bluuebunny/crossref_metadata_2025_split huggingface dataset:
Abnormal circadian rhythms and neutrophil extracellular trap-associated cell death play a role in skin cancer caused by long-term blue light irradiation
Authors: Hiramoto Keiichi , Kubo Sayaka , Tsuji Keiko , Sugiyama Daijiro , Hamano Hideo 
Published: February 2024

Abstract

Humans are exposed to large amounts of blue light from computers and smartphones. To date, no treatment has been developed for ameliorating nonmelanoma skin cancer induced by exposure to blue light. Here, we investigated the effects of tranexamic acid, carbazochrome, diisopropylamine dichloroacetate, and pantethine on blue light-induced skin cancer. The dorsal skin of male hairless mice was exposed to 40 kJ/m2 blue light thrice a week for 15 weeks after the application of 7,12-dimethylbenz[a]anthracene (DMBA). During the experimental period, mice were administered four types of test samples thrice a week. Skin cancer was induced in DMBA/blue light-treated mice, which improved upon administration of tranexamic acid or carbazochrome. In the mice treated with tranexamic acid or carbazochrome, the decrease in brain and muscle arnt-like 1 (Bmal1) level was suppressed, and the levels of neutrophils, beta 2 adrenergic receptor (β2-AR), intercellular adhesion molecule 1 (ICAM1), C-C motif chemokine ligand 2 (CCL2), and noradrenaline were affected by Bmal1. Furthermore, the administration of tranexamic acid and carbazochrome suppressed neutrophil extracellular trap-associated cell death (NETosis) caused by blue light irradiation. Hence, skin cancer induced by DMBA and blue light irradiation in mice can be improved by tranexamic acid or carbazochrome because tranexamic acid or carbazochrome modulates the noradrenaline/AR-β2/CCL2/ICAM1/neutrophil/NETosis signal transduction system regulated by the clock gene Bmal1.
Optimizing conditions of mycelial inoculum immobilized in Ca-alginate beads: a case study in ectomycorrhizal fungus Astraeus odoratus
Authors: Punsung Yanisa , Pachit Pawara , Kijpornyongpan Teeratas , Paliyavuth Chanita , Imwattana Karn , Piapukiew Jittra 
Published: February 2024

Abstract

Ectomycorrhizal inoculum has emerged as a critical tool for forest restoration, especially under challenging climate change conditions. The inoculation of selective ectomycorrhizal fungi can enhance seedling survival and subsequent growth in the field. Entrapment of vegetative inocula within alginate beads has proven to be the most suitable method for seedling application in nurseries and plantations. This study optimized the liquid media for mycelial growth of Astraeus odoratus strain K1 and the sodium alginate solution composition for enhanced mycelial viability after entrapment. Using Modified Melin-Norkrans as the optimal media for mycelial cultivation and 2% sodium alginate supplemented with Czapek medium, 0.25% activated charcoal, 5% sucrose, and 5% sorbitol in the alginate solution yielded the highest viability of A. odoratus mycelia. Preservation in distilled water and 10% glycerol at 25°C for 60 days proved to be the most effective storage condition for the alginate beads. Both fresh and preserved alginate beads were tested for colonizing on Hopea odorata Roxb. seedlings, showing successful colonization and ectomycorrhizal root formation, with over 49% colonization. This study fills a crucial gap in biotechnology and ectomycorrhizal inoculum, paving the way for more effective and sustainable forest restoration practices.
A novel approach to use the DayCent model for simulating agroforestry systems with multiple components
Authors: Laub Moritz , Goff Ulysse Le , Prébandier Marc , Six Johan , Cardinael Rémi 
Published: February 2024

