Affiliations 

  • 1 Institute of Pharmaceutical Research, GLA University, Mathura, Pin Code 281406, U. P., India. smartjitu79@gmail.com
  • 2 Advanced Technical College, University of Warith Al-Anbiyaa, Karbala, Iraq
  • 3 Faculty of Data Science and Information Technology, INTI International University, Persiaran Perdana BBN, Putra Nilai, 71800, Nilai, Malaysia. narinderjits.sawaran@newinti.edu.my
  • 4 Department of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to Be University), Bangalore, Karnataka, India
  • 5 Department of Biochemistry, IMS and SUM Hospital, Siksha 'O' Anusandhan (Deemed to Be University), Bhubaneswar, Odisha, 751003, India
  • 6 Department of Chemistry Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India
  • 7 University Institute of Pharma Sciences, Chandigarh University, Mohali, Punjab, India
  • 8 Faculty of Educational Sciences, Al-Ahliyya Amman University, Amman, 19328, Jordan
  • 9 Kimyo International University in Tashkent, Shota Rustaveli Str. 156, 100121, Tashkent, Uzbekistan
  • 10 University of Tashkent for Applied Sciences, Str. Gavhar 1, 100149, Tashkent, Uzbekistan
Folia Microbiol (Praha), 2026 Feb;71(1):21-33.
PMID: 41108514 DOI: 10.1007/s12223-025-01367-0

Abstract

Bloodstream infections (BSIs) represent a significant clinical challenge due to their high morbidity and mortality rates, compounded by the increasing prevalence of antimicrobial resistance (AMR). Even though they are regarded as the gold standard, traditional diagnostic techniques like blood cultures frequently have low sensitivity and delayed findings. Rapid molecular diagnostics (RMDs) have completely changed how BSIs are identified and treated. By using cutting-edge methods like next-generation sequencing (NGS), loop-mediated isothermal amplification (LAMP), polymerase chain reaction (PCR), and microarray-based approaches, RMDs allow for the quick, precise, and thorough identification of pathogens and resistance markers straight from blood samples. By drastically cutting down on diagnostic delays, these technologies enable early targeted therapy start, better clinical results, and less need on broad-spectrum antibiotics, which are the primary cause of AMR. Additionally, advancements like NGS improve diagnostic accuracy by offering profound insights into pathogen genomes, virulence factors, and resistance mechanisms. Barriers including high prices, integration difficulties, and the requirement for specialized knowledge prevent them from being widely adopted, despite their transformational potential. Nevertheless, these issues are being addressed by continuous developments in automation and point-of-care (POC) systems, which should make RMDs more affordable and widely available. In order to improve therapeutic accuracy, reduce AMR, and advance infection control techniques, this research emphasizes the crucial role that RMDs play in the management of BSI. In order to improve customized medicine strategies, future initiatives include streamlining diagnostic processes and combining molecular diagnostics with clinical decision support technologies.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.