DNA-based microarray studies in visceral leishmaniasis: identification of biomarkers for diagnostic, prognostic and

Awanish Kumar1, Satish Chandra Pandey2, Mukesh Samant3

  • 1Department of Biotechnology, National Institute of Technology, Raipur (Chhattisgarh), INDIA.

Acta Tropica
|May 12, 2020
PubMed

Insights

Visceral leishmaniasis (VL) research benefits from DNA microarray technology for identifying new drug targets and biomarkers. This review emphasizes curated knowledge to overcome data challenges for improved VL diagnosis and treatment.

Area of Science:

  • Parasitology
  • Infectious Diseases
  • Biotechnology

Background:

  • Visceral leishmaniasis (VL) is a significant global health issue, particularly in impoverished areas.
  • Current treatments for VL are suboptimal, with rising drug resistance and no available vaccine.
  • Novel diagnostic and therapeutic strategies are urgently needed for effective VL control.

Purpose of the Study:

  • To review the application of DNA microarray technology in visceral leishmaniasis research.
  • To highlight the potential of DNA microarrays in identifying drug targets and biomarkers for VL.
  • To discuss the challenges and strategies for interpreting microarray data in the context of VL.

Main Methods:

  • An electronic literature search was performed on Medline and Scopus using keywords 'VL' and 'Microarray'.
  • Selected English-language papers detailing DNA microarray use in VL were reviewed.
  • Functional analysis and interpretation of microarray data were discussed.

Main Results:

  • DNA microarrays offer a powerful tool for understanding VL disease mechanisms.
  • Microarray analysis can facilitate the identification of potential therapeutic targets and diagnostic biomarkers for VL.
  • Challenges in data interpretation require curated knowledge and robust analytical approaches.

Conclusions:

  • DNA microarray technology holds significant promise for advancing VL research.
  • Effective utilization of curated microarray data can aid in the selection and clinical implementation of novel therapeutic targets and biomarkers.
  • Further development in data analysis is crucial for maximizing the impact of microarrays in combating VL.