miami. OA cartilage samples were obtained from either areas of very early cartilage degeneration (mild) or from sites of moderate, marked or severe cartilage degeneration during either arthroscopic knee surgery or total knee replacement. OA severity was graded according to the system described by Marshall (Marshall K W. J Rheumatol, 1996:23(4) 582-85). Briefly, each of the six knee articular surfaces was assigned a cartilage grade with points based on the worst lesion seen on each particular surface. Grade 0 is normal (0 points), Grade I cartilage is soft or swollen but the articular surface is intact (1 point). In Grade II lesions, the cartilage surface is not intact but the lesion does not extend down to subchondral bone (2 points). Grade III damage extends to subchondral bone but the bone is neither er...

example 2

Microarray Construction

[0394]Microarrays using ESTs isolated from the four cDNA libraries as described above were created.

[0395]PCR products (˜40 ul) of cDNA clones from OA cartilage cDNA libraries as described above were utilized in the same 96-well tubes used for amplification, are precipitated with 4 ul ( 1 / 10 volume) of 3M sodium acetate (pH 5.2) and 100 ul (2.5 volumes) of ethanol and stored overnight at −20° C. They are then centrifuged at 3,300 rpm at 4° C. for 1 hour. The obtained pellets were washed with 50 ul ice-cold 70% ethanol and centrifuged again for 30 minutes. The pellets are then air-dried and resuspended well in 50% dimethylsulfoxide (DMSO) or 20 ul 3×SSC overnight. The samples are then deposited either singly or in duplicate onto Gamma Amino Propyl Silane (Corning CMT-GAPS or CMT-GAP2, Catalog No. 40003, 40004) or polylysine-coated slides (Sigma Cat. No. P0425) using a robotic GMS 417 or 427 arrayer (Affymetrix, Calif.). The boundaries of the DNA spots on the mic...

example 3

Target Nucleic acid Preparation and Hybridization using Constructed Arrays

[0397]Preparation of Fluorescent DNA Probe from mRNA

[0398]Fluorescently labeled target nucleic acid samples are prepared for analysis with an array of the invention.

[0399]2 μg Oligo-dT primers are annealed to 2 ug of mRNA isolated from a cartilage sample from patient diagnosed with osteoarthritis as described above in a total volume of 15 ul, by heating to 70° C. for 10 min, and cooled on ice. The mRNA is reverse transcribed by incubating the sample at 42° C. for 1.5-2 hours in a 100 μl volume containing a final concentration of 50 mM Tris-HCl (pH 8.3), 75 mM KCl, 3 mM MgCl2, 25 mM DTT, 25 mM unlabeled dNTPs, 400 units of Superscript 11 (200 U / uL, Gibco BRL), and 15 mM of Cy3 or Cy5 (Amersham). RNA is then degraded by addition of 15 μl of 0.1N NaOH, and incubation at 70° C. for 10 min. The reaction mixture is neutralized by addition of 15 μl of 0.1N HCL, and the volume is brought to 500 μl with TE (10 mM Tris,...

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Abstract

The invention relates to the identification and selection of sequences which demonstrate particular advantage in identifying individuals having osteoarthritis (OA). The invention also provides a selection of sequences particularly useful in diagnosing the degree of advancement of osteoarthritis of an individual and in the identification of novel therapeutic targets for OA. The invention further provides for the use of these sequences as a tool to diagnose disease progression and to monitor the efficacy of therapeutic regimens.

Description

RELATED APPLICATION(S)[0001]This application claims the benefit of U.S. Provisional Application No. 60 / 410,180 filed on Sep. 12, 2002. The entire teachings of the above application are incorporated herein by reference.FIELD OF THE INVENTION[0002]The invention relates to the identification and selection of sequences which demonstrate particular advantage in identifying individuals having osteoarthritis (OA). The invention also provides a selection of sequences particularly useful in diagnosing the degree of advancement of osteoarthritis of an individual and in the identification of novel therapeutic targets for OA. The invention further provides for the use of these sequences as a tool to diagnose disease progression and to monitor the efficacy of therapeutic regimens.BACKGROUND[0003]Osteoarthritis (OA) is a chronic disease in which the articular cartilage that lies on the ends of bones that forms the articulating surface of the joints gradually degenerates over time. There are many ...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): C12Q1/68C40B20/02C07K14/47
CPCC07K14/47C12Q2600/158C12Q1/6883
Inventor LIEW, CHOONG-CHINMARSHALL, K. WAYNEZHANG, HONGWEI
Owner GENENEWS