To see the other types of publications on this topic, follow the link: TBATS model.
Journal articles on the topic 'TBATS model'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'TBATS model.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Koopmans, Matthijs. "Using Time Series Analysis to Estimate Complex Regular Cycles in Daily High School Attendance." Fluctuation and Noise Letters 19, no. 01 (July 16, 2019): 2050003. http://dx.doi.org/10.1142/s0219477520500030.
Full textAbstract:
The Trigonometric Box-Cox ARMA Trend Seasonal (TBATS) model has been designed to estimate complex cyclical patterns (e.g., weeks within years) in time series data. This paper seeks to evaluate its applicability to educational data, daily school attendance in particular. Attendance rates in four high schools are analyzed over a ten year period using TBATS to illustrate the presence of both weekly and annual patterns in three of the schools and only weekly patterns in the fourth. The model features are explicated and it is shown how the estimation of weekly and annual cycles enhances the description of the data and improves our understanding of how the assessment of endogenous variability contributes to our understanding of daily high school attendance behavior. R script is provided in an appendix.
2
Hasanah, Silviatul. "Peramalan Jumlah Penumpang di Bandara Internasional Juanda Menggunakan Metode ARIMA, Regresi Time Series, TBATS." Justek : Jurnal Sains dan Teknologi 2, no. 1 (May 30, 2019): 27. http://dx.doi.org/10.31764/justek.v2i1.3720.
Full textAbstract:
Abstract: One of the busiest airports in Indonesia managed by PT. Angkasa Pura I is Juanda International Airport. Besides, Juanda International Airport is also one of the gateways for the Indonesian state to other countries. The number of passengers at the departure terminal at Juanda International Airport from 2012 to 2013, both domestic and international routes, has increased by about 6.74%. Meanwhile, the arrival terminal experienced an increase of about 8.31%. From 2013 to 2014 the departure route decreased by 2.51%. Meanwhile, the arrival route decreased by 1.99%. In 2014 to 2015 the departure route decreased by 11.31%. Meanwhile, the arrival route decreased by 0.78%. There is an increase and decrease in the number of passengers at Juanda International Airport, it is necessary to research forecasting the number of passengers at Juanda International Airport, both from domestic routes and international routes. The purpose of this study is to balance number of passengers and number of flights in the future with the availability of the number of aircraft and airport capacity. The data used is data on the number of passengers each month at Juanda International Airport. Where the data was obtained from PT. Angkasa Pura I (Persero). The criteria for selecting the best model based on the RMSE value shows that the best model selected by the ARIMA model has 14 routes, while the selected Time Series Regression model has 9 routes and the selected TBATS model has 7 routes.Abstrak: Salah satu bandara tersibuk di Indonesia yang diolah PT. Angkasa Pura I adalah Bandara Internasional Juanda. Selain itu, Bandara Internasional Juanda juga merupakan salah satu pintu gerbang negara Indonesia menuju negara-negara lain. Jumlah penumpang di terminal keberangkatan Bandara Internasional Juanda dari tahun 2012 hingga tahun 2013 baik rute domestik maupun internasional mengalami peningkatan sekitar 6,74%. Sedangkan di terminal kedatangan mengalami kenaikan sekitar 8,31%. Pada tahun 2013 hingga tahun 2014 pada rute keberangkatan mengalami penurunan sebesar 2,51%. Sedangkan pada rute kedatangan mengalami penurunan sebesar 1,99%.Pada tahun 2014 hingga tahun 2015 pada rute keberangkatan mengalami penurunan sebesar 11,31%. Sedangkan pada rute kedatangan mengalami penurunan sebesar 0,78%. Adanya kenaikan dan penurunan jumlah penumpang di Bandara Internasional Juanda, maka perlu diadakan penelitian mengenai peramalan jumlah penumpang di Bandara Internasional Juanda, baik dari rute domestik maupun rute internasional. Tujuan dari penelitian ini adalah untuk menyeimbangkan jumlah penumpang dan jumlah penerbangan pada masa mendatang dengan ketersediaan jumlah pesawat dan kapasitas bandar udara.Data yang digunakan adalah data jumlah penumpang tiap bulan di Bandara Internasional Juanda. Dimana data tersebut diperoleh dari PT. Angkasa Pura I (Persero). Kriteria pemilihan model terbaik berdasarkan nilai RMSE menunjukkan bahwa Model terbaik yang terpilih model ARIMA terdapat 14 rute sedangkan yang terpilih model Regresi Time Series terdapat 9 rute dan yang terpilih model TBATS terdapat 7 rute.
3
BROŻYNA, JACEK, GRZEGORZ MENTEL, BEATA SZETELA, and WADIM STRIELKOWSKI. "Multi-Seasonality in the TBATS Model Using Demand for Electric Energy as a Case Study." ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH 52, no. 1/2018 (March 19, 2018): 229–46. http://dx.doi.org/10.24818/18423264/52.1.18.14.
Full text
4
Trull, Óscar, J. García-Díaz, and Alicia Troncoso. "Application of Discrete-Interval Moving Seasonalities to Spanish Electricity Demand Forecasting during Easter." Energies 12, no. 6 (March 21, 2019): 1083. http://dx.doi.org/10.3390/en12061083.
Full textAbstract:
Forecasting electricity demand through time series is a tool used by transmission system operators to establish future operating conditions. The accuracy of these forecasts is essential for the precise development of activity. However, the accuracy of the forecasts is enormously subject to the calendar effect. The multiple seasonal Holt–Winters models are widely used due to the great precision and simplicity that they offer. Usually, these models relate this calendar effect to external variables that contribute to modification of their forecasts a posteriori. In this work, a new point of view is presented, where the calendar effect constitutes a built-in part of the Holt–Winters model. In particular, the proposed model incorporates discrete-interval moving seasonalities. Moreover, a clear example of the application of this methodology to situations that are difficult to treat, such as the days of Easter, is presented. The results show that the proposed model performs well, outperforming the regular Holt–Winters model and other methods such as artificial neural networks and Exponential Smoothing State Space Model with Box-Cox Transformation, ARMA Errors, Trend and Seasonal Components (TBATS) methods.
5
Abotaleb, Mostafa, and Tatiana Makarovskikh. "System for Forecasting COVID-19 Cases Using Time-Series and Neural Networks Models." Engineering Proceedings 5, no. 1 (July 9, 2021): 46. http://dx.doi.org/10.3390/engproc2021005046.
Full textAbstract:
COVID-19 is one of the biggest challenges that countries face at the present time, as infections and deaths change daily and because this pandemic has a dynamic spread. Our paper considers two tasks. The first one is to develop a system for modeling COVID-19 based on time-series models due to their accuracy in forecasting COVID-19 cases. We developed an “Epidemic. TA” system using R programming for modeling and forecasting COVID-19 cases. This system contains linear (ARIMA and Holt’s model) and non-linear (BATS, TBATS, and SIR) time-series models and neural network auto-regressive models (NNAR), which allows us to obtain the most accurate forecasts of infections, deaths, and vaccination cases. The second task is the implementation of our system to forecast the risk of the third wave of infections in the Russian Federation.
6
Gos, Magdalena, Jaromir Krzyszczak, Piotr Baranowski, Małgorzata Murat, and Iwona Malinowska. "Combined TBATS and SVM model of minimum and maximum air temperatures applied to wheat yield prediction at different locations in Europe." Agricultural and Forest Meteorology 281 (February 2020): 107827. http://dx.doi.org/10.1016/j.agrformet.2019.107827.
Full text
7
Neslihanoglu, Serdar, Ecem Ünal, and Ceylan Yozgatlıgil. "Performance comparison of filtering methods on modelling and forecasting the total precipitation amount: a case study for Muğla in Turkey." Journal of Water and Climate Change 12, no. 4 (March 23, 2021): 1071–85. http://dx.doi.org/10.2166/wcc.2021.332.
Full textAbstract:
Abstract Condensed water vapor in the atmosphere is observed as precipitation whenever moist air rises sufficiently enough to produce saturation, condensation, and the growth of precipitation particles. It is hard to measure the amount and concentration of total precipitation over time due to the changes in the amount of precipitation and the variability of climate. As a result of these, the modelling and forecasting of precipitation amount is challenging. For this reason, this study compares forecasting performances of different methods on monthly precipitation series with covariates including the temperature, relative humidity, and cloudiness of Muğla region, Turkey. To accomplish this, the performance of multiple linear regression, the state space model (SSM) via Kalman Filter, a hybrid model integrating the logistic regression and SSM models, the seasonal autoregressive integrated moving average (SARIMA), exponential smoothing with state space model (ETS), exponential smoothing state space model with Box-Cox transformation-ARMA errors-trend and seasonal components (TBATS), feed-forward neural network (NNETAR) and Prophet models are all compared. This comparison has yet to be undertaken in the literature. The empirical findings overwhelmingly support the SSM when modelling and forecasting the monthly total precipitation amount of the Muğla region, encouraging the time-varying coefficients extensions of the precipitation model.
8
Yu, Chongchong, Chunjie Xu, Yuhong Li, Sanqiao Yao, Yichun Bai, Jizhen Li, Lei Wang, Weidong Wu, and Yongbin Wang. "Time Series Analysis and Forecasting of the Hand-Foot-Mouth Disease Morbidity in China Using An Advanced Exponential Smoothing State Space TBATS Model." Infection and Drug Resistance Volume 14 (July 2021): 2809–21. http://dx.doi.org/10.2147/idr.s304652.
Full text
9
Yang, Stephanie, Hsueh-Chih Chen, Chih-Hsien Wu, Meng-Ni Wu, and Cheng-Hong Yang. "Forecasting of the Prevalence of Dementia Using the LSTM Neural Network in Taiwan." Mathematics 9, no. 5 (February 27, 2021): 488. http://dx.doi.org/10.3390/math9050488.
