bluuebunny/crossref_metadata_2025_split huggingface dataset:
Neuronal glutathione loss leads to neurodegeneration involving gasdermin activation
Authors: Hashimoto Shoko , Matsuba Yukio , Takahashi Mika , Kamano Naoko , Watamura Naoto , Sasaguri Hiroki , Takado Yuhei , Yoshihara Yoshihiro , Saito Takashi , Saido Takaomi C. 
Published: January 2023

AbstractAccumulating evidence suggests that glutathione loss is closely associated with the progression of neurodegenerative disorders. Here, we found that the neuronal conditional-knockout (KO) of glutamyl-cysteine-ligase catalytic-subunit (GCLC), a rate-limiting enzyme for glutathione synthesis, induced brain atrophy accompanied by neuronal loss and neuroinflammation. GCLC-KO mice showed activation of C1q, which triggers engulfment of neurons by microglia, and disease-associated-microglia (DAM), suggesting that activation of microglia is linked to the neuronal loss. Furthermore, gasdermins, which regulate inflammatory form of cell death, were upregulated in the brains of GCLC-KO mice, suggesting the contribution of pyroptosis to neuronal cell death in these animals. In particular, GSDME-deficiency significantly attenuated the hippocampal atrophy and changed levels of DAM markers in GCLC-KO mice. Finally, we found that the expression of GCLC was decreased around amyloid plaques in AppNL-G-F AD model mice. AppNL-G-F mouse also exhibited inflammatory events similar to GCLC-KO mouse. We propose a mechanism by which a vicious cycle of oxidative stress and neuroinflammation enhances neurodegenerative processes. Furthermore, GCLC-KO mouse will serve as a useful tool to investigate the molecular mechanisms underlying neurodegeneration and in the development of new treatment strategies to address neurodegenerative diseases.
Fluid–structure interaction simulation of visceral perfusion and impact of different cannulation methods on aortic dissection
Authors: Lee Gyu-Han , Heo Woon , Lee Youngjin , Kim Tae-Hoon , Huh Hyungkyu , Song Suk-Won , Ha Hojin 
Published: January 2023

AbstractHemodynamics in aortic dissection (AD) is closely associated with the risk of aortic aneurysm, rupture, and malperfusion. Altered blood flow in patients with AD can lead to severe complications such as visceral malperfusion. In this study, we aimed to investigate the effect of cannulation flow on hemodynamics in AD using a fluid–structure interaction simulation. We developed a specific-idealized AD model that included an intimal tear in the descending thoracic aorta, a re-entry tear in the left iliac artery, and nine branches. Two different cannulation methods were tested: (1) axillary cannulation (AC) only through the brachiocephalic trunk and (2) combined axillary and femoral cannulation (AFC) through the brachiocephalic trunk and the right common iliac artery. AC was found to result in the development of a pressure difference between the true lumen and false lumen, owing to the difference in the flow rate through each lumen. This pressure difference collapsed the true lumen, disturbing blood flow to the celiac and superior mesenteric arteries. However, in AFC, the pressure levels between the two lumens were similar, and no collapse occurred. Moreover, the visceral flow was higher than that in AC. Lastly, the stiffness of the intimal flap affected the true lumen's collapse.
Membrane vesicles released by Lacticaseibacillus casei BL23 inhibit the biofilm formation of Salmonella Enteritidis
Authors: da Silva Barreira David , Laurent Julie , Lourenço Jessica , Novion Ducassou Julia , Couté Yohann , Guzzo Jean , Rieu Aurélie 
Published: January 2023

