scholarly journals Erratum: Proteomic analysis of JAK2V617F-induced changes identifies potential new combinatorial therapeutic approaches

Leukemia ◽  
2017 ◽  
Vol 32 (2) ◽  
pp. 574-574
Author(s):  
S Pearson ◽  
A J K Williamson ◽  
R Blance ◽  
T C P Somervaille ◽  
S Taylor ◽  
...  
Keyword(s):  
Proteomic Analysis ◽  
Therapeutic Approaches ◽  
Induced Changes

scholarly journals Quantitative Proteomic Analysis of Plasma after Remote Ischemic Conditioning in a Rhesus Monkey Ischemic Stroke Model

Biomolecules ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1164
Author(s):  
Siying Song ◽  
Linlin Guo ◽  
Di Wu ◽  
Jingfei Shi ◽  
Yunxia Duan ◽  
...  
Keyword(s):  
Lipid Metabolism ◽  
Rhesus Monkey ◽  
Proteomic Analysis ◽  
Complement C3 ◽  
Protective Effects ◽  
Plasma Proteome ◽  
Remote Ischemic Conditioning ◽  
Ischemic Conditioning ◽  
Metabolism Regulation ◽  
Induced Changes

Background: Animal and clinical studies have shown that remote ischemic conditioning (RIC) has protective effects for cerebral vascular diseases, with induced humoral factor changes in the peripheral blood. However, many findings are heterogeneous, perhaps due to differences in the RIC intervention schemes, enrolled populations, and sample times. This study aimed to examine the RIC-induced changes in the plasma proteome using rhesus monkey models of strokes. Methods: Two adult rhesus monkeys with autologous blood clot-induced middle cerebral artery (MCA) occlusion underwent RIC interventions twice a week for five consecutive weeks. Each RIC treatment included five cycles of five minutes of ischemia alternating with five minutes of reperfusion of the forearm. The blood samples were taken from the median cubital vein of the monkeys at baseline and immediately after each week’s RIC stimulus. The plasma samples were isolated for a proteomic analysis using mass spectrometry (MS). Results: Several proteins related to lipid metabolism (Apolipoprotein A-II and Apolipoprotein C-II), coagulation (Fibrinogen alpha chain and serpin), immunoinflammatory responses (complement C3 and C1), and endovascular hemostasis (basement membrane-specific heparan sulfate proteoglycan) were significantly modulated after the RIC intervention. Many of these induced changes, such as in the lipid metabolism regulation and anticoagulation responses, starting as early as two weeks following the RIC intervention. The complementary activation and protection of the endovascular cells occurred more than three weeks postintervention. Conclusions: Multiple protective effects were induced by RIC and involved lipid metabolism regulation (anti-atherogenesis), anticoagulation (antithrombosis), complement activation, and endovascular homeostasis (anti-inflammation). In conclusion, this study indicates that RIC results in significant modulations of the plasma proteome. It also provides ideas for future research and screening targets.

Comparative Proteomic Analysis of Radiation-Induced Changes in Mouse Lung: Fibrosis-Sensitive and -Resistant Strains

2008 ◽  
Vol 169 (4) ◽  
pp. 417-425 ◽  
Author(s):  
Xiaoping Ao ◽  
David M. Lubman ◽  
Mary A. Davis ◽  
Xianying Xing ◽  
Feng-Ming Kong ◽  
...  
Keyword(s):  
Proteomic Analysis ◽  
Lung Fibrosis ◽  
Mouse Lung ◽  
Comparative Proteomic Analysis ◽  
Radiation Induced ◽  
Resistant Strains ◽  
Induced Changes

scholarly journals Proteomic Analysis of Radiation-Induced Changes in Rat Lung: Modulation by the Superoxide Dismutase Mimetic MnTE-2-PyP5+

2010 ◽  
Vol 78 (2) ◽  
pp. 547-554 ◽  
Author(s):  
Vasily A. Yakovlev ◽  
Christopher S. Rabender ◽  
Heidi Sankala ◽  
Ben Gauter-Fleckenstein ◽  
Katharina Fleckenstein ◽  
...  
Keyword(s):  
Superoxide Dismutase ◽  
Proteomic Analysis ◽  
Rat Lung ◽  
Radiation Induced ◽  
Induced Changes

scholarly journals Obesity and disease severity magnify disturbed microbiome-immune interactions in asthma patients

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
David Michalovich ◽  
Noelia Rodriguez-Perez ◽  
Sylwia Smolinska ◽  
Michal Pirozynski ◽  
David Mayhew ◽  
...  
Keyword(s):  
Disease Severity ◽  
Molecular Mechanisms ◽  
Murine Models ◽  
Therapeutic Approaches ◽  
Asthma Phenotype ◽  
Disease Phenotypes ◽  
Disease States ◽  
Asthma Patients ◽  
Induced Changes ◽  
Redundant Role

AbstractIn order to improve targeted therapeutic approaches for asthma patients, insights into the molecular mechanisms that differentially contribute to disease phenotypes, such as obese asthmatics or severe asthmatics, are required. Here we report immunological and microbiome alterations in obese asthmatics (n = 50, mean age = 45), non-obese asthmatics (n = 53, mean age = 40), obese non-asthmatics (n = 51, mean age = 44) and their healthy counterparts (n = 48, mean age = 39). Obesity is associated with elevated proinflammatory signatures, which are enhanced in the presence of asthma. Similarly, obesity or asthma induced changes in the composition of the microbiota, while an additive effect is observed in obese asthma patients. Asthma disease severity is negatively correlated with fecal Akkermansia muciniphila levels. Administration of A. muciniphila to murine models significantly reduces airway hyper-reactivity and airway inflammation. Changes in immunological processes and microbiota composition are accentuated in obese asthma patients due to the additive effects of both disease states, while A. muciniphila may play a non-redundant role in patients with a severe asthma phenotype.

Proteomic Analysis of the Genotoxicant Methylazoxymethanol (MAM)-Induced Changes in the Developing Cerebellum

2006 ◽  
Vol 5 (10) ◽  
pp. 2656-2665 ◽  
Author(s):  
G. E. Kisby ◽  
M. Standley ◽  
T. Park ◽  
A. Olivas ◽  
S. Fei ◽  
...  
Keyword(s):  
Proteomic Analysis ◽  
Induced Changes ◽  
Developing Cerebellum

Proteomic analysis of doxorubicin-induced changes in the proteome of HepG2cells combining 2-D DIGE and LC-MS/MS approaches

PROTEOMICS ◽  
2010 ◽  
Vol 10 (1) ◽  
pp. 99-114 ◽  
Author(s):  
Elke Hammer ◽  
Sandra Bien ◽  
Manuela Gesell Salazar ◽  
Leif Steil ◽  
Christian Scharf ◽  
...  
Keyword(s):  
Proteomic Analysis ◽  
Induced Changes

Quantitative Proteomic Analysis of Drug-Induced Changes in Mycobacteria

2006 ◽  
Vol 5 (1) ◽  
pp. 54-63 ◽  
Author(s):  
Minerva A. Hughes ◽  
Jeffrey C. Silva ◽  
Scott J. Geromanos ◽  
Craig A. Townsend
Keyword(s):  
Proteomic Analysis ◽  
Drug Induced ◽  
Quantitative Proteomic Analysis ◽  
Induced Changes
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