bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancing enzymatic saccharification yields of cellulose at high solid loadings by combining different LPMO activities
Authors: Angeltveit Camilla F. , Várnai Anikó , Eijsink Vincent G. H. , Horn Svein J. 
Published: March 2024

Abstract
Background
The polysaccharides in lignocellulosic biomass hold potential for production of biofuels and biochemicals. However, achieving efficient conversion of this resource into fermentable sugars faces challenges, especially when operating at industrially relevant high solid loadings. While it is clear that combining classical hydrolytic enzymes and lytic polysaccharide monooxygenases (LPMOs) is necessary to achieve high saccharification yields, exactly how these enzymes synergize at high solid loadings remains unclear.

Results
An LPMO-poor cellulase cocktail, Celluclast 1.5 L, was spiked with one or both of two fungal LPMOs from Thermothielavioides terrestris and Thermoascus aurantiacus, TtAA9E and TaAA9A, respectively, to assess their impact on cellulose saccharification efficiency at high dry matter loading, using Avicel and steam-exploded wheat straw as substrates. The results demonstrate that LPMOs can mitigate the reduction in saccharification efficiency associated with high dry matter contents. The positive effect of LPMO inclusion depends on the type of feedstock and the type of LPMO and increases with the increasing dry matter content and reaction time. Furthermore, our results show that chelating free copper, which may leak out of the active site of inactivated LPMOs during saccharification, with EDTA prevents side reactions with in situ generated H2O2 and the reductant (ascorbic acid).

Conclusions
This study shows that sustaining LPMO activity is vital for efficient cellulose solubilization at high substrate loadings. LPMO cleavage of cellulose at high dry matter loadings results in new chain ends and thus increased water accessibility leading to decrystallization of the substrate, all factors making the substrate more accessible to cellulase action. Additionally, this work highlights the importance of preventing LPMO inactivation and its potential detrimental impact on all enzymes in the reaction.
Quality assessment of malaria microscopic diagnosis at the Aristide Le Dantec University Hospital of Dakar, Senegal, in 2020
Authors: Garba Mamane N. , Dème Awa B. , Diongue Khadim , Diédhiou Younousse , Mbaye Amadou M. , Dia NDèye M. , Seck N’Dèye A. , Zoumarou Daba , Ndiaye Lamine , Yade Mamadou S. , Dièye Baba , Sène Aita , Tine Abdoulaye , Touré Mariama , Gadiaga Nogaye , Fall Awa , Ngom Bassirou , Sow Djiby , Ndiaye Aliou , Keita Astou , Ndiaye Mame F. , Gomis Jules F. , Diop Nana F. , Diallo Guète , Ndiaye Ibrahima M. , Ba Elhadj M. , Bitèye Omar , Ndiaye Cheikh , Mbodji Fama S. D. , Ndiaye Pape O. , Ndiaye Tolla , Gaye Amy , Sy Mouhamad , Ndiaye Yaye D. , Seck Mame C. , Ndiaye Mouhamadou , Badiane Aida S. , Diallo Mamadou A. , Ndiaye Daouda 
Published: March 2024

Abstract
Background
Following WHO guidelines, microscopy is the gold standard for malaria diagnosis in endemic countries. The Parasitology-Mycology laboratory (LPM) is the National Reference Laboratory and is currently undergoing ISO 15189 accreditation. In this context, we assessed the performance of the laboratory by confirming the reliability and the accuracy of results obtained in accordance with the requirements of the ISO 15189 standards. This study aimed to verify the method of microscopic diagnosis of malaria at the LPM, in the Aristide Le Dantec hospital (HALD) in Dakar, Senegal.

Methods
This is a validation/verification study conducted from June to August 2020. Twenty (20) microscopic slides of thick/thin blood smear with known parasite densities (PD) selected from the Cheick Anta Diop University malaria slide bank in Dakar were used for this assessment. Six (6) were used to assess microscopists’ ability to determine PD and fourteen (14) slides were used for detection (positive vs negative) and identification of parasites. Four (4) LPM-HALD microscopists read and recorded their results on prepared sheets. Data analysis was done with Microsoft Excel 2010 software.

Results
A minimum threshold of 50% concordance was used for comparison. Of the twenty (20) slides read, 100% concordance was obtained on eight (8) detection (positive vs negative) slides. Four (4) out of the six (6) parasite density evaluation slides obtained a concordance of less than 50%. Thirteen (13) out of the fourteen (14) identification slides obtained a concordance greater than 50%. Only one (1) identification slide obtained zero agreement from the microscopists. For species identification a concordance greater than 80% was noted and the microscopists obtained scores between 0.20 and 0.4 on a scale of 0 to 1 for parasite density reading. The microscopists obtained 100% precision, sensitivity, specificity and both negative and positive predictive values.

Conclusion
This work demonstrated that the microscopic method of malaria diagnosis used in the LPM/HALD is in accordance with the requirements of WHO and ISO 15189. Further training of microscopists may be needed to maintain competency.
Prediction of conversion from mild cognitive impairment to Alzheimer’s disease and simultaneous feature selection and grouping using Medicaid claim data
Authors: Zhang Qi , Coury Ron , Tang Wenlong 
Published: March 2024

AbstractBackgroundDue to the heterogeneity among patients with Mild Cognitive Impairment (MCI), it is critical to predict their risk of converting to Alzheimer’s disease (AD) early using routinely collected real-world data such as the electronic health record data or administrative claim data.MethodsThe study used MarketScan Multi-State Medicaid data to construct a cohort of MCI patients. Logistic regression with tree-guided lasso regularization (TGL) was proposed to select important features and predict the risk of converting to AD. A subsampling-based technique was used to extract robust groups of predictive features. Predictive models including logistic regression, generalized random forest, and artificial neural network were trained using the extracted features.ResultsThe proposed TGL workflow selected feature groups that were robust, highly interpretable, and consistent with existing literature. The predictive models using TGL selected features demonstrated higher prediction accuracy than the models using all features or features selected using other methods.ConclusionsThe identified feature groups provide insights into the progression from MCI to AD and can potentially improve risk prediction in clinical practice and trial recruitment.
Primary extraskeletal intradural Ewing sarcoma with acute hemorrhage: a case report and review of the literature
Authors: Salama HusamEddin , Abu-Hilal Lila H. , Idkedek Mayar , Kharousha Abdalwahab , Abulihya Mohand , Nimer Hafez 
Published: March 2024

Abstract
Background
Spinal cord tumors present a challenge in diagnosis and treatment due to their varied histopathological characteristics. While Ewing sarcoma is a rare malignant tumor typically originating from skeletal bone, cases of primary intradural extraskeletal Ewing sarcoma are exceptionally rare. The similarity of its presentation to other spinal tumors further complicates its identification and management.

Case presentation
We report a case of a 58-year-old Palestinian male with intradural extraskeletal lumbar Ewing sarcoma. The patient initially presented with lower back pain and bilateral S1 radiculopathy, with more severe symptoms on the left side. Magnetic resonance imaging revealed a 7 cm oval-shaped mass with homogeneous contrast enhancement, obstructing the spinal canal from L3/L4 to L5/S1 levels. Initially, a myxopapillary ependymoma was suspected, but the patient’s sensory and motor functions suddenly deteriorated during hospitalization. Repeat magnetic resonance imaging indicated heterogeneous contrast enhancement, indicating acute intratumoral hemorrhage. Consequently, the patient underwent emergent L3–L5 laminotomy, with successful gross total resection of the tumor. Histopathological and immunohistochemical analyses confirmed the diagnosis of intradural extraskeletal Ewing sarcoma. Adjuvant therapy was administered to minimize the risk of local recurrence or distant metastasis. A systematic review of relevant literature, along with retrospective analysis of medical records, operative reports, radiological studies, and histopathological findings of similar cases, was also conducted.

Conclusions
Intradural extraskeletal Ewing sarcoma is an infrequently encountered condition in adult patients, emphasizing the importance of considering it in the differential diagnosis of spinal tumors. Surgeons must possess a comprehensive understanding of this rare entity to ensure accurate staging and optimal management, particularly in the early stages when prompt intervention may improve prognosis.
Single-cell transcriptome reveals a novel mechanism of C-Kit+-liver sinusoidal endothelial cells in NASH
Authors: Li Hui-Yi , Gao Yu-Xuan , Wu Jun-Cheng , Li Jing-Ze , Fu Seng-Wang , Xu Ming-Yi 
Published: March 2024

Abstract
Aim
To understand how liver sinusoidal endothelial cells (LSECs) respond to nonalcoholic steatohepatitis (NASH).

Methods
We profiled single-LSEC from livers of control and MCD-fed mice. The functions of C-Kit+-LSECs were determined using coculture and bone marrow transplantation (BMT) methods.

Results
Three special clusters of single-LSEC were differentiated. C-Kit+-LSECs of cluster 0, Msr1+-LSECs of cluster 1 and Bmp4+Selp+-VECs of cluster 2 were revealed, and these cells with diverse ectopic expressions of genes participated in regulation of endothelial, fibrosis and lipid metabolism in NASH. The number of C-Kit+-primary LSECs isolated from MCD mice was lower than control mice. Immunofluorescence co-staining of CD31 and C-KIT showed C-Kit+-LSECs located in hepatic sinusoid were also reduced in NASH patients and MCD mice, compared to AIH patients and control mice respectively. Interestingly, lipotoxic hepatocytes/HSCs cocultured with C-Kit+-LSECs or the livers of MCD mice receipting of C-Kit+-BMCs (bone marrow cells) showed less steatosis, inflammation and fibrosis, higher expression of prolipolytic FXR and PPAR-α, lower expression of TNF-α and α-SMA. Furthermore, coculturing or BMT of C-Kit+-endothelial derived cells could increase the levels of hepatic mitochondrial LC3B, decrease the degree of mitochondrial damage and ROS production through activating Pink1-mediated mitophagy pathway in NASH.

Conclusions
Hence, a novel transcriptomic view of LSECs was revealed to have heterogeneity and complexity in NASH. Importantly, a cluster of C-Kit+-LSECs was confirmed to recovery Pink1-related mitophagy and NASH progression.
Sudden cardiac death among workers: a systematic review and meta-analysis
Authors: Amantea Carlotta , Pilia Enrico , Rossi Maria Francesca , Corona Valerio Flavio , Amato Giuseppe , Ciccu Corrado , Gavi Filippo , Santoro Paolo Emilio , Borrelli Ivan , Ricciardi Walter , Gualano Maria Rosaria , Moscato Umberto 
Published: March 2024

Abstract
Objective
Sudden cardiac death (SCD) is a rare and yet unexplained condition. The most frequent cause is myocardial infarction, while a small proportion is due to arrhythmogenic syndromes (e.g., channelopathies). This systematic review and meta-analysis aimed to provide a comprehensive overview of the prevalence and risk factors associated with SCD in workers.

Material and methods
A search for eligible studies was performed utilizing three databases (PubMed, ISI Web of Knowledge, and Scopus). The inclusion criteria were fulfilled if sudden cardiac death due to channelopathy in workers was mentioned.

Results
Out of the 1408 articles found across three databases, 6 articles were included in the systematic review but the meta-analysis was conducted on 3 studies The total sample included was 23,450 participants. The pooled prevalence of channelopathies in employees was 0.3% (95% CI 0.07–0.43%), of sudden cardiac death in employees was 2.8% (95% CI 0.37–5.20%), and of sudden cardiac death in employees with a diagnosis of cardiac channelopathies was 0.2% (95% CI 0.02– 0.30%).

Conclusions
SCD is a serious and potentially preventable condition that can occur among workers. By identifying and addressing work-related risk factors, providing appropriate screening and interventions, and promoting healthy lifestyle behaviors, we can work to reduce the incidence of SCD and improve the cardiovascular health and well-being of workers.
Exploring the binding interactions of NOP receptor with designed natural phytochemical-neuropeptide conjugates: an in silico and SPR study
Authors: Murray Molly E. , Goncalves Beatriz G. , Biggs Mary A. , Frantzeskos Sophia A. , Lebedenko Charlotta G. , Banerjee Ipsita A. 
Published: March 2024