Full textAbstract:
The World Health Organization has urged countries to prioritize dementia in their public health policies. Dementia poses a tremendous socioeconomic burden, and the accurate prediction of the annual increase in prevalence is essential for establishing strategies to cope with its effects. The present study established a model based on the architecture of the long short-term memory (LSTM) neural network for predicting the number of dementia cases in Taiwan, which considers the effects of age and sex on the prevalence of dementia. The LSTM network is a variant of recurrent neural networks (RNNs), which possesses a special gate structure and avoids the problems in RNNs of gradient explosion, gradient vanishing, and long-term memory failure. A number of patients diagnosed as having dementia from 1997 to 2017 was collected in annual units from a data set extracted from the Health Insurance Database of the Ministry of Health and Welfare in Taiwan. To further verify the validity of the proposed model, the LSTM network was compared with three types of models: statistical models (exponential smoothing (ETS), autoregressive integrated moving average model (ARIMA), trigonometric seasonality, Box–Cox transformation, autoregressive moving average errors, and trend seasonal components model (TBATS)), hybrid models (support vector regression (SVR), particle swarm optimization–based support vector regression (PSOSVR)), and deep learning model (artificial neural networks (ANN)). The mean absolute percentage error (MAPE), root-mean-square error (RMSE), mean absolute error (MAE), and R-squared (R2) were used to evaluate the model performances. The results indicated that the LSTM network has higher prediction accuracy than the three types of models for forecasting the prevalence of dementia in Taiwan.
10
Silva, Emmanuel, Hossein Hassani, Dag Madsen, and Liz Gee. "Googling Fashion: Forecasting Fashion Consumer Behaviour Using Google Trends." Social Sciences 8, no. 4 (April 4, 2019): 111. http://dx.doi.org/10.3390/socsci8040111.
Full textAbstract:
This paper aims to discuss the current state of Google Trends as a useful tool for fashion consumer analytics, show the importance of being able to forecast fashion consumer trends and then presents a univariate forecast evaluation of fashion consumer Google Trends to motivate more academic research in this subject area. Using Burberry—a British luxury fashion house—as an example, we compare several parametric and nonparametric forecasting techniques to determine the best univariate forecasting model for “Burberry” Google Trends. In addition, we also introduce singular spectrum analysis as a useful tool for denoising fashion consumer Google Trends and apply a recently developed hybrid neural network model to generate forecasts. Our initial results indicate that there is no single univariate model (out of ARIMA, exponential smoothing, TBATS, and neural network autoregression) that can provide the best forecast of fashion consumer Google Trends for Burberry across all horizons. In fact, we find neural network autoregression (NNAR) to be the worst contender. We then seek to improve the accuracy of NNAR forecasts for fashion consumer Google Trends via the introduction of singular spectrum analysis for noise reduction in fashion data. The hybrid neural network model (Denoised NNAR) succeeds in outperforming all competing models across all horizons, with a majority of statistically significant outcomes at providing the best forecast for Burberry’s highly seasonal fashion consumer Google Trends. In an era of big data, we show the usefulness of Google Trends, denoising and forecasting consumer behaviour for the fashion industry.
11
Al-Turaiki, Isra, Fahad Almutlaq, Hend Alrasheed, and Norah Alballa. "Empirical Evaluation of Alternative Time-Series Models for COVID-19 Forecasting in Saudi Arabia." International Journal of Environmental Research and Public Health 18, no. 16 (August 16, 2021): 8660. http://dx.doi.org/10.3390/ijerph18168660.
Full textAbstract:
COVID-19 is a disease-causing coronavirus strain that emerged in December 2019 that led to an ongoing global pandemic. The ability to anticipate the pandemic’s path is critical. This is important in order to determine how to combat and track its spread. COVID-19 data is an example of time-series data where several methods can be applied for forecasting. Although various time-series forecasting models are available, it is difficult to draw broad theoretical conclusions regarding their relative merits. This paper presents an empirical evaluation of several time-series models for forecasting COVID-19 cases, recoveries, and deaths in Saudi Arabia. In particular, seven forecasting models were trained using autoregressive integrated moving average, TBATS, exponential smoothing, cubic spline, simple exponential smoothing Holt, and HoltWinters. The models were built using publicly available daily data of COVID-19 during the period of 24 March 2020 to 5 April 2021 reported in Saudi Arabia. The experimental results indicate that the ARIMA model had a smaller prediction error in forecasting confirmed cases, which is consistent with results reported in the literature, while cubic spline showed better predictions for recoveries and deaths. As more data become available, a fluctuation in the forecasting-accuracy metrics was observed, possibly due to abrupt changes in the data.
12
Kim, Yunsun, and Sahm Kim. "Forecasting Charging Demand of Electric Vehicles Using Time-Series Models." Energies 14, no. 5 (March 9, 2021): 1487. http://dx.doi.org/10.3390/en14051487.
Full textAbstract:
This study compared the methods used to forecast increases in power consumption caused by the rising popularity of electric vehicles (EVs). An excellent model for each region was proposed using multiple scaled geographical datasets over two years. EV charging volumes are influenced by various factors, including the condition of a vehicle, the battery’s state-of-charge (SOC), and the distance to the destination. However, power suppliers cannot easily access this information due to privacy issues. Despite a lack of individual information, this study compared various modeling techniques, including trigonometric exponential smoothing state space (i.e., Trigonometric, Box–Cox, Auto-Regressive-Moving-Average (ARMA), Trend, and Seasonality (TBATS)), autoregressive integrated moving average (ARIMA), artificial neural networks (ANN), and long short-term memory (LSTM) modeling, based on past values and exogenous variables. The effect of exogenous variables was evaluated in macro- and micro-scale geographical areas, and the importance of historic data was verified. The basic statistics regarding the number of charging stations and the volume of charging in each region are expected to aid the formulation of a method that can be used by power suppliers.
13
Gecili, Emrah, Assem Ziady, and Rhonda D. Szczesniak. "Forecasting COVID-19 confirmed cases, deaths and recoveries: Revisiting established time series modeling through novel applications for the USA and Italy." PLOS ONE 16, no. 1 (January 7, 2021): e0244173. http://dx.doi.org/10.1371/journal.pone.0244173.
Full textAbstract:
The novel coronavirus (COVID-19) is an emergent disease that initially had no historical data to guide scientists on predicting/ forecasting its global or national impact over time. The ability to predict the progress of this pandemic has been crucial for decision making aimed at fighting this pandemic and controlling its spread. In this work we considered four different statistical/time series models that are readily available from the ‘forecast’ package in R. We performed novel applications with these models, forecasting the number of infected cases (confirmed cases and similarly the number of deaths and recovery) along with the corresponding 90% prediction interval to estimate uncertainty around pointwise forecasts. Since the future may not repeat the past for this pandemic, no prediction model is certain. However, any prediction tool with acceptable prediction performance (or prediction error) could still be very useful for public-health planning to handle spread of the pandemic, and could policy decision-making and facilitate transition to normality. These four models were applied to publicly available data of the COVID-19 pandemic for both the USA and Italy. We observed that all models reasonably predicted the future numbers of confirmed cases, deaths, and recoveries of COVID-19. However, for the majority of the analyses, the time series model with autoregressive integrated moving average (ARIMA) and cubic smoothing spline models both had smaller prediction errors and narrower prediction intervals, compared to the Holt and Trigonometric Exponential smoothing state space model with Box-Cox transformation (TBATS) models. Therefore, the former two models were preferable to the latter models. Given similarities in performance of the models in the USA and Italy, the corresponding prediction tools can be applied to other countries grappling with the COVID-19 pandemic, and to any pandemics that can occur in future.
14
Abotaleb, M. S. A., and T. A. Makarovskikh. "Development of Algorithms for Choosing the Best Time Series Models and Neural Networks to Predict COVID-19 Cases." Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 21, no. 3 (August 2021): 26–35. http://dx.doi.org/10.14529/ctcr210303.
Full textAbstract:
Time series analysis became one of the most investigated fields of knowledge during spreading of the COVID-19 around the world. The problem of modeling and forecasting infection cases of COVID-19, deaths, recoveries and other parameters is still urgent. Purpose of the study. Our article is devoted to investigation of classical statistical and neural network models that can be used for forecasting COVID-19 cases. Materials and methods. We discuss neural network model NNAR, compare it with linear and nonlinear models (BATS, TBATS, Holt's linear trend, ARIMA, classical epidemiological SIR model). In our article we discuss the Epemedic.Network algorithm using the R programming language. This algorithm takes the time series as input data and chooses the best model from SIR, statistical models and neural network model. The model selection criterion is the MAPE error. We consider the implementation of our algorithm for analysis of time series for COVID -19 spreading in Chelyabinsk region, and predicting the possible peak of the third wave using three possible scenarios. We mention that the considered algorithm can work for any time se-ries, not only for epidemiological ones. Results. The developed algorithm helped to identify the pat-tern of COVID -19 infection for Chelyabinsk region using the models realized as parts of the consi-dered algorithm. It should be noted that the considered models make it possible to form short-term forecasts with sufficient accuracy. We show that the increase in the number of neurons led to in-creasing accuracy, as there are other cases where the error is reduced in case of reducing the number of neurons, and this depends on COVID -19 infection spreading pattern. Conclusion. Hence, to get a very accurate forecast, we recommend re-running the algorithm weekly. For medium-range fore-casting, only the NNAR model can be used from among those considered but it also allows to get good forecasts only with horizon 1–2 weeks.
15
Ye, Guo-hua, Mirxat Alim, Peng Guan, De-sheng Huang, Bao-sen Zhou, and Wei Wu. "Improving the precision of modeling the incidence of hemorrhagic fever with renal syndrome in mainland China with an ensemble machine learning approach." PLOS ONE 16, no. 3 (March 16, 2021): e0248597. http://dx.doi.org/10.1371/journal.pone.0248597.
