Predicción de biomarcadores en mucopolisacaridosis empleando una red metabólica humana

摘要: Mucopolysaccharidosis (MPS) are lysosomal storage diseases characterized by a deficiency in the enzymes responsible for degradation of glycosaminoglycans (GAG), this leads to their accumulation and onset number pathological processes characteristic disease. The early detection treatment important prevent deterioration quality life patient. Measuring GAG biofluids is universal biomarker these diseases, however, processing analysis laboratory results may become difficult interpret vary with each patient, so new biomarkers would have an impact on diagnosis monitoring which could guarantee health insurance mechanism diseases. In paper presents computational approximation predict biological markers metabolic alterations from flux variation (balance flow variability analysis) human reconstruction recon 2- different types mucopolysaccharidoses.