BioSim™ anti-Natalizumab (Tysabri®) (Human) ELISA Kit

Alternate Name :

Tag Line :

A Sandwich ELISA kit for the quantitative measurement of antibody against Natalizumab in human serum or plasma.

Storage Conditions: 4ºC

Shelf life: 12 months

Summary :

Detection Method: Sandwich ELISA, Absorbance (450 nm)

Features & Benefits:

This ELISA kit is used for in vitro qualitative determination of antibody against Natalizumab in serum and plasma,Cross Reactivity: Natalizumab (Tysabri®)) infusion camouflages/masks the presence of antibody to Natalizumab in serum/plasma samples. Therefore, blood sampling time is critical for detection of anti-drug-antibodies. It is convenient to obtain blood sample just before the infusion or at least 2 weeks after the infusion of Natalizumab.

Description:

Natalizumab is a humanized IgG4k monoclonal antibody produced in murine myeloma cells. Natalizumab contains human framework regions and the complementarity-determining regions of a murine antibody that binds to a4-integrin. Natalizumab is used to treat multiple sclerosis-MS. It is thought to help by preventing patient’s immune system from attacking the nerves in the brain and spinal cord. Natalizumab is also used to treat a bowel condition called Crohn's disease (CD). BioVision’s BioSim™ anti- Natalizumab ELISA kit is designed to detect antibody against Natalizumab with high specificity and sensitivity in serum and plasma samples. anti-Natalizumab ELISA is based on the sandwich ELISA principle. Controls and samples are incubated in the microtiter plate coated with the drug Natalizumab. After incubation, the wells are washed. Then, HRP conjugated probe is added and binds to Natalizumab antibodies captured by the drug Natalizumab on the surface of the wells. Following incubation wells are washed and the bound enzymatic activity is detected by addition of chromogen-substrate. Finally, the reaction is terminated with an acidic stop solution. The color developed is proportional to the amount of Natalizumab antibodies in the sample or controls. The results can be evaluated with using cut-off value.