bluuebunny/crossref_metadata_2025_split huggingface dataset:
Plasma of COVID-19 patients does not alter electrical resistance of human endothelial blood-brain barrierin vitro
Authors: Pociūtė Agnė , Kriaučiūnaitė Karolina , Kaušylė Aida , Zablockienė Birutė , Alčauskas Tadas , Jelinskaitė Augustė , Rudėnaitė Akvilė , Jančorienė Ligita , Ročka Saulius , Verkhratsky Alexei , Pivoriūnas Augustas 
Published: September 2023

AbstractThe pandemic of Coronavirus Disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) instigated the most serious global health crisis. Clinical presentation of COVID-19 frequently includes severe neurological and neuropsychiatric symptoms. However, it is presently unknown whether and to which extent pathological impairment of blood-brain barrier (BBB) contributes to the development of neuropathology during COVID-19 progression.In the present study we used human induced pluripotent stem cells-derived brain endothelial cells (iBECs) to study the effects of blood plasma derived from COVID-19 patients on the BBB integrityin vitro. We also performed a comprehensive analysis of the cytokine and chemokine profiles in the plasma of COVID-19 patients, healthy and recovered individuals.We found significantly increased levels of interferon γ-induced protein 10 kDa (IP-10), hepatocyte growth factor (HGF), and interleukin-18 (IL-18) in the plasma of COVID-19 patients. However, blood plasma from COVID-19 patients did not affect transendothelial electrical resistance (TEER) in iBEC monolayers.Our results demonstrate that COVID-19-associated blood plasma inflammatory factors do not impair BBB integrity directly and suggest that pathological remodelling of BBB during COVID-19 may occur through indirect mechanisms.
Anti-prion drugs do not improve survival in knock-in models of inherited prion disease
Authors: Walsh Daniel J. , Rees Judy R. , Mehra Surabhi , Bourkas Matthew E.C. , Kaczmarczyk Lech , Stuart Erica , Jackson Walker S. , Watts Joel C. , Supattapone Surachai 
Published: September 2023

AbstractPrion diseases uniquely manifest in three distinct forms: inherited, sporadic, and infectious. Wild-type prions are responsible for the sporadic and infectious versions, while mutant prions cause inherited variants like fatal familial insomnia (FFI) and familial Creutzfeldt-Jakob disease (fCJD). Although some drugs can prolong prion incubation times up to four-fold in rodent models of infectious prion diseases, no effective treatments for FFI and fCJD have been found.In this study, we evaluated the efficacy of various anti-prion drugs on newly-developed knock-in mouse models for FFI and fCJD. These models express bank vole prion protein (PrP) with the pathogenic D178N and E200K mutations. We applied various drug regimens known to be highly effective against wild-type prionsin vivoas well as a brain-penetrant compound that inhibits mutant PrPScpropagationin vitro. None of the regimens tested (Anle138b, IND24, Anle138b + IND24, cellulose ether, and PSCMA) significantly extended disease-free survival or prevented mutant PrPScaccumulation in either knock-in mouse model, despite their ability to induce strain adaptation of mutant prions. Paradoxically, the combination of Anle138b and IND24 appeared to accelerate disease by 16% and 26% in kiBVIE200Kand kiBVID178Nmice, respectively, and accelerated the aggregation of mutant PrP moleculesin vitro. Our results show that anti-prion drugs originally developed to treat infectious prion diseases do not necessarily work for inherited prion diseases, and that the recombinant sPMCA is not a reliable platform for identifying compounds that target mutant prions. This work underscores the need to develop therapies and validate screening assays specifically for mutant prions.
AMPK Regulates Phagophore-to-Autophagosome Maturation
Authors: Barnaba Carlo , Broadbent David G. , Perez Gloria I. , Schmidt Jens C. 
Published: September 2023