Abstract

Agroforestry can offer carbon sequestration, higher system productivity and biodiversity. However, a limited number of field trials exist to study their feasibility and trade-offs for large scale deployment. Agroecosystem models could represent a valuable tool for their ex ante assessment. Here, we present ZonalCent, a novel approach to use the DayCent model to simulate multi-component agroforestry systems by splitting them into several independent zones, and simulating each zone individually. We used six agroforestry sites in France to evaluate how well ZonalCent represented carbon sequestration in tree biomass, soil organic carbon stocks and in the total system. This proved promising because with the default parameter set of DayCent, ZonalCent was highly suitable to represent tree carbon sequestration (Nash-Sutcliffe modelling efficiency; NSE of 0.82), and for total system carbon sequestration potential (NSE of 0.67), despite a tendency to overestimate SOC stocks (NSE of 0.31). Only one site had yield data and there, ZonalCent approach could approximate the mean yield reduction - yet more detailed evaluation is necessary. Negative correlations with yield showed that yield was most strongly affected by a) shading by mature trees and b) the loss of arable area due to grass strips. While more detailed models may be needed for a detailed process understanding, ZonalCent includes the most important interactions (light, water, nutrients, temperature) in a simple but effective way and can be readily used - because it is based on DayCent - to estimate the potential carbon sequestration of agroforestry systems at larger scales.
Breaking the mucin barrier: a new affinity chromatography-mass spectrometry approach to unveil potential cell markers and pathways altered in Pseudomyxoma peritonei
Authors: Romero-Ruiz Antonio , Granados-Rodríguez Melissa , Bura Florina I. , Valenzuela-Molina Francisca , Rufián-Andújar Blanca , Martínez-López Ana , Rodríguez-Ortiz Lidia , Ortega-Salas Rosa , Torres-Martínez María , Moreno-Serrano Ana , Castaño Justo , Michán Carmen , Alhama José , Vázquez-Borrego Mari C. , Arjona-Sánchez Álvaro 
Published: February 2024

Abstract

Background
Pseudomyxoma peritonei (PMP) is a rare peritoneal mucinous carcinomatosis with unknown underlying molecular mechanisms. Cytoreductive surgery combined with hyperthermic intraperitoneal chemotherapy is the only therapeutic option; however, despite its use, recurrence with a fatal outcome is common. The lack of molecular characterisation in PMP and other mucinous tumours is mainly due to the physicochemical properties of mucin.
Results
This manuscript describes the first protocol capable of breaking the mucin barrier and isolating proteins from mucinous tumours. Thus, we present here the first proteome analysed in PMP and identified a distinct mucin isoform profile in soft compared to hard mucin tissues as well as key biological processes/pathways altered in mucinous tumours. Importantly, this protocol also allowed us to identify MUC13 as a potential tumour cell marker in PMP.
Conclusions
In summary, our results demonstrate that this protein isolation protocol from mucin will have a high impact, allowing the oncology research community to more rapidly advance in the knowledge of PMP and mucinous neoplasms, as well as develop new and effective therapeutic strategies.
The Anopheles coluzzii range extends into Kenya: Detection, insecticide resistance profiles and population genetic structure in relation to conspecific populations in West and Central Africa
Authors: Kamau Luna , Bennett Kelly L. , Ochomo Eric , Herren Jeremy , Agumba Silas , Otieno Samson , Omoke Diana , Matoke-Muhia Damaris , Mburu David , Mwangangi Joseph , Ramaita Edith , Juma Elijah O. , Mbogo Charles , Barasa Sonia , Miles Alistair 
Published: February 2024

Abstract

Background
Anopheles coluzzii is a primary vector of malaria found in West and Central Africa, but its presence has hitherto never been documented in Kenya. A thorough understanding of vector bionomics is important as it enables the implementation of targeted and effective vector control interventions. Malaria vector surveillance efforts in the country have tended to focus on historically known primary vectors. In the current study, we sought to determine the taxonomic status of samples collected from five different malaria epidemiological zones in Kenya as well asdescribe the population genetic structure and insecticide resistance profiles in relation to other An. coluzzi populations.
Methods
Mosquitoes were sampled as larvae from Busia, Kwale, Turkana, Kirinyaga and Kiambu counties, representing the range of malaria endemicities in Kenya, in 2019 and 2021 and emergent adults analysed using Whole Genome Sequencing data processed in accordance with the Anopheles gambiae 1000 Genomes Project phase 3. Where available, historical samples from the same sites were included for WGS.
Results
This study reports the detection of Anopheles coluzzii for the first time in Kenya. The species was detected in Turkana County across all three time points sampled and its presence confirmed through taxonomic analysis. Additionally, we found a lack of strong population genetic differentiation between An. coluzzii from Kenya and those from the more northerly regions of West and Central Africa, suggesting they represent a connected extension to the known species range. Mutations associated with target-site resistance to DDT and pyrethroids and metabolic resistance to DDT were found at high frequencies of ~60%. The profile and frequencies of the variants observed were similar to An. coluzzii from West and Central Africa but the ace-1 mutation linked to organophosphate and carbamate resistance present in An. coluzzii from coastal West Africa was absent in Kenya.
Conclusions
These findings emphasise the need for the incorporation of genomics in comprehensive and routine vector surveillance to inform on the range of malaria vector species, and their insecticide resistance status to inform the choice of effective vector control approaches.
Prevalence and genotyping of Toxoplasma gondii in questing Ixodes ricinus ticks from forest areas of Northern Poland
Authors: Adamska Małgorzata 
Published: February 2024

