Metabolomic analysis in Amycolatopsis keratiniphila disrupted the competing ECO0501 pathway for enhancing the accumulation of vancomycin.

Vancomycin is a clinically important glycopeptide antibiotic against Gram-positive pathogenic bacteria, especially methicillin-resistant Staphylococcus aureus. In the mutant strain of Amycolatopsis keratiniphila HCCB10007 Δeco-cds4-27, the production of ECO-0501 was disrupted, but enhanced vancomycin yield by 55% was observed compared with the original strain of A. keratiniphila HCCB10007. To gain insights into the mechanism of the enhanced production of vancomycin in the mutant strain, comparative metabolomics analyses were performed between the mutant strain and the original strain, A. keratiniphila HCCB10007 via GC-TOF-MS and UPLC-HRMS. The results of PCA and OPLS-DA revealed a significant distinction of the intracellular metabolites between the two strains during the fermentation process. 64 intracellular metabolites, which involved in amino acids, fatty acids and central carbon metabolism, were identified as differential metabolites. The high-yield mutant strain maintained high levels of glucose-1-phosphate and glucose-6-phosphate and they declined with the increases of vancomycin production. Particularly, a strong association of fatty acids accumulation as well as 3,5-dihydroxyphenylacetic acid and non-proteinogenic amino acid 3,5-dihydroxyphenylglycine (Dpg) with enhancement of vancomycin production was observed in the high-yield mutant strain, indicating that the consumption of fatty acid pools might be beneficial for giving rise to 3,5-dihydroxyphenylacetic acid and Dpg which further lead to improve vancomycin production. In addition, the lower levels of glyoxylic acid and lactic acid and the higher levels of sulfur amino acids might be beneficial for improving vancomycin production. These findings proposed more advanced elucidation of metabolomic characteristics in the high-yield strain for vancomycin production and could provide potential strategies to enhance the vancomycin production.

The genetic characterization of hemagglutinin (HA), neuraminidase (NA) and polymerase acidic (PA) genes of H3N2 influenza viruses circulated in Guangdong Province of China during 2019-2020.

The evolution of seasonal influenza viruses, which can cause virus antigenic drift to escape human herd immunity, is a significant public health problem. Here, we obtained hemagglutinin (HA), neuraminidase (NA), and polymerase acidic protein (PA) the gene sequences of 84 influenza virus isolates collected in Guangdong Province during the 2019-2020 influenza season. Phylogenetic analyses revealed all these isolates were genetically similar to the viruses of clade 3C2a A1b, specifically those within subclades of A1b 137F (59 cases), A1b 186D (19 cases), and A1b 94 N (6 cases). The influenza virus isolates were distinct from the World Health Organization recommended influenza A vaccine virus for the 2019-2020 Northern Hemisphere season (A/Kansas/14/2017; H3N2). Phylogenies inferred from the individual gene segment sequences revealed that one reassortment event occurred among these clades. The genetic variation involved mutations within viral antigenic epitopes and two N-glycosylation site alterations. The novel mutation sites of G202D and D206N in the HA gene, E344K in the NA gene, and K626R in the PA gene which may affect the spread of the virus were observed. We investigated the evolution of these genes and found that the HA and NA genes were under greater pressure than PA gene. Mutations associated with conferring resistance to NA inhibitors or baloxavir acid were not found. Our results suggest that a rapid evolution of the H3N2 influenza virus occurred, thus continuous monitoring is critical for establishing appropriate vaccine formulations or drug delivery for targeting influenza.

A case of chronic wounds caused by Sporothrix schenckii infection was rapidly detected by metagenomic next generation sequencing.

The dimorphic fungus Sporothrix schenckii is widely distributed in soil, vegetation, and decaying organic matter, and can cause sporotrichosis when the patient's skin trauma was exposed to contaminated material with Sporothrix spp. The cases of Sporothrix schenckii infection in chronic wounds are rarely reported. Here we reported a 53-year-old male construction worker who was admitted to our hospital on July 9, 2022, without underlying disease presented with a painless subcutaneous hard nodule on his right calf, which later ulcerated and oozed, with an enlarged wound and no fever during the course of the disease. His procalcitonin, C-reactive protein, erythrocyte sedimentation rate increased, and necrotic histopathology suggested chronic granulomatous inflammation. Then his necrotic tissue and pus were sent for metagenomic next generation sequencing(mNGS), the result reported Sporothrix schenckii after 43 hours, which was consistent with the result of culture after 18 days. mNGS might be more useful and valuable in diseases such as sporotrichosis where it is difficult to see the yeast cells in the tissues.

Molecular epidemiology and phylogenetic analysis of influenza viruses A (H3N2) and B/Victoria during the COVID-19 pandemic in Guangdong, China.

