Abstract: A method for evaluating or monitoring metabolic effects of exercise or injury by detecting and/or quantifying microR-NAs in saliva. Compositions and methods of treatment based on detection of microRNAs.

Abstract: Provided are methods for detecting or diagnosing a traumatic brain injury or TBI by detecting concentration levels miRNAs associated with TBI in saliva. Methods for controlled and normalized comparisons of salivary miRNA concentration levels are further provided. Assay kits comprising salivary miRNAs, probes and/or primers for detecting salivary miRNAs are also provided.

Abstract: The present disclosure relates to a method of detecting and quantifying a virus-of-interest from human viral shed in a community, including: concentrating viral material from a wastewater sample to form a viral nucleic acid material; measuring an amount of a virus-of-interest nucleic acid in the viral nucleic acid material to obtain a first amount; measuring an amount of a marker or bacteriophage nucleic acid in the viral nucleic acid material to obtain a second amount; and forming a ratio of the first amount to the second amount to estimate a level of virus-of-interest from human viral shed within a community. In embodiments, methods for quantifying, monitoring, and/or identifying virus-of-interest such as SARS-CoV-2 are also disclosed.

Abstract: A method and composition for detecting, diagnosing, prognosing or monitoring a subject suspected of having or having Parkinson's disease by detecting miRNAs and microbial RNAs in saliva.

Abstract: This application provides methods to differentiate between subjects with autism spectrum disorder (ASD) and typically developing (TD) or developmentally delayed (DD) subjects using miRNA and/or microbiome levels detected in saliva samples and patient information. The method can be used to monitor the progress of ASD and guide its treatment. RNA-seq, qPCR, or other methods determine counts and abundance of miRNA or microbiomes. MicroRNA and/or microbiome sequencing data are refined by normalization to expression levels or abundance of time-invariant miRNAs and/or microbial RN As to control for time of sample collection or to compensate for circadian fluctuations in these levels. Multivariate logistic regression and nonlinear classification techniques are further used to select a panel of miRNAs and microbiomes that accurately differentiate between subjects with ASD, DD, and TD in subjects with an unknown ASD status. These panels of miRNAs and microbiomes may be developed into a RNA assay kit.

Abstract: A machine learning classifier that diagnoses autism spectrum disorder (ASD) is described that transforms data obtained from a patient medical history and a patients saliva into data that correspond to a test panel of features, the data for the features including human microtranscriptome and microbial transcriptome data, wherein the transcriptome data are associated with respective RNA categories for ASD. The classifier classifies the transformed data by applying the data to the classifier that has been trained to detect ASD using training data associated with the features of the test panel. The trained classifier includes vectors that define a classification boundary and predicts a probability of ASD based on results of the classifying.

Abstract: A method for detecting a risk of, diagnosing, prognosing, or monitoring anorexia nervosa or another eating disorder or for distinguishing a healthy subject from one with anorexia, an eating disorder, or an anxiety disorder comprising detecting at least one abnormal or altered pattern of miRNA and/or microbial RNA in biological sample compared to a control value from one or more normal subjects or healthy controls, and selecting a subject having at least one abnormal or altered pattern of miRNA and/or microbial RNA correlated with anorexia nervosa or another eating disorder. Probe and/or primer compositions for identifying miRNAs or microbial RNAs; compositions containing miRNAs or microbial RNAs, their mimics or agents that target miRNAs or microbial RNAs; and methods of treatment for AN and other eating disorders.

Abstract: The present invention relates to methods and kits for detecting a fusion mRNA transcript or polypeptide encoded by the fusion mRNA transcript. The method includes obtaining a biological sample from a subject and providing one or more reagents capable of binding a fusion mRNA transcript or polypeptide encoded by the fusion mRNA transcript, wherein the fusion mRNA transcript or polypeptide encoded by the fusion mRNA transcript comprises the 3? end of ex on 25 of INPP5D fused to the 5? end of ex on 2 of ATG16L1 or the polypeptide encoded by the 3? end of ex on 25 of INPP5D fused to the 5? end of ex on 2 of ATG16L1, respectively.

