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The transformation of a benign phyllodes tumor (PT) into a malignant PT and/or carcinoma is extremely uncommon. We present a case of a 66-year-old female with a huge mass on the left breast which was successfully removed by surgical resection. The pathological diagnosis was infiltrating lobular carcinoma with pure rhabdoid features and the malignant transformation of a benign phyllodes tumor. The first time this rare case was reported, it is demonstrated a special phenomenon through the synchronous transformation of PT grades and the carcinomatous transformation of PT.
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INTRODUCTION AND IMPORTANCE: Bladder metastatic melanoma is a very uncommon condition. CASE PRESENTATION: On 62 reported cases, 55 studies have been done so far. We describe a 53-year-old woman with a hematuria who underwent transurethral resection of bladder lesions caused by metastatic melanoma for eight years ago after receiving her initial diagnosis of cutaneous malignant melanoma. CLINICAL DISCUSSION: We also review the medical literature to determine the prognosis of bladder metastatic melanoma. Synchronous metastases with metastatic melanoma to the bladder also reduces the mean survival compared with patients with metachronous metastases. CONCLUSION: Bladder metastatic melanoma combined with other factors, such as male, lymph node metastases, primary skin tumor, two or more bladder metastatic foci, and synchronous metastases are predictors of worse prognosis.
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PURPOSE: We aimed to assess knowledge, attitudes, and perceived barriers among health care professionals (HCPs), policymakers, and regulators in Vietnam related to opioid therapy for cancer pain. METHODS: We conducted a cross-sectional study in Vietnam from June to August 2022. Participants completed a questionnaire on their demographic characteristics, knowledge and attitudes toward opioid therapy, and barriers to accessing opioids for cancer pain. RESULTS: Two hundred seven HCPs and 15 policymakers/regulators completed the questionnaire. Poor knowledge about opioids in cancer pain was found in 63.3% of HCPs and 80.0% of policymakers/regulators. Poor knowledge was associated with a lack of training in cancer pain management or palliative care (PC; prevalence ratio [PR], 1.14 [95% CI, 1.04 to 1.24]). Negative attitudes toward opioid therapy in cancer pain were held by 64.7% of HCPs and 80.0% of policymakers/regulators. Negative attitudes were associated with the unavailability of oral morphine in the workplace (PR, 1.10 [95% CI, 1.01 to 1.20]). The most common major barriers reported were the absence of national policy on pain management and PC (34.7%), inadequate training in opioid use for cancer pain (33.8%), lockdown of health facilities during the COVID-19 pandemic (32.4%), limited opioid availability in local health facilities (32.4%), and excessively restrictive regulation of opioid dispensing in pharmacies (32.4%). CONCLUSION: This study found a knowledge deficit and negative attitudes toward opioid therapy for cancer pain among HCPs and policymakers/regulators. Improving education and training in opioid therapy is essential. Recognizing major barriers can guide strategies to enhance safe opioid accessibility for cancer pain management in Vietnam.
Subject(s)
Analgesics, Opioid , Cancer Pain , Health Knowledge, Attitudes, Practice , Health Personnel , Pain Management , Humans , Vietnam , Cross-Sectional Studies , Analgesics, Opioid/therapeutic use , Cancer Pain/drug therapy , Cancer Pain/psychology , Male , Female , Adult , Health Personnel/psychology , Health Personnel/education , Middle Aged , Pain Management/methods , Surveys and Questionnaires , Attitude of Health Personnel , COVID-19/epidemiology , COVID-19/prevention & control , Palliative Care/methodsABSTRACT
BACKGROUND: Recent evidence demonstrates that manually triggered vagus nerve stimulation (VNS) combined with rehabilitation leads to increased recovery of upper limb motor function after stroke. This approach is premised on studies demonstrating that the timing of stimulation relative to movements is a key determinant in the effectiveness of this approach. OBJECTIVE: The overall goal of the study was to identify an algorithm that could be used to automatically trigger VNS on the best movements during rehabilitative exercises while maintaining a desired interval between stimulations to reduce the burden of manual stimulation triggering. METHODS: To develop the algorithm, we analyzed movement data collected from patients with a history of neurological injury. We applied 3 different algorithms to the signal, analyzed their triggering choices, and then validated the best algorithm by comparing triggering choices to those selected by a therapist delivering VNS therapy. RESULTS: The dynamic algorithm triggered above the 95th percentile of maximum movement at a rate of 5.09 (interquartile range [IQR] = 0.74) triggers per minute. The periodic algorithm produces stimulation at set intervals but low movement selectivity (34.05%, IQR = 7.47), while the static threshold algorithm produces long interstimulus intervals (27.16 ± 2.01 seconds) with selectivity of 64.49% (IQR = 25.38). On average, the dynamic algorithm selects movements that are 54 ± 3% larger than therapist-selected movements. CONCLUSIONS: This study shows that a dynamic algorithm is an effective strategy to trigger VNS during the best movements at a reliable triggering rate.
