The present invention relates to methods and compositions for monitoring, diagnosis, prognosis, and determination of treatment regimens in subjects suffering from or suspected of having a renal injury. In particular, the invention relates to using a one or more assays configured to detect a kidney injury marker selected from the group consisting of Thymic stromal lymphopoietin, Vascular endothelial growth factor receptor 1, C—C motif chemokine 1, C—C motif chemokine 17, C—C motif chemokine 21, C—C motif chemokine 27, FLT-3 Ligand, Immunoglobulin G subclass 3, Interleukin-1 receptor type I, Interleukin-20, Interleukin-29, Interleukin-7, Platelet-derived growth factor A/B dimer, Platelet-derived growth factor A/A dimer, and MMP9:TIMP2 complex as diagnostic and prognostic biomarkers in renal injuries.

Provided herein are methods for assessing a disease score of a subject suffering from or suspected to be suffering from chronic obstructive pulmonary disease (COPD) or associated disease mechanisms, wherein the disease score represents COPD activity or a risk of a severe acute COPD event or mortality. The disease score can be used to stratify the subject into a specific risk category and can further inform patient management decisions. The methods can involve determining a biomarker signature including two or more biomarkers associated with COPD or COPD mechanisms. In some cases, the methods include timing of collection of patient samples with respect to acute event or treatment course. Further provided herein are methods for identifying and/or treating subjects having a greater risk of developing COPD exacerbations.

Biomarkers tests which can be used to predict a positive or negative risk of preeclampsia are described. More specifically, a panel of biomarkers including MMP-7 and gpIIbIIIa, described. The test is useful to predict preeclampsia when a biological sample is obtained between the 16.sup.th and 22.sup.nd week of pregnancy. Prediction later in pregnancy can be achieved by a combination of Siglec-6, Activin A, ALCAM, and/or FCN2.

An in-vitro method for the prediction, prognosis and/or diagnosis of an inflammatory response associated with a condition or disease such as schizophrenia in a subject, the method comprising determining in a sample of a subject the level of 25-hydroxy vitamin D3, preferably in combination with the level of least one biomarker wherein the at least one biomarker is selected from innate chemokine (IL-8) and matrix metalloproteinase (MMP-9); and comparing the levels of said 25-hydroxy vitamin D3 and at least one biomarker to a control level of 25-hydroxy vitamin D3 and the at least one biomarker respectively in order to determine a positive or negative prediction, prognosis and/or diagnosis of said inflammatory response indicating an associated condition or disease, such as schizophrenia.

The present invention relates to a novel MMP-8 activation product such as a MMP-8 middle-part activation product. The invention also relates to detecting such a MMP-8 activation product or activated MMP-8 fragments in a biological sample derived from a subject and to the use thereof for diagnosing diseases which relate to abnormal or elevated levels of activated MMP-8.

The disclosure provides a method for treating sickle cell disease with A Disintegrin And Metalloproteinase with Thrombospondin type 1 motif, member-13 (ADAMTS13). The disclosure provides a method for increasing ADAMTS13-mediated von Willebrand factor (VWF) cleavage in a subject suffering from sickle cell disease by administering ADAMTS13. The disclosure also provides a method of treating a vaso-occlusive crisis (VOC) in a subject suffering from sickle cell disease by administering ADAMTS13 after the onset of the VOC. The disclosure also provides a method of preventing a VOC in a subject suffering from sickle cell disease by administering ADAMTS13 prior to the onset of the VOC. The disclosure also provides a method of determining the efficacy of a treatment for a VOC in a mouse model.

Biomarkers useful for diagnosing and assessing inflammatory disease are provided, along with kits for measuring their expression. The invention also provides predictive models, based on the biomarkers, as well as computer systems, and software embodiments of the models for scoring and optionally classifying samples. The biomarkers include at least two biomarkers selected from the DAIMRK group and the score is a disease activity index (DAI).

Biomarkers tests which can be used to predict a positive or negative risk of preeclampsia are described. More specifically, a panel of biomarkers including MMP-7 and gpIIbIIIa, described. The test is useful to predict preeclampsia when a biological sample is obtained between the 16.sup.th and 22.sup.nd week of pregnancy. Prediction later in pregnancy can be achieved by a combination of Siglec-6, Activin A, ALCAM, and/or FCN2.

An antibody comprising an antigen recognition region which binds a catalytic site of MMP-7, having complementarity determining region (CDR) amino acid sequences as set forth in: SEQ ID NOs: 3 (CDR1), 4 (CDR2) and 5 (CDR3), sequentially arranged from N to C on a light chain of the antibody; and SEQ ID NOs: 6 (CDR1), 7 (CDR2) and 8 (CDR3), sequentially arranged from N to C on a heavy chain of the antibody.

Disclosed herein are methods of treating and making prognostic prediction of, monitoring of therapeutic outcome for treatment of cervical carcinoma in a patient in need thereof by quantifying gene expression in a sample, wherein the genes include 10 high risk genes; calculating the subject's survival risk score by determining the protein expression levels and their relationships using machine learning (ML) and artificial intelligence. The survival risk category of a patient is determined by the consensus or plurality voting of a large number of ML models that individually have excellent predictive potential, thus providing a very robust prognostic biomarker for cervical carcinoma.