Protective effect of Lactobacillus plantarum ATCC8014 on acrylamide-induced oxidative damage in rats

Zhao Sijia,Zhao Xiaoduo,Liu Qingbo,Jiang Yujun,Li Yanhua,Feng Wenxiao,Xu Honghua,Shao Meili 한국응용생명화학회 2020 Applied Biological Chemistry (Appl Biol Chem) Vol.63 No.4

Acrylamide (AA), which is mainly found in fried foods, causes neurotoxicity, genetic toxicity, carcinogenic effects, and DNA damage. This study confirms that a strain of lactic acid bacteria (Lactobacillus plantarum ATCC8014) could alleviate the toxicity of rats by inhibiting the AA-induced oxidative damage. Forty-eight adult male SD rats were randomly divided into eight groups: control group, AA group (40 mg/kg), three different doses (1 × 107 CFU/ml, 1 × 108 CFU/ ml, 1 × 109 CFU/ml of Lactobacillus plantarum ATCC8014) of prevention groups and therapeutic groups, respectively. At the end of three-week experiment, AA treatment produced a significant reduction in the rate of weight gain along with the symptoms of hind limb splay and ataxia. Histological examinations revealed various degrees of injury in five tissues. Levels of superoxide dismutase (SOD), catalase (CAT), and glutathione (GSH) in group AA rats were significantly decreased, but the level of lipid peroxidation (LPO) was significantly increased (p < 0.05). Both prevention and therapeutic groups with 1 × 109 CFU/ml of Lactobacillus plantarum ATCC8014 could effectively reduce the injury of AA to the body. However, reductions in both groups were not statistically significant.

New Construction of Efficient Hierarchical Identity Based Signature in the Standard Model

He Liu,Sijia Wang,Mangui Liang 보안공학연구지원센터 2013 International Journal of Security and Its Applicat Vol.7 No.4

New Construction of Efficient Certificateless Aggregate Signatures

He Liu,Sijia Wang,Mangui Liang,Yongqian Chen 보안공학연구지원센터 2014 International Journal of Security and Its Applicat Vol.8 No.1

A Novel Sliding Mode Observer for State of Charge Estimation of EV Lithium Batteries

Chen, Qiaoyan,Jiang, Jiuchun,Liu, Sijia,Zhang, Caiping The Korean Institute of Power Electronics 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.3

A simple design for a sliding mode observer is proposed for EV lithium battery SOC estimation in this paper. The proposed observer does not have the limiting conditions of existing observers. Compared to the design of previous sliding mode observers, the new observer does not require a solving matrix equation and it does not need many observers for all of the state components. As a result, it is simple in terms of calculations and convenient for engineering applications. The new observer is suitable for both time-variant and time-invariant models of battery SOC estimation, and the robustness of the new observer is proved by Liapunov stability theorem. Battery tests are performed with simulated FUDS cycles. The proposed observer is used for the SOC estimation on both unchanging parameter and changing parameter models. The estimation results show that the new observer is robust and that the estimation precision can be improved base on a more accurate battery model.

A Novel Sliding Mode Observer for State of Charge Estimation of EV Lithium Batteries

Qiaoyan Chen,Jiuchun Jiang,Sijia Liu,Caiping Zhang 전력전자학회 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.3

A simple design for a sliding mode observer is proposed for EV lithium battery SOC estimation in this paper. The proposed observer does not have the limiting conditions of existing observers. Compared to the design of previous sliding mode observers, the new observer does not require a solving matrix equation and it does not need many observers for all of the state components. As a result, it is simple in terms of calculations and convenient for engineering applications. The new observer is suitable for both time-variant and time-invariant models of battery SOC estimation, and the robustness of the new observer is proved by Liapunov stability theorem. Battery tests are performed with simulated FUDS cycles. The proposed observer is used for the SOC estimation on both unchanging parameter and changing parameter models. The estimation results show that the new observer is robust and that the estimation precision can be improved base on a more accurate battery model.