AbstractAutophagy is an important metabolic pathway that can non-selectively recycle cellular material or lead to targeted degradation of protein aggregates or damaged organelles. Autophagosome formation starts with autophagy factors accumulating on lipid vesicles containing ATG9. These phagophores attach to donor membranes, expand via ATG2-mediated lipid transfer, capture cargo, and mature into autophagosomes, ultimately fusing with lysosomes for their degradation. Autophagy can be activated by nutrient stress, for example by a reduction in the cellular levels of amino acids. In contrast, how autophagy is regulated by low cellular ATP levels via the AMP-activated protein kinase (AMPK), an important therapeutic target, is less clear. Using live-cell imaging and an automated image analysis pipeline, we systematically dissect how nutrient starvation regulates autophagosome biogenesis. We demonstrate that glucose starvation downregulates autophagosome maturation by AMPK mediated inhibition of phagophores tethering to donor membranes. Our results clarify AMPK’s regulatory role in autophagy and highlight its potential as a therapeutic target to reduce autophagy.
Differential regulation by CD47 and thrombospondin-1 of extramedullary erythropoiesis in mouse spleen
Authors: Banerjee Rajdeep , Meyer Thomas J. , Cam Margaret C. , Kaur Sukhbir , Roberts David D. 
Published: September 2023

AbstractExtramedullary erythropoiesis is not expected in healthy adult mice, but erythropoietic gene expression was elevated in lineage-depleted spleen cells fromcd47−/−mice. Expression of several genes associated with early stages of erythropoiesis was elevated in mice lacking CD47 or its signaling ligand thrombospondin-1, consistent with previous evidence that this signaling pathway inhibits expression of multipotent stem cell transcription factors in spleen. In contrast, cells expressing markers of committed erythroid progenitors were more abundant incd47−/−spleens but significantly depleted inthbs1−/−spleens. Single cell transcriptome and flow cytometry analyses indicated that loss of CD47 is associated with accumulation and increased proliferation in spleen of Ter119−CD34+progenitors and Ter119+CD34−committed erythroid progenitors with elevated mRNA expression of Kit, Ermap, and Tfrc. Induction of committed erythroid precursors is consistent with the known function of CD47 to limit the phagocytic removal of aged erythrocytes. Conversely, loss of thrombospondin-1 delays the turnover of aged red blood cells, which may account for the suppression of committed erythroid precursors inthbs1−/−spleens relative to basal levels in wild type mice. In addition to defining a role for CD47 to limit extramedullary erythropoiesis, these studies reveal a thrombospondin-1-dependent basal level of extramedullary erythropoiesis in adult mouse spleen.
MicroRNAs are necessary for the emergence of Purkinje cell identity
Authors: Zolboot Norjin , Xiao Yao , Du Jessica X. , Ghanem Marwan M. , Choi Su Yeun , Junn Miranda J. , Zampa Federico , Huang Zeyi , MacRae Ian J. , Lippi Giordano 
Published: September 2023

SummaryBrain computations are dictated by the unique morphology and connectivity of neuronal subtypes, features established by closely timed developmental events. MicroRNAs (miRNAs) are critical for brain development, but current technologies lack the spatiotemporal resolution to determine how miRNAs instruct the steps leading to subtype identity. Here, we developed new tools to tackle this major gap. Fast and reversible miRNA loss-of-function revealed that miRNAs are necessary for cerebellar Purkinje cell (PC) differentiation, which previously appeared miRNA-independent, and resolved distinct miRNA critical windows in PC dendritogenesis and climbing fiber synaptogenesis, key determinants of PC identity. To identify underlying mechanisms, we generated a mouse model, which enables precise mapping of miRNAs and their targets in rare cell types. With PC-specific maps, we found that the PC-enriched miR-206 drives exuberant dendritogenesis and modulates synaptogenesis. Our results showcase vastly improved approaches for dissecting miRNA function and reveal that many critical miRNA mechanisms remain largely unexplored.HighlightsFast miRNA loss-of-function with T6B impairs postnatal Purkinje cell developmentReversible T6B reveals critical miRNA windows for dendritogenesis and synaptogenesisConditional Spy3-Ago2 mouse line enables miRNA-target network mapping in rare cellsPurkinje cell-enriched miR-206 regulates its unique dendritic and synaptic morphology
Articular cartilage corefucosylation regulates tissue resilience in osteoarthritis
Authors: Homan Kentaro , Onodera Tomohiro , Hanamatsu Hisatoshi , Furukawa Jun-ichi , Momma Daisuke , Matsuoka Masatake , Iwasaki Norimasa 
Published: September 2023

AbstractThis study aimed to investigate the glycan structural changes that occur before histological degeneration in osteoarthritis (OA) and to determine the mechanism by which these glycan conformational changes affect cartilage degeneration. An OA model was established in rabbits using mannosidase injection, which reduced high-mannose type N-glycans and led to cartilage degeneration. Further analysis of glycome in human OA cartilage identified specific corefucosylated N-glycan expression patterns. Inhibition of N-glycan corefucosylation resulted in unrecoverable cartilage degeneration, while cartilage-specific blocking of corefucosylation led to accelerated development of aging-associated and instability-induced OA models. We conclude that α1,6 fucosyltransferase is required postnatally to prevent preosteoarthritic deterioration of articular cartilage. These findings provide a novel definition of early OA and identify glyco-phenotypes of OA cartilage, which may distinguish individuals at higher risk of progression.
Bibliometric analysis of published articles on perinatal anxiety from 1920-2020
Authors: Dol Justine , Campbell-Yeo Marsha , Leahy-Warren Patricia , LaPointe Chloe Hambly , Dennis Cindy-Lee 
Published: September 2023

ABSTRACTIntroductionTrends and gaps in perinatal anxiety research remain unknown. The objective of this bibliometric review was to analyze the characteristics and trends in published research on perinatal anxiety to inform future research.MethodsAll published literature in Web of Science on perinatal anxiety from January 1, 1920 to December 31, 2020 were screened by two reviewers. VOSViewer was utilized to visualize linkages between publications. Bibliometric data were extracted from abstracts.ResultsThe search strategy identified 4,561 publications. After screening, 2,203 publications related to perinatal anxiety were used for the visualization analysis. For the bibliometric data, 1,534 publications had perinatal anxiety as a primary focus. There were 7,910 different authors, over half named only once (55.5%), from 63 countries. 495 journals were identified, with over half (56.0%) publishing only one article. Most articles were published between 2011-2020 (75.9%). In terms of perinatal timing, over half (54.2%) published on antenatal anxiety. Only 6.0% of studies reported on perinatal anxiety in fathers and 56.5% reported on postpartum depression.LimitationsWeb of Science was solely used, and manual screening of each publication was required.ConclusionThis bibliometric analysis found: (1) perinatal is a growing field of research, with publications increasing over time; (2) there is variation in authors and journals; (3) over half of the publications focus on antenatal anxiety; (4) paternal anxiety is understudied; and (5) only 6% of publications came from low and lower-middle income countries. Gaps related to maternal postnatal, and all paternal perinatal anxiety exist.
Networked proteins redundantly interact with VAP27 and RABG3 to regulate membrane tethering at the vacuole and beyond
Authors: Kaiser Sabrina , Mehlhorn Dietmar , Miranda Paulina Ramirez , Ries Fabian , Sommer Frederik , Schroda Michael , Schumacher Karin , Willmund Felix , Grefen Christopher , Scheuring David 
Published: September 2023

AbstractBiological processes in eukaryotes depend on the spatio-temporal compartmentalization of their cells. Integrity and positioning of organelles on the other hand rely on the organization of the actin cytoskeleton. Previously, it has been shown that changes of the plants largest organelle, the vacuole, depend on a functional actin organization. The connection between actin filaments and the vacuole is established by the family of Networked (NET) 4 proteins and, consequently, altering NET4 abundance impacts vacuolar morphology. However, the precise regulatory mechanism is unknown and gene deletions ofNET4did not result in a global growth phenotype. Here, we show that NET4 functions redundantly with NET3, interacting with RABG3-GTPases at the vacuole to allow for homotypic fusion or, alternatively, the generation of endoplasmic reticulum (ER) - vacuole contact sites. We found that ER-resident NET3 is able to interact with RABG3 residing at the tonoplast and that NET4 interacts with the contact site protein VAP27-1 at the ER. Generation ofnet3 net4triple mutants by CRSIPR-guided mutagenesis helped us to overcome functional redundancy, resulting in impaired plant growth and development. Our results demonstrate how diversification ofNETgenes led to functional redundancy between different family members to create cellular plasticity of vascular plants. We hypothesize that establishment of a direct ER-vacuole connection enables direct lipid and protein transfer which is especially important in young and fast-growing cells. Availability of lipids would facilitate rapidly expanding vacuoles, which are the basis for high cell elongation rates and eventually fast plant growth.
Agile DMAIC cycle: incorporating process mining and support decision
Authors: Prado Renan Ribeiro Do , Boareto Pedro Antonio , Chaves Joceir , Santos Eduardo Alves Portela 
Published: September 2023

Purpose
The aim of this paper is to explore the possibility of using the Define-Measure-Analyze-Improve-Control (DMAIC) cycle, process mining (PM) and multi-criteria decision methods in an integrated way so that these three elements combined result in a methodology called the Agile DMAIC cycle, which brings more agility and reliability in the execution of the Six Sigma process.

Design/methodology/approach
The approach taken by the authors in this study was to analyze the studies arising from this union of concepts and to focus on using PM tools where appropriate to accelerate the DMAIC cycle by improving the first two steps, and to test using the AHP as a decision-making process, to bring more excellent reliability in the definition of indicators.

Findings
It was indicated that there was a gain with acquiring indicators and process maps generated by PM. And through the AHP, there was a greater accuracy in determining the importance of the indicators.

Practical implications
Through the results and findings of this study, more organizations can understand the potential of integrating Six Sigma and PM. It was just developed for the first two steps of the DMAIC cycle, and it is also a replicable method for any Six Sigma project where data acquisition through mining is possible.

Originality/value
The authors develop a fully applicable and understandable methodology which can be replicated in other settings and expanded in future research.
The effect of NPD complexity on NPD performance via inter-organizational collaboration and conflict
Authors: Um Ki-Hyun 
Published: September 2023

PurposeThis study develops a conceptualization of NPD (new product development) complexity and explores how inter-organizational collaboration and conflict influence NPD performance.Design/methodology/approachAn empirical examination tests the proposed relationships in the context of Korean manufacturing firms, which currently engage in NPD projects with their key partners. Structural equation modeling (SEM) was used to examine the hypotheses.FindingsThe findings suggest that a higher level of NPD complexity simultaneously calls for inter-organizational collaboration and conflict, and these two factors influence NPD performance in a conflicting manner: inter-organizational collaboration serves as a driver, and inter-organizational conflict acts as a barrier against NPD performance.Originality/valueThis study provides answers to the academic and practical calls by providing how NPD complexity should be managed in a way to increase NPD performance. This study provides insight into how manufacturing firms form inter-organizational collaboration practices and why they need to mitigate inter-organizational conflict.
Income smoothing management and loan loss provisions in the banking system
Authors: Gómez-Ortega Alba , Licerán-Gutiérrez Ana , Horno-Bueno Maria de la Paz 
Published: September 2023

PurposeThe “public interest” of financial institutions was used as an argument to intervene in accounting practices. The Bank of Spain's standard was not compatible with International Accounting Standard (henceforth IAS) 39 and the Spanish banking sector had become one of the most provisioned in Europe. This makes it an interesting case study of the relationship between provisioning and income smoothing. The 2008 financial crisis revealed that provisions were insufficient and a reinforcement regulation process began in 2012. This paper aims to examine whether, since 2012, the Bank of Spain's regulatory effort on impairment accounting standards has induced less income smoothing, correcting its countercyclical effect.Design/methodology/approachA regression model is applied during the period 2005–2020, to test whether there is a trend change in the correlation between the level of provisions and annual earnings in 2012.FindingsThe results show that from 2012 onwards (when the Bank of Spain reinforced the regulation on provisioning), there was a correction in income smoothing behaviour.Originality/valueThis study provides empirical evidence that reinforces the claim that accounting policy can affect decision-making accounting practices, in this particular case, at the Bank of Spain.
Influencer recommendation system: choosing the right influencer using a network analysis approach
Authors: Jha Abhishek Kumar , Ray Sanjog 
Published: September 2023

