bluuebunny/crossref_metadata_2025_split huggingface dataset:
The vulvar microbiome in lichen sclerosus and high-grade intraepithelial lesions
Authors: Pagan Lisa , Huisman Bertine W. , van der Wurff Michelle , Naafs Rosanne G. C. , Schuren Frank H. J. , Sanders Ingrid M. J. G. , Smits Wiep Klaas , Zwittink Romy D. , Burggraaf Jacobus , Rissmann Robert , Piek Jurgen M. J. , Henderickx Jannie G. E. , van Poelgeest Mariëtte I. E. 
Published: November 2023

BackgroundThe role of the vulvar microbiome in the development of (pre)malignant vulvar disease is scarcely investigated. The aim of this exploratory study was to analyze vulvar microbiome composition in lichen sclerosus (LS) and vulvar high-grade squamous intraepithelial lesions (HSIL) compared to healthy controls.MethodsWomen with vulvar lichen sclerosus (n = 10), HSIL (n = 5) and healthy controls (n = 10) were included. Swabs were collected from the vulva, vagina and anal region for microbiome characterization by metagenomic shotgun sequencing. Both lesional and non-lesional sites were examined. Biophysical assessments included trans-epidermal water loss for evaluation of the vulvar skin barrier function and vulvar and vaginal pH measurements.ResultsHealthy vulvar skin resembled vaginal, anal and skin-like microbiome composition, including the genera Prevotella, Lactobacillus, Gardnerella, Staphylococcus, Cutibacterium, and Corynebacterium. Significant differences were observed in diversity between vulvar skin of healthy controls and LS patients. Compared to the healthy vulvar skin, vulvar microbiome composition of both LS and vulvar HSIL patients was characterized by significantly higher proportions of, respectively, Papillomaviridae (p = 0.045) and Alphapapillomavirus (p = 0.002). In contrast, the Prevotella genus (p = 0.031) and Bacteroidales orders (p = 0.038) were significantly less abundant in LS, as was the Actinobacteria class (p = 0.040) in vulvar HSIL. While bacteria and viruses were most abundant, fungal and archaeal taxa were scarcely observed. Trans-epidermal water loss was higher in vulvar HSIL compared to healthy vulvar skin (p = 0.043).ConclusionThis study is the first to examine the vulvar microbiome through metagenomic shotgun sequencing in LS and HSIL patients. Diseased vulvar skin presents a distinct signature compared to healthy vulvar skin with respect to bacterial and viral fractions of the microbiome. Key findings include the presence of papillomaviruses in LS as well as in vulvar HSIL, although LS is generally considered an HPV-independent risk factor for vulvar dysplasia. This exploratory study provides clues to the etiology of vulvar premalignancies and may act as a steppingstone for expanding the knowledge on potential drivers of disease progression.
Ligilactobacillus salivarius CNCM I-4866, a potential probiotic candidate, shows anti-inflammatory properties in vitro and in vivo
Authors: Carbonne Celia , Chadi Sead , Kropp Camille , Molimard Lise , Chain Florian , Langella Philippe , Martin Rebeca 
Published: November 2023

IntroductionThe aim of this work was to characterize a new strain of Ligilactobacillus salivarius (CNCM I-4866) (CNCM I-4866) to address its potential as probiotic with a special focus on intestinal inflammation. Potential anti-inflammatory abilities of this strain were evaluated through in vivo and in vitro experiments.MethodsFirstly, the strain was tested in a murine acute inflammation colitis model induced by DNBS. In vitro characterization was then performed with diverse tests: modulation capability of intestinal permeability; study of the impact on immunity profile through cytokines dosage; capacity to inhibit pathogens and adhere to intestinal cells lines. Production of metabolites, antibiotic resistance and survival to gastro-intestinal tract conditions were also tested.ResultsIn vitro assay has shown a reduction of colonic damage and markers of inflammation after treatment with CNCM I-4866. Transcriptomic analysis performed on colons showed the capacity of the strain to down-regulate pro-inflammatory cytokines. L. salivarius CNCM I-4866 exerted anti-inflammatory profile by reducing IL-8 production by TNF-α stimulated cell and modulated cytokines profile on peripheral blood mononuclear cells (PBMC). It protected intestinal integrity by increasing trans-epithelial electrical resistance (TEER) on Caco-2 TNF-α inflamed cells. Additionally, L. salivarius CNCM I-4866 displayed inhibition capacity on several intestinal pathogens and adhered to eukaryotic cells. Regarding safety and technical concerns, CNCM I-4866 was highly resistant to 0.3% of bile salts and produced mainly L-lactate. Finally, strain genomic characterization allowed us to confirm safety aspect of our strain, with no antibiotic gene resistance found.DiscussionTaken together, these results indicate that L. salivarius CNCM I-4866 could be a good probiotic candidate for intestinal inflammation, especially with its steady anti-inflammatory profile.
Oligomer formation of SARS-CoV-2 ORF8 through 73YIDI76 motifs regulates immune response and non-infusion antiviral interactions
Authors: Assadizadeh Mohammad , Azimzadeh Irani Maryam 
Published: November 2023

Introduction: Open Reading Frame 8 (ORF8) is a 121 amino acid length SARS-CoV-2 specific accessory protein that plays crucial roles in viral infectivity, and pathogenesis. Current SARS-CoV-2 treatments focus on spike or RNA-dependent RNA polymerase proteins. Hence, directing attention to ORF8 yields substantial benefits for innovative non-infusional therapeutics. Functional ORF8 is proposed to form oligomers via a crystallographic contact centered by 73YIDI76 motifs.Methods: Hence, the structure and atomistic interactions of trimeric and tetrameric ORF8 oligomeric forms were modeled by means of thorough molecular modeling and molecular dynamics simulations.Results: Results show that trimeric and tetrameric oligomers are stabilized by the interaction of β4-β5 (47-83) loops. 73YIDI76 motifs are involved in obtaining the oligomerization interfaces. It is shown that the tetramers which resemble a doughnut-like construction are the most stabilized oligomeric forms. Where four β4-β5 loops form the interfaces between two dimers. Each monomer links to two others through β4-β5 loops and a covalent Cys20-Cys20 bridge. Epitope mapping, binding site predictions, and solvent-accessible surface area analyses of different ORF8 forms show that the B-cell, MHC-I, and drug epitopes stay exposed in oligomeric forms.Discussion: Approving that the viral infectivity is expanded upon ORF8 oligomerization and the regions involved in oligomerization can be considered as therapeutic targets.
Empagliflozin alleviates atherosclerotic calcification by inhibiting osteogenic differentiation of vascular smooth muscle cells
Authors: Li Junping , Li Changping , Huang Zhaoqi , Huang Chunling , Liu Juanzhang , Wu Tao , Xu Shuwan , Mai Peibiao , Geng Dengfeng , Zhou Shuxian , Zhang Kun , Liu Zhaoyu 
Published: November 2023

