The present disclosure provides a system comprising a communication interface and computer for assigning a label to the biomolecule fingerprint, wherein the label corresponds to a biological state. The present disclosure also provides a sensor arrays for detecting biomolecules and methods of use. In some embodiments, the sensor arrays are capable of determining a disease state in a subject.

Disclosed herein is a quantitative screen for the assessment of microbiome derived drug metabolism. The disclosed quantitative screen, named MDMQ-Screen, may be employed, inter alia, for assessing the impact of the human gut microbiome on drug metabolism. MDMQ-Screen is used to measure and explain inter-individual variability in drug metabolism. This information is crucial in explaining potential toxic effects of the administered drugs, as well variability in response to therapy between individuals. Inter alia, MDMQ-Screen can be used to assess unexplained variability in drug response and toxicity of already used medications; used in future drug development pipelines to aid in the design and interpretation of clinical trials; and used at bedside to assess the probability of drug response and toxicity and provide recommendations for therapeutic modifications in a personalized medicine manner.

The invention(s) cover a composition, where units of the composition are configured to interact with each other (e.g., as neighbors) in order enable decoding of positions of captured target material relative to neighboring units of the composition. In embodiments, the composition includes: a body; and a set of molecules coupled to the body, the set of molecules comprising a first subset and a second subset, wherein the first subset is structured for target analyte capture, and wherein the second subset is structured for interactions with one or more neighboring objects. The invention(s) also cover systems incorporating one or more units of the composition and methods implementing units of the composition.

The present invention provides a set of novel isobaric chemical tags, also referred herein as SUGAR (Isobaric Multiplex Reagents for Carbonyl Containing Compound). These labeling tags are compact and easy to synthesize at high yield and purity in just a few steps using commercially available starting materials. The tagging reagents of the present invention comprise: a) a reporter group, having at least one atom that is optionally isotopically labeled; b) a balancing group, also having at least one atom that is optionally isotopically labeled, and c) an aldehyde, ketone, or carboxylic acid reactive group. The multiplex SUGAR tags are able to react with an aldehyde, ketone, or carboxylic acid group of the molecule to be tagged, which offers the capability for labeling and quantitation of glycans, proteins/peptides, and fatty acids.

A method for determining in a sample, by mass spectrometry, the amount of one or more analytes selected from the group consisting of 12,13-DiHOME, 3-hydroxybutyrate (BHBA), 3-hydroxyoctanoate, 3-methylglutarylcarnitine, 3-ureidopropionate, 7-alpha-hydroxy-4-cholesten-3-one (7-Hoca), citrate, fucose, fumarate, gamma-tocopherol, glutamate, glutarate, glycerol, glycochenodeoxycholate, glycocholate, hypoxanthine, maleate, malonate, mannose, orotate, 2,3-pyrdinedicarboxylate, ribose, serine, taurine, taurochenodeoxycholate, taurocholate, palmitoleate, linolenate, xanthine, xylitol, and combinations thereof is described. The method comprises subjecting the sample to an ionization source under conditions suitable to produce one or more ions detectable by mass spectrometry from each of the one or more analytes; measuring, by mass spectrometry, the amount of the one or more ions from each of the one or more analytes; and using the measured amount to determine the amount of each of the one or more analytes in the sample.

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.

A method of spectrometric analysis comprises obtaining one or more sample spectra for an aerosol, smoke or vapour sample. The one or more sample spectra are subjected to pre-processing and then multivariate and/or library based analysis so as to classify the aerosol, smoke or vapour sample. The results of the analysis are used for various surgical or non-surgical applications.

The present disclosure provides azetidine compounds of Formula I and their pharmaceutically acceptable salts, their compositions, and methods for their use in determining azetidine compound binding to proteins. The azetidine compounds are useful as probes, for monitoring diacylglycerol kinase activity, and for identifying druggable targets.

Provided herein are methods for preparing biological samples for spatial proteomic analysis, methods of determining a location of a protein analyte in a biological sample, and methods of determining a location of a protein analyte and a nucleic acid analyte in a biological sample.