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Asian Pacific Journal of Cancer... Jun 2024Tongue cancer is the most prevalent type of oral cancer. Recently, natural compounds have been considered important resources for several anticancer drugs. Thymoquinone...
BACKGROUND
Tongue cancer is the most prevalent type of oral cancer. Recently, natural compounds have been considered important resources for several anticancer drugs. Thymoquinone (TQ) exhibits a potent anti-cancer effect. 5-Fluorouracil (5-FU) is a chemotherapeutic drug that has been utilized in the treatment of cancer. Recently, combination therapy has gained popularity as a treatment option for patients with cancer.
OBJECTIVES
The present study was carried out to assess the cytotoxic effect of 5-Fluorouracil (5-FU), Thymoquinone (TQ), and their combination on tongue squamous cell carcinoma cell line (HNO-97).
METHODS
Tongue carcinoma cell line (HNO-97) was maintained in cultured flasks and the cells were divided into four groups; group Ι: control untreated group, group ΙΙ: HNO-97-treated cells with different concentrations of 5-FU from 0.5 µM/ml to 3µM/ml, group ΙIΙ: HNO-97-treated cells with different concentrations of TQ from 7.25µM/ml to 23.05µM/ml, and group ΙV: HNO-97-treated cells with both 5-FU and TQ in serial concentrations till (IC50) in a dose of 27.44 µM/ml. Determination of the cytotoxic effect of the tested agents on the HNO-97 cell line was done using methyl thiazole tetrazolium assay, nuclear morphometric analysis, microscopic examination, and annexin-v/ propidium iodide staining assay.
RESULT
The findings revealed that the cytotoxic effect of 5-FU, TQ, and their combination on tongue squamous cell carcinoma cell line (HNO-97) was dose-dependent. The microscopic examination revealed that 5-FU, TQ alone, or their combination induced apoptotic cell death. P-value < 0.05 was statistically significant.
CONCLUSION
The combination of 5-FU and TQ produced a marked cytotoxic effect on HNO-97 cells.
Topics: Humans; Fluorouracil; Benzoquinones; Tongue Neoplasms; Carcinoma, Squamous Cell; Apoptosis; Cell Proliferation; Tumor Cells, Cultured; Antineoplastic Combined Chemotherapy Protocols; In Vitro Techniques; Cell Line, Tumor; Drug Synergism
PubMed: 38918680
DOI: 10.31557/APJCP.2024.25.6.2169 -
International Journal of Surgery Case... Jun 2024Large cell neuroendocrine carcinomas of the colon (LCNECC) are exceptionally rare, comprising only 0.2 % of all colonic carcinomas. Their diagnosis poses a significant...
INTRODUCTION AND IMPORTANCE
Large cell neuroendocrine carcinomas of the colon (LCNECC) are exceptionally rare, comprising only 0.2 % of all colonic carcinomas. Their diagnosis poses a significant challenge due to their propensity to mimic colonic adenocarcinomas. Typically diagnosed at advanced stages, LCNECCs carry a grim prognosis. Herein, we present a rare case of LCNECC and aim to elucidate its clinico-pathological characteristics.
CASE PRESENTATION
A 56-year-old female patient presented with complaints of constipation, abdominal pain, and weight loss. On physical examination, a sizable mass was palpable in the right flank. Colonoscopy revealed a polyp in the descending colon and a friable multinodular stenosing mass in the ascending colon. Microscopic examination of the biopsy from the ascending colon mass exhibited a poorly differentiated large cell carcinomatous proliferation with positivity for synaptophysin and CD56, along with a Ki-67 proliferation index of 50 %. The polyp in the descending colon was consistent with a low-grade dysplastic tubular adenoma. A diagnosis of LCNECC with synchronous low-grade dysplastic tubular adenoma was established. A right hemicoloctomy was performed. Final pathological examination confirmed LCNECC invading the muscularis propria, with lymph node metastases. The tumor was classified as pT2N1M0 (Stage III).
CLINICAL DISCUSSION
LCNECCs often mimic adenocarcinomas clinically, endoscopically, and radiologically. Pathological examination is the key for diagnosis. An immunohistochemical study using neuroendocrine markers is imperative to prevent overlooking the diagnosis of LCNECC.
CONCLUSION
LCNECCs represent rare aggressive carcinomas. Their diagnosis might be challenging. A better knowledge of this rare entities would enable early diagnosis.
PubMed: 38917703
DOI: 10.1016/j.ijscr.2024.109929 -
BioRxiv : the Preprint Server For... Jun 2024The kidney filters nutrient waste and bodily fluids from the bloodstream, in addition to secondary functions of metabolism and hormone secretion, requiring an...