Full textAbstract:
Objective Hemorrhagic fever with renal syndrome (HFRS), one of the main public health concerns in mainland China, is a group of clinically similar diseases caused by hantaviruses. Statistical approaches have always been leveraged to forecast the future incidence rates of certain infectious diseases to effectively control their prevalence and outbreak potential. Compared to the use of one base model, model stacking can often produce better forecasting results. In this study, we fitted the monthly reported cases of HFRS in mainland China with a model stacking approach and compared its forecasting performance with those of five base models. Method We fitted the monthly reported cases of HFRS ranging from January 2004 to June 2019 in mainland China with an autoregressive integrated moving average (ARIMA) model; the Holt-Winter (HW) method, seasonal decomposition of the time series by LOESS (STL); a neural network autoregressive (NNAR) model; and an exponential smoothing state space model with a Box-Cox transformation; ARMA errors; and trend and seasonal components (TBATS), and we combined the forecasting results with the inverse rank approach. The forecasting performance was estimated based on several accuracy criteria for model prediction, including the mean absolute percentage error (MAPE), root-mean-squared error (RMSE) and mean absolute error (MAE). Result There was a slight downward trend and obvious seasonal periodicity inherent in the time series data for HFRS in mainland China. The model stacking method was selected as the best approach with the best performance in terms of both fitting (RMSE 128.19, MAE 85.63, MAPE 8.18) and prediction (RMSE 151.86, MAE 118.28, MAPE 13.16). Conclusion The results showed that model stacking by using the optimal mean forecasting weight of the five abovementioned models achieved the best performance in terms of predicting HFRS one year into the future. This study has corroborated the conclusion that model stacking is an easy way to enhance prediction accuracy when modeling HFRS.
16
Shankar, Sonali, P. Vigneswara Ilavarasan, Sushil Punia, and Surya Prakash Singh. "Forecasting container throughput with long short-term memory networks." Industrial Management & Data Systems 120, no. 3 (December 4, 2019): 425–41. http://dx.doi.org/10.1108/imds-07-2019-0370.
Full textAbstract:
Purpose Better forecasting always leads to better management and planning of the operations. The container throughput data are complex and often have multiple seasonality. This makes it difficult to forecast accurately. The purpose of this paper is to forecast container throughput using deep learning methods and benchmark its performance over other traditional time-series methods. Design/methodology/approach In this study, long short-term memory (LSTM) networks are implemented to forecast container throughput. The container throughput data of the Port of Singapore are used for empirical analysis. The forecasting performance of the LSTM model is compared with seven different time-series forecasting methods, namely, autoregressive integrated moving average (ARIMA), simple exponential smoothing, Holt–Winter’s, error-trend-seasonality, trigonometric regressors (TBATS), neural network (NN) and ARIMA + NN. The relative error matrix is used to analyze the performance of the different models with respect to bias, accuracy and uncertainty. Findings The results showed that LSTM outperformed all other benchmark methods. From a statistical perspective, the Diebold–Mariano test is also conducted to further substantiate better forecasting performance of LSTM over other counterpart methods. Originality/value The proposed study is a contribution to the literature on the container throughput forecasting and adds value to the supply chain theory of forecasting. Second, this study explained the architecture of the deep-learning-based LSTM method and discussed in detail the steps to implement it.
17
Choudhury, Avishek, and Estefania Urena. "Forecasting hourly emergency department arrival using time series analysis." British Journal of Healthcare Management 26, no. 1 (January 2, 2020): 34–43. http://dx.doi.org/10.12968/bjhc.2019.0067.
Full textAbstract:
Background/aims The stochastic arrival of patients at hospital emergency departments complicates their management. More than 50% of a hospital's emergency department tends to operate beyond its normal capacity and eventually fails to deliver high-quality care. To address this concern, much research has been carried out using yearly, monthly and weekly time-series forecasting. This article discusses the use of hourly time-series forecasting to help improve emergency department management by predicting the arrival of future patients. Methods Emergency department admission data from January 2014 to August 2017 was retrieved from a hospital in Iowa. The auto-regressive integrated moving average (ARIMA), Holt–Winters, TBATS, and neural network methods were implemented and compared as forecasters of hourly patient arrivals. Results The auto-regressive integrated moving average (3,0,0) (2,1,0) was selected as the best fit model, with minimum Akaike information criterion and Schwartz Bayesian criterion. The model was stationary and qualified under the Box–Ljung correlation test and the Jarque–Bera test for normality. The mean error and root mean square error were selected as performance measures. A mean error of 1.001 and a root mean square error of 1.55 were obtained. Conclusions The auto-regressive integrated moving average can be used to provide hourly forecasts for emergency department arrivals and can be implemented as a decision support system to aid staff when scheduling and adjusting emergency department arrivals.
18
Kaczmarek, A., R. Cegielska-Radziejewska, T. Szablewski, and J. Zabielski. "TBARS and microbial growth predicative models of pork sausage stored at different temperatures." Czech Journal of Food Sciences 33, No. 4 (June 3, 2016): 320–25. http://dx.doi.org/10.17221/591/2014-cjfs.
Full text
19
Olusina, Joseph O., and James B. Olaleye. "Transaction-Based Intelligent Transportation System (TBITS) Using Stochastic User Utility Model." Transactions in GIS 17, no. 1 (December 26, 2012): 109–23. http://dx.doi.org/10.1111/j.1467-9671.2012.01358.x.
Full text
20
Wenjiao, Fan, Zhang Yongkui, Chen Yunchuan, Sun Junxiu, and Yi Yuwen. "TBARS predictive models of pork sausages stored at different temperatures." Meat Science 96, no. 1 (January 2014): 1–4. http://dx.doi.org/10.1016/j.meatsci.2013.06.025.
Full text
21
Vasanthkumar, M., RP Parameswari, V. Vijaya Kumar, MK Sangeetha, V. Gayathri, H. Balaji Raghavendran, D. Chamundeeswari, and Hannah R. Vasanthi. "Anti-ulcer role of herbomineral siddha drug — Thamira parpam on experimentally induced gastric mucosal damage in rats." Human & Experimental Toxicology 29, no. 3 (January 5, 2010): 161–73. http://dx.doi.org/10.1177/0960327109357217.
Full textAbstract:
Anti-ulcerogenic activity of Thamira parpam (TP) was investigated in two ulcer models (aspirin + pylorus ligation and HCl-ethanol). Aspirin—pylorus ligation (Asp 200 mg/kg-7 days + PL-4 hours) and HCl-ethanol (150 mM HCl in 70% ethanol) induction in rat resulted in elevation of thiobarbituric acid reactive substances (TBARS) and depletion of antioxidants (superoxide dismutase [SOD], glutathione [GSH], glutathione peroxidase [GPx]) with high ulcer scores (p < .01). In Asp + PL model, TP treatment showed mild inhibition on ulcer scores, changes in pH, gastric volume, total and free acidity, and elevation of TBARS and depletion of antioxidants. Compared to the ulcer-untreated rats (HCl-ethanol), the herbomineral drug TP treatment (0.5, 1, 2 mg/kg, per oral [p.o.]) attenuated the elevation of TBARS, decrease of antioxidants and nitrite (p < .05). Histopathological examinations were correlated with the antioxidant profile. In conclusion, the prophylactic cytoprotective nature of the herbomineral drug in experimentally induced ulcers could be mediated by its free radical quenching property.
22
Balogh, N., F. Krausz, and P. Lévai. "Effect of deferoxamine and L-arginine treatment on lipid peroxidation in an intestinal ischaemia-reperfusion model in rats." Acta Veterinaria Hungarica 50, no. 3 (July 1, 2002): 343–56. http://dx.doi.org/10.1556/avet.50.2002.3.10.
Full textAbstract:
This study investigated lipid peroxidation (LPO) changes during intestinal ischaemia-reperfusion with and without deferoxamine or L-arginine treatment. White Wistar rats were allotted into four groups as follows: sham-operated (Group SOP), ischaemia-reperfusion only (Group I/R), I/R with deferoxamine (Group D) or L-arginine (Group A) treatment. Concentration of thiobarbituric acid reactive substances (TBARS), overall concentration of malondialdehyde and 4-hydroxy-alkenals (LPO586), activities of superoxide dismutase (SOD) and glutathione peroxidase (GPX) of the jejunal homogenates were determined. The same analytes except LPO586 were assayed in RBC haemolysates. Measurements of ferric reducing ability (FRAP), total antioxidant status (TAS) and nitric oxide (NO) concentrations of plasma samples were also completed. The only significant change observed in the SOP group was an increased SOD activity after the ischaemic period. In the I/R group significant increase of intestinal LPO586 concentration was observed during hypoxia that was followed by similar changes in intestinal and RBC TBARS and plasma FRAP values upon reperfusion. In Group D the intestinal TBARS and LPO586 concentrations were significantly lower while FRAP and NO concentrations were significantly higher compared to the I/R group. At the same time RBC TBARS concentration and GPX activity significantly decreased within Group D. In Group A the intestinal LPO586 concentration was significantly lower than in the I/R group whilst RBC TBARS concentration showed a similar pattern. Plasma FRAP and NO concentration showed similar changes to those seen in Group D. It is concluded that I/R increased the LPO in the intestinal tissue and altered some parameters of plasma and RBCs, too. Deferoxamine treatment prevented these effects, while the usefulness of L-arginine remained doubtful.
23
Luo, Hong-Min, Ming-Hua Du, Zhi-Long Lin, Quan Hu, Lin Zhang, Li Ma, Huan Wang, et al. "Ulinastatin Suppresses Burn-Induced Lipid Peroxidation and Reduces Fluid Requirements in a Swine Model." Oxidative Medicine and Cellular Longevity 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/904370.
