Activation of nicotinic acetylcholine receptor α7 subunit limits Zika viral infection via promoting autophagy and ferroptosis.

Vagus nerve regulates viral infection and inflammation via the alpha 7 nicotinic acetylcholine receptor (α7 nAChR); however, the role of α7 nAChR in ZIKA virus (ZIKV) infection, which can cause severe neurological diseases such as microcephaly and Guillain-Barré syndrome, remains unknown. Here, we first examined the role of α7 nAChR in ZIKV infection in vitro. A broad effect of α7 nAChR activation was identified in limiting ZIKV infection in multiple cell lines. Combined with transcriptomics analysis, we further demonstrated that α7 nAChR activation promoted autophagy and ferroptosis pathways to limit cellular ZIKV viral loads. Additionally, activation of α7 nAChR prevented ZIKV-induced p62 nucleus accumulation, which mediated an enhanced autophagy pathway. By regulating proteasome complex and an E3 ligase NEDD4, activation of α7 nAChR resulted in increased amount of cellular p62, which further enhanced the ferroptosis pathway to reduce ZIKV infection. Moreover, utilizing in vivo neonatal mouse models, we showed that α7 nAChR is essential in controlling the disease severity of ZIKV infection. Taken together, our findings identify an α7 nAChR-mediated effect that critically contributes to limiting ZIKV infection, and α7 nAChR activation offers a novel strategy for combating ZIKV infection and its complications.

MDH1-mediated malate-aspartate NADH shuttle maintains the activity levels of fetal liver hematopoietic stem cells.

The connections between energy metabolism and stemness of hematopoietic stem cells (HSCs) at different developmental stages remain largely unknown. We generated a transgenic mouse line for the genetically encoded NADH/NAD+ sensor (SoNar) and demonstrate that there are 3 distinct fetal liver hematopoietic cell populations according to the ratios of SoNar fluorescence. SoNar-low cells had an enhanced level of mitochondrial respiration but a glycolytic level similar to that of SoNar-high cells. Interestingly, 10% of SoNar-low cells were enriched for 65% of total immunophenotypic fetal liver HSCs (FL-HSCs) and contained approximately fivefold more functional HSCs than their SoNar-high counterparts. SoNar was able to monitor sensitively the dynamic changes of energy metabolism in HSCs both in vitro and in vivo. Mechanistically, STAT3 transactivated MDH1 to sustain the malate-aspartate NADH shuttle activity and HSC self-renewal and differentiation. We reveal an unexpected metabolic program of FL-HSCs and provide a powerful genetic tool for metabolic studies of HSCs or other types of stem cells.

Neuroimmune recognition and regulation in the respiratory system.

Neuroimmune recognition and regulation in the respiratory system is a complex and highly coordinated process involving interactions between the nervous and immune systems to detect and respond to pathogens, pollutants and other potential hazards in the respiratory tract. This interaction helps maintain the health and integrity of the respiratory system. Therefore, understanding the complex interactions between the respiratory nervous system and immune system is critical to maintaining lung health and developing treatments for respiratory diseases. In this review, we summarise the projection distribution of different types of neurons (trigeminal nerve, glossopharyngeal nerve, vagus nerve, spinal dorsal root nerve, sympathetic nerve) in the respiratory tract. We also introduce several types of cells in the respiratory epithelium that closely interact with nerves (pulmonary neuroendocrine cells, brush cells, solitary chemosensory cells and tastebuds). These cells are primarily located at key positions in the respiratory tract, where nerves project to them, forming neuroepithelial recognition units, thus enhancing the ability of neural recognition. Furthermore, we summarise the roles played by these different neurons in sensing or responding to specific pathogens (influenza, severe acute respiratory syndrome coronavirus 2, respiratory syncytial virus, human metapneumovirus, herpes viruses, Sendai parainfluenza virus, Mycobacterium tuberculosis, Pseudomonas aeruginosa, Staphylococcus aureus, amoebae), allergens, atmospheric pollutants (smoking, exhaust pollution), and their potential roles in regulating interactions among different pathogens. We also summarise the prospects of bioelectronic medicine as a third therapeutic approach following drugs and surgery, as well as the potential mechanisms of meditation breathing as an adjunct therapy.

Transcriptional landscape of myasthenia gravis revealed by weighted gene coexpression network analysis.

Background: As one of the most common autoimmune diseases, myasthenia gravis (MG) severely affects the quality of life of patients. Therefore, exploring the role of dysregulated genes between MG and healthy controls in the diagnosis of MG is beneficial to reveal new and promising diagnostic biomarkers and clinical therapeutic targets. Methods: The GSE85452 dataset was downloaded from the Gene Expression Omnibus (GEO) database and differential gene expression analysis was performed on MG and healthy control samples to identify differentially expressed genes (DEGs). The functions and pathways involved in DEGs were also explored by functional enrichment analysis. Significantly associated modular genes were identified by weighted gene co-expression network analysis (WGCNA), and MG dysregulated gene co-expression modular-based diagnostic models were constructed by gene set variance analysis (GSVA) and least absolute shrinkage and selection operator (LASSO). In addition, the effect of model genes on tumor immune infiltrating cells was assessed by CIBERSORT. Finally, the upstream regulators of MG dysregulated gene co-expression module were obtained by Pivot analysis. Results: The green module with high diagnostic performance was identified by GSVA and WGCNA. The LASSO model obtained NAPB, C5orf25 and ERICH1 genes had excellent diagnostic performance for MG. Immune cell infiltration results showed a significant negative correlation between green module scores and infiltration abundance of Macrophages M2 cells. Conclusion: In this study, a diagnostic model based on the co-expression module of MG dysregulated genes was constructed, which has good diagnostic performance and contributes to the diagnosis of MG.

