Literature DB >> 18085120

Varied distribution of RhD epitopes in the Indian population.

S S Kulkarni1, S C Gupte, K Vasantha, D Mohanty, K Ghosh.   

Abstract

BACKGROUND: Inhabited by more than 4000 caste and tribal groups, India has an extremely heterogenous population. For thousands of years many tribal groups have practised endogamy and are practically genetically isolated. Traditionally, polyclonal anti-D reagent has been used for RhD typing; though monoclonal antibodies are increasingly being used. As a result, blood banks find it difficult to assign the RhD status to an increasing number of people. As monoclonal anti-D typing reagents may not detect all RhD antigen epitopes, we studied the RhD antigen epitope heterogeneity in different population groups in India.
METHODS: Red cells of 5315 RhD-positive individuals belonging to different castes and tribes of India were tested with 30 different epitope-specific monoclonal anti-D antibodies.
RESULTS: No single monoclonal antibody could detect all RhD-positive red cells detected by polyclonal antisera. The highest proportion of D antigen was detected by LHM 76/55 and BRAD-8 (98%) monoclonal antibodies.
CONCLUSION: We need to determine the correct mix of monoclonal antibodies that will detect nearly all RhD antigens detected by polyclonal anti-D sera. Similarly, before accepting monoclonal anti-D for therapeutic use, it would be necessary to determine the appropriate ones for use in the Indian population.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 18085120

Source DB:  PubMed          Journal:  Natl Med J India        ISSN: 0970-258X            Impact factor:   0.537


  4 in total

1.  A simple diagnostic strategy for RhD typing in discrepant cases in the Indian population.

Authors:  Swati Kulkarni; Vasantha Kasiviswanathan; Kanjaksha Ghosh
Journal:  Blood Transfus       Date:  2012-07-12       Impact factor: 3.443

2.  RHD-Positive Alleles among D- C/E+ Individuals from India.

Authors:  Swati S Kulkarni; Harita Gogri; Disha Parchure; Garima Mishra; Kanjaksha Ghosh; Sunil Rajadhyaksha; Manisha Madkaikar; Claude Férec; Yann Fichou
Journal:  Transfus Med Hemother       Date:  2018-01-10       Impact factor: 3.747

3.  Transfusion medicine in India: Expanding horizons.

Authors:  Neelam Marwaha
Journal:  Asian J Transfus Sci       Date:  2014

4.  Frequency of variant D in Delhi, India.

Authors:  Sangeeta Pahuja; Meenu Pujani; Neha Sethi; Shivani Kushwaha; Manjula Jain; Ritu Kumari
Journal:  Asian J Transfus Sci       Date:  2014-07
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.