Emerging roles and mechanisms of lncRNAs in fruit and vegetables.

With the development of genome sequencing technologies, many long non-coding RNAs (lncRNAs) have been identified in fruit and vegetables. lncRNAs are primarily transcribed and spliced by RNA polymerase II (Pol II) or plant-specific Pol IV/V, and exhibit limited evolutionary conservation. lncRNAs intricately regulate various aspects of fruit and vegetables, including pigment accumulation, reproductive tissue development, fruit ripening, and responses to biotic and abiotic stresses, through diverse mechanisms such as gene expression modulation, interaction with hormones and transcription factors, microRNA regulation, and involvement in alternative splicing. This review presents a comprehensive overview of lncRNA classification, basic characteristics, and, most importantly, recent advances in understanding their functions and regulatory mechanisms.

17ß-estradiol promotes myeloid-derived suppressor cells functions and alleviates inflammatory bowel disease by activation of Stat3 and NF-κB signalings.

Inflammatory bowel disease (IBD) describes a group of clinically common autoimmune diseases characterized by chronic intestinal inflammation, with gender differences in prevalence. Estrogen has been previously shown to exert anti-inflammatory action in IBD development, however, the mechanisms remain obscure. Recent research has revealed that myeloid-derived suppressor cells (MDSCs) play a protective role in IBD pathogenesis. To investigate the molecular mechanisms of estrogen steroid 17ß-estradiol (E2) in IBD progression, we established IBD mouse models (DNB-induced) with or without prior ovariectomy (OVX) and E2 implantation. We found that OVX led to worse IBD symptoms and reduced MDSCs frequency, whereas E2 significantly alleviated these effects in vivo. Moreover, in vitro experiments showed that E2 promoted the proliferation and immunosuppressive function of MDSCs through phosphorylation of Stat3 and p65. Mechanistically, E2-mediated Stat3/p65 phosphorylation depends on the interaction between HOTAIR, a long non-coding RNA that are well-known in MDSCs proliferation, and Stat3/p65 respectively. In conclusion, our study revealed that E2 promotes the expansion and immunosuppressive function of MDSCs, and thus diminished the occurrence and development of IBD.

A single-cell atlas of lung homeostasis reveals dynamic changes during development and aging.

Aging is a global challenge, marked in the lungs by function decline and structural disorders, which affects the health of the elderly population. To explore anti-aging strategies, we develop a dynamic atlas covering 45 cell types in human lungs, spanning from embryonic development to aging. We aim to apply the discoveries of lung's development to address aging-related issues. We observe that both epithelial and immune cells undergo a process of acquisition and loss of essential function as they transition from development to aging. During aging, we identify cellular phenotypic alternations that result in reduced pulmonary compliance and compromised immune homeostasis. Furthermore, we find a distinctive expression pattern of the ferritin light chain (FTL) gene, which increases during development but decreases in various types of lung cells during the aging process.

Endothelial NLRP3 inflammasome regulation in atherosclerosis.

AIM: The activation of Nucleotide-binding oligomerization domain-like receptor protein 3 (NLRP3) inflammasome in endothelial cells (ECs) contributes to vascular inflammation in atherosclerosis. Considering the high glycolytic rate of ECs, we delineated whether and how glycolysis determines endothelial NLRP3 inflammasome activation in atherosclerosis. METHODS AND RESULTS: Our results demonstrated a significant upregulation of 6-Phosphofructo-2-Kinase/Fructose-2,6-Biphosphatase 3 (PFKFB3), a key regulator of glycolysis, in human and mouse atherosclerotic endothelium, which positively correlated with NLRP3 levels. Atherosclerotic stimuli upregulated endothelial PFKFB3 expression via sterol regulatory element binding protein 2 (SREBP2) transactivation. EC-selective haplodeficiency of Pfkfb3 in Apoe-/- mice resulted in reduced endothelial NLRP3 inflammasome activation and attenuation of atherogenesis. Mechanistic investigations revealed that PFKFB3-driven glycolysis increased the NADH content and induced oligomerization of C-terminal binding protein 1 (CtBP1), an NADH-sensitive transcriptional co-repressor. The monomer form, but not the oligomer form, of CtBP1 was found to associate with the transcriptional repressor Forkhead box P1 (FOXP1) and acted as a transrepressor of inflammasome components, including NLRP3, caspase-1, and interleukin-1ß (IL-1ß). Interfering with NADH-induced CtBP1 oligomerization restored its binding to FOXP1 and inhibited the glycolysis-dependent upregulation of NLRP3, Caspase-1, and IL-1ß. Additionally, EC-specific overexpression of NADH-insensitive CtBP1 alleviates atherosclerosis. CONCLUSIONS: Our findings highlight the existence of a glycolysis-dependent NADH/CtBP/FOXP1-transrepression pathway that regulates endothelial NLRP3 inflammasome activation in atherogenesis. This pathway represents a potential target for selective PFKFB3 inhibitors or strategies aimed at disrupting CtBP1 oligomerization to modulate atherosclerosis.

