AP-1 inhibitor induces ferroptosis via the PI3K/AKT pathway in multiple myeloma cells.

Multiple myeloma (MM) is an incurable malignancy of plasma cells that is sensitive to T-5224, an AP-1 inhibitor. Previous study indicated that T-5224 inhibits proliferation and induces apoptosis in MM cells. However, the high mortality cannot be fully explained. To date, no studies have investigated ferroptosis induced by T-5224 in MM. Therefore, we further investigated the mechanism by which T-5224 kills MM cells. We observed that T-5224 exhibits antimyeloma properties both in vitro and in vivo. T-5224-induced MM cell death was reversed by the ferroptosis-specific inhibitor ferropstatin-1 (Fer-1). The protein levels of the key ferroptosis regulators GPX4 and SLC7A11 were decreased by T-5224 in MM cells. Furthermore, T-5224 reduced the phosphorylation of PI3K and AKT signaling pathway components, ultimately causing MM cell death. Using 740 Y-P, a PI3K activator, and Fer-1, a ferroptosis inhibitor, we discovered that T-5224 induces ferroptosis through the PI3K/AKT pathway. Bortezomib (BTZ), an FDA-approved drug for MM treatment, can be administered in combination with other agents. We evaluated the synergistic effect of BTZ combined with AP-1 inhibitors on MM in vivo. Our findings provide a better theoretical basis for the potential mechanism of T-5224 and a new perspective on MM treatment.

NOX2-TRPM2 coupling promotes Zn2+ inhibition of complex III to exacerbate ROS production in a cellular model of Parkinson's disease.

Reactive oxygen species (ROS) serve vital physiological functions, but aberrant ROS production contributes to numerous diseases. Unfortunately, therapeutic progress targeting pathogenic ROS has been hindered by the limited understanding of whether the mechanisms driving pathogenic ROS differ from those governing physiological ROS generation. To address this knowledge gap, we utilised a cellular model of Parkinson's disease (PD), as an exemplar of ROS-associated diseases. We exposed SH-SY5Y neuroblastoma cells to the PD-toxin, MPP+ (1-methyl-4-phenylpyridinium) and studied ROS upregulation leading to cell death, the primary cause of PD. We demonstrate: (1) MPP+ stimulates ROS production by raising cytoplasmic Ca2+ levels, rather than acting directly on mitochondria. (2) To raise the Ca2+, MPP+ co-stimulates NADPH oxidase-2 (NOX2) and the Transient Receptor Potential Melastatin2 (TRPM2) channel that form a positive feedback loop to support each other's function. (3) Ca2+ exacerbates mitochondrial ROS (mtROS) production not directly, but via Zn2+. (4) Zn2+ promotes electron escape from respiratory complexes, predominantly from complex III, to generate mtROS. These conclusions are drawn from data, wherein inhibition of TRPM2 and NOX2, chelation of Ca2+ and Zn2+, and prevention of electron escape from complexes -all abolished the ability of MPP+ to induce mtROS production and the associated cell death. Furthermore, calcium ionophore mimicked the effects of MPP+, while Zn2+ ionophore replicated the effects of both MPP+ and Ca2+. Thus, we unveil a previously unrecognized signalling circuit involving NOX2, TRPM2, Ca2+, Zn2+, and complex III that drives cytotoxic ROS production. This circuit lies dormant in healthy cells but is triggered by pathogenic insults and could therefore represent a safe therapeutic target for PD and other ROS-linked diseases.

The Serum NLRP1 Level and Coronary Artery Calcification: From Association to Development of a Risk-Prediction Nomogram.

Background: To investigate the correlation between inflammasomes and coronary artery calcification (CAC), and develop and validating a nomogram for predicting the risk of CAC in patients with coronary artery disease (CAD). Methods: A total of 626 patients with CAD at the Affiliated Hospital of Xuzhou Medical University were enrolled in this study. The patients were divided into the calcification group and the non-calcification group based on the assessment of coronary calcification. We constructed a training set and a validation set through random assignment. The least absolute shrinkage and selection operator (LASSO) regression and multivariate analysis were performed to identify independent risk factors of CAC in patients with CAD. Based on these independent predictors, we developed a web-based dynamic nomogram prediction model. The area under the receiver operating characteristic curve (AUC-ROC), calibration curves, and decision curve analysis (DCA) were used to evaluate this nomogram. Results: Age, smoking, diabetes mellitus (DM), hyperlipidemia, the serum level of nucleotide-binding oligomerization domain (NOD)-like receptor protein 1 (NLRP1), alkaline phosphatase (ALP) and triglycerides (TG) were identified as independent risk factors of CAC. The AUC-ROC of the nomogram is 0.881 (95% confidence interval (CI): 0.850-0.912) in the training set and 0.825 (95% CI: 0.760-0.876) in the validation set, implying high discriminative ability. Satisfactory performance of this model was confirmed using calibration curves and DCA. Conclusions: The serum NLRP1 level is an independent predictor of CAC. We established a web-based dynamic nomogram, providing a more accurate estimation and comprehensive perspective for predicting the risk of CAC in patients with CAD.

