Mental disorder biomarker and application thereof
A technology for biomarkers and mental disorders, applied in the fields of application, biochemical equipment and methods, microbiological determination/testing, etc., can solve the problem that the impact mechanism is not very clear
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Embodiment 1
[0028] In the example, we recruited 31 individuals with mental disorders and 32 healthy controls. We took 62 individuals with mental disorders and healthy controls as the training sample set for the model, and collected 10 individuals from the mental disorder group and 10 healthy controls as the validation sample set. The potential biomarkers of significant differences between the two groups were found by comparative analysis of the functional genetic composition characteristics of gut microbes in fecal samples from the model learning sample set. Subsequently, the above-mentioned potential biomarkers are verified through the verification sample set, so as to screen out the final biomarkers. High-throughput chip detection and bioinformatics analysis showed that there were different kinds of representative functional genes between the two groups in the number of detected genes, diversity and different metabolic pathways. Example 1: Sample Collection Detection and DNA Extraction...
Embodiment 2
[0032] Example 2: Detection of fecal DNA using a functional gene detection chip
[0033] Qualified DNA samples were vacuum freeze-dried and then sent to AG Company for gene chip testing. The microbial gene chip of AG company was used for detection. Wherein, sample preparation, hybridization, reading, etc. are carried out referring to the instructions of the chip. The microbial gene chip contains 36,802 probes, corresponding to 50,007 protein coding sequences of 139 key metabolic pathway functional gene families, which can detect the functional genes of human microorganisms at the species / strain level (Tu, Q., Z. He, Y. Li, Y. Chen, Y. Deng, L. Lin, et al. (2014): Development of HuMiChip for Functional Profiling of Human Microbiomes. PLOSONE. 9(3): e90546.). The hybridization results were scanned and analyzed using NimbleScan (NimbleGen, Madison, WI, USA), and the raw data were input into the online analysis platform (http: / / ieg.ou.edu / microarray / ), and processed according to...
Embodiment 3
[0034] Embodiment 3: Basic processing of chip data
[0035] After obtaining the chip data of 63 samples, the original data needs to be normalized, and each detected signal value is divided by the average signal intensity of the chip. Then perform quality control on it, and the quality control is carried out according to the following standards: the minimum signal strength is set to 1000, and the signal-to-noise ratio (SNR, SignaltoNoiseRatio) is set to 2. After the original data is processed, Cleandata is obtained, and the online analysis tool (http: / / ieg2.ou.edu / NimbleGen) is used to perform operations such as de-redundancy to screen high-quality data. An average of 27,968 gene signals were detected per sample, and an average of 20,532 high-quality gene signals were obtained per sample.
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