Low microRNA150 expression is associated with activated carcinogenic pathways and a poor prognosis in patients with breast cancer

An, Sanqi; He, Kui; Liu, Fei; Ding, Qi; Wei, Yanli; Xia, Zhenglin; Duan, Xidong; Huang, Rui; Li, Bo‐Wei; Wang, Hai‐He; Tian, Yu; Li, Wen‐Xing

doi:10.3892/or.2021.7945

Cited by 9 publications

(3 citation statements)

References 37 publications

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“…According to the study of Zhu Mengkai and Yao Cuiluan, low temperature at 15℃ and high temperature at 31 and 35℃ can signi cantly increase the content of O2-in hepatopancreas of Litopenaeus vannamei [16]. Wang Yun et al found that after 6h of 8mg/L ammonia nitrogen stress, T-AOC in hemolymph of Fenneropenaeus chinensis increased signi cantly, but then gradually decreased [17]. The results of this study showed that the antioxidant enzymes T-AOC and T-SOD in high temperature group and low salt group were increased to varying degrees, and the activities of antioxidant enzymes T-AOC and T-SOD in high temperature and low salt stress group were the highest.…”

Section: Discussionmentioning

confidence: 99%

Effects of temperature and salinity on tissue structure, antioxidant capacity and heat shock protein gene expression of Penaeus monodon

Yang

Jiang

et al. 2023

Preprint

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In order to explore the influence of temperature and salinity on stress response of P. monodon, four experimental groups were set, respectively were normal temperature and normal salt (Control group), normal temperature and low salt(Group A), high temperature and low salt(Group B), high temperature and normal salt(Group C). The stress experiment was conducted for 96 hours, and the activities of acid phosphatase(ACP), alkaline phosphatase(AKP), total superoxide dismutase (T-SOD) and total antioxidant capacity (T-AOC) in hepatopancreas, the changes of tissue structure and the expression of related heat shock protein genes were measured．The results showed that the branchial structures of the three stress groups were found to be damaged to varying degrees. In Group A, AKP and ACP levels increased initially and then decreased, while T-SOD levels decreased initially and then steadily increased. In Group B and Group C, the four enzymes showed similar trends.There was no significant difference in the expression level of Hsps in the low salt group. The expression levels of Hsp-10, Hsp-60 and Hsp-90 genes showed a similar trend, and the maximum expression levels of the four genes were all at 96h. The expression levels of Hsps in muscle tissue were similar to those in hepatopancreas tissue. However, the highest expression levels of Hsp-70 and Hsp-90 in high temperature and low salt group were at 24h. Through this work on P. monodon stress responses to high temperature and low salinity, we have gained a deeper understanding of the physiological responses to environmental stressors, which will be useful in the development of protective measures for the shrimps under aquaculture conditions that replicate these stressors.

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Section: Discussionmentioning

confidence: 99%

Effects of temperature and salinity on tissue structure, antioxidant capacity and heat shock protein gene expression of Penaeus monodon

Yang

Jiang

et al. 2023

Preprint

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“…In this proposed work, the leaf data have been divided into 6 classes as mentioned above. The VGG19 [17] and MobileNet [18] architecture is used for the classification problem of classes. VGG19 is a convolution neural network that has 19 layers.…”

Section: Model Using Transfer Learning Techniquesmentioning

confidence: 99%

Plant Health Prediction and Monitoring Based on convolution Neural Network in North-East India

Meena¹

2023

IJRITCC

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Agriculture is the main backbone of any society. In this modern era as the population continuously increases, resources for farming are also decreasing. If the health condition of the plant’s determined at a regular interval, farmers can take action timely to improve the plant’s health condition. Plant monitoring and plant health status at regular intervals may lead to better growth of foods. But the regular physical visit to the crop field to monitor plants and plant health is a critical task for a large crop field. To overcome this situation, we need to shift from a traditional cropping system to smart agriculture. Now, these days, a smart agriculture-based approach can use the internet of things, machine learning, and deep learning to predict the health condition of plants. In this paper, the internet of things (IoT) based smart agriculture system has been presented along with machine learning, deep learning, and transfer learning to monitor and health prediction of plants. The IoT-based system has been used to monitor the plant’s surrounding parameters such as humidity, temperature, light intensity, and soil water moisture. The leaf images of plants have been used in deep learning (DL), machine learning (ML), and transfer learning (TL) to predict the health condition of plants. In this paper, the convolution neural network (CNN) based model has been proposed and it has been compared with the support vector machine (SVM), random forest (RF), VGG19, and mobilenet model. It has been concluded that the accuracy of the proposed CNN model is 81.5 %, which is the highest among SVM, RF, VGG19, and mobilenet..

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“…Additionally, within the normal range, elevated platelet count correlates with increased arterial stiffness in young and middle-aged individuals (14). A retrospective analysis of 2056 intensive care units (ICU) patients associate thrombocytopenia with acute respiratory distress syndrome and death (15).…”

Section: Introductionmentioning

confidence: 99%

Nonlinear relationship between platelet count and 30-day in-hospital mortality in ICU stroke patients: a multicenter retrospective cohort study

Wang,

Liu,

Zhou

et al. 2024

Preprint

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Background: Evidence of the relationship between platelet count and 30-day in-hospital mortality in ICU stroke patients is still scarce. Therefore, the purpose of this study was to explore the relationship between platelet count and 30-day in-hospital mortality among ICU stroke patients. Methods: We conducted a multicenter retrospective cohort study using data from 8029 ICU stroke patients in the US eICU-CRD v2.0 database from 2014 to 2015. Utilizing binary logistic regression, smooth curve fitting, and subgroup analyses, we examined the link between platelet count and 30-day in-hospital mortality. Results: The 30-day in-hospital mortality prevalence was 14.02%, and the mean platelet count of 223×109/L. Adjusting for covariates, our findings revealed an inverse association between platelet count and 30-day in-hospital mortality (OR = 0.975, 95% CI: 0.966, 0.984). Subgroup analyses supported the robustness of these results. Moreover, a nonlinear relationship was observed between platelet count and 30-day in-hospital mortality, with the inflection point at 163×109/L. On the left side of the inflection point, the effect size (OR) was 0.92 (0.89, 0.95), while on the right side, the relationship was not statistically significant. Conclusion: This study establishes an independent negative association between platelet count and 30-day in-hospital mortality in ICU stroke patients. Furthermore, a nonlinear relationship with a saturation effect was identified, suggesting that maintaining the platelet count around 163×109/L can reduce 30-day in-hospital mortality in these patients.

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Low microRNA150 expression is associated with activated carcinogenic pathways and a poor prognosis in patients with breast cancer

Cited by 9 publications

References 37 publications

Effects of temperature and salinity on tissue structure, antioxidant capacity and heat shock protein gene expression of Penaeus monodon

Effects of temperature and salinity on tissue structure, antioxidant capacity and heat shock protein gene expression of Penaeus monodon

Plant Health Prediction and Monitoring Based on convolution Neural Network in North-East India

Nonlinear relationship between platelet count and 30-day in-hospital mortality in ICU stroke patients: a multicenter retrospective cohort study

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