AbstractThe Nociceptin/orphanin FQ peptide (NOP) receptor is considered a member of the opioid receptor subfamily of G-protein coupled receptors (GPCRs) which has been shown to be present in many parts of the central nervous system (CNS). It plays biologically diverse roles in pain modulation, immune response and in neurodegenerative diseases. In this work, phytochemical conjugates of two known neuropeptides, melanocyte inhibition factor (MiF-1) and mammalian amidated neuropeptide NPFF with pain modulating ability were developed. The binding interactions of those conjugates with NOP receptor was examined as an approach to develop novel natural compounds that can modulate NOP receptor activity. The selected phytochemicals are well-known for their antioxidant abilities and are derived either from natural alkaloids (betanin), polyphenols (gallic acid and sinapic acid) or terpenes (pomolic acid). Each of the phytochemicals selected are antioxidants which may play a role in mitigating diseases. Three conjugates of betanin were designed with each peptide by conjugating each of the three carboxylic acid groups of betanin with the peptides, while all others were mono-conjugates. Our results indicated that the betanin conjugates with both peptides showed strong binding interactions while the pomolate-peptide conjugates showed moderate binding. In general, NPFF and its conjugates showed stronger binding with the receptor. Docking and molecular dynamics studies revealed that binding interactions occurred at the binding pocket encompassing the transmembrane helices TM1, TM3 and TM7 in most cases, with the ligands binding deep within the hydrophobic core. The binding interactions were further confirmed experimentally through SPR analysis, which also showed higher binding with the betanin conjugates. MMGBSA studies indicated that the binding energies of MiF-1 conjugates were higher compared to neat MiF-1. However, in the case of NPFF, while the betanin conjugates showed enhancement, in some cases the binding energies were found to be slightly reduced compared to neat NPFF. Overall our studies reveal that such natural phytochemical derivatives that can bind to the NOP receptor when conjugated to the mammalian amidated neuropeptide NPFF and the short sequence of melanocyte inhibiting factor MiF-1 may be potentially developed for further laboratory studies for potential pharmaceutical applications.
Interindividual differences in aronia juice tolerability linked to gut microbiome and metabolome changes—secondary analysis of a randomized placebo-controlled parallel intervention trial
Authors: Lackner Sonja , Mahnert Alexander , Moissl-Eichinger Christine , Madl Tobias , Habisch Hansjörg , Meier-Allard Nathalie , Kumpitsch Christina , Lahousen Theresa , Kohlhammer-Dohr Alexandra , Mörkl Sabrina , Strobl Herbert , Holasek Sandra 
Published: March 2024

Abstract
Background
Aronia melanocarpa is a berry rich in polyphenols known for health benefits. However, the bioavailability of polyphenols has been questioned, and the individual taste acceptance of the fruit with its specific flavor varies. We recently observed substantial differences in the tolerability of aronia juice among healthy females, with half of the individuals tolerating aronia juice without complaints. Given the importance of the gut microbiome in food digestion, we investigated in this secondary analysis of the randomized placebo-controlled parallel intervention study (ClinicalTrials.gov registration: NCT05432362) if aronia juice tolerability was associated with changes in intestinal microbiota and bacterial metabolites, seeking for potential mechanistic insights into the impact on aronia polyphenol tolerance and metabolic outcomes.

Results
Forty females were enrolled for this 6-week trial, receiving either 100 ml natural aronia juice (verum, V) twice daily or a polyphenol-free placebo (P) with a similar nutritional profile, followed by a 6-week washout. Within V, individuals were categorized into those who tolerated the juice well (Vt) or reported complaints (Vc). The gut microbiome diversity, as analyzed by 16S rRNA gene-based next-generation sequencing, remained unaltered in Vc but changed significantly in Vt. A MICOM-based flux balance analysis revealed pronounced differences in the 40 most predictive metabolites post-intervention. In Vc carbon-dioxide, ammonium and nine O-glycans were predicted due to a shift in microbial composition, while in Vt six bile acids were the most likely microbiota-derived metabolites. NMR metabolomics of plasma confirmed increased lipoprotein subclasses (LDL, VLDL) post-intervention, reverting after wash out. Stool samples maintained a stable metabolic profile.

Conclusion
In linking aronia polyphenol tolerance to gut microbiota-derived metabolites, our study explores adaptive processes affecting lipoprotein profiles during high polyphenol ingestion in Vt and examines effects on mucosal gut health in response to intolerance to high polyphenol intake in Vc. Our results underpin the importance of individualized hormetic dosing for beneficial polyphenol effects, demonstrate dynamic gut microbiome responses to aronia juice, and emphasize personalized responses in polyphenol interventions.

