Geomagnetic activity affects animal myocardial ischemia/reperfusion injury: an experimental-simulated study.

Numerous studies have shown that geomagnetic activity (GMA) contributes to the development and escalation of cardiovascular disease (CVD), as well as increased morbidity and mortality. However, the underlying molecular mechanisms and approaches for understanding GMA remain unclear. This study aimed to investigate the impact of GMA on oxidative stress and inflammatory responses. Myocardial ischemia/reperfusion injury (MI/RI) rat models were created under various geomagnetic field conditions. The range of cardiac function, markers of myocardial injury, inflammatory factors, and the TLR4/NF-κB signaling pathway were measured after the 24-h period. The findings showed that weak GMA significantly improved cardiac function in the MI/RI rat model and reduced the size of myocardial infarction and creatine kinase (CK) and lactic dehydrogenase (LDH) levels. Additionally, weak GMA enhanced superoxide dismutase (SOD) activity and decreased malondialdehyde (MDA) content. Furthermore, weak GMA significantly reduced the levels of the myocardial inflammatory cytokines interleukin-1 (IL-1), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α). Conversely, the effects observed under severe GMA conditions were opposite to those observed under weak GMA. Western blot and qPCR analysis demonstrated that weak GMA led to a significant downregulation of TLR4, TRAF6, NF-κB, TNF-α, and MCP-1 in the MI/RI rat models. In contrast to weak GMA, severe GMA increased TLR4, TRAF6, NF-κB, and TNF-α expression. This study suggested that weak GMA had a limiting effect on MI/RI rat models, whereas severe GMA exacerbated injury in MI/RI rats. These effects were associated with oxidative stress and inflammatory responses and might potentially involve the TLR4/NF-κB signaling pathway.

A Deep Learning Quantification Algorithm for HER2 Scoring of Gastric Cancer.

Gastric cancer is the third most common cause of cancer-related death in the world. Human epidermal growth factor receptor 2 (HER2) positive is an important subtype of gastric cancer, which can provide significant diagnostic information for gastric cancer pathologists. However, pathologists usually use a semi-quantitative assessment method to assign HER2 scores for gastric cancer by repeatedly comparing hematoxylin and eosin (H&E) whole slide images (WSIs) with their HER2 immunohistochemical WSIs one by one under the microscope. It is a repetitive, tedious, and highly subjective process. Additionally, WSIs have billions of pixels in an image, which poses computational challenges to Computer-Aided Diagnosis (CAD) systems. This study proposed a deep learning algorithm for HER2 quantification evaluation of gastric cancer. Different from other studies that use convolutional neural networks for extracting feature maps or pre-processing on WSIs, we proposed a novel automatic HER2 scoring framework in this study. In order to accelerate the computational process, we proposed to use the re-parameterization scheme to separate the training model from the deployment model, which significantly speedup the inference process. To the best of our knowledge, this is the first study to provide a deep learning quantification algorithm for HER2 scoring of gastric cancer to assist the pathologist's diagnosis. Experiment results have demonstrated the effectiveness of our proposed method with an accuracy of 0.94 for the HER2 scoring prediction.

O-Net: A Novel Framework With Deep Fusion of CNN and Transformer for Simultaneous Segmentation and Classification.

The application of deep learning in the medical field has continuously made huge breakthroughs in recent years. Based on convolutional neural network (CNN), the U-Net framework has become the benchmark of the medical image segmentation task. However, this framework cannot fully learn global information and remote semantic information. The transformer structure has been demonstrated to capture global information relatively better than the U-Net, but the ability to learn local information is not as good as CNN. Therefore, we propose a novel network referred to as the O-Net, which combines the advantages of CNN and transformer to fully use both the global and the local information for improving medical image segmentation and classification. In the encoder part of our proposed O-Net framework, we combine the CNN and the Swin Transformer to acquire both global and local contextual features. In the decoder part, the results of the Swin Transformer and the CNN blocks are fused to get the final results. We have evaluated the proposed network on the synapse multi-organ CT dataset and the ISIC 2017 challenge dataset for the segmentation task. The classification network is simultaneously trained by using the encoder weights of the segmentation network. The experimental results show that our proposed O-Net achieves superior segmentation performance than state-of-the-art approaches, and the segmentation results are beneficial for improving the accuracy of the classification task. The codes and models of this study are available at https://github.com/ortonwang/O-Net.

Study on the effect of CYP2C19 genetic polymorphism and plasma concentration on clopidogrel resistance.