Full textAbstract:
Objective. Lipid peroxidation plays a critical role in burn-induced plasma leakage, and ulinastatin has been reported to reduce lipid peroxidation in various models. This study aims to examine whether ulinastatin reduces fluid requirements through inhibition of lipid peroxidation in a swine burn model.Methods. Forty miniature swine were subjected to 40% TBSA burns and were randomly allocated to the following four groups: immediate lactated Ringer's resuscitation (ILR), immediate LR containing ulinastatin (ILR/ULI), delayed LR resuscitation (DLR), and delayed LR containing ulinastatin (DLR/ULI). Hemodynamic variables, net fluid accumulation, and plasma thiobarbituric acid reactive substances (TBARS) concentrations were measured. Heart, liver, lung, skeletal muscle, and ileum were harvested at 48 hours after burn for evaluation of TBARS concentrations, activities of antioxidant enzymes, and tissue water content.Results. Ulinastatin significantly reduced pulmonary vascular permeability index (PVPI) and extravascular lung water index (ELWI), net fluid accumulation, and water content of heart, lung, and ileum in both immediate or delayed resuscitation groups. Furthermore, ulinastatin infusion significantly reduced plasma and tissue concentrations of TBARS in both immediate or delayed resuscitation groups.Conclusions. These results indicate that ulinastatin can reduce fluid requirements through inhibition of lipid peroxidation.
24
Palladini, Giuseppina, Laura G. Di Pasqua, Clarissa Berardo, Veronica Siciliano, Plinio Richelmi, Stefano Perlini, Andrea Ferrigno, and Mariapia Vairetti. "Animal Models of Steatosis (NAFLD) and Steatohepatitis (NASH) Exhibit Hepatic Lobe-Specific Gelatinases Activity and Oxidative Stress." Canadian Journal of Gastroenterology and Hepatology 2019 (February 3, 2019): 1–9. http://dx.doi.org/10.1155/2019/5413461.
Full textAbstract:
Animal models of obstructive cholestasis and ischemia/reperfusion damage have revealed the functional heterogeneity of liver lobes. This study evaluates this heterogeneity in nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH) rat models. Twelve-week-old Obese and Lean male Zucker rats were used for NAFLD. Eight-week-old male Wistar rats fed with 8-week methionine-choline-deficient (MCD) diet and relative control diet were used for NASH. Gelatinase (MMP-2; MMP-9) activity and protein levels, tissue inhibitors of metalloproteinase (TIMPs), reactive oxygen species (ROS), and thiobarbituric acid-reactive substances (TBARS) were evaluated in the left (LL), median (ML), and right liver (RL) lobes. Serum hepatic enzymes and TNF-alpha were assessed. An increase in gelatinase activity in the NASH model occurred in RL compared with ML. TIMP-1 and TIMP-2 displayed the same trend in RL as ML and LL. Control diet RL showed higher MMP-9 activity compared with ML and LL. No significant lobar differences in MMP-2 activity were detected in the NAFLD model. MMP-9 activity was not detectable in Zucker rats. TIMP-1 was lower in LL when compared with ML while no lobar differences were detectable for TIMP-2 in either Obese or Lean Zucker rats. Control diet rats exhibited higher ROS formation in LL versus RL. Significant increases in TBARS levels were observed in LL versus ML and RL in control and MCD rats. The same trend for ROS and TBARS was found in Obese and Lean Zucker rats. An increased serum TNF-alpha occurred in MCD rats. A lobar difference was detected for MMPs, TIMPs, ROS, and TBARS in both MCD and Zucker rats. Higher MMP activation in RL and higher oxidative stress in the LL, compared with the other lobes studied, supports growing evidence for functional heterogeneity among the liver lobes occurring certainly in both NAFLD and NASH rats.
25
Sakr, Hussein F., Amr M. Abbas, and Ayman Z. Elsamanoudy. "Effect of valsartan on cardiac senescence and apoptosis in a rat model of cardiotoxicity." Canadian Journal of Physiology and Pharmacology 94, no. 6 (June 2016): 588–98. http://dx.doi.org/10.1139/cjpp-2015-0461.
Full textAbstract:
The clinical application of doxorubicin is limited by its cardiotoxicity. The present study investigated the effect of valsartan on doxorubicin-induced cardiotoxicity in rats. Rats were divided into 6 groups: control, control + valsartan (10 mg/kg, for 14 days, orally), doxorubicin-treated (2.5 mg/kg, 3 times/week for 2 weeks, intraperitoneally), valsartan then doxorubicin, valsartan + doxorubicin, and doxorubicin then valsartan. ECG, isolated heart, lipid peroxidation (thiobaribituric acid reactive substances (TBARS)), total antioxidant capacity (TAC), and Bax, Bcl-2, and senescence marker protein 30 (SMP30) gene expression were measured in cardiac tissue. Blood samples were collected to measure lactate dehydrogenase (LDH) and creatine kinase MB (CK-MB). Doxorubicin significantly increased LDH, CK-MB, TBARS, heart rate (HR), Bax gene expression, and −dP/dtmax and decreased TAC, Bcl-2 and SMP30 gene expression, left ventricular developed pressure (LVDP), and +dP/dtmax. Also, doxorubicin lengthened ST, QT, and QTc intervals. Concurrent or post- but not pre-treatment of doxorubicin-treated rats with valsartan reduced LDH, CK-MB, TBARS, HR, Bax gene expression, −dP/dtmax, and ST, QT, and QTc intervals and increased TAC, Bcl-2 and SMP30 gene expression, LVDP, and +dP/dtmax. Therefore, we conclude that concurrent or post- but not pre-treatment of doxorubicin-induced rats with valsartan attenuated doxorubicin-induced cardiotoxicity through inhibiting oxidative stress, apoptosis, and senescence.
26
Miguel, M. Graça, Ludmila A. Costa, A. Cristina Figueiredo, José G. Barroso, and Luís G. Pedro. "Assessment of the Antioxidant Ability of Thymus albicans, T. mastichina, T. camphoratus and T. carnosus Essential Oils by TBARS and Micellar Model systems." Natural Product Communications 2, no. 4 (April 2007): 1934578X0700200. http://dx.doi.org/10.1177/1934578x0700200410.
Full textAbstract:
The essential oils isolated by hydrodistillation from different populations of Thymus albicans, T. mastichina, T. carnosus and T. camphoratus, collected during the vegetative phase, were analysed by GC and GC-MS. The same oils were used in the antioxidant activity evaluation using the TBARS assay and the micellar model systems. T. albicans oils and two of the oils from T. mastichina populations were 1,8-cineole-rich. The third T. mastichina oil was linalool-rich. trans-Sabinene hydrate, borneol and linalool in similar amounts, and 1,8-cineole were the main components of the oils from each of the three populations of T. camphoratus. T. carnosus oils were mainly composed of borneol. All essential oils revealed some degree of antioxidant activity either in the presence or absence of ABAP in the TBARS method. The micellar model system showed higher antioxidant indices than those obtained by the TBARS method.
27
Tsai, Nai-Wen, Ya-Ting Chang, Chi-Ren Huang, Yu-Jun Lin, Wei-Che Lin, Ben-Chung Cheng, Chih-Min Su, et al. "Association between Oxidative Stress and Outcome in Different Subtypes of Acute Ischemic Stroke." BioMed Research International 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/256879.
Full textAbstract:
Objectives. This study investigated serum thiobarbituric acid-reactive substances (TBARS) and free thiol levels in different subtypes of acute ischemic stroke (AIS) and evaluated their association with clinical outcomes.Methods. This prospective study evaluated 100 AIS patients, including 75 with small-vessel and 25 with large-vessel diseases. Serum oxidative stress (TBARS) and antioxidant (thiol) were determined within 48 hours and days 7 and 30 after stroke. For comparison, 80 age- and sex-matched participants were evaluated as controls.Results. Serum TBARS was significantly higher and free thiol was lower in stroke patients than in the controls on days 1 and 7 after AIS. The level of free thiol was significantly lower in the large-vessel disease than in the small-vessel disease on day 7 after stroke. Using the stepwise logistic regression model for potential variables, only stroke subtype, NIHSS score, and serum TBARS level were independently associated with three-month outcome. Higher TBARS and lower thiol levels in the acute phase of stroke were associated with poor outcome.Conclusions. Patients with large-vessel disease have higher oxidative stress but lower antioxidant defense compared to those with small-vessel disease after AIS. Serum TBARS level at the acute phase of stroke is a potential predictor for three-month outcome.
28
Celikbilek, Asuman, Ayse Yesim Gocmen, Nermin Tanik, Nazmi Yaras, Piraye Yargicoglu, and Saadet Gumuslu. "Serum lipid peroxidation markers are correlated with those in brain samples in different stress models." Acta Neuropsychiatrica 26, no. 1 (July 11, 2013): 51–57. http://dx.doi.org/10.1017/neu.2013.32.
Full textAbstract:
ObjectiveStress can stimulate increased production of oxygen radicals. We investigated the correlations between serum levels of lipid peroxidation markers and those in brain samples in different stress models.MethodsAnimals (n= 96) were divided equally into eight groups: a control group and groups treated with vitamin E (Vit E); exposed to immobilisation stress; exposed to immobilisation stress and treated with Vit E; exposed to cold stress; exposed to cold stress and treated with Vit E; exposed to both immobilisation and cold stress; and a final group exposed to both immobilisation and cold stress and treated with Vit E. Thiobarbituric acid-reactive substance (TBARS) in brain samples and levels of TBARS, corticosterone, conjugated dienes (CD), lipids, and paraoxonase-1 (PON1) activity in serum were analysed.ResultsSerum corticosterone (p< 0.001), CD (p< 0.05), lipid (p< 0.05) levels, and brain TBARS (p< 0.05) levels were significantly higher in all stress groups than in controls, and the elevated levels were reversed in the Vit E-treated stress groups (p< 0.05). Serum PON1 activity was not different among the groups (p> 0.05). Serum TBARS levels increased significantly in all stress groups (p< 0.05), but this elevation was only reversed in the group exposed to both immobilisation and cold stress and treated with Vit E (p< 0.001).ConclusionThese results suggest that serum levels of lipid peroxidation markers can be determined readily and may be useful as indicators to evaluate the effects of oxidative stress in the brain.
