Secondary Breast Burkitt Lymphoma Involving the Stomach, Ovary, Pancreas, and Bones: A Case Report.

Breast lymphomas are rare, malignant breast neoplasms with a heterogeneous pattern of clinical symptoms. Burkitt's lymphoma is a rare, highly aggressive, and rapidly growing B-cell non-Hodgkin lymphoma. We report about a 27-year-old woman diagnosed as having secondary breast Burkitt's lymphoma, probably originating from the stomach, with multiple distant metastases. Breast ultrasonography revealed multiple, variable sized, heterogeneous masses with posterior acoustic enhancement and echogenic rims. These imaging findings may sometimes overlap with those of other breast malignancies. However, unlike other breast malignancies, lymphoma can be diagnosed by biopsy and does not require surgical excision. To avoid unnecessary treatment, radiologists and clinicians should be aware of the characteristic imaging features of breast lymphomas.

Latent profile analysis for assessing symptom clusters in women with breast cancer.

PURPOSE: To identify symptom clusters among breast cancer survivors and investigate differences in health-related quality of life (HRQoL) and distress based on these discerned symptom clusters using latent profile analysis. METHODS: We enrolled 655 adult breast cancer survivors aged 19 years and older, registered with the Cancer Survivor Integrated Supportive Center from May 2020 to July 2022. The study measured five symptoms-pain, fatigue, insomnia, anxiety, and depression-using a Visual Analogue Scale ranging from 0 to 10 points. Distress was measured using the National Comprehensive Cancer Network Distress Thermometer, with scores ranging from 0 to 10 points. HRQoL was determined using the EuroQol-5 Dimension questionnaire. Data analysis was conducted using the Jamovi and Mplus 8.8 software programs. RESULTS: The Cluster with Few Symptoms (46.8%) was the most common, whereas the Psychological Cluster with a very high degree of depression and anxiety accounted for 20.0%, and the Moderate symptom cluster with symptoms of 3 or more points accounted for 14.4%. Distress scores were relatively high in the Psychological Cluster and the Pain-Fatigue-Insomnia Cluster, and were lowest in the Cluster with Few Symptoms (F = 103.92, p < 0.001). HRQoL scores were highest in the Cluster with Few Symptoms and lowest in the Pain-Fatigue-Insomnia Cluster (F = 177.62, p < 0.001). CONCLUSIONS: Approximately half of breast cancer survivors who had completed the major treatment experienced persistent high symptoms such as depression and anxiety or pain, fatigue, and insomnia. IMPLICATIONS FOR CANCER SURVIVORS: These findings provide foundational data for developing tailored intervention strategies and programs based on symptom experiences.

Psychometric Testing of the Korean version of the Self-Care of Coronary Heart Disease Inventory Version 3.

PURPOSE: This methodological study evaluated the psychometric properties of the Self-Care of Coronary Heart Disease Inventory version 3 (SC-CHDI v3) in a Korean context. METHODS: The SC-CHDI v3 was translated into Korean following a rigorous translation process. Participants were 452 patients who had experienced coronary heart disease (CHD), all recruited from a tertiary hospital in Korea. Exploratory and confirmatory factor analyses were performed to test construct validity. Concurrent validity was examined by correlating scores from the Korean version of the SC-CHDI v3 with those from the Cardiac Self-Efficacy Scale. Internal consistency was analyzed using Cronbach's alpha and McDonald's omega. RESULTS: The Korean version of the SC-CHDI v3 consists of 21 items, excluding two from the original instrument. The self-care maintenance subscale identified a two-factor structure: "treatment adherence" and "health-promoting behaviors." The goodness-of-fit indices were satisfied: χ2 = 18.19, p = .110, comparative fit index (CFI) = .97, Tucker-Lewis Index (TLI) = .95, and standardized root mean square residual (SRMR) = .04. The self-care monitoring subscale consisted of a one-dimensional structure ("monitoring behaviors") and the goodness-of-fit indices were satisfied: χ2 = 19.19, p = .059, CFI = .99, TLI = .99, and SRMR = .04. The self-care management subscales had a two-factor structure of "consulting behaviors" and "problem-solving behaviors." The goodness-of-fit indices were satisfied: χ2 = 16.44, p = .037, CFI = .99, TLI = .98, and SRMR = .03. Scores from the Cardiac Self-Efficacy Scale showed a positive correlation with the Korean version of SC-CHDI v3 subscales. Reliability estimates were ≥ .80 for all subscales except for the self-care maintenance subscale. CONCLUSIONS: The Korean version of the SC-CHDI v3 consists of 21 items in 3 subscales and is a valid and reliable instrument. Therefore, healthcare providers can effectively utilize it to assess the self-care levels of patients with CHD.

Factors influencing psychological distress among breast cancer survivors using machine learning techniques.

