The performance of a Fully Automated Urine Particle Analyzer, Sysmex UF-5000, in detecting fastidious bacteria in urine samples.

Several types of fastidious bacteria can cause tract infections. We evaluated the performance of counting fastidious bacteria using a Fully Automated Urine Particle Analyzer UF-5000. The results showed that UF-5000 counts fastidious bacteria in urine without the need for culture using measurement principles based on flow cytometry.

Multi-drug resistance pattern and genome-wide SNP detection in levofloxacin-resistant uropathogenic Escherichia coli strains.

Objectives: Antibiotic treatment is extremely stressful for bacteria and has profound effects on their viability. Such administration induces physiological changes in bacterial cells, with considerable impact on their genome structure that induces mutations throughout the entire genome. This study investigated drug resistance profiles and structural changes in the entire genome of uropathogenic Escherichia coli (UPEC) strains isolated from six adapted clones that had evolved under laboratory conditions.

Prediction of presence of fastidious bacteria by the Fully Automated Urine Particle Analyzer UF-1000i in the case of ineffective antimicrobial therapy for urinary tract infection.

Introduction: Recent studies have reported associations between fastidious bacteria that are difficult to grow and isolate in conventional urine culture conditions and urinary tract infections (UTIs). Because the Fully Automated Urine Particle Analyzer UF-1000i (hereinafter referred to as "UF-1000i") detects fastidious bacteria without being affected by culture conditions, owing to its flow cytometry-based principle, we evaluated the robustness of UF-1000i detection using clinical urine samples from patients with UTIs following ineffective antimicrobial therapy.

Methods: A total of 150 patients diagnosed with UTIs were enrolled, and their laboratory findings were analyzed, focusing on the discrepancy in bacterial numbers between UF-1000i and conventional culture at each antimicrobial therapy effectiveness classification.

Nationwide external quality assessment of SARS-CoV-2 nucleic acid amplification tests in Japan.

Objectives: We conducted a nationwide external quality assessment (EQA) study of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleic acid amplification testing in Japan.

Methods: A total of 563 public health and private sector laboratories participated. The EQA samples comprised 6 RNA and full-process controls.

Genomic Sequences of Uropathogenic Escherichia coli Strains with Various Fluoroquinolone Resistance Profiles.

The emergence of drug-resistant uropathogenic (UPEC) has hampered antibiotic therapy for urinary tract infections. To elucidate the resistance mechanisms of UPEC, we performed whole-genome sequencing of eight UPEC strains with different fluoroquinolone resistance levels. Here, we report our sequencing data, providing a valuable resource for understanding such mechanisms.

Combination analysis of a whole lymph node by one-step nucleic acid amplification and histology for intraoperative detection of micrometastasis.

Objective: The aim was to develop a more efficient molecular detection system than histological examination (HE) for lymph node (LN) metastasis.

Methods: Cytokeratin (CK) 19 mRNA copy numbers of 5 colon carcinoma cell lines (Lovo, DLD1, WiDr, Colo201 and Colo320) were calculated and compared by one-step nucleic acid amplification (OSNA) and conventional real-time reverse-transcription polymerase chain reaction (RT-PCR). Then, 91 LN submitted for HE from 6 patients with advanced colorectal adenocarcinoma and 64 LN submitted for frozen diagnosis from 47 patients with different malignancies were examined by OSNA and HE.

The use of flow cytometry as a diagnostic test for malaria parasites.

A total of 453 clinical blood samples were determined for malaria parasites by flow cytometric assay (FCM) and reagents from Sysmex Corporation, Japan. In this study, the FCM greatly simplified and accelerated parasite detection, with sensitivity of 91.26%, specificity 86.