Reproductive toxicity of perfluorobutane sulfonate in zebrafish (Danio rerio): Impacts on oxidative stress, hormone disruption and HPGL axis dysregulation

Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology, Journal Year: 2025, Volume and Issue: 289, P. 110122 - 110122

Published: Jan. 7, 2025

Language: Английский

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Nrf2 mediates mitochondrial and NADPH oxidase-derived ROS during mild heat stress at 40 °C

Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Journal Year: 2025, Volume and Issue: unknown, P. 119897 - 119897

Published: Jan. 1, 2025

Language: Английский

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Comprehensive Overview of Ketone Bodies in Cancer Metabolism: Mechanisms and Application

Biomedicines, Journal Year: 2025, Volume and Issue: 13(1), P. 210 - 210

Published: Jan. 16, 2025

Reprogramming energy metabolism is pivotal to tumor development. Ketone bodies (KBs), which are generated during lipid metabolism, fundamental bioactive molecules that can be modulated satisfy the escalating metabolic needs of cancer cells. At present, a burgeoning body research concentrating on KBs within tumors, investigating their roles as signaling mediators, drivers post-translational modifications, and regulators inflammation oxidative stress. The ketogenic diet (KD) may enhance sensitivity various cancers standard therapies, such chemotherapy radiotherapy, by exploiting reprogrammed cells shifting state from glucose reliance KB utilization, rendering it promising candidate for adjunct therapy. Nonetheless, numerous questions remain regarding expression key genes across different regulation activities, impact individual types. Further investigation imperative resolve conflicting data concerning synthesis functionality tumors. This review aims encapsulate intricate in elucidating comprehensive grasp mechanisms highlighting emerging clinical applications, thereby setting stage future investigations into therapeutic potential.

Language: Английский

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Tumor biomarkers contribute to the diagnosis and clinical management of the O-RADS MRI risk stratification system for epithelial ovarian tumors

World Journal of Surgical Oncology, Journal Year: 2025, Volume and Issue: 23(1)

Published: Jan. 4, 2025

To assess the effectiveness of tumor biomarkers in distinguishing epithelial ovarian tumors (EOTs) and guiding clinical decisions across each Ovarian-Adnexal Reporting Data System (O-RADS) MRI risk category, aim is to prevent unnecessary surgeries for benign lesions, avoid delays treating malignancies, benefit individuals requiring fertility preservation or those intolerant over-extensive surgery. A total 54 benign, 104 borderline, 203 malignant EOTs (BeEOTs, BEOTs MEOTs) were enrolled retrospectively assigned scores. The role diagnosing managing within category was evaluated by combining receiver operating characteristic (ROC) curves with clinicopathological characteristics. score 3 66.67% BeEOTs, 50.96% BEOTs, 13.80% MEOTs, whereas cancer antigen 125 (CA125) ≥ 60.39 U/ml helped identify MEOTs a low-risk time-intensity curve (TIC) prompt surgical assessment. Only 3.7% BeEOTs classified as O-RADS 4/5, 48.08% 86.2% classified, respectively. Overall, 4/5 are candidates semi-elective surgery owing low probability lesions. For ROMA index less than 20.14% (premenopausal) 29.9% (postmenopausal), minimally invasive recommended diagnostic therapeutic purposes. Comprehensive staging cytoreductive remaining patients, especially when not priority. primarily differentiates scores 2/4/5 from BEOTs/MEOTs, while further enhance diagnosis management 3/4/5. Future studies should focus on multi-center, prospective larger sample sizes validate refine integration biomarkers.

Language: Английский

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AI‐Driven Microscopy: Cutting‐Edge Approach for Breast Tissue Prognosis Using Microscopic Images