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Algorithms , Stroke Rehabilitation , Vagus Nerve Stimulation , Humans , Male , Middle Aged , Female , Stroke Rehabilitation/methods , Adult , Aged , Upper Extremity/physiopathology , Movement/physiologyABSTRACT
Sleep apnea (SA) is a significant respiratory condition that poses a major global health challenge. Deep Learning (DL) has emerged as an efficient tool for the classification problem in electrocardiogram (ECG)-based SA diagnoses. Despite these advancements, most common conventional feature extractions derived from ECG signals in DL, such as R-peaks and RR intervals, may fail to capture crucial information encompassed within the complete ECG segments. In this study, we propose an innovative approach to address this diagnostic gap by delving deeper into the comprehensive segments of the ECG signal. The proposed methodology draws inspiration from Matrix Profile algorithms, which generate an Euclidean distance profile from fixed-length signal subsequences. From this, we derived the Min Distance Profile (MinDP), Max Distance Profile (MaxDP), and Mean Distance Profile (MeanDP) based on the minimum, maximum, and mean of the profile distances, respectively. To validate the effectiveness of our approach, we use the modified LeNet-5 architecture as the primary CNN model, along with two existing lightweight models, BAFNet and SE-MSCNN. Our experiment results on the PhysioNet Apnea-ECG dataset (70 overnight recordings), and the UCDDB dataset (25 overnight recordings) revealed that our new feature extraction method achieved per-segment accuracies of up to 92.11% and 81.25%, respectively. Moreover, using the PhysioNet data, we achieved a per-recording accuracy of 100% and yielded the highest correlation of 0.989 compared to state-of-the-art methods. By introducing a new feature extraction method based on distance relationships, we enhanced the performance of certain lightweight models in DL, showing potential for home sleep apnea test (HSAT) and SA detection in IoT devices. The source code for this work is made publicly available in GitHub: https://github.com/vinuni-vishc/MPCNN-Sleep-Apnea.
Subject(s)
Algorithms , Deep Learning , Electrocardiography , Signal Processing, Computer-Assisted , Sleep Apnea Syndromes , Humans , Sleep Apnea Syndromes/diagnosis , Sleep Apnea Syndromes/classification , Sleep Apnea Syndromes/physiopathology , Electrocardiography/methods , Neural Networks, ComputerABSTRACT
Three-dimensional (3D) cell culture systems are becoming increasingly popular due to their ability to mimic the complex process of angiogenesis in cancer, providing more accurate and physiologically relevant data than traditional two-dimensional (2D) cell culture systems. Microwell systems are particularly useful in this context as they provide a microenvironment that more closely resembles the in vivo environment than traditional microwells. Poly(ethylene glycol) (PEG) microwells are particularly advantageous due to their bio-inertness and the ability to tailor their material characteristics depending on the PEG molecular weight. Although there are several methods available for microwell fabrication, most of them are time-consuming and expensive. The current study utilizes a low-cost laser etching technique on poly(methyl methacrylate) materials followed by molding with PDMS to produce microwells. The optimal conditions for making concave microwells are an engraving parameter speed of 600 mm/s, power of 20%, and a design diameter of the microwell of 0.4 mm. The artificial tumor achieved its full size after 7 days of cell growth in a microwell system, and the cells developed drugs through a live/dead assay test. The results of the drug testing revealed that the IC50 value of zerumbone-loaded liposomes in HepG2 was 4.53 pM, which is greater than the IC50 value of zerumbone. The HepG2 cancer sphere's 3D platform for medication testing revealed that zerumbone-loaded liposomes were very effective at high doses. These findings generally imply that zerumbone-loaded liposomes have the capacity to target the liver and maintain medication delivery.
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Electroactive filament electrodes were synthesized by wet-spinning of cellulose nanofibrils (CNF) followed by femtosecond pulse laser deposition of ZnO (CNF@ZnO). A layer of conducting conjugated polymers was further adsorbed by in situ polymerization of either pyrrole or aniline, yielding systems optimized for electron conduction. The resultant hybrid filaments were thoroughly characterized by imaging, spectroscopy, electrochemical impedance, and small- and wide-angle X-ray scattering. For the filaments using polyaniline, the measured conductivity was a result of the synergy between the inorganic and organic layers, while the contribution was additive in the case of the systems containing polypyrrole. This observation is rationalized by the occurrence of charge transfer between ZnO and polyaniline but not that with polypyrrole. The introduced conductive hybrid filaments displayed a performance that competes with that of metallic counterparts, offering great promise for next-generation filament electrodes based on renewable nanocellulose.