SGLT-2 inhibitors, such as empagliflozin, have been shown to reduce the occurrence of cardiovascular events and delay the progression of atherosclerosis. However, its role in atherosclerotic calcification remains unclear. In this research, ApoE−/− mice were fed with western diet and empagliflozin was added to the drinking water for 24 weeks. Empagliflozin treatment significantly alleviated arterial calcification assessed by alizarin red and von kossa staining in aortic roots and reduced the lipid levels, while had little effect on body weight and blood glucose levels in ApoE−/− mice. In vitro studies, empagliflozin significantly inhibits calcification of primary vascular smooth muscle cells (VSMCs) and aortic rings induced by osteogenic media (OM) or inorganic phosphorus (Pi). RNA sequencing of VSMCs cultured in OM with or without empagliflozin showed that empagliflozin negatively regulated the osteogenic differentiation of VSMCs. And further studies confirmed that empagliflozin significantly inhibited osteogenic differentiation of VSMCs via qRT-PCR. Our study demonstrates that empagliflozin alleviates atherosclerotic calcification by inhibiting osteogenic differentiation of VSMCs, which addressed a critical need for the discovery of a drug-based therapeutic approach in the treatment of atherosclerotic calcification.
Tree mycorrhizal type regulates leaf and needle microbial communities, affects microbial assembly and co-occurrence network patterns, and influences litter decomposition rates in temperate forest
Authors: Tanunchai Benjawan , Ji Li , Schroeter Simon Andreas , Wahdan Sara Fareed Mohamed , Thongsuk Katikarn , Hilke Ines , Gleixner Gerd , Buscot François , Schulze Ernst-Detlef , Noll Matthias , Purahong Witoon 
Published: November 2023

BackgroundTree mycorrhizal types (arbuscular mycorrhizal fungi and ectomycorrhizal fungi) alter nutrient use traits and leaf physicochemical properties and, thus, affect leaf litter decomposition. However, little is known about how different tree mycorrhizal species affect the microbial diversity, community composition, function, and community assembly processes that govern leaf litter-dwelling microbes during leaf litter decomposition. MethodsIn this study, we investigated the microbial diversity, community dynamics, and community assembly processes of nine temperate tree species using high-resolution molecular technique (Illumina sequencing), including broadleaved arbuscular mycorrhizal, broadleaved ectomycorrhizal, and coniferous ectomycorrhizal tree types, during leaf litter decomposition.Results and discussionThe leaves and needles of different tree mycorrhizal types significantly affected the microbial richness and community composition during leaf litter decomposition. Leaf litter mass loss was related to higher sequence reads of a few bacterial functional groups, particularly N-fixing bacteria. Furthermore, a link between bacterial and fungal community composition and hydrolytic and/or oxidative enzyme activity was found. The microbial communities in the leaf litter of different tree mycorrhizal types were governed by different proportions of determinism and stochasticity, which changed throughout litter decomposition. Specifically, determinism (mainly variable selection) controlling bacterial community composition increased over time. In contrast, stochasticity (mainly ecological drift) increasingly governed fungal community composition. Finally, the co-occurrence network analysis showed greater competition between bacteria and fungi in the early stages of litter decomposition and revealed a contrasting pattern between mycorrhizal types.ConclusionOverall, we conclude that tree mycorrhizal types influence leaf litter quality, which affects microbial richness and community composition, and thus, leaf litter decomposition.
Potassium deficiency diagnosis method of apple leaves based on MLR-LDA-SVM
Authors: Xu Kun , Sun Lin-Lin , Wang Jing , Liu Shuang-Xi , Yang Hua-Wei , Xu Ning , Zhang Hong-Jian , Wang Jin-Xing 
Published: November 2023

IntroductionAt present, machine learning and image processing technology are widely used in plant disease diagnosis. In order to address the challenges of subjectivity, cost, and timeliness associated with traditional methods of diagnosing potassium deficiency in apple tree leaves. MethodsThe study proposes a model that utilizes image processing technology and machine learning techniques to enhance the accuracy of detection during each growth period. Leaf images were collected at different growth stages and processed through denoising and segmentation. Color and shape features of the leaves were extracted and a multiple regression analysis model was used to screen for key features. Linear discriminant analysis was then employed to optimize the data and obtain the optimal shape and color feature factors of apple tree leaves during each growth period. Various machine-learning methods, including SVM, DT, and KNN, were used for the diagnosis of potassium deficiency. ResultsThe MLR-LDA-SVM model was found to be the optimal model based on comprehensive evaluation indicators. Field experiments were conducted to verify the accuracy of the diagnostic model, achieving high diagnostic accuracy during different growth periods. DiscussionThe model can accurately diagnose whether potassium deficiency exists in apple tree leaves during each growth period. This provides theoretical guidance for intelligent and precise water and fertilizer management in orchards.
Association between problem gambling and personality traits: a longitudinal study among the general Norwegian population
Authors: Kaur Puneet , Leino Tony , Chegeni Razieh , Erevik Eilin K. , Mentzoni Rune A. , Pallesen Ståle 
Published: November 2023