Role of acupuncture in improving the outcome of sepsis-induced lung injury.

OBJECTIVE: The purpose of this study was to investigate the effect of serum exosomes of mice after acupuncture (acu-exo) on acute lung injury (ALI) in sepsis in vitro and in vivo. METHODS: Serum exosomes (acu-exo) of normal mice were prepared after acupuncture. Lipopolysaccharide (LPS) was used to establish the model of ALI in vivo and in vitro. Immunohistochemistry, western blot, and immunofluorescence were used to evaluate the mechanism of acu-exo on ALI. P2X7 knockout mice and P2X7 siRNA were used to verify the mechanism. RESULTS: Compared with normal mice, serum exosomes were significantly increased in normal mice after acupuncture. The results showed that P2X7 was increased in the lung of septic mice as compared with the WT group. It was also found that the increase in NLRP3 and NF-κB was accompanied by the activation of P2X7. Increased P2X7 led to activation of the P2X7 receptor causing mitochondrial dysfunctions in lung tissue of septic mice. Knockout of P2X7 or silenced P2X7 markedly decreased NLRP3 and NF-κB and led to mitochondrial function recovery in lung tissue of sepsis. At the same time, acu-exo significantly restored the above changes in the lung tissue of septic mice. CONCLUSIONS: Inhibition of P2X7 led to mitochondrial function recovery of lung tissue by inhibiting NLRP3 and NF-κB. At the same time, acu-exo could improve ALI by decreasing NLRP3 and NF-κB activation.

Immune mediated support of metastasis: Implication for bone invasion.

Bone is a common organ affected by metastasis in various advanced cancers, including lung, breast, prostate, colorectal, and melanoma. Once a patient is diagnosed with bone metastasis, the patient's quality of life and overall survival are significantly reduced owing to a wide range of morbidities and the increasing difficulty of treatment. Many studies have shown that bone metastasis is closely related to bone microenvironment, especially bone immune microenvironment. However, the effects of various immune cells in the bone microenvironment on bone metastasis remain unclear. Here, we described the changes in various immune cells during bone metastasis and discussed their related mechanisms. Osteoblasts, adipocytes, and other non-immune cells closely related to bone metastasis were also included. This review also summarized the existing treatment methods and potential therapeutic targets, and provided insights for future studies of cancer bone metastasis.

Impact of surgical compliance on survival prognosis of patients with ovarian cancer and associated influencing factors: A propensity score matching analysis of the SEER database.

Purpose: To evaluate the impact of surgical compliance on overall survival (OS) and cancer-specific survival (CSS) in ovarian cancer patients and identify factors influencing surgical compliance. Materials and methods: Data from patients with ovarian cancer in the SEER database (2004-2015) were analyzed to compare the characteristics of patients with high and low surgical compliance. Kaplan-Meier curves and Cox regression models were used to assess the impact of surgical compliance on survival outcomes. Nomograms incorporating surgical compliance and independent prognostic factors were constructed to predict OS and CSS and were validated using internal validation sets. Predictive accuracy was evaluated using Harrell's concordance index (C-index), decision curve analysis (DCA), receiver operating characteristic (ROC) curves, and calibration plots. Binary logistic regression analysis identified factors significantly affecting surgical compliance, and propensity score matching (PSM) was used to adjust for confounders. Results: Among the 41,859 patients, 783 (1.87 %) demonstrated poor surgical compliance, while 41,076 (98.13 %) exhibited good compliance. Surgical compliance has emerged as an independent prognostic indicator for ovarian cancer. Patients with high compliance had significantly better OS and CSS rates (P < 0.0001). The prognostic models were internally validated and showed strong discriminative and calibration capabilities. Factors affecting compliance included older age, advanced pathological stage, metastasis, elevated CA-125 levels, and lower income. After PSM, Kaplan-Meier analysis revealed significantly improved survival in patients with good compliance (P < 0.0001). Conclusion: Surgical compliance is a pivotal and independent predictor of overall and cancer-specific survival in patients undergoing OC. Factors contributing to lower surgical compliance include advanced age, later tumor stage, metastatic spread, elevated CA-125 levels, and reduced family income.

