[Rapid serotyping of Salmonella based on matrix assisted laser desorption ionization-time of flight mass spectrometry].

Objective: To establish a matrix assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) assay for the identification of common Salmonella serotypes and provide etiology evidence for the early precise treatment of salmonellosis. Methods: A total of 500 strains were collected from different regions and sources and five predominant Salmonella serotypes (Salmonella Typhi, Salmonella Paratyphi A, Salmonella Typhimurium, Salmonella Enteritidis, and Salmonella Indiana) of each strain was identified by agglutination test and whole-genome sequencing. The protein complex of the strains was extracted by using optimized pretreatment method to establish the fingerprint database of peptides for each Salmonella serotype. The new serotyping assays were established by using different modules based on the mass spectra database. Additional 155 strains with specified serotypes and variant sources were used to test and evaluate the accuracy of the new typing assays. Results: Five MALDI-TOF MS databases were established, and two new serotyping assays were established via peptide fingerprint mapping/matching and machine learning of the neuronal convolutional network respectively based on the databases. The results showed that the fingerprint matching approach could quickly identify five common Salmonella serotypes in clinical practice compared with the machine learning method, the accuracy of fingerprint matching assay to identify five Salmonella serotypes reached 100.00% and the serotyping can be conducted within a short time (15-20 minutes) and had a good reproducibility, while the machine learning method could not completely identify these serotypes. Moreover the sensitivity and specificity of fingerprint matching assay were all 100.00% respectively, while they were only 82.23% and 95.81% for machine learning method. Conclusion: The established Salmonella serotyping assay based on MALDI-TOF MS in this study can easily, rapidly and accurately identify different serotypes of Salmonella.

Neuregulin 1/ErbB4 enhances synchronized oscillations of prefrontal cortex neurons via inhibitory synapses.

Both neuregulin 1 (NRG1) and its receptor ErbB4 are susceptibility genes for schizophrenia. Reduced synchronization of evoked oscillations in several cortical regions, especially in the prefrontal cortex, is associated with the core symptoms of schizophrenia. Recent studies have reported that NRG1 may affect the hippocampal oscillations. However, the role of NRG1/ErbB4 signaling in the synchronization of neurons in the prefrontal cortex is unclear. Here, we found that NRG1 enhanced the synchrony of pyramidal neurons via presynaptic interneurons. Meanwhile, NRG1 also increased the synchrony between pairs of fast-spiking interneurons and pairs of fast-spiking and non-fast-spiking interneurons in the prefrontal cortex, and this effect was mediated by ErbB4 receptors. Moreover, the NRG1-enhanced synchrony of interneurons was through their mutually-inhibitory synapses but not electrical coupling. Furthermore, kainate-induced gamma oscillations in vivo were enhanced by NRG1 and did not change in Dlx5/6-ErbB4(-/-) mice in which the ErbB4 receptors were specifically knocked out in interneurons of the frontal brain. Overall, our findings suggested that NRG1/ErbB4 signaling plays an important role in the synchronized oscillations of the whole network in the prefrontal cortex that are impaired in schizophrenia.