Natural fracture prediction in Keshen 2 ultra-deep tight gas reservoir based on R/S analysis, Kuqa Depression, Tarim Basin

Hui Zhang,Wei Ju,Guoqing Yin,Xinyu Liu,Zhimin Wang,Sijia Liu,Ke Wang,Hui Yang,Ke Xu,Wenbo Luan 한국지질과학협의회 2021 Geosciences Journal Vol.25 No.4

Within ultra-deep tight sandstone gas reservoirs, natural fractures indicate significant effects on reservoir performance because they can serve as storage spaces for hydrocarbons and improve the permeability. Accurate prediction of natural fractures in ultra-deep reservoirs is critical to the exploration and development of tight gas in Keshen 2 Block of Kuqa Depression. In this study, several conventional logs are selected and the R/S analysis method is introduced to predict the development and distribution of natural fractures in ultra-deep tight sandstone reservoirs. Fracture development coefficient Q is calculated based on the second derivatives of lg(R/S) function and corresponding weight of each log parameter, which matches well with linear fracture density measured from image logs. There is a positive correlation between parameter Q and fracture density, higher Q values usually indicate larger fracture density. Factors causing mismatches between calculated parameter Q and fracture density are also analyzed. Fracture dip angle, fracture filling condition, vertical resolution of logs, multiple interpretations of conventional logs, and lateral detection difference between image and conventional logs may contribute to generate those false appearances. The results in this study are expected to provide new geological references for the exploration and development of ultra-deep tight gas in Keshen 2 Block of Kuqa Depression.

Lipids, Anthropometric Measures, Smoking and Physical Activity Mediate the Causal Pathway From Education to Breast Cancer in Women: A Mendelian Randomization Study

Hongkai Li,Lei Hou,Yuanyuan Yu,Xiaoru Sun,Xinhui Liu,Yifan Yu,Sijia Wu,Yina He,Yutong Wu,Li He,Fuzhong Xue 한국유방암학회 2021 Journal of breast cancer Vol.24 No.6

Purpose: We aimed to investigate whether obtaining a higher level of education was causally associated with lower breast cancer risk and to identify the causal mechanism linking them. Methods: The main data analysis used publicly available summary-level data from 2 large genome-wide association study consortia. Mendelian randomization (MR) analysis used 65 genetic variants derived from the Social Science Genetic Association Consortium as instrumental variables for years of schooling. The outcomes from the Breast Cancer Association Consortium (BCAC) were the overall breast cancer risk (122,977 cases/105,974 controls in women) and the two subtypes: estrogen receptor (ER)-positive breast cancer and ER-negative breast cancer. Fixed and random effects inverse variance weighted methods were used to estimate the causal effects, along with other additional MR methods for sensitivity analyses. Results: Results showed that each additional standard deviation of 4.2 years of education was causally associated with a 27% lower risk of ER-negative breast cancer (odds ratio, 0.73; 95% confidence interval, 0.64–0.84; p-value < 0.001). This finding was consistent with the results of the sensitivity analyses. Physical activities can help improve the protective effect of education against breast cancer, with relatively large mediation proportions. Education increases the risk of ER-positive breast cancer due to alterations in high-density lipoprotein level, triglyceride level, height, waist-to-hip ratio, body mass index, and smoking status, with relative medium mediation proportions. Other mediators including low-density lipoprotein, hip circumference, number of cigarettes smoked per day, time spent performing light physical activity, and performing vigorous physical activity for > 10 minutes explain a small part of the causal effect of education on the risk of developing breast cancer, and their mediation proportion is approximately 1%. Conclusion: A low level of education is a causal risk factor in the development of breast cancer as it is associated with poor lipid profile, obesity, smoking, and types of physical activity.

Design of carbonized unidirectional polyimide aerogel for CO2 capture: Effect of pore morphology/topology on CO2 capture

Xinfu Zhao,Yihao Nie,Xibin Yi,Shimo Yu,Jing Zhang,Xiaochan Liu,Zhipeng Yuan,Sijia Liu,Jian Zhang,Guoliang Dou,Mengdi Wang 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.128 No.-

