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Alternative Therapies in Health and... Jun 2024The objective of this study is to develop a prediction model for the pathological upgrading of low-grade dysplasia (LGD) in gastric mucosa. The study aims to compare the...
OBJECTIVE
The objective of this study is to develop a prediction model for the pathological upgrading of low-grade dysplasia (LGD) in gastric mucosa. The study aims to compare the performance of a traditional model based on clinical and endoscopic factors with an enhanced model that incorporates AMACR staining of biopsy tissues.
METHODS
The study utilized a training dataset of 405 LGD cases to establish and compare the traditional and enhanced prediction models. Factors associated with upgrading were identified, and the traditional model was based on these factors. The enhanced model incorporated AMACR staining. The models' performances were evaluated using the area under the curve (AUC), bootstrap resampling, and decision curve analysis. External validation was performed using 171 LGD cases. Statistical techniques such as logistic regression and resampling methods were employed to assess the models' predictive abilities and robustness.
RESULTS
In the training dataset, the traditional model achieved an AUC of 0.824 (95% confidence interval [CI]: 0.783-0.865) for predicting pathological upgrading. However, the enhanced model, which incorporated AMACR staining, exhibited a significantly improved performance with an AUC of 0.878 (95% CI: 0.843-0.913). This increase in AUC by 0.054 (95% CI: 0.015-0.093) demonstrates a statistically significant enhancement provided by the inclusion of AMACR staining in the prediction model for pathological upgrading of LGD lesions in gastric mucosa.
CONCLUSION
The findings of this study highlight the practical implications of the enhanced prediction model incorporating AMACR staining for low-grade gastric mucosal dysplasia (LGD). The significantly improved performance of the enhanced model in predicting pathological upgrading emphasizes its potential to revolutionize the management and treatment strategies for patients with LGD. By providing a more accurate prediction of upgrading, the enhanced model enables early intervention and timely decision-making, leading to improved outcomes and prognosis for patients. The incorporation of AMACR staining in the prediction model holds promise for enhancing diagnostic strategies and reducing the incidence of postoperative pathological upgrading. This research underscores the importance of leveraging advanced techniques to improve the early detection rate of gastric cancer and ultimately benefit patient care.
PubMed: 38940773
DOI: No ID Found -
MSystems Jun 2024Skin ulceration syndrome (SUS) is currently the main disease threatening aquaculture due to its higher mortality rate and infectivity, which is caused by . Our previous...
Skin ulceration syndrome (SUS) is currently the main disease threatening aquaculture due to its higher mortality rate and infectivity, which is caused by . Our previous studies have demonstrated that SUS is accompanied by intestinal microbiota (IM) dysbiosis, alteration of short-chain fatty acids (SCFAs) content and the damage to the intestinal barrier. However, the mediating effect of IM on intestine dysfunction is largely unknown. Herein, we conducted comprehensive intestinal microbiota transplantation (IMT) to explore the link between IM and SUS development. Furthermore, we isolated and identified a strain with an ability to produce acetic acid from both healthy individual and SUS individual with IM from healthy donors. We found that dysbiotic IM and intestinal barrier function in SUS recipients could be restored by IM from healthy donors. The strain could restore IM community and intestinal barrier function. Consistently, acetate supply also restores intestinal homeostasis of SUS-diseased and -infected . Mechanically, acetate was found to specifically bind to its receptor-free fatty acid receptor 2 (FFAR2) to mediate IM structure community and intestinal barrier function. Knockdown of FFAR2 by transfection of specific FFAR2 siRNA could hamper acetate-mediated intestinal homeostasis . Furthermore, we confirmed that acetate/FFAR2 could inhibit -activated NF-κB-MLCK-MLC signaling pathway to restore intestinal epithelium integrity and upregulated the expression of ZO-1 and Occludin. Our findings provide the first evidence that restores pathogen-induced intestinal barrier dysfunction via acetate/FFAR2-NF-κB-MLCK-MLC axis, which provides new insights into the control and prevention of SUS outbreak from an ecological perspective.IMPORTANCESkin ulceration syndrome (SUS) as a main disease in aquaculture has severely restricted the developmental aquaculture industry. Intestinal microbiota (IM) has been studied extensively due to its immunomodulatory properties. Short-chain fatty acids (SCFAs) as an essential signal molecule for microbial regulation of host health also have attracted wide attention. Therefore, it is beneficial to explore the link between IM and SUS for prevention and control of SUS. In the study, the contribution of IM to SUS development has been examined. Additionally, our research further validated the restoration of SCFAs on intestinal barrier dysfunction caused by SUS via isolating SCFAs-producing bacteria. Notably, this restoration might be achieved by inhibition of NF-κB-MLCK-MLC signal pathway, which could be activated by . These findings may have important implications for exploration of the role of IM in SUS occurrence and provide insight into the SUS treatment.