At present, the mechanism for clopidogrel resistance (CR) is incompletely understood. Here, we aimed to analyze of the association of plasma concentration of clopidogrel active metabolites (CAM) and CYP2C19 genetic polymorphism with CR. We assigned 77 patients to receive CLP at a loading dose of 300mg on day 1, followed by 75mg per day from day 2 to day 6. Three peripheral venous blood samples were collected for analysis. Our results showed that plasma concentration of CAM in extensive metabolizers (EMs) group (2.48(1.31, 5.67) ng/mL) was higher than that in intermediate metabolizers (IMs) group (1.44(1.18,3.55) ng/mL) and that in poor metabolizers (PMs) (1.18(1.12,1.33) ng/mL) group was the lowest (H=14.58, P=0.001). Besides, the incidence of CR in EMs group(11.1%) was lower than that in IMs group (20.0%) and that in IMs group was lower than that in PMs group (45.5%) (χ2=6.344, P=0.042). In addition, our findings confirmed that the incidence of chest tightness in IMs group (40.0%) and PMs group (50.0%) was higher than that in EMs group (9.1%) (P=0.015). Over the follow-up period, it was found that CYP2C19 and plasma concentration of CAM were related to the incidence of chest tightness. Our findings indicated that in addition to CYP2C19, plasma concentration of CAM may be an important factor in predicting CR.

Prescription of Sageretia hamosa Brongn Relieved Goiter through Promoted Apoptosis of Thyroid Cells via miR-511-3p and PTEN/PI3K/Akt Pathway.

Goiter is thyroid enlargement, in China, Sageretia hamosa Brongn (SHB) can be used to treat goiter, but it has not been reported. Therefore, data analytics of SHB prescription on thyroid were explored in this study to provide a theoretical support for SHB in the treatment of goiter. In this study, rat in goiter model was constructed by using propylthiouracil (PTU) and treated with SHB prescription. Thyroid function about the triiodothyronine (T3), free thyroxine (T4), free triiodothyronine (FT3), free thyroxine (FT4), and thyroid-stimulating hormone (TSH) were measured by ELISA; thyroid coefficient was calculated after weighed thyroid; and HE staining was applied to assess the morphology of thyroid tissue. miRNA microarrays were employed to detect miRNA expression in thyroid tissue of rats. Expression of miR-511-3p was measured by RT-qPCR; expression of proteins (PTEN and apoptosis-related proteins) was tested by western blotting; relationship between miR-511-3p and PTEN was investigated by dual luciferase reporter gene assay; cell viability rate was determined by CCK-8; and cell cycle distribution and apoptosis rate were detected by flow cytometry. The results showed that SHB prescription ameliorated goiter and downregulated miR-511-3p. miR-511-3p targeted PTEN in thyroid cells and PTEN negatively regulated the activation of PI3K/Akt pathway. Furthermore, the inhibition of apoptosis in thyroid cells caused by the overexpression of miR-511-3p or the activation of PI3K/Akt pathway was reversed by treatment of SHB prescription, inhibition of miR-511-3p, or overexpression of PTEN. In conclusion, SHB prescription promoted apoptosis of thyroid through decreased miR-511-3p and regulated PTEN/PI3K/Akt pathway, it might suggest possible medical applications.

Effect of simulated geomagnetic activity on myocardial ischemia/reperfusion injury in rats

Abstract Objective: To study the response of myocardial ischemia/reperfusion injury (MI/RI) in rats to simulated geomagnetic activity. Methods: In a simulated strong geomagnetic outbreak, the MI/RI rat models were radiated, and their area of myocardial infarction, hemodynamic parameters, creatine kinase (CK), lactate dehydrogenase (LDH), melatonin, and troponin I values were measured after a 24-hour intervention. Results: Our analysis indicates that the concentrations of troponin I in the geomagnetic shielding+operation group were lower than in the radiation+operation group (P<0.05), the concentrations of melatonin in the shielding+operation group and normal+operation group were higher than in the radiation + operation group (P<0.01), and the concentrations of CK in the shielding + operation group were lower than in the radiation + operation group and normal + operation group (P<0.05). Left ventricular developed pressure (LVDP) and ± dP/dtmax in the radiation+operation group were lower than in the shielding + operation group and normal+operation group (P<0.01). Left ventricular end-diastolic pressure (LEVDP) in the shielding + operation group was higher than in the normal + operation group (P<0.05). There was no significant difference in area of myocardial infarction and LDH between the shielding + operation group and the radiation + operation group. Conclusion: Our data suggest that geomagnetic activity is important in regulating myocardial reperfusion injury. The geomagnetic shielding has a protective effect on myocardial injury, and the geomagnetic radiation is a risk factor for aggravating the cardiovascular and cerebrovascular diseases.