FSH induces EMT in ovarian cancer via ALKBH5-regulated Snail m6A demethylation.

Background: The therapeutic benefits of targeting follicle-stimulating hormone (FSH) receptor in treatment of ovarian cancer are significant, whereas the role of FSH in ovarian cancer progresses and the underlying mechanism remains to be developed. Methods: Tissue microarray of human ovarian cancer, tumor xenograft mouse model, and in vitro cell culture were used to investigate the role of FSH in ovarian carcinogenesis. siRNA, lentivirus and inhibitors were used to trigger the inactivation of genes, and plasmids were used to increase transcription of genes. Specifically, pathological characteristic was assessed by histology and immunohistochemistry (IHC), while signaling pathway was studied using western blot, quantitative RT-PCR, and immunofluorescence. Results: Histology and IHC of human normal ovarian and tumor tissue confirmed the association between FSH and Snail in ovarian cancer metastasis. Moreover, in epithelial ovarian cancer cells and xenograft mice, FSH was showed to promote epithelial mesenchymal transition (EMT) progress and metastasis of ovarian cancer via prolonging the half-life of Snail mRNA in a N6-methyladenine methylation (m6A) dependent manner, which was mechanistically through the CREB/ALKBH5 signaling pathway. Conclusions: These findings indicated that FSH induces EMT progression and ovarian cancer metastasis via CREB/ALKBH5/Snail pathway. Thus, this study provided new insight into the therapeutic strategy of ovarian cancer patients with high level of FSH.

Expression and influence of KATP in umbilical artery smooth muscle cells of patients with hypertensive disorders of pregnancy.

The objective of this study is to investigate the expression and influence of adenosine triphosphate-sensitive potassium channel (KATP) in human umbilical arterial smooth muscle cells (HUASMCs) of patients with hypertensive disorders of pregnancy (HDP). Western blotting was used to detect the protein expression levels of KATP inwardly rectifying potassium channel (Kir)6.1 and sulphonylurea receptor (SUR)2B subunits in HUASMCs from patients with normal parturients (NP), gestational hypertension (GH), chronic hypertension (CH), preeclampsia (PE) and chronic hypertension with superimposed preeclampsia (CHSP), respectively. There was no significant difference in the protein expression of Kir6.1 subunit in NP group, GH group, CH group, PE group and CHSP group (P > 0.05). The protein expression of SUR2B subunit was gradually decreased in NP group, GH group, CH group, PE group and CHSP group, with statistically significant difference among the groups (P < 0.05). The altered expression level of KATP SUR2B subunit may be involved in the pathogenesis of HDP. The severity of HDP may be related to the degree of decrease of SUR2B subunit.

AST3DRNet: Attention-Based Spatio-Temporal 3D Residual Neural Networks for Traffic Congestion Prediction.