29
Oliveira, Renata F., Maria Mota, Jorge Soares, Zirlene Santos, Bianca Rosa, Caroline Santana, Dalton Pessoa-Filho, and Cassiano M. Neiva. "LIFE HABITS AND LIPID PEROXIDATION OF WOMEN OVER 40 YEARS OLD." Innovation in Aging 3, Supplement_1 (November 2019): S148. http://dx.doi.org/10.1093/geroni/igz038.533.
Full textAbstract:
Abstract Oxidative stress is involved in degenerative processes, aging, and diseases. Lifestyle can be change oxidative stress. One of reactive oxygen species targets is polyunsaturated fatty acid, an important cellular membrane component. The aim of this study is to analyse the contribute of lifestyle in lipid peroxidation in over fourty years old women. Were included 60 women whith age ranged between 41 and 82 years old (53.3 ± 9.1 years). Lifestyle were explored doing a food frequency questionnaire, Perceptive Stress Scale (PSS) and International Physical Activity Questionnaire (IPAQ). The functional capacity was determinate by 6-min walking test (cardiorespiratory capacity) and Squat-jump (leg strength and power). Parameters of oxidative stress were determinate from plasma during fasting, lipid peroxidation was evaluated by TBARs, and antioxidant capacity was evaluated by catalase activity and ABTS. Spearman correlation and Multiple Linear Regression model, through Stepwise method, considering TBARs as dependent variable, and age, weight, body mass index, waist circumference, stress perception, physical activity level, total antioxidant capacity, catalase activity, cardiorespiratory capacity, leg strength and power, daily caloric intake, daily fruit, vegetables, coffee/tea, vitamin E and alcohol intake, as independent variable, was performed. Negative correlations were obtained between TBARs and cardiorespiratory capacity (r= -0.35; p=0.026) and between TBARS and ABTS (r= -0.33; p=0.038). Total antioxidant capacity was the model’s first variable (F= 5.50; p = 0.013), explaining 15.3% of TBARS, then cardiorespiratory capacity (F= 5.50; p = 0.047), explaining 10.5% of TBARs The results revealed total antioxidant capacity and cardiorespiratory capacity as predictors to lipid peroxidation damage.
30
Kaczmarek, Anna, and Małgorzata Muzolf-Panek. "Predictive Modeling of Changes in TBARS in the Intramuscular Lipid Fraction of Raw Ground Beef Enriched with Plant Extracts." Antioxidants 10, no. 5 (May 7, 2021): 736. http://dx.doi.org/10.3390/antiox10050736.
Full textAbstract:
The aim of the study was to develop and compare the predictive models of lipid oxidation in minced raw beef meat enriched with selected plant extracts (allspice, basil, bay leaf, black seed, cardamom, caraway, cloves, garlic, nutmeg, onion, oregano, rosemary and thyme) expressed as value changes of TBARS (thiobarbituric acid reactive substances) in various time/temperature conditions. Meat samples were stored at the temperatures of 4, 8, 12, 16 and 20 °C. The value changes of TBARS in samples stored at 12 °C were used as the external validation dataset. Lipid oxidation increased significantly with storage time and temperature. The rate of this increase varied depending on the addition of the plant extract and was the most pronounced in the control sample. The dependence of lipid oxidation on temperature was adequately modeled by the Arrhenius and log-logistic equation with high average R2 coefficients (≥0.98) calculated for all extracts. Kinetic models and artificial neural networks (ANNs) were used to build the predictive models. The obtained result demonstrates that both kinetic Arrhenius (R2 = 0.972) and log-logistic (R2 = 0.938) models as well as ANN (R2 = 0.935) models can predict changes in TBARS in raw ground beef meat during storage.
31
Nakhai, Leila Ashtaral, Azadeh Mohammadirad, Narges Yasa, Bagher Minaie, Shekoufeh Nikfar, Ghazal Ghazanfari, Mohammad Jafar Zamani, et al. "Benefits ofZataria multiflora Boissin Experimental Model of Mouse Inflammatory Bowel Disease." Evidence-Based Complementary and Alternative Medicine 4, no. 1 (2007): 43–50. http://dx.doi.org/10.1093/ecam/nel051.
Full textAbstract:
Inflammatory bowel disease (IBD) is a chronic condition of the intestine with unknown etiology involving multiple immune, genetic and environmental factors. We were interested to examine the effect of total extract fromZataria multifloraBoiss, a folk medicinal plant on prevention and treatment of experimental IBD.Z. multiflorawas administered (400, 600, 900 p.p.m.) through drinking water to IBD mice induced by intrarectal administration of acetic acid. Prednisolone was used as the standard drug for comparison. Biochemical, macroscopic and microscopic examinations of colon were performed. Biochemical evaluation of inflamed colon was done using assay of myeloperoxidase (MPO) activity and thiobarbituric acid reactive substances (TBARS) concentration as indicators of free radical activity and cell lipid peroxidation. The activity of MPO and lipid peroxidation products (TBARS) increased in acetic acid-treated groups while recovered by pretreatment of animals withZ. multiflora(400–900 p.p.m.) and prednisolone.Z. multiflora(600 and 900 p.p.m.) and prednisolone-treated groups showed significantly lower score values of macroscopic and microscopic characters when compared with the acetic acid-treated group. The beneficial effect ofZ. multiflora(900 p.p.m.) was comparable with that of prednisolone. The antioxidant, antimicrobial and anti-inflammatory potentials ofZ. multifloramight be the mechanisms by which this herbal extract protects animals against experimentally induced IBD. Proper clinical investigation should be carried out to confirm the activity in human.
32
Valcheva-Kuzmanova, Stefka. "Comparative Study Of The Protective Effect Of Aronia Melanocarpa Fruit Juice And Quercetin In A Model Of Paracetamol-Induced Hepatotoxicity In Rats." Journal of Biomedical and Clinical Research 8, no. 2 (December 1, 2015): 118–23. http://dx.doi.org/10.1515/jbcr-2015-0161.
Full textAbstract:
Summary Aronia melanocarpa fruit juice (AMFJ) is very rich in polyphenolic compounds. Quercetin is a naturally occurring flavonoid, one of AMFJ polyphenols. The aim of the present study was to investigate the effect of AMFJ in comparison with quercetin in a model of paracetamol-induced hepatotoxicity in rats. AMFJ at doses of 2.5 and 5.0 ml/kg and quercetin at doses of 50 and 100 mg/kg were administered daily orally from day 1 to day 7 to different animal groups. Paracetamol was applied intraperitoneally (1.0 g/kg) on day 5. Blood and liver ware taken for biochemical investigations on day 7. Liver toxicity was estimated by the serum activities of the enzymes aspartate aminotransferase (AST) and alanine aminotransferase (ALT). Oxidative stress was estimated by the levels of thiobarbituric acid reactive substances (TBARS) in liver homogenate and serum. Paracetamol caused a significant elevation of serum AST and ALT, and induced lipid peroxidation as measured by the significant increase of TBARS in serum and liver. In animals pretreated either with AMFJ or quercetin, liver enzyme activities did not differ significantly from the control levels. Both AMFJ and quercetin prevented the elevation of TBARS in the liver at the two applied doses and in the serum only at the higher of the tested doses. In the present model of paracetamol-induced hepatotoxicity, the protective effect of AMFJ was comparable to that of quercetin.
33
FERRARI, Renata Salatti, Mauricio TIEPPO, Darlan Pase da ROSA, Luiz Alberto FORGIARINI JR, Alexandre Simoes DIAS, and Norma Possa MARRONI. "LUNG AND LIVER CHANGES DUE TO THE INDUCTION OF CIRRHOSIS IN TWO EXPERIMENTAL MODELS." Arquivos de Gastroenterologia 50, no. 3 (September 2013): 208–13. http://dx.doi.org/10.1590/s0004-28032013000200037.
Full textAbstract:
Context To evaluate lung and liver changes in two experimental models using intraperitoneal carbon tetrachloride (CCl4) and bile duct ligation (BDL). Methods Twenty-four male Wistar rats were divided into a control group (CO) and an experimental group (EX). We evaluated the liver transaminases (AST, ALT, AP), arterial blood gases (PaO2, PCO2 and SpO2) and lipid peroxidation by TBARS (substances that react to thiobarbituric acid) and chemiluminescence. We also evaluated the antioxidant enzyme superoxide dismutase (SOD) and histology of lung tissue and liver. Results There were significant differences in AST, ALT, ALP and PaO2 between CO group and EX group (P<0.05). The levels of TBARS, chemiluminescence and activity of enzyme superoxide dismutase were increased to different degrees in the CCl4 groups: CO and in the BDL -EX (P<0.05, respectively). In the lung histology, an increase in the wall thickness of the pulmonary artery and a diameter reduction in the CCl4 animal model were observed: comparing CO group with EX group, we observed a reduction in thickness and an increase in the diameter of the artery wall lung. Conclusion Both experimental models have caused liver damage and alterations in the artery wall that are associated with major changes in pulmonary gas exchange.
34
Saïdi, SA, S. Abdelkafi, S. Jbahi, J. van Pelt, and A. El-Feki. "Temporal changes in hepatic antioxidant enzyme activities after ischemia and reperfusion in a rat liver ischemia model." Human & Experimental Toxicology 34, no. 3 (June 16, 2014): 249–59. http://dx.doi.org/10.1177/0960327114531991.
