bluuebunny/crossref_metadata_2025_split huggingface dataset:
Whole Exome Sequencing RevealsFCGBPVariant Associated with Spontaneous Intraabdominal Hemorrhage in Severe Acute Pancreatitis
Authors: Tang Qiu-Yi , Hu Yue-Peng , Yang Qi , Zhou Jing , Zhang Jing-Zhu , Yang Jie , Hao Haibin , Li Gang , Li Bai-Qiang , Ke Lu , Tong Zhi-Hui , Liu Yu-Xiu , Yu Evan Yi-Wen , Li Wei-Qin 
Published: August 2024

AbstractThis study sought to identify genetic cause of spontaneous intraabdominal hemorrhage (SIH) in severe acute pancreatitis (SAP) to develop more effective treatment for this life-threatening complication. A four-phase study was conducted, leveraging a large-scale acute pancreatitis (AP) patients (n=600); the first phase involved whole-exome sequencing analyses, and identified specific exonic variant located inFCGBP(i.e., rs1326680184) that was consistently associated with SIH; the second phase performed serum ELISA tests, and revealed thatFCGBPvariant altered FCGBP level and further led to predisposition of SIH; the third phase conducted an i)in-vivoexperiment with aFcgbp-knockdown mouse model, and demonstrated lower expression ofFcgbpled to more severe AP morphology and higher risk of hemorrhage; ii)in-vitroexperiment withFCGBP-knockdown human vascular fibroblasts demonstrated that down-regulatedFCGBPexpression could destabilize the vascular wall, and lead to vascular injury in SAP; the fourth phase comparedFCGBPvariant carriers to non-carriers with clinical characteristics, and foundFCGBPvariant associated with higher risks of poor complications and AP prognosis and enhanced the diagnostic capability as an indicator. These findings provide important insights into the underlying mechanism of SIH in SAP, and facilitate therapeutic development for AP prognosis and critical care in an early phase.HighlightsGenetic mutation inFCGBPpresents a strong association with predisposition of spontaneous intraabdominal hemorrhage, and provide a novel insight in increasing the severity of acute pancreatitis when knockdown the expression of Fcgbp.The incorporation ofFCGBPmutation as an indicator enhances the ability of clinical assessment with respect to complications and mortality of acute pancreatitis in an early phase before manifestation.Our findings highlight the geneFCGBPas a probable pathogenic cause of spontaneous intraabdominal hemorrhage in severe acute pancreatitis patients, which enable a development of effective targeted therapies in improving the prognosis and critical care of severe acute pancreatitis.
Assembling the Challenge of Multimorbidity in Zimbabwe: A Participatory Ethnographic Study
Authors: Dixon Justin , Dhodho Efison , Mundoga Fionah , Webb Karen , Chimberengwa Pugie , Mhlanga Trudy , Nhapi Tatenda , Chinyanga Theonevus Tinashe , Mudavanhu Justice , Nkala Lee , Nyabereka Ronald , Gwati Gwati , Shambira Gerald , Zaranyika Trust , Chandler Clare I.R. , Ferrand Rashida A. , Ndhlovu Chiratidzo Ellen 
Published: August 2024

AbstractMultimorbidity, increasingly recognised as a global health challenge, has recently emerged on the health agendas of many lower-income countries, including in Africa. Yet with its conceptual origins in the global North, its meaning and possible utility for stakeholders in lower-resources settings remains abstract. This study drew together policymakers, public health practitioners, academics, health informaticians, health professionals, and people living with multimorbidity (PLWMM) in Zimbabwe to understand: What is the transformative potential and possible limitations of elevating multimorbidity as a priority in this setting? To bring these different perspectives into conversation, we used a participatory ethnographic design that involved a health facility survey, participant-observation, in-depth interviews, audio-visual diaries, and participatory workshops. Multimorbidity, we found, was new to many respondents but generally viewed as a meaningful and useful concept. It foregrounded a range of challenges related to the ‘vertical’ organisation and uneven funding of different diseases, while revealing promising opportunities for integration across entrenched silos of knowledge and practice. However, with capacity and momentum to address multimorbidity currently concentrated within the HIV programme, there was concern that multimorbidity could itself become verticalized, undercutting its transformative potential. Participants agreed that responding to multimorbidity requires a decisive shift from vertical, disease-centred programming to restore the comprehensive primary care that undergirded Zimbabwe’s once-renowned health system. It also means building a policy-enabling environment that values generalist (as well as specialist) knowledge, ground-level experience, and inclusive stakeholder engagement. The ‘learning’ health system, we conclude, represents a promising conceptual lens for unifying these imperatives, providing a tangible framework for how knowledge, policy, and practice synergise within more self-reliant, person-centred health systems able to respond to ever-evolving complex health challenges like multimorbidity.
A time-multiplexing approach to shared ventilation
Authors: Yarinsky Jacob Q , Blocker Abby , Alves Pinto Carolyna Yamamoto , Passaglia Christopher L , Pasetto Stefano , Enderling Heiko , Muncey Aaron R 
Published: August 2024

