bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long-Term Impact of Psychological Rehabilitation on Isolated Hospitalization Patients With COVID-19
Authors: Jung Jae Hyu , Jeon Eun Hui , Ko Jin Young 
Published: April 2024

Objective
This study aimed to investigate the long-term effects of a psychological rehabilitation program that was effective on anxiety, depression, and quality of sleep in hospitalized COVID-19 patients.

Design
This is longitudinal study. Thirteen patients in the experimental group who received a psychological rehabilitation program during hospitalization and 16 patients in the control group who received conservative treatment completed the questionnaire 6 mos after discharge. Questionnaires are the Zung Self-Rating Anxiety Scale, Zung Self-Rating Depression Scale, Patient Health Questionnaire-9, Visual Analysis Scale, and the Korean version of the Insomnia Severity Index.

Results
The Visual Analysis Scale for depression significantly improved in the experimental group compared with control group at discharge (E = −2.40, P < 0.001) and follow-up (E = −3.36, P < 0.001). The Zung Self-Rating Depression Scale and Patient Health Questionnaire-9 scores significantly improved at discharge (E = −4.05, P = 0.01 and E = −2.29, P = 0.01) but not at follow-up (E = −4.64, P = 0.12 and E = −1.81, P = 0.22). There are no significant interactions for Visual Analysis Scale for anxiety (E = −0.27, P = 0.79), Zung Self-Rating Anxiety Scale scores (E = −1.48, P = 0.51), and insomnia (E = −0.69, P = 0.63) scores during the follow-up.

Conclusions
Psychological rehabilitation showed a significant long-term reduction in depression, but not in anxiety. Therefore, continuous intervention and management of mental health are required after discharge.
Comparative Effects of Exercise Interventions and Mindfulness-Based Interventions for Cognitive Impairment and Quality of Life in Breast Cancer Survivors During or After Cancer Treatment
Authors: Zeng Qing , Li Caiyue , Yu Tana , Zhang Hongchen 
Published: April 2024

Objective
The aim of this network meta-analysis was to compare the improvement effects of various exercise interventions and mindfulness-based interventions to determine the best interventions for the improvement of cognitive impairment.

Design
Seven databases were searched to screen randomized controlled trials of exercise interventions and mindfulness-based interventions to improve cognitive impairment. The network meta-analysis was performed using Revman 5.3, R 4.2.1 and ADDIS 1.16.8 software.

Results
Thirty-four randomized controlled trials involving 14 interventions were included in the study. In terms of cognitive function, except for mindfulness-based stress reduction, all interventions showed significantly greater improvement in cognitive function compared with conventional therapy. Physical activity and Qigong showed better effect in improving executive function. In terms of improving verbal memory, compensatory cognitive training, neurofeedback training, Qigong, and sham Qigong were more effective than other interventions. On performing surface under the cumulative ranking curve analysis, acceptance and commitment therapy, neurofeedback training, Qigong, and mediation had the best effects on cognitive function, quality of life, executive function, and processing speed, respectively.

Conclusions
Mindfulness-based interventions were found to be more effective than exercise interventions for alleviating cognitive impairment. More robust randomized controlled trials focusing on acceptance and commitment therapy for cognitive impairment are required to support the current evidence.
Neural Interconnections of Extracranial Nerves in Headache Surgery: Anatomical Landmarks and Clinical Implications: A Review of the Literature
Authors: Knoedler Samuel , Frank Konstantin , Muehlberger Thomas , Safi Ali-Farid , Cotofana Sebastian , Perozzo Filippo A. G. , Panayi Adriana C. , Guyuron Bahman , Janis Jeffrey E. , Alfertshofer Michael 
Published: April 2024

Summary:
Headache disorders (HDs) remain a nationwide challenge for the US health care system, affecting nearly 60% of the US population. Surgical deactivation of the peripheral trigger site, also referred to as headache surgery, represents an effective treatment for patients with refractory HD pain or nonresponse to pharmacologic regimens. Research stemming from other surgical specialties has underlined the clinical relevance of neural interconnections in refining diagnostic algorithms, adapting surgical techniques, and improving overall patient outcomes. Different HD trigger points have been identified, but there is a paucity of studies discussing the mostly sensory neural interconnections between these trigger points in a comprehensive fashion. The authors provide an overview of the specific nerves involved in HD and synthesize the literature on HD nerve interconnections to deduce clinical implications. Overall, this line of research may help refine the perioperative workflow and enhance HD patient care.
Feasibility of 2-Point Fixation by Absorbable Plates Using the Transoral Approach in Management of the Zygomatic Complex Fractures
Authors: Diarra Drissa , Zhang Ze-Xing , Wang Hang , Li Zhi 
Published: April 2024