Full textAbstract:
This study investigated the hypothesis that administration of tilapia fish oil diet would attenuate warm liver ischemia/reperfusion injury (IRI) and whether fish oil modulates prooxidant/antioxidant status. Male Wistar rats were subjected to 30 min of approximately 70% hepatic ischemia followed by 1, 12, and 24 h reperfusion. Rats were randomly divided into three groups: sham-operated group (SO), control–warm hepatic ischemia (WI) group, and Oil–WI group given tilapia oil for 3 weeks followed by liver IRI. Aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels were measured in the plasma. Levels of thiobarbituric acid reactive substances (TBARS) and antioxidant enzymes as superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPx) activities were measured in liver fractions. In the sham group, there was no enzymatic or histological change. I/R caused significant increase in serum AST, ALT, and tissue TBARS levels. As compared to the control group, animals treated with tilapia oil experienced a significant decrease ( p < 0.05) in AST and ALT levels in reperfusion periods. Tissue TBARS levels in Oil–WI group were significantly ( p < 0.05) reduced as compared to control group at 60 min after reperfusion. After ischemia, 1, 12, and 24 h of reperfusion, CAT, SOD, and GPx values were the lowest in the Oil–WI group and highest in the control group and were statistically significant ( p < 0.05). Histological analysis also revealed that fish oil provided some protection compared with the control group. Tilapia oil exerts a protective effect during the early phase of reperfusion, and it modulates prooxidant/antioxidant status of rat liver subjected to warm IRI.
35
Vannucchi, Araujo, Bernardes, and Jordão-Jr. "Effect of Different Vitamin E Levels on Lipid Peroxidation in Streptozotocin-Diabetic Rats." International Journal for Vitamin and Nutrition Research 69, no. 4 (July 1, 1999): 250–54. http://dx.doi.org/10.1024/0300-9831.69.4.250.
Full textAbstract:
Administration of streptozotocin is used to induce diabetes in experimental models, causing a selective destruction of pancreatic beta islet cells associated with generation of free radicals. Supplementation with antioxidant vitamins such as vitamin E is a protective factor against free radicals. The objective of this study was to determine the effect of administration of a diet supplemented with, or deficient in vitamin E to streptozotocin diabetic rats, controlled or not with insulin, on plasma glucose, hepatic vitamin E and hepatic thiobarbituric acid reactive substance (TBARS) levels before streptozotocin and 24 hours and one and two weeks after drug administration. Deficiency of vitamin E alone increased TBARS levels, and streptozotocin elevated TBARS two times in deficient groups, regardless of insulin control. In rats supplemented with vitamin E, a reduction of plasma glucose and liver vitamin E was observed two weeks after streptozotocin administration (p < 0.05). In conclusion, vitamin E supplementation probably protected against lipoperoxidation and contributed to the absence of elevation of plasma glucose levels, and vitamin E deficiency produced an increase in hepatic TBARS levels in streptozotocin diabetic rats.
36
Bais, Souravh, N. S. Gill, and Nitan Kumar. "Neuroprotective Effect of Juniperus communis on Chlorpromazine Induced Parkinson Disease in Animal Model." Chinese Journal of Biology 2015 (March 15, 2015): 1–7. http://dx.doi.org/10.1155/2015/542542.
Full textAbstract:
We evaluated anti-Parkinson’s activity of methanolic extract of Juniperus communis (MEJC) leaves in chlorpromazine (CPZ) induced experimental animal model. In this study effects of Juniperus communis (100 and 200 mg/kg, i.p.) were studied using various behavior parameters like catalepsy (bar test), muscle rigidity (rotarod test), and locomotor activity (actophotometer) and its effect on neurochemical parameters (TBARS, GSH, nitrite, and total protein) in rats. The experiment was designed, by giving chlorpromazine (3 mg/kg, i.p.) for 21 days to induce Parkinson’s disease-like symptoms. Chlorpromazine significantly induced motor dysfunctions (catalepsy, muscle rigidity, and hypolocomotion) in a period of 21 days. The MEJC significantly (P<0.001) reduced catalepsy and muscle rigidity and significantly (P<0.001) increased locomotor activity in rats. The maximum reduction was observed on the 21st day at a dose of 200 mg/kg (i.p.). The MEJC extract also showed an increase in the level of reduced gutathione (GSH) (P<0.001) and total protein (P<0.001) and decreased the elevated levels of TBARS (P<0.001) and nitrite (P<0.001) preferably at a higher dose (200 mg/kg) as compared to chlorpromazine group. Thus the present study showed the neuroprotective effect of MEJC against CPZ induced Parkinson’s disease-like symptoms or anti-Parkinson’s activity.
37
Palladini, Giuseppina, Laura Di Pasqua, Clarissa Berardo, Veronica Siciliano, Plinio Richelmi, Barbara Mannucci, Anna Croce, et al. "Fatty Acid Desaturase Involvement in Non-Alcoholic Fatty Liver Disease Rat Models: Oxidative Stress Versus Metalloproteinases." Nutrients 11, no. 4 (April 8, 2019): 799. http://dx.doi.org/10.3390/nu11040799.
Full textAbstract:
We investigated changes in fatty acid desaturases, D5D, D6D, D9-16D and D9-18D, and their relationship with oxidative stress, matrix metalloproteinases (MMPs) and serum TNF-alpha in two rat models of non-alcoholic fatty liver disease NAFLD. Eight-week-old male Wistar rats fed for 3 weeks with methionine-choline–deficient (MCD) diet and eleven-week-old Obese male Zucker rats were used. Serum levels of hepatic enzymes and TNF-alpha were quantified. Hepatic oxidative stress (ROS, TBARS and GSH content) and MMP-2 and MMP-9 (protein expression and activity) were evaluated. Liver fatty acid profiling, performed by GC-MS, was used for the quantification of desaturase activities. Higher D5D and D9-16D were found in Obese Zucker rats as well as an increase in D9-18D in MCD rats. D6D was found only in MCD rats. A negative correlation between D5D and D9-16D versus TBARS, ROS and TNF-alpha and a positive correlation with GSH were shown in fatty livers besides a positive correlation between D9-18D versus TBARS, ROS and TNF-alpha and a negative correlation with GSH. A positive correlation between D5D or D9-16D or D9-18D versus protein expression and the activity of MMP-2 were found. NAFLD animal models showed comparable serum enzymes. These results reinforce and extend findings on the identification of therapeutic targets able to counteract NAFLD disorder.
38
Rajaei, Z., M. Hosseini, and H. Alaei. "Effects of crocin on brain oxidative damage and aversive memory in a 6-OHDA model of Parkinson’s disease." Arquivos de Neuro-Psiquiatria 74, no. 9 (September 2016): 723–29. http://dx.doi.org/10.1590/0004-282x20160131.
Full textAbstract:
ABSTRACT The purpose of the present study was to investigate the effect of crocin on brain oxidative damage and memory deficits in a 6-hydroxydopamine (6-OHDA) model of Parkinson’s disease. Male Wistar rats were subjected to unilateral injection of 6-OHDA (16 µg) into the medial forebrain bundle and treated with crocin (30 and 60 mg/kg) for six weeks. The rats were tested for memory performance at six weeks after 6-OHDA infusion, and then were killed for the estimation of biochemical parameters. The increase in thiobarbituric acid reactive substances (TBARS) and nitrite levels in the hippocampus were observed in the 6-OHDA lesioned rats, which was accompanied by memory deficits in a passive avoidance test at the end of week 6. Moreover, treatment with crocin decreased TBARS and nitrite levels in the hippocampus, and improved aversive memory. The present study conclusively demonstrated that crocin acts as an antioxidant and anti-inflammatory agent in the hippocampus of parkinsonian rats and could improve aversive memory through its properties.
39
Ichikawa, Haruyo, Xuejiang Wang, and Tetsuya Konishi. "Role of Component Herbs in Antioxidant Activity of Shengmai San — A Traditional Chinese Medicine Formula Preventing Cerebral Oxidative Damage in Rat." American Journal of Chinese Medicine 31, no. 04 (January 2003): 509–21. http://dx.doi.org/10.1142/s0192415x03001193.
Full textAbstract:
Traditional Chinese medicine (TCM) is an attractive model for studying antioxidant-based composite therapy. We previously reported that Shengmai San (SMS), a TCM formulation for treating cardiac disorders, inhibited cerebral oxidative damage in rats when evaluated by both glutathione peroxidase (GPX) activity loss and thiobarbituric acid reactive substance (TBARS) formation after forebrain ischemia-reperfusion. In the present study, we further examined the preventive effect of SMS and related decoctions composed of three component herbs (Panax ginseng, Ophiopogon japonicus and Schisandra chinensis) against oxidative brain injury to rationalize the complex formulation of SMS. Schisandra chinensis itself and decoctions containing it all inhibited TBARS formation in vivo. In contrast, Ophiopogon japonicus itself and formulations containing it had little effect on TBARS formation. GPX activity loss in vivo, on the other hand, was completely prevented only by SMS and Ophiopogon japonicus itself. A comparison of the in vitro antioxidant potential of SMS and related decoctions and in vivo effectiveness in preventing cerebral oxidative damage revealed that all the in vitro antioxidant indices examined here essentially correlated well with inhibition of TBARS formation in vivo. DPPH quenching and crocin bleaching activities showed particularly good correlation, and then, superoxide scavenging activity followed. However, none of them correlated with the inhibition of GPX activity loss in vivo. The role of each component herb is also discussed for the SMS effect.
40
Kawamura, Takuji, Kumpei Tanisawa, Ryoko Kawakami, Chiyoko Usui, Tomoko Ito, Hiroki Tabata, Nobuhiro Nakamura, et al. "Determinants of Resting Oxidative Stress in Middle-Aged and Elderly Men and Women: WASEDA’S Health Study." Oxidative Medicine and Cellular Longevity 2021 (June 7, 2021): 1–11. http://dx.doi.org/10.1155/2021/5566880.
