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Perspectives of Indonesian Muslim patients with advanced lung cancer on good death: A qualitative study

European Journal of Oncology Nursing 2023年 62卷 102251-102251页

作者： Pribadi, Dimas Ria Angga Shih, Whei-Mei Wu, Guey-Hau Lin, Hung-Ru PhD Program School of Nursing National Taipei University of Nursing and Health Sciences Taipei Taiwan Department of Nursing Muhammadiyah University of Surakarta Jawa Tengah Indonesia Department of Gerontology and Health Care Management Chang Gung University of Science and Technology Taoyuan Taiwan School of Nursing National Taipei University of Nursing and Health Sciences Taipei Taiwan

Purpose: Lung cancer is the leading cause of cancer-related death. Patients with advanced lung cancer may experience burdensome distress at the end of life. The concept of good death has been shown to be complex, and continues to be expanded by gaining a better understanding of the cultural views of different populations. This study aimed to explore the perspective of Indonesian Muslims patients with advanced cancer on the concept of good death. Method: A qualitative design comprising in-depth interviews was employed. Seven male and 3 female Muslim patients between ages 36 and 68 and diagnosed with advanced lung cancer were recruited from a teaching hospital in Central Java, Indonesia. Results: Content analysis of the interviews revealed five themes: dying without physical discomfort, dying in religious ways and in a desirable place, dying without emotional discomfort, receiving help and support, and having a good relationship with medical staff. Conclusions: Indonesian Muslim patient with advanced lung cancer have unique perspectives on good death, especially based on the themes of religious ways of dying and support from family. health care providers should be aware that good death is not an individual concern and should thus adopt highly sensitive observation skills to assess the physical and emotional state of patients. These providers must also understand their patients’ preferences and respect their needs, regardless of their own beliefs. © 2022 Elsevier Ltd

关键词： Advanced lung cancer Content analysis Good death Indonesian Muslim patients Interview Qualitative

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A Deep Learning Classifier Using Sliding Patches For Detection of Mammographical Findings

A Deep Learning Classifier Using Sliding Patches For Detecti...

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Medical Information Processing and Analysis (SIPAIM), International Symposium on

作者： Diego Mellado Marvin Querales Julio Sotelo Eduardo Godoy Fabian Pardo Scarlett Lever Steren Chabert Rodrigo Salas PhD. Program in Health Sciences and Engineering Universidad de Valparaíso Valparaíso Chile School of Medical Technology Universidad de Valparaíso Valparaíso Chile Departamento de Informática UTFSM Santiago Chile PhD. Program in Applied Software Engineering Universidad de Valparaíso Valparaíso Chile School of Medicine Universidad de Valparaíso Valparaíso Chile School of Biomedical Engineering Universidad de Valparaíso Valparaíso Chile

Mammography is known as one of the best forms to screen possible breast cancer in women, and recently deep learning models have been developed to assist the radiologist in the diagnosis. However, their lack of interpretability has become a significant drawback to their extended use in clinical practice. This paper introduces a novel approach for detecting and localising pathological findings in mammography exams through the use of a EfficientNet-based deep learning model. The model is trained using cropped segments of labelled pathological findings from Vindr Mammography Dataset. Achieving an average F1-score of 72.7 %, and reaching on mass and suspicious calcifications an F1-Score of 79.9 % and 84.5 % respectively. Using this classifier we propose a method to visualise from local information the regions of interest where pathological findings could be present on the complete image. Plus, we describe the limitations regarding area coverage of these patches on the model’s capability of generalization and certainty on its predictions, explaining its functionality.