AbstractBiofilms represent a major concern in the food industry and healthcare. The use of probiotic bacteria and their derivatives as an alternative to conventional treatments to fight biofilm development is a promising option that has provided convincing results in the last decades. Recently, membrane vesicles (MVs) produced by probiotics have generated considerable interest due to the diversity of roles they have been associated with. However, the antimicrobial activity of probiotic MVs remains to be studied. In this work, we showed that membrane vesicles produced by Lacticaseibacillus casei BL23 (LC-MVs) exhibited strong antibiofilm activity against Salmonella enterica serovar Enteritidis (S. Enteritidis) without affecting bacterial growth. Furthermore, we found that LC-MVs affected the early stages of S. Enteritidis biofilm development and prevented attachment of bacteria to polystyrene surfaces. Importantly, LC-MVs did not impact the biomass of already established biofilms. We also demonstrated that the antibiofilm activity depended on the proteins associated with the LC-MV fraction. Finally, two peptidoglycan hydrolases (PGHs) were found to be associated with the antibiofilm activity of LC-MVs. Overall, this work allowed to identify the antibiofilm properties of LC-MVs and paved the way for the use of probiotic MVs against the development of negative biofilms.
Human osteoarthritis knee joint synovial fluids cleave and activate Proteinase-Activated Receptor (PAR) mediated signaling
Authors: Chandrabalan Arundhasa , Firth Andrew , Litchfield Robert B. , Appleton C. Thomas , Getgood Alan , Ramachandran Rithwik 
Published: January 2023

AbstractOsteoarthritis (OA) is the most prevalent joint disorder with increasing worldwide incidence. Mechanistic insights into OA pathophysiology are evolving and there are currently no disease-modifying OA drugs. An increase in protease activity is linked to progressive degradation of the cartilage in OA. Proteases also trigger inflammation through a family of G protein-coupled receptors (GPCRs) called the Proteinase-Activated Receptors (PARs). PAR signaling can trigger pro-inflammatory responses and targeting PARs is proposed as a therapeutic approach in OA. Several enzymes can cleave the PAR N-terminus, but the endogenous protease activators of PARs in OA remain unclear. Here we characterized PAR activating enzymes in knee joint synovial fluids from OA patients and healthy donors using genetically encoded PAR biosensor expressing cells. Calcium signaling assays were performed to examine receptor activation. The class and type of enzymes cleaving the PARs was further characterized using protease inhibitors and fluorogenic substrates. We find that PAR1, PAR2 and PAR4 activating enzymes are present in knee joint synovial fluids from healthy controls and OA patients. Compared to healthy controls, PAR1 activating enzymes are elevated in OA synovial fluids while PAR4 activating enzyme levels are decreased. Using enzyme class and type selective inhibitors and fluorogenic substrates we find that multiple PAR activating enzymes are present in OA joint fluids and identify serine proteinases (thrombin and trypsin-like) and matrix metalloproteinases as the major classes of PAR activating enzymes in the OA synovial fluids. Synovial fluid driven increase in calcium signaling was significantly reduced in cells treated with PAR1 and PAR2 antagonists, but not in PAR4 antagonist treated cells. OA associated elevation of PAR1 cleavage suggests that targeting this receptor may be beneficial in the treatment of OA.
Intense vortical-field generation using coherent superposition of multiple vortex beams
Authors: Guo Xinju , Zhang Xiaomei , Xu Dirui , Chen Weixin , Guo Yi , Lan Ke , Shen Baifei 
Published: January 2023

AbstractCoherent beam combining technology applied to multiple vortex beams is a promising method to generate high-power vortex beams. We utilize the coherent combination of multiple Laguerre-Gaussian beams at the waist plane and propose theoretically a practical generation system for a high-power beam carrying orbital angular momentum by considering oblique incidence. The results demonstrate that the orbital angular momentum distribution of the combined field is similar to that of a single Laguerre-Gaussian beam within the Rayleigh length. Moreover, the combined field has relativistic intensity local spots that exhibit stable spatial propagation. The proposed system may potentially be applied to intense vortical fields, large scale nuclear fusion device, such as suppressing stimulated Raman scattering and filamentation when a laser beam propagates in plasma.
Efficient dynamic channel assignment through laser chaos: a multiuser parallel processing learning algorithm
Authors: Chen Zengjing , Wang Lu , Xing Chengzhi 
Published: January 2023