Traffic congestion prediction has become an indispensable component of an intelligent transport system. However, one limitation of the existing methods is that they treat the effects of spatio-temporal correlations on traffic prediction as invariable during modeling spatio-temporal features, which results in inadequate modeling. In this paper, we propose an attention-based spatio-temporal 3D residual neural network, named AST3DRNet, to directly forecast the congestion levels of road networks in a city. AST3DRNet combines a 3D residual network and a self-attention mechanism together to efficiently model the spatial and temporal information of traffic congestion data. Specifically, by stacking 3D residual units and 3D convolution, we proposed a 3D convolution module that can simultaneously capture various spatio-temporal correlations. Furthermore, a novel spatio-temporal attention module is proposed to explicitly model the different contributions of spatio-temporal correlations in both spatial and temporal dimensions through the self-attention mechanism. Extensive experiments are conducted on a real-world traffic congestion dataset in Kunming, and the results demonstrate that AST3DRNet outperforms the baselines in short-term (5/10/15 min) traffic congestion predictions with an average accuracy improvement of 59.05%, 64.69%, and 48.22%, respectively.

Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration.

Cancer is one of the most deadly diseases in the world. Accurate cancer subtype classification is critical for patient diagnosis, treatment, and prognosis. Ever-increasing multi-omics data describes the characteristics of the patients from different views and serves as complementary information to promote cancer subtype identification. However, omics data generally have different distributions and high dimensions. How to effectively integrate multiple omics data to classify cancer subtypes accurately is a challenge for researchers. This work proposes a method integrating multi-omics data based on supervised graph contrast learning (MCRGCN) to classify cancer subtypes. The method considers the unique feature distribution of each omics data and the interaction of different omics data features to improve the accuracy of cancer subtype classification. To achieve this, MCRGCN first constructs different sample networks based on the multi-omics data of the samples. Then, it puts the omics data and adjacency matrix of the sample into different residual graph convolution models to get multi-omics features of the samples, which are trained with a supervised comparison loss to maintain that the sample features of each omics should be as consistent as possible. Finally, we input the sample features combining multi-omics features into a classifier to obtain the cancer subtypes. We applied MCRGCN to the invasive breast carcinoma (BRCA) and glioblastoma multiforme (GBM) datasets, integrating gene expression, miRNA expression, and DNA methylation data. The results demonstrate that our model is superior to other methods in integrating multi-omics data. Moreover, the results of survival analysis experiments demonstrate that the cancer subtypes identified by our model have significant clinical features. Furthermore, our model can help to identify potential biomarkers and pathways associated with cancer subtypes.

A noninvasive method for the detection of foetal DNA in early pregnancy based on differential methylation pattern of Ras association domain family member 1A.

BACKGROUND: The detection of foetal DNA and extravillus trophoblasts (EVTs) in early pregnancy in cervical and uterine samples offers a potential pathway for non-invasive prenatal diagnostics. However, the challenge lies in effectively quantifying these samples. This study introduces a novel approach using the Ras association domain family 1 A (RASSF1A), which exhibits hypermethylation in foetal cells and hypomethylation in maternal cells. The differential methylation pattern of RASSF1A provides a unique biomarker for quantifying foetal cells in cervical and intrauterine samples. METHODS: This study was conducted between September 2022 and May 2023. In total, 23 samples (12 cervical cell samples and 11 intrauterine samples) were collected from women in the Sichuan Jinxin Women & Children Hospital, Jingxiu District, Chengdu, China. The cervical cell samples were collected via lavage and brush techniques, and the intrauterine cell samples were obtained via uterine lavage. These samples were collected as part of a broader effort to advance our understanding of foetal cell dynamics during early pregnancy. The sampling methods were chosen for their minimally invasive nature and their potential in capturing a representative cell population from the respective sites. After digestion of the cell samples using a methylation-sensitive restriction enzyme cocktail, a critical step to differentiate between maternal and foetal DNA, the quantitative polymerase chain reaction (qPCR) of RASSF1A and ß-actin (ACTB) were employed to measure foetal DNA and cell concentrations. Immunofluorescence techniques targeting histocompatibility complex, class I G (HLA-G) and GATA binding protein 3 (GATA-3) were employed to detect EVTs in the cell samples and in decidual tissue, with the latter providing an additional layer of confirmation for the presence of foetal cells. RESULTS: The results showed no hypermethylated RASSF1A was detected in any of the cervical samples, irrespective of whether the samples were obtained by brush or lavage. However, an average of 17,236 ± 7490 foetal cells per sample were detected in the uterine lavage samples. Foetal cells accounted for approximately 0.14% ± 0.10% of the total cell population in these samples. The presence of EVTs in these samples was confirmed by their expression of both HLA-G and GATA-3. CONCLUSION: The detection of foetal cells in uterine cavity samples based on hypermethylation of RASSF1A and quantification of foetal cells can be used to prenatal screening. GATA-3 can be used to label EVTs.

