[Evaluation of the Bio-Speedy Meningitis/Encephalitis Panel in the Diagnosis of Central Nervous System Infections]. / Merkezi Sinir Sistemi Enfeksiyonlarinin Tanisinda Bio-Speedy Menenjit/Ensefalit Panelinin Degerlendirilmesi.

Infections of the central nervous system (CNS) can lead to severe outcomes if not accurately diagnosed and treated. The broad spectrum of pathogens involved in CNS infections can make diagnosis challenging. Polymerase chain reaction (PCR) -based multiplex molecular diagnostic panels can rapidly and simultaneously detect multiple neuropathogens in cerebrospinal fluid (CSF). This study was aimed to assess the Bio-Speedy Meningitis/Encephalitis RT-PCR MX-17 panel (Bioeksen, Istanbul, Türkiye), a novel multiplex PCR test, in diagnosing CNS infections. The panel can detect a range of pathogens, including Escherichia coli K1, Haemophilus influenzae, Listeria monocytogenes, Neisseria meningitidis, Streptococcus pneumoniae, Streptococcus agalactiae, enterovirus (EV), herpes simplex virus (HSV) 1 and 2, HHV-6, HHV-7, HHV-8, human parechovirus (HPeV), varicella zoster virus (VZV), cytomegalovirus (CMV) and Cryptococcus gatti/neoformans in CSF samples. This retrospective study included 128 CSF samples from 128 patients sent to Bursa Uludag University Health Application and Research Center Microbiology Laboratory between June 2022 and July 2023 to search for CNS infectious agents. Patient clinical, radiological and laboratory data were collected from the Hospital Information Record System (HIRS). Bacterial pathogens were identified through culture, while viral pathogens were detected in CSF samples using the Fast Track Diagnostics (FTD) multiplex RT-PCR panel (Fast Track Diagnostics Ltd., Luxembourg) for HSV-1, HSV-2, VZV, EV, mumps virus and HPeV. The stored CSF samples were then tested using the BioSpeedy panel and the results were compared with those of the culture and the FTD panel. Pathogens that were detected were considered positive if they were consistent with the patient's symptoms and CSF characteristics according to infectious disease and pediatric infectious disease specialists. Pathogens detected but not supported by the patient's symptoms and CSF characteristics were classified as uncertain clinical relevance (UCR). Out of the 128 patients tested for CNS infectious agents, 44 (34.4%) were diagnosed with a CNS infection. The overall pathogen detection rate with all methods was 43.2% (19/44). The Bio-Speedy panel identified pathogens in 29.5% (13/44) of the patients, followed by the FTD panel (20.5%, 9/44) and culture (9.1%, 4/44). Four bacteria were identified with culture, three of which were also detected by the Bio-Speedy panel. Additionally, six bacteria were identified with Bio-Speedy panel, that were not identified by culture. The FTD panel identified nine viruses, four of which were also identified by Bio-Speedy. In total, the Bio-Speedy panel detected 13 of the 19 positive pathogens (nine bacteria and four viruses: [S.pneumoniae (n= 3), VZV (n= 3), N.meningitidis (n= 2), H.influenzae (n= 2), L.monocytogenes (n= 1), E.coli (n= 1) ve EV (n= 1)]. However, the Bio-Speedy panel identified 15 pathogens [S.pneumoniae (n= 1), E.coli (n= 1), C.gatti/neoformans (n= 1), CMV (n= 8), HHV-6 (n= 3) ve HHV-7 (n= 1)] considered as UCR. The Bio-Speedy identified the causative pathogens in the highest percentage (29.5%) of patients with confirmed CNS infections. Nevertheless, test results should be interpreted based on patient characteristics to ensure appropriate patient management. Using multiple methods and multiplex tests may improve diagnostic accuracy for CNS infections.

Synergistic antibacterial activity of ceftazidime-avibactam in combination with colistin, gentamicin, amikacin, and fosfomycin against carbapenem-resistant Klebsiella pneumoniae.

Carbapenem-resistant Klebsiella pneumoniae (CPKP) infections seriously threaten global public health. The main objective of this study was to assess the in-vitro synergistic activity of ceftazidime-avibactam (CZA) in combination with colistin (COL), amikacin (AK), gentamicin (GEN), and fosfomycin (FOS) against CPKP isolates. The secondary goal was to determine the antibiotic susceptibility performance of BD Phoenix. OXA-48 (49.1%) was the predominant carbapenemase, followed by KPC (29.1%). We used the broth microdilution (BMD) method to determine the minimum inhibitory concentrations (MICs) of CZA, COL, AK, and GEN. Meanwhile, the MICs of FOS were determined by the agar dilution (AD) method. To examine the antibacterial activity of CZA, we conducted a checkerboard assay (CBA) with COL, AK, GEN, and FOS against CRKP isolates. We randomly selected three strains and performed synergy testing via time-kill assay (TKA). CRKP isolates were 89.1% susceptible to CZA, 16.4% to COL, 21.8% to GEN, and 29.1% to AK using BMD, 47.3% to FOS by AD. The most synergistic effects were observed in the combination of CZA-COL (78.2%) and CZA-FOS (63.6%). Given the limited therapeutic options for treating severe CRKP infections, combining CZA with COL and FOS may enhance in-vitro activity against clinical CRKP isolates.

Diagnostic Utility of Cytomegalovirus (CMV) DNA Quantitation in Ulcerative Colitis.