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Psychological stress and epigenetic aging in older men: The VA normative aging study

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Translational Medicine of Aging 2023年第1期7卷 66-74页

作者： Nwanaji-Enwerem, Jamaji C. Cardenas, Andres Gao, Xu Wang, Cuicui Vokonas, Pantel Spiro, Avron Osborne, Anwar D. Kosheleva, Anna Hou, Lifang Baccarelli, Andrea A. Schwartz, Joel Gangarosa Department of Environmental Health Emory Rollins School of Public Health Atlanta GA United States Department of Emergency Medicine Emory University School of Medicine Atlanta GA United States Department of Epidemiology and Population Health Stanford School of Medicine Stanford CA United States Department of Occupational and Environmental Health Sciences Peking University Beijing China Department of Environmental Health Harvard T.H. Chan School of Public Health and MD/PhD Program Harvard Medical School Boston MA United States Veterans Affairs Boston Healthcare System and the Department of Medicine Boston University School of Medicine VA Normative Aging Study Boston MA United States Massachusetts Veterans Epidemiology and Research Information Center VA Boston Healthcare System Boston MA United States Department of Epidemiology Boston University School of Public Health Boston MA United States Department of Psychiatry Boston University School of Medicine Boston MA United States Department of Preventive Medicine Northwestern University Feinberg School of Medicine Chicago IL United States Department of Environmental Health Sciences Columbia Mailman School of Public Health New York NY United States

Psychological stress remains an important risk factor for morbidity and mortality throughout the life course. However, there have been counterintuitive findings reported in previous studies of older persons that examine the relationships of perceived psychological stress with DNA methylation-based markers of aging, which also serve as predictors of morbidity and mortality (epigenetic age/clocks). We aimed to replicate and expand findings from existing work by examining relationships of self-reported stress with nine epigenetic clocks: Hannum, Horvath, Intrinsic, Extrinsic, SkinBloodClock, PhenoAge, GrimAge, DNAm Telomere Length, and Pace of Aging. We analyzed data from 607 male participants (mean age 73.2 years) of the VA Normative Aging Study with one to two study visits from 1999 to 2007 (observations = 956). Stress was assessed via the 14-item Perceived Stress Scale (PSS). Epigenetic age was calculated from DNA methylation measured in leukocytes with the HumanMethylation450 BeadChip. In linear mixed effects models adjusted for demographic/lifestyle/health factors, a standard deviation (sd) increase in PSS was associated with Horvath (β = −0.35-years, 95%CI: −0.61, −0.09, P = 0.008) and Intrinsic (β = −0.40-years, 95%CI: −0.67, −0.13, P = 0.004) epigenetic age deceleration. However, in models limited to participants with the highest levels of stress (≥75th-percentile), Horvath (β = 2.29-years, 95%CI: 0.16, 4.41, P = 0.04) and Intrinsic (β = 2.06-years, 95%CI: −0.17, 4.28, P = 0.07) age acceleration associations were observed. Our results reinforce the complexity of psychological stress and epigenetic aging relationships and lay a foundation for future studies that explore longitudinal relationships with other adult stress metrics and factors that can influence stress such as resilience measures. © 2023 The Authors

关键词： Biological age DNA methylation DNAm age Epigenetic clock Perceived stress Trauma

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Chlorine-containing polyacetoxybriarane diterpenoids from the octocoral Junceella fragilis

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RSC Advances 2024年第24期14卷 17195-17201页

作者： Do, Hai Nhat Chen, Yu-Ta Chien, Su-Ying Chen, You-Ying Zhang, Mingzi M. Tsou, Lun Kelvin Chen, Jih-Jung Wen, Zhi-Hong Lo, Yi-Hao Zheng, Li-Guo Sung, Ping-Jyun Department of Marine Biotechnology and Resources National Sun Yat-sen University Kaohsiung804201 Taiwan National Museum of Marine Biology & Aquarium Pingtung944401 Taiwan Department of Family Medicine Zuoying Armed Forces General Hospital Kaohsiung813204 Taiwan Instrumentation Center National Taiwan University Taipei106319 Taiwan Institute of Molecular and Genomic Medicine National Health Research Institutes Miaoli350401 Taiwan Institute of Biotechnology and Pharmaceutical Research National Health Research Institutes Miaoli350401 Taiwan Department of Pharmacy School of Pharmaceutical Sciences National Yang Ming Chia Tung University Taipei112304 Taiwan Shu-Zen Junior College of Medicine and Management Kaohsiung821004 Taiwan Institute of Medical Science and Technology National Sun Yat-sen University Kaohsiung804201 Taiwan Doctoral Degree Program in Marine Biotechnology National Sun Yat-sen University Kaohsiung804201 Taiwan Chinese Medicine Research and Development Center China Medical University Hospital Taichung404394 Taiwan Graduate Institute of Natural Products Kaohsiung Medical University Kaohsiung807378 Taiwan PhD Program in Pharmaceutical Biotechnology Fu Jen Catholic University New Taipei City242062 Taiwan