PurposeThe rise of social media has led to the emergence of influencers and influencer marketing (IM) domains, which have become important areas of academic inquiry. However, despite its prominence as an area for study, several significant challenges must be addressed. One significant challenge involves identifying, assessing and recommending social media influencers (SMIs). This study proposes a semantic network model capable of measuring an influencer's performance on specific topics or subjects to address this issue. This study can assist managers in identifying suitable SMIs based on their estimated reach.Design/methodology/approachData from popular YouTube influencers and publicly available performance measures (views and likes) are extracted. Second, the titles of the past videos made by the influencer are used to develop a semantic network connecting all the videos to other videos based on similarity measures. Third, the nearest neighbor approach extracts the neighbors of the target title video. Finally, based on the set of neighbors, a range prediction is made for the views and likes of the target video with the influencer.FindingsThe results show that the model can predict an accurate range of views and likes based on the suggested video titles and the content creator, with 69–78% accuracy across different influencers on YouTube.Research limitations/implicationsThe current study introduces a novel and innovative approach that exploits the textual association between a SMI's previous content to forecast the outcome of their future content. Although the findings are encouraging, this research recognizes various constraints that upcoming researchers may tackle. Forecasting views of posts concerning novel subjects and precisely adjusting video view counts based on their age constitute two primary limitations of this study.Practical implicationsManagers interested in hiring influencers can employ the suggested approach to evaluate an influencer's potential performance on a specific topic. This research aids managers in making informed decisions regarding influencer selection, utilizing data-based metrics that are simple to comprehend and explain.Originality/valueThe study contributes to outreach evaluation and better estimating the impact of SMIs using a novel semantic network approach.
Managerial sentiment and corporate risk-taking: evidence from Chinese listed companies’ annual reports
Authors: Qin Zhihao , Cui Menglin , Yan Jiaqi , Niu Jie 
Published: September 2023

Purpose
This paper aims to examine whether managerial sentiment, extracted from annual reports, is associated with corporate risk-taking in the context of Chinese companies. This study expands the vein of literature on overconfidence theory.

Design/methodology/approach
By leveraging textual analysis on Chinese listed companies’ annual reports, the authors construct firm-level managerial sentiment during 2007 and 2021 to examine how managerial sentiment influences corporate risk-taking after control for firm characteristics. Corporate risk-taking is denoted by corporate investment engagements: capital expenditures and net fixed asset investment.

Findings
Results show that incentives for corporate risk-taking are likely to increase with the positive managerial sentiment and decrease with the negative sentiment in companies’ annual reports. Positive managerial sentiment is associated with over-/under-investment and low/high investment efficiency. Further additional tests show that the managerial sentiment effect only holds during low economic uncertain years and samples of private-owned firms. Furthermore, the robust tests indicate that there is no endogenous issue between managerial sentiment and corporate risk-taking.

Research limitations/implications
Annual report textual-based managerial sentiment may not perfectly reflect managers’ lower frequency sentiment (e.g. weekly, monthly and quarterly sentiment). Future studies could attempt to capture managers’ on-time sentiment by using media sources and corporate disclosures.

Practical implications
To the best of the authors’ knowledge, this paper is the first research to provide insights into supervising managers’ corporate decisions by observing their textual information usage in corporate disclosure. Moreover, the approach of measuring managerial sentiment might be a solution to monitoring managerial class.

Originality/value
This paper contributes to the literature on accounting and finance studies, adding another piece of empirical evidence on content analysis by examining a unique language and institutional context (i.e. China). Besides, the paper notes that in line with the English version disclosure, based on Chinese semantic words, managerial sentiment in the Chinese-speaking world has magnitude on corporate decisions. The research provides insights into supervising managers’ corporate decisions by observing their textual information usage in corporate disclosure. Moreover, the approach to measuring managerial sentiment may be a practical solution to monitoring managerial class.