Purpose:
The purpose of this study was to retrospectively evaluate the feasibility of 2-point fixation using absorbable plates by the transoral approach in the management of the zygomatic complex (ZMC) fractures.

Methods:
Twenty-five patients (15 male and 10 female, age range 16 y to 55 y) with Knight and North Group Ⅲ zygomatic fractures were included in this case series. Open reduction by intraoral approach was performed on these patients, and the fractures were fixed using absorbable plates placed at the zygomaticomaxillary buttress and infraorbital rim. Postoperatively, follow-up was undertaken to evaluate the fracture healing, mouth opening, facial asymmetry, diplopia, and paresthesia.

Results:
Postoperatively, all patients achieved uneventful healing; facial symmetry and wound healing were achieved, along with sensory recovery involving the infraorbital nerve. Complications such as sensory disturbances, infection, diplopia, malunion, and nonunion were not encountered in these patients.

Conclusions:
Two-point fixation using absorbable plates by transoral approach can provide sufficient stabilization for Knight and North Group III zygomatic fractures.
Graph convolutional network learning model based on new integrated data of the protein-protein interaction network and network pharmacology for the prediction of herbal medicines effective for the treatment of metabolic diseases
Authors: Kim Tae-Hyoung , Yu Ga-Ram , Lim Dong-Woo , Park Won-Hwan 
Published: April 2024

AbstractChronic metabolic diseases constitute a group of conditions requiring long-term management and hold significant importance for national public health and medical care. Currently, in Korean medicine, there are no insurance-covered herbal prescriptions designated primarily for the treatment of metabolic diseases. Therefore, the objective of this study was to identify herbal prescriptions from the existing pool of insurance-covered options that could be effective in treating metabolic diseases. This research study employed a graph convolutional network learning model to analyze PPI network constructed from network pharmacology, aiming to identify suitable herbal prescriptions for various metabolic diseases, thus diverging from literature-based approaches based on classical indications. Additionally, the derived herbal medicine candidates were subjected to transfer learning on a model that binarily classified the marketed drugs into those currently used for metabolic diseases and those that are not for data-based verification. GCN, adept at capturing patterns within protein-protein interaction (PPI) networks, was utilized for classifying and learning the data. Moreover, gene scores related to the diseases were extracted from GeneCards and used as weights. The performance of the pre-trained model was validated through 5-fold cross-validation and bootstrapping with 100 iterations. Furthermore, to ascertain the superior performance of our proposed model, the number of layers was varied, and the performance of each was evaluated. Our proposed model structure achieved outstanding performance in classifying drugs, with an average precision of 96.68%, recall of 97.18%, and an F1 score of 96.74%. The trained model predicted that the most effective decoction would beJowiseunggi-tangfor hyperlipidemia,Saengmaegsanfor hypertension, andKalkunhaeki-tangfor type 2 diabetes. This study is the first of its kind to integrate GCN with weighted PPI network data to classify herbal prescriptions by their potential for usage on certain diseases.
Streptococcus pneumoniae: Nasal influenza vaccination, carriage density and transmission in families
Authors: Metz J. , Qian G. , Morales-Aza B. , Oliver J. , Oliver E. , Rice H. , Duale K. , Heath P. , Faust S.N. , Snape M.D. , Hughes S. , Hole L. , Mann R. , Shackley F. , Rudd P. , Ludman S. , Gessner BD. , Danon L. , Finn A. 
Published: April 2024