PubMed: 38940521
DOI: 10.1128/msystems.00602-24 -
MSystems Jun 2024The gastric microbial community plays a fundamental role in gastric cancer (GC), and the two main anatomical subtypes of GC, non-cardia and cardia GC, are associated...
UNLABELLED
The gastric microbial community plays a fundamental role in gastric cancer (GC), and the two main anatomical subtypes of GC, non-cardia and cardia GC, are associated with different risk factors ( for non-cardia GC). To decipher the different microbial spatial communities of GC, we performed a multicenter retrospective analysis to characterize the gastric microbiota in 223 GC patients, including -positive or -negative patients, with tumors and paired adjacent normal tissues, using third-generation sequencing. In the independent validation cohort, both dental plaque and GC tumoral tissue samples were collected and sequenced. The prevalence of and oral-associated bacteria was verified using fluorescence hybridization (FISH) assays in GC tumoral tissues and matched nontumoral tissues. We found that the vertical distribution of the gastric microbiota, at the upper, middle, and lower third sites of GC, was likely an important factor causing microbial diversity in GC tumor tissues. The oral-associated microbiota cluster, which included , , and , was more abundant in the upper third of the GC. However, was more abundant in the lower third of the GC and exhibited a significantly high degree of microbial correlation. The oral-associated microbiota module was co-exclusive with in the lower third site of the GC tumoral tissue. Importantly, -negative GC patients with oral-associated gastric microbiota showed worse overall survival, while the increase in microbial abundance in -positive GC patients showed no difference in overall survival. The prevalence of in both the dental plaque and GC tissue samples was concordant in the independent validation phase. We showed that the oral-associated species and were correlated with overall survival. Our study highlights the roles of the oral-associated microbiota in the upper third of the GC. In addition, oral-associated species may serve as noninvasive screening tools for the management of GC and an independent prognostic factor for -negative GCs.
IMPORTANCE
Our study highlights the roles of the oral-associated microbiota in the upper third of gastric cancer (GC).We showed that the oral-associated species and were correlated with overall survival. In addition, oral-associated species may serve as noninvasive screening tools for the management of GC and an independent prognostic factor for -negative GCs.
PubMed: 38940519
DOI: 10.1128/msystems.00089-24 -
Nursing Open Jul 2024To examine changes in advanced nurse practitioner (ANP) well-being, satisfaction and motivation over a four-year period. (Review)
Review
AIMS
To examine changes in advanced nurse practitioner (ANP) well-being, satisfaction and motivation over a four-year period.
DESIGN
Longitudinal Cohort study.
METHODS
Surveys were carried out each year from 2019 to 2022 with the same cohort of ANPs in the United Kingdom (UK). The survey consisted of demographics, questions on contemporary issues in advanced practice, National Health Service (NHS) staff survey questions and validated questionnaires. A core set of questions were asked every year with some changes in response to the COVID-19 pandemic.
RESULTS
Response rate ranged from 40% to 59% and appeared to be affected by COVID-19. Staff satisfaction with pay and the well-being score were stable throughout. Other questions on well-being, job satisfaction and motivation saw statistically significant reductions after 4 years. Open-ended questions about ongoing well-being concerns show participants are concerned about exhaustion levels caused by workload, staffing issues, abuse from patients and colleagues' mental health.
CONCLUSION
The findings highlight a decline in ANP well-being, job satisfaction and motivation post-COVID-19. Reasons for this, explored in the qualitative data, show that ANPs have faced extremely difficult working conditions. Urgent action is required to prevent a workforce retention crisis as many nursing staff are close to retirement and may not be motivated to remain in post.
IMPACT
This study has followed ANPs through the most challenging years the NHS has ever seen. Job satisfaction, motivation and enjoyment of the job all significantly reduced over time. In many areas, the ANP role has been used to fill medical workforce gaps, and this will become harder to do if ANPs are dissatisfied, disaffected and struggling with stress and burnout. Addressing these issues should be a priority for policymakers and managers.
PATIENT OR PUBLIC CONTRIBUTION
None as this study focussed on staff. Staff stakeholders involved in the design and conduct of the study.
Topics: Humans; Job Satisfaction; COVID-19; United Kingdom; Nurse Practitioners; Female; Male; Longitudinal Studies; Surveys and Questionnaires; Adult; Middle Aged; SARS-CoV-2; Motivation; Cohort Studies; State Medicine; Pandemics; Workload; Burnout, Professional
PubMed: 38940475
DOI: 10.1002/nop2.2218 -
Journal of Clinical Hypertension... Jun 2024Salt-sensitive hypertension is common among individuals with essential hypertension, and the prevalence of left ventricular hypertrophy (LVH) has increased. However,...
Salt-sensitive hypertension is common among individuals with essential hypertension, and the prevalence of left ventricular hypertrophy (LVH) has increased. However, data from early identification of the risk of developing LVH in young adults with salt-sensitive hypertension are lacking. Thus, the present study aimed to design a nomogram for predicting the risk of developing LVH in young adults with salt-sensitive hypertension. A retrospective analysis of 580 patients with salt-sensitive hypertension was conducted. The training set consisted of 70% (n = 406) of the patients, while the validation set consisted of the remaining 30% (n = 174). Based on multivariate analysis of the training set, predictors for LVH were extracted to develop a nomogram. Discrimination curves, calibration curves, and clinical utility were employed to assess the predictive performance of the nomogram. The final simplified nomogram model included age, sex, office systolic blood pressure, duration of hypertension, abdominal obesity, triglyceride-glucose index, and estimated glomerular filtration rate (eGFR). In the training set, the model demonstrated moderate discrimination, as indicated by an area under the receiver operating characteristic (ROC) curve of 0.863 (95% confidence interval: 0.831-0.894). The calibration curve exhibited good agreement between the predicted and actual probabilities of LVH in the training set. Additionally, the validation set further confirmed the reliability of the prediction nomogram. In conclusions, the simplified nomogram, which consists of seven routine clinical variables, has shown good performance and clinical utility in identifying young adults with salt-sensitive hypertension who are at high risk of LVH at an early stage.
PubMed: 38940286
DOI: 10.1111/jch.14863 -
Journal of Integrative Neuroscience Jun 2024The effects of heat acclimation (HA) on the hypothalamus after exertional heatstroke (EHS) and the specific mechanism have not been fully elucidated, and this study...
BACKGROUND
The effects of heat acclimation (HA) on the hypothalamus after exertional heatstroke (EHS) and the specific mechanism have not been fully elucidated, and this study aimed to address these questions.
METHODS
In the present study, rats were randomly assigned to the control, EHS, HA, or HA + EHS groups (n = 9). Hematoxylin and eosin (H&E) staining was used to examine pathology. Tandem mass tag (TMT)-based proteomic analysis was utilized to explore the impact of HA on the protein expression profile of the hypothalamus after EHS. Bioinformatics analysis was used to predict the functions of the differentially expressed proteins. The differential proteins were validated by western blotting. An enzyme-linked immunosorbent assay was used to measure the expression levels of inflammatory cytokines in the serum.
RESULTS
The H&E staining (n = 5) results revealed that there were less structural changes in hypothalamus in the HA + EHS group compared with the EHS group. Proteomic analysis (n = 4) revealed that proinflammatory proteins such as argininosuccinate synthetase (ASS1), high mobility group protein B2 (HMGB2) and vimentin were evidently downregulated in the HA + EHS group. The levels of interleukin (IL)-1β, IL-1, and IL-8 were decreased in the serum samples (n = 3) from HA + EHS rats.
CONCLUSIONS
HA may alleviate hypothalamic damage caused by heat attack by inhibiting inflammatory activities, and ASS1, HMGB2 and vimentin could be candidate factors involved in the exact mechanism.
Topics: Animals; Hypothalamus; Heat Stroke; Rats; Proteomics; Male; Rats, Sprague-Dawley; Physical Exertion; Disease Models, Animal
PubMed: 38940089
DOI: 10.31083/j.jin2306116 -
Frontiers in Bioscience (Landmark... Jun 2024L-Theanine, a nonproteinogenic amino acid derived from green tea, is being recognized as an anti-cancer candidate. However, it's roles in the development of cancer...
BACKGROUND
L-Theanine, a nonproteinogenic amino acid derived from green tea, is being recognized as an anti-cancer candidate. However, it's roles in the development of cancer chemoresistance is still unknown and the molecular mechanism is urgently to be explored.
METHODS
The effects of L-Theanine on lung cancer chemoresistance were validated by Cell Counting Kit-8 (CCK-8) assay, transwell assay, and tumor spheroid formation assay; the expression of proteins was detected by using polymerase chain reaction (PCR) and western blotting. RNA-sequencing (RNA-seq) and bioinformatics analysis were used to identify differentially expressed genes induced by L-Theanine. knockdown and overexpression were constructed by using a lentivirus-mediated transfection system.
RESULTS
L-Theanine improved the chemoresistance to -diamminedichloroplatinum (DDP) and inhibited stemness of DDP-resistant lung cancer cells but not non-resistant lung cancer cells. The results from RNA-seq analysis showed that STAT3/NOTCH1 pathway was a potential dominant signaling involved in L-Theanine improving the chemoresistance in DDP-resistant lung cancer. Mechanistically, L-Theanine impeded migration and stemness activation of DDP-resistant lung cancer cells via regulating the expression of STAT3/NOTCH1/BMAL1 signaling-induced stemness markers as well as inhibiting the expression levels of drug resistance-related genes. In addition, a combination of L-Theanine and Stat3 blockade synergistically improved the chemoresistance in DDP-resistant lung cancer.
CONCLUSION
L-Theanine improves the chemoresistance by regulating STAT3/NOTCH1/BMAL1 signaling, reducing stemness, and inhibiting the migration of DDP-resistant lung cancer cells. The finding might provide some evidence for therapeutic options in overcoming the chemoresistance in cancers, including lung cancer.
Topics: Humans; Glutamates; Drug Resistance, Neoplasm; Lung Neoplasms; Cisplatin; STAT3 Transcription Factor; Signal Transduction; Receptor, Notch1; Cell Line, Tumor; ARNTL Transcription Factors; Antineoplastic Agents; Gene Expression Regulation, Neoplastic; A549 Cells; Cell Movement
PubMed: 38940036
DOI: 10.31083/j.fbl2906226 -
Frontiers in Bioscience (Landmark... Jun 2024The incidence rate of oropharyngeal squamous cell carcinoma (OPSCC) worldwide is alarming. In the clinical community, there is a pressing necessity to comprehend the...
BACKGROUND
The incidence rate of oropharyngeal squamous cell carcinoma (OPSCC) worldwide is alarming. In the clinical community, there is a pressing necessity to comprehend the etiology of the OPSCC to facilitate the administration of effective treatments.
METHODS
This study confers an integrative genomics approach for identifying key oncogenic drivers involved in the OPSCC pathogenesis. The dataset contains RNA-Sequencing (RNA-Seq) samples of 46 Human papillomavirus-positive head and neck squamous cell carcinoma and 25 normal Uvulopalatopharyngoplasty cases. The differential marker selection is performed between the groups with a log2FoldChange (FC) score of 2, adjusted -value < 0.01, and screened 714 genes. The Particle Swarm Optimization (PSO) algorithm selects the candidate gene subset, reducing the size to 73. The state-of-the-art machine learning algorithms are trained with the differentially expressed genes and candidate subsets of PSO.
RESULTS
The analysis of predictive models using Shapley Additive exPlanations revealed that seven genes significantly contribute to the model's performance. These include , , and , which predominantly influence differentiating between sample groups. They were followed in importance by , , , and . The Random Forest and Bayes Net algorithms also achieved perfect validation scores when using PSO features. Furthermore, gene set enrichment analysis, protein-protein interactions, and disease ontology mining revealed a significant association between these genes and the target condition. As indicated by Shapley Additive exPlanations (SHAPs), the survival analysis of three key genes unveiled strong over-expression in the samples from "The Cancer Genome Atlas".
CONCLUSIONS
Our findings elucidate critical oncogenic drivers in OPSCC, offering vital insights for developing targeted therapies and enhancing understanding its pathogenesis.
Topics: Humans; Oropharyngeal Neoplasms; Biomarkers, Tumor; Papillomavirus Infections; Artificial Intelligence; Gene Expression Regulation, Neoplastic; Squamous Cell Carcinoma of Head and Neck; Algorithms; Sequence Analysis, RNA; Machine Learning; Papillomaviridae; Carcinoma, Squamous Cell
PubMed: 38940026
DOI: 10.31083/j.fbl2906220 -
Frontiers in Bioscience (Landmark... Jun 2024The objective of this research was to identify differentially expressed genes (DEGs) related to ferroptosis in the annulus fibrosus (AF) during intervertebral disc...
BACKGROUND
The objective of this research was to identify differentially expressed genes (DEGs) related to ferroptosis in the annulus fibrosus (AF) during intervertebral disc degeneration (IDD).
METHODS
We analyzed gene data from degenerated and normal AF obtained from the GSE70362 and GSE147383 datasets. An analysis to determine the functional significance of the DEGs was conducted, followed by the creation of a network illustrating the interactions between proteins. We further analyzed the immune infiltration of the DEGs and determined the hub DEGs using LASSO regression analysis. Finally, we identified the hub ferroptosis-related DEGs (FRDEGs) and verified their expression levels using Real-time quantitative polymerase chain reaction (RT-qPCR), Western blot, Immunohistochemical Staining (IHC), and Immunofluorescence (IF).
RESULTS
By analyzing the GSE70362 and GSE147383 datasets, we identified 118 DEGs. In degenerative AF groups, we observed a significant increase in immune infiltration of resting memory CD4+ T cells. LASSO regression analysis revealed 9 hub DEGs. The construction of a Receiver Operating Characteristic (ROC) curve yielded an Area Under the Curve (AUC) value of 0.762. Furthermore, we found that is a hub gene related to ferroptosis. Our examination of immune infiltration indicated that primarily influences macrophage M0 in different immune cell expression groups. Finally, our observations revealed a marked upregulation of expression in the degenerated annulus fibrosus tissue.
CONCLUSION
Our findings indicate an upsurge in levels within degenerative AF, potentially playing a crucial role in the exacerbation of IDD. These findings provide a foundation for further exploration of the pathological mechanisms underlying IDD and offer potential drug targets for intervention.
Topics: Ferroptosis; Annulus Fibrosus; Humans; Intervertebral Disc Degeneration; Computational Biology; Intervertebral Disc; Gene Expression Profiling; Databases, Genetic; Protein Interaction Maps; Gene Regulatory Networks
PubMed: 38940022
DOI: 10.31083/j.fbl2906224 -
Frontiers in Pharmacology 2024Tivozanib, a vascular endothelial growth factor tyrosine kinase inhibitor, has demonstrated efficacy in a phase III clinical trials for the treatment of renal cell...
BACKGROUND
Tivozanib, a vascular endothelial growth factor tyrosine kinase inhibitor, has demonstrated efficacy in a phase III clinical trials for the treatment of renal cell carcinoma. However, comprehensive evaluation of its long-term safety profile in a large sample population remains elusive. The current study assessed Tivozanib-related adverse events of real-world through data mining of the US Food and Drug Administration Adverse Event Reporting System FDA Adverse Event Reporting System.
METHODS
Disproportionality analyses, utilizing reporting odds ratio proportional reporting ratio Bayesian confidence propagation neural network and multi-item gamma Poisson shrinker (MGPS) algorithms, were conducted to quantify signals of Tivozanib-related AEs. Weibull distribution was used to predict the varying risk incidence of AEs over time.
RESULTS
Out of 5,361,420 reports collected from the FAERS database, 1,366 reports of Tivozanib-associated AEs were identified. A total of 94 significant disproportionality preferred terms (PTs) conforming to the four algorithms simultaneously were retained. The most common AEs included fatigue, diarrhea, nausea, blood pressure increased, decreased appetite, and dysphonia, consistent with prior specifications and clinical trials. Unexpected significant AEs such as dyspnea, constipation, pain in extremity, stomatitis, and palmar-plantar erythrodysaesthesia syndrome was observed. The median onset time of Tivozanib-related AEs was 37 days (interquartile range [IQR] 11.75-91 days), with a majority (n = 127, 46.35%) occurring within the initial month following Tivozanib initiation.
CONCLUSION
Our observations align with clinical assertions regarding Tivozanib's safety profile. Additionally, we unveil potential novel and unexpected AE signatures associated with Tivozanib administration, highlighting the imperative for prospective clinical studies to validate these findings and elucidate their causal relationships. These results furnish valuable evidence to steer future clinical inquiries aimed at elucidating the safety profile of Tivozanib.
PubMed: 38939844
DOI: 10.3389/fphar.2024.1408135