Improving pulmonary infection diagnosis with metagenomic next-generation sequencing of bronchoalveolar lavage fluid

Introduction. Inappropriate use of antibiotics and inadequate therapeutic regimens for early-stage pulmonary infections are major contributors to increased prevalence of complications and mortality. Moreover, due to the limitations in sensitivity of conventional testing, there is an urgent need for more diagnostically efficient methods for the detection and characterization of pathogens in pulmonary infections.Hypothesis/Gap Statement. Metagenomic next-generation sequencing (mNGS) can contribute to the diagnosis and management of pulmonary infections.Aim. This study aimed to evaluate the clinical application and value of mNGS in the diagnosis of clinically suspected pulmonary infections by comparing with conventional testing.Methodology. In this study, the diagnosis performance of mNGS was evaluated using bronchoalveolar lavage fluid (BALF) samples from 143 patients with suspected lung infections. First, we conducted a prospective study on 31 patients admitted to Yuebei People's Hospital Affiliated to Shantou University Medical College to investigate the clinical value. Then a retrospective analysis was performed by including more patients (n=112) to reduce the random error. Pathogens were detected by mNGS and conventional methods (culture and PCR). Then, the types and cases of detected pathogens, as well as the specificity and sensitivity, were compared between the two methods. We evaluated the performance of mNGS in detecting bacterial, fungal, viral and mixed infections in BALF. The effect of disease severity in pulmonary infections on the integrity of mNGS pathogen detection was also explored.Results. The mNGS provided an earlier and more comprehensive pathogen profile than conventional testing, which in turn prompted a change in clinical medication, which led to improvement in eight patients (8/31=25.81 %) in the presence of other serious comorbidities. In a retrospective analysis, mNGS was much more sensitive than conventional testing in the diagnosis of pulmonary infections (95.33 % vs. 55.56 %; P<0.001), with a 39.77 % increase in sensitivity. The detection rate of mNGS for mixed infections was significantly higher than that of conventional testing methods for both common and severe pneumonia (48/67=71.64 % vs. 12/52=23.08 %, P<0.001; 44/59=74.58 % vs. 11/59=18.64 %, P<0.0001).Conclusion. The sensitivity of mNGS in the diagnosis of pathogenic microorganisms in pulmonary infections far exceeds that of conventional culture tests. As a complementary method to conventional methods, mNGS can help improve the diagnosis of pulmonary infections. In addition, mNGS pathogen integrity detection rate was similar in common and severe pneumonia. We recommend the prompt use of mNGS when mixed or rare pathogen infections are suspected, especially in immunocompromised individuals and/or critically ill individuals.

Understanding recurrent pregnancy loss: recent advances on its etiology, clinical diagnosis, and management

Recurrent pregnancy loss (RPL) has become an important reproductive health issue worldwide. RPL affects about 2%-3% of reproductive-aged women, and makes serious threats to women's physical and mental health. However, the etiology of approximately 50% of RPL cases remains unknown (unexplained RPL), which poses a big challenge for clinical management of these patients. RPL has been widely regarded as a complex disease where its etiology has been attributed to numerous factors. Heretofore, various risk factors for RPL have been identified, such as maternal ages, genetic factors, anatomical structural abnormalities, endocrine dysfunction, prethrombotic state, immunological factors, and infection. More importantly, development and applications of next generation sequencing technology have significantly expanded opportunities to discover chromosomal aberrations and single gene variants responsible for RPL, which provides new insight into its pathogenic mechanisms. Furthermore, based upon patients' diagnostic evaluation and etiologic diagnosis, specific therapeutic recommendations have been established. This review will highlight current understanding and recent advances on RPL, with a special focus on the immunological and genetic etiologies, clinical diagnosis and therapeutic management.

The Epidemiology of Meningitis in Infants under 90 Days of Age in a Large Pediatric Hospital

Background: Meningitis is associated with substantial morbidity and mortality, particularly in the first three months of life. Methods: We conducted a retrospective review of patients <90 days of age with meningitis at Texas Children’s Hospital from 2010–2017. Cases were confirmed using the National Healthcare Safety Network (NHSN) definition of meningitis. Results: Among 694 infants with meningitis, the most common etiology was viral (n = 351; 51%), primarily caused by enterovirus (n = 332; 95%). A quarter of cases were caused by bacterial infections (n = 190; 27%). The most common cause of bacterial meningitis was group B Streptococcus (GBS, n = 60; 32%), followed by Gram-negative rods other than E. coli (n = 40; 21%), and E. coli (n = 37; 19%). The majority of Gram-negative organisms (63%) were resistant to ampicillin, and nearly one-fourth of Gram-negative rods (23%) other than E. coli and 2 (6%) E. coli isolates were resistant to third-generation cephalosporins. Significant risk factors for bacterial meningitis were early preterm birth and the Black race. Conclusions: Enteroviruses most commonly caused viral meningitis in infants; GBS was the most common bacterial cause despite universal screening and intrapartum prophylaxis. The emergence of MRSA and resistance to third-generation cephalosporins in Gram-negative bacterial meningitis challenges the options for empirical antimicrobial therapy.

Potential utility of metagenomic sequencing for improving etiologic diagnosis of infective endocarditis

Aim: To explore potential utility of metagenomic sequencing for improving etiologic diagnosis of infective endocarditis (IE) caused by fastidious bacteria. Materials & methods: Plasma and heart valves of two patients, who were diagnosed with IE caused by Bartonella quintana and Propionibacterium species, were sequenced by using Illumina MiSeq and Nanopore MinION. Results: For patient 1, B. quintana was detected in the plasma pool collected 4 days before valvular replacement surgery. For patient 2, Propionibacterium sp. oral taxon 193 was detected in the plasma sample collected on hospital day 1. Nearly complete bacterial genomes (>98%) were retrieved from resected heart valves of both patients, enabling detection of antibiotic resistance-associated features. Real-time sequencing of heart valves identified both pathogens within the first 16 min of sequencing runs. Conclusion: Metagenomic sequencing may be a helpful supplement to IE diagnostic workflow, especially when conventional tests fail to yield a diagnosis.