ObjectiveThe present study investigates the longitudinal relationship between problematic gambling (PG) and the five factor model’s personality traits using autoregressive cross-lagged models.MethodsThe data used in the current study was collected by a national survey in 2013 (n = 10,081) and a follow-up study (n = 5,848) in 2015. PG was measured using Canadian Problem Gambling Index (CPGI) while personality was assessed using Mini-International Personality Item Pool (MINI-IPIP). Participants who completed the CPGI and all the personality items during both waves (n = 2,702) were analysed.ResultsThe results show that neuroticism had positive cross-lagged associations with CPGI. In contrast, conscientiousness and agreeableness in 2013 were found to have inverse cross-lagged effect on CPGI in 2015. Finally, openness and extraversion did not have any cross-lagged associations with CPGI.ConclusionPG poses serious negative implications for the involved individuals as well as their associated close social circle. Hence, it is important to understand predictors of PG for prevention purposes. Personality traits are one of the influential frameworks for examining uncontrolled psychopathological behaviors like PG. The study findings offer significant theoretical as well as practical implications.
Validation of the Moral Injury Outcome Scale in acute care nurses
Authors: Tao Hong , Nieuwsma Jason A. , Meador Keith G. , Harris Stephanie L. , Robinson Patricia S. 
Published: November 2023

IntroductionMoral injury, predominantly studied in military populations, has garnered increased attention in the healthcare setting, in large part due to the psychological and emotional consequences of the COVID-19 pandemic. The measurement of moral injury with instrumentation adapted from military settings and validated by frontline healthcare personnel is essential to assess prevalence and guide intervention. This study aimed to validate the Moral Injury Outcome Scale (MIOS) in the population of acute care.MethodsA sample of 309 acute care nurses completed surveys regarding moral injury, depression, anxiety, burnout, professional fulfillment, spiritual wellbeing, and post-traumatic stress disorder symptoms. Confirmatory factor analysis was conducted as well as an assessment of reliability and validity.ResultsThe internal consistency of the 14-item MIOS was 0.89. The scale demonstrated significant convergent and discriminant validity, and the test of construct validity confirmed the two-factor structure of shame and trust violations in this clinical population. Regression analysis indicated age, race, and marital status-related differences in the experience of moral injury.DiscussionThe MIOS is valid and reliable in acute care nursing populations and demonstrates sound psychometric properties. Scores among nurses diverge from those of military personnel in areas that may inform distinctions in interventions to address moral injury in these populations.
A prognostic model and pre-discharge predictors of post-COVID-19 syndrome after hospitalization for SARS-CoV-2 infection
Authors: Honchar Oleksii , Ashcheulova Tetiana , Chumachenko Tetyana , Chumachenko Dmytro , Bobeiko Alla , Blazhko Viktor , Khodosh Eduard , Matiash Nataliia , Ambrosova Tetiana , Herasymchuk Nina , Kochubiei Oksana , Smyrnova Viktoriia 
Published: November 2023