UNLABELLED
The kidney filters nutrient waste and bodily fluids from the bloodstream, in addition to secondary functions of metabolism and hormone secretion, requiring an astonishing amount of energy to maintain its functions. In kidney cells, mitochondria produce adenosine triphosphate (ATP) and help maintain kidney function. Due to aging, the efficiency of kidney functions begins to decrease. Dysfunction in mitochondria and cristae, the inner folds of mitochondria, is a hallmark of aging. Therefore, age-related kidney function decline could be due to changes in mitochondrial ultrastructure, increased reactive oxygen species (ROS), and subsequent alterations in metabolism and lipid composition. We sought to understand if there is altered mitochondrial ultrastructure, as marked by 3D morphological changes, across time in tubular kidney cells. Serial block facing-scanning electron microscope (SBF-SEM) and manual segmentation using the Amira software were used to visualize murine kidney samples during the aging process at 3 months (young) and 2 years (old). We found that 2-year mitochondria are more fragmented, compared to the 3-month, with many uniquely shaped mitochondria observed across aging, concomitant with shifts in ROS, metabolomics, and lipid homeostasis. Furthermore, we show that the mitochondrial contact site and cristae organizing system (MICOS) complex is impaired in the kidney due to aging. Disruption of the MICOS complex shows altered mitochondrial calcium uptake and calcium retention capacity, as well as generation of oxidative stress. We found significant, detrimental structural changes to aged kidney tubule mitochondria suggesting a potential mechanism underlying why kidney diseases occur more readily with age. We hypothesize that disruption in the MICOS complex further exacerbates mitochondrial dysfunction, creating a vicious cycle of mitochondrial degradation and oxidative stress, thus impacting kidney health.
TRANSLATIONAL STATEMENT
Due to aging, the efficiency of kidney functions begins to decrease and the risk of kidney diseases may increase, but specific regulators of mitochondrial age-related changes are poorly explained. This study demonstrates the MICOS complex may be a target for mitigating age-related changes in mitochondria. The MICOS complex can be associated with oxidative stress and calcium dysregulation, which also arise in many kidney pathologies.
PubMed: 38915644
DOI: 10.1101/2024.06.09.598108 -
BioRxiv : the Preprint Server For... Jun 2024Connectomics provides essential nanometer-resolution, synapse-level maps of neural circuits to understand brain activity and behavior. However, few researchers have...
Connectomics provides essential nanometer-resolution, synapse-level maps of neural circuits to understand brain activity and behavior. However, few researchers have access to the high-throughput electron microscopes necessary to generate enough data for whole circuit or brain reconstruction. To date, machine-learning methods have been used after the collection of images by electron microscopy (EM) to accelerate and improve neuronal segmentation, synapse reconstruction and other data analysis. With the computational improvements in processing EM images, acquiring EM images has now become the rate-limiting step. Here, in order to speed up EM imaging, we integrate machine-learning into real-time image acquisition in a single-beam scanning electron microscope. This SmartEM approach allows an electron microscope to perform intelligent, data-aware imaging of specimens. SmartEM allocates the proper imaging time for each region of interest - scanning all pixels equally rapidly, then re-scanning small subareas more slowly where a higher quality signal is required to achieve accurate segmentability, in significantly less time. We demonstrate that this pipeline achieves a 7-fold acceleration of image acquisition time for connectomics using a commercial single-beam SEM. We apply SmartEM to reconstruct a portion of mouse cortex with the same accuracy as traditional microscopy but in less time.
PubMed: 38915594
DOI: 10.1101/2023.10.05.561103 -
BioRxiv : the Preprint Server For... Jun 2024Progress in histological methods and in microscope technology has enabled dense staining and imaging of axons over large brain volumes, but tracing axons over such...
Progress in histological methods and in microscope technology has enabled dense staining and imaging of axons over large brain volumes, but tracing axons over such volumes requires new computational tools for 3D reconstruction of data acquired from serial sections. We have developed a computational pipeline for automated tracing and volume assembly of densely stained axons imaged over serial sections, which leverages machine learning-based segmentation to enable stitching and alignment with the axon traces themselves. We validated this segmentation-driven approach to volume assembly and alignment of individual axons over centimeter-scale serial sections and show the application of the output traces for analysis of local orientation and for proofreading over aligned volumes. The pipeline is scalable, and combined with recent advances in experimental approaches, should enable new studies of mesoscale connectivity and function over the whole human brain.
