General anesthetic action profile on the human prefrontal cortex cells through comprehensive single-cell RNA-seq analysis.

The cellular and molecular actions of general anesthetics to induce anesthesia state and also cellular signaling changes for subsequent potential "long term" effects remain largely elusive. General anesthetics were reported to act on voltage-gated ion channels and ligand-gated ion channels. Here we used single-cell RNA-sequencing complemented with whole-cell patch clamp and calcium transient techniques to examine the gene transcriptome and ion channels profiling of sevoflurane and propofol, both commonly used clinically, on the human fetal prefrontal cortex (PFC) mixed cell cultures. Both propofol and sevoflurane at clinically relevant dose/concentration promoted "microgliosis" but only sevoflurane decreased microglia transcriptional similarity. Propofol and sevoflurane each extensively but transiently (<2 h) altered transcriptome profiling across microglia, excitatory neurons, interneurons, astrocytes and oligodendrocyte progenitor cells. Utilizing scRNA-seq as a robust and high-through put tool, our work may provide a comprehensive blueprint for future mechanistic studies of general anesthetics in clinically relevant settings.

The protective effects of Omarigliptin against Lipopolysaccharide (LPS)- induced inflammatory response and expression of mucin 5AC (MUC5AC) in human bronchial epithelial cells.

The epidemic of chronic inflammatory lung diseases such as asthma, bronchitis, and chronic obstructive pulmonary disease (COPD) has become a global public health problem. Oxidative stress, inflammation, and overproduction of airway mucus play critical roles in the progression of these diseases. Omarigliptin, an oral dipeptidyl peptidase 4 (DPP-4) inhibitor, has been demonstrated to have anti-inflammatory effects in patients with type II diabetes. However, its role in chronic inflammatory lung diseases remains enigmatic. This study is to investigate whether Omarigliptin possesses a beneficial effect against Lipopolysaccharide (LPS)-induced injuries in human BEAS-2B bronchial epithelial cells. Our results show that Omarigliptin suppressed LPS-induced oxidative stress by attenuating the generation of mitochondrial reactive oxygen species (ROS) and decrease in reduced glutathione (GSH) in BEAS-2B cells. Additionally, Omarigliptin mitigated inflammatory response by inhibiting the expression of pro-inflammatory mediators, including interleukin-1ß (IL-1ß), interleukin-12 (IL-12), and macrophage chemoattractant protein-1 (MCP-1) in LPS-challenged BEAS-2B cells. Moreover, Omarigliptin mitigated the LPS-induced overproduction of MUC5AC by rescuing the expression of the suppressor of cytokine signaling 1(SOCS1). Importantly, we found that this process is mediated by the Adenosine 5'-monophosphate (AMP)-activated protein kinase (AMPK) signaling pathway. Based on these findings, we conclude that Omarigliptin might be a promising agent for the treatment of chronic inflammatory lung diseases.

Values of Single-Cell RNA Sequencing in Development of Cerebral Cortex.

The single-cell RNA sequencing (scRNA-seq) is a powerful tool for exploring the complexity, clusters, and specific functions of the brain cells. Using scRNA-seq, the heterogeneity and changes in transcriptomic profiles of a single neuron were defined during dynamic development and differentiation of cells in cerebral cortex regions, and in the pathogenesis of neurological diseases. One of the great challenges is that the brain sample is susceptible to interference and confounding. More advanced methodologies of computational systems biology need to be developed to overcome the inherent interference and technical differences in the detection of single-cell signals. It is expected that scRNA-seq will be extended to metabolic profiles of the single neuron cell on basis of transcriptional profiles and regulatory networks. It is also expected if the transcriptional profiles can be integrated with molecular and functional phenomes in a single neuron and with disease-specific phenomes to understand molecular mechanisms of brain development and disease occurrence. scRNA-seq will provide the new emerging neurological disciple of the artificial intelligent single neuron for deep understanding of brain diseases.

Stimulation of midbrain dopaminergic structures modifies firing rates of rat lateral habenula neurons.

Ventral tegmental area (VTA) and substantia nigra pars compacta (SNpc) are midbrain structures known to be involved in mediating reward in rodents. Lateral habenula (LHb) is considered as a negative reward source and it is reported that stimulation of the LHb rapidly induces inhibition of firing in midbrain dopamine neurons. Interestingly, the phasic fall in LHb neuronal activity may follow the excitation of dopamine neurons in response to reward-predicting stimuli. The VTA and SNpc give rise to dopaminergic projections that innervate the LHb, which is also known to be involved in processing painful stimuli. But it's unclear what physiological effects these inputs have on habenular function. In this study we distinguished the LHb pain-activated neurons of the Wistar rats and assessed their electrophysiological responsiveness to the stimulation of the VTA and SNpc with either single-pulse stimulation (300 µA, 0.5 Hz) or tetanic stimulation (80 µA, 25 Hz). Single-pulse stimulation that was delivered to either midbrain structure triggered transient inhibition of firing of ∼90% of the LHb pain-activated neurons. However, tetanic stimulation of the VTA tended to evoke an elevation in neuronal firing rate. We conclude that LHb pain-activated neurons can receive diverse reward-related signals originating from midbrain dopaminergic structures, and thus participate in the regulation of the brain reward system via both positive and negative feedback mechanisms.