AbstractVentilator shortages during the COVID-19 pandemic forced some hospitals to practice and many to consider shared ventilation, where a single ventilator is used to ventilate multiple patients simultaneously. However, the high risk of harm to co-ventilated patients secondary to the inability to treat anatomically different patients or safely adapt to dynamic ventilation requirements has prevented full adoption of multi-patient coventilation. Here, a time-multiplexing approach to shared ventilation is introduced to overcome these safety concerns. A proof-of-concept device consisting of electromechanically coupled ball valves to induce customized resistances and facilitate the delivery of alternating breaths from the ventilator to each patient is presented. The approach successfully ventilated two test lungs, and individualized tidal volume combinations of various magnitudes were produced. Over five hours of co-ventilation, consistency in tidal volume delivery was comparable to independent ventilation. Time-multiplexing was able to facilitate delivery of statistically unique tidal volumes to two test lungs and maintain the consistency of tidal volumes within each test lung while independently ventilated with identical parameters. The ability to adjust each test lung’s inspiratory pressures dynamically and independently was also demonstrated. The time-multiplexing approach has the potential to increase the viability of co-ventilation for ongoing and future ventilator shortages.
ThermoTargetMiner as a proteome integral solubility alteration target database for prospective drugs against lung cancer
Authors: Lyu Hezheng , Gharibi Hassan , Sokolova Bohdana , Voiland Anna , Nilsson Brady , Meng Zhaowei , Gaetani Massimiliano , Saei Amir Ata , Zubarev Roman A. 
Published: August 2024

AbstractKnowledge of the targets of therapeutic compounds is vital for understanding their action mechanisms and side effects, but such valuable data is seldom available. The multiple complementary techniques needed for comprehensive target characterization must combine data reliability with sufficient analysis throughput. Here, we leveraged the Proteome Integral Solubility Alteration (PISA) assay to comprehensively characterize the targets of 67 approved drugs and candidate compounds against lung cancer. The analysis was performed on two cell lines representing different lung cancer phenotypes and novel targets for 77% of the tested molecules were found. Comparison of the protein solubility shifts in lysate vs. living cells highlighted the targets directly interacting with the compounds. As PISA analysis is now joining the arsenal of fast and reliable target characterization techniques, the presented database, ThermoTargetMiner, will become a useful resource in lung cancer research.
βA3/A1-crystallin is an epigenetic regulator of histone deacetylase 3 (HDAC3) in the retinal pigmented epithelial (RPE) cells
Authors: Chatterjee Sujan , Ghosh Sayan , Sin Zachary , Davis Emily , Preval Loretta Viera , Tran Nguyen , Bammidi Sridhar , Gautam Pooja , Hose Stacey , Sergeev Yuri , Flores-Bellver Miguel , Aldiri Issam , Sinha Debasish , Guha Prasun 
Published: August 2024