PubMed: 38915568
DOI: 10.1101/2024.06.11.598365 -
BioRxiv : the Preprint Server For... Jun 2024Microscopic vascular invasion (VI) is predictive of recurrence and benefit from lobectomy in stage I lung adenocarcinoma (LUAD) but is difficult to assess in resection...
Microscopic vascular invasion (VI) is predictive of recurrence and benefit from lobectomy in stage I lung adenocarcinoma (LUAD) but is difficult to assess in resection specimens and cannot be accurately predicted prior to surgery. Thus, new biomarkers are needed to identify this aggressive subset of stage I LUAD tumors. To assess molecular and microenvironment features associated with angioinvasive LUAD we profiled 162 resected stage I tumors with and without VI by RNA-seq and explored spatial patterns of gene expression in a subset of 15 samples by high-resolution spatial transcriptomics (stRNA-seq). Despite the small size of invaded blood vessels, we identified a gene expression signature of VI from the bulk RNA-seq discovery cohort (n=103) and found that it was associated with VI foci, desmoplastic stroma, and high-grade patterns in our stRNA-seq data. We observed a stronger association with high-grade patterns from VI compared with VI tumors. Using the discovery cohort, we developed a transcriptomic predictor of VI, that in an independent validation cohort (n=60) was associated with VI (AUROC=0.86; p=5.42×10 ) and predictive of recurrence-free survival (HR=1.98; p=0.024), even in VI LUAD (HR=2.76; p=0.003). To determine our VI predictor's robustness to intra-tumor heterogeneity we used RNA-seq data from multi-region sampling of stage I LUAD cases in TRACERx, where the predictor scores showed high correlation (R=0.87, p<2.2×10 ) between two randomly sampled regions of the same tumor. Our study suggests that VI-associated gene expression changes are detectable beyond the site of intravasation and can be used to predict the presence of VI. This may enable the prediction of angioinvasive LUAD from biopsy specimens, allowing for more tailored medical and surgical management of stage I LUAD.
PubMed: 38915565
DOI: 10.1101/2024.06.07.597993 -
Plant Methods Jun 2024Taxonomic identification of wood specimens provides vital information for a wide variety of academic (e.g. paleoecology, cultural heritage studies) and commercial (e.g....
BACKGROUND
Taxonomic identification of wood specimens provides vital information for a wide variety of academic (e.g. paleoecology, cultural heritage studies) and commercial (e.g. wood trade) purposes. It is generally accomplished through the observation of key anatomical features. Classic methodologies mostly require destructive sub-sampling, which is not always acceptable. X-ray computed micro-tomography (µCT) is a promising non-destructive alternative since it allows a detailed non-invasive visualization of the internal wood structure. There is, however, no standardized approach that determines the required resolution for proper wood identification using X-ray µCT. Here we compared X-ray µCT scans of 17 African wood species at four resolutions (1 µm, 3 µm, 8 µm and 15 µm). The species were selected from the Xylarium of the Royal Museum for Central Africa, Belgium, and represent a wide variety of wood-anatomical features.
RESULTS
For each resolution, we determined which standardized anatomical features can be distinguished or measured, using the anatomical descriptions and microscopic photographs on the Inside Wood Online Database as a reference. We show that small-scale features (e.g. pits and fibres) can be best distinguished at high resolution (especially 1 µm voxel size). In contrast, large-scale features (e.g. vessel porosity or arrangement) can be best observed at low resolution due to a larger field of view. Intermediate resolutions are optimal (especially 3 µm voxel size), allowing recognition of most small- and large-scale features. While the potential for wood identification is thus highest at 3 µm, the scans at 1 µm and 8 µm were successful in more than half of the studied cases, and even the 15 µm resolution showed a high potential for 40% of the samples.
CONCLUSIONS
The results show the potential of X-ray µCT for non-destructive wood identification. Each of the four studied resolutions proved to contain information on the anatomical features and has the potential to lead to an identification. The dataset of 17 scanned species is made available online and serves as the first step towards a reference database of scanned wood species, facilitating and encouraging more systematic use of X-ray µCT for the identification of wood species.
PubMed: 38915095
DOI: 10.1186/s13007-024-01216-0 -
BMC Medical Imaging Jun 2024The assessment of in vitro wound healing images is critical for determining the efficacy of the therapy-of-interest that may influence the wound healing process....
BACKGROUND
The assessment of in vitro wound healing images is critical for determining the efficacy of the therapy-of-interest that may influence the wound healing process. Existing methods suffer significant limitations, such as user dependency, time-consuming nature, and lack of sensitivity, thus paving the way for automated analysis approaches.
