Association of breakfast, total diet quality, and mental health in adolescents: a cross-sectional study of HBSC in Greece.

The emerging field of nutritional psychiatry offers proof that diet quality can be changed to reduce one's risk of developing mental illness. What you eat has a big impact on teenage mental health, and the quality and frequency of breakfast, as well as the different food groups, can affect adolescent mental health. In this study, regression models were employed to analyze four indicators (self-rated health, body satisfaction, life satisfaction, and eight symptoms) of mental health problems as well as demographic factors (gender, age, body mass index, affluence class, physical activity), with forest plots displaying the regression connections. This study, a descriptive cross-sectional survey of 3480 adolescents aged 11 to 15 years, chosen data from the 2018 Greek Health Behaviour in School-aged Children (HBSC) International Study for secondary analysis. The data revealed that high levels of four indicators of mental health (self-rated health, body satisfaction, life satisfaction, and eight symptoms) were significantly related to breakfast quality, total dietary patterns. Students reporting poor total food quality, for example, were more predictive of self-assessment when unhealthy (2.286 95% CI 1.851-2.824), and the largest connections with eating a "bad" breakfast were discovered when the eight symptoms of mental status were the worst (- 0.869 95% CI: - 1.300, - 0.439); physical activity may enhance the positive relationship of diet quality on mental health, while obesity weakens this positive relationship; and age patterns varied by gender, with girls and older individuals showing a higher risk of diet quality and mental health.   Conclusions: The findings revealed that each of the four indices of general mental health was correlated with teenage breakfast and overall diet quality. Physical activity and weight were shown to be moderating factors, and obesity had the biggest impact on psychological risk. Gender, age, and family economic inequality were potential explanations for the rise in psychological symptoms. Researchers are urged to focus more on nutritional psychiatry research and look into psychological perception disparities in the future. What is Known: • There is a potential correlation between adolescent dietary patterns or quality and mental health. • Factors such as age, gender, socio-economic status, body weight and physical activity all have an impact on diet and mental health outcomes. What is New: • There have been no studies of the ability to simultaneously predict breakfast quality and overall diet quality for broadly defined mental health complaints [positive (life satisfaction), neutral (body satisfaction, self-rated health) and negative (eight symptoms: depressed mood, irritability, nervousness, difficulty sleeping, dizziness, headache, stomachache and backache)]. • Differences in overall diet quality trends between demographic subgroups remain unclear.

E3 Ligase SCFßTrCP-induced DYRK1A Protein Degradation Is Essential for Cell Cycle Progression in HEK293 Cells.

DYRK1A, located on the Down syndrome (DS) critical region of chromosome 21, was found to be overexpressed in brains of DS and Alzheimer's disease individuals. DYRK1A was considered to play important roles in the pathogenesis of DS and Alzheimer's disease; however, the degradation mechanism of DYRK1A was still unclear. In this study, we found that DYRK1A was degraded through the ubiquitin-proteasome pathway in HEK293 cells. The N terminus of DYRK1A that was highly unstable in HEK293 cells contributed to proteolysis of DYRK1A. E3 ligase SCFßTrCP mediated ubiquitination and promoted degradation of DYRK1A through an unconserved binding motif (49SDQQVSALS57) lying in the N terminus. Any Ser-Ala substitution in this motif could decrease the binding between DYRK1A and ß-transducin repeat containing protein (ßTrCP), resulting in stabilization of DYRK1A. We also found DYRK1A protein was elevated in the G0/G1 phase and decreased in the S and G2/M phase, which was negatively correlated to ßTrCP levels in the HEK293 cell cycle. Knockdown of ßTrCP caused arrest of the G0/G1 phase, which could be partly rescued by down-regulation of DYRK1A. Our study uncovered a new regulatory mechanism of DYRK1A degradation by SCFßTrCP in HEK293 cell cycle progression.

MMP11 and MMP17 are potential biomarkers for uterine corpus endometrial carcinoma prognosis.