The chemical screening of an octocoral identifed as Junceella fragilis has led to the isolation of five chlorinated briarane-type diterpenoids, including three known metabolites, gemmacolide X (1), frajunolide I (2), and fragilide F (3), along with two new analogs, 12α-acetoxyfragilide F (4) and 12α-acetoxyjunceellin (5). Single-crystal X-ray diffraction analysis was carried out to determine the absolute configurations of 1 and 2, while the structures of new compounds 4 and 5 were ascertained with 2D NMR experiments. Briaranes 1 and 3-5 were active in enhancing alkaline phosphatase (ALP) activity. © 2024 The Royal Society of Chemistry.

关键词： Metabolites

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From Diagnosis to Recurrence: Primary Cardiac Myxofibrosarcoma, A Diagnostic and Therapeutic Challenge

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World Journal of Cardiovascular Diseases 2024年第12期14卷 723-729页

作者： Maria Jose Santa-Ana-Bayona Camila Ponce-Acosta Gilberto H. Gutierrez-Acosta Pavel Martinez-Dominguez Mauricio Garcia-Cardenas Enrique Ruiz-Mori Enrique C. Guerra Ruben Alejandro Leon-Laredo Nilda Espinola-Zavaleta Mexican Faculty of Medicine La Salle University Mexico City Mexico Institute of Biomedical Sciences Autonomous University of Ciudad Juarez Ciudad Juarez Mexico Faculty of Medicine and Biomedical Sciences Autonomous University of Chihuahua Chihuahua City Mexico Department of Cardiology National Institute of Neoplastic Diseases Lima Peru MD-PhD (PECEM) Program School of Medicine National Autonomous University of Mexico Mexico City Mexico Department of Health Sciences Anahuac University Mexico City Mexico Department of Nuclear Cardiology National Institute of Cardiology Ignacio Chvez Mexico City Mexico Department of Echocardiography ABC Medical Center Mexico City Mexico

Introduction: Primary cardiac myxofibrosarcoma (MFS) is a rare and aggressive malignancy, with limited treatment options and a high recurrence rate. Multimodal imaging is critical for diagnosis, and surgery remains the primary treatment, though recurrence is common. Case Presentation: We present the case of a 41-year-old male with history of intermittent chest pain and palpitations. Initial work-up revealed a left atrial mass, which after thorough evaluation with multimodal imaging and histopathological assessment, was diagnosed as a primary cardiac myxofibrosarcoma. Despite complete surgical resection and low-grade histology, recurrence ensued, prompting reintervention and adjuvant radiotherapy. Discussion: Cardiac MFS poses significant diagnostic challenges. Multimodal imaging and immunohistochemistry are key to diagnosis. While surgery is the mainstay of treatment, high recurrence rates necessitate consideration of adjuvant therapies and long-term monitoring. Conclusion: This case highlights the importance of differential diagnosis of intracardiac masses, as well as reaching a consensus regarding the approach for malignant cardiac tumors.

关键词： Myxofibrosarcoma Primary Cardiac Tumors Left Atrial Mass Multimodal Imaging

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Global Atmospheric Composition Needs from Future Ultraviolet–Visible–Near-Infrared (UV–Vis–NIR) NOAA Satellite Instruments

Global Atmospheric Composition Needs from Future Ultraviolet...

