Keratinocyte differentiation factor 1 enhances cervical cancer cell viability and migration by activating the PI3K/AKT pathway.

BACKGROUND: The aim of This study is to investigate the effects of Keratinocyte differentiation factor 1 (KDF1) on cervical cancer cells and the underlying mechanisms. METHODS: The Gene Expression Profiling Interactive Analysis database was used to analyse KDF1 expression in cervical cancer and paracancerous tissue samples. The correlation between the expression of KDF1 and clinicopathological features was also analysed. Cervical cancer cells (HeLa cells) with KDF1 overexpression or knockdown were constructed. Reverse transcription polymerase chain reaction was used to detect the mRNA expression of KDF1 in cervical cancer tissues and cells. In different treatment groups of cervical cancer cells, protein expression of KDF1, cell viability, invasion, and migration were subsequently confirmed by western blotting, CCK-8 assay, transwell assay, and wound healing assay, respectively. A PI3K inhibitor (LY294002) was used to detect the effect of KDF1 on the phosphoinositide 3-kinase (PI3K)/Protein Kinase B (AKT) pathway. RESULTS: KDF1 was highly expressed in cervical cancer tissues and cell lines (p < 0.01), and was significantly associated with poor prognosis (p < 0.05). Knockdown of KDF1 in HeLa cells resulted in a significant decrease in cell proliferation, migration, and invasion, as well as phosphorylated PI3K (P-PI3K) and p-AKT levels (p < 0.01). However, KDF1 overexpression activated the PI3K/AKT pathway and significantly enhanced the malignant biological behaviour of cervical cancer cells (p < 0.01). Additionally, the PI3K inhibitor reduced the proliferation, invasion, and migration of HeLa cells overexpressing KDF1 (p < 0.01). CONCLUSION: KDF1 enhances cervical cancer viability and migration by activating the PI3K/AKT pathway, and may serve as a therapeutic target for patients with cervical cancer.

Cervical cancer is the fourth most common cancer in women worldwide and the leading cause of cancer-related deaths. Keratinocyte differentiation factor 1 (KDF1) is a protein-coding gene containing an unknown functional domain (DUF4656).In the present study, we detected the expression of KDF1 in cervical cancer tissues and cells. Furthermore, we investigated the effects of KDF1 on the proliferation, invasion, and migration of cervical cancer cells and the downstream mechanisms of KDF1.KDF1 promotes cervical cancer cell proliferation, invasion, and migration by activating the PI3K/AKT pathway, and KDF1 may be a biomarker for the treatment of cervical cancer.

Cinnamaldehyde protects cardiomyocytes from oxygen-glucose deprivation/reoxygenation-induced lipid peroxidation and DNA damage via activating the Nrf2 pathway.

Rapid restoration of perfusion in ischemic myocardium is the most direct and effective treatment for coronary heart disease but may cause myocardial ischemia/reperfusion injury (MIRI). Cinnamaldehyde (CA, C9H8O), a key component in the well-known Chinese medicine cinnamomum cassia, has cardioprotective effects against MIRI. This study aimed to observe the therapeutic effect of CA on MIRI and to elucidate its potential mechanism. H9C2 rat cardiomyocytes were pretreated with CA solution at 0, 10, and 100 µM, respectively and subjected to oxygen-glucose deprivation/reoxygenation (OGD/R). Then the cell viability, the NF-κB and caspase3 gene levels, the reduced glutathione (GSH)/oxidized glutathione (GSSG) ratio, superoxide dismutase (SOD) level, reactive oxygen species (ROS) generation, 4-hydroxynonenal (4-HNE), and malondialdehyde (MDA) were detected. The severity of DNA damage was assessed by tail moment (TM) values using alkaline comet assay. Besides, the DNA damage-related proteins and the key proteins of the Nrf2 pathway were detected by western blot. CA treatment increased the cell viability, GHS/GSSG ratio, SOD level, PARP1, Nrf2, PPAR-γ, and HO-1 protein levels of H9C2 cardiomyocytes, while reducing NF-κB, caspase3, ROS level, 4-HNE and MDA content, γ-H2AX protein level, and TM values. Inhibition of the Nrf2 pathway reversed the effect of CA on cell viability and apoptosis of OGD/R induced H9C2 cardiomyocytes. Besides, 100 µM CA was more effective than 10 µM CA. In the OGD/R-induced H9C2 cardiomyocyte model, CA can protect cardiomyocytes from MIRI by attenuating lipid peroxidation and repairing DNA damage. The mechanism may be related to the activation of the Nrf2 pathway.

Effects of Peanut Rust Disease (Puccinia arachidis Speg.) on Agricultural Production: Current Control Strategies and Progress in Breeding for Resistance.