Abstract

Toxoplasma gondii occurs in a wide range of intermediate hosts whose blood may be a source of infection for ticks. There are few studies on the involvement of ticks in T. gondii life cycle and this one includes the largest number and all stages of Ixodes ricinus collected from the widest area, covering seven recreational localities within a forest biotope in Northern Poland. The aim of this study was to determine the prevalence of T. gondii DNA in collected 2144 questing ticks to establish if they may be involved in T. gondii transmission. The aim was also genotyping of detected T. gondii as knowledge about its genotypes occurring in European ticks is insufficient. The next goal was detection of ticks coinfection with T. gondii and Borreliaceae, as all ticks examined in this study have previously been tested for the presence of Borreliaceae DNA. Nested PCR and sequencing of the obtained B1 gene fragment were conducted. T. gondii DNA was detected in 0.9% of all ticks (1.1% of nymphs, 0.7% of larvae). The presence of T. gondii in unfed larvae and nymphs may indicate the possibility of its transovarial and transstadial transmission. Prevalence of T. gondii DNA in ticks collected from individual sites was focal (0-4.3%) and seems to be dependent on local conditions. Among all examined ticks, 0.3% were coinfected with T. gondii and Borreliella spp. vs. 0.6% of specimens with T. gondii single infection. The obtained B1 sequences showed the greatest similarity (99.71–100%) to the sequence representing type III.
Fault Hiding Procedure for Affine Nonlinear Multi- Agent Systems based on Adaptive Virtual Actuator: Application to Microgrid Systems
Authors: Ghasemi Reza , MahdianZadeh S.Narges 
Published: February 2024

Abstract

This approach develops an Adaptive fault hiding process for affine nonlinear multi-agent systems. This approach has the capability to hide the faults and external disturbances effects to guarantee the asymptotic consensus of the nonlinear dynamics in the occurrence of actuator faults, uncertainties. This methodology does not involve the separated fault detection, isolation, and identification unit to reduce the amount of computer computing. Compared to the recent researches concentrate on systems with constant input gain, the recommended policy investigates systems with nonlinear input gain as more general systems. The focal evidences of the suggested technique are 1) Making the closed loop system stable 2) Convergence the faulty systems to nominal ones in presence of faults and external disturbances, 3) convergence of the followers to the leader, and 4) robustness of the overall system. To validate the proposed methodology, this is applied on synchronous generators (SGs) in a micro-grid systems. Simulations demonstrate the effectiveness of planned fault tolerant control.
Preparation of PDMS and PDMS-UiO-66 oxygen-rich membranes and modules for membrane-aerated biofilm reactors
Authors: Tao Haiyan , Cao Xiaochang , Song Rujie , Zhou Zebin , Cheng Fang 
Published: February 2024

Abstract
A membrane-aerated biofilm reactor (MABR) combines membrane technology with biofilm processes and has unique advantages in the treatment of organic wastewater and volatile wastewater. The common membranes for MABR systems usually have relatively uneven pore structures and low bubble point pressure, resulting in unsatisfactory O2 utilization and wastewater treatment efficiency. In this work, polydimethylsiloxane (PDMS) and UiO-66 (a Zr-based metal organic framework) were coated on the surface of a commercial polypropylene (PP) hollow fiber membrane to prepare oxygen-rich MABR membranes and modules, which showed an attractive O2 utilization rate and wastewater treatment efficiency. The bubble points of the PDMS and PDMS-UiO-66 membranes were significantly higher than those of the PP membranes, and the PDMS-UiO-66 membranes had better oxygen enrichment capacity and biological affinity. The optimal PDMS-UiO-66 membrane modules had an O2 permeance of 31.65 GPU (1 GPU = 3.35 × 10−10 mol m−2 s−1 Pa−1), with O2/N2 selectivity of 2.21. The membrane hanging effect and processing capacity for domestic sewage were greatly improved. This study may provide insights and guidelines to fabricate porous mixed matrix membranes and modules in the industry for MABR. The developed products are expected to be applied in the actual separation process.
Exploring the Potential Mechanisms of Action of Gentiana Veitchiorum
Hemsl. Extract in the Treatment of Cholestasis using UPLC-MS/MS,
Systematic Network Pharmacology, and Molecular Docking
Authors: Wang Yue , Tan Nixia , Su Rong , