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Ecotoxicology and Environmental Safety Jun 2024Microalgal growth-based tests are international standards for ecotoxicity assessment; however, their long exposure times, large sample volumes, and reliance on a single...
Microalgal growth-based tests are international standards for ecotoxicity assessment; however, their long exposure times, large sample volumes, and reliance on a single growth-endpoint make them inadequate for rapid toxicity screening. Here, we aimed to develop a rapid and simple ecotoxicological test using the fast-growing green alga Mychonastes afer, with multiple endpoints-growth, lipid content, and photosynthesis. We exposed M. afer to two metals-silver and copper-and two herbicides-atrazine and diuron-for 24 h and identified the most sensitive and reliable endpoints for each toxicant: the maximum electron transport rate (ETR) for Ag, Cu and atrazine, and the lipid content for diuron. Lipid content was found to be both a sensitive and reliable biomarker, meeting the effluent limit guidelines in both the Republic of Korea and the USA. The sensitivity of M. afer to Ag and atrazine also closely matched the HC values derived from the species sensitivity distribution approach, confirming its reliability for setting regulatory concentrations of these contaminants. Our calculated predicted no-effect concentration (PNEC) values were similar to established European Union PNECs for Ag, Cu, atrazine, and diuron, underlining the utility of these biological endpoints for ecological risk assessment and regulatory decision making. This method required lower sample volume (2 mL vs 100 mL) and exposure time (24 h vs 72-120 h) than conventional green algal tests, and eliminated the need for labour-intensive cell counting, expensive equipment, and chlorophyll fluorescence measurement expertise. Overall, this M. afer test can be a valuable tool for the rapid screening of wastewater for metals and herbicides, contributing to environmental protection and management practices.
PubMed: 38941657
DOI: 10.1016/j.ecoenv.2024.116652 -
Medicine Jun 2024Abdominal aortic aneurysm (AAA) is a cardiovascular disease that seriously threatens human health and brings huge economic burden. At present, its pathogenesis remains...
Abdominal aortic aneurysm (AAA) is a cardiovascular disease that seriously threatens human health and brings huge economic burden. At present, its pathogenesis remains unclear and its treatment is limited to surgical treatment. With the deepening and analysis of studies on the mechanism of ferroptosis, a new idea has been provided for the clinical management of AAA patients, including diagnosis, treatment and prevention. Therefore, this paper aims to construct a competitive endogenous RNA (ceRNA) regulatory axis based on ferroptosis to preliminarily explore the pathogenesis and potential therapeutic targets of AAA. We obtained upregulated and downregulated ferroptosis-related DEGs (FRGs) from GSE144431 dataset and 60 known ferroptosis-related genes. Pearson correlation analysis was used to find aldoketone reductase 1C (AKR1C1) in AAA samples. Enrichment analysis of these genes was performed via Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Correlation test between immune cells and AKR1C1 was investigated through single-sample gene set enrichment analysis (ssGSEA). The AKR1C1-miRNA pairs were predicted by the TargetScan database and miRWalk database. Circular RNA (CircRNA)-miRNA pairs were selected by the CircInteractome database. Overlapping miRNA between circRNA-miRNA and AKR1C1-miRNA pairs was visualized by Venn diagram. Finally, the circRNA-miRNA-mRNA axis was constructed by searching for upstream circRNA and downstream mRNA of overlapping miRNA. Only one downregulated AKR1C1 gene was found in GSE144431 and 60 ferroptosis-related genes. Functional Enrichment and Pathway Analysis of AKR1C1-related genes were further explored, and it was observed that they were mainly enriched in "response to oxidative stress," "glutathione biosynthetic process" and "nonribosomal peptide biosynthetic process," "Ferroptosis," "Glutathione metabolism" and "Chemical carcinogenesis-reactive oxygen species." They were also found to be significantly associated with most immune cells, including Activated Dendritic cells, CD56dim Natural killer cells, Gamma Delta T cells, Immature B cells, Plasmacytoid dendritic cell, Type 2 T helper cell, Activated CD4 T cell and Type 1 T helper cell. Has_circ_0005073-miRNA-543 and AKR1C1-miRNA-543 were identified by Online Database analysis. Therefore, we have established the has_circ_0005073/miRNA-543/AKR1C1 axis in AAA. We found AKR1C1 was differentially expressed between normal and AAA groups. Based on AKR1C1, we constructed the has_circ_0005073/miRNA-543/AKR1C1 axis to analyze AAA.
