RESUMEN

Purpose: Although magnesium sulfate (MgSO4) is widely used as an analgesic adjuvant to peripheral analgesic cocktails, its efficacy in total knee arthroplasty (TKA) is still controversial. Therefore, we systematically reviewed and meta-analyzed the literature to assess the analgesic efficacy of MgSO4 as an adjuvant to the analgesic cocktail in TKA. Methods: The PubMed, EMBASE, Web of Science, and Cochrane Library databases were searched. The meta-analysis was performed according to the PRISMA guidelines. Data were qualitatively synthesized or meta-analyzed using a random-effects model. Results: Five randomized controlled trials involving 432 patients were included. Meta-analyses detected significant differences between the MgSO4 and control groups in the visual analog scale (VAS) pain scores (rest) at 6, 12, and 24 h postoperatively; VAS pain scores (motion) at 12, 24, and 48 h postoperatively; morphine consumption within 24 h, 24-48 h, and during the total hospitalization period; time to first rescue analgesia after TKA; and length of hospital stay. Regarding the functional recovery, the meta-analysis demonstrated significant differences between groups in terms of knee range of motion on postoperative day 1; daily mobilization distance on postoperative day 1; and daily mobilization distance. There was no significant intergroup difference in surgical complications. Conclusion: The findings suggest that MgSO4 is a promising adjunct to the analgesic cocktail, achieving significant improvements in pain scores and total opioid consumption during the early postoperative period after TKA.

RESUMEN

BACKGROUND: Previous studies have shown an association between acute respiratory distress syndrome (ARDS) and thyroid function. However, their causal relationship remains unspecified. Therefore, this study aims to explore the causal relationship between ARDS and thyroid function-related diseases with Mendelian Randomization (MR) analysis. METHODS: ARDS dataset finn-b-J10_ARDS, finn-b-E4_THYROID dataset of disorders of the thyroid gland (DTG) and finn-b-E4_HYTHYNAS of hypothyroidism were acquired from public database. In univariate MR (UVMR), causal effects between DTG, hypothyroidism and ARDS were investigated using 5 types of algorithms, and reliability was validated by sensitivity analysis. Moreover, multivariate MR (MVMR), enrichment and interaction network analyses of genes corresponding to SNPs of DTG and hypothyroidism were carried out. Significant level was chosen as p<0.05. RESULTS: UVMR identified DTG and hypothyroidism (P < 0.05, OR > 1) as risk factors, and were causally related to ARDS. Reliability of UVMR results was confirmed through sensitivity analysis, and results were stable and reliable. However, DTG and hypothyroidism had no effect on ARDS in MVMR, possibly because these factors had independent effects on ARDS. Ultimately, 96 and 113 genes corresponding to SNPs of DTG and hypothyroidism were found closely related to immune-related pathways. CONCLUSIONS: UVMR and MVMR analysis revealed a causal connection between DTG and hypothyroidism as risk factors with ARDS, providing robust evidence for investigation into relationship of hypothyroidism on ARDS and between DTG and ARDS.

RESUMEN

Reactive capture of carbon dioxide (CO2) offers an electrified pathway to produce renewable carbon monoxide (CO), which can then be upgraded into long-chain hydrocarbons and fuels. Previous reactive capture systems relied on hydroxide- or amine-based capture solutions. However, selectivity for CO remains low (<50%) for hydroxide-based systems and conventional amines are prone to oxygen (O2) degradation. Here, we develop a reactive capture strategy using potassium glycinate (K-GLY), an amino acid salt (AAS) capture solution applicable to O2-rich CO2-lean conditions. By employing a single-atom catalyst, engineering the capture solution, and elevating the operating temperature and pressure, we increase the availability of dissolved in-situ CO2 and achieve CO production with 64% Faradaic efficiency (FE) at 50 mA cm-2. We report a measured CO energy efficiency (EE) of 31% and an energy intensity of 40 GJ tCO-1, exceeding the best hydroxide- and amine-based reactive capture reports. The feasibility of the full reactive capture process is demonstrated with both simulated flue gas and direct air input.

RESUMEN

Circular RNAs (circRNAs) have emerged as a novel class of non-coding RNAs with regulatory roles in disease pathogenesis. Computational models aimed at predicting circRNA-disease associations offer valuable insights into disease mechanisms, thereby enabling the development of innovative diagnostic and therapeutic approaches while reducing the reliance on costly wet experiments. In this study, SGFCCDA is proposed for predicting potential circRNA-disease associations based on scale graph convolutional networks and feature convolution. Specifically, SGFCCDA integrates multiple measures of circRNA and disease similarity and combines known association information to construct a heterogeneous network. This network is then explored by scale graph convolutional networks to capture both topological and attribute information. Additionally, convolutional neural networks are employed to further learn the features and obtain higher-order feature representations containing richer information about nodes. The Hadamard product is utilized to effectively combine circRNA features with disease features, and a multilayer perceptron is applied to predict the association between each pair of circRNA and disease. Five- fold cross validation experiments conducted on the CircR2Disease dataset demonstrate the accurate prediction capabilities of SGFCCDA in identifying potential circRNA-disease associations. Furthermore, case studies provide further confirmation of SGFCCDA's ability to identify disease-associated circRNAs.

RESUMEN

We develop a novel electrochemiluminescence (ECL) emitter of aqueous-based perovskite quantum dots, with long-term stable ECL emission in aqueous media. Moreover, an electron transfer annihilation mechanism of ECL generation is proposed, revealed by the experimental results. This study opens a door for exploring efficient perovskite-based ECL emitters.

RESUMEN

BACKGROUND: Clonorchis sinensis is a zoonotic liver fluke that inhabits the bile ducts of the human liver for prolonged periods, leading to cholangiocarcinoma. Recent research indicates associations between altered biliary microbiota and bile duct disorders. However, the impacts of C. sinensis infection on bile duct epithelium and subsequent effects on biliary microbiota remain unknown. METHODS: Feline bile duct samples were collected from both uninfected and C. sinensis-infected cats. Histopathological examination was performed to assess epithelial changes, fibrosis, mucin and cell proliferation using hematoxylin-eosin staining and immunohistochemistry. Additionally, biliary microbiota composition was analyzed through 16S rRNA gene sequencing. Statistical analyses were conducted to compare the microbial diversity and relative abundance between infected and uninfected samples. RESULTS: Histopathological analysis of infected feline bile ducts revealed prominent epithelial hyperplasia characterized by increased cell proliferation. Moreover, periductal fibrosis and collagen fibrosis were observed in infected samples compared to uninfected controls. Biliary microbial richness decreased with disease progression compared to uninfected controls. Streptococcus abundance positively correlated with disease severity, dominating communities in cancer samples. Predictive functional analysis suggested that C. sinensis may promote bile duct lesions by increasing microbial genes for carbohydrate metabolism, replication, and repair. CONCLUSIONS: This study provides comprehensive insights into the pathological effects of C. sinensis infection on feline bile duct epithelium and its influence on biliary microbiota composition. These novel findings provide insight into C. sinensis pathogenesis and could inform therapeutic development against human clonorchiasis. Further research is warranted to elucidate the underlying mechanisms driving these changes and their implications for host-parasite interactions.

---

Title: L'infection par Clonorchis sinensis induit des changements pathologiques dans l'épithélium des voies biliaires félines et modifie la composition du microbiote biliaire. Abstract: Contexte : Clonorchis sinensis est une douve zoonotique du foie qui habite les voies biliaires du foie humain pendant des périodes prolongées, conduisant au cholangiocarcinome. Des recherches récentes indiquent des associations entre une altération du microbiote biliaire et des pathologies des voies biliaires. Cependant, les impacts de l'infection par C. sinensis sur l'épithélium des voies biliaires et les effets ultérieurs sur le microbiote biliaire restent inconnus. Méthodes : Des échantillons de voies biliaires félines ont été prélevés sur des chats non infectés et infectés par C. sinensis. Un examen histopathologique a été réalisé pour évaluer les modifications épithéliales, la fibrose, la mucine et la prolifération cellulaire à l'aide de la coloration à l'hématoxyline-éosine et de l'immunohistochimie. De plus, la composition du microbiote biliaire a été analysée par séquençage du gène de l'ARNr 16S. Des analyses statistiques ont été menées pour comparer la diversité microbienne et l'abondance relative entre les échantillons infectés et non infectés. Résultats : L'analyse histopathologique des voies biliaires félines infectées a révélé une hyperplasie épithéliale importante caractérisée par une prolifération cellulaire accrue. De plus, une fibrose péricanalaire et une fibrose du collagène ont été observées dans les échantillons infectés par rapport aux témoins non infectés. La richesse microbienne biliaire diminue avec la progression de la maladie par rapport aux témoins non infectés. L'abondance des streptocoques est positivement corrélée à la gravité de la maladie, dominant les communautés dans les échantillons avec cancer. L'analyse fonctionnelle prédictive suggère que C. sinensis pourrait favoriser les lésions des voies biliaires en augmentant les gènes microbiens pour le métabolisme des glucides, la réplication et la réparation. Conclusions : Cette étude fournit des informations complètes sur les effets pathologiques de l'infection à C. sinensis sur l'épithélium des voies biliaires félines et son influence sur la composition du microbiote biliaire. Ces nouvelles découvertes donnent un aperçu sur la pathogenèse de C. sinensis et pourraient éclairer le développement thérapeutique contre la clonorchiase humaine. Des recherches supplémentaires sont nécessaires pour élucider les mécanismes sous-jacents à l'origine de ces changements et leurs implications sur les interactions hôte-parasite.

Asunto(s)

Conductos Biliares , Enfermedades de los Gatos , Clonorquiasis , Clonorchis sinensis , Microbiota , ARN Ribosómico 16S , Animales , Gatos , Clonorquiasis/parasitología , Clonorquiasis/veterinaria , Clonorchis sinensis/fisiología , Conductos Biliares/parasitología , Conductos Biliares/patología , Enfermedades de los Gatos/parasitología , Enfermedades de los Gatos/microbiología , ARN Ribosómico 16S/genética , Epitelio/microbiología , Epitelio/patología , Fibrosis , Proliferación Celular , Masculino

RESUMEN

Greenhouse gas emissions, as one of the primary contributors to global warming, present an urgent environmental challenge that requires attention. Accurate prediction of carbon dioxide (CO2) emissions from the industrial sector is crucial for the development of low-carbon industries. However, existing time series models often suffer from severe overfitting when data volume is insufficient. In this paper, we propose a carbon emission prediction method based on meta-learning and differential long- and short-term memory (MDL) to address this issue. Specifically, MDL leverages Long Short-Term Memory (LSTM) to capture long-term dependencies in time series data and employs a meta-learning framework to transfer knowledge from multiple source task datasets for initializing the carbon emission prediction model for the target task. Additionally, the combination of differential LSTM and the meta-learning framework reduces the dependency of the differential long- and short-term memory network on data volume. The smoothed difference method, included in this approach, mitigates the randomness of carbon emission sequences, consequently benefiting the fit of the LSTM model to the data. To evaluate the effectiveness of our proposed method, we validate it using carbon emission datasets from 30 provinces in China and the industrial sector in Xinjiang. The results show that the average absolute error (MAE), Coefficient of Determination (R2) and root mean square error (RMSE) of the method have been reduced by 61.8% and 63.8% on average compared with the current mainstream algorithms. The method provides an efficient and accurate solution to the task of industrial carbon emission prediction, and helps environmental policy makers to formulate environmental policies and energy consumption plans.

Asunto(s)

Dióxido de Carbono , Dióxido de Carbono/análisis , Memoria a Corto Plazo/fisiología , China , Carbono , Industrias , Monitoreo del Ambiente/métodos , Modelos Teóricos , Algoritmos , Redes Neurales de la Computación

RESUMEN

Aim: Clarify the potential diagnostic value of tongue images for coronary artery disease (CAD), develop a CAD diagnostic model that enhances performance by incorporating tongue image inputs, and provide more reliable evidence for the clinical diagnosis of CAD, offering new biological characterization evidence. Methods: We recruited 684 patients from four hospitals in China for a cross-sectional study, collecting their baseline information and standardized tongue images to train and validate our CAD diagnostic algorithm. We used DeepLabV3 + for segmentation of the tongue body and employed Resnet-18, pretrained on ImageNet, to extract features from the tongue images. We applied DT (Decision Trees), RF (Random Forest), LR (Logistic Regression), SVM (Support Vector Machine), and XGBoost models, developing CAD diagnostic models with inputs of risk factors alone and then with the additional inclusion of tongue image features. We compared the diagnostic performance of different algorithms using accuracy, precision, recall, F1-score, AUPR, and AUC. Results: We classified patients with CAD using tongue images and found that this classification criterion was effective (ACC = 0.670, AUC = 0.690, Recall = 0.666). After comparing algorithms such as Decision Tree (DT), Random Forest (RF), Logistic Regression (LR), Support Vector Machine (SVM), and XGBoost, we ultimately chose XGBoost to develop the CAD diagnosis algorithm. The performance of the CAD diagnosis algorithm developed solely based on risk factors was ACC = 0.730, Precision = 0.811, AUC = 0.763. When tongue features were integrated, the performance of the CAD diagnosis algorithm improved to ACC = 0.760, Precision = 0.773, AUC = 0.786, Recall = 0.850, indicating an enhancement in performance. Conclusion: The use of tongue images in the diagnosis of CAD is feasible, and the inclusion of these features can enhance the performance of existing CAD diagnosis algorithms. We have customized this novel CAD diagnosis algorithm, which offers the advantages of being noninvasive, simple, and cost-effective. It is suitable for large-scale screening of CAD among hypertensive populations. Tongue image features may emerge as potential biomarkers and new risk indicators for CAD.

RESUMEN

Given the significant global concern about heavy metal pollution, the development of effective adsorbents to capture pollutants has become an urgent issue. In this work, thiol-functionalized defective Zr-MSA-DMSA was designed by mixing 2,3-dimercaptosuccinic acid and mercaptosuccinic acid, which was applied for the rapid and efficient removal of M(II) (i.e., Pb(II), Hg(II), Cd(II)) from wastewater. Zr-MSA-DMSA exhibited excellent adsorption performance, and the maximum adsorption capacities for Pb(II), Hg(II), and Cd(II) were 715.2 mg g-1, 862.7 mg g-1, and 450.5 mg g-1. In actual wastewater, Zr-DMSA-MSA exhibited up to 97 % M(II) removal efficiency and excellent anti-interference ability. It also maintained good structural stability after five adsorption/regeneration cycles. Thus, the abundant oxygen vacancies and unsaturated adsorption sites on Zr-MSA-DMSA significantly improved the adsorption performance of M(II). Spectral analysis and DFT calculations confirmed that Zr-MSA-DMSA mainly relied on the coordination of sulfur and oxygen atoms, electrostatic attraction and a large number of defective sites to achieve the adsorption of M(II). Fixed bed experiments showed that Zr-MSA-DMSA exhibited a depletion time of 10500 min and a volume of 7.0 L. In summary, Zr-MSA-DMSA holds significant potential for treating heavy metal wastewater and provides potential applications for defect engineering.

RESUMEN

Objective: To identify factors that influence the severity of tinnitus via a hierarchical multiple linear regression model. Methods: The study was a retrospective cross-sectional analysis. The study included 331 patients experiencing tinnitus as their primary concern, who visited Shanghai Changzheng Hospital of the Navy Medical University between 2019 and 2021. Data on general health status and disease characteristics were collected from all patients. With their consent, participants underwent audiological evaluatons and completed questionnaires to analyze the characteristics of their tinnitus and the factors influencing its severity. Results: The correlation analysis showed a positive relationship between tinnitus frequency, tinnitus loudness, SAS scores, and PSQI scores with THI scores (P < 0.05) among nine examined variables (gender, handedness, employment status, age, BMI, tinnitus frequency, tinnitus loudness, SAS scores, and PSQI scores). The variables that were extracted from the multiple regression were; for the constant; ß = -51.797, t = -4.484, P < 0.001, variable is significant; for the tinnitus loudness; ß = 0.161, t = 2.604, P < 0.05, variable is significant; for the tinnitus frequency; ß = 0.000, t = 1.269, P = 0.206, variable is not significant; for the SAS scores; ß = 1.310, t = 7.685, P < 0.001, variable is significant; for the PSQI scores; ß = 1.680, t = 5.433, P < 0.001, variable is significant. Therefore, the most accurate model for predicting severity in tinnitus patients is a linear combination of the constant, tinnitus loudness, SAS scores, and PSQI scores, Y(Tinnitus severity) = ß 0 + ß 1 (Tinnitus loudness) + ß 2 (SAS scores) + ß 3 (PSQI scores). ß 0, ß 1, ß 2, and ß 3 are -51.797, 0.161, 1.310 and 1.680, respectively. Conclusion: Tinnitus severity is positively associated with loudness, anxiety levels, and sleep quality. To effectively manage tinnitus in patients, it is essential to promptly identify and address these accompanying factors and related symptoms.

RESUMEN

Although the Omicron variant has been associated with greater transmissibility and tropism of the upper respiratory tract, the clinical and pathogenic features of patients infected with the Omicron variant during an outbreak in China have been unclear. Adults with COVID-19 were retrospectively enrolled from seven medical centers in Guangzhou, China, and clinical information and specimens ( BALF, sputum, and throat swabs) from participants were collected. Conventional detection methods, metagenomics next-generation sequencing (mNGS), and other methods were used to detect pathogens in lower respiratory tract samples. From December 2022 to January 2023, we enrolled 836 patients with COVID-19, among which 56.7% patients had severe/critical illness. About 91.4% of patients were infected with the Omicron strain (BA.5.2). The detection rate of possible co-infection pathogens was 53.4% by mNGS, including Klebsiella pneumoniae (16.3%), Aspergillus fumigatus (12.2%), and Pseudomonas aeruginosa (11.8%). The co-infection rate was 19.5%, with common pathogens being Streptococcus pneumoniae (11.5%), Haemophilus influenzae (9.2%), and Adenovirus (6.9%). The superinfection rate was 75.4%, with common pathogens such as Klebsiella pneumoniae (26.1%) and Pseudomonas aeruginosa (19.4%). Klebsiella pneumoniae (27.1%% vs 6.1%, P < 0.001), Aspergillus fumigatus (19.6% vs 5.3%, P = 0.001), Acinetobacter baumannii (18.7% vs 4.4%, P = 0.001), Pseudomonas aeruginosa (16.8% vs 7.0%, P = 0.024), Staphylococcus aureus (14.0% vs 5.3%, P = 0.027), and Streptococcus pneumoniae (0.9% vs 10.5%, P = 0.002) were more common in severe cases. Co-infection and superinfection of bacteria and fungi are common in patients with severe pneumonia associated with Omicron variant infection. Sequencing methods may aid in the diagnosis and differential diagnosis of pathogens. IMPORTANCE: Our study has analyzed the clinical characteristics and pathogen spectrum of the lower respiratory tract associated with co-infection or superinfection in Guangzhou during the outbreak of the Omicron strain, particularly after the relaxation of the epidemic prevention and control strategy in China. This study will likely prompt further research into the specific issue, which will benefit clinical practice.

RESUMEN

Indole­3­propionic acid (IPA), a product of Clostridium sporogenes metabolism, has been shown to improve intestinal barrier function. In the present study, in vitro experiments using NCM460 human colonic epithelial cells were performed to investigate how IPA alleviates lipopolysaccharide (LPS)­induced intestinal epithelial cell injury, with the aim of improving intestinal barrier function. In addition, the underlying mechanism was explored. NCM460 cell viability and apoptosis were measured using the Cell Counting Kit­8 assay and flow cytometry, respectively. The integrity of the intestinal epithelial barrier was evaluated by measuring transepithelial electrical resistance (TEER). The underlying molecular mechanism was explored using western blotting, immunofluorescence staining, a dual luciferase reporter gene assay and quantitative PCR. The results showed that 10 µg/ml LPS induced the most prominent decrease in cell viability after 24 h of treatment. By contrast, IPA effectively inhibited LPS­induced apoptosis in the intestinal epithelial cells. Additionally, >0.5 mM IPA improved intestinal barrier function by increasing TEER and upregulating the expression of tight junction proteins (zonula occludens­1, claudin­1 and occludin). Furthermore, IPA inhibited the release of pro­inflammatory cytokines (IL­1ß, IL­6 and TNF­α) in a dose­dependent manner and this was achieved via regulation of the Toll­like receptor 4 (TLR4)/myeloid differentiation factor 88/NF­κB and TLR4/TRIF/NF­κB pathways. In conclusion, IPA may alleviate LPS­induced inflammatory injury in human colonic epithelial cells. Taken together, these results suggest that IPA may be a potential therapeutic approach for the management of diseases characterized by LPS­induced intestinal epithelial cell injury and intestinal barrier dysfunction.

Asunto(s)

Apoptosis , Células Epiteliales , Indoles , Mucosa Intestinal , Lipopolisacáridos , FN-kappa B , Transducción de Señal , Receptor Toll-Like 4 , Humanos , Receptor Toll-Like 4/metabolismo , FN-kappa B/metabolismo , Mucosa Intestinal/metabolismo , Mucosa Intestinal/efectos de los fármacos , Células Epiteliales/metabolismo , Células Epiteliales/efectos de los fármacos , Transducción de Señal/efectos de los fármacos , Lipopolisacáridos/efectos adversos , Indoles/farmacología , Apoptosis/efectos de los fármacos , Línea Celular , Supervivencia Celular/efectos de los fármacos , Funcion de la Barrera Intestinal

RESUMEN

Abnormalities in coagulation and fibrinolytic status have been demonstrated to be relevant to inflammatory bowel disease. Nevertheless, there is no study to methodically examine the role of the coagulation and fibrinolysis-related genes in the diagnosis of ulcerative colitis (UC). UC-related datasets (GSE169568 and GSE94648) were originated from the Gene Expression Omnibus database. The biomarkers related to coagulation and fibrinolysis were identified through combining differentially expressed analysis and machine learning algorithms. Moreover, Gene Set Enrichment Analysis and immune analysis were carried out. A total of 4 biomarkers (MAP2K1, CREBBP, TAF1, and HP) were identified, and biomarkers were markedly enriched in pathways related to immunity, such as T-cell receptor signaling pathway, primary immunodeficiency, chemokine signaling pathway, etc. In total, the infiltrating abundance of 4 immune cells between UC and control was markedly different, namely eosinophils, macrophage M0, resting mast cells, and regulatory T cells. And all biomarkers were significantly relevant to eosinophils. Our findings detected 4 coagulation and fibrinolysis-related biomarkers (MAP2K1, CREBBP, TAF1, and HP) for UC, which contributed to the advancement of UC for further clinical investigation.

Asunto(s)

Biomarcadores , Proteína de Unión a CREB , Colitis Ulcerosa , Biología Computacional , Fibrinólisis , Humanos , Colitis Ulcerosa/diagnóstico , Colitis Ulcerosa/sangre , Colitis Ulcerosa/genética , Biomarcadores/sangre , Proteína de Unión a CREB/genética , Proteína de Unión a CREB/sangre , Coagulación Sanguínea , Factor de Transcripción TFIID/genética , Factor de Transcripción TFIID/sangre , Aprendizaje Automático , Carboxipeptidasa B2/sangre , Carboxipeptidasa B2/genética

RESUMEN

With the increase of antimicrobial resistance, rapid antibiotic susceptibility testing (AST) to guide precise antibiotic administration has become increasingly important. However, current gold standard AST approaches tend to take up to 24-48 h. In this work, based on the nature of catalase-positive bacteria decomposing H2O2, we developed a rapid, portable, straightforward, and cost-effective phenotypic AST approach by detecting residual H2O2 using a Pt nanoparticles-based electrochemical sensor. The pulse current of the sensor exhibited a linear increase with rising H2O2 concentration, demonstrating a high sensitivity of ∼382.2 µA cm-2 mM-1. This approach showed superb diagnostic performance, with an area under the curve of 1 for 24 clinical samples of Escherichia coli and Staphylococcus aureus, with a total detection time of 60 and 45 min, respectively. Furthermore, the performance of the sensor showed no degradation even after 100 detections, promising a substantial reduction in AST costs. Overall, the proposed approach exhibited immense potential for diagnosing bacterial antibiotic resistance.