AbstractAs laser chaos has been proven to be a robust tool to solve the multi-armed bandit (MAB) problem, this study investigates the problem of multiuser dynamic channel assignment using laser chaos in cognitive radio networks with K-orthogonal channels and M secondary users. A novel dynamic channel assignment algorithm with laser chaos series for multiple users, named parallel processing learning with laser chaos (PPL-LC) algorithm, is proposed to efficiently address two main objectives: stable channel assignment and fuzzy stable channel assignment. The latter objective accounts for the realistic scenario where users have fuzzy preferences and do not necessarily pursue the best preference. The PPL-LC algorithm uses the randomness properties of laser chaos to learn the assignment of channels to multiple users without any limitations on the number of channels, which has not been considered in existing laser chaos algorithms. Moreover, the PPL-LC is equipped with parallel processing channel selections, resulting in higher throughput and stronger adaptability with environmental changes over time than comparison algorithms, such as distributed stable strategy learning and coordinated stable marriage MAB algorithms. Finally, numerical examples are presented to demonstrate the performance of the PPL-LC algorithm.
Alpine-ice record of bismuth pollution implies a major role of military use during World War II
Authors: Legrand Michel , McConnell Joseph R. , Bergametti Gilles , Preunkert Susanne , Chellman Nathan , Desboeufs Karine , Lestel Laurence , Plach Andreas , Stohl Andreas 
Published: January 2023

AbstractMilitary conflicts result in local environmental damage, but documenting regional and larger scale impacts such as heavy metal pollution has proven elusive. Anthropogenic emissions of bismuth (Bi) include coal burning and various commodity productions but no emission estimates over the past century exist. Here we used Bi measurements in ice cores from the French Alps to show evidence of regional-scale Bi pollution concurrent with the Spanish Civil War and World War II. Tracers of the main sources of Bi emissions measured in the same ice—coal-burning, steel- and aluminum-industry, alloy and other metal processing—indicate a major, previously undocumented additional emissions source that we attribute to military activities between 1935 and 1945 Common Era (CE) in western Europe. These include the use of bismuth for low-melting point alloys for shells, thin-walled aluminum alloy aircraft oil, and munitions.
Deep learning can yield clinically useful right ventricular segmentations faster than fully manual analysis
Authors: Åkesson Julius , Ostenfeld Ellen , Carlsson Marcus , Arheden Håkan , Heiberg Einar 
Published: January 2023

AbstractRight ventricular (RV) volumes are commonly obtained through time-consuming manual delineations of cardiac magnetic resonance (CMR) images. Deep learning-based methods can generate RV delineations, but few studies have assessed their ability to accelerate clinical practice. Therefore, we aimed to develop a clinical pipeline for deep learning-based RV delineations and validate its ability to reduce the manual delineation time. Quality-controlled delineations in short-axis CMR scans from 1114 subjects were used for development. Time reduction was assessed by two observers using 50 additional clinical scans. Automated delineations were subjectively rated as (A) sufficient for clinical use, or as needing (B) minor or (C) major corrections. Times were measured for manual corrections of delineations rated as B or C, and for fully manual delineations on all 50 scans. Fifty-eight % of automated delineations were rated as A, 42% as B, and none as C. The average time was 6 min for a fully manual delineation, 2 s for an automated delineation, and 2 min for a minor correction, yielding a time reduction of 87%. The deep learning-based pipeline could substantially reduce the time needed to manually obtain clinically applicable delineations, indicating ability to yield right ventricular assessments faster than fully manual analysis in clinical practice. However, these results may not generalize to clinics using other RV delineation guidelines.
A data driven approach to mineral chemistry unveils magmatic processes associated with long-lasting, low-intensity volcanic activity
Authors: Costa Simone , Caricchi Luca , Pistolesi Marco , Gioncada Anna , Masotta Matteo , Bonadonna Costanza , Rosi Mauro 
Published: January 2023

AbstractThe most frequent volcanic eruptions are of low-intensity and small magnitude. They produce abundant ash-sized (< 2 mm) clasts, which are too small to establish quantitative links between magmatic processes and eruptive dynamics using classic approaches. This inhibits our ability to study the past behaviour of frequently erupting volcanoes, essential to predict their future activity and mitigate their impact. The Palizzi unit (10–13th century, Vulcano, Italy) includes a prototype sequence of ash deposits resulting from prolonged Vulcanian eruptions punctuated by those of two larger sub-Plinian events. We apply Hierarchical Clustering to chemical analyses of clinopyroxene collected along the stratigraphy to decipher magma dynamics during this eruptive period. We identify periods of magma input and we link deep magmatic processes to eruptive dynamics, also showing that our approach can be used to connect magma and eruptive dynamics in any volcanic sequence. This is essential to track the processes occurring during frequent eruptions and to identify the build-up to larger explosive events.
The characteristics and impact of small and medium forest enterprises on sustainable forest management in Ghana
Authors: Anane Stephen , Kombiok Emmanuel , Afrifa Alexander Baffour 
Published: January 2023

