This invention provides a method for detecting cognitive disfunction diseases including mild cognitive impairment and Alzheimer's disease using a protein and a peptide of the protein different in the presence level in subjects having a normal cognitive function and patients suffering from cognitive disfunction diseases and a biomarker for detecting cognitive disfunction diseases including mild cognitive impairment and Alzheimer's disease containing the protein and the peptide. This invention is a biomarker for diagnosing cognitive disfunction diseases containing a prothrombin precursor protein of SEQ ID NO: 1 or a peptide THRB containing the amino acid sequence represented by SEQ ID NO: 2 which is a peptide of the protein, a diagnosis method for cognitive disfunction diseases using the biomarker, an antigen peptide represented by SEQ ID NO: 3 for creating a THRB peptide specific antibody to be used in the diagnosis method, and a cognitive disfunction disease diagnosis kit containing the THRB peptide specific antibody.

The invention relates to methods for determining whether a subject is afflicted with a motor neuron disease, the method comprising conducting an analysis of cerebrospinal fluid and/or plasma, measuring the level of one or more sterol/oxysterol analytes, and comparing these to reference values. Further, the invention relates to methods of identifying agents suitable for the treatment of MND, and monitoring the progress of the disease.

Methods aiding in the diagnosis of certain neuropathies are disclosed, in which the titer of antibodies to a disulfated heparin disaccharide is assessed in a test sample from a subject. Also disclosed are apparatus and kits that can be used in the methods of the invention.

The present description relates to the use of a SRSF3 agent for regulating the function of a myeloid cell, such as a microglial cell and/or monocyte, for treating neurological conditions, cancers, bacterial infections and viral infections wherein the SRSF3 agent inhibits expression or function of SRSF3.

The present invention includes methods and kits for the diagnosing a neurological disease within primary care settings comprising: obtaining a blood test sample from a subject, measuring IL-7 and TNFα biomarkers in the blood sample, comparing the level of the one or a combination of biomarkers and neurocognitive screening tests with the level of a corresponding one or combination of biomarkers in a normal blood sample and neurocognitive screening tests, and predicting that an increase in the level of the blood test sample in relation to that of the normal blood sample indicates that the subject is likely to have a neurological disease.

A method of diagnosing central nervous system injuries such as acquired brain injury (ABI) and/or acquired spinal cord injury (ASI), including mild TBI (concussion or blast wave), mild ASI (contusion, stretch or partial cord transection), non-TBI brain injury and/or non-TSI spinal cord injury in a subject (animal or human). The method includes (a) obtaining a biological test sample from the subject, identifying metabolites in the subject's sample using metabolomics thereby obtaining a subject's metabolite matrix and generating a subject's profile using the patient's metabolite matrix; and (b) using multivariate statistical analysis and machine learning to compare the subject's profile with predetermined set of profiles of CNS injuries and a predetermined set of profiles of controls to determine if the subject has a CNS injury.

Disclosed herein are methods, and kits for use in said methods, that aid in the diagnosis and evaluation of a pediatric subject for traumatic brain injury (TBI), using ubiquitin carboxy-terminal hydrolase L1 (UCH-L1), glial fibrillary acidic protein (GFAP), or a combination thereof. Also disclosed herein are methods, and kits for use in said methods, that aid in determining whether a pediatric subject would benefit from and thus receive an imaging procedure, such as MRI or head computerized tomography (CT) scan based on the levels of GFAP, UCH-L1 or GFAP and UCH-L1.

The present disclosure relates generally to a sensor chip and methods for the detection of an analyte. In particular, the disclosure relates to a sensor chip for detecting an analyte in a subject suffering from a neurodegenerative disease. The sensor chip comprises a conductive layer on a membrane support layer, wherein a plurality of apertures extend through the conductive layer and the membrane support layer and are arranged such that illumination of the conductive layer and/or the membrane support layer produces a surface plasmon resonance.

Provided are a machine learning-based autism spectrum disorder (ASD) diagnosis method and device using a metabolite as a marker. The method comprises: measuring the content of at least one marker in a sample of a subject and comparing same with the content of the corresponding marker in a healthy control, or using an algorithm constructed by machine learning to process the content of the marker. Particularly, the marker is a metabolite in human urine. The device comprises: an accommodation space, configured to place the sample of the subject; a testing unit, configured to test the marker in the sample to obtain the content of the marker; and a calculation and determination unit, configured to perform calculation on the basis of the content of the marker according to a predetermined algorithm to obtain an indication of whether the subject suffers from ASD. According to the present application, the change pattern of a metabolite in urine is mined by means of a machine learning algorithm to provide diagnoses for children suffering from ASD. The device based on a predetermined algorithm provided by the present application can provide a new strategy for diagnosis of ASD.

The subject matter generally relates to methods of treatment and/or prophylaxis of CNS diseases, disorders, and/or injuries. In one aspect, the subject matter relates to inhibitors of phosphodiesterase 1 (PDE1) as neuroprotective agents and/or neural regenerative agents. In a further aspect, the subject matter relates to individuals that are at risk for the development of CNS disease or disorder.