AADNMR: A Simple Method for Rapid Identification of Bacterial/Mycobacterial Infections in Antibiotic Treated Peritoneal Dialysis Effluent Samples for Diagnosis of Infectious Peritonitis
Anupam Guleria, Nitin K Bajpai, Atul Rawat, C L Khetrapal, Narayan, Prasad, Dinesh Kumar

TL;DR
The paper introduces AADNMR, a rapid NMR-based method that uses antibiotics to detect cyclic fatty acids in bacterial membranes, enabling quick identification of bacterial or mycobacterial infections in peritoneal dialysis effluent samples.
Contribution
This study presents a novel NMR technique that employs antibiotics to suspend microbial fatty acids, allowing their detection and differentiation of bacterial, mycobacterial, and fungal infections.
Findings
Successfully identified bacterial and mycobacterial infections using NMR.
Differentiated bacterial from fungal infections in clinical samples.
Demonstrated rapid diagnosis potential for infectious peritonitis.
Abstract
An efficient method is reported for rapid identification of bacterial or mycobacterial infection in a suspected clinical/biological sample. The method is based on the fact that the ring methylene protons of cyclic fatty acids (constituting the cell membrane of several species of bacteria and mycobacteria) resonate specifically between -0.40 and 0.68 ppm region of the 1H NMR spectrum. These cyclic fatty acids are rarely found in the eukaryotic cell membranes. Therefore, the signals from cyclic ring moiety of these fatty acids can be used as markers (a) for the identification of bacterial and mycobacterial infections and (b) for differential diagnosis of bacterial and fungal infections. However, these microbial fatty acids when present inside the membrane are not easily detectable by NMR owing to their fast T2 relaxation. Nonetheless, the problem can easily be circumvented if these fatty…
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Taxonomy
TopicsBacterial Identification and Susceptibility Testing · Clostridium difficile and Clostridium perfringens research · Mycobacterium research and diagnosis