Topics: Humans; Aortic Aneurysm, Abdominal; Ferroptosis; MicroRNAs; 20-Hydroxysteroid Dehydrogenases; RNA, Messenger; RNA, Circular; Down-Regulation
PubMed: 38941402
DOI: 10.1097/MD.0000000000038749 -
Medicine Jun 2024Appendicitis is an inflammation caused by obstruction of the appendiceal lumen or termination of blood supply leading to appendiceal necrosis followed by secondary... (Observational Study)
Observational Study
Appendicitis is an inflammation caused by obstruction of the appendiceal lumen or termination of blood supply leading to appendiceal necrosis followed by secondary bacterial infection. The relationship between TYROBP gene and the nursing of appendicitis remains unclear. The appendicitis dataset GSE9579 profile was downloaded from the gene expression omnibus database generated from GPL571. Differentially expressed genes were screened, followed by weighted gene co-expression network analysis, functional enrichment analysis, gene set enrichment analysis, construction and analysis of protein-protein interaction network, Comparative Toxicogenomics Database analysis, and immune infiltration analysis. Heatmaps of gene expression levels were plotted. A total of 1570 differentially expressed genes were identified. According to gene ontology analysis, they were mainly enriched in organic acid metabolic process, condensed chromosome kinetochore, oxidoreductase activity. In Kyoto Encyclopedia of Gene and Genome analysis, they mainly concentrated in metabolic pathways, P53 signaling pathway, PPAR signaling pathway. The soft threshold power in weighted gene co-expression network analysis was set to 12. Through the construction and analysis of protein-protein interaction network, 5 core genes (FCGR2A, IL1B, ITGAM, TLR2, TYROBP) were obtained. Heatmap of core gene expression levels revealed high expression of TYROBP in appendicitis samples. Comparative Toxicogenomics Database analysis found that core genes (FCGR2A, IL1B, ITGAM, TLR2, TYROBP) were closely related to abdominal pain, gastrointestinal dysfunction, fever, and inflammation occurrence. TYROBP gene is highly expressed in appendicitis, and higher expression of TYROBP gene indicates worse prognosis. TYROBP may serve as a molecular target for appendicitis and its nursing.
Topics: Appendicitis; Humans; Protein Interaction Maps; Data Mining; Toxicogenetics; Gene Regulatory Networks
PubMed: 38941398
DOI: 10.1097/MD.0000000000038667 -
Medicine Jun 2024This study aimed to investigate immune score and stromal score-related signatures associated with preeclampsia (PE) and identify key genes for diagnosing PE using...
This study aimed to investigate immune score and stromal score-related signatures associated with preeclampsia (PE) and identify key genes for diagnosing PE using bioinformatics analysis. Four microarray datasets, GSE75010, GSE25906, GSE44711, and GSE10588 were obtained from the Gene Expression Omnibus database. GSE75010 was utilized for differential expressed gene (DEGs) analysis. Subsequently, bioinformatic tools such as gene ontology, Kyoto Encyclopedia of Genes and Genomes, weighted gene correlation network analysis, and gene set enrichment analysis were employed to functionally characterize candidate target genes involved in the pathogenesis of PE. The least absolute shrinkage and selection operator regression approach was employed to identify crucial genes and develop a predictive model. This method also facilitated the creation of receiver operating characteristic (ROC) curves, enabling the evaluation of the model's precision. Furthermore, the model underwent external validation through the other three datasets. A total of 3286 DEGs were identified between normal and PE tissues. Gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses revealed enrichments in functions related to cell chemotaxis, cytokine binding, and cytokine-cytokine receptor interaction. weighted gene correlation network analysis identified 2 color modules strongly correlated with immune and stromal scores. After intersecting DEGs with immune and stromal-related genes, 13 genes were selected and added to the least absolute shrinkage and selection operator regression. Ultimately, 7 genes were screened out to establish the risk model for discriminating preeclampsia from controls, with each gene having an area under the ROC curve >0.70. The constructed risk model demonstrated that the area under the ROC curves in internal and the other three external datasets were all greater than 0.80. A 7-gene risk signature was identified to build a potential diagnostic model and performed well in the external validation group for PE patients. These findings illustrated that immune and stromal cells played essential roles in PE during its progression.
Topics: Humans; Pre-Eclampsia; Female; Pregnancy; Computational Biology; Gene Expression Profiling; ROC Curve; Databases, Genetic; Gene Ontology; Gene Regulatory Networks
PubMed: 38941397
DOI: 10.1097/MD.0000000000038638 -
Medicine Jun 2024As chronic autoimmune inflammatory diseases, rheumatoid arthritis (RA) and Crohn disease (CD) are closely associated and display a significant positive correlation....
