scholarly journals Glucocorticoid Signaling and Bone Biology

2016 ◽  
Vol 48 (11) ◽  
pp. 755-763 ◽  
Author(s):  
T. Komori
2013 ◽  
pp. 1-1
Author(s):  
Rowan Hardy ◽  
Aiqing Li ◽  
Shihani Stoner ◽  
Jan Tuckermann ◽  
Markus Seibel ◽  
...  

2013 ◽  
pp. 1-1
Author(s):  
Benjamin D Weger ◽  
Meltem Weger ◽  
Nicolas Diotel ◽  
Michael Nusser ◽  
Sepand Rastegar ◽  
...  

Cytokine ◽  
2021 ◽  
pp. 155559
Author(s):  
Jeevithan Elango ◽  
Bin Bao ◽  
Wenhui Wu
Keyword(s):  

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 650.2-651
Author(s):  
P. C. Taylor ◽  
E. Elboudwarej ◽  
B. Downie ◽  
J. Liu ◽  
R. E. Hawtin ◽  
...  

Background:Filgotinib (FIL), an oral selective Janus kinase 1 (JAK1) inhibitor has shown efficacy and safety in multiple phase 3 studies in adults with moderately-to-severely active rheumatoid arthritis (RA), including those with prior inadequate response to methotrexate (MTX) therapy (FINCH1;NCT02889796).Objectives:A longitudinal study of protein biomarkers related to JAK signaling1, bone biology2, immune cell migration2, and inflammation2was conducted to identify RA-associated markers altered by FIL vs MTX or adalimumab (ADA).Methods:FINCH1 RA patients (pts) were randomized to receive either a stable dose of MTX with placebo (PBO+MTX), ADA+MTX, and either FIL100mg+MTX or FIL200mg+MTX, once daily. Plasma, serum, and urine samples were taken from a subset of pts (~548) at baseline (BL) and weeks (wks) 4 and 12. Twenty-six pre-defined cytokines (biomarkers) were evaluated using ELISA. BL correlation between biomarkers and clinical response measures (DAS28CRP, SJC28, TJC28, CDAI, Patient Assessment and FACIT), were analyzed by Spearman Rank. Multiscale bootstrap resampling evaluated significant intra-cluster biomarker membership. Mean changes in biomarker levels from BL to wks 4 and 12 were compared between arms using PBO-adjusted estimates from a linear mixed effects model. A 5% false-discovery rate was applied for all analyses.Results:At BL, distinct biomarker-based pt clusters (CL) were identified. The strongest intra-group correlations were in bone-cartilage resorption/inflammation (CL1; Rho range 0.37–0.88) and JAK activity (CL2; Rho range 0.41–0.71). Individual BL cytokine levels were significantly associated with DAS28CRP, with unique biomarkers specific to various subcomponents of the score. Eleven biomarkers were associated with DAS28CRP, while 5, 3, and 2 were associated with CDAI, SJC28, and TJC28, respectively. The magnitude of FIL-associated treatment effects was time- and dose-dependent. Significant biomarker changes from BL were observed in FIL pts, relative to PBO+MTX pts. FIL100mg+MTX led to a significant change in 8 biomarkers by either 4 or 12 wks of treatment; FIL200mg+MTX significantly changed these and an additional 4 biomarkers by either time point. The greatest effect of FIL200mg+MTX was at 12 wks for CXCL13 (-38.4%) and IL6 (-53.7%). All treatment arms led to significant reductions in TNFα relative to PBO+MTX. FIL200mg+MTX treatment led to larger reductions of TNFα than ADA+MTX treatment at both wk4 (-24.7% vs -17.9%) and wk12 (-20.5% vs -12.2%), although the differences were not statistically significant.FIL and ADA caused differential patterns of cytokine response at either wks 4 or 12. Of 12 biomarkers with a significant FIL200mg+MTX treatment effect, there was a significantly larger reduction in TNFSF13B and CTX1 relative to ADA+MTX at 12 wks. Of 8 biomarkers with FIL100mg+MTX effects, only 2 (CXCL10 at wk 4; CXCL13 at wks 4 and 12) had significant differences from ADA+MTX. Relative either to FIL200mg+MTX or FIL100mg+MTX, and despite the same direction of effect, ADA+MTX led to a significantly larger reduction in CCL2, CXCL10, CCL4, and CXCL13.Conclusion:Compared with PBO, 12 wks of FIL treatment significantly reduced cytokines associated with JAK activity1, bone biology2, inflammation2, and immune cell migration2in MTX-IR pts. The effects were largely FIL dose-dependent; most cytokines exhibited similar effects regardless of treatment arms, but differential changes between FIL+MTX and ADA+MTX were observed, supportive of the different mechanisms of action of these therapies.References:[1]Majoros A, et al. Front Immunol. 2017;8:29[2]Brennan F, and McInnes I. J Clin Invest. 2008;118:3537-45Acknowledgments:This study was funded by Gilead Sciences, Inc. Editorial support was provided by Fishawack Communications Inc and funded by Gilead Sciences, Inc.Disclosure of Interests:Peter C. Taylor Grant/research support from: Celgene, Eli Lilly and Company, Galapagos, and Gilead, Consultant of: AbbVie, Biogen, Eli Lilly and Company, Fresenius, Galapagos, Gilead, GlaxoSmithKline, Janssen, Nordic Pharma, Pfizer Roche, and UCB, Emon Elboudwarej Shareholder of: Gilead Sciences Inc., Employee of: Gilead Sciences Inc., Bryan Downie Shareholder of: Gilead Sciences Inc., Employee of: Gilead Sciences Inc., Jinfeng Liu Shareholder of: Gilead Sciences Inc., Roche, Employee of: Gilead Sciences Inc., Rachael E. Hawtin Shareholder of: Gilead Sciences Inc., Employee of: Gilead Sciences Inc., Amer M. Mirza Shareholder of: Gilead Sciences Inc., Employee of: Gilead Sciences Inc.


