Provided are a method and a composition for preventing or treating atopic dermatitis through administration of monoclonal stem cells and a method for screening atopic dermatitis patients suitable for administration of monoclonal stem cells and predicting prognosis of patients. According to the method for the subfractionation culture and proliferation of stem cells of the disclosure, large quantities of desired monoclonal mesenchymal stem cells can be obtained in a short period of time through rapid proliferation of monoclonal mesenchymal stem cells. In addition, the monoclonal mesenchymal stem cells thus obtained can be administered to atopic dermatitis patients according to a prescribed administration cycle, guidelines, and dose to effectively ameliorate atopy symptoms in the patients. Moreover, by using a marker to identify patient groups particularly suitable for the treatment and selectively administering the monoclonal mesenchymal stem cells to the patient groups, an excellent therapeutic effect for atopic dermatitis can be achieved.

The present disclosure relates to a kit for quantitative detection using a fluorescent microarray, and belongs to the technical field of protein detection. The kit of the present disclosure includes a detection plate and a detection antibody coupled with fluorescent microspheres, where the detection plate is provided with a plurality of reaction chambers; the reaction chamber is provided with an opening, and an inner bottom surface of the reaction chamber is provided with a plurality of detection sites that are arranged side by side along a length direction of the reaction chamber at an interval. The kit of the present disclosure may detect allergen-specific IgE, IgG and IgA with high sensitivity, as well as rapidly and quantitatively detect an allergen-specific antibody IgE, IgG and IgA concentration in human serum or plasma, and may screen dozens of allergens at a time.

The disclosure provides methods of using biomarkers to predict risk or likelihood and/or prognosis of and/or detect or diagnose substance use disorders or infections and/or monitor progress of substance use disorders and infections.

The present invention relates to therapeutic and prophylactic methods based on inhibition of CIS in NK cells. In particular, the present invention relates to treating or preventing a NK-responsive condition by administering to a subject a CIS inhibitor, or administering CIS-inhibited NK cells. The invention further relates to methods for identifying a CIS inhibitor, and for determining a likelihood of cancer response to treatment with CIS inhibition.

Methods of determining infection type are disclosed. In one embodiment, the method comprises measuring the amount of TRAIL and/or IP10 no more than two days from symptom onset.

Disclosed herein are methods in which an individual with multiple sclerosis (MS) can be classified into one of six subject groups, each subject group predictive for the patient's responsiveness to an interferon-β (IFN-β) therapy. The individual with MS can be classified according to the individual's serum marker levels, e.g., at baseline or following treatment with therapy. Depending on the classification, the individual with MS can be treated with standard therapies (e.g. IFN-β) or one or more alternative therapies with or without IFN-β.

This invention relates to methods for predicting a prognosis of a patient with cancer in need of an anti-cancer treatment comprising measuring a cytokine score from a sample obtained from the patient. In some embodiments, the subject is administered an anti-cancer treatment, e.g., an anti-PD-1 antibody, following the cytokine score measurement. In some embodiments, the cancer is lung cancer.

The aspects disclosed herein describe methods of identifying a subject that is non-responsive to anti-TNF therapy. The aspects disclosed herein further provide for a method of selecting a therapy for a subject with Inflammatory Bowel Disease (IBD), and treating the subject with the therapy.

The present invention relates to an in vitro method for predicting the proangiogenic activity of preparations of extracellular vesicles (EVs), preferably blood-derived EVs, wherein the method is based on the combined determination of the content of transforming growth factor beta (TGFβ) and microRNA-130a. Also disclosed is a method of manufacturing a preparation of extracellular vesicles (EVs) predicted to have strong proangiogenic activity and the EVs preparations thereof, which are effective for the therapeutic treatment of ischemic diseases, ischemic injuries and pathological conditions associated with risk of cardiovascular disease, or for use in wound healing.

An object of the present invention is to provide a TARC-containing composition with high storage stability. Provided is a composition including TARC (Thymus and activation-regulated chemokine) and one or more selected from the group consisting of a sugar fatty acid ester-type nonionic surfactant, a polyoxyethylene-polyoxypropylene block copolymer-type nonionic surfactant, and a polyoxyethylene alkylamine-type nonionic surfactant and being in liquid form. The aforementioned object is achieved by the composition.