PATENT CLAIM ANALYSIS

Application Number: 15742484
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["435", "007920"]

Abstract:
The invention relates to a method for assessing the prognosis of idiopathic membranous nephropathy in a subject, based on the analysis of PLA2R1 epitope profile. The invention further relates to a method for monitoring the progression of idiopathic membranous nephropathy based on the analysis of the PLA2R1 epitope spreading. The invention highlights that three PLA2R1 domains (Cys R, CTLD1 and CTLD7) are involved in anti-PLA2R1 activity, with two of them (CTLD1 and CTLD7) more closely associated with active idiopathic membranous nephropathy and likely linked by a mechanism of epitope spreading.

Claim (Index 18):
A method for diagnosing idiopathic membranous nephropathy in a subject, comprising:\n (a) detecting in a biological sample obtained from said subject one or more autoantibodies that recognize distinct PLA2R1 domains and that are selected from the group consisting of:\n (i) autoantibodies directed against Cysteine-rich domain (Cy sR) of PLA2R1; \n (ii) autoantibodies directed against C-type lectin domain 1 (CTLD1) of PLA2R1; and \n (iii) autoantibodies directed against C-type lectin domain 7 (CTLD7) of PLA2R1; \n wherein detection in (a) of presence of one, two or all three of (i)-(iii) is indicative of idiopathic membranous nephropathy.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 86.0
- Lexical Diversity: 1.85185
- Patent Class: 435.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15328563', '13006864', '13641610', '14001827', '15526851']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5360042873664261
- 35 USC 102 Novelty (BERT): 0.5453904461108837
- Combined Prediction Score: 0.5369429032408719
- Mean Citation Score: 258.04373
- Max Citation Score: 395.81674
- Similarity Product: 283.513154382658

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test