BACKGROUND: Matrix metalloproteinases (MMP) are important proteases that degrade the extracellular matrix (ECM) and thus essentially mediate tumor vascularization, metastasis, and invasion. However, their potential roles in uterine corpus endometrial carcinoma (UCEC) are not fully understood. PATIENTS AND METHODS: The expression, prognostic value, and correlation of UCEC patients with MMP were investigated using data from The Cancer Genome Atlas (TCGA) and other databases. Furthermore, differentially expressed genes (DEGs) were identified and their biological functions and correlations with infiltrating immune cells were analyzed. RESULTS: A total of 22 MMPs were found to be abnormally expressed in UCEC tumor tissues, and high expression of MMP11 and MMP17 were associated with a better UCEC prognosis. MMP11 and MMP17 were observed to be significantly enriched in tumor tissue ECM and were associated with pathways involving degradation, glycolytic metabolism, and PI3K-Akt signaling. Infiltration of natural killer (NK), mast, and NK CD56bright cells was enhanced in tumor tissues with high MMP11 and MMP17 expression. CONCLUSION: MMP11 and MMP17 may affect UCEC prognosis by influencing immune cell infiltration and may be potential UCEC biomarkers.

Predictive modeling of perioperative blood transfusion in lumbar posterior interbody fusion using machine learning.

Background: Accurate estimation of perioperative blood transfusion risk in lumbar posterior interbody fusion is essential to reduce the number, cost, and complications associated with blood transfusions. Machine learning algorithms have the potential to outperform traditional prediction methods in predicting perioperative blood transfusion. This study aimed to construct a machine learning-based perioperative transfusion risk prediction model for lumbar posterior interbody fusion in order to improve the efficacy of surgical decision-making. Methods: We retrospectively collected clinical data on 1905 patients who underwent lumbar posterior interbody fusion surgery at the Second Hospital of Shanxi Medical University between January 2021 and March 2023. All the data was randomly divided into a training set and a validation set, and the "feature_importances" method provided by eXtreme Gradient Boosting (XGBoost) algorithm was applied to select statistically significant features on the training set to establish five machine learning prediction models. The optimal model was identified by utilizing the area under the curve (AUC) and the probability calibration curve on the validation set. Shapley additive explanations (SHAP) and local interpretable model-agnostic explanations (LIME) were employed for interpretable analysis of the optimal model. Results: In the postoperative outcomes of patients, the number of hospital days in the transfusion group was longer than that in the non-transfusion group. Additionally, the transfusion group experienced higher total hospital costs, 90-day readmission rates, and complication rates within 90 days after surgery than the non-transfusion group. A total of 9 features were selected for the models. The XGBoost model performed best with an AUC value of 0.958. The SHAP values showed that intraoperative blood loss, intraoperative fluid infusion, and number of fused segments were the top 3 most important features affecting perioperative blood transfusion in lumbar posterior interbody fusion. The LIME algorithm was used to interpret the individualized prediction. Conclusion: Surgery, ASA class, levels fused, total intraoperative blood loss, operative time, and preoperative Hb are viable predictors of perioperative blood transfusion in lumbar posterior interbody fusion. The XGBoost model has demonstrated superior predictive efficacy compared to the traditional logistic regression model, making it a more effective decision-making tool for perioperative blood transfusion.

Anticancer Effect of Active Component of Astragalus Membranaceus Combined with Olaparib on Ovarian Cancer Predicted by Network-Based Pharmacology.

In China, a traditional Chinese medicine formulation called astragalus membranaceus (AM) has been utilised for more than 20 years to treat tumors with extraordinary effectiveness. The fundamental mechanisms, nevertheless, are still not well understood. The aim of this study is identifying its possible therapeutic targets and to evaluate the effects of AM in combination with a PARP inhibitor (olaparib) in the treatment of BRCA wild-type ovarian cancer. Significant genes were collected from Therapeutic Target Database and Database of Gene-Disease Associations. The components of AM were analyzed using the Traditional Chinese Medicine System Pharmacology (TCMSP) database to screen the active ingredients of AM based on their oral bioavailability and drug similarity index. In order to find intersection targets, Venn diagrams and STRING website diagrams were employed. STRING was also used to create a protein-protein interaction network. In order to create the ingredient-target network, Cytoscape 3.8.0 was used. DAVID database was utilized to carry out enrichment and pathway analyses. The binding ability of the active compounds of AM to the core targets of AM-OC was verified with molecular docking using AutoDock software. Experimental validations, including cell scratch, cell transwell, cloning experiment, were conducted to verify the effects of AM on OC cells. A total of 14 active ingredients of AM and 28 AM-OC-related targets were screened by network pharmacology analysis. The ten most significant Gene Ontology (GO) biological function analyses, as well as the 20 foremost Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment pathways were selected. Moreover, molecular docking results showed that bioactive compound (quercetin) demonstrated a good binding ability with tumor protein p53 (TP53), MYC, vascular endothelial growth factor A (VEGFA), phosphatase and tensin homolog (PTEN), AKT serine/threonine kinase 1 (AKT1) and cyclin D1 (CCND1) oncogenes. According to experimental methods, in vitro OC cell proliferation and migration appeared to be inhibited by quercetin, which also increased apoptosis. In addition, the combination with olaparib further enhanced the effect of quercetin on OC. Based on network pharmacology, molecular docking, and experimental validation, the combination of PARP inhibitor and quercetin enhanced the anti-proliferative activity in BRCA wild-type ovarian cancer cells, which supplies the theoretical groundwork for additional pharmacological investigation.