As chronic autoimmune inflammatory diseases, rheumatoid arthritis (RA) and Crohn disease (CD) are closely associated and display a significant positive correlation. However, the underlying mechanisms and disease markers responsible for their cooccurrence remain unknown and have not been systematically studied. Therefore, this study aimed to identify key molecules and pathways commonly involved in both RA and CD through bioinformatic analysis of public sequencing databases. Datasets for RA and CD were downloaded from the GEO database. Overlapping genes were identified using weighted gene co-expression network analysis and differential analysis crossover, and enrichment analysis was conducted for these genes. Protein-protein interaction networks were then constructed using these overlapping genes to identify hub genes. Expression validation and receiver operating characteristic curve validation were performed for these hub genes using different datasets. Additionally, the immune cell correlation, single-cell expression cluster, and the immune cell expression cluster of the core gene were analyzed. Furthermore, upstream shared microRNAs (miRNA) were predicted and a miRNA-gene network was constructed. Finally, drug candidates were analyzed and predicted. These core genes were found to be positively correlated with multiple immune cells that are infiltrated by the disease. Analysis of gene expression clusters revealed that these genes were mostly associated with inflammatory and immune responses. The miRNA-genes network analysis suggested that hsa-miR-31-5p may play an important role in the common mechanism of RA and CD. Finally, tamibarotene, retinoic acid, and benzo[a]pyrene were identified as potential treatment options for patients with both RA and CD. This bioinformatics study has identified ITGB2, LCP2, and PLEK as key diagnostic genes in patients with both RA and CD. The study has further confirmed that inflammation and immune response play a central role in the development of both RA and CD. Interestingly, the study has highlighted hsa-miR-31-5p as a potential key player in the common mechanism of both diseases, representing a new direction in research and a potential therapeutic target. These shared genes, potential mechanisms, and regulatory networks offer new opportunities for further research and may provide hope for future treatment of patients with both RA and CD.
Topics: Humans; Crohn Disease; Arthritis, Rheumatoid; Computational Biology; MicroRNAs; Protein Interaction Maps; Gene Regulatory Networks; Biomarkers; Gene Expression Profiling
PubMed: 38941374
DOI: 10.1097/MD.0000000000038690 -
JMIR Research Protocols Jun 2024Artificial intelligence (AI) medical devices have the potential to transform existing clinical workflows and ultimately improve patient outcomes. AI medical devices have...
BACKGROUND
Artificial intelligence (AI) medical devices have the potential to transform existing clinical workflows and ultimately improve patient outcomes. AI medical devices have shown potential for a range of clinical tasks such as diagnostics, prognostics, and therapeutic decision-making such as drug dosing. There is, however, an urgent need to ensure that these technologies remain safe for all populations. Recent literature demonstrates the need for rigorous performance error analysis to identify issues such as algorithmic encoding of spurious correlations (eg, protected characteristics) or specific failure modes that may lead to patient harm. Guidelines for reporting on studies that evaluate AI medical devices require the mention of performance error analysis; however, there is still a lack of understanding around how performance errors should be analyzed in clinical studies, and what harms authors should aim to detect and report.
OBJECTIVE
This systematic review will assess the frequency and severity of AI errors and adverse events (AEs) in randomized controlled trials (RCTs) investigating AI medical devices as interventions in clinical settings. The review will also explore how performance errors are analyzed including whether the analysis includes the investigation of subgroup-level outcomes.
METHODS
This systematic review will identify and select RCTs assessing AI medical devices. Search strategies will be deployed in MEDLINE (Ovid), Embase (Ovid), Cochrane CENTRAL, and clinical trial registries to identify relevant papers. RCTs identified in bibliographic databases will be cross-referenced with clinical trial registries. The primary outcomes of interest are the frequency and severity of AI errors, patient harms, and reported AEs. Quality assessment of RCTs will be based on version 2 of the Cochrane risk-of-bias tool (RoB2). Data analysis will include a comparison of error rates and patient harms between study arms, and a meta-analysis of the rates of patient harm in control versus intervention arms will be conducted if appropriate.
RESULTS
The project was registered on PROSPERO in February 2023. Preliminary searches have been completed and the search strategy has been designed in consultation with an information specialist and methodologist. Title and abstract screening started in September 2023. Full-text screening is ongoing and data collection and analysis began in April 2024.
CONCLUSIONS
Evaluations of AI medical devices have shown promising results; however, reporting of studies has been variable. Detection, analysis, and reporting of performance errors and patient harms is vital to robustly assess the safety of AI medical devices in RCTs. Scoping searches have illustrated that the reporting of harms is variable, often with no mention of AEs. The findings of this systematic review will identify the frequency and severity of AI performance errors and patient harms and generate insights into how errors should be analyzed to account for both overall and subgroup performance.