NADPH metabolism determines the leukemogenic capacity and drug resistance of AML cells.

The mechanism by which redox metabolism regulates the fates of acute myeloid leukemia (AML) cells remains largely unknown. Using a highly sensitive, genetically encoded fluorescent sensor of nicotinamide adenine dinucleotide phosphate (NADPH), iNap1, we find three heterogeneous subpopulations of AML cells with different cytosolic NADPH levels in an MLL-AF9-induced murine AML model. The iNap1-high AML cells have enhanced proliferation capacities both in vitro and in vivo and are enriched for more functional leukemia-initiating cells than iNap1-low counterparts. The iNap1-high AML cells prefer localizing in the bone marrow endosteal niche and are resistant to methotrexate treatment. Furthermore, iNap1-high human primary AML cells have enhanced proliferation abilities both in vitro and in vivo. Mechanistically, the MTHFD1-mediated folate cycle regulates NADPH homeostasis to promote leukemogenesis and methotrexate resistance. These results provide important clues for understanding mechanisms by which redox metabolism regulates cancer cell fates and a potential metabolic target for AML treatments.

Synthesis, antiproliferative activities and in vitro biological evaluation of novel benzofuransulfonamide derivatives.

In a cell-based screen of novel antiproliferative agents, the hit compound 1a, which bears a benzofuransulfonamide scaffold, exhibited broad-spectrum antiproliferative activities against a panel of tumor cell lines. The promising in vitro antiproliferative activity and structural novelty of 1a prompted us to investigate the synthesis of five analogs of 1a and test their antiproliferative activities. The most potent analogue, 1h, exhibited enhanced antiproliferative activities compared with the parent 1a, and exhibited an IC(50) value against NCI-H460 cells of 4.13 µM compared with 4.52 µM for the positive control cisplatin. Flow cytometric analysis revealed that 1h induces significant levels of apoptosis in NCI-H460 cells in vitro at low micromolar concentrations. These results suggest that 1a and analogs based on its benzofuransulfonamide scaffold may constitute a novel class of antiproliferative agents, which deserve further study.

Oxidative phosphorylation enhances the leukemogenic capacity and resistance to chemotherapy of B cell acute lymphoblastic leukemia.

How metabolic status controls the fates of different types of leukemia cells remains elusive. Using a SoNar-transgenic mouse line, we demonstrated that B cell acute lymphoblastic leukemia (B-ALL) cells had a preference in using oxidative phosphorylation. B-ALL cells with a low SoNar ratio (SoNar-low) had enhanced mitochondrial respiration capacity, mainly resided in the vascular niche, and were enriched with more functional leukemia-initiating cells than that of SoNar-high cells in a murine B-ALL model. The SoNar-low cells were more resistant to cytosine arabinoside (Ara-C) treatment. cyclic adenosine 3',5'-monophosphate response element-binding protein transactivated pyruvate dehydrogenase complex component X and cytidine deaminase to maintain the oxidative phosphorylation level and Ara-C-induced resistance. SoNar-low human primary B-ALL cells also had a preference for oxidative phosphorylation. Suppressing oxidative phosphorylation with several drugs sufficiently attenuated Ara-C-induced resistance. Our study provides a unique angle for understanding the potential connections between metabolism and B-ALL cell fates.

Metabolic Imaging Reveals a Unique Preference of Symmetric Cell Division and Homing of Leukemia-Initiating Cells in an Endosteal Niche.

The metabolic properties of leukemia-initiating cells (LICs) in distinct bone marrow niches and their relationships to cell-fate determinations remain largely unknown. Using a metabolic imaging system with a highly responsive genetically encoded metabolic sensor, SoNar, we reveal that SoNar-high cells are more glycolytic, enriched for higher LIC frequency, and develop leukemia much faster than SoNar-low counterparts in an MLL-AF9-induced murine acute myeloid leukemia model. SoNar-high cells mainly home to and locate in the hypoxic endosteal niche and maintain their activities through efficient symmetric division. SoNar can indicate the dynamics of metabolic changes of LICs in the endosteal niche. SoNar-high human leukemia cells or primary samples have enhanced clonogenic capacities in vitro or leukemogenesis in vivo. PDK2 fine-tunes glycolysis, homing, and symmetric division of LICs. These findings provide a unique angle for the study of metabolisms in stem cells, and may lead to development of novel strategies for cancer treatment.