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作者： Kopacz, Monika Breeze, Victoria Kondragunta, Shobha Frost, Gregory Anenberg, Susan Bruhwiler, Lori Davis, Sean da Silva, Arlindo de Gouw, Joost Duren, Riley Flynn, Lawrence Gaudel, Audrey Geigert, Michael Goldman, Gretchen Joiner, Joanna McDonald, Brian Ott, Lesley Peuch, Vincent-Henri Pusede, Sally E. Stajner, Ivanka Seftor, Colin Sweeney, Colm Valin, Lukas C. Wang, Jun Whetstone, James Kalluri, Satya NOAA/OAR Climate Program Office Silver SpringMD United States NOAA/NESDIS Center for Satellite Applications and Research GreenbeltMD United States NOAA/OAR Climate Program Office Silver Spring Maryland and NOAA/OAR/Chemical Sciences Laboratory BoulderCO United States Milken Institute School of Public Health George Washington University WashingtonDC United States NOAA/OAR Global Monitoring Laboratory BoulderCO United States NOAA/OAR/Chemical Sciences Laboratory BoulderCO United States NASA Goddard Space Flight Center GreenbeltMD United States Cooperative Institute for Research in Environmental Sciences Department of Chemistry University of Colorado Boulder BoulderCO United States Carbon Mapper Inc. Pasadena California and Arizona Institute for Resilient Environments and Societies and Research The University of Arizona TucsonAZ United States Connecticut Department of Energy and Environmental Protection HartfordCT United States Office of Science and Technology Policy WashingtonDC United States European Centre for Medium-Range Weather Forecasts Reading United Kingdom Department of Environmental Sciences University of Virginia CharlottesvilleVA United States NOAA/NWS/Environmental Modeling Center College ParkMD United States Center for Environmental Measurements and Modeling U.S. EPA Research Triangle ParkNC United States Department of Chemical and Biochemical Engineering University of Iowa Iowa CityIA United States National Institute of Standards and Technology GaithersburgMD United States

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DSBplot: Indels in DNA Double-strand Break Repair Experiments

arXiv

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arXiv 2023年

作者： Channagiri, Tejasvi Ferrari, Margherita Maria Jeon, Youngkyu Xu, Penghao Storici, Francesca Jonoska, Nataša Department of Mathematics and Statistics University of South Florida TampaFL United States Department of Biostatistics Harvard University United States Department of Mathematics University of Manitoba Winnipeg Canada School of Biological Sciences Georgia Institute of Technology AtlantaGA United States Molecular Targets Program National Cancer Institute National Institutes of Health FrederickMD United States

Double-strand breaks (DSBs) in DNA are naturally occurring destructive events in all organisms that may lead to genome instability. Cells employ various repair methods known as non-homologous end joining (NHEJ), microhomology mediated end joining (MMEJ), and homology-directed recombination (HDR). These repair processes may lead to DNA sequence variations (e.g., nucleotide insertions, deletions, and substitutions) at the location of the break. Studying DNA DSB repair processes often involves the use of high throughput sequencing assays to precisely quantify the sequence variations near the break with software tools. Often methods of assessing and visualizing these data have not taken into account the full complexity of the sequencing data, such as the frequency, type, and position of the sequence variations in a single comprehensive representation. Here we present a method that allows visualization of the overall variation pattern as well as comparison of these patterns among experimental setups. Copyright © 2023, The Authors. All rights reserved.

关键词： Python

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Physics-Informed Deep Learning to Reduce the Bias in Joint Prediction of Nitrogen Oxides

arXiv

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arXiv 2023年

作者： Li, Lianfa Khalili, Roxana Lurmann, Frederick Pavlovic, Nathan Wu, Jun Xu, Yan Liu, Yisi O’Sharkey, Karl Ritz, Beate Oman, Luke Franklin, Meredith Bastain, Theresa Farzan, Shohreh F. Breton, Carrie Habre, Rima Department of Population and Public Health Sciences University of Southern California Los AngelesCA United States State Key Laboratory of Resources and Environmental Information System Institute of Geographical Sciences and Natural Resources Chinese Academy of Sciences Beijing China Sonoma Technology Inc. PetalumaCA United States Program in Public Health Susan and Henry Samueli College of Health Sciences University of California IrvineCA United States Departments of Epidemiology and Environmental Health Fielding School of Public Health University of California Los AngelesCA United States Goddard Space Flight Center National Aeronautics and Space Administration GreenbeltMD United States Department of Statistical Sciences University of Toronto TorontoON Canada Spatial Sciences Institute University of Southern California Los AngelesCA United States