Icariin alleviates cisplatin-induced premature ovarian failure by inhibiting ferroptosis through activation of the Nrf2/ARE pathway.

Cisplatin is a widely used chemotherapeutic drug that can induce ovarian damage. Icariin (ICA), a natural antioxidant derived from Epimedium brevicornum Maxim., has been found to protect against organ injury. The aim of the present study was to investigate whether ICA can exert an ovarian-protective effect on cisplatin induced premature ovarian failure (POF) and the underlying mechanism involved. The preventive effect of ICA was evaluated using body weight, the oestrous cycle, ovarian histological analysis, and follicle counting. ICA treatment increased body weight, ovarian weight, and the number of follicles and improved the oestrous cycle in POF mice. ICA reduced cisplatin-induced oxidative damage and upregulated the protein expression levels of Nrf2, GPX4 and HO-1. Moreover, ICA reduced the expression levels of Bax and γH2AX and inhibited ovarian apoptosis. In addition, ICA activated the Nrf2 pathway in vitro and reversed changes in the viability of cisplatin-induced KGN cells, reactive oxygen species (ROS) levels, lipid peroxidation, and apoptosis, and these effects were abrogated when Nrf2 was knocked down or inhibited. Molecular docking confirmed that ICA promotes the release of Nrf2 by competing with Nrf2 for binding to Keap1. The inhibitory effects of ICA on cisplatin-induced oxidative stress, ferroptosis, and apoptosis may be mediated by its modulatory effects on the Nrf2 pathway, providing a novel perspective on the potential mechanisms by which ICA prevents POF.

An Optimal Spatio-Temporal Hybrid Model Based on Wavelet Transform for Early Fault Detection.

An optimal spatio-temporal hybrid model (STHM) based on wavelet transform (WT) is proposed to improve the sensitivity and accuracy of detecting slowly evolving faults that occur in the early stage and easily submerge with noise in complex industrial production systems. Specifically, a WT is performed to denoise the original data, thus reducing the influence of background noise. Then, a principal component analysis (PCA) and the sliding window algorithm are used to acquire the nearest neighbors in both spatial and time dimensions. Subsequently, the cumulative sum (CUSUM) and the mahalanobis distance (MD) are used to reconstruct the hybrid statistic with spatial and temporal sequences. It helps to enhance the correlation between high-frequency temporal dynamics and space and improves fault detection precision. Moreover, the kernel density estimation (KDE) method is used to estimate the upper threshold of the hybrid statistic so as to optimize the fault detection process. Finally, simulations are conducted by applying the WT-based optimal STHM in the early fault detection of the Tennessee Eastman (TE) process, with the aim of proving that the fault detection method proposed has a high fault detection rate (FDR) and a low false alarm rate (FAR), and it can improve both production safety and product quality.

Predictive value of MRI-based deep learning model for lymphovascular invasion status in node-negative invasive breast cancer.

To retrospectively assess the effectiveness of deep learning (DL) model, based on breast magnetic resonance imaging (MRI), in predicting preoperative lymphovascular invasion (LVI) status in patients diagnosed with invasive breast cancer who have negative axillary lymph nodes (LNs). Data was gathered from 280 patients, including 148 with LVI-positive and 141 with LVI-negative lesions. These patients had undergone preoperative breast MRI and were histopathologically confirmed to have invasive breast cancer without axillary LN metastasis. The cohort was randomly split into training and validation groups in a 7:3 ratio. Radiomics features for each lesion were extracted from the first post-contrast dynamic contrast-enhanced (DCE)-MRI. The Least Absolute Shrinkage and Selection Operator (LASSO) regression method and logistic regression analyses were employed to identify significant radiomic features and clinicoradiological variables. These models were established using four machine learning (ML) algorithms and one DL algorithm. The predictive performance of the models (radiomics, clinicoradiological, and combination) was assessed through discrimination and compared using the DeLong test. Four clinicoradiological parameters and 10 radiomic features were selected by LASSO for model development. The Multilayer Perceptron (MLP) model, constructed using both radiomic and clinicoradiological features, demonstrated excellent performance in predicting LVI, achieving a high area under the curve (AUC) of 0.835 for validation. The DL model (MLP-radiomic) achieved the highest accuracy (AUC = 0.896), followed by DL model (MLP-combination) with an AUC of 0.835. Both DL models were significantly superior to the ML model (RF-clinical) with an AUC of 0.720. The DL model (MLP), which integrates radiomic features with clinicoradiological information, effectively aids in the preoperative determination of LVI status in patients with invasive breast cancer and negative axillary LNs. This is beneficial for making informed clinical decisions.