Progress of immunotherapies in gestational trophoblastic neoplasms.

BACKGROUND: Different from other malignant gynecologic tumors, gestational trophoblastic neoplasms (GTNs) exhibit an exceptionally high cure rate primarily through chemotherapeutic interventions. However, there exists a small subset of refractory GTNs that do not respond to conventional chemotherapies. In such cases, the emergence of immunotherapies has demonstrated significant benefits in managing various challenging GTNs. PURPOSE: This article aims to provide a comprehensive and systematic review of the immune microenvironment and immunotherapeutic approaches for GTNs. The purpose is to identify potential biomarkers that could enhance disease management and summarize the available immunotherapies for ease of reference. METHODS: We reviewed the relevant literatures toward immunotherapies of GTNs from PubMed. CONCLUSION: Current immunotherapeutic strategies for GTNs mainly revolve around immune checkpoint inhibitors (ICIs) targeting programmed death receptor 1 (PD-1) and programmed cell death ligand 1 (PD-L1). Prominent examples include avelumab, pembrolizumab, and camrelizumab. However, existing researches into the underlying mechanisms are still limited.

Apoptotic cell death induced by Z-Ligustilidein human ovarian cancer cells and role of NRF2.

Z-Ligustilide is the most potent bioactive component of Angelica sinensis, which is widely used in Chinese traditional medicine. Z-Ligustilide selectively affected ovarian cancer cell survival in a dose dependent manner. Z-Ligustilide induced apoptotic cell death was determined by flow cytometry. We also demonstrated that apoptotic cell death was triggered by Z-Ligustilideinduced oxidative stress and mitochondria played an active role. Mitochondrial polarization was reduced by Z-Ligustilidewhereas mitochondrial superoxide formation was increased. NRF2 was induced by Z-Ligustilide in OVCAR-3 cells at epigenetic level and its downstream antioxidant defense genesHeme oxygenase-1,NAD(P)H Quinone Dehydrogenase 1, UDP Glucuronosyltransferase Family 1 Member A1and Glutamate-Cysteine Ligase. NRF2 knockdown by siRNA resulted increased cell death by Z-Ligustilide in ovarian cancer cells. Our result demonstrated the pro-survival role of NRF2 in Z-Ligustilide induced ovarian cancer cell death.

Cyanidin ameliorates endotoxin-induced myocardial toxicity by modulating inflammation and oxidative stress through mitochondria and other factors.

Cyanidin, an anthocyanin pigment, demonstrates anti-oxidant and anti-inflammatory properties. Here, we examined the mechanistic role of cyanidin in endotoxin induced myocardial injury in inflammation and oxidative stress. In lipopolysaccharide (LPS) induced myocardial injury model, cyanidin ameliorated cardiac injury (Lactate dehydrogenase or LDH, Creatine Kinase or CK, cardiac troponin I or cTnI and cardiac myosin light chains 1 or cMLC1), cell death (caspase 3 activity and PARP activity), and improved cardiac function (ejection fraction or EF and end diastolic left ventricular inner dimension or LVID). Cyanidin also attenuated endotoxin induced myocardial injury by modulating inflammatory cytokines (Tumor necrosis factor alpha or TNFα, Interleukin-1 beta or IL-1ß, macrophage inflammatory protein 2 or MIP-2 and chemokine (C-C motif) ligand 2 also known as monocyte chemoattractant protein 1 or MCP1) and oxidative stress (protein nitration). Cyanidin modulated redox homeostasis through intracellular oxidized/reduced glutathione. The most striking properties of cyanidin in endotoxin induced mediated myocardial injury was the modulation of mitochondria, its oxidative damage and associated factor Opa1 and Trx1. Thus, our study demonstrated that cyanidin as a constituent of our food chain may be beneficial and has therapeutic potential in sepsis treatment or other myocardial oxidative and/or inflammation induced injuries.

