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Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Omics and Multiomics-Based Diagnostics for Invasive Candidiasis: Toward Precision Medicine.

Aida Pitarch1, Víctor Arribas1, Concha Gil1

  • 1Faculty of Pharmacy, Department of Microbiology and Parasitology, Complutense University of Madrid (UCM), Madrid, Spain.

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|November 14, 2025
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Invasive candidiasis diagnostics are urgently needed. Omics technologies offer innovative biomarker discovery for early detection and personalized treatment, improving patient outcomes and reducing healthcare costs.

Keywords:
Candida albicansdiagnosisinvasive candidiasispanomicstranslational medicine

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Area of Science:

  • * Mycology and Infectious Diseases
  • * Molecular Diagnostics and Bioinformatics
  • * Precision Medicine

Background:

  • * Invasive candidiasis (IC) is a severe, life-threatening, and costly healthcare-associated infection caused by Candida species.
  • * Current diagnostic methods for IC are limited by nonspecific symptoms and a lack of early, accurate detection, leading to delayed treatment and high mortality rates.
  • * The emergence of multidrug-resistant Candida strains further complicates treatment, underscoring the need for advanced diagnostic solutions.

Purpose of the Study:

  • * To review the role of current and emerging omics technologies in developing innovative diagnostic biomarkers for invasive candidiasis.
  • * To explore how integrating multi-omic data can lead to multidimensional biomarker signatures and computational algorithms for improved IC diagnosis.
  • * To discuss the future challenges and prospects for the clinical implementation of these next-generation diagnostics.

Main Methods:

  • * Comprehensive review of omics technologies including genomics, transcriptomics, proteomics, metabolomics, glycomics, immunomics, and microbiomics.
  • * Analysis of biomarker development for early diagnosis, antifungal susceptibility, prognosis, follow-up, and therapeutic monitoring in IC.
  • * Exploration of data integration strategies like integromics, multiomics, and panomics, coupled with systems biology and artificial intelligence.

Main Results:

  • * Omics technologies provide a powerful platform for discovering novel biomarkers for various aspects of IC management.
  • * Integration of multi-omic data holds significant potential for creating robust diagnostic signatures and predictive algorithms.
  • * Next-generation diagnostics based on omics approaches promise to revolutionize IC management through personalized medicine.

Conclusions:

  • * Advanced omics technologies are crucial for developing urgently needed innovative diagnostic tools for invasive candidiasis.
  • * The integration of multi-omic data and AI can significantly enhance the accuracy and timeliness of IC diagnosis and treatment.
  • * Future clinical implementation of these technologies will enable more precise, personalized treatment decisions, improving patient outcomes and reducing healthcare burdens.