Global health diplomacy in humanitarian action.

This commentary explores the intersection of Global Health Diplomacy (GHD) and humanitarian action within Fragility, Conflict, and Violence (FCV) contexts. It aims at addressing the multifaceted challenges faced by communities living in these environments, where a convergence of multiple factors, including over 110 active armed conflicts, creates complex emergencies impact on large populations globally. This commentary holds three primary significances: 1)  it scrutinizes the profound and enduring health consequences of major humanitarian crises on last-mile populations, highlighting the pivotal role of health diplomacy for better navigating humanitarian challenges; 2) it advocates for a paradigm shift in humanitarian approaches, recognizing GHD's potential in shaping international cooperation, building consensus on inclusive global health policies, and enabling more effective interventions; 3) it underscores the operational impact of health diplomacy, both at diplomatic tables and on the frontlines of humanitarian efforts. Through real-world cases such as the cholera outbreak in Yemen and the response to Ebola outbreaks in DRC, the paper illustrates how diplomatic dialogue can impact health outcomes in fragile settings.

The Relationship Between the Serum NLRP3 and Adiponectin Levels and Coronary Lesions in Patients with Unstable Angina with Type 2 Diabetes.

Objective: To investigate the Levels of Nucleotide-binding, leucine-rich repeat and pyrin domain-containing protein 3 (NLRP3) and Adiponectin (APN) and their relationship with the severity of coronary artery disease in patients with Unstable Angina (UA) and Type 2 Diabetes (T2D). Methods: Two hundred and thirty-one patients with UA were diagnosed by CAG in the Department of Cardiology of the Affiliated Hospital of Xuzhou Medical University from July 2022 to May 2023 were included, and 74 healthy subjects were included as the control group. The levels of NLRP3 and APN in each group were detected by ELISA and the Gensini score in each patient according to the results of CAG. The correlations between NLRP3, APN, and Gensini score were analyzed. According to whether complicated with T2D or not, we further analyze the effect of NLRP3 and APN levels of patients with UA and T2D on the severity of coronary artery stenosis. Results: The levels of NLRP3 in UA with T2D group were the highest, followed by simple UA group, and the lowest in the control group, and the level of APN was the opposite. Spearman Correlation analysis showed that the level of NLRP3 was positively correlated with Gensini score (ρ1=0.688, P<0.05) and the level of APN was negatively associated with Gensini score (ρ2= -0.515, P<0.05). There was a negative correlation between NLRP3 and the level of APN (ρ3= -0.366, P<0.05). High NLRP3 and low APN levels are the risk factors for atherosclerosis. Conclusion: The NLRP3 and APN were abnormally expressed in patients with UA complicated with T2D. With the aggravation of atherosclerosis, the level of NLRP3 increased and the level of APN decreased.

Maternal administration of APAP induces angiogenesis disorders in mouse placenta via SOCS3/JAK1/STAT3 pathway.