METHODS
Hereby, three structurally different variations of U-net architectures based on convolutional neural networks (CNN) were implemented for the segmentation of in vitro wound healing microscopy images. The developed models were fed using two independent datasets after applying a novel augmentation method aimed at the more sensitive analysis of edges after the preprocessing. Then, predicted masks were utilized for the accurate calculation of wound areas. Eventually, the therapy efficacy-indicator wound areas were thoroughly compared with current well-known tools such as ImageJ and TScratch.
RESULTS
The average dice similarity coefficient (DSC) scores were obtained as 0.958 0.968 for U-net-based deep learning models. The averaged absolute percentage errors (PE) of predicted wound areas to ground truth were 6.41%, 3.70%, and 3.73%, respectively for U-net, U-net++, and Attention U-net, while ImageJ and TScratch had considerable averaged error rates of 22.59% and 33.88%, respectively.
CONCLUSIONS
Comparative analyses revealed that the developed models outperformed the conventional approaches in terms of analysis time and segmentation sensitivity. The developed models also hold great promise for the prediction of the in vitro wound area, regardless of the therapy-of-interest, cell line, magnification of the microscope, or other application-dependent parameters.
Topics: Deep Learning; Wound Healing; Microscopy; Humans; Image Processing, Computer-Assisted; Neural Networks, Computer
PubMed: 38914942
DOI: 10.1186/s12880-024-01332-2 -
Scientific Reports Jun 2024Investigating surfactant effects on the floatability of Wiser bituminous coal holds significant importance in improving coal cleanliness and utilization value. Using...
Investigating surfactant effects on the floatability of Wiser bituminous coal holds significant importance in improving coal cleanliness and utilization value. Using density functional theory and molecular dynamics simulation methods, this study constructed models of Wiser bituminous coal and examined the impact of different surfactants, including the anionic surfactant sodium dodecyl benzene sulfonate, the cationic surfactant hexadecyl trimethyl ammonium bromide (CTAB), and the non-ionic surfactant fatty alcohol ethoxylated ether. The focus was on investigating the charge distribution characteristics of these molecules and the modifying effect of binary surfactants on the hydrophobicity of bituminous coal. Results revealed that the maximum electrostatic potential was concentrated near oxygen/nitrogen/sulfur-containing functional groups like sulfonic acid groups, quaternary ammonium cations, ethylene oxide, hydroxyl groups, carboxyl groups, and sulfur bonds. These functional groups exhibited a propensity for accepting/delivering electrons to form hydrogen bonds. Among the surfactants tested, CTAB revealed the slightest difference in frontier orbital energy, measuring 3.187 eV, thereby demonstrating a superior trapping ability compared with the other two surfactants. Adsorption reactions within the system were determined to be spontaneous, with over 60% of the interaction force attributed to electrostatic forces. Moreover, the repulsive force magnitude with water molecules followed the trend: sulfonate group (2.20 Å) < ethylene oxide (2.43 Å) < quaternary ammonium cation (2.57 Å), indicating more excellent water repellency of CTAB. Findings showed that CTAE binary surfactants proved most effective in modifying the hydrophobicity of bituminous coal. This study offers valuable insights into reducing waste, pollution, and resource wastage.
PubMed: 38914729
DOI: 10.1038/s41598-024-65466-7 -
Scientific Data Jun 2024Hyperspectral (HS) imaging (HSI) technology combines the main features of two existing technologies: imaging and spectroscopy. This allows to analyse simultaneously the...
Hyperspectral (HS) imaging (HSI) technology combines the main features of two existing technologies: imaging and spectroscopy. This allows to analyse simultaneously the morphological and chemical attributes of the objects captured by a HS camera. In recent years, the use of HSI provides valuable insights into the interaction between light and biological tissues, and makes it possible to detect patterns, cells, or biomarkers, thus, being able to identify diseases. This work presents the HistologyHSI-GB dataset, which contains 469 HS images from 13 patients diagnosed with brain tumours, specifically glioblastoma. The slides were stained with haematoxylin and eosin (H&E) and captured using a microscope at 20× power magnification. Skilled histopathologists diagnosed the slides and provided image-level annotations. The dataset was acquired using custom HSI instrumentation, consisting of a microscope equipped with an HS camera covering the spectral range from 400 to 1000 nm.
Topics: Humans; Glioblastoma; Brain Neoplasms; Hyperspectral Imaging; Microscopy
PubMed: 38914542
DOI: 10.1038/s41597-024-03510-x