AbstractThe live attenuated influenza vaccine (LAIV) is offered in the United Kingdom to young children, protecting against influenza for those vaccinated and indirect protection for the wider community. It has also been shown to increase carriage density of Streptococcus pneumoniae, to an extent, in children. This study therefore investigates whether the vaccine leads to an increase in density in children and, if so, whether this augments transmission to household contacts.We implemented a randomised control study involving 405 two-year-old children and 958 household contacts. Nasopharyngeal swabs from all participants were taken over 5 visits, each two weeks apart, and tested for pneumococcal carriage. LAIV was given to 205 children at visit 1, and to 200 children at visit 2.We developed regression models to analyse the association between vaccination and whether an increase in pneumococcal density 14 and 28 days later was observed, as well as an increase in the odds of transmission to household members after administering LAIV.From regression analyses, there was a 2.5-fold (95%CI:1.3-4.3, p<0.001) increase in the odds of vaccinated children to have increased pneumococcal density 2 weeks later, compared with unvaccinated children, and a 2.1-fold (95%CI:1.2-3.6, p=0.011) increase in the odds of presumed transmission from children to their household contacts.Our results provide evidence that an attenuated influenza virus infection transiently increases the likelihood of pneumococcal transmission from children who are colonised with the bacterium to their contacts and that this increase is driven by an increase in bacterial abundance triggered by the vaccine.
Chromosomal-level genome of fish mintHouttuynia cordataThunb. (Saururaceae)
Authors: Law Sean T.S. , Nong Wenyan , Tsang Stacey S.K. , Lau David T.W. , Shaw Pang Chui , Hui Jerome H.L. 
Published: April 2024

AbstractHerbaceous flowering plants in the family Saururaceae, or commonly known as the lizard’s tail family, are native to Southeast Asia and North America. Fish mintHouttuynia cordatais native to Southeast Asia and widely cultivated as culinary herb and medicinal plant in traditional medicine. Here, using a combination of PacBio HiFi long-read sequencing and Omni-C data, we present the chromosomal-level genome assembly ofH. cordata(genome size 499.6 Mb). The genome has high sequence contiguity (scaffold N50 = 64.3 Mb) and completeness (BUSCO score of 94.6 %). 40,451 protein coding genes were also predicted using two transcriptomes generated in this study. The fish mint genome provides a valuable resource for further understanding the bioactive compounds and evolution of plants in the Saururaceae more widely.
Combined in vitro differentiation and cell sorting-based isolation of highly pure mouse bone marrow-derived basophils
Authors: Gambardella Adriana Rosa , Tirelli Valentina , Andreone Sara , Mancini Jacopo , Mattei Fabrizio , Schiavoni Giovanna 
Published: April 2024

AbstractBasophils constitute a rare population of granulocytes with key functions in allergies, immunodeficiencies and cancer. The scarcity of basophils in the human blood and tissues constitutes a considerable limit for the study of these cells. Interleukin-3 (IL-3) is a cytokine that stimulates both the differentiation and the expansion of basophils from bone marrow (BM) precursors by positively regulating the expression of the IL3Ra receptor. We have standardized anin vitrodifferentiation protocol of mouse basophils (mBaso) from BM precursors through culture in presence of IL-3 for 10 days followed by cell sorting. At the end of the 10-day differentiation, a considerable number of mBaso can be obtained and cell sorting procedures further improved the isolation of an extraordinarily pure (>98%) and vital FcεR1+CD11c-c-kit-mBaso population. Phenotypic analysis revealed that terminally differentiated (day 10) unsorted mBaso cultured for 24 hours showed a decrease in basophilic lineage (c-kit-) and an increase of mastocytic lineage (c-kit+) and reduced the expression of basophil markers FcεRI, CD49b and CD200R either in absence of stimuli or following activation with the alarmin IL-33, indicating cell dedifferentiation. In contrast, terminally differentiated and FcεR1+CD11c-c-kit-sorted mBaso do not dedifferentiate in mast cells when placed in culture, and responded to IL-33 stimulation by up-regulating the activation marker CD63 without down-modulation of FcεRI and CD200R3. These evidences highlight thatin vitrodifferentiation followed by cell sorting is a useful method to obtain elevated numbers of highly pure mBaso that preserve their lineage markers and thus are suitable for conducting the desired functional studies.
Detection of hemagglutinin H5 influenza A virus sequence in municipal wastewater solids at wastewater treatment plants with increases in influenza A in spring, 2024
Authors: Wolfe Marlene K. , Duong Dorothea , Shelden Bridgette , Chan Elana M. G. , Chan-Herur Vikram , Hilton Stephen , Paulos Abigail Harvey , Zulli Alessandro , White Bradley J. , Boehm Alexandria B. 
Published: April 2024