TRIAL REGISTRATION
PROSPERO CRD42023387747; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=387747.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)
PRR1-10.2196/51614.
Topics: Humans; Randomized Controlled Trials as Topic; Artificial Intelligence; Algorithms; Systematic Reviews as Topic; Patient Harm; Equipment and Supplies; Research Design
PubMed: 38941147
DOI: 10.2196/51614 -
Frontiers in Bioscience (Landmark... Jun 2024Gastric cancer (GC) is a leading cause of cancer-associated death worldwide. Its molecular mechanisms, especially concerning autophagy and various signaling pathways,...
BACKGROUND
Gastric cancer (GC) is a leading cause of cancer-associated death worldwide. Its molecular mechanisms, especially concerning autophagy and various signaling pathways, are not fully understood. Fatty Acid Binding Protein 6 () and RE1 Silencing Transcription Factor () emerge as potential key players in this context. This study sought to analyze the functional relationship of and concerning autophagy and their implications on the Akt/mTOR signaling pathway within GC cells.
METHODS
A comprehensive bioinformatics approach was used to identify key prognostic markers in GC. The effects of and on autophagy along with Akt/mTOR signaling pathways were analyzed by techniques including Western blotting (WB), flow cytometry, Transwell assay, dual luciferase reporter assay, and others.
RESULTS
was identified as overexpressed in GC, linked with poor prognosis. silencing reduces GC cell proliferation, induces S- and G2-phase arrest, and downregulates cyclins CDK2 and CDK4. It also inhibited GC cell invasion/migration and autophagy, effects that were counteracted by MG132. When combined with PI3K inhibitor LY294002c, knockdown showed synergistic anti-proliferative effects, modulating the Akt/mTOR pathway. Besides, the transcription factor has been shown to directly regulate expression, affecting autophagy and the Akt/mTOR signaling pathway in a -dependent manner.
CONCLUSIONS
positively regulates autophagy and negatively affects the Akt/mTOR signaling pathway in GC cells in a FABP6-dependent manner, providing valuable insights into regulatory networks involving and .
Topics: Humans; Stomach Neoplasms; TOR Serine-Threonine Kinases; Autophagy; Proto-Oncogene Proteins c-akt; Signal Transduction; Cell Line, Tumor; Fatty Acid-Binding Proteins; Cell Proliferation; Gene Expression Regulation, Neoplastic
PubMed: 38940038
DOI: 10.31083/j.fbl2906212 -
Frontiers in Bioscience (Landmark... Jun 2024Traumatic spinal cord injury (SCI) is a serious disease of the central nervous system. Aside from the limited intrinsic regenerative capacity of neurons, complex... (Review)
Review
Traumatic spinal cord injury (SCI) is a serious disease of the central nervous system. Aside from the limited intrinsic regenerative capacity of neurons, complex microenvironmental disturbances can also lead to further cellular damage and growth inhibition. Programmed cell death regulated by pyroptosis has an important role in the pathogenesis of SCI. While there has been a wealth of new knowledge regarding cellular pyroptosis, a detailed understanding of its role in SCI and possible therapeutic strategies is still lacking. This review summarizes current advances in the regulatory role of pyroptosis-regulated cell death and inflammasome components in the inhibitory microenvironment following SCI, as well as recent therapeutic advances.
Topics: Spinal Cord Injuries; Humans; Pyroptosis; Inflammasomes; Animals; Neurons
PubMed: 38940037
DOI: 10.31083/j.fbl2906210 -
Frontiers in Bioscience (Landmark... May 2024Lung cancer is the primary cause of cancer-related deaths, with one of the highest incidence and mortality rates of all malignant tumors. Dysregulated expression of...
BACKGROUND
Lung cancer is the primary cause of cancer-related deaths, with one of the highest incidence and mortality rates of all malignant tumors. Dysregulated expression of DEPDC1B has been reported to occur in various tumor types. However, the functional implications of this alteration in lung adenocarcinoma (LUAD) and the underlying molecular mechanism remains unclear. In this study, we investigated the role and clinical significance of DEPDC1B in LUAD.
METHODS
The expression of DEPDC1B in LUAD and its relationship with prognosis were systematically evaluated in several publically available datasets. The effects of DEPDC1B knockdown on the proliferation and motility of LUAD cells were assessed using the JULI Stage Real-time Cell History Recorder, while the effect of knockdown on the cell cycle was studied by flow cytometry. Furthermore, RNA-Sequencing (RNA-Seq) analysis was conducted to identify the downstream target genes and pathways regulated by DEPDC1B. Correlations between the expression of DEPDC1B and immune cell infiltration, immunotherapy resistance, and chemoresistance were also examined. Additionally, molecular biological methods were used to explore the regulatory mechanism of B-Myb on DEPDC1B expression.