Atmospheric nitrogen oxides (NOx) primarily from fuel combustion have recognized acute and chronic health and environmental effects. Machine learning (ML) methods have significantly enhanced our capacity to predict NOx concentrations at ground-level with high spatiotemporal resolution but may suffer from high estimation bias since they lack physical and chemical knowledge about air pollution dynamics. Chemical transport models (CTMs) leverage this knowledge;however, accurate predictions of ground-level concentrations typically necessitate extensive post-calibration. Here, we present a physics-informed deep learning framework that encodes advection-diffusion mechanisms and fluid dynamics constraints to jointly predict NO2 and NOx and reduce ML model bias by 21-42%. Our approach captures fine-scale transport of NO2 and NOx, generates robust spatial extrapolation, and provides explicit uncertainty estimation. The framework fuses knowledge-driven physicochemical principles of CTMs with the predictive power of ML for air quality exposure, health, and policy applications. Our approach offers significant improvements over purely data-driven ML methods and has unprecedented bias reduction in joint NO2 and NOx prediction. Copyright © 2023, The Authors. All rights reserved.

关键词： Nitrogen oxides

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Enhanced IGF-IIRα Expression Exacerbates Lipopolysaccharide-Induced Cardiac Inflammation, Hypertrophy, and Apoptosis Through Calcineurin Activation

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Environmental Toxicology 2024年第11期39卷 5173-5186页

作者： Boonha, Khwanchit Kuo, Wei-Wen Tsai, Bruce Chi-Kang Hsieh, Dennis Jine-Yuan Lin, Kuan-Ho Lu, Shang-Yeh Kuo, Chia-Hua Yang, Liang-Yo Huang, Chih-Yang Graduate Institute of Biomedical Sciences China Medical University Taichung Taiwan Cardiovascular and Mitochondrial Related Disease Research Center Hualien Tzu Chi Hospital Buddhist Tzu Chi Medical Foundation Hualien Taiwan Faculty of Tropical Medicine Mahidol University Bangkok Thailand Department of Biological Science and Technology College of Life Sciences China Medical University Taichung Taiwan PhD Program for Biotechnology Industry China Medical University Taichung Taiwan School of Pharmacy China Medical University Taichung Taiwan Department of Medical Laboratory and Biotechnology Chung Shan Medical University Taichung Taiwan Clinical Laboratory Chung Shan Medical University Hospital Taichung Taiwan Department of Emergency Medicine China Medical University Hospital Taichung Taiwan College of Medicine China Medical University Taichung Taiwan Division of Cardiovascular Medicine Department of Internal Medicine China Medical University Hospital Taichung Taiwan Laboratory of Exercise Biochemistry University of Taipei Taipei Taiwan Institute of Sports Sciences University of Taipei Taipei Taiwan Department of Kinesiology and Health Science College of William and Mary WilliamsburgVA United States School of Physical Education and Sports Science Soochow University Suzhou China Department of Physiology School of Medicine College of Medicine China Medical University Taichung Taiwan Laboratory for Neural Repair China Medical University Hospital Taichung Taiwan Department of Medical Research China Medical University Hospital China Medical University Taichung Taiwan Department of Medical Laboratory Science and Biotechnology Asia University Taichung Taiwan Center of General Education Buddhist Tzu Chi Medical Foundation Tzu Chi University of Science and Technology Hualien Taiwan