BackgroundPost-COVID-19 syndrome (PCS) has been increasingly recognized as an emerging problem: 50% of patients report ongoing symptoms 1 year after acute infection, with most typical manifestations (fatigue, dyspnea, psychiatric and neurological symptoms) having potentially debilitating effect. Early identification of high-risk candidates for PCS development would facilitate the optimal use of resources directed to rehabilitation of COVID-19 convalescents.ObjectiveTo study the in-hospital clinical characteristics of COVID-19 survivors presenting with self-reported PCS at 3 months and to identify the early predictors of its development.Methods221 hospitalized COVID-19 patients underwent symptoms assessment, 6-min walk test, and echocardiography pre-discharge and at 1 month; presence of PCS was assessed 3 months after discharge. Unsupervised machine learning was used to build a SANN-based binary classification model of PCS development.ResultsPCS at 3 months has been detected in 75% patients. Higher symptoms level in the PCS group was not associated with worse physical functional recovery or significant echocardiographic changes. Despite identification of a set of pre-discharge predictors, inclusion of parameters obtained at 1 month proved necessary to obtain a high accuracy model of PCS development, with inputs list including age, sex, in-hospital levels of CRP, eGFR and need for oxygen supplementation, and level of post-exertional symptoms at 1 month after discharge (fatigue and dyspnea in 6MWT and MRC Dyspnea score).ConclusionHospitalized COVID-19 survivors at 3 months were characterized by 75% prevalence of PCS, the development of which could be predicted with an 89% accuracy using the derived neural network-based classification model.
The methodology of the Agile Nudge University
Authors: Mehta Jade , Williams Christopher , Holden Richard J. , Taylor Britain , Fowler Nicole R. , Boustani Malaz 
Published: November 2023

IntroductionThe Agile Nudge University is a National Institute on Aging-funded initiative to engineer a diverse, interdisciplinary network of scientists trained in Agile processes.MethodsMembers of the network are trained and mentored in rapid, iterative, and adaptive problem-solving techniques to develop, implement, and disseminate evidence-based nudges capable of addressing health disparities and improving the care of people living with Alzheimer's disease and other related dementias (ADRD).ResultsEach Agile Nudge University cohort completes a year-long online program, biweekly coaching and mentoring sessions, monthly group-based problem-solving sessions, and receives access to a five-day Bootcamp and the Agile Nudge Resource Library.DiscussionThe Agile Nudge University is evaluated through participant feedback, competency surveys, and tracking of the funding, research awards, and promotions of participating scholars. The Agile Nudge University is compounding national innovation efforts in overcoming the gaps in the ADRD discovery-to-delivery translational cycle.
The association of burnout with work absenteeism and the frequency of thoughts in leaving their job in a cohort of healthcare workers during the COVID-19 pandemic
Authors: Lee Cerina , Vu Thanh-Huyen T. , Fuller John A. , Freedman Melanie , Bannon Jacqueline , Wilkins John T. , Moskowitz Judith T. , Hirschhorn Lisa R. , Wallia Amisha , Evans Charlesnika T. 
Published: November 2023

IntroductionDuring the coronavirus disease 2019 pandemic, high levels of burnout were reported among healthcare workers. This study examines the association of work absenteeism and frequency of thoughts in leaving current job with burnout among a cohort of healthcare workers during the COVID-19 pandemic.MethodsA cross-sectional survey of healthcare workers was conducted from April-May, 2022 on healthcare workers from 10 hospitals, 18 immediate care centers, and 325 outpatient practices in the Chicago area and surrounding Illinois suburbs. Logistic regression models were used to assess the association of burnout scores (Oldenburg Burnout Inventory—OLBI) and its sub-scores (exhaustion and disengagement scores) with work absenteeism and thoughts of leaving work.ResultsOne-fifth and 60% of respondents (n = 1,825) reported unplanned absenteeism and thoughts of leaving their job, respectively. After adjusting for covariates, higher burnout scores, especially exhaustion scores, were associated with increased odds of unplanned absenteeism (OR = 1.04, 95% CI: 1.01–1.08). Burnout scores and both sub-scores were also positively associated with the frequency of thoughts of leaving work, e.g., each unit increase in the OLBI burnout score was associated with 1.39 (95% CI: 1.34–1.43) times higher odds of thinking about leaving work “a lot/constantly” vs. “never”.DiscussionOverall, this study cohort showed a positive association between burnout scores and unplanned work absenteeism (and frequency of thoughts in leaving job) during the COVID-19 pandemic. More research is needed to support healthcare worker well-being during times of stress and direct solutions to addressing unplanned absenteeism in the light of a pandemic.
PERLINDUNGAN MERK DAGANG DAN PEMASARAN UMKM DESA MAYANG KECAMATAN GATAK KABUPATEN SUKOHARJO
Authors: Awatara I Gusti Putu Diva , Endang Saryanti Linda Nur Susila; 
Published: November 2023

