Biomarkers and methods for assessing psoriatic arthritis disease activity
AssigneesCrescendo Bioscience, Inc., The Regents of the University of California
InventorsEric Sasso, Paul Scott Eastman, Rebecca Bolce, Arthur Kavanaugh
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Abstract
Provided herein are biomarkers and methods for generating scores useful for assessing psoriatic arthritis (PsA) disease activity in subjects previously diagnosed with PsA. The invention also provides predictive model methods based on the biomarkers, as well as computer systems, software embodiments of the models for scoring and optionally classifying samples, and methods of recommending optimal therapeutic regimens.
Claims23
-17. (canceled)
A method for generating a protein level score comprising:
- performing at least one immunoassay on a first blood sample from a subject previously diagnosed with psoriatic arthritis (PsA), to generate protein level data for each protein marker of a plurality of protein markers, wherein the plurality of protein markers comprises a plurality of test markers comprising at least four markers selected from chitinase 3-like 1 (cartilage glycoprotein-39) (CHI3L1);
- C-reactive protein, pentraxin-related (CRP);
- epidermal growth factor (beta-urogastrone) (EGF);
- interleukin 6 (interferon, beta 2) (IL6);
- leptin (LEP);
- matrix metallopeptidase 1 (interstitial collagenase) (MMP1);
- matrix metallopeptidase 3 (stromelysin 1, progelatinase) (MMP3);
- resistin (RETN);
- serum amyloid A1 (SAA1);
- tumor necrosis factor receptor superfamily, member 1A (TNFRSF1A);
- vascular cell adhesion molecule 1 (VCAM1);
- or, vascular endothelial growth factor A (VEGFA);
- and
- combining the protein level data for each test marker to generate the protein level score.
-27. (canceled)
A method for providing a quantitative measure of psoriatic arthritis (PsA) disease activity in a subject previously diagnosed with PsA comprising:
- performing at least one immunoassay on a first sample from the subject to generate a first dataset comprising quantitative data comprising at least four markers selected from chitinase 3-like 1 (cartilage glycoprotein-39) (CHI3L1);
- C-reactive protein, pentraxin-related (CRP);
- epidermal growth factor (beta-urogastrone) (EGF);
- interleukin 6 (interferon, beta 2) (IL6);
- leptin (LEP);
- matrix metallopeptidase 1 (interstitial collagenase) (MMP1);
- matrix metallopeptidase 3 (stromelysin 1, progelatinase) (MMP3);
- resistin (RETN);
- serum amyloid A1 (SAA1);
- tumor necrosis factor receptor superfamily, member 1A (TNFRSF1A);
- vascular cell adhesion molecule 1 (VCAM1);
- or, vascular endothelial growth factor A (VEGFA);
- and
- applying an algorithm to said first dataset to determine a first disease activity score, wherein said first disease activity score provides a quantitative measure of PsA disease activity in said subject.
-36. (canceled)
A method for recommending a therapeutic regimen in a subject previously diagnosed with psoriatic arthritis (PsA), the method comprising:
- a) performing, at a first time point, a first immunoassay on a first sample from the subject to generate a first score based on a first set of quantitative data, wherein the first set of quantitative data comprises expression data for at least four biomarkers selected from chitinase 3-like 1 (cartilage glycoprotein-39) (CHI3L1);
- C-reactive protein, pentraxin-related (CRP);
- epidermal growth factor (beta-urogastrone) (EGF);
- interleukin 6 (interferon, beta 2) (IL6);
- leptin (LEP);
- matrix metallopeptidase 1 (interstitial collagenase) (MMP1);
- matrix metallopeptidase 3 (stromelysin 1, progelatinase) (MMP3);
- resistin (RETN);
- serum amyloid A1 (SAA1);
- tumor necrosis factor receptor superfamily, member 1A (TNFRSF1A);
- vascular cell adhesion molecule 1 (VCAM1);
- or, vascular endothelial growth factor A (VEGFA);
- b) performing, at a second time point that is a time period after the first time point, a second immunoassay on a second sample from the subject to generate a second score based on a second set of quantitative data, wherein the second set of quantitative data comprises expression data for the at least four biomarkers;
- c) determining whether there is a difference between the first score and the second score;
- and
- d) recommending a therapeutic regimen, or modifying an existing therapeutic regimen, based on the difference between the first and second scores.
Dependencies are inferred from the claim text.