BACKGROUND: Non-pharmaceutical measures and travel restrictions have halted the spread of coronavirus disease 2019 (COVID-19) and influenza. Nonetheless, with COVID-19 restrictions lifted, an unanticipated outbreak of the influenza B/Victoria virus in late 2021 and another influenza H3N2 outbreak in mid-2022 occurred in Guangdong, southern China. The mechanism underlying this phenomenon remains unknown. To better prepare for potential influenza outbreaks during COVID-19 pandemic, we studied the molecular epidemiology and phylogenetics of influenza A(H3N2) and B/Victoria that circulated during the COVID-19 pandemic in this region. METHODS: From January 1, 2018 to December 31, 2022, we collected throat swabs from 173,401 patients in Guangdong who had acute respiratory tract infections. Influenza viruses in the samples were tested using reverse transcription-polymerase chain reaction, followed by subtype identification and sequencing of hemagglutinin (HA) and neuraminidase (NA) genes. Phylogenetic and genetic diversity analyses were performed on both genes from 403 samples. A rigorous molecular clock was aligned with the phylogenetic tree to measure the rate of viral evolution and the root-to-tip distance within strains in different years was assessed using regression curve models to determine the correlation. RESULTS: During the early period of COVID-19 control, various influenza viruses were nearly undetectable in respiratory specimens. When control measures were relaxed in January 2020, the influenza infection rate peaked at 4.94% (39/789) in December 2021, with the influenza B/Victoria accounting for 87.18% (34/39) of the total influenza cases. Six months later, the influenza infection rate again increased and peaked at 11.34% (255/2248) in June 2022; influenza A/H3N2 accounted for 94.51% (241/255) of the total influenza cases in autumn 2022. The diverse geographic distribution of HA genes of B/Victoria and A/H3N2 had drastically reduced, and most strains originated from China. The rate of B/Victoria HA evolution (3.11 × 10-3, P < 0.05) was 1.7 times faster than before the COVID-19 outbreak (1.80 × 10-3, P < 0.05). Likewise, the H3N2 HA gene's evolution rate was 7.96 × 10-3 (P < 0.05), which is 2.1 times faster than the strains' pre-COVID-19 evolution rate (3.81 × 10-3, P < 0.05). CONCLUSIONS: Despite the extraordinarily low detection rate of influenza infection, concealed influenza transmission may occur between individuals during strict COVID-19 control. This ultimately leads to the accumulation of viral mutations and accelerated evolution of H3N2 and B/Victoria viruses. Monitoring the evolution of influenza may provide insights and alerts regarding potential epidemics in the future.

Tetrandrine attenuated cerebral ischemia/reperfusion injury and induced differential proteomic changes in a MCAO mice model using 2-D DIGE.

Ischemic stroke is the most common type of stroke and brings about a big disease burden because of high mortality and disability in China. Tetrandrine, a bisbenzylisoquinoline alkaloid isolated from the Chinese herb Radix Stephania tetrandra, has been demonstrated to possess anti-inflammatory and free radical scavenging effects and even regulate astrocyte activation, but the possible role of tetrandrine in ameliorating cerebral ischemia/reperfusion injury of ischemic stroke remains unknown. The aim of this study was to determine the effects of tetrandrine on neurological injury and differential proteomic changes induced by transient reversible middle cerebral artery occlusion (MCAO) in mice. Male Balb/c mice were divided into sham (n = 30), MCAO + saline as control (n = 30), and MCAO + Tet as tetrandrine-treated (n = 30) groups. Mice in the control and tetrandrine-treated groups underwent 120 min of MCAO following reperfusion. Immediately and 2 h after MCAO, the mice received either normal saline (sham operated and control groups) or tetrandrine (tetrandrine-treated group) intraperitoneally. Neurological defects, brain water content, and infarct volume at 24 h after stoke were used to evaluate neurological injury extent. Treatment with tetrandrine not only mitigated cerebral neurological deficits (P < 0.05) and infarct size (P < 0.01), but also decreased brian edema in the ischemic brain (P < 0.05). Then, fluorescence two-dimensional difference in gel electrophoresis was used to detect our systematic differential profiling of proteomic changes responding to tetrandrine administration. We validated that the expression of GRP78, DJ-1 and HYOU1 was associated with neuroprotective effect of tetrandrine in MCAO model by Western blotting. These findings indicate a potential neuroprotective role of tetrandrine for ischemic stroke and yield insights into cellular and molecular mechanisms of tetrandrine taking place in ischemic stroke.

The diagnostic significance of the ZNF gene family in pancreatic cancer: a bioinformatics and experimental study.