Cardiovascular disease is one of the leading causes of death worldwide and has a high prevalence. Insulin-like growth factor-II receptor α (IGF-IIRα) acts as a stress-inducible negative regulator. This study focused on the substantial impact of heightened expression of IGF-IIRα in cardiac myoblasts and its association with the exacerbation of cardiac dysfunction. Using lipopolysaccharide (LPS)-induced H9c2 cardiac myoblasts as a model for sepsis, we aimed to elucidate the molecular interactions between IGF-IIRα and LPS in exacerbating cardiac injury. Our findings demonstrated a synergistic induction of cardiac inflammation and hypertrophy by LPS stimulation and IGF-IIRα overexpression, leading to decreased cell survival. Excessive calcineurin activity, triggered by this combined condition, was identified as a key factor exacerbating the negative effects on cell survival. Cellular changes such as cell enlargement, disrupted actin filaments, and upregulation of hypertrophy-related and inflammation-related proteins contributed to the overall hypertrophic and inflammatory responses. Overexpression of IGF-IIRα also exacerbated apoptosis induced by LPS in H9c2 cardiac myoblasts. Inhibiting calcineurin in LPS-treated H9c2 cardiac myoblasts with IGF-IIRα overexpression effectively reversed the detrimental effects, reducing cell damage and mitigating apoptosis-related cardiac mechanisms. Our study suggests that under sepsis-like conditions in the heart with IGF-IIRα overexpression, hyperactivation of calcineurin worsens cardiac damage. Suppressing IGF-IIRα and calcineurin expression could be a potential intervention to alleviate the impact of the illness and improve cardiac function. © 2024 Wiley Periodicals LLC.

关键词： Heart

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TScan-II:A genome-scale platform for the de novo identification of CD4^(+) T cell epitopes

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四川生理科学杂志 2023年第11期45卷 2164-2164页

作者： Mohammad H Dezfuian Division of Genetics Department of Medicine Howard Hughes Medical Institute Brigham and Women's Hospital Boston MA USA Department of Genetics Harvard Medical School Boston MA USA Adeno-Associated Virus Biology Section National Institute of Dental and Craniofacial Research National Institutes of Health Bethesda MD USA Broad Institute of Harvard and Massachusetts Institute of Technology Cambridge MA USA Department of Biomedical Informatics Harvard Medical School Boston MA USA Department of Medicine Harvard Medical School Boston MA USA Genes and Human Disease Program Oklahoma Medical Research Foundation Oklahoma City OK USA Salivary Disorders Unit National Institute of Dental and Craniofacial Research National Institutes of Health Bethesda MD USA Arthritis and Clinical Immunology Program Oklahoma Medical Research Foundation Oklahoma City OK USA Departmentment of Microbiology and Immunology University of Oklahoma Health Sciences Center Oklahoma City OK USA Department of Pathology University of Oklahoma Health Sciences Center Oklahoma City OK USA Laboratory of Cancer Biology and Genetics Center for Cancer Research National Cancer Institute National Institutes of Health Bethesda MD USA

CD4+T cells play fundamental roles in orchestrating immune responses and tissue ***,our inability to associate peptide human leukocyte antigen class-II(HLA-II)complexes with their cognate T cell receptors(TCRs)in an unbiased manner has hampered our understanding of CD4^(+)T cell function and role in ***,we introduce TScan-II,a highly sensitive genome-scale CD4^(+) antigen discovery *** platform seamlessly integrates the endogenous HLA-II antigen-processing machinery in synthetic antigen-presenting cells and TCR signaling in T cells,enabling the simultaneous screening of multiple HLAs and *** genome-scale human,virome,and epitope mutagenesis libraries,TScan-II facilitates de novo antigen discovery and deep exploration of TCR *** demonstrate TScan-II's potential for basic and translational research by identifying a non-canonical antigen for a cancer-reactive CD4^(+)T cell ***,we identified two antigens for clonally expanded CD4^(+)T cells in Sjögren's disease,which bind distinct HLAs and are expressed in HLA-II-positive ductal cells within affected salivary glands.

关键词： endogenous specificity homeostasis

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