As a leading service provider in the field of antibody and immunotherapy development, Creative Biolabs is dedicating to providing a wide range of services on non-IgG therapeutic antibodies. Our scientists specialized in therapeutic antibodies studies will work with you to develop a most appropriate solution and strategy for your research. We have experienced experts and advanced platforms that are able to provide excellent services for IgM-based diagnosis.
IgM Application for Diagnosis
Immunoglobulin M (IgM), an auto-antibody in human, has been considered as a powerful diagnosis tool in a number of diseases, including immune diseases and various tumors. Recent studies have demonstrated that IgM has been widely used for evaluating the Epstein-Barr virus (EBV) infections in young children. Meanwhile, a wide variety of clinical studies have been conducted to diagnose small hepatocellular carcinoma (HCC) by using alpha-fetoprotein (AFP)-IgM complexes, which is an important biomarker and commonly used for HCC therapy. The results have confirmed that AFP-IgM complexes were useful in small HCC diagnosis with the sensitivity and specificity more than 89.1% and 65.0%, respectively. In addition, researchers have indicated that IgM antibody is sensitive when applied for leptospirosis diagnosis as an initial screen, while anti-IgM can also be applied for the early diagnosis of respiratory syncytial virus (RSV) infection. More importantly, serum IgM is greatly helpful in the diagnosis of neonatal infections, particularly for those infections are not clinically obvious and atypical that may have serious sequelae in later life. Therefore, a series of assays have been developed for assessing the reliability, sensitivity, and specificity of numerous IgM antibodies in different diseases diagnosis. Currently, the detection assays of IgM antibodies have been performed by using a panel of serology techniques, such as ELISA.
The Assays for IgM-Based Diagnosis
Creative Biolabs has generated, modified and engineered many IgM antibodies to meet the requirement of IgM diagnosis. On this basis, we have developed a full range of assays for detecting the IgM antibodies, our assays include, but are not limited to:
Enzyme-linked immunosorbent assay (ELISA)
ELISA is the most commonly used system for the detection of antibodies of IgM. In this assay, various IgM antibodies are tested by using an alkaline phosphatase labeled anti-IgM and a specific coating antigen in serum samples of patients. The quantitation of specific IgM antibodies by an ELISA test can offer reliable data on the study of immunity against disease in different individuals. We have successfully accomplished a series of ELISA assays for IgM diagnosis, such as quantitative detection of IgM serum antibodies against meningitis, HCC, EBV infection, as well as RSV infection.
The IgM lateral flow assay
In this assay, the specific anti-IgM antibodies are labeled by colloidal gold particles and the serum samples of patients are collected for detection. If the sample has specific IgM antibodies, the IgM antibodies can bind with the lipopolysaccharide (LPS) antigen and the sample will be stained by detection reagent. The results can be observed by the presence of a red line in the test area. In addition, the control sample is widely used to ensure the accuracy of this assay. A red line can be always obtained in the control sample to validate the stability of our assay.
Fig.1 Representation of the procedures for coating papers and conjugated with anti-human IgM antibodies. (Ortega, 2017)
With the availability of profound immunotherapy knowledge, certified technical staff, and numerous state-of-the-art instruments, Creative Biolabs has developed a number of antibody development solutions for worldwide customers. With our proven competencies and expertise, we are therefore confident in offering the best services for the non-lgG therapeutic antibodies. If you are interested in our services, please contact us for more details.
- Ortega, G.A., et al. Magnetic paper-based ELISA for IgM-dengue detection. RSC Adv. 2017, 7: 4921-4932.
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