Merek dagang adalah aset penting untuk dilindungi sebagai bagian dari upaya untuk suatu produk dengan produk lainnya. Pentingnya perlindungan ini tidak hanya untuk para pelaku usaha besar namun juga para pelaku usaha UMKM. Selama ini, para pengusaha UMKM lebih mementingkan berjualan terlebih dahulu daripada melindungi merek dagangnya. Program Pengabdian ini bertujuan untuk meningkatkan perlindungan merk dagang dan pemasaran UMKM Desa Mayang Kecamatan Gatak Kabupaten Sukoharjo.
Tahapan kegiatan yang dilakukan adalah melakukan pembinaan dan pelatihan pada anggota kelompok masyarakat atau UMKM yang ada di Desa Desa Mayang Kecamatan Gatak Kabupaten Sukoharjo tentang kepemilikan hak kekayaan intelektual oleh masyarakat khususnya merek produk kuliner di Desa Mayang Kecamatan Gatak Kabupaten Sukoharjo, selanjutnya melakukan pendampingan dalam pemasaran. Keseluruhan kegiatan dilaksanakan oleh Tim.
Hasil pelaksanaan kegiatan pengabdian ini dapat memberikan hasil peningkatan kepemilikan hak kekayaan intelektual oleh UMKM Desa Mayang Kecamatan Gatak Kabupaten Sukoharjo, selanjutnya melakukan pendampingan dalam pemasaran.
PENEGUHAN IDIOLOGI MELALUI PELATIHAN HISAB SEBAGAI METODE PENENTUAN IBADAH UMAT ISLAM
Authors: Maesyaroh Maesyaroh , Zuhriyati Erni 
Published: November 2023

Aisiyah merupakan gerakan ortom Muhammadiyah, gerakan Islam, gerakan dakwah dan tadjdid untuk terwujudnya ajaran Islam yang sebenar-benarnya didasarkan pada Al-qur’an dan As-sunnah. Sebagai gerakan tajdid Aisiyah maupun Muhammadiyah dikenal sebagai ahli hisab khususnya dalam penentuan awal bulan Kamariah. Meski demikian tiap awal Ramdhan majelis tarjih Tajdid Pimpimanan Majelis Tarjih Tajdid Pimpinan Muhammadiyah untuk penguatan idiologinya selalu melakukan sosialiasi ke daerah-daerah, nampaknya pemahaman hisab belum semua tersentuh hingga grossroad. Tidak hanya pemahaman mereka tentang hisab, kader ahli hisab dari kalangan Aisiyah juga jarang. Untuk menjawab permasalahan mitra tersebut, maka pengabdian ini bertujuan memberikan penguatan hisab sebagai idiologi Muhammadiyah serta pelatihan hisab awal bulan. Pelatihan ini diikuti oleh pimpinan cabang Aisiyah dan pimpinan daerah Aisiyah sebanyak 18 orang. Metode yang dilakukan yaitu refreshing peneguhan idiologi dalam aspek hisab Muhammadiyah dan praktek menghitung awal bulan dengan menggunakan scientific Kalkulator FX Casio MS. Hasil pelatihan menunjukkan pra pelatihan pemahaman peserta hampir 80 persen cukup, namun setelah diadakan pelatihan dan pemahaman terkait hisab Muhammadiyah meninggkat menjadi lebih baik.