Enterovirus 71 (EV71), a positive-stranded RNA virus, is the major cause of hand, foot, and mouth disease (HFMD) with severe neurological symptoms. Antiviral type I interferon (alpha/beta interferon [IFN-␣/]) responses initiated from innate receptor signaling are inhibited by EV71-encoded proteases. It is less well understood whether EV71-induced apoptosis provides a signal to activate type I interferon responses as a host defensive mechanism. In this report, we found that EV71 alone cannot activate Toll-like receptor 9 (TLR9) signaling, but supernatant from EV71-infected cells is capable of activating TLR9. We hypothesized that TLR9-activating signaling from plasmacytoid dendritic cells (pDCs) may contribute to host defense mechanisms. To test our hypothesis, Flt3 ligand-cultured DCs (Flt3L-DCs) from both wild-type (WT) and TLR9 knockout (TLR9KO) mice were infected with EV71. More viral particles were produced in TLR9KO mice than by WT mice. In contrast, alpha interferon (IFN-␣), monocyte chemotactic protein 1 (MCP-1), tumor necrosis factor-alpha (TNF-␣), IFN-␥, interleukin 6 (IL-6), and IL-10 levels were increased in Flt3L-DCs from WT mice infected with EV71 compared with TLR9KO mice. Seven-day-old TLR9KO mice infected with a non-mouse-adapted EV71 strain developed neurological lesion-related symptoms, including hind-limb paralysis, slowness, ataxia, and lethargy, but WT mice did not present with these symptoms. Lung, brain, small intestine, forelimb, and hind-limb tissues collected from TLR9KO mice exhibited significantly higher viral loads than equivalent tissues collected from WT mice. Histopathologic damage was observed in brain, small intestine, forelimb, and hind-limb tissues collected from TLR9KO mice infected with EV71. Our findings demonstrate that TLR9 is an important host defense molecule during EV71 infection. IMPORTANCEThe host innate immune system is equipped with pattern recognition receptors (PRRs), which are useful for defending the host against invading pathogens. During enterovirus 71 (EV71) infection, the innate immune system is activated by pathogen-associated molecular patterns (PAMPs), which include viral RNA or DNA, and these PAMPs are recognized by PRRs. Toll-like receptor 3 (TLR3) and TLR7/8 recognize viral nucleic acids, and TLR9 senses unmethylated CpG DNA or pathogen-derived DNA. These PRRs stimulate the production of type I interferons (IFNs) to counteract viral infection, and they are the major source of antiviral alpha interferon (IFN-␣) production in pDCs, which can produce 200-to 1,000-fold more IFN-␣ than any other immune cell type. In addition to PAMPs, danger-associated molecular patterns (DAMPs) are known to be potent activators of innate immune signaling, including TLR9. We found that EV71 induces cellular apoptosis, resulting in tissue damage; the endogenous DNA from dead cells may activate the innate immune system through TLR9. Therefore, our study provides new insights into EV71-induced apoptosis, which stimulates TLR9 in EV71-associated infections.
SummaryKinsenoside is able to improve bone turnover rate in ovariectomized (OVX) mice. In vitro analysis shows that kinsenoside antagonizes osteoclast development and bone resorption.IntroductionKinsenoside, the main active compound of the traditional Taiwanese herb Anoectochilus formosanus, has an antiinflammatory effect. This study investigates whether kinsenoside inhibits osteoporosis and osteoclastogenesis.MethodsOVX mice were used to examine the antiosteoporotic activity of kinsenoside. The trabecular bone microarchitecture was assessed by microcomputed tomography. In vitro experiments were performed to determine the mechanisms of the antiosteoporotic effects of kinsenoside.ResultsMicrocomputed tomography scanning showed that kinsenoside suppresses bone loss in OVX mice. Kinsenoside decreases plasma CTx concentration. Reverse transcription polymerase chain reaction (RT-PCR) analysis also showed that kinsenoside reduces the femoral mRNA expression of tartrate-resistant acid phosphatase (TRAP) and matrix metalloproteinase-9 (MMP-9). Kinsenoside inhibits osteoclast formation in bone marrow cells (BMs) and RAW 264.7 cells. Western blot was used to analyze osteoclast-associated signaling pathways in RAW 264.7 cells. Results show that kinsenoside does not inhibit IKK phosphorylation but suppresses the phosphorylation of IκBα and p65. Kinsenoside significantly inhibits the RANKL induction of IKK activity. Kinsenoside inhibits the RANKL-triggered nuclear translocations of NF-κB and nuclear factor of activated T cells c1 (NFATc1). RT-PCR was used to analyze osteoclast precursor fusion and resorption-associated gene expression in BMs. Kinsenoside inhibits the expression of cathepsin K (CAK), dendritic cell-specific transmembrane protein, MMP-9, and TRAP.ConclusionsKinsenoside inhibits osteoclastogenesis from macrophages by attenuating RANKL-induced NF-κB and NFATc1 activities, which in turn, prevents bone loss from OVX mice.
This study reports a microfluidic-based optical sensing device for label-free detection of circulating tumor cells (CTCs), a rare cell species in blood circulation. Based on the metabolic features of cancer cells, live CTCs can be quantified indirectly through their lactic acid production. Compared with the conventional schemes for CTC detection, this label-free approach could prevent the biological bias due to the heterogeneity of the surface antigens on cancer cells. In this study, a microfluidic device was proposed to generate uniform water-in-oil cell-encapsulating micro-droplets, followed by the fluorescence-based optical detection of lactic acid produced within the micro-droplets. To test its feasibility to quantify cancer cells, experiments were carried out. Results showed that the detection signals were proportional to the number of cancer cells within the micro-droplets, whereas such signals were insensitive to the existence and number of leukocytes within. To further demonstrate its feasibility for cancer cell detection, the cancer cells with known cell number in a cell suspension was detected based on the method. Results revealed that there was no significant difference between the detected number and the real number of cancer cells. As a whole, the proposed method opens up a new route to detect live CTCs in a label-free manner.
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