RESULTS
DEPDC1B was found to be upregulated in LUAD patients and this was associated with poor clinical outcomes. Knockdown of inhibited cell growth, migration and motility, as well as cell cycle progression. Knockdown also resulted in the down-regulation of several downstream genes, including , , and , as well as the inactivation of multiple critical pathways, such as the ERK and PI3K-AKT pathways. Analysis of the tumor immuno-environment in LUAD revealed that high DEPDC1B expression was associated with an abundance of activated CD4+ memory T cells, M0 macrophages, M1 macrophages, and CD8+ T cells. Moreover, these tumors responded poorly to immunotherapy. Analysis of chemo-drug sensitivity showed that LUADs with high DEPDC1B expression were more responsive to frontline chemotherapeutic drugs such as Vinorelbine, Cisplatin, and Etoposide. Additionally, mechanistic investigations revealed that DEPDC1B is a direct target gene of B-Myb, and that its knockdown attenuated the proliferation and motility effects of B-Myb.
CONCLUSIONS
In summary, our findings indicate that DEPDC1B is a critical regulator during the malignant progression of LUAD. DEPDC1B could therefore be a promising prognostic marker and therapeutic target in LUAD diagnosis and treatment.
Topics: Humans; Adenocarcinoma of Lung; GTPase-Activating Proteins; Lung Neoplasms; Cell Proliferation; Cell Movement; Gene Expression Regulation, Neoplastic; Cell Line, Tumor; Disease Progression; Cell Cycle Proteins; Prognosis; Drug Resistance, Neoplasm; Male; Gene Knockdown Techniques; Signal Transduction; Neoplasm Proteins; Trans-Activators
PubMed: 38940035
DOI: 10.31083/j.fbl2906204 -
Frontiers in Bioscience (Landmark... May 2024Polycystic ovary syndrome (PCOS) is a prevalent reproductive, endocrine, and metabolic disease that affects 5-18% of women worldwide, with a rising incidence.... (Review)
Review
Polycystic ovary syndrome (PCOS) is a prevalent reproductive, endocrine, and metabolic disease that affects 5-18% of women worldwide, with a rising incidence. Hyperandrogenemia and insulin resistance are two key pathophysiological factors that contribute to PCOS, both of which contribute to a variety of health issues such as menstrual irregularities, obesity, dysfunctional glucose and lipid homeostasis, infertility, mental disorders, and cardiovascular and cerebrovascular diseases. Despite ongoing studies, the origin and pathogenesis of PCOS remain elusive; there is also a clinical need for simpler, more effective, longer lasting, and more comprehensive treatments for women with PCOS. The gut-fat axis, a critical regulatory route for metabolism, endocrine function, and immune response, has received considerable interest in recent years in the research of the etiology and treatment of metabolic illnesses such as type 2 diabetes mellitus and non-alcoholic fatty liver disease. The latest research in PCOS has revealed significant alterations in the homogeneity and phylogenetic diversity of the gut microbiota. Animal research using fecal microbiota transplantation has confirmed the importance of gut microbiota in regulating insulin sensitivity and sex hormone balance in PCOS. Furthermore, studies have shown a decrease in the volume and/or activity of brown adipose tissue (BAT) in PCOS patients, a change that alters adipokine release, leading to insulin resistance and hyperandrogenemia, aggravating PCOS progression. Given the function of BAT in increasing energy expenditure and alleviating metabolic parameters, efforts to activate BAT or induce browning of white adipose tissue have emerged as possible treatments for PCOS. Recent research has suggested that the gut microbiota can influence BAT creation and activity via metabolites such as short-chain fatty acids and bile acids, as well as the gut-brain axis. Cold exposure, healthy dieting, metformin, bariatric surgery, glucagon-like peptide 1 receptor agonists and melatonin have all been shown in basic and clinical studies to modulate BAT activity by influencing the gut microbiota, demonstrating significant clinical potential. However, more studies into the regulation mechanisms of the gut-BAT axis are required to produce more effective, comfortable, and safe tailored therapeutics for PCOS.
Topics: Polycystic Ovary Syndrome; Humans; Female; Gastrointestinal Microbiome; Adipose Tissue, Brown; Animals; Insulin Resistance; Fecal Microbiota Transplantation; Obesity
PubMed: 38940030
DOI: 10.31083/j.fbl2906208