Acetaminophen (APAP, also known as paracetamol) is a commonly used antipyretic and analgesic that is considered safe to use during pregnancy. However, a growing body of research indicates that gestational administration of APAP increased the risk of neurodevelopmental, reproductive and genitourinary disorders in offspring, alongside impairments in placental development. Notably, over-dosed APAP exhibits direct toxicity to endothelial cells, but there is very limited research investigating the impact of APAP on placental angiogenesis, a gap we aim to address in this study. Pregnant mice were gavaged with APAP (15, 50 and 150 mg/kg/d) from embryonic day 11.5 (E11.5) to E13.5. Administration of 150 mg/kg/d APAP leads to low birth weight (LBW) of the offspring and disordered vascular structures within the labyrinthine (Lab) layer of the placenta. This disruption is accompanied by a significant increase in Suppressor of Cytokine Signaling 3 (SOCS3) level, a negative regulator of the Janus kinase signal transducer 1 and activator of the transcription 3 (JAK1/STAT3) signaling. Meanwhile, Human umbilical vein endothelial Cells (HUVECs) with the treatment of 3 mM APAP exhibited reduced cell viability, whereas 1 mM APAP significantly affected the proliferation, migration, invasion and angiogenic capacities of HUVECs. Further, SOCS3 was up-regulated in HUVECs, accompanied by inhibition of JAK1/STAT3 pathways. Knocking-down SOCS3 in HUVECs restored the nuclear translocation of STAT3 and efficiently promoted cellular capacity of tube formation. Overall, short-term maternal administration of overdosed APAP impairs angiogenic capacities of fetal endothelial cells via SOCS3/JAK1/STAT3 pathway in the mouse placenta. This study reveals that overdose of APAP during pregnancy may adversely affect placental angiogenesis, emphasizing the importance of adhering to the safe principles of smallest effective dose for the shortest required durations.

Radiomics analysis using magnetic resonance imaging of bone marrow edema for diagnosing knee osteoarthritis.

This study aimed to develop and validate a bone marrow edema model using a magnetic resonance imaging-based radiomics nomogram for the diagnosis of osteoarthritis. Clinical and magnetic resonance imaging (MRI) data of 302 patients with and without osteoarthritis were retrospectively collected from April 2022 to October 2023 at Longhua Hospital affiliated with the Shanghai University of Traditional Chinese Medicine. The participants were randomly divided into two groups (a training group, n = 211 and a testing group, n = 91). We used logistic regression to analyze clinical characteristics and established a clinical model. Radiomics signatures were developed by extracting radiomic features from the bone marrow edema area using MRI. A nomogram was developed based on the rad-score and clinical characteristics. The diagnostic performance of the three models was compared using the receiver operating characteristic curve and Delong's test. The accuracy and clinical application value of the nomogram were evaluated using calibration curve and decision curve analysis. Clinical characteristics such as age, radiographic grading, Western Ontario and McMaster Universities Arthritis Index score, and radiological features were significantly correlated with the diagnosis of osteoarthritis. The Rad score was constructed from 11 radiological features. A clinical model was developed to diagnose osteoarthritis (training group: area under the curve [AUC], 0.819; testing group: AUC, 0.815). Radiomics models were used to effectively diagnose osteoarthritis (training group,: AUC, 0.901; testing group: AUC, 0.841). The nomogram model composed of Rad score and clinical characteristics had better diagnostic performance than a simple clinical model (training group: AUC, 0.906; testing group: AUC, 0.845; p < 0.01). Based on DCA, the nomogram model can provide better diagnostic performance in most cases. In conclusion, the MRI-bone marrow edema-based radiomics-clinical nomogram model showed good performance in diagnosing early osteoarthritis.

The Clinical Impact of Refined Nursing Intervention on Severe Neonatal Pneumonia Accompanied by Respiratory Failure.

Background: Neonatal pneumonia is a common respiratory disease in the neonatal period, often accompanied by respiratory failure. In addition to timely treatment, effective nursing is essential. Objective: We attempted to determine the clinical effect of refined nursing applied to the nursing of patients with severe neonatal pneumonia accompanied by respiratory failure. Design: This was a randomized controlled study. Setting: This study was performed in the Neonatal Department, The First Hospital of China Medical University. Participants: A total of 60 newborns with severe pneumonia and respiratory failure diagnosed and treated in the neonatal intensive care unit of our hospital between January 2022 and December 2022 were selected and assigned to either the control group (CG) or the experimental group (EG) based on the random number table method, with 30 patients in each group. Interventions: The CG received conventional nursing intervention and the EG received refined nursing intervention. Primary Outcome Measures: (1) Symptom improvement time; (2) blood gas indicators; (3) vital signs; (4) complication occurrence rate and (5) nursing satisfaction. Results: The improvement time of cough, shortness of breath and wheezing in the EG was decreased compared with the CG (P < .05). After nursing, the EG exhibited higher partial arterial oxygen pressure and blood oxygen saturation levels and lower partial arterial carbon dioxide pressure relative to the control group (P < .05). After nursing, the heart and respiratory rates in both groups were decreased compared with before nursing, and in the EG group were decreased in comparison with the CG (P < .05). The incidence of adverse events in the EG was lower in comparison with the CG (P < .05). Nursing satisfaction in the EG was higher compared with the CG. Conclusion: The application of refined nursing in the clinical nursing of patients with neonatal pneumonia accompanied by respiratory failure can facilitate improvement in their condition, improve blood gas indicators and vital signs and prevent adverse events.

