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King, T.

Publications and source records attributed to King, T..

23 records · Page 2Linked to original sources

Perilipin2 down-regulation in beta cells impairs insulin secretion under nutritional stress and damages mitochondria

Perilipin 2 (PLIN2) is the lipid droplet (LD) protein in {beta} cells that increases under nutritional stress. Down-regulation of PLIN2 is often sufficient to reduce LD accumulation. To determine whether PLIN2 positively or negatively affects {beta} cell function under nutritional stress, PLIN2 was down-regulated in mouse {beta} cells, INS1 cells, and human islet cells. {beta} cell specific deletion of PLIN2 in mice on a high fat diet reduced glucose-stimulated insulin secretion (GSIS) in vivo and in vitro. Down-regulation of PLIN2 in INS1 cells blunted GSIS after 24 h incubation with 0.2 mM palmitic acids. Down-regulation of PLIN2 in human pseudoislets cultured at 5.6 mM glucose impaired both phases of GSIS, indicating that PLIN2 is critical for GSIS. Down-regulation of PLIN2 decreased specific OXPHOS proteins in all three models and reduced oxygen consumption rates in INS1 cells and mouse islets. Moreover, we found that PLIN2 deficient INS1 cells increased the distribution of a fluorescent oleic acid analog to mitochondria and showed signs of mitochondrial stress as indicated by susceptibility to fragmentation and alterations of acyl-carnitines and glucose metabolites. Collectively, PLIN2 in {beta} cells have an important role in preserving insulin secretion, {beta} cell metabolism and mitochondrial function under nutritional stress.

molecular biology↗

TIMP-1 attenuates the development of cutaneous inflammation-induced hypersensitivity

Unresolved inflammation is a significant predictor for developing chronic pain, and targeting the mechanisms underlying inflammation offers opportunities for therapeutic intervention. During inflammation, matrix metalloproteinase (MMP) activity contributes to tissue remodeling and inflammatory signaling through proteolytic maturation of cytokines. MMP activity is regulated by tissue inhibitors of metalloproteinases (TIMPs) 1-4. TIMP-1 and -2 have known roles in pain, but only in the context of MMP inhibition. However, TIMP-1 also has receptor-mediated cell signaling functions that are not well understood. Here, we examined how TIMP-1-dependent cell signaling impacted inflammatory hypersensitivity and ongoing pain. We found that hindpaw injection of complete Freunds adjuvant (CFA) increased keratinocyte-derived TIMP-1 that peaked 3 days following inflammation, when mechanical hypersensitivity began to emerge in WT mice. These data suggest that TIMP-1 expression inhibits the development of inflammatory hypersensitivity. To examine this possibility, we injected TIMP-1 knockout (T1KO) mice with a diluted CFA mixture to examine how subtle cutaneous inflammation affected behavioral hypersensitivity. T1KO mice exhibited rapid onset thermal and mechanical hypersensitivity at the site of inflammation that was absent or attenuated in WT controls. We also found that T1KO mice exhibited hypersensitivity in adjacent tissues innervated by different sets of afferents, and skin contralateral to the site of inflammation. Replacement of recombinant murine (rm)TIMP-1 alleviated hypersensitivity when administered at the site and time of inflammation. To examine the MMP-dependent and -independent mechanisms of rmTIMP-1, T1KO mice were administered full-length rmTIMP-1, the N-terminal region (TIMP-1(N)) with MMP-inhibitory properties, or the C-terminal region (TIMP-1(C)) that retains receptor signaling function. Each of the peptides prevented inflammatory hypersensitivity, suggesting that rmTIMP-1 acts through mechanisms that also include receptor-mediated cell signaling. We also found that hypersensitivity was neither due to genotype-specific differences in MMP-9 activity or expression, nor to differences in cytokine expression. Finally, to evaluate the potential clinical utility of TIMP-1, we administered rmTIMP-1 to WT mice and found that rmTIMP-1 prevented clonidine-induced conditioned place preference (e.g., ongoing pain) and inflammatory mechanical hypersensitivity. Collectively, our data suggest a novel role for TIMP-1 in the attenuation of inflammatory pain that occurs through previously uncharacterized cell signaling mechanisms.

neuroscience↗

TCR and inflammatory signals tune human MAIT cells to exert specific tissue repair and effector functions

MAIT cells are an abundant T cell population that are highly enriched in epithelial tissues such as the liver. They are known to be activated both through TCR-dependent and -independent mechanisms. However, the specific functional responses of MAIT cells to these signals remain elusive. We examined the impact of combinations of TCR-dependent and -independent signals in blood and tissue-derived human MAIT cells. TCR-dependent and -independent signals drive MAIT cells to exert overlapping and unique effector functions. Importantly, this includes several novel functions that are relevant not only to host defence but also tissue homeostasis. While TCR triggering is insufficient to drive sustained activation, gene expression signatures of TCR-triggered MAIT cells also showed specific enrichment of tissue-repair functions. Activation of certain effector and antimicrobial functions may be triggered further with specific innate cytokine signals, such as the TNF superfamily member TL1A. In addition, gut-resident cells exposed to commensal-derived ligands showed evidence of persistent activation in vivo. Taken together, this study demonstrates the pivotal role of MAIT cells in controlling the balance between healthy and pathological processes of tissue inflammation and repair.

