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Fabry disease (FD) is an X-linked metabolic storage disorder arising from the deficiency of lysosomal α-galactosidase A, which leads to the gradual accumulation of glycosphingolipids, mainly globotriaosylceramide (Gb3), throughout the body. Pain in the extremities is an early symptom of FD; however, the underlying pathophysiological mechanisms remain unknown. α-Galactosidase A knockout animals exhibit nociceptive behaviors, with enhanced expression levels of several ion channels. These characteristics are observed in animals treated with nerve growth factor (NGF). Here, we aimed to elucidate the potential of NGF signaling as a cause of FD-associated pain, using intraplantar Gb3-treated mice displaying mechanical allodynia. AUNP-12 datasheet Treatment with a neutralizing antibody against a precursor of NGF (proNGF) or its receptor, p75 neurotrophin receptor (p75NTR), resulted in the recovery from Gb3-induced pain. Conversely, anti-NGF and anti-tropomyosin receptor kinase A antibodies failed to exert analgesic effects. Gb3 injection had no effects on the expression levels of proNGF and p75NTR in the plantar skin and dorsal root ganglia, suggesting that Gb3 activates the pain pathway, possibly mediated through functional up-regulation of proNGF-p75NTR signaling. Furthermore, by pharmacological approaches using a protein kinase A (PKA) inhibitor and a cholesterol-removing agent, we found that p75NTR-phosphorylating PKA and lipid rafts for phosphorylated p75NTR translocation were required for Gb3-induced pain. These results suggest that acute exposure to Gb3 induces mechanical allodynia via activation of the proNGF-p75NTR pathway, which involves lipid rafts and PKA. Our findings provide new pathological insights into FD-associated pain, and suggest the need to develop therapeutic interventions targeting proNGF-p75NTR signaling.We have recently demonstrated that aldose reductase (AR) inhibitor; fidarestat prevents doxorubicin (Dox)-induced cardiotoxic side effects and inflammation in vitro and in vivo. However, the effect of fidarestat and its combination with Dox on immune cell activation and the immunomodulatory effects are not known. In this study, we examined the immunomodulatory effects of fidarestat in combination with Dox in vivo and in vitro. We observed that fidarestat decreased Dox-induced upregulation of CD11b in THP-1 monocytes. Fidarestat further attenuated Dox-induced upregulation of IL-6, IL-1β, and Nos2 in murine BMDM. Fidarestat also attenuated Dox-induced activation and infiltration of multiple subsets of inflammatory immune cells identified by expression of markers CD11b+, CD11b+F4/80+, Ly6C+CCR2high, and Ly6C+CD11b+ in the mouse spleen and liver. Furthermore, significant upregulation of markers of mitochondrial biogenesis PGC-1α, COX IV, TFAM, and phosphorylation of AMPKα1 (Ser485) was observed in THP-1 cells and livers of mice treated with Dox in combination with fidarestat. Our results suggest that fidarestat by up-regulating mitochondrial biogenesis exerts protection against Dox-induced immune and inflammatory responses in vitro and in vivo, providing further evidence for developing fidarestat as a combination agent with anthracycline drugs to prevent chemotherapy-induced inflammation and toxicity.Intervertebral disc degeneration (IDD) is a spinal degenerative disease and one of the most important causes of musculoskeletal disability. Matrix metalloproteinase (MMP)-mediated extracellular matrix degradation is the core process of IDD. The regulators of MMPs in the intervertebral disc are still not fully known. In this study, using quantitative reverse transcription PCR, luciferase reporter assay, Western blotting, immunofluorescence, flow cytometry, and Cell Counting Kit-8 assay, we found that the miR-874-3p expression level was significantly decreased in IDD patients. MiR-874-3p could target and repress MMP2 and MMP3 expression in nucleus pulposus cells. These results could improve the understanding of IDD and provide a possible diagnostic marker and treatment candidate for IDD. The miR-874-3p/MMP2/MMP3 axis might also provide direction for future cancer and inflammation investigations.Careful analysis of previously published reports and some new insights into the structure activity studies revealed an important role of Threonine 1143 in drug binding. Substituting T1143 by alanine and other residues significantly reduced channel inhibition by qDil and Dil. Mutation T1143A did not affect channel activation or inactivation while almost completely diminishing channel block by Dil or qDil. These findings support the view that T1143 serves as drug binding determinant. Other mutations in this position than T1143A (T1143L/Y/S/N/C/V/E) diminished channel inhibition by qDil but additionally affected channel activation and inactivation and may therefore affect channel block allosterically. Collectively, our data suggest that T1143 is an essential diltiazem binding determinant.

Multiple morbidity is the norm in advanced COPD and contributes to high symptom burden and worse outcomes.

Can distinct comorbidity profiles be identified and validated in a community-based sample of patients with COPD from a large integrated health-care system using a standard, commonly used diagnostic code-based comorbidity index and downstream 2-year health-care use data?

In this retrospective cohort study, we used latent class analysis (LCA) to identify comorbidity profiles in a population-based sample of 91,453 patients with a COPD diagnosis between 2011 and 2015. We included specific comorbid conditions from the Charlson Comorbidity Index (CCI) and accounted for variation in underlying prevalence of different comorbidities across the three study sites. Sociodemographic, clinical, and health-care use data were obtained from electronic health records (EHRs). Multivariate logistic regression analysis was used to compare rates of acute and postacute care use by class.

The mean age was 71 ± 11 years,h COPD using standard EHR-based diagnostic codes, and these profiles are associated with subsequent acute and postacute care use. Population-based risk stratification schemes for end-to-end, comprehensive COPD management should consider integrating comorbidity profiles such as those found in this study.

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