Lyme disease and new molecular biological detection methods

Document Type : Review

Authors

1 Applied Biotechnology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran

2 Department of Biology, Payame Noor University (PNU), Tehran, Iran

3 Molecular Biology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran

4 Department of Biochemistry and Biophysics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran

Abstract

Molecular biology is a crucial tool for understanding the structures, functions, and internal controls within cells. Its applications span from diagnosing diseases to developing new medicines and improving our understanding of cellular physiology. However, diagnosing Lyme disease presents unique challenges as the bacteria responsible for the disease are difficult to observe directly in body tissues and are slow-growing in laboratory environments. Lyme disease can affect multiple body systems and exhibit a range of non-specific symptoms, which can complicate diagnosis. Common laboratory diagnostics also have high rates of false positives in contaminated areas. To overcome these limitations, scientists have focused on developing fast and accurate diagnostic methods using molecular biology. Researchers have identified Borrelia burgdorferi, a type of gram-negative spirochete bacteria, as the primary cause of Lyme disease, but other species can also cause the disease. Accurate molecular tests have been designed to identify specific strains of Borrelia with precision. This study reviewed 131 related articles from Scopus, ISI, and PubMed databases and reported methods for creating accurate molecular tests to detect disease agents. These developments represent a significant step towards a more effective diagnosis and treatment of Lyme disease. The study analyzed the varied approaches and techniques outlined in the literature to create a cohesive understanding of the most effective methods for designing molecular tests. Ultimately, the study reported on the optimal methods for designing and implementing accurate molecular tests to diagnose and isolate disease agents.

Keywords

References

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Journal of Preventive and Complementary Medicine
Volume 2, Issue 1
February 2023
Pages 11-23

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History

  • Receive Date: 12 December 2022
  • Revise Date: 03 January 2023
  • Accept Date: 10 January 2023

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