scholarly journals Dynamic urine proteome changes in a rat model of simvastatin-induced skeletal muscle injury.

2021 ◽  
Author(s):  
Jing Wei ◽  
Yuhang Huan ◽  
Ziqi Heng ◽  
Chenyang Zhao ◽  
Youhe Gao
Keyword(s):  
Animal Model ◽  
Side Effects ◽  
Rat Model ◽  
Muscle Injury ◽  
Urine Proteome ◽  
Data Independent Acquisition ◽  
Pathological Mechanism ◽  
Hematoxylin And Eosin ◽  
Biochemical Analyses ◽  
Proteome Changes

Background: Statin-associated muscle symptoms (SAMS) are the main side effects of statins. Currently, there are no effective biomarkers for accurate clinical diagnosis. Urine is not subject to homeostatic control and therefore accumulates early changes, making it an ideal biomarker source. We therefore examined urine proteome changes associated with SAMS in an animal model. Methods: Here, we established a SAMS rat model by intragastric intubation with simvastatin (80 mg/kg). Biochemical analyses and hematoxylin and eosin (H&E) staining were used to evaluate the degree of muscle injury. The urine proteome on days 3, 6, 9 and 14 was profiled using liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) with the data-independent acquisition (DIA) method. Results: Differential proteins on day 14 of SAMS were mainly associated with glycolysis/gluconeogenesis, pyruvate metabolism, metabolism of reactive oxygen species and apoptosis, all of which were reported to be associated with the pathological mechanism of SAMS. Among the 14 differentially expressed proteins on day 3, FIBG, OSTP and CRP were associated with muscle damage, while EHD1, CUBN and FINC were associated with the pathogenic mechanisms of SAMS. MYG and PRVA increased dramatically compared with CK elevation in serum on day 14 of SAMS. Conclusions: Our preliminary results indicated that the urine proteome can reflect early changes in the SAMS rat model, providing the potential for monitoring drug side effects in future clinical research. Keywords: Urine proteome, statin-associated muscle symptoms, animal model, biomarkers

scholarly journals Dynamic urine proteome changes in a rat model of simvastatin-induced skeletal muscle injury

2022 ◽  
pp. 104477
Author(s):  
Jing Wei ◽  
Yuhang Huan ◽  
Ziqi Heng ◽  
Chenyang Zhao ◽  
Lulu Jia ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Rat Model ◽  
Muscle Injury ◽  
Urine Proteome ◽  
Skeletal Muscle Injury ◽  
Proteome Changes

scholarly journals Urine Proteome Changes in a TNBS‐Induced Colitis Rat Model

2019 ◽  
Vol 13 (5) ◽  
pp. 1800100 ◽  
Author(s):  
Weiwei Qin ◽  
Lujun Li ◽  
Ting Wang ◽  
He Huang ◽  
Youhe Gao
Keyword(s):  
Rat Model ◽  
Urine Proteome ◽  
Proteome Changes

scholarly journals Early urine proteome changes in an implanted bone cancer rat model

Bone Reports ◽  
2020 ◽  
Vol 12 ◽  
pp. 100238
Author(s):  
Ting Wang ◽  
Lujun Li ◽  
Weiwei Qin ◽  
Youhe Gao
Keyword(s):  
Rat Model ◽  
Bone Cancer ◽  
Urine Proteome ◽  
Proteome Changes

scholarly journals Urine proteome changes in an α-synuclein transgenic mouse model of Parkinson’s disease

2020 ◽  
Author(s):  
Lujun Li ◽  
Xuanzhen Pan ◽  
Ting Wang ◽  
Yuanrui Hua ◽  
Youhe Gao
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Transgenic Mice ◽  
Urine Proteome ◽  
Data Independent Acquisition ◽  
Chromatography Tandem Mass Spectrometry ◽  
Differential Proteins ◽  
Liquid Chromatography Tandem Mass ◽  
Proteome Changes ◽  
Old Mice

AbstractUrine accommodates more changes than other fluids, and it is a good source in the search for early sensitive biomarkers. The present study collected urine samples from 2-, 4-, 6-, 8- and 10-month-old α-synuclein transgenic mice. Based on data-independent acquisition (DIA) technology, liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used for quantitative analysis. Seventeen human homologous differential proteins were screened and compared with those in the urine of 2-month-old mice, and 9 proteins were related to Parkinson’s disease (PD). Formin-2, Splicing factor 3A subunit 1, and Isopentenyl-diphosphate Delta-isomerase 1 changed continuously in months 6, 8 and 10. These experiments and analyses demonstrated that the urine proteome reflected the development of α-synuclein transgenic mice and provided clues for the early clinical diagnosis of PD.

