CRISPR-Cas12-based nucleic acids detection systems.

Because of the outstanding contribution in genome editing, CRISPR has undoubtedly become the most popular technology around the world and two pioneers are awarded the Nobel Prize in Chemistry this year. Besides, along with the discovery of nonspecific trans-cleavage activities of several Cas proteins such as Cas12 and Cas13, many CRISPR-based molecular diagnostic systems have been successfully created, showing advantages in sensitivity, specificity and operation convenience. Among them, systems with Cas12, which targets DNA and trans-cleaves single-stranded DNA probes, are both simple and highly efficient. Here in this review, we mainly focus on the Cas12-based methods and briefly discuss their applications in nucleic acids detection and beyond.

Downregulation of lncRNA XLOC_032768 in diabetic patients predicts the occurrence of diabetic nephropathy.

LncRNA XLOC_032768 is reported to prevent renal tubular epithelial cells from cisplatin-induced apoptosis, suggesting its involvement in the development of kidney injury. The present study aimed to explore the role of XLOC_032768 in diabetic nephropathy (DN). The present study enrolled a total of 140 healthy controls (Control group) and 140 patients with type 2 diabetes (Diabetes group). Expression of XLOC_032768 in plasma from these participants was analyzed by performing RT-qPCR. The 140 diabetic patients were followed up for 5 years to monitor the occurrence of diabetic complications. The role of XLOC_032768 in predicting the occurrence of diabetic complications, including DN, diabetic cardiomyopathy (DC), diabetic retinopathy (DR), and diabetic foot (DF) were analyzed by plotting receiver operating characteristic curves and complication-free curves. On the day of admission, plasma levels of XLOC_032768 were not significantly different between Control and Diabetes groups. During follow-up, a total of 22, 15, 13, and 15 cases were diagnosed as DN, DC, DR, and DF, respectively. On the day of diagnosis, plasma levels of XLOC_032768 were only decreased in DN group, but not in other groups, compared to plasma levels of XLOC_032768 on the day of admission. Using plasma levels of XLOC_032768 on the day of admission as a biomarker, potential DN patients were effectively separated from patients with other potential complications and diabetic patients without complications. The 140 diabetic patients were grouped into high and low XLOC_032768 level groups. It was observed that low XLOC_032768 level group showed increased occurrence of DN, but not other complications, compared to high XLOC_032768 level group. Therefore, the downregulation of lncRNA XLOC_032768 in diabetic patients may predict the occurrence of DN.

MASH-Ocean 1.0: Interactive platform for investigating microbial diversity, function, and biogeography with marine metagenomic data.

A large number of oceanic metagenomic data and environmental metadata have been published. However, most studies focused on limited ecosystems using different analysis tools, making it challenging to integrate these data into robust results and comprehensive global understanding of marine microbiome. Here, we constructed a systematic and quantitative analysis platform, the Microbiome Atlas/Sino-Hydrosphere for Ocean Ecosystem (MASH-Ocean: https://www.biosino.org/mash-ocean/), by integrating global marine metagenomic data and a unified data processing flow. MASH-Ocean 1.0 comprises 2147 metagenomic samples with five analysis modules: sample view, diversity, function, biogeography, and interaction network. This platform provides convenient and stable support for researchers in microbiology, environmental science, and biogeochemistry, to ensure the integration of omics data generated from hydrosphere ecosystems, to bridge the gap between elusive omics data and biological, ecological, and geological discovery, ultimately to foster the formation of a comprehensive atlas for aquatic environments.

Mycobacteriaceae Phenome Atlas (MPA): A Standardized Atlas for the Mycobacteriaceae Phenome Based on Heterogeneous Sources.

The bacterial family Mycobacteriaceae includes pathogenic and nonpathogenic bacteria, and systematic research on their genome and phenome can give comprehensive perspectives for exploring their disease mechanism. In this study, the phenotypes of Mycobacteriaceae were inferred from available phenomic data, and 82 microbial phenotypic traits were recruited as data elements of the microbial phenome. This Mycobacteriaceae phenome contains five categories and 20 subcategories of polyphasic phenotypes, and three categories and eight subcategories of functional phenotypes, all of which are complementary to the existing data standards of microbial phenotypes. The phenomic data of Mycobacteriaceae strains were compiled by literature mining, third-party database integration, and bioinformatics annotation. The phenotypes were searchable and comparable from the website of the Mycobacteriaceae Phenome Atlas (MPA, https://www.biosino.org/mpa/). A topological data analysis of MPA revealed the co-evolution between Mycobacterium tuberculosis and virulence factors, and uncovered potential pathogenicity-associated phenotypes. Two hundred and sixty potential pathogen-enriched pathways were found by Fisher's exact test. The application of MPA may provide novel insights into the pathogenicity mechanism and antimicrobial targets of Mycobacteriaceae. Supplementary Information: The online version contains supplementary material available at 10.1007/s43657-023-00101-5.

Subacute infective endocarditis due to Lodderomyces elongisporus: a case report and review of the literature.

Lodderomyces elongisporus, a rare emerging pathogen, can cause fungemia often related to immunosuppression or intravenous devices. Herein, we report the case of a 58-year-old woman with subacute infective endocarditis due to Lodderomyces elongisporus identified by blood fungal culture and whole-genome sequencing, who was treated with antifungals, mitral replacement and endocardial vegetation removal surgery.

Epidemiological and clinical characteristics of suspected COVID-19 patients in the isolation ward in Guangzhou, China: a cohort study.

BACKGROUND: Since there are reports of cases of 2019-coronavirus disease (COVID-19) asymptomatic carriers in China recently and fever is one of the main symptoms, we aimed to distinguish COVID-19 cases from other febrile patients with clinical examinations in this study. METHODS: A total of 134 suspected COVID-19 patients in the isolation ward of the First Affiliated Hospital of Guangzhou Medical University were recruited from January 23 to May 23, 2020. We analyze the pathogenic form and clinical characteristics. RESULTS: Among them, pathogens were identified in only 84 patients (62.7%), including 23 (17.1%) with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), 30 (22.3%) with other viruses, 31 (25.0%) with other pathogens and 3 (3.5%) with mixed infections. The commonly observed symptoms of COVID-19 patients were cough, fever, fatigue, and muscle aches, which were significantly different than the symptoms of nonviral infections (P<0.05) but from those of other viral infections (P>0.05). Furthermore, lactate dehydrogenase and the neutrophil/lymphocyte were found significantly high in COVID-19 patients compared to non-COVID-19 patients (P<0.05). The most common manifestations of COVID-19 patients were ground-glass opacities (100%) with or without lung consolidation, however, they also often showed involvement of several lobes of both lungs (P<0.05). Due to the clear differential diagnosis, the overall antibiotic use rate was 35.8% (31/87). CONCLUSIONS: When diagnosing COVID-19, infections with other pathogens should not be ignored. Successful pathogen identification will support accurate treatment.