immunology↗

Mathematical Modeling Identifies the Role of Adaptive Immunity as a Key Controller of Respiratory Syncytial Virus (RSV) Titer in Cotton Rats

Respiratory syncytial virus (RSV) is a common virus that can have varying effects ranging from mild cold-like symptoms to mortality depending on the age and immune status of the individual. We combined mathematical modeling using ordinary differential equations (ODEs) with measurement of RSV infection kinetics in primary well differentiated human airway epithelial (HAE) cultures in vitro and in immunocompetent and immunosuppressed cotton rats to glean mechanistic details that underlie RSV infection kinetics in the lung. Quantitative analysis of viral titer kinetics in our mathematical model showed that the elimination of infected cells by the adaptive immune response generates unique RSV titer kinetic features including a faster time scale of viral titer clearance than viral production, and a monotonic decrease in the peak RSV titer with decreasing inoculum dose. Parameter estimation in the ODE model using a non-linear mixed effects approach revealed a very low rate (average single cell lifetime > 10 days) of cell lysis by RSV before the adaptive immune response is initiated. Our model predicted negligible changes in the RSV titer kinetics on earlier days (< 5 d.p.i) but a slower decay in RSV titer at later days (>5 d.p.i) in immunosuppressed cotton rats compared to that in non-suppressed cotton rats in silico. These predictions were in excellent agreement with the experimental results. Our combined approach quantified the importance of the adaptive immune response in suppressing RSV infection in cotton rats, which could be useful in testing RSV vaccine candidates.\n\nImportanceA major difficulty in developing vaccines against RSV infection is our rudimentary understanding of the mechanisms that underlie RSV infection. We addressed this challenge by developing a mechanistic computational model with predictive powers for describing RSV infection kinetics in cotton rats. The model was constructed synergistically with in vitro and in vivo measurements. The combined framework determined an important role for CD8+ T cells responses in reducing RSV titers in cotton rats. The framework can be used to design future experiments to elucidate mechanisms underlying RSV infection and test outcomes for potential vaccine candidates. In addition, estimation of the model parameters provides quantitative values for parameters of biological and clinical interest such as the replication rate of RSV, the death rate of infected cells, and the average number of new infections initiated by a single infected cell.

microbiology↗

Mathematical Modeling Identifies the Role of Adaptive Immunity as a Key Controller of Respiratory Syncytial Virus (RSV) Titer in Cotton Rats

Respiratory syncytial virus (RSV) is a common virus that can have varying effects ranging from mild cold-like symptoms to mortality depending on the age and immune status of the individual. We combined mathematical modeling using ordinary differential equations (ODEs) with measurement of RSV infection kinetics in primary well differentiated human airway epithelial (HAE) cultures in vitro and in immunocompetent and immunosuppressed cotton rats to glean mechanistic details that underlie RSV infection kinetics in the lung. Quantitative analysis of viral titer kinetics in our mathematical model showed that the elimination of infected cells by the adaptive immune response generates unique RSV titer kinetic features including a faster time scale of viral titer clearance than viral production, and a monotonic decrease in the peak RSV titer with decreasing inoculum dose. Parameter estimation in the ODE model using a non-linear mixed effects approach revealed a very low rate (average single cell lifetime > 10 days) of cell lysis by RSV before the adaptive immune response is initiated. Our model predicted negligible changes in the RSV titer kinetics on earlier days (< 5 d.p.i) but a slower decay in RSV titer in immunosuppressed cotton rats compared to that in non-suppressed cotton rats at later days (>5 d.p.i) in silico. These predictions were in excellent agreement with the experimental results. Our combined approach quantified the importance of the adaptive immune response in suppressing RSV infection in cotton rats, which could be useful in testing RSV vaccine candidates.\n\nImportanceA major difficulty in developing vaccines against RSV infection is our rudimentary understanding of the mechanisms that underlie RSV infection. We addressed this challenge by developing a mechanistic computational model with predictive powers for describing RSV infection kinetics in cotton rats. The model was constructed synergistically with in vitro and in vivo measurements. The combined framework determined an important role for CD8+ T cells responses in reducing RSV titers in cotton rats. The framework can be used to design future experiments to elucidate mechanisms underlying RSV infection and test outcomes for potential vaccine candidates. In addition, estimation of the model parameters provides quantitative values for parameters of biological and clinical interest such as the replication rate of RSV, the death rate of infected cells, and the average number of new infections initiated by a single infected cell.

microbiology↗