Effect of Simulated Geomagnetic Activity on Myocardial Ischemia/Reperfusion Injury in Rats.

OBJECTIVE: To study the response of myocardial ischemia/reperfusion injury (MI/RI) in rats to simulated geomagnetic activity. METHODS: In a simulated strong geomagnetic outbreak, the MI/RI rat models were radiated, and their area of myocardial infarction, hemodynamic parameters, creatine kinase (CK), lactate dehydrogenase (LDH), melatonin, and troponin I values were measured after a 24-hour intervention. RESULTS: Our analysis indicates that the concentrations of troponin I in the geomagnetic shielding+operation group were lower than in the radiation+operation group (P<0.05), the concentrations of melatonin in the shielding+operation group and normal+operation group were higher than in the radiation + operation group (P<0.01), and the concentrations of CK in the shielding + operation group were lower than in the radiation + operation group and normal + operation group (P<0.05). Left ventricular developed pressure (LVDP) and ± dP/dtmax in the radiation+operation group were lower than in the shielding + operation group and normal+operation group (P<0.01). Left ventricular end-diastolic pressure (LEVDP) in the shielding + operation group was higher than in the normal + operation group (P<0.05). There was no significant difference in area of myocardial infarction and LDH between the shielding + operation group and the radiation + operation group. CONCLUSION: Our data suggest that geomagnetic activity is important in regulating myocardial reperfusion injury. The geomagnetic shielding has a protective effect on myocardial injury, and the geomagnetic radiation is a risk factor for aggravating the cardiovascular and cerebrovascular diseases.

Linderalactone inhibits human lung cancer growth by modulating the expression of apoptosis-related proteins, G2/M cell cycle arrest and inhibition of JAK/STAT signalling pathway.

PURPOSE: The main purpose of the current research work was to evaluate the antitumor effects of linderalactone in A-549 human lung carcinoma cell line along with the study its effects on apoptosis-related proteins, cell cycle phase distribution and JAK/STAT signalling pathway. METHODS: The viability of lung cancer cell line was investigated by MTT assay at varying doses of linderalactone. Apoptosis was detected by using fluorescence microscopy and flow cytometry. Cell cycle analysis was carried out by flow cytometery. The protein expression was examined by western blotting. RESULTS: Linderalactone could inhibit the proliferation of the lung cancer A-549 cells with an IC50 of 15 µM. Further investigations indicated the antiproliferative effects of linderalactone are due to apoptosis induction which was further confirmed by Bax and Bcl-2 expression. It also induced G2/M cell cycle arrest which was also associated with alteration of the expression of several important proteins. Furthermore, linderalactone could also suppress the JAK/STAT signalling pathway. CONCLUSIONS: In conclusion, linderalactone could be developed as a potential drug candidate against lung cancer provided that further in depth studies are carried out in this direction focusing on its in vivo efficacy.

Mutation-sensitive molecular switch method to detect CES1A2 mutation in the Chinese Han and Yao populations.

Carboxylesterase 1 (CES1) is involved in the metabolic activation of a variety of prodrugs into active derivatives and plays an important role in pharmacokinetics and pharmacodynamics. A single-nucleotide polymorphism, A(-816)C, of the CES1A2 gene has been shown to enhance transcription efficiency and increase enzyme activity. The aim of this study was to develop an easy method to detect this polymorphism. For this we used the mutation-sensitive molecular switch method to investigate the polymorphism distribution in the Chinese Han and Yao populations. The method was well validated by direct sequencing. In 204 Han individuals, the percentages of the distribution of CES1A2 A(-816)C genotypes are AA 58.33% (n=119), AC 35.78% (n=73), and CC 5.88% (n=12). The genotype frequencies are AA 47.76% (n=96), AC 42.79% (n=86), and CC 9.45% (n=19) in 201 Yaos. The frequency of the mutant C allele in the Yao population is significantly higher than that in the Han population (30.85% vs. 23.77%, p=0.0239). The method can be easily used for the detection of the single-nucleotide polymorphism in CES1A2, and we found that there is a marked difference in mutant C allele between Chinese Han and Yao populations, suggesting individual and ethnic differences of CES1 drug metabolism between these two populations.