Full textAbstract:
Previous studies have not investigated the determinants of resting oxidative stress, including physical fitness, as it relates to redox regulation. The present study therefore was aimed at identifying lifestyle and biological factors that determine resting oxidative stress, including objectively measured physical fitness. In 873 middle-aged and elderly men and women, age and anthropometric parameters, lifestyle-related parameters, medication and supplementation status, physical fitness, biochemical parameters, and nutritional intake status, as well as three plasma oxidative stress markers: protein carbonyl (PC), F2-isoprostane (F2-IsoP), and thiobarbituric acid reactive substances (TBARS), were surveyed and measured. The determinants of PC, F2-IsoP, and TBARS in all participants were investigated using stepwise multiple regression analysis. In PC, age ( β = − 0.11 , P = 0.002 ), leg extension power ( β = − 0.12 , P = 0.008 ), BMI ( β = 0.12 , P = 0.004 ), and HDL-C ( β = 0.08 , P = 0.040 ) were included in the regression model (adjusted R 2 = 0.018 ). In the F2-IsoP, smoking status ( β = 0.07 , P = 0.060 ), BMI ( β = 0.07 , P = 0.054 ), and HbA1c ( β = − 0.06 , P = 0.089 ) were included in the regression model (adjusted R 2 = 0.006 ). In TBARS, glucose ( β = 0.18 , P < 0.001 ), CRF ( β = 0.16 , P < 0.001 ), age ( β = 0.15 , P < 0.001 ), TG ( β = 0.11 , P = 0.001 ), antioxidant supplementation ( β = 0.10 , P = 0.002 ), and HbA1c ( β = − 0.13 , P = 0.004 ) were included in the regression model (adjusted R 2 = 0.071 ). In conclusion, the present study showed that age, anthropometric index, lifestyle-related parameters, medication and supplementation status, objectively measured physical fitness, biochemical parameters, and nutritional intake status explain less than 10% of oxidative stress at rest.
41
Zamora, Zullyt B., Aluet Borrego, Orlay Y. López, René Delgado, Ricardo González, Silvia Menéndez, Frank Hernández, and Siegfried Schulz. "Effects of Ozone Oxidative Preconditioning on TNF-αRelease and Antioxidant-Prooxidant Intracellular Balance in Mice During Endotoxic Shock." Mediators of Inflammation 2005, no. 1 (2005): 16–22. http://dx.doi.org/10.1155/mi.2005.16.
Full textAbstract:
Ozone oxidative preconditioning is a prophylactic approach, which favors the antioxidant-prooxidant balance for preservation of cell redox state by the increase of antioxidant endogenous systems in both in vivo and in vitro experimental models. Our aim is to analyze the effect of ozone oxidative preconditioning on serum TNF-αlevels and as a modulator of oxidative stress on hepatic tissue in entodoxic shock model (mice treated with lipopolysaccharide (LPS)). Ozone/oxygen gaseous mixture which was administered intraperitoneally (0.2,0.4, and1.2mg/kg) once daily for five days before LPS (0.1mg/kg, intraperitoneal). TNF-αwas measured by cytotoxicity on L-929 cells. Biochemical parameters such as thiobarbituric acid reactive substances (TBARS), enzymatic activity of catalase, glutathione peroxidase, and glutathione-S transferase were measured in hepatic tissue. One hour after LPS injection there was a significant increase in TNF-αlevels in mouse serum. Ozone/oxygen gaseous mixture reduced serum TNF-αlevels in a dose-dependent manner. Statistically significant decreases in TNF-αlevels after LPS injection were observed in mice pretreated with ozone intraperitoneal applications at0.2(78%),0.4(98%), and1.2(99%). Also a significant increase in TBARS content was observed in the hepatic tissue of LPS-treated mice, whereas enzymatic activity of glutathion-S transferase and glutathione peroxidase was decreased. However in ozone-treated animals a significant decrease in TBARS content was appreciated as well as an increase in the activity of antioxidant enzymes. These results indicate that ozone oxidative preconditioning exerts inhibitory effects on TNF-αproduction and on the other hand it exerts influence on the antioxidant-prooxidant balance for preservation of cell redox state by the increase of endogenous antioxidant systems.
42
Comim, Clarissa M., Karin M. Gomes, Gislaine Z. Réus, Fabrícia Petronilho, Gabriela K. Ferreira, Emílio L. Streck, Felipe Dal-Pizzol, and João Quevedo. "Methylphenidate treatment causes oxidative stress and alters energetic metabolism in an animal model of attention-deficit hyperactivity disorder." Acta Neuropsychiatrica 26, no. 2 (August 12, 2013): 96–103. http://dx.doi.org/10.1017/neu.2013.35.
Full textAbstract:
ObjectivesTo evaluate oxidative damage through the thiobarbituric acid-reactive species (TBARS) and protein carbonyl groups; antioxidant enzymatic system – superoxide dismutase (SOD) and catalase (CAT); and energetic metabolism in the brain of spontaneously hypertensive adult rats (SHR) after both acute and chronic treatment with methylphenidate hydrochloride (MPH).MethodsAdult (60 days old) SHRs were treated during 28 days (chronic treatment), or 1 day (acute treatment). The rats received one i.p. injection per day of either saline or MPH (2 mg/kg). Two hours after the last injection, oxidative damage parameters and energetic metabolism in the cerebellum, prefrontal cortex, hippocampus, striatum and cortex were evaluated.ResultsWe observed that both acute and/or chronic treatment increased TBARS and carbonyl groups, and decreased SOD and CAT activities in many of the brain structures evaluated. Regarding the energetic metabolism evaluation, the acute and chronic treatment altered the energetic metabolism in many of the brain structures evaluated.ConclusionWe observed that both acute and chronic use of methylphenidate hydrochloride (MPH) in adult spontaneously hypertensive rats (SHRs) was associated with increased oxidative stress and energetic metabolism alterations. These data also reinforce the importance of the SHR animal model in further studies regarding MPH.
43
Serdaroğlu, Meltem, Özlem Yüncü, Hülya Serpil Kavuşan, Elnaz Sharefiabadi, and Sahar Seyedhosseini. "The Effects of Using Pomegranate (Punica granatum) Seed Powder on Quality Parameters of Model System Chicken Meat Emulsions." Turkish Journal of Agriculture - Food Science and Technology 9, no. 8 (September 3, 2021): 1485–94. http://dx.doi.org/10.24925/turjaf.v9i8.1485-1494.4305.
Full textAbstract:
This study aimed to investigate the effects of using 1%, 3% and 5% pomegranate seed powder (PSP) on model system chicken meat emulsion (CME) quality parameters. For this purpose, the properties of the emulsion samples prepared using different amounts of PSP were compared with the control group prepared with 70% chicken breast meat, 18% chicken skin, 10% water, 1.5% salt and 0.5% sodium tripolyphosphate (STPP). Chemical composition, pH, emulsion stability, water holding capacity, cooking yield, and color were analyzed in emulsion samples. TBARs and peroxide values of the samples were determined on days 0, 3, 5 and 7 during storage. Use of pomegranate seed powder in emulsion formulation resulted a decrease in b* and a* values. At the same time, with the addition of pomegranate seed powder, there was no difference in the protein values of the raw samples and the moisture, ash and pH values of the cooked samples. It was also observed that pH values, water holding capacity and cooking efficiency of emulsions increased with the increasing levels of PSP. Both peroxide and TBARs values were lower in emulsion samples formulated with PSP on 7 d compared to the control group.
44
Naso, Fabio Cangeri Di, Luiz Alberto Forgiarini Junior, Luiz Felipe Forgiarini, Marilene Porawski, Alexandre Simões Dias, and Norma Anair Possa Marroni. "Aminoguanidina reduz o estresse oxidativo e as alterações estruturais pulmonares em diabetes mellitus experimental." Jornal Brasileiro de Pneumologia 36, no. 4 (August 2010): 485–89. http://dx.doi.org/10.1590/s1806-37132010000400014.
Full textAbstract:
Avaliamos o efeito da aminoguanidina sobre o estresse oxidativo pulmonar e a estrutura pulmonar em um modelo experimental de diabetes mellitus. Foram determinados thiobarbituric acid reactive substances (TBARS, substâncias reativas ao ácido tiobarbitúrico), histologia e gasometria arterial em animais com diabetes mellitus (DM), animais com diabetes mellitus tratados com aminoguanidina (DM+AG) e controles. O nível de TBARS foi significativamente maior no grupo DM que nos grupos controle e DM+AG (2,90 ± 1,12 vs. 1,62 ± 0,28 e 1,68 ± 0,04 nmol/mg proteína, respectivamente), o mesmo ocorrendo com PaCO2 em relação ao grupo controle (49,2 ± 1,65 vs. 38,12 ± 4,85 mmHg), e PaO2 foi significativamente maior no grupo controle (104,5 ± 6,3 vs. 69,48 ±16,30 e 97,05 ± 14,02 mmHg, respectivamente). Neste modelo experimental de diabetes mellitus, a aminoguanidina reduziu o estresse oxidativo, alterações estruturais teciduais pulmonares e a troca gasosa no modelo experimental.
45
Docea, Anca Oana, Daniela Calina, Ana Maria Buga, Ovidiu Zlatian, M. M. B. Paoliello, George Dan Mogosanu, Costin Teodor Streba, et al. "The Effect of Silver Nanoparticles on Antioxidant/Pro-Oxidant Balance in a Murine Model." International Journal of Molecular Sciences 21, no. 4 (February 12, 2020): 1233. http://dx.doi.org/10.3390/ijms21041233.