Cancers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1059
Author(s):  
Jinyeong Yu ◽  
Sanghyuk Choi ◽  
Aran Park ◽  
Jungbeom Do ◽  
Donghyun Nam ◽  
...  

Cancer cachexia is a multifactorial systemic inflammation disease caused by complex interactions between the tumor and host tissues via soluble factors. However, whether cancer cachexia affects the bone marrow, in particular the hematopoietic stem cells (HSCs) and mesenchymal stem cells (MSCs), remains unclear. Here, we investigated the bone marrow and bone in a cancer cachexia animal model generated by transplanting Lewis lung carcinoma cells. The number of bone marrow mononuclear cells (BM-MNCs) started to significantly decrease in the cancer cachectic animal model prior to the discernable loss of muscle and fat. This decrease in BM-MNCs was associated with myeloid skewing in the circulation and the expansion of hematopoietic progenitors in the bone marrow. Bone loss occurred in the cancer cachexia animal model and accompanied the decrease in the bone marrow MSCs that play important roles in both supporting HSCs and maintaining bone homeostasis. Glucocorticoid signaling mediated the decrease in bone marrow MSCs in the cancer cachectic environment. The cancer cachexia environment also skewed the differentiation of the bone marrow MSCs toward adipogenic fate via JAK/STAT as well as glucocorticoid signaling. Our results suggest that the bone loss induced in cancer cachexia is associated with the depletion and the impaired differentiation capacity of the bone marrow MSCs.


Rheumatology ◽  
2020 ◽  
Vol 59 (Supplement_2) ◽  
Author(s):  
Peter C Taylor ◽  
Emon Elboudwarej ◽  
Wanying Li ◽  
Rachael E Hawtin ◽  
Jinfeng Liu ◽  
...  