Introductory paragraphThe retinal pigmented epithelial (RPE) cells maintain retinal homeostasis, and alterations in their function contribute to non-exudative age-related macular degeneration (AMD)1,2. Here, we explore the intricate relationship between RPE cells, epigenetic modifications, and the development of AMD. Importantly, the study reveals a substantial decrease in histone deacetylase 3 (HDAC3) activity and elevated histone acetylation in the RPE of human AMD donor eyes. To investigate epigenetic mechanisms in AMD development, we used a mouse model with RPE-specificCryba1knockout3–5, revealing that the loss of βA3/A1-crystallin selectively reduces HDAC3 activity, resulting in increased histone acetylation. βA3/A1-crystallin activates HDAC3 by facilitating its interaction with the casein kinase II (CK2) and phosphorylating HDAC3, as well as by regulating intracellular InsP6 (phytic acid) levels, required for activating HDAC3. These findings highlight a novel function of βA3/A1-crystallin as an epigenetic regulator of HDAC3 in the RPE cells and provide insights into potential therapeutic strategies in non-exudative AMD.
Novel If1 mechanism preventing ATP hydrolysis by the ATP synthase subcomplex inSaccharomyces cerevisiae
Authors: Lerouley Orane , Larrieu Isabelle , Ducrocq Tom Louis , Pinson Benoît , Giraud Marie-France , Mourier Arnaud 
Published: August 2024

AbstractThe mitochondrial F1F0-ATP synthase is crucial for maintaining the ATP/ADP balance which is critical for cell metabolism, ion homeostasis, cell division, proliferation and motility. This enzyme, conserved across evolution, is found in the mitochondria or chloroplasts of eukaryotic cells and the plasma membrane of bacteria.In vitrostudies have shown that the mitochondrial F1F0-ATP synthase is reversible, capable of hydrolyzing instead of synthesizing ATP.In vivo, its reversibility is inhibited by the endogenous peptide If1 (Inhibitory Factor 1), which specifically prevents ATP hydrolysis in a pH-dependent manner. Despite its presumed importance, the loss of If1 in various model organisms does not cause severe phenotypes, suggesting its role may be confined to specific stress or metabolic conditions yet to be discovered. In this study, we explored the structural and physiological importances of If1 inhibitory peptides inSaccharomyces cerevisiae. Our analyses indicate that inhibitory peptides are crucial in mitigating metabolic adverse outcomes caused by mitochondrial depolarizing stress under glyco-oxidative metabolic conditions. Under glyco-oxidative metabolic state, the energy maintenance relies both on glycolysis and oxidative phosphorylation. Additionally, we found that the absence of If1 destabilizes the nuclear-encoded free F1subcomplex. This novel mechanism of action highlights the role of If1 in preventing harmful ATP wastage, offering new insights into its function under physiological and pathological conditions.
mTORC1 Signaling Inhibition Modulates Mitochondrial Function in Frataxin Deficiency
Authors: Lehmer Madison , Zoncu Roberto 
Published: August 2024

AbstractLysosomes regulate mitochondrial function through multiple mechanisms including the master regulator, mechanistic Target of Rapamycin Complex 1 (mTORC1) protein kinase, which is activated at the lysosomal membrane by nutrient, growth factor and energy signals. mTORC1 promotes mitochondrial protein composition changes, respiratory capacity, and dynamics, though the full range of mitochondrial-regulating functions of this protein kinase remain undetermined. We find that acute chemical modulation of mTORC1 signaling decreased mitochondrial oxygen consumption, increased mitochondrial membrane potential and reduced susceptibility to stress-induced mitophagy. In cellular models of Friedreich’s Ataxia (FA), where loss of the Frataxin (FXN) protein suppresses Fe-S cluster synthesis and mitochondrial respiration, the changes induced by mTORC1 inhibitors lead to improved cell survival. Proteomic-based profiling uncover compositional changes that could underlie mTORC1-dependent modulation of FXN-deficient mitochondria. These studies highlight mTORC1 signaling as a regulator of mitochondrial composition and function, prompting further evaluation of this pathway in the context of mitochondrial disease.
Mindstep Mood and Cause Examination (MMCE): The Preferred Tool for Remote Digital Depression Screening
Authors: Mahmud M. , Kuleindiren N. , Suddell S. , Rifkin-Zybutz R. , Sharma P. , Osunronbi T. , Pounds O. , Selim H. , Patchava A. , Lin A. , Alim-Marvasti A. 
Published: August 2024