Abstract: Provided are methods for detecting or diagnosing a traumatic brain injury or TBI by detecting concentration levels miRNAs associated with TBI in saliva. Methods for controlled and normalized comparisons of salivary miRNA concentration levels are further provided. Assay kits comprising salivary miRNAs, probes and/or primers for detecting salivary miRNAs are also provided.

Abstract: This application provides methods to differentiate between subjects with autism spectrum disorder (ASD) and typically developing (TD) or developmentally delayed (DD) subjects using miRNA and/or microbiome levels detected in saliva samples and patient information. The method can be used to monitor the progress of ASD and guide its treatment. RNA-seq, qPCR, or other methods determine counts and abundance of miRNA or microbiomes. MicroRNA and/or microbiome sequencing data are refined by normalization to expression levels or abundance of time-invariant miRNAs and/or microbial RN As to control for time of sample collection or to compensate for circadian fluctuations in these levels. Multivariate logistic regression and nonlinear classification techniques are further used to select a panel of miRNAs and microbiomes that accurately differentiate between subjects with ASD, DD, and TD in subjects with an unknown ASD status. These panels of miRNAs and microbiomes may be developed into a RNA assay kit.

Abstract: Methods for diagnosing or monitoring a condition, disorder or disease associated with circadian, diurnal or other temporal rhythms by detecting circa-miRNAs and circa-microbiomes associated with said condition, disorder or disease. Methods for correcting or normalizing sequence data to correct for diurnal or circadian fluctuations in quantities of circa-miRNAs and/or circa-microbiomes by adjusting or normalizing values based on the time of day when a saliva sample containing these RNAs was collected.

Abstract: The present invention relates to methods and kits for detecting a fusion mRNA transcript or polypeptide encoded by the fusion mRNA transcript. The method includes obtaining a biological sample from a subject and providing one or more reagents capable of binding a fusion mRNA transcript or polypeptide encoded by the fusion mRNA transcript, wherein the fusion mRNA transcript or polypeptide encoded by the fusion mRNA transcript comprises the 3? end of ex on 25 of INPP5D fused to the 5? end of ex on 2 of ATG16L1 or the polypeptide encoded by the 3? end of ex on 25 of INPP5D fused to the 5? end of ex on 2 of ATG16L1, respectively.

Abstract: The present invention relates to systems, devices, collections, techniques, and methods for diagnosing autism spectrum disorder (ASD) in a subject in addition to methods of treatment. In particular, the present disclosure relates to systems, devices, collections, techniques, and methods that utilize direct sequencing of micro ribonucleic acid (miRNA) or the use of miRNA probes having ribonucleotide sequences that may undergo nucleic acid hybridization with complementary nucleic acids present in a biological sample from the subject. Hybridization of the miRNA probes may be detected in the sample to determine if the subject has an ASD. Upon detection of an ASD using the methods discussed herein, therapy guidance may be effectuated to the subject.

Abstract: An apparatus automatically tests the effect of pendular motion on the integrity of cartons or other containers having handles, by grasping the handles with a simulated hand connected to a simulated arm, which swings the carton along an arcuate path according to a predefined test protocol. A first test protocol simulates removal of the carton from an elevated shelf. A second test protocol simulates the oscillating motion of a human carrying a carton by its handle. A third test protocol simulates a human swinging the carton upward to an elevated shelf. The simulated hand may be connected to the simulated arm by a simulated wrist that allows articulation of the hand during the test, thereby more closely approximating handling of the carton by a human user. The simulated arm may be caused to pivot or oscillated by the force of gravity and alternatively, by a mechanical or electromechanical drive system.

Abstract: Methods for wellbore operations in an earth wellbore with tubing within casing in an earth wellbore, the wellbore extending down into earth from an earth surface, the tubing including a tubing string with a lower end and extending down within the casing with the lower end at a point above a lower end of the casing, a tubing-casing annulus between the tubing and the casing sealed by a first sealing apparatus, the method including sealing the lower end of the tubing string with a sealing device to prevent fluid flow therethrough, and sealing the tubing casing annulus with a second sealing apparatus above and spaced apart from the first sealing apparatus. In certain aspects the sealing apparatuses provide upper and lower spaced-apart primary barriers. The methods in additional aspects include making an exit opening through the tubing and an exit opening through the casing, each exit opening located between the first sealing apparatus and the second sealing apparatus.