Full textAbstract:
This study aimed to evaluate the subacute effect of two types of Ag-NPs(EG-AgNPs and PVP-EG-AgNPs) on antioxidant/pro-oxidant balance in rats. Seventy Wistar rats (35 males and 35 females) were divided in 7 groups and intraperitoneally exposed for 28 days to 0, 1, 2 and 4 mg/kg bw/day EG-Ag-NPs and 1, 2 and 4 mg/kg bw/day PVP- EG-Ag-NPs. After 28 days, the blood was collected, and the total antioxidant capacity (TAC), thiobarbituric reactive species (TBARS),protein carbonyl (PROTC) levels, reduced glutathione (GSH) levels and catalase (CAT) activity were determined. EG-Ag-NPs determined protective antioxidant effects in a dose-dependent manner. The exposure to the 4 mg/kg bw/day EG-Ag-NPs determines both in males and females a significant increase in TAC and CAT and a significant decrease in TBARS and PROTC only in females. The PVP-EG-AgNPs showed a different trend compared to EG-AgNPs. At 4 mg/kg bw/day the PVP-EG-AgNPs induce increased PROTC levels and decreased GSH (males and females) and TAC levels (males). The different mechanisms of EG-AgNPs and PVP-EG-AgNPs on antioxidant-/pro-oxidant balance can be explained by the influence of coating agent used for the preparation of the nanoparticles in the formation and composition of protein corona that influence their pathophysiology in the organism.
46
Hosseini-Tabatabaei, Azadeh, Hadi Esmaily, Reza Rahimian, Reza Khorasani, Maryam Baeeri, Ahmadreza Barazesh-Morgani, Fatemeh Sari-Aslani, and Mohammad Abdollahi. "Benefit of nicorandil using an immunologic murine model of experimental colitis." Open Life Sciences 4, no. 1 (March 1, 2009): 74–85. http://dx.doi.org/10.2478/s11535-008-0047-0.
Full textAbstract:
AbstractInflammatory bowel disease (IBD) is a chronic inflammatory condition with an unknown etiology. Nicorandil, a potassium channel opener, has been used for many years for the treatment of angina. Recently, it has been shown that nicorandil possesses some novel traits such as anti-apoptotic, gastroprotective, free radical scavenging, and anti-inflammatory properties. Therefore, we set out to examine the possible beneficial effect of nicorandil in a rat model of IBD. Colitis was induced by rectal administration of 2,4,6-trintrobenzene sulphonic acid (TNBS) into rats. Groups of animals used in this study were sham, control, and exposure to dexamethasone, nicorandil, glibenclamid (a pure adenosine triphosphate sensitive potassium channel (KATP) blocker), or nicorandil plus glibenclamid. Drugs were administered by gavage and animals were sacrificed after 7 days. Biochemical markers, including TNF-α and IL-1β, ferric reducing/antioxidant power (FRAP), myeloperoxidase (MPO) activity and thiobarbitoric acid-reactive substance (TBARS), were measured in the homogenate of colonic tissue. Results indicate that nicorandil significantly reduces macroscopic and histological damage induced by TNBS. Nicorandil diminishes MPO activity and levels of TBARS, TNF-∢, and IL-1β in damaged colonic tissue with a concomitant increase in FRAP value (P<0.01). These effects were not reversed by coadministration of glibenclamide. In conclusion, nicorandil is able to ameliorate experimental IBD with a dose in which it does not show any anti-hypertensive effect, and the mechanism of which is partially or totally independent from KATP channels. It is hypothesized that nitric oxide donation and free-radical scavenging properties of nicorandil upregulate endothelial nitric oxide synthase may be responsible for this phenomenon. These findings suggest that nicorandil can be useful in treatment of IBD, although further investigations are needed to elucidate the mechanisms involved.
47
Silva, Maísa, Joyce Ferreira da Costa Guerra, Ana Flávia Santos Sampaio, Wanderson Geraldo de Lima, Marcelo Eustáquio Silva, and Maria Lucia Pedrosa. "Iron Dextran Increases Hepatic Oxidative Stress and Alters Expression of Genes Related to Lipid Metabolism Contributing to Hyperlipidaemia in Murine Model." BioMed Research International 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/272617.
Full textAbstract:
The objective of this study was to investigate the effects of iron dextran on lipid metabolism and to determine the involvement of oxidative stress. Fischer rats were divided into two groups: the standard group (S), which was fed the AIN-93M diet, and the standard plus iron group (SI), which was fed the same diet but also received iron dextran injections. Serum cholesterol and triacylglycerol levels were higher in the SI group than in the S group. Iron dextran was associated with decreased mRNA levels ofpparα, and its downstream genecpt1a, which is involved in lipid oxidation. Iron dextran also increased mRNA levels ofapoB-100,MTP, andL-FABPindicating alterations in lipid secretion. Carbonyl protein and TBARS were consistently higher in the liver of the iron-treated rats. Moreover, a significant positive correlation was found between oxidative stress products,lfabpexpression, and iron stores. In addition, a negative correlation was found betweenpparαexpression, TBARS, carbonyl protein, and iron stores. In conclusion, our results suggest that the increase observed in the transport of lipids in the bloodstream and the decreased fatty acid oxidation in rats, which was promoted by iron dextran, might be attributed to increased oxidative stress.
48
Akhtar, M., KK Pillai, and D. Vohora. "Effect of thioperamide on oxidative stress markers in middle cerebral artery occlusion model of focal cerebral ischemia in rats." Human & Experimental Toxicology 27, no. 10 (October 2008): 761–67. http://dx.doi.org/10.1177/0960327108094608.
Full textAbstract:
In view of the recent evidence for the involvement of histamine in cerebral ischemia, the present study evaluated the effect of thioperamide (THP), a selective histamine H3-receptor antagonist, on middle cerebral artery occlusion (MCAO) induced focal cerebral ischemia in rats. The rats were subjected to 2 h of MCAO followed by 22 h reperfusion after which the grip strength, locomotor activity and spontaneous alternation performance were assessed. Animals were then killed and oxidative stress markers were estimated in the whole brain. An elevation of thiobarbituric acid reactive substance (TBARS) and a reduction in glutathione (GSH) and antioxidant enzymes, such as glutathione-S-transferase (GST), glutathione peroxidase (GPx), glutathione reductase (GR) and superoxide dismutase (SOD), was observed following MCAO, the last two being statistically insignificant. Pretreatment with THP (5.5 mg/kg i.p. and 11 mg/kg i.p.) significantly reversed the MCAO-induced increase in TBARS, but could not reverse the other parameters. Paradoxically, it further reduced the levels of GPx, GR and SOD. No significant changes were observed in the catalase levels and in the grip strength and spontaneous alternation behavior of rats. Locomotor activity was reduced slightly, but reversed on pretreatment with THP. The dual effect of THP on oxidative stress requires further investigation and raises doubts on its possible use in cerebral ischemia.
49
Shen, XiuHua, QingYa Tang, Jiang Wu, Yi Feng, Juan Huang, and Wei Cai. "Effect of Vitamin E Supplementation on Oxidative Stress in a Rat Model of Diet-induced Obesity." International Journal for Vitamin and Nutrition Research 79, no. 4 (July 1, 2009): 255–63. http://dx.doi.org/10.1024/0300-9831.79.4.255.
Full textAbstract:
Objective: To evaluate the effect of vitamin E on the level of oxidative stress in diet-induced obese Sprague-Dawley rats. Methods: Thirty weaning male rats were placed into three groups with 10 animals each: a control group with normal chow, a diet-induced obesity group (DIO) with high-fat diet, and an intervention group with high-fat diet supplemented with vitamin E (VE, 350 mg/kg). Blood and adipose tissue were collected from rats after 10 weeks. Biomarkers of oxidative stress were detected for plasma 8-epi-prostaglandin- F2α (8-epi-PGF2α), thiobarbituric acid-reactive substances (TBARS), total anti-oxidative capacity (TAOC), α-tocopherol, superoxide dismutase (SOD) activity, and glutathione peroxidase activity (GPx). Lipid and glucose metabolism parameters such as plasma glucose, insulin, and triacylglycerol (TG) were also analyzed. Results: After 10 weeks, all obese rats (both the DIO and VE groups) had higher plasma 8-epi-PGF2α and TBARS levels than the controls. Their plasma-adjusted α-tocopherol, SOD, and GPx activities were lower than the control levels but insulin was higher (p<0.01). The VE intervention increased plasma SOD, GPx, and T-AOC, and decreased 8-epi-PGF2α (p<0.05). VE intervention also decreased plasma glucose, insulin, and TG levels (p<0.05). Conclusions: Increased oxidative stress could be an important target for the prevention of obesity-related diseases. Vitamin E has moderate effects for improvement of oxidative stress status and glucose metabolism in the animal model of diet-induced obesity.
50
Dik, Burak, Ahmet Levent Baş, and Nuray Yazıhan. "The effect of midkine on growth factors and oxidative status in an experimental wound model in diabetic and healthy rats." Canadian Journal of Physiology and Pharmacology 95, no. 5 (May 2017): 604–9. http://dx.doi.org/10.1139/cjpp-2016-0439.
Full textAbstract:
Wound healing is important for longevity. Midkine is a cytokine involved in controlling tissue repair and new tissue development, and in regulating inflammation. We investigated the effect of midkine on wound healing in rats. In total, 108 Wistar albino rats were used: 12 as healthy and diabetic controls; 96 were split into 4 groups: healthy, saline treated; healthy, midkine (10 ng/kg, 48 h intervals) treated; diabetic, saline treated; and diabetic, midkine treated. Following wound creation, 6 rats per group were euthanized on days 3, 7, 14, and 28; the wounded skin was removed. Levels of epidermal growth factor (EGF), matrix metalloproteinase-8 (MMP-8), transforming growth factor beta (TGF-β), platelet-derived growth factor (PDGF), vascular endothelial growth factor (VEGF), and thiobarbituric acid reactive substances (TBARS) were measured. MMP-8 and PDGF levels fluctuated in all groups; TGF-β fluctuated in the diabetic groups and was significantly higher in the HM group than other groups after 14 days. EGF and VEGF levels were increased in the HM group after 3 days. TBARS levels were highest in the diabetic groups. Macroscopically, the midkine-treated groups healed better. Midkine can accelerate wound healing by influencing growth factors and oxidative status in wound tissues.