Apigenin Alleviates Endotoxin-Induced Myocardial Toxicity by Modulating Inflammation, Oxidative Stress, and Autophagy.

Apigenin, a component in daily diets, demonstrates antioxidant and anti-inflammatory properties. Here, we intended to explore the mechanism of apigenin-mediated endotoxin-induced myocardial injury and its role in the interplay among inflammation, oxidative stress, and autophagy. In our lipopolysaccharide- (LPS-) induced myocardial injury model, apigenin ameliorated cardiac injury (lactate dehydrogenase (LDH) and creatine kinase (CK)), cell death (TUNEL staining, DNA fragmentation, and PARP activity), and tissue damage (cardiac troponin I (cTnI) and cardiac myosin light chain-1 (cMLC1)) and improved cardiac function (ejection fraction (EF) and end diastolic left ventricular inner dimension (LVID)). Apigenin also alleviated endotoxin-induced myocardial injury by modulating oxidative stress (nitrotyrosine and protein carbonyl) and inflammatory cytokines (TNF-α, IL-1ß, MIP-1α, and MIP-2) along with their master regulator NFκB. Apigenin modulated redox homeostasis, and its anti-inflammatory role might be associated with its ability to control autophagy. Autophagy (determined by LAMP1, ATG5, and p62), its transcriptional regulator transcription factor EB (TFEB), and downstream target genes including vacuolar protein sorting-associated protein 11 (Vps11) and microtubule-associated proteins 1A/1B light chain 3B (Map1lc3) were modulated by apigenin. Thus, our study demonstrated that apigenin may lead to potential development of new target in sepsis treatment or other myocardial oxidative and/or inflammation-induced injuries.

Role of TFEB Mediated Autophagy, Oxidative Stress, Inflammation, and Cell Death in Endotoxin Induced Myocardial Toxicity of Young and Aged Mice.

Elderly patients are susceptible to sepsis. LPS induced myocardial injury is a widely used animal model to assess sepsis induced cardiac dysfunction. The age dependent mechanisms behind sepsis susceptibility were not studied. We analyzed age associated changes to cardiac function, cell death, inflammation, oxidative stress, and autophagy in LPS induced myocardial injury. Both young and aged C57BL/6 mice were used for LPS administration. The results demonstrated that LPS induced more cardiac injury (creatine kinase, lactate dehydrogenase, troponin I, and cardiac myosin-light chains 1), cardiac dysfunction (left ventricular inner dimension, LVID, and ejection fraction (EF)), cell death, inflammation, and oxidative stress in aged mice compared to young mice. However, a significant age dependent decline in autophagy was observed. Translocation of Transcription Factor EB (TFEB) to nucleus and formation of LC3-II were significantly reduced in LPS administered aged mice compared to young ones. In addition to that, downstream effector of TFEB, LAMP-1, was induced in response to LPS challenge in young mice. The present study newly demonstrates that TFEB mediated autophagy is crucial for protection against LPS induced myocardial injury particularly in aging senescent heart. Targeting this autophagy-oxidative stress-inflammation-cell death axis may provide a novel therapeutic strategy for cardioprotection in the elderly.

Apoptotic Cell Death Induced by Resveratrol Is Partially Mediated by the Autophagy Pathway in Human Ovarian Cancer Cells.

Resveratrol (trans-3,4,5'-trihydroxystilbene) is an active compound in food, such as red grapes, peanuts, and berries. Resveratrol exhibits an anticancer effect on various human cancer cells. However, the mechanism of resveratrol-induced anti-cancer effect at the molecular level remains to be elucidated. In this study, the mechanism underlying the anti-cancer effect of resveratrol in human ovarian cancer cells (OVCAR-3 and Caov-3) was investigated using various molecular biology techniques, such as flow cytometry, western blotting, and RNA interference, with a major focus on the potential role of autophagy in resveratrol-induced apoptotic cell death. We demonstrated that resveratrol induced reactive oxygen species (ROS) generation, which triggers autophagy and subsequent apoptotic cell death. Resveratrol induced ATG5 expression and promoted LC3 cleavage. The apoptotic cell death induced by resveratrol was attenuated by both pharmacological and genetic inhibition of autophagy. The autophagy inhibitor chloroquine, which functions at the late stage of autophagy, significantly reduced resveratrol-induced cell death and caspase 3 activity in human ovarian cancer cells. We also demonstrated that targeting ATG5 by siRNA also suppressed resveratrol-induced apoptotic cell death. Thus, we concluded that a common pathway between autophagy and apoptosis exists in resveratrol-induced cell death in OVCAR-3 human ovarian cancer cells.

