General characteristics, features of cultivation and antibiotic resistance representatives of mycobacterium fortuitum group representatives (review of literature)

The tumoral microbiome of pancreatic intraductal papillary mucinous neoplasm: A single-center retrospective cohort study

BACKGROUND AND AIM

Pancreatic intraductal papillary mucinous neoplasm (IPMN) is one of the most common precancerous lesions of pancreatic carcinoma. Studies have found that the tumoral microbiome has an important influence on pancreatic carcinoma. However, the tumoral microbiome of IPMNs has rarely been explored.

METHODS

Tumoral microbiome gene sequencing was carried out using 16 specimens of IPMN and 45 specimens of IPMN with associated invasive carcinoma (IPMN-IC) by 2bRAD sequencing for microbiome. The profile of the tumoral microbiome was summarized. Associations of the tumoral microbiome with disease grade, histological subtype, and prognosis were analyzed.

RESULTS

A total of 598 species of microbes were identified, comprising 228 genera, 109 families, 60 orders, 29 classes, 14 phyla, and 2 kingdoms. The genus Pseudomonas was detected more frequently and had higher relative abundance in IPMN-ICs; Alcaligenes faecalis was detected with higher relative abundance in IPMNs. Bifidobacterium pseudolongum had a higher relative abundance in the IPMN-IC group, regardless of histological subtype. Moreover, among patients with IPMN-ICs, those with a high relative abundance of B. pseudolongum had better overall survival than those with a low relative abundance. Patients who were positive for Staphylococcus aureus or Mycolicibacillus koreensis had shorter survival. The presence of S. aureus was an independent risk factor for poor prognosis.

CONCLUSIONS

There are enriching tumoral microbes in IPMN. The tumoral microbiome of IPMN is different from that of IPMN-IC.

Identifying ARG-carrying bacteriophages in a lake replenished by reclaimed water using deep learning techniques

As important mobile genetic elements, phages support the spread of antibiotic resistance genes (ARGs). Previous analyses of metaviromes or metagenome-assembled genomes (MAGs) failed to assess the extent of ARGs transferred by phages, particularly in the generation of antibiotic pathogens. Therefore, we have developed a bioinformatic pipeline that utilizes deep learning techniques to identify ARG-carrying phages and predict their hosts, with a special focus on pathogens. Using this method, we discovered that the predominant types of ARGs carried by temperate phages in a typical landscape lake, which is fully replenished by reclaimed water, were related to multidrug resistance and β-lactam antibiotics. MAGs containing virulent factors (VFs) were predicted to serve as hosts for these ARG-carrying phages, which suggests that the phages may have the potential to transfer ARGs. In silico analysis showed a significant positive correlation between temperate phages and host pathogens (R = 0.503, p < 0.001), which was later confirmed by qPCR. Interestingly, these MAGs were found to be more abundant than those containing both ARGs and VFs, especially in December and March. Seasonal variations were observed in the abundance of phages harboring ARGs (from 5.62 % to 21.02 %) and chromosomes harboring ARGs (from 18.01 % to 30.94 %). In contrast, the abundance of plasmids harboring ARGs remained unchanged. In summary, this study leverages deep learning to analyze phage-transferred ARGs and demonstrates an alternative method to track the production of potential antibiotic-resistant pathogens by metagenomics that can be extended to microbiological risk assessment.

Central nervous system infection caused by Mycobacterium houstonense: A case report

Background

Mycobacterium houstonense is a rapidly growing mycobacterium (RGM) that belongs to the unnamed third biovariant complex of the Mycobacterium fortuitum group, which is rarely responsible for human infection. Approximately 76% of infections caused by the M. fortuitum group occur after open fractures or skin, soft tissue, bone, or puncture wounds. To date, only a few cases of human infectious disease caused by M. houstonense have been reported worldwide.

Case presentation

We present a case of a 26-year-old man with a central nervous system (CNS) infection caused by M. houstonense. The patient was transferred to our hospital because of headaches and muscle strength changes. One month prior to presentation at our hospital, the patient was diagnosed with tuberculous meningitis at the other two hospitals, but his condition did not improve after anti-tuberculous treatment, antibiotics, and anti-viral treatment before admission to our hospital. Lumbar puncture was performed at both previous hospitals, as well as at our hospital; the results consistently indicated high cerebrospinal fluid (CSF) opening pressure. M. houstonense was detected in the CSF of the second hospital's lumbar puncture by metagenomic next-generation sequencing (mNGS) but was not identified at our hospital. The patient was discharged from our hospital after receiving non-tuberculous mycobacterium (NTM) treatment for 1 month according to the Chinese NTM guidelines. However, the patient died 20 days after discharge.

Conclusion

Since it is difficult to identify M. houstonense, this is the first case of human CNS infection caused by M. houstonense in China. This case may be considered by neurologists and infectious physicians when CNS infection does not respond to conventional treatment, especially in the uncommon type of NTM.