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Despite the raised awareness of the role of pharmacogenomic (PGx) in personalized medicines for COVID-19, data for COVID-19 drugs is extremely scarce and not even a publication on this topic for post-COVID-19 medications to date. In the current study, we investigated the genetic variations associated with COVID-19 and post-COVID-19 therapies by using whole genome sequencing data of the 1000 Vietnamese Genomes Project (1KVG) in comparison with other populations retrieved from the 1000 Genomes Project Phase 3 (1KGP3) and the Genome Aggregation Database (gnomAD). Moreover, we also evaluated the risk of drug interactions in comorbid COVID-19 and post-COVID-19 patients based on pharmacogenomic profiles of drugs using a computational approach. For COVID-19 therapies, variants related to the response of two causal treatment agents (tolicizumab and ritonavir) and antithrombotic drugs are common in the Vietnamese cohort. Regarding post-COVID-19, drugs for mental manipulations possess the highest number of clinical annotated variants carried by Vietnamese individuals. Among the superpopulations, East Asian populations shared the most similar genetic structure with the Vietnamese population, whereas the African population showed the most difference. Comorbid patients are at an increased drug-drug interaction (DDI) risk when suffering from COVID-19 and after recovering as well due to a large number of potential DDIs which have been identified. Our results presented the population-specific understanding of the pharmacogenomic aspect of COVID-19 and post-COVID-19 therapy to optimize therapeutic outcomes and promote personalized medicine strategy. We also partly clarified the higher risk in COVID-19 patients with underlying conditions by assessing the potential drug interactions.
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Three naphthorosarins, antiaromatic expanded porphyrins bearing different meso substituents (NRos 1-3), designed to self-assemble into columnar liquid crystalline (LC) structures, were synthesized and characterized using polarized optical microscopy (POM), differential scanning calorimetry (DSC), X-ray diffraction (XRD), as well as supporting computational calculations. The substituents were found to play a crucial role in modulating the LC behaviour.
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BACKGROUND: The two-spotted spider mite Tetranychus urticae causes significant damage to ornamental, cotton, sugarcane and horticultural crops in Australia. It has a long history of developing resistance to many acaricides including bifenazate. A mutation in the conserved cd1- and ef-helices of the Qo pocket of cytochrome b is recognized as the primary mechanism of bifenazate resistance. To investigate the resistance mechanisms against bifenazate in Australian two-spotted spider mite, we sequenced the complete mitochondrion genome of five mite strains including a susceptible and bifenazate-resistant strain. RESULTS: We identified a novel mutation D252N in the G126S background at cytochrome b being the cause of bifenazate resistance in a bifenazate-resistant strain, Bram. We validated the role of this mutation combination by reciprocal crosses between a bifenazate resistant and susceptible strain. By doing these crosses we confirmed the pattern of inheritance was maternal. Additionally, mitochondrial heteroplasmy was not observed by single mite genotyping of the mutations in cytb in a known bifenazate-resistant strain Bram. The phylogenetic analysis with the complete mitochondrion genome sequences revealed that Australian two-spotted spider mite strains are closely related to the green form of T. urticae found in China. CONCLUSIONS: The novel mutation D252N found in the cytochrome b in the G126S background was revealed to be the main cause of bifenazate resistance in the Australian T. urticae strain Bram. © 2024 Society of Chemical Industry.
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Acaricides , Cytochromes b , Tetranychidae , Animals , Tetranychidae/genetics , Tetranychidae/drug effects , Cytochromes b/genetics , Acaricides/pharmacology , Mutation , Drug Resistance/genetics , Arthropod Proteins/genetics , Arthropod Proteins/metabolism , Phylogeny , Female , Carbamates , HydrazinesABSTRACT
Introduction: Ischaemic stroke often leaves serious sequelae affecting patients' daily activities and quality of life, especially shoulder pain. Shoulder pain after stroke often occurs in the first 3 months with an occurrence rate of 25-72% due to the strong natural neurological mechanism during the time, interferes with the recovery of motor function, increases hospital stay, is associated with depression, and limits mobility as well as inhibits treatment results. In Vietnam, Traditional Medicine (TM) has played an essential role in treating and rehabilitating shoulder pain after stroke for quite a long time. Studies on the pathology of shoulder pain (Jian Tong) after stroke in TM in Vietnam are still inadequate. Therefore, this study evaluated the severity and characteristics of post-stroke Jian Tong in patients with ischaemic stroke. Methods: The study was conducted from January 1, 2023-May 1, 2023. The study consisted of two phases: Phase 1: Searching TM documents and selecting the characteristics that appear in the documents as components for the questionnaire of phase 2. Phase 2: Conduct a cross-sectional study to investigate the characteristics of Jian Tong in 65 patients after ischaemic stroke in the early rehabilitation phase. Results: In phase 1, the study encoded 17 features of Jian Tong from 10 literary documents. In phase 2, we surveyed over 65 patients, and the result was that shoulder pain aggravated by exertion had the highest rate, whereas shoulder pain alleviated by cold and distended shoulder had the fewest. Pain level measured by Number Rating Scale (NRS) points and gender was significantly related to the characteristics of TM shoulder pain - Jian Tong (p < 0.05). Conclusion: The study demonstrated the pain level and the characteristics of Jian Tong in patients with ischaemic stroke in the early rehabilitation phase to contribute to the process of personalized diagnosing and treating Jian Tong after stroke for each patient, especially based on the theoretical basis and reasoning methods of Traditional Medicine.
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Puccinia coronata f. sp. avenae (Pca) is an important foliar pathogen of oat which causes crown rust disease. The virulence profile of 48 Pca isolates derived from different locations in Australia was characterized using a collection of oat lines often utilized in rust surveys in the United States and Australia. This analysis indicates that Pca populations in Eastern Australia are broadly virulent, which contrasts with the population in Western Australia (WA). Several oat lines/Pc genes are effective against all rust samples collected from WA, suggesting they may provide useful resistance in this region if deployed in combination. We identified 19 lines from the United States oat differential set that display disease resistance to Pca in WA, with some in agreement with previous rust survey reports. We adopted the 10-letter nomenclature system to define oat crown rust races in Australia and compare the frequency of those virulence traits to published data from the United States. Based on this nomenclature, 42 unique races were detected among the 48 isolates, reflecting the high diversity of virulence phenotypes for Pca in Australia. Nevertheless, the Pca population in the United States is substantially more broadly virulent than that of Australia. Close examination of resistance profiles for the oat differential set lines after infection with Pca supports hypotheses of allelism or redundancy among Pc genes or the presence of several resistance genes in some oat differential lines. These findings illustrate the need to deconvolute the oat differential set using molecular tools.[Formula: see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.
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Avena , Plant Diseases , Puccinia , Avena/microbiology , Plant Diseases/microbiology , Australia , Virulence/genetics , Puccinia/pathogenicity , Puccinia/genetics , Disease Resistance/genetics , United States , Basidiomycota/genetics , Basidiomycota/pathogenicity , Basidiomycota/physiologyABSTRACT
Puccinia coronata f. sp. avenae is the causal agent of the disease known as crown rust, which represents a bottleneck in oat production worldwide. Characterization of pathogen populations often involves race (pathotype) assignments using differential sets, which are not uniform across countries. This study compared the virulence profiles of 25 P. coronata f. sp. avenae isolates from Australia using two host differential sets, one from Australia and one from the United States. These differential sets were also genotyped using diversity arrays technology sequencing technology. Phenotypic and genotypic discrepancies were detected on 8 out of 29 common lines between the two sets, indicating that pathogen race assignments based on those lines are not comparable. To further investigate molecular markers that could assist in the stacking of rust resistance genes important for Australia, four published Pc91-linked markers were validated across the differential sets and then screened across a collection of 150 oat cultivars. Drover, Aladdin, and Volta were identified as putative carriers of the Pc91 locus. This is the first report to confirm that the cultivar Volta carries Pc91 and demonstrates the value of implementing molecular markers to characterize materials in breeding pools of oat. Overall, our findings highlight the necessity of examining seed stocks using pedigree and molecular markers to ensure seed uniformity and bring robustness to surveillance methodologies. [Formula: see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.