Context Aversion, Pavlovian Conditioning, and the Psychological Side Effects of Chemotherapy

1997 ◽  
Vol 2 (2) ◽  
pp. 118-124
Author(s):  
Geoffrey Hall
Keyword(s):  
Animal Model ◽  
Side Effects ◽  
Theoretical Analysis ◽  
Conditioned Response ◽  
Behavioral Strategies ◽  
Contextual Cues ◽  
Anticipatory Nausea ◽  
Laboratory Rats ◽  
Anticipatory Nausea And Vomiting ◽  
Parallel Case

Patients who have undergone several sessions of chemotherapy for cancer will sometimes develop anticipatory nausea and vomiting (ANV), these unpleasant side effects occurring as the patients return to the clinic for a further session of treatment. Pavlov's analysis of learning allows that previously neutral cues, such as those that characterize a given place or context, can become associated with events that occur in that context. ANV could thus constitute an example of a conditioned response elicited by the contextual cues of the clinic. In order to investigate this proposal we have begun an experimental analysis of a parallel case in which laboratory rats are given a nausea-inducing treatment in a novel context. We have developed a robust procedure for assessing the acquisition of context aversion in rats given such training, a procedure that shows promise as a possible animal model of ANV. Theoretical analysis of the conditioning processes involved in the formation of context aversions in animals suggests possible behavioral strategies that might be used in the alleviation of ANV, and we report a preliminary experimental test of one of these.

scholarly journals Modelling the skeletal muscle injury recovery using in vivo contrast-enhanced micro-CT: a proof-of-concept study in a rat model

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Bruno Paun ◽  
Daniel García Leon ◽  
Alex Claveria Cabello ◽  
Roso Mares Pages ◽  
Elena de la Calle Vargas ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Rat Model ◽  
Muscle Injury ◽  
Micro Ct ◽  
Skeletal Muscle Injury ◽  
Monitoring Time ◽  
Contrast Enhanced Ct ◽  
Contrast Enhanced ◽  
Injury Recovery

Abstract Background Skeletal muscle injury characterisation during healing supports trauma prognosis. Given the potential interest of computed tomography (CT) in muscle diseases and lack of in vivo CT methodology to image skeletal muscle wound healing, we tracked skeletal muscle injury recovery using in vivo micro-CT in a rat model to obtain a predictive model. Methods Skeletal muscle injury was performed in 23 rats. Twenty animals were sorted into five groups to image lesion recovery at 2, 4, 7, 10, or 14 days after injury using contrast-enhanced micro-CT. Injury volumes were quantified using a semiautomatic image processing, and these values were used to build a prediction model. The remaining 3 rats were imaged at all monitoring time points as validation. Predictions were compared with Bland-Altman analysis. Results Optimal contrast agent dose was found to be 20 mL/kg injected at 400 μL/min. Injury volumes showed a decreasing tendency from day 0 (32.3 ± 12.0mm3, mean ± standard deviation) to day 2, 4, 7, 10, and 14 after injury (19.6 ± 12.6, 11.0 ± 6.7, 8.2 ± 7.7, 5.7 ± 3.9, and 4.5 ± 4.8 mm3, respectively). Groups with single monitoring time point did not yield significant differences with the validation group lesions. Further exponential model training with single follow-up data (R2 = 0.968) to predict injury recovery in the validation cohort gave a predictions root mean squared error of 6.8 ± 5.4 mm3. Further prediction analysis yielded a bias of 2.327. Conclusion Contrast-enhanced CT allowed in vivo tracking of skeletal muscle injury recovery in rat.

508Irradiation induced early side effects in the small intestine of an animal model after photon and neutron irradiation

1996 ◽  
Vol 40 ◽  
pp. S130
Author(s):  
F.-J. Prott ◽  
H. Eversmann ◽  
R.R. Lehmann ◽  
U. Haverkamp ◽  
O. Micke ◽  
...  
Keyword(s):  
Animal Model ◽  
Small Intestine ◽  
Side Effects ◽  
Neutron Irradiation

A metabolomics-based approach for ranking the depressive level in a chronic unpredictable mild stress rat model

RSC Advances ◽  
2016 ◽  
Vol 6 (31) ◽  
pp. 25751-25765 ◽  
Author(s):  
Xinyu Yu ◽  
Shanlei Qiao ◽  
Di Wang ◽  
Jiayong Dai ◽  
Jun Wang ◽  
...  
Keyword(s):  
Animal Model ◽  
Major Depressive Disorder ◽  
Prefrontal Cortex ◽  
Depressive Disorder ◽  
Rat Model ◽  
Untargeted Metabolomics ◽  
Mild Stress ◽  
Chronic Unpredictable Mild Stress ◽  
Major Depressive ◽  
Metabolomics Study

An untargeted metabolomics study to investigate the metabolome change in plasma, hippocampus and prefrontal cortex (PFC) in an animal model with a major depressive disorder (MDD) had been conducted.

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