PATENT CLAIM ANALYSIS

Application Number: 15881817
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-06
Patent Classification: ["435", "007100"]

Abstract:
A method of detecting the presence or absence of a disease in a patient wherein said disease is accompanied by deficient levels of S-adenosylmethionine comprising: identifying a patient that is suspected of having said disease or is at risk of having said disease; obtaining a biological sample from said patient; determining the level of S-adenosylmethionine in said biological sample using an antibody derived from a hapten analog of S-adenosylmethionine; and correlating the level of S-adenosylmethionine in said biological sample with the presence or absence of said disease. The invention also provides methods for measuring SAH which is used to determine the methylation index (ratio of SAM/SAH) in biological fluids which is indicative of the health status of an individual.

Claim (Index 3):
A method for diagnosing in a subject, or predicting the susceptibility of a subject to, a mental or neurodegenerative disorder, the method comprising: (a) obtaining one or more biological samples from the subject; (b) determining the levels of S-adenosylmethionine or the methylation index associated with said sample; and (c) comparing the levels of the biomarkers determined in (b) with the levels of said biomarkers from one or more control samples, wherein abnormal levels of the two or more biomarkers in the sample(s) from the subject compared to the one or more control samples is predictive of susceptibility of the subject to a mental or neurodegenerative disorder.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 1.86765
- Patent Class: 435.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14218928', '14457099', '12385749', '11969803', '14760067']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5419596809603588
- 35 USC 102 Novelty (BERT): 0.5346541921666491
- Combined Prediction Score: 0.5412291320809879
- Mean Citation Score: 278.45049800000004
- Max Citation Score: 385.327
- Similarity Product: 226.3875959261656

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test