Evaluating the role of DNA methyltransferases in trophoblast fusion and preeclampsia development: Insights from methylation-regulated genes.

The etiology of preeclampsia (PE), a complex and multifactorial condition, remains incompletely understood. DNA methylation, which is primarily regulated by three DNA methyltransferases (DNMTs), DNMT1, DNMT3A, and DNMT3B, plays a vital role in early embryonic development and trophectoderm differentiation. Yet, how DNMTs modulate trophoblast fusion and PE development remains unclear. In this study, we found that the DNMTs expression was downregulated during trophoblast cells fusion. Downregulation of DNMTs was observed during the reconstruction of the denuded syncytiotrophoblast (STB) layer of placental explants. Additionally, overexpression of DNMTs inhibited trophoblast fusion. Conversely, treatment with the DNA methylation inhibitor 5-aza-CdR decreased the expression of DNMTs and promoted trophoblast fusion. A combined analysis of DNA methylation data and gene transcriptome data obtained from the primary cytotrophoblasts (CTBs) fusion process identified 104 potential methylation-regulated differentially expressed genes (MeDEGs) with upregulated expression due to DNA demethylation, including CD59, TNFAIP3, SDC1, and CDK6. The transcription regulation region (TRR) of TNFAIP3 showed a hypomethylation with induction of 5-aza-CdR, which facilitated CREB recruitment and thereby participated in regulating trophoblast fusion. More importantly, clinical correlation analysis of PE showed that the abnormal increase in DNMTs may be involved in the development of PE. This study identified placental DNA methylation-regulated genes that may contribute to PE, offering a novel perspective on the role of epigenetics in trophoblast fusion and its implication in PE development.

Gypenoside L inhibits hepatocellular carcinoma by targeting the SREBP2-HMGCS1 axis and enhancing immune response.

Hepatocellular carcinoma (HCC) is a malignant tumor that occurs in the liver, with a high degree of malignancy and relatively poor prognosis. Gypenoside L has inhibitory effects on liver cancer cells. However, its mechanism of action is still unclear. This study aims to investigate the inhibitory effects of gypenoside L on HCC in vitro and in vivo, and explore its potential mechanisms. The results showed that gypenoside L reduced the cholesterol and triglyceride content in HepG2 and Huh-7 cells, inhibited cell proliferation, invasion and metastasis, arrested cell cycle at G0/G1 phase, promoted cell apoptosis. Mechanistically, it targeted the transcription factor SREPB2 to inhibit the expression of HMGCS1 protein and inhibited the downstream proteins HMGCR and MVK, thereby regulating the mevalonate (MVA) pathway. Overexpression HMGCS1 led to significant alterations in the cholesterol metabolism pathway of HCC, which mediated HCC cell proliferation and conferred resistance to the therapeutic effect of gypenoside L. In vivo, gypenoside L effectively suppressed HCC growth in tumor-bearing mice by reducing cholesterol production, exhibiting favorable safety profiles and minimal toxic side effects. Gypenoside L modulated cholesterol homeostasis, enhanced expression of inflammatory factors by regulating MHC I pathway-related proteins to augment anticancer immune responses. Clinical samples from HCC patients also exhibited high expression levels of MVA pathway-related genes in tumor tissues. These findings highlight gypenoside L as a promising agent for targeting cholesterol metabolism in HCC while emphasizing the effectiveness of regulating the SREBP2-HMGCS1 axis as a therapeutic strategy.

Perfluorooctane sulfonate promotes the migration of colorectal cancer cells by inducing epithelial-mesenchymal transition.