AbstractSmall and Medium Forest Enterprises are considered promoters of local development and growth due to their contributions to over 50% of forest-based employment in some countries like Brazil, Uganda, and India. Despite the many potentials of these enterprises, their operations go unchecked, which poses a serious threat to the sustainability of tropical forests. This study highlights the characteristics of SMFEs and the impact of SMFEs on sustainable forest management in Ghana from a survey of 80 randomly sampled enterprises in seven communities in the Amenfi West Municipality in Ghana. Data was gathered using structured questionnaires and key informant interviews and analyzed with statistical tools in SPSS version 25. The findings show that 71.25% of the SMFEs are not registered with the appropriate authorities like the Registrar General’s department and the Municipal Assemblies. In addition, 55 (68.8%) of these enterprises have a direct dependency on the forest for raw materials with 21.8% of this number claiming to have obtained the needed permits/licenses to harvest the raw materials they need from the forests. For 91.25% of the enterprises, factors such as resource availability and profits drive their activities and 8.75% are driven by access to labor and job creation. The analysis showed that belonging to an association is a significant determinant of business registration at p = 0.001. Forest policies must seek to promote sustainable management of forest resources by enforcing registration and permit laws. SMFEs must be consistently monitored and supervised to ensure that their activities are guided by policy and their compliance rewarded through capacity building and government support.
A proteome scale study reveals how plastic surfaces and agitation promote protein aggregation
Authors: Schvartz Marion , Saudrais Florent , Devineau Stéphanie , Aude Jean-Christophe , Chédin Stéphane , Henry Céline , Millán-Oropeza Aarón , Perrault Thomas , Pieri Laura , Pin Serge , Boulard Yves , Brotons Guillaume , Renault Jean-Philippe 
Published: January 2023

AbstractProtein aggregation in biotherapeutics can reduce their activity and effectiveness. It may also promote immune reactions responsible for severe adverse effects. The impact of plastic materials on protein destabilization is not totally understood. Here, we propose to deconvolve the effects of material surface, air/liquid interface, and agitation to decipher their respective role in protein destabilization and aggregation. We analyzed the effect of polypropylene, TEFLON, glass and LOBIND surfaces on the stability of purified proteins (bovine serum albumin, hemoglobin and α-synuclein) and on a cell extract composed of 6000 soluble proteins during agitation (P = 0.1–1.2 W/kg). Proteomic analysis revealed that chaperonins, intrinsically disordered proteins and ribosomes were more sensitive to the combined effects of material surfaces and agitation while small metabolic oligomers could be protected in the same conditions. Protein loss observations coupled to Raman microscopy, dynamic light scattering and proteomic allowed us to propose a mechanistic model of protein destabilization by plastics. Our results suggest that protein loss is not primarily due to the nucleation of small aggregates in solution, but to the destabilization of proteins exposed to material surfaces and their subsequent aggregation at the sheared air/liquid interface, an effect that cannot be prevented by using LOBIND tubes. A guidance can be established on how to minimize these adverse effects. Remove one of the components of this combined stress - material, air (even partially), or agitation - and proteins will be preserved.
Outcome predictors in anterior and posterior ischemic strokes: a study based on the Iranian SITS registry
Authors: Jalali Nazanin , Sadeghi Hokmabadi Elyar , Ghoreishi Abdoreza , Sariaslan Payam , Rafie Shahram , Borhani-Haghighi Afshin , Moghadam Ahmadi Amir , Azin Hossein , Vakilian Alireza , Khalili Parvin , Farhoudi Mehdi 
Published: January 2023