Graphical Abstract
Prevention of suicidal behavior with lithium treatment in patients with recurrent mood disorders
Authors: Tondo Leonardo , Baldessarini Ross J. 
Published: March 2024

AbstractSuicidal behavior is more prevalent in bipolar disorders than in other psychiatric illnesses. In the last thirty years evidence has emerged to indicate that long-term treatment of bipolar disorder patients with lithium may reduce risk of suicide and attempts, with possibly similar benefits in recurrent major depressive disorder. We review and update selected research literature on effects of lithium treatment in reducing suicidal behavior and consider proposals that higher levels of lithium in drinking water may be associated with lower suicide rates. We summarize results of a growing number of randomized, controlled studies of lithium treatment for suicide prevention including comparisons with placebos or alternative treatments, and comment on the severe challenges of such trials. The basis of a proposed protective effect of lithium against suicidal behaviors remains uncertain but may include protective effects against recurrences of depressive phases of mood disorders, especially with mixed features or agitation, and possibly through beneficial effects on impulsivity, agitation and dysphoric mood.
How is trauma-focused therapy experienced by adults with PTSD? A systematic review of qualitative studies
Authors: Gjerstad Solveig Flem , Nordin Linda , Poulsen Stig , Spadaro Erminio Francesco Antares , Palic Sabina 
Published: March 2024

Abstract
Background
Trauma-focused therapies (TFTs) are first-line treatments for posttraumatic stress disorder (PTSD). However, TFTs are under-utilised, partly due to clinicians’ and patients' fear that TFT is too challenging or harmful. We review the qualitative studies on how adults with PTSD experience TFTs to enhance the understanding of user perspectives, therapeutic processes, and outcomes.

Methods
PubMed, PsychINFO and PTSDPubs were searched between October 1st and November 30th, 2021. Study quality assessments were undertaken, and studies were analysed using a descriptive-interpretative approach. Nine studies were included.

Results
The analysis resulted in the identification of four key domains, representing a temporal sequence of TFT stages: Overcoming ambivalence towards TFT, Experience of treatment elements, Motivation for dropout/retention, and Perceived changes post-treatment.

Conclusion
Although many participants reported high levels of distress and considered dropping out, only a minority did eventually drop out and most patients expressed that the hardships in therapy were necessary for PTSD improvement. Establishing a safe therapeutic environment and working with the ambivalence towards treatment was essential for retention. This review serves a dual purpose, to shed light on diverse TFT experiences found to be important for treatment satisfaction, and to elucidate common treatment patterns. The results can be used in preparing patients for therapy and in training TFT therapists. Studies had moderate to high quality, and more studies of experiences of TFT non-responders and dropouts in a non-veteran population are needed to further our understanding of the utility and limitations of TFTs.
ORTEGA v1.0: an open-source Python package for context-aware interaction analysis using movement data
Authors: Su Rongxiang , Liu Yifei , Dodge Somayeh 
Published: March 2024

Abstract
Background
Interaction analysis via movement in space and time contributes to understanding social relationships among individuals and their dynamics in ecological systems. While there is an exciting growth in research in computational methods for interaction analysis using movement data, there remain challenges regarding reproducibility and replicability of the existing approaches. The current movement interaction analysis tools are often less accessible or tested for broader use in ecological research.

Results
To address these challenges, this paper presents ORTEGA, an Object-oRiented TimE-Geographic Analytical tool, as an open-source Python package for analyzing potential interactions between pairs of moving entities based on the observation of their movement. ORTEGA is developed based on one of the newly emerged time-geographic approaches for quantifying space-time interaction patterns among animals. A case study is presented to demonstrate and evaluate the functionalities of ORTEGA in tracing dynamic interaction patterns in animal movement data. Besides making the analytical code and data freely available to the community, the developed package also offers an extension of the existing theoretical development of ORTEGA for incorporating a context-aware ability to inform interaction analysis.

Conclusions
ORTEGA contributes two significant capabilities: (1) the functions to identify potential interactions (e.g., encounters, concurrent interactions, delayed interactions) from movement data of two or more entities using a time-geographic-based approach; and (2) the capacity to compute attributes of potential interaction events including start time, end time, interaction duration, and difference in movement parameters such as speed and moving direction, and also contextualize the identified potential interaction events.