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Avena , Disease Resistance , Genotype , Plant Diseases , Puccinia , Avena/microbiology , Avena/genetics , Plant Diseases/microbiology , Disease Resistance/genetics , Australia , Puccinia/genetics , Phenotype , Virulence/genetics , United States , Genetic Markers/genetics , Basidiomycota/genetics , Basidiomycota/physiologyABSTRACT
Background: The suprachiasmatic nucleus (SCN) within the hypothalamus is a key brain structure required to relay light information to the body and synchronize cell and tissue level rhythms and hormone release. Specific subpopulations of SCN neurons, defined by their peptide expression, regulate defined SCN output. Here we focus on the vasoactive intestinal peptide (VIP) expressing neurons of the SCN. SCN VIP neurons are known to regulate circadian rhythms and reproductive function. Methods: To specifically study SCN VIP neurons, we generated a novel knock out mouse line by conditionally deleting the SCN enriched transcription factor, Ventral Anterior Homeobox 1 (Vax1), in VIP neurons (Vax1Vip; Vax1fl/fl:VipCre). Results: We found that Vax1Vip females presented with lengthened estrous cycles, reduced circulating estrogen, and increased depressive-like behavior. Further, Vax1Vip males and females presented with a shortened circadian period in locomotor activity and ex vivo SCN circadian period. On a molecular level, the shortening of the SCN period was driven, at least partially, by a direct regulatory role of VAX1 on the circadian clock genes Bmal1 and Per2. Interestingly, Vax1Vip females presented with increased expression of arginine vasopressin (Avp) in the paraventricular nucleus, which resulted in increased circulating corticosterone. SCN VIP and AVP neurons regulate the reproductive gonadotropin-releasing hormone (GnRH) and kisspeptin neurons. To determine how the reproductive neuroendocrine network was impacted in Vax1Vip mice, we assessed GnRH sensitivity to a kisspeptin challenge in vivo. We found that GnRH neurons in Vax1Vip females, but not males, had an increased sensitivity to kisspeptin, leading to increased luteinizing hormone release. Interestingly, Vax1Vip males showed a small, but significant increase in total sperm and a modest delay in pubertal onset. Both male and female Vax1Vip mice were fertile and generated litters comparable in size and frequency to controls. Conclusion: Together, these data identify VAX1 in SCN VIP neurons as a neurological overlap between circadian timekeeping, female reproduction, and depressive-like symptoms in mice, and provide novel insight into the role of SCN VIP neurons.
Subject(s)
Neuropeptides , Transcription Factors , Male , Female , Animals , Mice , Vasoactive Intestinal Peptide , Kisspeptins/genetics , Semen , Suprachiasmatic Nucleus , Reproduction , Neurons , Circadian Rhythm , Gonadotropin-Releasing Hormone , Homeodomain ProteinsABSTRACT
Existing data-driven approaches for exploring high-entropy alloys (HEAs) face three challenges: numerous element-combination candidates, designing appropriate descriptors, and limited and biased existing data. To overcome these issues, here we show the development of an evidence-based material recommender system (ERS) that adopts Dempster-Shafer theory, a general framework for reasoning with uncertainty. Herein, without using material descriptors, we model, collect and combine pieces of evidence from data about the HEA phase existence of alloys. To evaluate the ERS, we compared its HEA-recommendation capability with those of matrix-factorization- and supervised-learning-based recommender systems on four widely known datasets of up-to-five-component alloys. The k-fold cross-validation on the datasets suggests that the ERS outperforms all competitors. Furthermore, the ERS shows good extrapolation capabilities in recommending quaternary and quinary HEAs. We experimentally validated the most strongly recommended Fe-Co-based magnetic HEA (namely, FeCoMnNi) and confirmed that its thin film shows a body-centered cubic structure.
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Objective: To evaluate the antitumor activity both in vitro and in vivo of saponin–phospholipid complex of Panax notoginseng. Methods: The in vitro cytotoxic effect of saponins extract and saponin–phospholipid complex against human lung cancer NCI-H460 and breast cancer cell lines BT474 was examined using MTS assay. For in vivo evaluation of antitumor potential, saponin and saponin–phospholipid complex were administered orally in rats induced mammary carcinogenesis by 7,12-dimethylbenz(a)anthracene, for 30 days. Results: Our data showed that saponin–phospholipid complex had stronger anticancer effect compared to saponin extract. The IC50 values of saponin–phospholipid complex and saponin extract for NCI-H460 cell lines were 28.47μg/mL and 47.97μg/mL, respectively and these values for BT474 cells were 53.18μg/mL and 86.24μg/mL, respectively. In vivo experiments, administration of saponin, saponin–phospholipid complex and paclitaxel (positive control) effectively suppressed 7,12-dimethylbenz(a) anthracene-induced breast cancer evidenced by a decrease in tumor volume, the reduction of lipid peroxidation level and increase in the body weight, and elevated the enzymatic antioxidant activities of su-peroxide dismutase, catalase, glutathione peroxidase in rat breast tissue. Conclusions: Our study suggests that saponin extract from Panax notoginseng and saponin–phospholipid complex have potential to prevent cancer, especially breast cancer.