Breast cancer is the most commonly diagnosed cancer among women worldwide. Breast cancer patients experience significant distress relating to their diagnosis and treatment. Managing this distress is critical for improving the lifespan and quality of life of breast cancer survivors. This study aimed to assess the level of distress in breast cancer survivors and analyze the variables that significantly affect distress using machine learning techniques. A survey was conducted with 641 adult breast cancer patients using the National Comprehensive Cancer Network Distress Thermometer tool. Participants identified various factors that caused distress. Five machine learning models were used to predict the classification of patients into mild and severe distress groups. The survey results indicated that 57.7% of the participants experienced severe distress. The top-three best-performing models indicated that depression, dealing with a partner, housing, work/school, and fatigue are the primary indicators. Among the emotional problems, depression, fear, worry, loss of interest in regular activities, and nervousness were determined as significant predictive factors. Therefore, machine learning models can be effectively applied to determine various factors influencing distress in breast cancer patients who have completed primary treatment, thereby identifying breast cancer patients who are vulnerable to distress in clinical settings.

Far-infrared irradiation increases the uptake of LDL cholesterol by downregulating PCSK9 through the activation of TRPV4 calcium channels in HepG2 cells.

This study investigated the effects of far-infrared (FIR) irradiation on low-density lipoprotein cholesterol (LDL-C) uptake by human hepatocellular carcinoma G2 (HepG2) cells via the regulation of proprotein convertase subtilisin/kexin type 9 (PCSK9). FIR irradiation for 30 min significantly decreased PCSK9 expression (p < 0.01) in HepG2 cells. FIR irradiation substantially increased the low-density lipoprotein receptor (p < 0.0001) and LDL-C uptake (p < 0.01). Activation of transient receptor potential vanilloid (TRPV) channels mimicked the effects of FIR irradiation, significantly decreasing the protein expression of PCSK9 (p < 0.05). Conversely, inhibition of TRP channels using ruthenium red reversed the reduction in PCSK9 protein expression following FIR irradiation (p < 0.01). The specific activation of TRPV4 using 4α-PDD mimicked the effect of FIR irradiation (p < 0.01), whereas PCSK9 reduction by FIR irradiation was significantly reversed by the inhibition of TRPV4 using RN1734 (p < 0.05). These findings implied that FIR irradiation emitted from a ceramic lamp specifically increased TRPV4 activity. These findings provide insights into a novel therapeutic approach using FIR irradiation for LDL-C regulation and its implications for cardiovascular health.

RUFY4 deletion prevents pathological bone loss by blocking endo-lysosomal trafficking of osteoclasts.

Mature osteoclasts degrade bone matrix by exocytosis of active proteases from secretory lysosomes through a ruffled border. However, the molecular mechanisms underlying lysosomal trafficking and secretion in osteoclasts remain largely unknown. Here, we show with GeneChip analysis that RUN and FYVE domain-containing protein 4 (RUFY4) is strongly upregulated during osteoclastogenesis. Mice lacking Rufy4 exhibited a high trabecular bone mass phenotype with abnormalities in osteoclast function in vivo. Furthermore, deleting Rufy4 did not affect osteoclast differentiation, but inhibited bone-resorbing activity due to disruption in the acidic maturation of secondary lysosomes, their trafficking to the membrane, and their secretion of cathepsin K into the extracellular space. Mechanistically, RUFY4 promotes late endosome-lysosome fusion by acting as an adaptor protein between Rab7 on late endosomes and LAMP2 on primary lysosomes. Consequently, Rufy4-deficient mice were highly protected from lipopolysaccharide- and ovariectomy-induced bone loss. Thus, RUFY4 plays as a new regulator in osteoclast activity by mediating endo-lysosomal trafficking and have a potential to be specific target for therapies against bone-loss diseases such as osteoporosis.

Embryonic development through in vitro fertilization using high-quality bovine sperm separated in a biomimetic cervix environment.

This study is the first to identify bovine blastocysts through in vitro fertilization (IVF) of matured oocytes with a large quantity of high-quality sperm separated from a biomimetic cervix environment. We obtained high-quality sperm in large quantities using an IVF sperm sorting chip (SSC), which could mimic the viscous environment of the bovine cervix during ovulation and facilitates isolation of progressively motile sperm from semen. The viscous environment-on-a-chip was realized by formulating and implementing polyvinylpyrrolidone (PVP)-based solutions for the SSC medium. Sperm separated from the IVF-SSC containing PVP 1.5% showed high motility, normal morphology and high DNA integrity. As a result of IVF, a higher rate of hatching blastocysts, which is the pre-implantation stage, were observed, compared to the conventional swim-up method. Our results may significantly contribute to improving livestock with superior male and female genetic traits, thus overcoming the limitation of artificial insemination based on the superior genetic traits of existing males.

Influence of Dietary Polyunsaturated Fatty Acid Intake on Potential Lipid Metabolite Diagnostic Markers in Renal Cell Carcinoma: A Case-Control Study.