AbstractProspective influenza A (IAV) RNA monitoring at 190 wastewater treatment plants across the US identified increases in IAV RNA concentrations at 59 plants in spring 2024, after the typical seasonal influenza period, coincident with the identification of highly pathogenic avian influenza (subtype H5N1) circulating in dairy cattle in the US. We developed and validated a hydrolysis-probe RT-PCR assay for quantification of the H5 hemagglutinin gene. We applied it retrospectively to samples from three plants where springtime increases were identified. The H5 marker was detected at all three plants coinciding with the increases. Plants were located in a state with confirmed outbreaks of highly pathogenic avian influenza, H5N1 clade 2.3.4.4b, in dairy cattle. Concentrations of the H5 gene approached overall influenza A virus gene concentrations, suggesting a large fraction of IAV inputs were H5 subtypes. At two of the wastewater plants, industrial discharges containing animal waste, including milk byproducts, were permitted to discharge into sewers. Our findings demonstrate wastewater monitoring can detect animal-associated influenza contributions, and highlight the need to consider industrial and agricultural inputs into wastewater. This work illustrates wastewater monitoring’s value for comprehensive influenza surveillance for diseases with zoonotic potential across human and animal populations.
Clinically feasible liver tumour cell size measurement through histology-informedin vivodiffusion MRI
Authors: Grussu Francesco , Bernatowicz Kinga , Palombo Marco , Casanova-Salas Irene , Navarro-Garcia Daniel , Barba Ignasi , Simonetti Sara , Serna Garazi , Grigoriou Athanasios , Macarro Carlos , Voronova Anna , Garay Valezka , Corral Juan Francisco , Vidorreta Marta , García Pablo García-Polo , Merino Xavier , Mast Richard , Rosón Núria , Escobar Manuel , Vieito Maria , Toledo Rodrigo , Nuciforo Paolo , Mateo Joaquin , Garralda Elena , Perez-Lopez Raquel 
Published: April 2024

AbstractInnovative diffusion Magnetic Resonance Imaging (dMRI) models enable the non-invasive measurement of cancer biological propertiesin vivo. However, while cancers frequently spread to the liver, models tailored for liver application and easy to deploy in the clinic are still sought. We fill this gap by delivering a practical, clinically-viable dMRI framework for liver tumour imaging, informing its design through histology. By comparing dMRI and histological data from mice and cancer patients, we select a dMRI signal model of restricted intra-cellular diffusion with negligible extra-cellular contributions, maximising radiological-histological correlations. The model enables non-invasive liver cancer phenotyping, providing cell size and density estimates that i) correlate with their histopathology counterparts, ii) are associated to cell proliferation and tumour volume, and iii) that distinguish tumour types. By delivering metrics that are biologically meaningful, our approach may complement standard-of-care radiology, and become a new tool for enhanced cancer characterisation in precision oncology.
Synoptic Reporting by Summarizing Cancer Pathology Reports using Large Language Models
Authors: Rajaganapathy Sivaraman , Chowdhury Shaika , Buchner Vincent , He Zhe , Jiang Xiaoqian , Yang Ping , Cerhan James R. , Zong Nansu 
Published: April 2024

