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Advancing personalized medicine for tuberculosis through the application of immune profiling

  • Vo Thuy Anh Thu
  • , Ly Da Dat
  • , Rannissa Puspita Jayanti
  • , Hoang Kim Tu Trinh
  • , Tran Minh Hung
  • , Yong Soon Cho
  • , Nguyen Phuoc Long*
  • , Jae Gook Shin*
  • *此作品的通信作者
  • Inje University
  • University of Medicine and Pharmacy at Ho Chi Minh City
  • Department of Pharmacology and PharmacoGenomics Research Center
  • Center for Personalized Precision Medicine of Tuberculosis

研究成果: 期刊稿件文獻綜述同行評審

16 引文 斯高帕斯(Scopus)

摘要

While early and precise diagnosis is the key to eliminating tuberculosis (TB), conventional methods using culture conversion or sputum smear microscopy have failed to meet demand. This is especially true in high-epidemic developing countries and during pandemic-associated social restrictions. Suboptimal biomarkers have restricted the improvement of TB management and eradication strategies. Therefore, the research and development of new affordable and accessible methods are required. Following the emergence of many high-throughput quantification TB studies, immunomics has the advantages of directly targeting responsive immune molecules and significantly simplifying workloads. In particular, immune profiling has been demonstrated to be a versatile tool that potentially unlocks many options for application in TB management. Herein, we review the current approaches for TB control with regard to the potentials and limitations of immunomics. Multiple directions are also proposed to hopefully unleash immunomics’ potential in TB research, not least in revealing representative immune biomarkers to correctly diagnose TB. The immune profiles of patients can be valuable covariates for model-informed precision dosing-based treatment monitoring, prediction of outcome, and the optimal dose prediction of anti-TB drugs.

原文英語
文章編號1108155
期刊Frontiers in Cellular and Infection Microbiology
13
DOIs
出版狀態已出版 - 10 02 2023
對外發佈

文獻附註

Publisher Copyright:
Copyright © 2023 Thu, Dat, Jayanti, Trinh, Hung, Cho, Long and Shin.

UN SDG

此研究成果有助於以下永續發展目標

  1. SDG3 健康與福祉
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