Non-invasive diagnostics are crucial for the timely detection of renal cell carcinoma (RCC), significantly improving survival rates. Despite advancements, specific lipid markers for RCC remain unidentified. We aimed to discover and validate potent plasma markers and their association with dietary fats. Using lipid metabolite quantification, machine-learning algorithms, and marker validation, we identified RCC diagnostic markers in studies involving 60 RCC and 167 healthy controls (HC), as well as 27 RCC and 74 HC, by analyzing their correlation with dietary fats. RCC was associated with altered metabolism in amino acids, glycerophospholipids, and glutathione. We validated seven markers (l-tryptophan, various lysophosphatidylcholines [LysoPCs], decanoylcarnitine, and l-glutamic acid), achieving a 96.9% AUC, effectively distinguishing RCC from HC. Decreased decanoylcarnitine, due to reduced carnitine palmitoyltransferase 1 (CPT1) activity, was identified as affecting RCC risk. High intake of polyunsaturated fatty acids (PUFAs) was negatively correlated with LysoPC (18:1) and LysoPC (18:2), influencing RCC risk. We validated seven potential markers for RCC diagnosis, highlighting the influence of high PUFA intake on LysoPC levels and its impact on RCC occurrence via CPT1 downregulation. These insights support the efficient and accurate diagnosis of RCC, thereby facilitating risk mitigation and improving patient outcomes.

L-DOPA regulates neuroinflammation and Aß pathology through NEP and ADAM17 in a mouse model of AD.

Dopamine plays important roles in cognitive function and inflammation and therefore is involved in the pathogenesis of neurodegenerative diseases, including Alzheimer's disease (AD). Drugs that increase or maintain dopamine levels in the brain could be a therapeutic strategy for AD. However, the effects of dopamine and its precursor levodopa (L-DOPA) on Aß/tau pathology in vivo and the underlying molecular mechanisms have not been studied in detail. Here, we investigated whether L-DOPA treatment alters neuroinflammation, Aß pathology, and tau phosphorylation in 5xFAD mice, a model of AD. We found that L-DOPA administration significantly reduced microgliosis and astrogliosis in 5xFAD mice. In addition, L-DOPA treatment significantly decreased Aß plaque number by upregulating NEP and ADAM17 levels in 5xFAD mice. However, L-DOPA-treated 5xFAD mice did not exhibit changes in tau hyperphosphorylation or tau kinase levels. These data suggest that L-DOPA alleviates neuroinflammatory responses and Aß pathology but not tau pathology in this mouse model of AD.

Trajectories of Wok Adjustment and Influencing Factors Among Newly Registered Nurses.

PURPOSE: This study explored the work adjustment trajectory and its predictors and characteristics among newly registered nurses. METHODS: A total of 245 newly registered nurses working in a university hospital provided general baseline characteristics and completed a work adjustment questionnaire along with self-report measures of clinical competency, psychological capital, preceptor exchange, social support, and role conflict when they started working independently (baseline) and at 7 and 12 months after employment. Data were collected from July 2020 to August 2022. The collected data were subjected to a group-based trajectory model, χ2 test, F test, one-way ANOVA, and multiple logistic regression using SAS 9.4, and SPSS 25.0. RESULTS: Group-based trajectory modeling classified three newly registered nurse groups: nurses with a high work adjustment level in all subscales from the beginning of employment (early adjustment group, 16.1%), nurses with a moderate level of adjustment from beginning to end (standard adjustment group, 60.6%), and nurses with a low level of work adjustment from early to mid-term, rising later (delayed adjustment group, 23.3%). Higher hope, optimism, and emotional support predicted early and standard adjustments. CONCLUSIONS: Based on the trajectory characteristics, newly registered nurses need to improve their work adjustment. The early and standard adjustment groups should continuously monitor their levels of work adjustment while monitoring their hopes, optimism, and emotional support. In particular, the delayed adjustment group required customized educational programs and strengthened peer support.

Reducing nitrogen leaching using wood vinegar treated in urea-fertilized soil.

Wood vinegar (WV) is known to retard the release of ammonium (NH4+) from urea by inhibiting urea hydrolysis. However, the effect of WV on nitrogen leaching in soil is not known, and there are few studies on the effect of WV on microbial activity although WV exhibits antibacterial properties against pathogens in agriculture. Therefore, the purpose of this study was to investigate the effect of WV on controlling nitrogen leaching and soil microbial activity. Soils were treated with urea and WV, and the available inorganic nitrogen concentrations in the soil were compared with those from soils treated with N-(n-butyl)thiophosphoric triamide (NBPT), a commonly used urease inhibitor. The nitrate concentration in the soil was significantly decreased in the WV treatment, although the ammonium concentration was not affected by the WV treatment. Basal soil respiration was significantly increased in the WV and NBPT treatments although the microbial biomass was increased in the urea only treatment. The ammonium nitrogen concentration in the leachate was not significantly different in the WV and urea-treated soil compared to the urea-only treatment. However, the nitrate leaching increased in the soil treated only with urea at 16 days after the treatment although there was no statistically significant difference in the total leached nitrate. Therefore, WV can be used to reduce nitrogen leaching and enhance soil microbial activity.