Peanuts play a pivotal role as an economic crop on a global scale, serving as a primary source of both edible oil and protein. Peanut rust (Puccinia arachidis Speg.) disease constitutes a significant global biotic stress, representing a substantial economic threat to the peanut industry by inducing noteworthy reductions in seed yields and compromising oil quality. This comprehensive review delves into the distinctive characteristics and detrimental symptoms associated with peanut rust, scrutinizing its epidemiology and the control strategies that are currently implemented. Notably, host resistance emerges as the most favored strategy due to its potential to surmount the limitations inherent in other approaches. The review further considers the recent advancements in peanut rust resistance breeding, integrating the use of molecular marker technology and the identification of rust resistance genes. Our findings indicate that the ongoing refinement of control strategies, especially through the development and application of immune or highly resistant peanut varieties, will have a profound impact on the global peanut industry.

Meta-Analysis on the Anesthetic Effects of Remifentanil plus Dexmedetomidine versus Remifentanil Alone in Cardiac Surgery.

In this study, we performed a meta-analysis to investigate the anesthesia effects of remifentanil plus dexmedetomidine versus remifentanil alone in cardiac surgery. Literature search was performed on PubMed, Web of Science, Embase, China Knowledge Infrastructure, Wanfang Data, and other databases for relevant literature published in English or Chinese before October 2021. A total of 17 studies, consisting of 1350 patients, were included in this study. Of these, 10 studies showed that remifentanil plus dexmedetomidine had a good anesthesia effect in cardiac surgery (OR = 3.61, 95% CI: 1.73, 7.52, P < 0.001), and 8 studies showed that the Ramsay score test of anesthesia (SMD = 0.88; 95% CI: -0.77, 2.53; P < 0.001) in the experimental group was better than that in the control group. In addition, changes in the hemodynamic heart rate (SMD = -0.74; 95% CI: -1.41, -0.07; P < 0.001) and mean arterial pressure (SMD = -0.18; 95% CI: -0.72, 0.36; P < 0.001) of the two groups of anesthesia were counted in 17 studies, which also showed that the anesthesia effect of remifentanil plus dexmedetomidine was good. Thus, remifentanil plus dexmedetomidine may be a more promising option for cardiac surgery anesthesia than remifentanil alone.

Using a Convolutional Neural Network and Convolutional Long Short-term Memory to Automatically Detect Aneurysms on 2D Digital Subtraction Angiography Images: Framework Development and Validation.

BACKGROUND: It is hard to distinguish cerebral aneurysms from overlapping vessels in 2D digital subtraction angiography (DSA) images due to these images' lack of spatial information. OBJECTIVE: The aims of this study were to (1) construct a deep learning diagnostic system to improve the ability to detect posterior communicating artery aneurysms on 2D DSA images and (2) validate the efficiency of the deep learning diagnostic system in 2D DSA aneurysm detection. METHODS: We proposed a 2-stage detection system. First, we established the region localization stage to automatically locate specific detection regions of raw 2D DSA sequences. Second, in the intracranial aneurysm detection stage, we constructed a bi-input+RetinaNet+convolutional long short-term memory (C-LSTM) framework to compare its performance for aneurysm detection with that of 3 existing frameworks. Each of the frameworks had a 5-fold cross-validation scheme. The receiver operating characteristic curve, the area under the curve (AUC) value, mean average precision, sensitivity, specificity, and accuracy were used to assess the abilities of different frameworks. RESULTS: A total of 255 patients with posterior communicating artery aneurysms and 20 patients without aneurysms were included in this study. The best AUC values of the RetinaNet, RetinaNet+C-LSTM, bi-input+RetinaNet, and bi-input+RetinaNet+C-LSTM frameworks were 0.95, 0.96, 0.92, and 0.97, respectively. The mean sensitivities of the RetinaNet, RetinaNet+C-LSTM, bi-input+RetinaNet, and bi-input+RetinaNet+C-LSTM frameworks and human experts were 89% (range 67.02%-98.43%), 88% (range 65.76%-98.06%), 87% (range 64.53%-97.66%), 89% (range 67.02%-98.43%), and 90% (range 68.30%-98.77%), respectively. The mean specificities of the RetinaNet, RetinaNet+C-LSTM, bi-input+RetinaNet, and bi-input+RetinaNet+C-LSTM frameworks and human experts were 80% (range 56.34%-94.27%), 89% (range 67.02%-98.43%), 86% (range 63.31%-97.24%), 93% (range 72.30%-99.56%), and 90% (range 68.30%-98.77%), respectively. The mean accuracies of the RetinaNet, RetinaNet+C-LSTM, bi-input+RetinaNet, and bi-input+RetinaNet+C-LSTM frameworks and human experts were 84.50% (range 69.57%-93.97%), 88.50% (range 74.44%-96.39%), 86.50% (range 71.97%-95.22%), 91% (range 77.63%-97.72%), and 90% (range 76.34%-97.21%), respectively. CONCLUSIONS: According to our results, more spatial and temporal information can help improve the performance of the frameworks. Therefore, the bi-input+RetinaNet+C-LSTM framework had the best performance when compared to that of the other frameworks. Our study demonstrates that our system can assist physicians in detecting intracranial aneurysms on 2D DSA images.