AbstractBackgroundDigital health technologies are increasingly being used to monitor, assess, and treat depressive symptoms in the community. However, many such technologies rely on screening tools which were originally designed for use in primary care clinics, such as the Patient Health Questionnaire (PHQ-9). These scales are symptom-focused and do not capture the wider experiences of the patient. We developed a new screen for assessing depressive symptoms in a digital setting. Named the Mindstep Mood and Cause Examination (MMCE), it was designed to replicate the predictive capabilities of the PHQ-9, while improving user experience and capturing broader determinants of mental health.MethodThis was a cross-sectional study, conducted fully remotely on Prolific. Participants (n=367) completed both the PHQ-9 and the MMCE, in a randomised order. Responses on the MMCE were examined for a range of psychometric properties, including: internal consistency, item selectivity, and convergence with PHQ-9 scores. User experience was assessed with a theory-led acceptability scale and compared across both mental health measures. Thematic analysis was used to analyse participants’ free text responses, describing their experience of completing the scales.ResultsThe MMCE displayed good internal consistency and strong convergence with the PHQ-9 (r= 0.70), accounting for 49% of the variance in PHQ-9 scores. The MMCE also demonstrated robust predictive capability for the PHQ-9 using a moderate depression symptom cut-off of 10, with an Area Under Curve (AUC) of 0.84. In direct comparisons between the scales, 259 of 367 users (70.1%) preferred the MMCE and the MMCE outperformed the PHQ-9 in 8 out of 12 user experience categories.ConclusionsThe MMCE has demonstrated validity in predicting PHQ-9 scores and offers an improved user experience, while additionally encouraging the user to examine the underlying causes of their depressive symptoms. However, additional research is necessary to evaluate the MMCE in terms of repeated assessments for effective depression monitoring.
Machine learning for comprehensive interaction modelling improves disease risk prediction in the UK Biobank
Authors: Julkunen Heli , Rousu Juho 
Published: August 2024

AbstractUnderstanding how risk factors interact to jointly influence disease risk can provide insights into disease development and improve risk prediction. We introducesurvivalFM, a machine learning extension to the widely used Cox proportional hazards model that incorporates estimation of all potential pairwise interaction effects on time-to-event outcomes. The method relies on learning a low-rank factorized approximation of the interaction effects, hence overcoming the computational and statistical limitations of fitting these terms in models involving many predictor variables. The resulting model is fully interpretable, providing access to the estimates of both individual effects and the approximated interactions. Comprehensive evaluation ofsurvivalFMusing the UK Biobank dataset across ten disease examples and a variety of clinical risk factors and omics data modalities shows improved discrimination and reclassification performance (65% and 97.5% of the scenarios tested, respectively). Considering a clinical scenario of cardiovascular risk prediction using predictors from the established QRISK3 model, we further show that the comprehensive interaction modelling adds predictive value beyond the individual and age interaction effects currently included. These results demonstrate that comprehensive modelling of interactions can facilitate advanced insights into disease development and improve risk predictions.
Professional grief in cancer care – A scoping review
Authors: Wandke Svenja , Führes Hannah , Thomas Mareike , Lang Klaus , Härter Martin , Oechsle Karin , Scholl Isabelle 
Published: August 2024

ObjectiveHealthcare professionals (HCPs) in cancer care often face patient deaths, yet there is a notable absence of comprehensive evidence regarding their grief. This scoping review seeks to identify key aspects of professional grief in cancer care and give an overview pertaining its’ conceptualization and frequency and intensity.MethodsThe primary search covered three databases (PUBMED, PSYNDEX, and PsycINFO). Two independent reviewers assessed 2,248 records, selecting 34 eligible articles.ResultsMost studies originated from North America and Israel, with limited evidence from the global south, East Asia and Europe, as well as few quantitative studies. HCPs exhibit classic grief symptoms (such as sadness) and distinct features (e.g., feelings of guilt) in response to patient deaths, though a clear definition and measures of professional grief are lacking. Grief frequency varies highly (from 23% to 100%).ConclusionsFuture research should refine definitions and measures to better support HCPs in effectively managing professional grief in cancer care.
Effects of consumers’ engagement in pro-environment activities on social media on green consumption behaviour
Authors: Li Fenghua 
Published: August 2024

