Abstract: Biomarkers and methods for predicting risk of a disease in particular RA are provided. Sequences of DNA are obtained. The DNA may be extracted from a sample that is collected from a subject. A relative abundance of a biomarker is then calculated based on the sequences of the DNA. The biomarker comprises a DNA sequence in a genome of Lactobacillus salivarius. A probability of the subject having the disease is obtained based on the relative abundance.

Abstract: A mobile phone screen protective film comprises, in order from top to bottom, a surface film layer (1), a film-attaching layer (2), and a bottom film layer (3), wherein the layers are sequentially attached to one another. In this way, the issue of existing mobile phone screen protective films in which misalignment tends to occur during the attaching process which impacts the effect of the film and causes damage to the film body is resolved. The film can thus be well-positioned and attached during the attaching process.

Abstract: Biomarkers and methods related to microbiota for predicting the risk of a disease, particularly colorectal cancer (CRC), are described.

Abstract: Biomarkers and methods for predicting the risk of a disease related to microbiota, in particular colorectal cancer (CRC), are described.

Abstract: An intestinal microorganism metagenomic feature is a bacteroid intestinal pattern. By using the intestinal metagenomic pattern, it was found that type 2 diabetic patients with different intestinal parasitic bacterial flora had remarkably different responses to treatment with the diabetic hypoglycemic drug acarbose. Therefore, before treatments, the intestinal patterns of the patients can be assessed to select those patients likely to experience optimal curative effects, and to determine whether acarbose is suitable for the treatment of individual patients with type 2 diabetes. In addition, while intestinal patterns are conventionally distinguished by DNA sequencing or PCT amplification of parasitic bacteria in excrements, the intestinal patterns can be well distinguished using a bile acid composition, especially secondary bile acids, under baseline conditions. The intestinal patterns can be identified through markers in blood, and then be used as markers for diagnosis.

Abstract: Biomarkers for diabetes and usages thereof are provided. And the biomarkers are nucleotides having polynucleotide sequences defined in SEQ ID NOs: 1-50.

Abstract: Biomarkers and methods for predicting risk of a disease in particular RA are provided. Sequences of DNA are obtained. The DNA may be extracted from a sample that is collected from a subject. A relative abundance of a biomarker is then calculated based on the sequences of the DNA. The biomarker comprises a DNA sequence in a genome of Lactobacillus salivarius. A probability of the subject having the disease is obtained based on the relative abundance.

Abstract: Biomarkers and methods related to microbiota for predicting the risk of a disease, particularly colorectal cancer (CRC), are described.

Abstract: Biomarkers and methods for predicting the risk of a disease related to microbiota, in particular colorectal cancer (CRC), are described.

Abstract: A method and system to determine biomarkers related to abnormal condition in a subject are provided, comprising:sequencing nucleic acid samples from a first and a second subject in order to obtain multiple sequences respectively consisting of the first and the second sequencing results, wherein the first subject is in the abnormal condition; and the second subject is not in the abnormal condition; and the nucleic acid samples from the first and the second subject are both isolated from the samples of the same type; and the first and the second subject belong to the same species; and determining the biomarkers related to the abnormal condition in the subject based on the difference between the first and the second sequencing results.

Abstract: Biomarkers for diabetes and usages thereof are provided. And the biomarkers are nucleotides having polynucleotide sequences defined in SEQ ID NOs: 1-50.

Abstract: Biomarkers for diabetes and usages thereof are provided. And the biomarkers are Akkermansia muciniphila, Bacteroides intestinalis, Bacteroides sp. 20_3, Clostridium bolteae, Clostridium hathewayi, Clostridium ramosum, Clostridium sp. HGF2, Clostridium symbiosum, Desulfovibrio sp. 3_1_syn3, Eggerthella lenta, Escherichia coli, Clostridiales sp. SS3/4, Eubacterium rectale, Faecalibacterium prausnitzii, Haemophilus parainfluenzae, Roseburia intestinalis and Roseburia inulinivorans.