A machine learning-based prognostic predictor for stage III colon cancer.

Limited biomarkers have been identified as prognostic predictors for stage III colon cancer. To combat this shortfall, we developed a computer-aided approach which combing convolutional neural network with machine classifier to predict the prognosis of stage III colon cancer from routinely haematoxylin and eosin (H&E) stained tissue slides. We trained the model by using 101 cancers from West China Hospital (WCH). The predictive effectivity of the model was validated by using 67 cancers from WCH and 47 cancers from The Cancer Genome Atlas Colon Adenocarcinoma database. The selected model (Gradient Boosting-Colon) provided a hazard ratio (HR) for high- vs. low-risk recurrence of 8.976 (95% confidence interval (CI), 2.824-28.528; P, 0.000), and 10.273 (95% CI, 2.177-48.472; P, 0.003) in the two test groups, from the multivariate Cox proportional hazards analysis. It gave a HR value of 10.687(95% CI, 2.908-39.272; P, 0.001) and 5.033 (95% CI,1.792-14.132; P, 0.002) for the poor vs. good prognosis groups. Gradient Boosting-Colon is an independent machine prognostic predictor which allows stratification of stage III colon cancer into high- and low-risk recurrence groups, and poor and good prognosis groups directly from the H&E tissue slides. Our findings could provide crucial information to aid treatment planning during stage III colon cancer.

A Safe Charging Algorithm Based on Multiple Mobile Chargers.

A safe charging algorithm in wireless rechargeable sensor network ensures the charging efficiency and the electromagnetic radiation below the threshold. Compared with the current charging algorithms, the safe charging algorithm is more complicated due to the radiation constraint and the mobility of the chargers. A safe charging algorithm based on multiple mobile chargers is proposed in this paper to charge the sensor nodes with mobile chargers, in order to ensure the premise of radiation safety, multiple mobile chargers can effectively complete the network charging task. Firstly, this algorithm narrows the possible location of the sensor nodes by utilizing the charging time and antenna waveform. Secondly, the performance of non-partition charging algorithm which algorithm allow chargers to charge different sensors sets in a different cycle is evaluated against the one of partition charging which does not allow for charging different ones. The moving distance of the charger node will be reduced by 18%. It not only improves the safety level which is inversely proportional to electromagnetic radiation but also expands the application scope of the wireless sensor nodes.

Quantitative Trait Locus Analysis of Late Leaf Spot Resistance and Plant-Type-Related Traits in Cultivated Peanut (Arachis hypogaea L.) under Multi-Environments.

Late leaf spot (LLS) is one of the most serious foliar diseases affecting peanut worldwide leading to huge yield loss. To understand the genetic basis of LLS and assist breeding in the future, we conducted quantitative trait locus (QTL) analysis for LLS and three plant-type-related traits including height of main stem (HMS), length of the longest branch (LLB) and total number of branches (TNB). Significant negative correlations were observed between LLS and the plant-type-related traits in multi-environments of a RIL population from the cross Zhonghua 5 and ICGV 86699. A total of 20 QTLs were identified for LLS, of which two QTLs were identified in multi-environments and six QTLs with phenotypic variation explained (PVE) more than 10%. Ten, seven, fifteen QTLs were identified for HMS, LLB and TNB, respectively. Of these, one, one, two consensus QTLs and three, two, three major QTLs were detected for HMS, LLB and TNB, respectively. Of all 52 unconditional QTLs for LLS and plant-type-related traits, 10 QTLs were clustered in five genetic regions, of which three clusters including five robust major QTLs overlapped between LLS and one of the plant-type-related traits, providing evidence that the correlation could be genetically constrained. On the other hand, conditional mapping revealed different numbers and different extent of additive effects of QTLs for LLS conditioned on three plant-type-related traits (HMS, LLB and TNB), which improved our understanding of interrelationship between LLS and plant-type-related traits at the QTL level. Furthermore, two QTLs, qLLSB6-7 and qLLSB1 for LLS resistance, were identified residing in two clusters of NB-LRR-encoding genes. This study not only provided new favorable QTLs for fine-mapping, but also suggested that the relationship between LLS and plant-type-related traits of HMS, LLB and TNB should be considered while breeding for improved LLS resistance in peanut.