PurposeBased on the stimuli-organism-response (SOR) theory, the purpose of this study is to demonstrate the impact of consumers’ engagement in pro-environment activities on social media on consumer green consumption behaviour, and explore the explicatory mechanism and boundary conditions for the relationship between them.Design/methodology/approachThis study collected data from 312 Chinese consumers by using the research platform Credamo, a Chinese online survey platform. A structural equation model and hierarchical regression modelling were used to analyse the data.FindingsConsumers’ engagement in pro-environmental activities on social media has a positive influence on environmental awareness that positively affects green consumption behaviour. Environmental awareness plays a mediating role in the relationship between consumers’ engagement in pro-environmental activities on social media and green consumption behaviour. Furthermore, green intrinsic motivation and green extrinsic motivation play positive and negative regulating roles respectively in the relationship between environmental awareness and green consumption behaviour.Originality/valueThis study enriches the research on the antecedent variables of green consumption behaviour. At the same time, it also expands the research on the outcome variables of the impact of engagement in environmental protection activities on people’s subsequent behaviour, deepens and expands the research on green consumption behaviour and its applicable boundaries, offering both theoretical insights and practical implications for enterprise marketing strategies and government management.
The impact of innovative leadership and total quality management in 21st-century banking: an empirical insight and foresight
Authors: Koomson Samuel 
Published: August 2024

Purpose
The purpose of this paper is to examine how innovative leadership (INL) drives innovation performance (INP) in banks.

Design/methodology/approach
This study develops and investigates a research model by assessing the viewpoints of 260 chief executive officers (CEOs) from the branches of 21 quality-certified banks, leveraging the Smart partial least squares technique.

Findings
INL had a positive and significant impact on INP. Total quality management (TQM) partially and significantly mediated the association between INL and INP. Technological turbulence, government regulation (GOV), market dynamism (MKD) and industry competitiveness (CMP) positively and significantly moderated the INL–TQM association.

Research limitations/implications
INP causal linkages and variations may be better understood with longitudinal investigations, hence the need for further studies in this area. External influences may affect industries or contexts differently, requiring further research into various industries.

Practical implications
In an industry with fast-paced and ever-changing industrial technology, strict government laws, a higher level of MKD and increased competition, firms must hire or groom innovative CEOs to promote the adoption of new and creative quality enhancement strategies that meet clients’ short- and long-term needs.

Originality/value
To the best of the authors’ knowledge, this paper is the first to show how TQM can serve as a pathway for innovative leaders to follow. It is an inaugural attempt to explain the specific environmental dynamics that are necessary for the INL–TQM association to thrive.
Foresight of environmental communication literatures: bibliometric versus ChatGPT
Authors: Norhayati Rafida Abdul Rahim , Norailis Ab Wahab 
Published: August 2024

Purpose
Environmental communication has been a profession and a subject of study for decades. Communication currently revolves around the anthropogenic ecological catastrophe, which makes the field’s early self-description as a crisis discipline even more pertinent. How communication is used and perceived significantly impacts how human-caused climate disasters and other environmental and social problems develop and how solutions are offered. The phenomenon of technology has shown significant impacts on how people refer to environmental communication. While bibliometric analysis (BA) helps understand the trends, ChatGPT can generate information related to environmental communication. How are they different from each other? What are the limitations? This study aims to identify the trends and limitations of BA and ChatGPT that are associated with environmental communication.

Design/methodology/approach
A qualitative approach is used, which refers to BA using the Biblioshiny software (n = 867) and content analysis on ChatGPT 3.5. It uses a systematic technique for keyword search, namely, environmental and communication, from 2000 to 2022.

Findings
There has been a decrease in the scientific production of studies starting in 2021 and 2022, which is believed to be due to the COVID-19 pandemic. ChatGPT provides valuable information but is rather complimentary to BA. ChatGPT is unable to provide statistical information related to environmental communication among Scopus-indexed publications.

Research limitations/implications
This study focuses on the literature published in Scopus from 2000 to 2022. The keyword is limited to “environmental” and “communication.” Besides, the choice of keywords made it specific to the studies involved in the BA, which may not include some other studies if the keywords are not listed.

Originality/value
The originality of the research focuses on the field of environmental communication, its evolution within previous literature and the comparison between BA and the use of ChatGPT for understanding trends and limitations within this field. The text touches upon various aspects, such as the historical context of environmental communication, the impact of technology, the trends in scientific production among Scopus journal papers and the limitations of using ChatGPT compared to BA.