AbstractIschemic stroke is the major form of stroke with two separate vascular territories. Many risk factors are related to stroke outcomes in both territories. The present descriptive research was carried out on the basis of data obtained from the Safe Implementation of Treatments in Stroke (SITS) registry on Iranian intravenous thrombolysis ischemic stroke cases. Vascular territory involved in each case and three-month excellent outcome, functional independence, mortality rate, and brain hemorrhage occurrence were determined. Univariable and multivariable logistics regression analyses were utilized in order to investigate association of ischemic stroke outcomes with the vascular territory involved and other related factors. Among 1566 patients 95.4% was anterior circulation stroke patients and 4.6% was posterior circulation stroke cases. There is no significant association between vascular territory with mortality (OR of PCS vs ACS: 0.74, 95% CI 0.37–1.46), excellent functional outcome (OR 0.72, 95% CI 0.44–1.19), functional outcome (OR 0.86, 95% CI 0.52–1.42) and local hemorrhage (OR 0.98, 95% CI 0.30–3.21). Among major risk factors, age, diabetes, NIHSS score and admission duration, increased significantly odds of three-month mortality, excellent outcome, and functional independence in the multivariate analysis. The highest of odds was in NIHSS score with a dose–response association. The vascular territory was not an outcome predictor in ischemic strokes. The most important predictor was baseline NIHSS.
Substrate stiffness controls proinflammatory responses in human gingival fibroblasts
Authors: Tiskratok Watcharaphol , Yamada Masahiro , Watanabe Jun , Kartikasari Nadia , Kimura Tsuyoshi , Egusa Hiroshi 
Published: January 2023

AbstractSoft gingiva is often compromised in gingival health; however, the underlying biological mechanisms remain unknown. Extracellular matrix (ECM) stiffness is involved in the progression of various fibroblast-related inflammatory disorders via cellular mechanotransduction. Gingival stiffness might regulate cellular mechanotransduction-mediated proinflammatory responses in gingival fibroblasts. This in vitro study aims to investigate the effects of substrate stiffness on proinflammatory responses in human gingival fibroblasts (hGFs). The hGFs isolated from two healthy donors cultured on type I collagen-coated polydimethylsiloxane substrates with different stiffnesses, representing soft (5 kPa) or hard (25 kPa) gingiva. Expression levels of proinflammatory mediators, prostaglandin E2 or interleukin-1β, in hGFs were significantly higher with the soft substrate than with the hard substrate, even without and with lipopolysaccharide (LPS) to induce inflammation. Expression levels of gingival ECM and collagen cross-linking agents in hGFs were downregulated more with the soft substrate than with the hard substrate through 14 days of culture. The soft substrate suppressed the expression of mechanotransduction-related transcriptional factors and activated the expression of inflammation-related factors, whereas the hard substrate demonstrated the opposite effects. Soft substrate induced proinflammatory responses and inhibition of ECM synthesis in hGFs by inactivating cellular mechanotransduction. This supports the importance of ECM stiffness in gingival health.
Moving suicide prevention upstream by understanding the effect of flourishing on suicidal ideation in midlife: an instrumental variable approach
Authors: Xiao Yunyu , Brown Timothy T. 
Published: January 2023

AbstractPrior research has examined the association between flourishing and suicidal ideation, but it is unknown whether this association is causal. Understanding the causality between flourishing and suicidal ideation is important for clinicians and policymakers to determine the value of innovative suicide prevention programs by improving flourishing in at-risk groups. Using a linked nationwide longitudinal sample of 1619 middle-aged adults (mean age 53, 53% female, 88% White) from the National Survey of Midlife Development in the United States (MIDUS), this retrospective cohort study aims to assess the causal relationship between flourishing and suicidal ideation among middle-aged adults in the US. Flourishing is a theory-informed 13-scale index covering three domains: emotional, psychological, and social well-being. Suicidal ideation was self-reported in a follow-up interview conducted after measuring flourishing. We estimated instrumental variable models to examine the potential causal relationship between flourishing and suicidal ideation. High-level flourishing (binary) was reported by 486 (30.0%) individuals, and was associated with an 18.6% reduction in any suicidal ideation (binary) (95% CI, − 29.3– − 8.0). Using alternative measures, a one standard deviation increase in flourishing (z-score) was associated with a 0.518 (95% CI, 0.069, 0.968) standard deviation decrease in suicidal ideation (z-score). Our results suggest that prevention programs that increase flourishing in midlife should result in meaningful reductions in suicide risk. Strengthening population-level collaboration between policymakers, clinical practitioners, and non-medical partners to promote flourishing can support our collective ability to reduce suicide risks across social, economic, and other structural circumstances.