In the realm gestational foetal health, obtaining foetal cells or genetic information is important for detecting and managing potential genetic disorders. Although foetal cells can be obtained from the cervix or uterine cavity, methods to quantify the foetal cell and foetal DNA are lacking. We introduce an innovative technique that utilises DNA restriction endonucleases to selectively isolate foetal DNA and identify foetal cells. We used this technique to measure the number of foetal cells in a sample. Using this technique, we detected foetal cells collected via lavage in uterine but not cervical samples. This finding is significant as it paves the way towards early detection of chromosomal disorders in foetuses, potentially as early as the 10th week of pregnancy. Such early detection offers promising new screening options in early pregnancy, contributing to better prenatal care and outcomes.

Huaju Xiaoji Formula Regulates ERS-lncMGC/miRNA to Enhance the Renal Function of Hypertensive Diabetic Mice with Nephropathy.

Background: Better therapeutic drugs are required for treating hypertensive diabetic nephropathy. In our previous study, the Huaju Xiaoji (HJXJ) formula promoted the renal function of patients with diabetes and hypertensive nephropathy. In this study, we investigated the therapeutic effect and regulation mechanism of HJXJ in hypertensive diabetic mice with nephropathy. Methods: We constructed a mouse hypertensive diabetic nephropathy (HDN) model by treating mice with streptozotocin (STZ) and nomega-nitro-L-arginine methyl ester (LNAME). We also constructed a human glomerular mesangial cell (HGMC) model that was induced by high doses of sugar (30 mmol/mL) and TGFß1 (5 ng/mL). Pathological changes were evaluated by hematoxylin and eosin (H&E) staining, periodic acid Schiff (PAS) staining, and Masson staining. The fibrosis-related molecules (TGFß1, fibronectin, laminin, COL I, COL IV, α-SMA, and p-smad2/3) were detected by enzyme-linked immunosorbent assay (ELISA). The mRNA levels and protein expression of endoplasmic reticulum stress, fibrosis molecules, and their downstream molecules were assessed using qPCR and Western blotting assays. Results: Administering HJXJ promoted the renal function of HDN mice. HJXJ reduced the expression of ER stress makers (CHOP and GRP78) and lncMGC, miR379, miR494, miR495, miR377, CUGBP2, CPEB4, EDEM3, and ATF3 in HDN mice and model HGMCs. The positive control drugs (dapagliflozin and valsartan) also showed similar effects after treatment with HJXJ. Additionally, in model HGMCs, the overexpression of CHOP or lncMGC decreased the effects of HJXJ-M on the level of fibrosis molecules and downstream target molecules. Conclusion: In this study, we showed that the HJXJ formula may regulate ERS-lncMGC/miRNA to enhance renal function in hypertensive diabetic mice with nephropathy. This study may act as a reference for further investigating whether combining HJXJ with other drugs can enhance its therapeutic effect. The findings of this study might provide new insights into the clinical treatment of hypertensive diabetic nephropathy with HJXJ.

Follicle-stimulating hormone accelerates osteoclast migration by enhancing methyltransferase-like 3-mediated m6A methylation of cathepsin K.

