scholarly journals Development of the bone phenotype and microRNA profile in adults with LRP5‐HBM disease.

JBMR Plus ◽  
2021 ◽  
Author(s):  
Jens‐Jacob Lindegaard Lauterlein ◽  
Fatma Gossiel ◽  
Moritz Weigl ◽  
Richard Eastell ◽  
Matthias Hackl ◽  
...  
2013 ◽  
pp. 1-1
Author(s):  
Laura Gathercole ◽  
Craig Doig ◽  
Jonathan Hazlehurst ◽  
Sarah Borrows ◽  
Paul Stewart ◽  
...  

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 808.1-809
Author(s):  
F. Roemer ◽  
J. Collins ◽  
T. Neogi ◽  
M. Crema ◽  
A. Guermazi

Background:Imaging plays an important role in determining structural disease severity and potential suitability of patients recruited to disease-modifying osteoarthritis drug (DMOAD) trials. It has been suggested that there may be three main structural phenotypes in OA, i.e., inflammation, meniscus/cartilage and subchondral bone. These may progress differently and may represent distinct tissue targets for DMOAD approaches.Objectives:To stratify the Foundation for National Institutes of Health Osteoarthritis Biomarkers Consortium (FNIH) cohort, a well-defined subsample of the larger Osteoarthritis Initiative (OAI) study, into distinct structural phenotypes based on semiquantitative MRI assessment and to determine their risk for progression over 48 months.Methods:The FNIH was designed as a case-control study with knees showing either 1) radiographic and pain progression (i.e., “composite” cases), 2) radiographic progression only (“JSL”), 3) pain progression only, and 4) neither radiographic nor pain progression. MRI of both knees was performed on 3 T systems at the four OAI clinical sites. Two musculoskeletal radiologists read the baseline MRIs according to the MOAKS scoring system. Knees were stratified into subchondral bone, meniscus/cartilage and inflammatory phenotypes1. A secondary, less stringent definition for inflammatory and meniscus/cartilage phenotype was used for sensitivity analyses. The relation of each phenotype to risk of being in the JSL or composite case group compared to those not having that phenotype was determined using conditional logistic regression. Only KL2 and 3 and those without root tears were included.Results:485 knees were included. 362 (75%) did not have any phenotype, while 95 (20%) had the bone phenotype, 22 (5%) the cartilage/meniscus phenotype and 19 (4%) the inflammatory phenotype. The bone phenotype was associated with a higher risk of the JSL and composite outcome (OR 1.81;[95%CI 1.14,2.85] and 1.65; 95%CI [1.04,2.61]) while the inflammatory (OR 0.96 [95%CI 0.38,2.42] and 1.25; 95%CI [0.48,3.25]) and the meniscus/cartilage phenotypes were not (OR 1.30 95%CI [0.55,3.07] and 0.99; 95%CI [0.40,2,49]).In sensitivity analyses, the bone phenotype and having two phenotypes (vs. none) were both associated with increased risk of experiencing the composite outcome (bone: OR 1.65; 95% CI 1.04, 2.61; 2 phenotypes: OR 1.87; 95% CI 1.11, 3.16.Conclusion:The bone phenotype was associated with increased risk of having both radiographic and pain progression together, or radiographic progression alone, whereas the inflammatory phenotype or meniscus/cartilage phenotype each individually were not associated with either outcome. Phenotypic stratification appears to provide insights into risk for structural or composite structure plus pain progression, and therefore may be useful to consider when selecting patients for inclusion in clinical trials.References:[1]Roemer FW, Collins J, Kwoh CK, et al. MRI-based screening for structural definition of eligibility in clinical DMOAD trials: Rapid OsteoArthritis MRI Eligibility Score (ROAMES). Osteoarthritis Cartilage 2020;28(1):71-81Disclosure of Interests:Frank Roemer: None declared, Jamie Collins Consultant of: Boston Imaging Core Lab (BICL), LLC., Tuhina Neogi Grant/research support from: Pfizer/Lilly, Consultant of: Pfizer/Lilly, EMD-Merck Serono, Novartis, Michel Crema: None declared, Ali Guermazi Consultant of: AventisGalapagos, Pfizer, Roche, AstraZeneca, Merck Serono, and TissuGene


2021 ◽  
Vol 165 ◽  
pp. 32
Author(s):  
Dalia Ali ◽  
Sara Abuelreich ◽  
Radhakrishnan Vishnubalaji ◽  
Nicholas Ditzel ◽  
Meshail Okla ◽  
...  

Bone Reports ◽  
2020 ◽  
Vol 13 ◽  
pp. 100337
Author(s):  
Riikka Mäkitie ◽  
Matthias Hackl ◽  
Moritz Weigl ◽  
Anders Kämpe ◽  
Alice Costantini ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 172
Author(s):  
Izabela Papiewska-Pająk ◽  
Patrycja Przygodzka ◽  
Damian Krzyżanowski ◽  
Kamila Soboska ◽  
Izabela Szulc-Kiełbik ◽  
...  

During metastasis, cancer cells undergo phenotype changes in the epithelial-mesenchymal transition (EMT) process. Extracellular vesicles (EVs) released by cancer cells are the mediators of intercellular communication and play a role in metastatic process. Knowledge of factors that influence the modifications of the pre-metastatic niche for the migrating carcinoma cells is important for prevention of metastasis. We focus here on how cancer progression is affected by EVs released from either epithelial-like HT29-cells or from cells that are in early EMT stage triggered by Snail transcription factor (HT29-Snail). We found that EVs released from HT29-Snail, as compared to HT29-pcDNA cells, have a different microRNA profile. We observed the presence of interstitial pneumonias in the lungs of mice injected with HT29-Snail cells and the percent of mice with lung inflammation was higher after injection of HT29-Snail-EVs. Incorporation of EVs released from HT29-pcDNA, but not released from HT29-Snail, leads to the increased secretion of IL-8 from macrophages. We conclude that Snail modifications of CRC cells towards more invasive phenotype also alter the microRNA cargo of released EVs. The content of cell-released EVs may serve as a biomarker that denotes the stage of CRC and EVs-specific microRNAs may be a target to prevent cancer progression.


2018 ◽  
Vol 33 (suppl_1) ◽  
pp. i538-i538
Author(s):  
Anders Christensson ◽  
Dag Eckersten ◽  
Aleksander Giwercman ◽  
Christos Tsatsanis ◽  
Dorota Trzybulska

2015 ◽  
Vol 31 (4) ◽  
pp. 852-863 ◽  
Author(s):  
Ann-Kathrin Behrendt ◽  
Angela Kuhla ◽  
Anja Osterberg ◽  
Christian Polley ◽  
Philipp Herlyn ◽  
...  

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