Abstract: Provided herein are methods of obtaining and applying measurements of metabolites to diagnosing ASD in a subject, particularly children, with high specificity and sensitivity. The metabolites can be measured in urine, serum, and whole blood samples.

Abstract: The present invention relates to compositions and methods relating to biomarkers that can be used for detection and treatment assessment of infectious diseases or disorders, such as fungal infection, in a subject. The present invention also provides methods of diagnosing infectious diseases or disorders and distinguishing between different types of infectious diseases or disorders (e.g., fungal infection vs bacterial infection). The present invention additionally provides kits that find use in the practice of the methods of the invention.

Abstract: A metabolic profiling approach for identifying biomarkers that provide highly sensitive and specific colorectal cancer (CRC) detection and monitoring using serum samples. The methods can be used for distinguishing CRC patients from both healthy controls and polyp patients, as well as to monitor disease progression or response to therapy. Receiver operator characteristic curves generated based on these models showed high sensitivities for differentiating CRC patients from healthy controls or polyp patients, good specificities, low false discovery rates, and excellent areas under the curve were obtained. Monte Carlo cross validation (MCCV) was also applied, demonstrating the robust diagnostic power of this metabolic profiling approach.

Abstract: Methods for detecting and measuring metabolic changes useful in the detection of cancer, and in differentiating between ovarian cancer and benign ovarian tumor are described, as well as the unexpected and valuable combination of detecting both lipidomic and aqueous metabolites. Two independent LC-MS-based metabolomics platforms, including a global lipidomics approach, were used to screen for differentially abundant plasma metabolites between cases with serous ovarian carcinoma and controls with benign serous ovarian tumor. The identified biomarkers can be used to distinguish between ovarian cancer and benign tumors. Standards and kits for use with the methods for detecting cancer are also provided.

Abstract: A metabolic profiling approach for identifying biomarkers that provide highly sensitive and specific colorectal cancer (CRC) detection and monitoring using serum samples. The methods can be used for distinguishing CRC patients from both healthy controls and polyp patients, as well as to monitor disease progression or response to therapy. Receiver operator characteristic curves generated based on these models showed high sensitivities for differentiating CRC patients from healthy controls or polyp patients, good specificities, low false discovery rates, and excellent areas under the curve were obtained. Monte Carlo cross validation (MCCV) was also applied, demonstrating the robust diagnostic power of this metabolic profiling approach.

Abstract: Globally Optimized Targeted (GOT)-MS, combines many of the advantages of targeted detection and global profiling in metabolomics analysis, including the capability to detect unknowns, broad metabolite coverage, and excellent quantitation. A global search of precursor and product ions using a single triple quadrupole (QQQ) mass spectrometer includes SIM incremental scanning or incremental MS scanning performed in the mass range of 40-2000 Da, followed by tandem MS/MS scanning with incremental collision energy for precursor ions to profile product ions.

Abstract: A method for the parallel identification of one or more metabolite species within a biological sample is provided. The method comprises producing a first spectrum by subjecting the sample to a nuclear magnetic resonance analysis, the first spectrum containing individual spectral peaks representative of the one or more metabolite species contained within the sample; producing a second spectrum by subjecting the sample to a mass spectrometry analysis, the spectrum containing individual spectral peaks representative of the one or more metabolite species contained within the sample; subjecting each of the individual spectral peaks to a statistical pattern recognition analysis to identify the one or more metabolite species contained within the sample; and identifying the one or more metabolite species contained within the sample by analyzing the individual spectral peaks of the mass and nuclear magnetic resonance spectra.

Abstract: A method for the parallel identification of one or more metabolite species within a biological sample is provided. The method comprises producing a first spectrum by subjecting the sample to a nuclear magnetic resonance analysis, the first spectrum containing individual spectral peaks representative of the one or more metabolite species contained within the sample; producing a second spectrum by subjecting the sample to a mass spectrometry analysis, the spectrum containing individual spectral peaks representative of the one or more metabolite species contained within the sample; subjecting each of the individual spectral peaks to a statistical pattern recognition analysis to identify the one or more metabolite species contained within the sample; and identifying the one or more metabolite species contained within the sample by analyzing the individual spectral peaks of the mass and nuclear magnetic resonance spectra.