RESUMEN

OBJECT: This study aims to explore the clinical and pathologic characteristics of HPV-related primary thyroid squamous cell carcinoma (PSCCT), a rare tumor classified by WHO-5 as a subtype of anaplastic thyroid carcinoma (ATC). METHODS: Clinical data, histomorphology, immunohistochemistry, HPV detection, and B-raf gene point mutations of 3 PSCCT cases were analyzed. Subsequent follow-up was conducted post-treatment. RESULTS: All 3 cases involved female patients aged between 60 and 76. Microscopic examination revealed squamous cell carcinoma in cases 1 and 3, whereas case 2 exhibited both squamous cell carcinoma and papillary thyroid carcinoma components. Immunohistochemistry demonstrated CK19, PAX8, and TTF1 expression in the papillary thyroid carcinoma component, and CK5/6, p63, p40, and PAX8 expression in the squamous cell carcinoma component. P16 exhibited diffuse positivity in both squamous cell carcinoma and classic papillary carcinoma. HPV analysis identified low-risk type 6 positivity in cases 1 and 3, while both squamous cell carcinoma and papillary carcinoma areas in case 2 were positive for HPV-33. B-raf gene mutation was exclusive to case 2. CONCLUSION: Diagnosis of PSCCT necessitates multidisciplinary assessment, incorporating clinical symptoms, imaging, histomorphology, and immunohistochemistry. This study, for the first time, reveals the presence of HPV DNA in both PTC and PSCCT, occurring concurrently but separately. Given the limited scope of 3 case reports, definitive conclusions cannot be drawn, warranting further investigation.

RESUMEN

The development of luminescent organic radicals has resulted in materials with excellent optical properties for near-infrared emission. Applications of light generation in this range span from bioimaging to surveillance. Although the unpaired electron arrangements of radicals enable efficient radiative transitions within the doublet-spin manifold in organic light-emitting diodes, their performance is limited by non-radiative pathways introduced in electroluminescence. Here we present a host-guest design for organic light-emitting diodes that exploits energy transfer with up to 9.6% external quantum efficiency for 800 nm emission. The tris(2,4,6-trichlorophenyl)methyl-triphenyl-amine radical guest is energy-matched to the triplet state in a charge-transporting anthracene-derivative host. We show from optical spectroscopy and quantum-chemical modelling that reversible host-guest triplet-doublet energy transfer allows efficient harvesting of host triplet excitons.

RESUMEN

Pathogenic microorganisms have been detected in fermented food. Combining the enormous class of the pathogens and their continuously appearing mutants or novel species, it is important to select suitable and safe antibacterial agents for fermented food safety. Lactic acid bacteria (LAB) which produce diverse imperative antimicrobial metabolites have an immense number of applications in the food industry. Here, the human-derived strain YT was isolated due to its cell-free supernatant (CFS-YT) and cells (Cs-YT), respectively performed obvious inhibitory ring to Gram-positive and -negative spoilage bacteria. Strain YT was identified as Lacticaseibacillus rhamnosus by the 16s rDNA sequence and morphology. The antibacterial activity of CFS-YT was demonstrated to be growth-dependent, pHs-sensitive, broadly thermostable and enzyme-insensitive. Cs-YT displayed a broad antibacterial spectrum with the action mode of bacteriostasis. The antibacterial activity of Cs-YT was due to substances located at the cell surface which were sensitive to heat, stable at broad pH gradients and sensitive to specific enzymes. These data suggested that L. rhamnosus YT could be used as an alternative antimicrobial agent in fermented food biopreservation.