In vivo DNA mismatch repair measurement in zebrafish embryos and its use in screening of environmental carcinogens.

Impairment of DNA mismatch repair (MMR) function leads to the development and progression of certain cancers. Many environmental contaminants can target DNA MMR system. Currently, measurement of MMR activity is limited to in vitro or in vivo methods at the cell line level, and reports on measurement of MMR activity at the live organism level are lacking. Here, we report an efficient method to measure DNA MMR activity in zebrafish embryos. A G-T mismatch was introduced into enhanced green fluorescent protein (EGFP) gene. Repair of the G-T mismatch to G-C in the heteroduplex plasmid generates a functional EGFP expression. The heteroduplex plasmid and a similarly constructed homoduplex plasmid were injected in parallel into the same batch of embryos at 1-cell stage and EGFP expression in EGFP positive embryos was quantified at 24 h after injection. MMR efficiency was calculated as the total fluorescence intensity of embryos injected with the heteroduplex construct divided by that of embryos injected with the homoduplex construct. Our results showed 73% reduction of MMR activity in embryos derived from MMR-deficient mlh1 mutant fish (positive control) when compared with embryos from MMR-competent wild type AB line fish, indicating feasibility of in vivo MMR activity measurement in zebrafish embryos. We further applied this novel assay for measurement of MMR efficiency in embryos exposed to environmental chemicals such as cadmium chloride (CdCl2), benzo[a]pyrene (BaP), and perfluorooctanesulphonic acid (PFOS) from 6 hpf to 24 hpf. We observed significant reductions of MMR efficiency in embryos exposed to 0.1 µM CdCl2 (52%) and 0.5 µM BaP (34%), but no effect in embryos exposed to PFOS. Our study for the first time provides a model system for in vivo measurement of DNA MMR activity at the organism level, which has important implications in risk assessment of various environmental carcinogens.

Chronic zebrafish low dose decabrominated diphenyl ether (BDE-209) exposure affected parental gonad development and locomotion in F1 offspring.

Polybrominated diphenyl ethers (PBDEs) are widely used as flame retardants around the world. Because of large production volumes, widespread usage and persistence, PBDEs are now ubiquitous environmental pollutants detected in a wide variety of environment media and human samples and therefore pose a significant public health concern. Deca-PBDE (BDE-209) is the only commercial PBDE mixture still allowed for use at present, and has been recently detected at high levels in human samples. However, few studies explore its effect on development, reproduction or neurobehavior with animal models. In particular, studies with long-term chronic exposure at relatively low doses are lacking. In this study, we utilize the zebrafish model to explore the developmental, reproductive, and behavioral toxicities associated with long-term chronic exposure to deca-PBDE (BDE-209). Our findings revealed that long-term chronic exposure to low dose of deca-BDE (ranging from 0.001 to 1 µM) affected overall fitness (measured by condition factor), gonad development, male gamete quantity and quality in F0 parental fish. For F1 offspring without continuous exposure to BDE-209, parental BDE treatment led to delayed hatch and motor neuron development, loose muscle fiber, slow locomotion behavior in normal conditions, and hyperactivity when subjected to light-dark photoperiod stimulation. In conclusion, parental chronic low dose BDE-209 exposure not only affects F0 growth and reproduction, but also elicits neurobehavior alternations in F1 offspring.

[Expression of endoglucanase gene in Bacillus Megaterium and characterization of recombinant enzyme].

The signal peptide-encoding sequence, which was included in the gene (GenBank No. DQ782954) encoding for endoglucanase, was removed by PCR. The gene without the signal peptide was then ligated with the expression plasmid pHIS1525. The recombination plasmid pHIS1525 was transformed into Escherichia coli DH5a and the transformant was designated DH5a-pHIS1525-G7. The plasmid from the recombinant DH5a-pHIS1525-G7 was transformed into the proto-plasts of Bacillus megaterium strains WH320, and the genetically engineered bacterium, known as WH320-pHIS1525-G7, was acquired. The effective expression of the gene in the recombinant was confirmed by Congo-red dyeing and SDS poly-acrylamide gel electrophoresis (SDS-PAGE). WH320-pHIS1525-G7 was cultured in optimum condition. The activity of the endoglucanase was 899U, which was 11.22-fold higher than that of B.subtilis C-36. The properties of enzyme were deter-mined. The optimum temperature and pH value were 65 and pH 6.0, respectively. The enzyme maintained over 80% of the original enzyme activity between pH 4.5 and pH 10.0 after incubated at 50 for 30 min.