Follicle-stimulating hormone (FSH) accelerates osteoporosis in postmenopausal women, while the underlying mechanism remains uncharacterized. N6-methyladenosine (m6A) is one of the most important regulations in the development of osteoporosis. In this study, we aimed to investigate the role of FSH in m6A modification and osteoclast function. Here, we showed that FSH upregulated m6A levels in osteoclasts via stimulating methyltransferase-like 3 (METTL3) protein expression. FSH enhanced osteoclast migration, while the knockdown of METTL3 eliminated this enhancement. Both MeRIP-seq and RNA sequencing identified that cathepsin K (CTSK) is the potential downstream target of METTL3. Knockdown of CTSK reduced FSH-upregulated osteoclast migration. Furthermore, silencing METTL3 decreased CTSK mRNA stability. Finally, FSH induced phosphorylation of cyclic-AMP response element-binding protein (CREB), while silencing of CREB attenuated the effects of FSH on the promoter transcriptional activity of Mettl3 and CTSK/METTL3 protein. Taken together, these findings indicate that FSH promotes osteoclast migration via the CREB/METTL3/CTSK signaling pathway, which may provide a potential target for suppressing osteoclast mobility and postmenopausal osteoporosis therapy.

Improving anti-cancer drug response prediction using multi-task learning on graph convolutional networks.

Predicting the therapeutic effect of anti-cancer drugs on tumors based on the characteristics of tumors and patients is one of the important contents of precision oncology. Existing computational methods regard the drug response prediction problem as a classification or regression task. However, few of them consider leveraging the relationship between the two tasks. In this work, we propose a Multi-task Interaction Graph Convolutional Network (MTIGCN) for anti-cancer drug response prediction. MTIGCN first utilizes an graph convolutional network-based model to produce embeddings for both cell lines and drugs. After that, the model employs multi-task learning to predict anti-cancer drug response, which involves training the model on three different tasks simultaneously: the main task of the drug sensitive or resistant classification task and the two auxiliary tasks of regression prediction and similarity network reconstruction. By sharing parameters and optimizing the losses of different tasks simultaneously, MTIGCN enhances the feature representation and reduces overfitting. The results of the experiments on two in vitro datasets demonstrated that MTIGCN outperformed seven state-of-the-art baseline methods. Moreover, the well-trained model on the in vitro dataset GDSC exhibited good performance when applied to predict drug responses in in vivo datasets PDX and TCGA. The case study confirmed the model's ability to discover unknown drug responses in cell lines.

Glycolysis Promotes Angiotensin II-Induced Aortic Remodeling Through Regulating Endothelial-to-Mesenchymal Transition via the Corepressor C-Terminal Binding Protein 1.

BACKGROUND: Endothelial dysfunction plays a crucial role in aortic remodeling. Aerobic glycolysis and endothelial-to-mesenchymal transition (EndoMT) have, respectively, been suggested to contribute to endothelial dysfunction in many cardiovascular diseases. Here, we tested the hypothesis that glycolytic reprogramming is critical for EndoMT induction in aortic remodeling through an epigenetic mechanism mediated by a transcriptional corepressor CtBP1 (C-terminal binding protein 1), a sensor of glycolysis-derived NADH. METHODS: EndoMT program, aortic remodeling, and endothelial expression of the glycolytic activator PFKFB3 (6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase isoform 3) were evaluated in Ang (angiotensin) II-infused mice. Mice with endothelial-specific Pfkfb3 deficiency or CtBP1 inactivation, immunoprecipitation, chromatin immunoprecipitation, and luciferase reporter assay were employed to elucidate whether and how PFKFB3/CtBP1 epigenetically controls EndoMT. RESULTS: The EndoMT program and increased endothelial PFKFB3 expression were induced in remodeled thoracic aortas. In TGF-ß (transforming growth factor-ß)-treated human endothelial cells, activated SMAD2/3 (SMAD Family Member 2/3) transcriptionally upregulated PFKFB3 expression. In turn, the TGF-ß/SMAD signaling and EndoMT were compromised by silencing or inhibition of PFKFB3. Mechanistic studies revealed that PFKFB3-mediated glycolysis increased NADH content and activated the NADH-sensitive CtBP1. Through interaction with the transcription repressor E2F4 (E2F Transcription Factor 4), CtBP1 enhanced E2F4-mediated transcriptional repression of SMURF2 (SMAD ubiquitin regulatory factor 2), a negative regulator of TGF-ß/SMAD2 signaling. Additionally, EC-specific Pfkfb3 deficiency or CtBP1 inactivation in mice led to attenuated Ang II-induced aortic remodeling. CONCLUSIONS: Our results demonstrate a glycolysis-mediated positive feedback loop of the TGF-ß signaling to induce EndoMT and indicate that therapeutically targeting endothelial PFKFB3 or CtBP1 activity could provide a basis for treating EndoMT-linked aortic remodeling.