Microscopy Research and Technique, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Microscopic imaging aids disease diagnosis by describing quantitative cell morphology and tissue size. However, the high spatial resolution of these images poses significant challenges for manual evaluation. This project proposes using computer-aided analysis methods to address challenges, enabling rapid precise clinical diagnosis, course analysis, prognostic prediction. research introduces advanced deep learning frameworks such as squeeze-and-excitation dilated dense convolution blocks tackle complexities quantifying small intricate breast cancer tissues meeting real-time requirements pathological image analysis. Our proposed framework integrates a convolutional network (DenseNet) with an attention mechanism, enhancing capability accurate assessments. These multi-classification models facilitate prediction segmentation lesions in microscopic leveraging lightweight multi-scale feature extraction, dynamic region attention, sub-region classification, regional regularization loss functions. will employ transfer paradigms data enhancement enhance models' further prevent overfitting. We propose fine-tuning employing pre-trained architectures VGGNet-19, ResNet152V2, EfficientNetV2-B1, DenseNet-121, modifying final pooling layer each model's last block SPP associated BN layer. The study uses labeled unlabeled robust features classification abilities. method reduces costs time traditional methods, alleviating burden labeling computational pathology. goal is provide sophisticated, efficient solution, improving outcomes advancing field. model, trained, validated, tested on microscope dataset, achieved recognition accuracy 99.6% benign malignant secondary 99.4% eight subtypes classification. approach demonstrates substantial improvement compared existing which generally report lower accuracies subtype ranging between 85% 94%. level underscores potential our reliable diagnostic support, precision decision-making.

Language: Английский

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Association Between Urinary Metal Levels and Chronic Kidney Dysfunction in Rural China: A Study on Sex-Specific Differences

Toxics, Journal Year: 2025, Volume and Issue: 13(1), P. 55 - 55

Published: Jan. 14, 2025

Background: While current epidemiological studies have documented associations between environmental metals and renal dysfunction, the majority concentrated on plasma metal levels. The relationship urinary exposure chronic kidney disease (CKD) remains contentious, particularly within specific demographic groups. Methods: This cross-sectional study included 2919 rural Chinese adults recruited 2018 2019. Urine were measured by ICP-MS. Least absolute shrinkage selection operator (LASSO) regression was employed to identify significantly associated with CKD. Then, we used binary logistic regression, along restricted cubic spline (RCS) models, assess individual effects of Quantile g-computation, weighted quantile sum Bayesian kernel machine (BKMR) models applied evaluate combined exposures Gender-stratified analyses also conducted explore these associations. Results: LASSO identified seven (V, Cu, Rb, Sr, Ba, W, Pb) significant impacts In single-metal Cu W exhibited a positive correlation CKD, whereas V, Pb showed negative correlations (all p < 0.05). RCS analysis revealed nonlinear Pb, CKD p-nonlinear multi-metal model, quantile-based g-computation demonstrated collective association risk for mixed (OR (95% CI) = −0.430 (−0.656, −0.204); 0.001), contributing this effect. WQS model further confirmed joint CI): −0.885 (−1.083, −0.899); V as main contributor. BKMR indicated an overall impact mixture risk. Interactions may exist well Sr Pb. female subgroup in consistency association. Conclusions: Our findings demonstrate risk, notable females. Joint multiple involve synergistic or antagonistic interactions influencing function. Further research is needed validate observations elucidate underlying mechanisms.

Language: Английский

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Ephedra extract-mediated gold nanoparticles on Kaolin: A natural approach for reduction and stabilization, with evaluation of antioxidant and anti-ovarian cancer activities

Journal of Science Advanced Materials and Devices, Journal Year: 2025, Volume and Issue: unknown, P. 100853 - 100853

Published: Jan. 1, 2025

Language: Английский

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The concentration of malachite green in fish: a systematic review, meta-analysis, and probabilistic risk assessment

International Journal of Environmental Health Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 16

Published: Jan. 27, 2025

Malachite Green (MG) is an antibiotic with antifungal activity, which illegal to use in agriculture due its mutagenic and teratogenic properties. Several scientific papers have been published on MG fish. Therefore, attempt was made determine the meta-analysis concentration of fish based countries types subgroups, as well health risks consumers, using Monte Carlo simulation (MCS) model. The three highest were Iran (14.697 µg/kg), Brazil (2.840 China (2.277 µg/kg). overall pooled 3.036 µg/kg, 95%CI (2.860-3.212 observed Pacu (6.603 risk assessment shows adults Malaysia, China, children Italy, Spain, Brazil, are at considerable (MOE <10,000); hence, carrying out control plans these recommended.

Language: Английский

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Ultrasound-assisted biosynthesis of gelatin-gold nanocomposite: investigation of its antioxidant activity and its performance as anti-endometrial cancer in vitro

Transition Metal Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: March 10, 2025

Language: Английский

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Astragaloside IV Relieves Mitochondrial Oxidative Stress Damage and Dysfunction in Diabetic Mice Endothelial Progenitor Cells by Regulating the GSK-3β/Nrf2 Axis

Applied Biochemistry and Biotechnology, Journal Year: 2025, Volume and Issue: unknown

Published: March 25, 2025

Language: Английский

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