RESUMEN

DNA N6-methyladenine (6mA) demethylase ALKBH1 plays an important role in various cellular processes. Dysregulation of ALKBH1 is associated with the development of some cancer types, including gastric cancer, implicating a potential therapeutic target. However, there is still a lack of potent ALKBH1 inhibitors. Herein, we report the discovery of a highly potent ALKBH1 inhibitor, 1H-pyrazole-4-carboxylic acid derivative 29. The structure-activity relationship of this series of compounds was also discussed. Because of the poor cell membrane permeability of 29, we prepared a prodrug of 29 (29E), which showed excellent cellular activities. In gastric cancer cell lines HGC27 and AGS, 29E treatment significantly increased the abundance of 6mA, inhibited cell viability, and upregulated the AMP-activated protein kinase (AMPK) signaling pathway. In addition, the hydrolysis product 29 showed high exposure in mice after administration of 29E. Collectively, this research provides a new potent ALKBH1 inhibitor, which could serve as a lead compound for subsequent drug development.

Asunto(s)

Histona H2a Dioxigenasa, Homólogo 1 de AlkB , Antineoplásicos , Inhibidores Enzimáticos , Pirazoles , Neoplasias Gástricas , Humanos , Relación Estructura-Actividad , Histona H2a Dioxigenasa, Homólogo 1 de AlkB/metabolismo , Neoplasias Gástricas/tratamiento farmacológico , Neoplasias Gástricas/patología , Animales , Pirazoles/farmacología , Pirazoles/química , Pirazoles/síntesis química , Ratones , Antineoplásicos/farmacología , Antineoplásicos/química , Antineoplásicos/síntesis química , Inhibidores Enzimáticos/farmacología , Inhibidores Enzimáticos/química , Inhibidores Enzimáticos/síntesis química , Línea Celular Tumoral , Ácidos Carboxílicos/química , Ácidos Carboxílicos/farmacología , Ácidos Carboxílicos/síntesis química , Proliferación Celular/efectos de los fármacos , Estructura Molecular , Simulación del Acoplamiento Molecular , Ratones Desnudos , Ratones Endogámicos BALB C

RESUMEN

The priming effect, i.e., the changes in soil organic matter (SOM) decomposition following fresh organic carbon (C) inputs is known to influence C storage in terrestrial ecosystems. Microplastics (particle size <5 mm) are ubiquitous in soils due to the increasing use and often inadequate end-of-life management of plastics. Conventional polyethylene and bio-degradable (PHBV) plastics contain large amounts of C within their molecular structure, which can be assimilated by microorganisms. However, the extent and direction of the potential priming effect induced by microplastics is unclear. As such, we added 14C-labeled glucose to investigate how background polyethylene and PHBV microplastics (1 %, w/w) affect SOM decomposition and its potential microbial mechanisms in a short-term. The cumulative CO2 emission in soil contaminated with PHBV was 42-53 % higher than under Polyethylene contaminated soil after 60-day incubation. Addition of glucose increased SOM decomposition and induced a positive priming effect, as a consequence, caused a negative net soil C balance (-59 to -132 µg C g-1 soil) regardless of microplastic types. K-strategists dominated in the PHBV-contaminated soils and induced 72 % higher positive priming effects as compared to Polyethylene-contaminated soils (160 vs. 92 µg C g-1 soil). This was attributed to the enhanced decomposition of recalcitrant SOM to acquire nitrogen. The stronger priming effect associated in PHBVs can be attributed to cooperative decomposition among fungi and bacteria, which metabolize more recalcitrant C in PHBV. Moreover, comparatively higher calorespirometric ratios, lower substrate use efficiency, and larger enzyme activity but shorter turnover time of enzymes indicated that soil contaminated with PHBV release more energy, and have a more efficient microbial catabolism and are more efficient in SOM decomposition and nutrient resource uptake. Overall, microplastics, (especially bio-degradable microplastics) can alter biogeochemical cycles with significant negative consequences for C sequestration via increasing SOM decomposition in agricultural soils and for regional and global C budgets.