Cytomegalovirus (CMV) colitis is a critical condition associated with severe complications in ulcerative colitis (UC). This study aimed to investigate the diagnostic value of the presence of CMV DNA in intestinal mucosa tissue and blood samples in patients with active UC. This study included 81 patients with exacerbated symptoms of UC. Patient data were obtained from the Hospital Information Management System. CMV DNA in colorectal tissue and plasma samples were analyzed using a real-time quantitative PCR assay. CMV markers were detected using immunohistochemistry and hematoxylin-eosin staining. Immunohistochemistry positivity was observed in tissue samples from eight (9.9%) patients. Only one (1.2%) patient showed CMV-specific intranuclear inclusion bodies. CMV DNA was detected in 63.0% of the tissues (median: 113 copies/mg) and in 58.5% of the plasma samples (median: 102 copies/mL). For tissues, sensitivity and the negative predictive value (NPV) for qPCR were excellent (100.0%), whereas specificity and the positive predictive value (PPV) were low (41.9% and 15.7%, respectively). For plasma, sensitivity and NPV were high (100.0%) for qPCR, whereas specificity and PPV were low (48.6% and 24.0%, respectively). CMV DNA ≥392 copies/mg in tissue samples (sensitivity 100.0% and specificity 83.6%) and ≥578 copies/mL (895 IU/mL) in plasma samples (sensitivity 66.7% and specificity 100.0%) provided an optimal diagnosis for this test. The qPCR method improved patient management through the early detection of CMV colitis in patients with UC. However, reliance on qPCR positivity alone can lead to overdiagnosis. Quantification of CMV DNA can improve diagnostic specificity, although standardization is warranted.

Performance comparison of BD Phoenix CPO detect panel with Cepheid Xpert Carba-R assay for the detection of carbapenemase-producing Klebsiella pneumoniae isolates.

BACKGROUND: We aimed to compare the performance of carbapenemase classification in carbapenem-resistant Klebsiella pneumoniae (CRKP) obtained using the BD Phoenix CPO Detect panel (CPO panel) and Cepheid Xpert Carba-R assays. We analyzed 55 CRKP strains from clinical specimens collected between November 2020 and November 2022. The CPO panel was used to detect both antibiotic susceptibility and phenotypic carbapenemase classes, while Xpert Carba-R was employed to identify KPC, NDM, VIM, OXA-48, and IMP genes. Due to the limited availability of molecular kits, we arbitrarily selected 55 isolates, identified as carbapenemase-producing according to the CPO panel and with meropenem minimum inhibitory concentration values > 8 mg/L. RESULTS: According to the Xpert Carba-R assay, 16 of the 55 isolates (29.1%) were categorised as Ambler Class A (11 of which matched CPO panel Class A identification); three isolates (5.5%) were identified as Class B and 27 isolates (49.1%) as Class D (in both cases consistent with CPO panel B and D classifications). A further eight isolates (14.5%) exhibited multiple carbapenemase enzymes and were designated as dual-carbapenemase producers, while one isolate (1.8%) was identified as a non-carbapenemase-producer. The CPO panel demonstrated positive and negative percent agreements of 100% and 85.7% for Ambler Class A, 100% and 100% for Class B, and 96.4% and 100% for Class D carbapenemase detection, respectively. CONCLUSION: While the CPO panel's phenotypic performance was satisfactory in detecting Class B and D carbapenemases, additional confirmatory testing may be necessary for Class A carbapenemases as part of routine laboratory procedures.

Investigation of the Defective Growth Pattern and Multidrug Resistance in a Clinical Isolate of Candida glabrata Using Whole-Genome Sequencing and Computational Biology Applications.

Candida glabrata is increasingly isolated from blood cultures, and multidrug-resistant isolates have important implications for therapy. This study describes a cholesterol-dependent clinical C. glabrata isolate (ML72254) that did not grow without blood (containing cholesterol) on routine mycological media and that showed azole and amphotericin B (AmB) resistance. Matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) and whole-genome sequencing (WGS) were used for species identification. A modified Etest method (Mueller-Hinton agar supplemented with 5% sheep blood) was used for antifungal susceptibility testing. WGS data were processed via the Galaxy platform, and the genomic variations of ML72254 were retrieved. A computational biology workflow utilizing web-based applications (PROVEAN, AlphaFold Colab, and Missense3D) was constructed to predict possible deleterious effects of these missense variations on protein functions. The predictive ability of this workflow was tested with previously reported missense variations in ergosterol synthesis genes of C. glabrata. ML72254 was identified as C. glabrata sensu stricto with MALDI-TOF, and WGS confirmed this identification. The MICs of fluconazole, voriconazole, and amphotericin B were >256, >32, and >32 µg/mL, respectively. A novel frameshift mutation in the ERG1 gene (Pro314fs) and many missense variations were detected in the ergosterol synthesis genes. None of the missense variations in the ML72254 ergosterol synthesis genes were deleterious, and the Pro314fs mutation was identified as the causative molecular change for a cholesterol-dependent and multidrug-resistant phenotype. This study verified that web-based computational biology solutions can be powerful tools for examining the possible impacts of missense mutations in C. glabrata. IMPORTANCE In this study, a cholesterol-dependent C. glabrata clinical isolate that confers azole and AmB resistance was investigated using artificial intelligence (AI) technologies and cloud computing applications. This is the first of the known cholesterol-dependent C. glabrata isolate to be found in Turkey. Cholesterol-dependent C. glabrata isolates are rarely isolated in clinical samples; they can easily be overlooked during routine laboratory procedures. Microbiologists therefore need to be alert when discrepancies occur between microscopic examination and growth on routine media. In addition, because these isolates confer antifungal resistance, patient management requires extra care.