The potential association between colorectal cancer (CRC) and environmental pollutants is worrisome. Previous studies have found that some perfluoroalkyl acids, including perfluorooctane sulfonate (PFOS), induced colorectal tumors in experimental animals and promoted the migration of and invasion by CRC cells in vitro, but the underlying mechanism is unclear. Here, we investigated the effects of PFOS on the proliferation and migration of CRC cells and the potential mechanisms involving activating the PI3K/Akt-NF-κB signal pathway and epithelial-mesenchymal transition (EMT). It was found that PFOS promoted the growth and migration of HCT116 cells at non-cytotoxic concentrations and increased the mRNA expression of the migration-related angiogenic cytokines vascular endothelial growth factor (VEGF) and interleukin-8 (IL-8). In a mechanistic investigation, the up-stream signal pathway PI3K/Akt-NF-κB was activated by PFOS, and the process was suppressed by LY294002 (PI3K/Akt inhibitor) and BAY11-7082 (NF-κB inhibitor) respectively, leading to less proliferation of HCT116 cells. Furthermore, matrix metalloproteinases (MMP) and EMT-related markers were up-regulated after PFOS exposure, and were also suppressed respectively by LY294002 and BAY11-7082. Moreover, the up-regulation of EMT markers was suppressed by a MMP inhibitor GM6001. Taken together, our results indicated that PFOS promotes colorectal cancer cell migration and proliferation by activating the PI3K/Akt-NF-κB signal pathway and epithelial-mesenchymal transition. This could be a potential toxicological mechanism of PFOS-induced malignant development of colorectal cancer.

Nitrogenous fertilizer plays a more important role than cultivars in shaping sorghum-associated microbiomes.

The plant microbiome plays a crucial role in facilitating plant growth through enhancing nutrient cycling, acquisition and transport, as well as alleviating stresses induced by nutrient limitations. Despite its significance, the relative importance of common agronomic practices, such as nitrogenous fertilizer, in shaping the plant microbiome across different cultivars remains unclear. This study investigated the dynamics of bacterial and fungal communities in leaf, root, rhizosphere, and bulk soil in response to nitrogenous fertilizer across ten sorghum varieties, using 16S rRNA and ITS gene amplicon sequencing, respectively. Our results revealed that nitrogen addition had a greater impact on sorghum-associated microbial communities compared to cultivar. Nitrogen addition significantly reduced bacterial diversity in all compartments except for the root endophytes. However, N addition significantly increased fungal diversity in both rhizosphere and bulk soils, while significantly reducing fungal diversity in the root endophytes. Furthermore, N addition significantly altered the community composition of bacteria and fungi in all four compartments, while cultivars only affected the community composition of root endosphere bacteria and fungi. Network analysis revealed that fertilization significantly reduced microbial network complexity and increased fungal-related network complexity. Collectively, this study provides empirical evidence that sorghum-associated microbiomes are predominantly shaped by nitrogenous fertilizer rather than by cultivars, suggesting that consistent application of nitrogenous fertilizer will ultimately alter plant-associated microbiomes regardless of cultivar selection.

Identification and Validation of Tumor Microenvironment-Associated Signature in Clear-Cell Renal Cell Carcinoma through Integration of DNA Methylation and Gene Expression.

The tumor microenvironment (TME) is crucial in tumor development, metastasis, and response to immunotherapy. DNA methylation can regulate the TME without altering the DNA sequence. However, research on the methylation-driven TME in clear-cell renal cell carcinoma (ccRCC) is still lacking. In this study, integrated DNA methylation and RNA-seq data were used to explore methylation-driven genes (MDGs). Immune scores were calculated using the ESTIMATE, which was employed to identify TME-related genes. A new signature connected with methylation-regulated TME using univariate, multivariate Cox regression and LASSO regression analyses was developed. This signature consists of four TME-MDGs, including AJAP1, HOXB9, MYH14, and SLC6A19, which exhibit high methylation and low expression in tumors. Validation was performed using qRT-PCR which confirmed their downregulation in ccRCC clinical samples. Additionally, the signature demonstrated stable predictive performance in different subtypes of ccRCC. Risk scores are positively correlated with TMN stages, immune cell infiltration, tumor mutation burden, and adverse outcomes of immunotherapy. Interestingly, the expression of four TME-MDGs are highly correlated with the sensitivity of first-line drugs in ccRCC treatment, especially pazopanib. Molecular docking indicates a high affinity binding between the proteins and pazopanib. In summary, our study elucidates the comprehensive role of methylation-driven TME in ccRCC, aiding in identifying patients sensitive to immunotherapy and targeted therapy, and providing new therapeutic targets for ccRCC treatment.