Synthesis and Screening of Chemical Agents Targeting Viral Protein Genome-Linked Protein of Telosma Mosaic Virus.

The viral protein genome-linked protein (VPg) of telosma mosaic virus (TeMV) plays an important role in viral reproduction. In this study, the expression conditions of TeMV VPg were explored. A series of novel benzenesulfonamide derivatives were synthesized. The binding sites of the target compounds and TeMV VPg were studied by molecular docking, and the interaction was verified by microscale thermophoresis. The study revealed that the optimal expression conditions for TeMV VPg were in Escherichia coli Rosetta with IPTG concentration of 0.8 mM and induction temperature of 25 °C. Compounds A4, A6, A9, A16, and A17 exhibited excellent binding affinity to TeMV VPg, with Kd values of 0.23, 0.034, 0.19, 0.086, and 0.22 µM, respectively. LYS 121 is the key amino acid site. Compounds A9 inhibited the expression of TeMV VPg in Nicotiana benthamiana. The results suggested that TeMV VPg is a potential antiviral target to screen anti-TeMV compounds.

PFKFB3-driven vascular smooth muscle cell glycolysis promotes vascular calcification via the altered FoxO3 and lactate production.

A link between increased glycolysis and vascular calcification has recently been reported, but it remains unclear how increased glycolysis contributes to vascular calcification. We therefore investigated the role of PFKFB3, a critical enzyme of glycolysis, in vascular calcification. We found that PFKFB3 expression was upregulated in calcified mouse VSMCs and arteries. We showed that expression of miR-26a-5p and miR-26b-5p in calcified mouse arteries was significantly decreased, and a negative correlation between Pfkfb3 mRNA expression and miR-26a-5p or miR-26b-5p was seen in these samples. Overexpression of miR-26a/b-5p significantly inhibited PFKFB3 expression in VSMCs. Intriguingly, pharmacological inhibition of PFKFB3 using PFK15 or knockdown of PFKFB3 ameliorated vascular calcification in vD3 -overloaded mice in vivo or attenuated high phosphate (Pi)-induced VSMC calcification in vitro. Consistently, knockdown of PFKFB3 significantly reduced glycolysis and osteogenic transdifferentiation of VSMCs, whereas overexpression of PFKFB3 in VSMCs induced the opposite effects. RNA-seq analysis and subsequent experiments revealed that silencing of PFKFB3 inhibited FoxO3 expression in VSMCs. Silencing of FoxO3 phenocopied the effects of PFKFB3 depletion on Ocn and Opg expression but not Alpl in VSMCs. Pyruvate or lactate supplementation, the product of glycolysis, reversed the PFKFB3 depletion-mediated effects on ALP activity and OPG protein expression in VSMCs. Our results reveal that blockade of PFKFB3-mediated glycolysis inhibits vascular calcification in vitro and in vivo. Mechanistically, we show that FoxO3 and lactate production are involved in PFKFB3-driven osteogenic transdifferentiation of VSMCs. PFKFB3 may be a promising therapeutic target for the treatment of vascular calcification.

Dihydromyricetin attenuates cisplatin-induced acute kidney injury by reducing oxidative stress, inflammation and ferroptosis.