MMP11 and MMP17 are potential biomarkers for uterine corpus endometrial carcinoma prognosis

Background Matrix metalloproteinases (MMP) are important proteases that degrade the extracellular matrix (ECM) and thus essentially mediate tumor vascularization, metastasis, and invasion. However, their potential roles in uterine corpus endometrial carcinoma (UCEC) are not fully understood. Patients and methods The expression, prognostic value, and correlation of UCEC patients with MMP were investigated using data from The Cancer Genome Atlas (TCGA) and other databases. Furthermore, differentially expressed genes (DEGs) were identified and their biological functions and correlations with infiltrating immune cells were analyzed. Results A total of 22 MMPs were found to be abnormally expressed in UCEC tumor tissues, and high expression of MMP11 and MMP17 were associated with a better UCEC prognosis. MMP11 and MMP17 were observed to be significantly enriched in tumor tissue ECM and were associated with pathways involving degradation, glycolytic metabolism, and PI3K-Akt signaling. Infiltration of natural killer (NK), mast, and NK CD56bright cells was enhanced in tumor tissues with high MMP11 and MMP17 expression. Conclusion MMP11 and MMP17 may affect UCEC prognosis by influencing immune cell infiltration and may be potential UCEC biomarkers (AU)

Low temperature nanocasting synthesis of lanthanide ions (Ln = Tb, Eu, Dy) doped CaWO4 mesoporous structure with efficiently luminescent properties.

In this work, we report on the construction of lanthanide doped CaWO(4) mesoporous structure with efficiently luminescent properties. Using citric acid as the capping agent and SBA-15 as the nanocasting template, lanthanide doped CaWO(4) samples with mesostructure were successfully prepared at low temperature for the first time. The samples were carefully characterized by X-ray diffraction, transmission electron microscopy, N(2) adsorption-desorption, Fourier transform infrared spectroscopy, and luminescence spectra. It is found that the lanthanide doped CaWO(4) showed mesostructure with high specific surface area, large pore volume, and mesoporous pore size distribution. Photoluminescence measurements indicated that lanthanide doped CaWO(4) mesostructure exhibited highly efficient luminescent properties in comparison with conventional randomly deposited lanthanide doped CaWO(4) nanoparticles due to superior interparticle connectivity of mesostructures that can suppress the energy losses and reduce surface quenching centers. By altering lanthanide ions, mesoporous CaWO(4) showed multi-color emission such as green, red, and dark cyan under single-wavelength excitation.

Resveratrol alleviates endotoxin-induced myocardial toxicity via the Nrf2 transcription factor.

BACKGROUND/AIMS: Septic cardiomyopathy is a severe condition that remains a challenge for clinical management. This study investigated whether the natural polyphenolic compound resveratrol could be used as a prophylactic treatment to alleviate sepsis-related myocardial injury; the underlying molecular mechanisms were deciphered by both in vitro and in vivo experiments. METHODS: A mouse model of endotoxin-induced cardiomyopathy was developed by intraperitoneal injection of LPS, and resveratrol was administered prophylatically to the animals. Serum LDH and CK activities were measured to detect myocardial injury, and echocardiography was performed to monitor cardiac structure and function. Various cytokines/chemokines and the Nrf2 antioxidant defense system were examined in the heart tissue. The effects of resveratrol on LPS-induced Nrf2 activation, ROS generation, and apoptotic cell death were further investigated in cultured primary human cardiomyocytes. An Nrf2 specific siRNA was used to define its role in resveratrol-mediated cardiomyocyte protective effect. RESULTS: Resveratrol pretreatment significantly attenuated LPS-induced myocardial injury in mice, which was associated with suppressed proinflammatory cytokine production and enhanced Nrf2 activation in the heart. In cultured primary human cardiomyocytes, resveratrol activated Nrf2, inhibited LPS-induced ROS generation, and effectively protected the cells from LPS-induced apoptotic cell death. Knockdown of Nrf2 abrogated resveratrol-mediated protection of the cells from LPS-induced cell death. CONCLUSION: Resveratrol effectively alleviates endotoxin-induced cardiac toxicity through mechanisms that involve the Nrf2 antioxidant defense pathway. Our data suggest that resveratrol might be developed as a useful prophylactic management for septic cardiomyopathy.