AbstractBackgroundSynoptic reporting, the documenting of clinical information in a structured manner, is known to improve patient care by reducing errors, increasing readability, interoperability, and report completeness. Despite its advantages, manually synthesizing synoptic reports from narrative reports is expensive and error prone when the number of structured fields are many. While the recent revolutionary developments in Large Language Models (LLMs) have significantly advanced natural language processing, their potential for innovations in medicine is yet to be fully evaluated.ObjectivesIn this study, we explore the strengths and challenges of utilizing the state-of-the-art language models in the automatic synthesis of synoptic reports.Materials and MethodsWe use a corpus of 7,774 cancer related, narrative pathology reports, which have annotated reference synoptic reports from Mayo Clinic EHR. Using these annotations as a reference, we reconfigure the state-of-the-art large language models, such as LLAMA-2, to generate the synoptic reports. Our annotated reference synoptic reports contain 22 unique data elements. To evaluate the accuracy of the reports generated by the LLMs, we use several metrics including the BERT F1 Score and verify our results by manual validation.ResultsWe show that using fine-tuned LLAMA-2 models, we can obtain BERT Score F1 of 0.86 or higher across all data elements and BERT F1 scores of 0.94 or higher on over 50% (11 of 22) of the questions. The BERT F1 scores translate to average accuracies of 76% and as high as 81% for short clinical reports.ConclusionsWe demonstrate successful automatic synoptic report generation by fine-tuning large language models.
The Relationship Between Immune Cells and Heart Failure: A Study Integrating Immune Infiltration Analysis and Bidirectional Mendelian Randomization
Authors: Yu Yiding , Yuan Huajing , Liu Wenwen , Xue Yitao , Liu Xiujuan , Hou Wangjun , Li Yan 
Published: April 2024

BackgroundIn recent years, attempts have been made to employ various immunomodulatory therapies as new treatment strategies for heart failure, yet the outcomes have been disappointing. Consequently, unveiling the complexity and causal relationships of the immune system’s role in heart failure has become imperative.MethodsWe first determined the levels of immune cells in failing myocardium using five immune infiltration algorithms: Cibersort, xCell, ssGSEA, MCPcounter, and QuanTIseq. Subsequently, two-sample bidirectional Mendelian Randomization (MR) analysis was conducted between heart failure and 731 immune cell phenotypes using Inverse Variance Weighted (IVW) as the main method, reinforced by MR-Egger, Weighted median, and Weighted mode as secondary analysis methods. Sensitivity analyses were performed to ensure data stability and feasibility.ResultsImmune infiltration analysis revealed changes in the levels of immune cell infiltration in failing myocardium, including T cells, Mast cells, B cells, NK cells, and macrophages. MR analysis indicated that 19 immune cell phenotypes from 5 cell types were associated with an increased risk of heart failure, while 12 immune cell phenotypes from 6 cell types were associated with a decreased risk, without heterogeneity and pleiotropy. Reverse MR analysis did not support a causal relationship between HF and any of the 731 immune cell phenotypes.ConclusionOur study highlights the complex pattern and causal relationship between the immune system and heart failure through immune infiltration and MR analyses. This provides new insights for the exploration of immunocyte therapies for heart failure.
Targeting circadian transcriptional programs through a cis-regulatory mechanism in triple negative breast cancer
Authors: Pan Yuanzhong , Chiu Tsu-Pei , Zhou Lili , Chan Priscilla , Kuo Tia Tyrsett , Battaglin Francesca , Soni Shivani , Jayachandran Priya , Li Jingyi Jessica , Lenz Heinz-Josef , Mumenthaler Shannon M. , Rohs Remo , Torres Evanthia Roussos , Kay Steve A. 
Published: April 2024

AbstractCircadian clock genes are emerging targets in many types of cancer, but their mechanistic contributions to tumor progression are still largely unknown. This makes it challenging to stratify patient populations and develop corresponding treatments. In this work, we show that in breast cancer, the disrupted expression of circadian genes has the potential to serve as biomarkers. We also show that the master circadian transcription factors (TFs) BMAL1 and CLOCK are required for the proliferation of metastatic mesenchymal stem-like (mMSL) triple-negative breast cancer (TNBC) cells. Using currently available small molecule modulators, we found that a stabilizer of cryptochrome 2 (CRY2), the direct repressor of BMAL1 and CLOCK transcriptional activity, synergizes with inhibitors of proteasome, which is required for BMAL1 and CLOCK function, to repress a transcriptional program comprising circadian cycling genes in mMSL TNBC cells. Omics analyses on drug-treated cells implied that this repression of transcription is mediated by the transcription factor binding sites (TFBSs) features in the cis-regulatory elements (CRE) of clock-controlled genes. Through a massive parallel reporter assay, we defined a set of CRE features that are potentially repressed by the specific drug combination. The identification ofcis-element enrichment might serve as a new concept of defining and targeting tumor types through the modulation ofcis-regulatory programs, and ultimately provide a new paradigm of therapy design for cancer types with unclear drivers like TNBC.