BACKGROUND: Cisplatin is effective against various types of cancers. However, its clinical application is limited owing to its adverse effects, especially acute kidney injury (AKI). Dihydromyricetin (DHM), a flavonoid derived from Ampelopsis grossedentata, has varied pharmacological activities. This research aimed to determine the molecular mechanism for cisplatin-induced AKI. METHODS: A murine model of cisplatin-induced AKI (22 mg/kg, I.P.) and a HK-2 cell model of cisplatin-induced damage (30 µM) were established to evaluate the protective function of DHM. Renal dysfunction markers, renal morphology and potential signaling pathways were investigated. RESULTS: DHM decreased the levels of renal function biomarkers (blood urea nitrogen and serum creatinine), mitigated renal morphological damage, and downregulated the protein levels of kidney injury molecule-1 and neutrophil gelatinase-associated lipocalin. It upregulated the expression levels of antioxidant enzymes (superoxide dismutase and catalase expression), nuclear factor-erythroid-2-related factor 2 (Nrf2) and its downstream proteins, including heme oxygenase-1 (HO-1), glutamate-cysteine ligase catalytic (GCLC) and modulatory (GCLM) subunits, thus eventually reducing cisplatin-induced reactive oxygen species (ROS) production. Moreover, DHM partially inhibited the phosphorylation of the active fragments of caspase-8 and -3 and mitogen-activated protein kinase and restored glutathione peroxidase 4 expression, which attenuated renal apoptosis and ferroptosis in cisplatin-treated animals. DHM also mitigated the activation of NLRP3 inflammasome and nuclear factor (NF)-κB, attenuating the inflammatory response. In addition, it reduced cisplatin-induced HK-2 cell apoptosis and ROS production, both of which were blocked by the Nrf2 inhibitor ML385. CONCLUSIONS: DHM suppressed cisplatin-induced oxidative stress, inflammation and ferroptosis probably through regulating of Nrf2/HO-1, MAPK and NF-κB signaling pathways.

Potential mechanism of transient receptor potential cation channel subfamily V member 1 combined with an ATP­sensitive potassium channel in severe preeclampsia.

Severe preeclampsia is one of the most serious obstetric diseases. However, the pathogenesis of the disease is not fully understood. In the present study, placental artery and blood serum was collected from patients with severe preeclampsia, as well as from normal pregnant women. The results of reverse transcription-quantitative (q)PCR, western blotting, and immunohistochemical staining revealed markedly decreased transient receptor potential cation channel subfamily V member 1 (TRPV1), ATP-sensitive potassium channel (KATP) subtype Kir6.1/SUR2B and endothelial nitric oxide synthase (eNOS) expression in severe preeclampsia tissue specimens compared with those in samples from normal pregnant women. The nitrate reduction method indicated lower NO levels in the tissue specimens and serum of patients with severe preeclampsia. Moreover, hematoxylin-eosin staining showed that the endothelial cell layer in the placental artery of patients with severe preeclampsia was notably damaged. To investigate the potential role of TRPV1-KATP channels in severe preeclampsia, HUVECs were used for in vitro experiments. The samples were divided into a control group, a TRPV1 agonist group (capsaicin) and a TRPV1 inhibitor group (capsazepine). qPCR and western blotting revealed that the relative gene and protein expression levels of TRPV1, Kir6.1, SUR2B and eNOS in the control group were significantly lower than those in the capsaicin group and considerably higher than those in the capsazepine group. Based on previous studies and the results of the present study, we hypothesized that impairment of the endothelial TRPV1-KATP channels results in decreased eNOS/NO pathway activity, which may be one of the mechanisms involved in severe preeclampsia. The increase in NO generation mediated by TRPV1-KATP may be a suitable target for the management of severe preeclampsia.

A Graph Convolution Network-Based Model for Prioritizing Personalized Cancer Driver Genes of Individual Patients.