Design of efficient CO2 adsorbent is an effective way to capture CO2. Bamboo-derived activated carbon isa promising CO2 adsorbent. Inspired by this, carbonized unidirectional polyimide (CUPI) aerogels werenewly designed by the ice templating method using directional freezing technology. The pore propertyof CUPI aerogel can be tuned by changing the solidification velocity, and a series of CUPI aerogels weredesigned to explore the CO2 capture performance in view of pore morphology/topology. As a result,the obtained CUPI-8 exhibits higher CO2 adsorption capacity compared to carbonized polyimide aerogelsdue to the synergistic effect of micropores and lamellar pores. Specially, the CO2 adsorption capacity overCUPI-8 can be up to 5.75 mmol/g at 20 bar and 298 K. Furthermore, the adsorption isotherm of CUPI-8still shows an upward trend even nearly 20 bar. The isosteric adsorption heat (Qst) value of CUPI-8 isnearly in the ideal scope of 30–50 kJ mol1. The efficient CO2 adsorption performance and good chemicalstability of CUPI aerogel makes it a promising absorbent for practical application. This work provides anew opportunity for researching the effect of pore morphology/topology and the synergistic effect ofhierarchical pores on CO2 capture.

The Main Mechanisms of Mesenchymal Stem Cell-Based Treatments against COVID-19

Li Jinling,He Shipei,Yang Hang,Zhang Lizeai,Xiao Jie,Liang Chaoyi,Liu Sijia 한국조직공학과 재생의학회 2024 조직공학과 재생의학 Vol.21 No.4

Background Coronavirus disease 2019 (COVID-19) has a clinical manifestation of hypoxic respiratory failure and acute respiratory distress syndrome. However, COVID-19 still lacks of effective clinical treatments so far. As a promising potential treatment against COVID-19, stem cell therapy raised recently and had attracted much attention. Here we review the mechanisms of mesenchymal stem cell-based treatments against COVID-19, and provide potential cues for the effective control of COVID-19 in the future. Methods Literature is obtained from databases PubMed and Web of Science. Key words were chosen for COVID- 19, acute respiratory syndrome coronavirus 2, mesenchymal stem cells, stem cell therapy, and therapeutic mechanism. Then we summarize and critically analyze the relevant articles retrieved. Results Mesenchymal stem cell therapy is a potential effective treatment against COVID-19. Its therapeutic efficacy is mainly reflected in reducing severe pulmonary inflammation, reducing lung injury, improving pulmonary function, protecting and repairing lung tissue of the patients. Possible therapeutic mechanisms might include immunoregulation, anti-inflammatory effect, tissue regeneration, anti-apoptosis effect, antiviral, and antibacterial effect, MSC - EVs, and so on. Conclusion Mesenchymal stem cells can effectively treat COVID-19 through immunoregulation, anti-inflammatory, tissue regeneration, anti-apoptosis, anti-virus and antibacterial, MSC - EVs, and other ways. Systematically elucidating the mechanisms of mesenchymal stem cell-based treatments for COVID-19 will provide novel insights into the follow-up research and development of new therapeutic strategies in next step. Background Coronavirus disease 2019 (COVID-19) has a clinical manifestation of hypoxic respiratory failure and acute respiratory distress syndrome. However, COVID-19 still lacks of effective clinical treatments so far. As a promising potential treatment against COVID-19, stem cell therapy raised recently and had attracted much attention. Here we review the mechanisms of mesenchymal stem cell-based treatments against COVID-19, and provide potential cues for the effective control of COVID-19 in the future. Methods Literature is obtained from databases PubMed and Web of Science. Key words were chosen for COVID- 19, acute respiratory syndrome coronavirus 2, mesenchymal stem cells, stem cell therapy, and therapeutic mechanism. Then we summarize and critically analyze the relevant articles retrieved. Results Mesenchymal stem cell therapy is a potential effective treatment against COVID-19. Its therapeutic efficacy is mainly reflected in reducing severe pulmonary inflammation, reducing lung injury, improving pulmonary function, protecting and repairing lung tissue of the patients. Possible therapeutic mechanisms might include immunoregulation, anti-inflammatory effect, tissue regeneration, anti-apoptosis effect, antiviral, and antibacterial effect, MSC - EVs, and so on. Conclusion Mesenchymal stem cells can effectively treat COVID-19 through immunoregulation, anti-inflammatory, tissue regeneration, anti-apoptosis, anti-virus and antibacterial, MSC - EVs, and other ways. Systematically elucidating the mechanisms of mesenchymal stem cell-based treatments for COVID-19 will provide novel insights into the follow-up research and development of new therapeutic strategies in next step.