Abstract Background Filgotinib (FIL), an oral JAK1-selective inhibitor, was safe and effective in FINCH2, a randomised, double-blind, placebo (PBO)-controlled, phase 3 study in patients with active rheumatoid arthritis (RA) who had an inadequate response to methotrexate (MTX) and ≥1 biologic disease-modifying antirheumatic drug. A longitudinal study of cytokines from patients in FINCH2 was conducted to identify RA-associated biomarkers related to bone biology, immune cell migration, and inflammation that are altered by FIL therapy; and FIL-associated biomarkers that correlate with clinical response (DAS28CRP, swollen and tender joint counts, pain, and fatigue). Methods Plasma, serum and urine samples from RA patients (n = 449) receiving FIL (100mg, 200mg) or PBO once daily plus MTX were analysed at baseline (BL) and week 12 (W12) for 42 disease-relevant cytokines using validated, commercially available single- or multiplex assays. PBO corrected on-treatment changes in cytokine levels from BL to W12 were compared between treatment arms (Wilcoxon rank sum). Spearman rank correlation was used to compare changes in cytokine level from BL to W12 and clinical response. P-values <0.05 were considered significant. Results At W12, 18 of 42 cytokines significantly decreased with FIL 100mg treatment relative to PBO; FIL 200mg decreased these cytokines to a similar or greater degree. An additional 6 cytokines were significantly decreased by FIL 200mg. Conversely, 2 cytokines increased relative to PBO with FIL 100mg, and 6 cytokines increased with FIL 200mg (sIL-6R, IL10, GMCSF, IL2, leptin, and IL17A). Biomarkers most significantly modulated by FIL 200mg (p < 0.0001) included markers related to bone biology (MMP1 [-22.8%], MMP3 [-24.7%], CTX1 [-27.4% ], and NTX [-16.4%]), immune cell migration (VCAM1 [-20.0%], ICAM1 [-14.2%], CXCL13 [-45.0%], and CXCL10 [-32.3%]), and inflammation (TNFRI[-20.7%], CRP [-77.4%], SAA [-61.8%], and resistin [-20.2%]). Hierarchical clustering of BL biomarker levels revealed distinct groups of cytokines that were strongly correlated with each other. Among them, SAA, IL6 and CXCL10, were significantly positively correlated with each other (rho>0.6) and with RA disease activity (DAS28CRP) at BL (rho>0.3). Biomarkers, including CRP (IL6, SAA), PainVAS (CRP, SAA), and SJC28 (CRP, IL6, CXCL10), were also significantly correlated with individual components of DAS28CRP. Several biomarkers associated with RA disease activity at BL were decreased with FIL at W12 relative to PBO (FIL 100mg: CRP [-48.7%], SAA [-36.9%], and IL6 [-2.6%] and FIL 200mg: CRP [-77.4%], SAA [-61.8%], IL6 [-13.6%], CXCL10 [-32.3%]), suggesting FIL impacts these disease activities at a molecular level. Conclusion Twelve weeks of FIL treatment significantly reduced 24 disease-relevant cytokines in patients with active RA. Effects were dose-dependent and suggest a shift toward restored immune homeostasis. Findings are consistent with the clinical efficacy of FIL in FINCH2. Disclosures P.C. Taylor: Consultancies; Consultant for AbbVie, BMS, Jansses, Pfizer, Roche, Lilly, Sanofi, MSD, Novartis, Celgene and Gilead. E. Elboudwarej: Corporate appointments; Employee of Gilead Sciences, Inc. Shareholder/stock ownership; Shareholder of Gilead Sciences, Inc. W. Li: Corporate appointments; Employee of Gilead Sciences, Inc. Shareholder/stock ownership; Shareholder of Gilead Sciences, Inc. R.E. Hawtin: Corporate appointments; Employee of Gilead Sciences, Inc. Shareholder/stock ownership; Shareholder of Gilead Sciences, Inc. J. Liu: Corporate appointments; Employee of Gilead Sciences, Inc. Shareholder/stock ownership; Shareholder of Gilead Sciences, Inc. A.M. Mirza: Corporate appointments; Employee of Gilead Sciences, Inc. Shareholder/stock ownership; Shareholder of Gilead Sciences, Inc.


2005 ◽  
Vol 20 (7) ◽  
pp. 1079-1084 ◽  
Author(s):  
Nadine A Defranoux ◽  
Cynthia L Stokes ◽  
Daniel L Young ◽  
Arnold J Kahn

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