Hyaluronic Acid Detection Service

Hyaluronic acid (HA) is a ubiquitous molecule with a wide range of physiological functions. It is an intrinsic molecule in the knee joint and can be used as a biomarker for indicating osteoarthritis. In addition, HA can be used as an indicator of disease progression. Creative BioMart Biomarker offers high quality detection service for HA, ensuring high detection accuracy, sensitivity and efficiency for each sample.

Introduction

HA is also known as hyaluronan, which is almost ubiquitous in the body. HA is the simplest glycosaminoglycan (GAG), and also the only GAG that is not synthesized in the Golgi apparatus. The HA solution always exhibits a high viscosity. It is a water soluble polymer with special enzymatic degradation. The synthesis of HA does not need to be attached to the core protein. It is the main component of the extracellular matrix (ECM) and is present in some soft connective tissues, including synovial fluid, ocular vitreous, cartilage and skin. Combined with its rheological properties, HA has a protective effect on cartilage, which helps to explain the long-term beneficial effects of HA on articular cartilage. HA exists in two forms based on the chain length, namely low molecular weight HA chain (LMWHA) and high molecular weight HA chain (HMWHA). The functions of cell communication, movement and morphogenesis are due to the interaction of transparent plasmids with tissue receptors, mainly CD44 and RHAMM on the cell surface. Reduce inflammation and apoptosis by down-regulating many of the factors that cause ECM. HMWHA inhibits phagocytosis, macrophage activation, and production of inflammatory cytokines. The HMWHA chain can be broken down into LMWHA, which has pro-inflammatory effects. These fragments secrete inflammatory cytokines and stimulate angiogenesis and tissue remodeling after activation of the endogenous signaling pathway. They promote the activation and maturation of dendritic cells and release pro-inflammatory cytokines. Molecular changes in the damaged joint ECM alter the composition and structure of the native HA. With the secretion of molecules and tissue remodeling, pathological development has also taken place. As OA progresses, the natural HA concentration and the distribution of intra-articular HA change, resulting in a decrease in the mechanical/viscoelastic properties of the endogenous synovial fluid. The abundance and size distribution of HA in biological fluids is considered to be an indicator of inflammation.

Application of HA Detection

Application of HA Detection

  • Serum and plasma HA levels as biomarkers to predict bone diseases, such as osteoarthritis.

Our Advantages

  • Guarantee high accuracy and sensitivity for HA detection
  • Ensure high repeatability of HA detection
  • Short turn-around time of detection service
  • Competitive price in the market of detection services
  • Accept a wide range of sample types (serum, plasma, etc.)

Detection Technologies

  • ELISA

Workflow of HA Detection at Creative BioMart Biomarker

Creative BioMart Biomarker strictly controls each specific experimental step in the HA detection procedure to ensure accurately quantify the level of HA in each sample.

Hyaluronic Acid Detection Service

At Creative BioMart Biomarker, we not only provide high-quality HA detection service, but also provide detection services for other biomarkers. You can communicate with our experts according to your research needs, and we will determine the final detection technological scheme based on the communication results. Please feel free to contact us, Creative BioMart Biomarker is here to offer you professional and thoughtful service.

References:

  1. Terpos, E.; et al. The role of markers of bone remodeling in multiple myeloma. Blood Reviews. 2005, 19(3): 125-142.
  2. Eastell, R.; Szulc, P. Use of bone turnover markers in postmenopausal osteoporosis. The Lancet Diabetes & Endocrinology. 2017, 11(5): 908-923.
  3. Unnanuntana, A.; et al. The assessment of fracture risk. Journal of Bone & Joint Surgery American Volume. 2010, 92(3): 743-753.

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