Background: Pancreatic adenocarcinoma (PAAD) is among the most devastating of all cancers with a poor survival rate. Therefore, we established a zinc finger (ZNF) protein-based prognostic prediction model for PAAD patients. Methods: The RNA-seq data for PAAD were downloaded from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. Differentially expressed ZNF protein genes (DE-ZNFs) in PAAD and normal control tissues were screened using the "lemma" package in R. An optimal risk model and an independent prognostic value were established by univariate and multivariate Cox regression analyses. Survival analyses were performed to assess the prognostic ability of the model. Results: We constructed a ZNF family genes-related risk score model that is based on the 10 DE-ZNFs (ZNF185, PRKCI, RTP4, SERTAD2, DEF8, ZMAT1, SP110, U2AF1L4, CXXC1, and RMND5B). The risk score was found to be a significant independent prognostic factor for PAAD patients. Seven significantly differentially expressed immune cells were identified between the high- and low-risk patients. Then, based on the prognostic genes, we constructed a ceRNA regulatory network that includes 5 prognostic genes, 7 miRNAs and 35 lncRNAs. Expression analysis showed ZNF185, PRKCI and RTP4 were significantly upregulated, while ZMAT1 and CXXC1 were significantly downregulated in the PAAD samples in all TCGA - PAAD, GSE28735 and GSE15471 datasets. Moreover, the upregulation of RTP4, SERTAD2, and SP110 were verified by the cell experiments. Conclusion: We established and validated a novel, Zinc finger protein family - related prognostic risk model for patients with PAAD, that has the potential to inform patient management.

Spirometra mansoni sparganosis identified by metagenomic next-generation sequencing: a case report.

A 30-year-old male patient had a cyst on the left hip and progressive enlargement for more than 2 months. Combined blood tests, magnetic resonance imaging, and pathology findings, cysticercosis infection was suspected. However, the treatment for cysticercosis was ineffective. We conducted a metagenomic next-generation sequencing (mNGS) analysis on the formalin-fixed, paraffin-embedded specimen of the patient's surgically excised tissue, and the results suggested Spirometra mansoni, mNGS was further confirmed by polymerase chain reaction and phylogenetic analysis of cytochrome c oxidase subunit 1 (cox1) gene. Based on these results, we found that mNGS provided a better method of diagnosing parasitic infections.

Co-infecting pathogens can contribute to inflammatory responses and severe symptoms in COVID-19.

Background: The current COVID-19 pandemic is posing a major challenge to public health on a global scale. While it is generally believed that severe COVID-19 results from over-expression of inflammatory mediators (i.e., a "cytokine storm"), it is still unclear whether and how co-infecting pathogens contribute to disease pathogenesis. To address this, we followed the entire course of the disease in cases with severe or critical COVID-19 to determine the presence and abundance of all potential pathogens present-the total "infectome"-and how they interact with the host immune system in the context of severe COVID-19. Methods: We examined one severe and three critical cases of COVID-19, as well as a set of healthy controls, with longitudinal samples (throat swab, whole blood, and serum) collected from each case. Total RNA sequencing (meta-transcriptomics) was performed to simultaneously investigate pathogen diversity and abundance, as well as host immune responses, in each sample. A Bio-Plex method was used to measure serum cytokine and chemokine levels. Results: Eight pathogens, SARS-CoV-2, Aspergillus fumigatus (A. fumigatus), Mycoplasma orale (M. orale), Myroides odoratus (M. odoratus), Acinetobacter baumannii (A. baumannii), Candida tropicalis, herpes simplex virus (HSV) and human cytomegalovirus (CMV), identified in patients with COVID-19 appeared at different stages of the disease. The dynamics of inflammatory mediators in serum and the respiratory tract were more strongly associated with the dynamics of the infectome compared with SARS-CoV-2 alone. Correlation analysis revealed that pulmonary injury was directly associated with cytokine levels, which in turn were associated with the proliferation of SARS-CoV-2 and co-infecting pathogens. Conclusions: For each patient, the cytokine storm that resulted in acute lung injury and death involved a dynamic and highly complex infectome, of which SARS-CoV-2 was a component. These results indicate the need for a precision medicine approach to investigate both the infection and host response as a standard means of infectious disease characterization.

A case of hepatic paragonimiasis was misdiagnosed as hepatocellular carcinoma with rupture and haemorrhage.

Paragonimiasis is a disease caused by parasitic infections that mainly involve the lungs. However, it can also produce ectopic infections, such as when the parasites invade the liver, brain and subcutaneous tissue, which then cause different symptoms. This current case report describes a 55-year-old male patient with hepatic paragonimiasis that was misdiagnosed as liver cancer with rupture and haemorrhage. The initial computed tomography findings suggested ruptured liver cancer. The patient underwent laparoscopic right hemihepatectomy. Postoperative pathological analysis resulted in a diagnosis of hepatic paragonimiasis. The patient recovered well postoperatively and was treated with 25 mg/kg praziquantel orally three times a day for 3 days after discharge with good efficacy. In this present case, the rupture and haemorrhage of the liver mass made it difficult for the treating physicians to consider hepatic paragonimiasis, which lead to the initial misdiagnosis of this patient. Although paragonimiasis is very rare, medical staff should be vigilant and have a comprehensive understanding of the different diseases that can cause liver masses so that misdiagnosis can be avoided.