Cancer driver genes are mutated genes that play a key role in the growth of cancer cells. Accurately identifying the cancer driver genes helps us understand cancer's pathogenesis and develop effective treatment strategies. However, cancers are highly heterogeneous diseases; patients with the same cancer type may have different genomic characteristics and clinical symptoms. Hence, it is urgent to devise effective methods to identify personalized cancer driver genes of individual patients to help determine whether a patient can be treated with a certain targeted drug. This work presents a method for predicting personalized cancer Driver genes of individual patients based on Graph Convolution Networks and Neighbor Interactions called NIGCNDriver. NIGCNDriver first constructs a gene-sample association matrix using the associations between a sample and its known driver genes. Then, it employs graph convolution models on the gene-sample network to aggregate neighbor node features, and themself features, and then combines with the element-wise level interactions between neighbors to learn new feature representations for the samples and gene nodes. Finally, a linear correlation coefficient decoder is used to reconstruct the association between the sample and the mutant gene, enabling the prediction of a personalized driver gene for the individual sample. We applied the NIGCNDriver method to predict cancer driver genes for individual samples in the TCGA and cancer cell line datasets. The results show that our method outperforms the baseline methods in cancer driver gene prediction for individual samples.

Interaction of methionine sulfoxide reductase B5 with SlMYC2 stimulates the transcription of MeJA-mediated autophagy-related genes in tomato fruit.

Methyl jasmonate (MeJA) has been shown to induce autophagy in various plant stress responses and metabolic pathways. MYC2 is involved in MeJA-mediated postharvest fruit biological metabolism, but it is unclear how it affects MeJA-induced fruit autophagy. In this study, we noticed that silencing SlMYC2 significantly reduced the increase in autophagy-related genes (SlATGs) expression induced by MeJA. SlMYC2 could also bind to the promoters of several SlATGs, including SlATG13a, SlATG13b, SlATG18a, and SlATG18h, and activate their transcript levels. Moreover, SlMsrB5, a methionine sulfoxide reductase, could interact with SlMYC2. Methionine oxidation in SlMYC2 and mimicking sulfoxidation in SlMYC2 by mutation of methionine-542 to glutamine reduced the DNA-binding ability and transcriptional activity of SlMYC2, respectively. SlMsrB5 partially repaired oxidized SlMYC2 and restored its DNA-binding ability. On the other hand, silencing SlMsrB5 inhibited the transcript levels of SlMYC2-targeted genes (SlATG13a, SlATG13b, SlATG18a, and SlATG18h). Similarly, dual-luciferase reporter (DLR) analysis revealed that SlMsrB5-SlMYC2 interaction significantly increased the ability of SlMYC2-mediated transcriptional activation of SlATG13a, SlATG13b, SlATG18a, and SlATG18h. These findings demonstrate that SlMsrB5-mediated cyclic oxidation/reduction of methionine in SlMYC2 influences SlATGs expression. Collectively, these findings reveal the mechanism of SlMYC2 in SlATGs transcriptional regulation, providing insight into the mechanism of MeJA-mediated postharvest fruit quality regulation.

RA-DENet: Reverse Attention and Distractions Elimination Network for polyp segmentation.

To address the problems of polyps of different shapes, sizes, and colors, low-contrast polyps, various noise distractions, and blurred edges on colonoscopy, we propose the Reverse Attention and Distraction Elimination Network, which includes Improved Reverse Attention, Distraction Elimination, and Feature Enhancement. First, we input the images in the polyp image set, and use the five levels polyp features and the global polyp feature extracted from the Res2Net-based backbone as the input of the Improved Reverse Attention to obtain augmented representations of salient and non-salient regions to capture the different shapes of polyp and distinguish low-contrast polyps from background. Then, the augmented representations of salient and non-salient areas are fed into the Distraction Elimination to obtain the refined polyp feature without false positive and false negative distractions for eliminating noises. Finally, the extracted low-level polyp feature is used as the input of the Feature Enhancement to obtain the edge feature for supplementing missing edge information of polyp. The polyp segmentation result is output by connecting the edge feature with the refined polyp feature. The proposed method is evaluated on five polyp datasets and compared with the current polyp segmentation models. Our model improves the mDice to 0.760 on the most challenge dataset (ETIS).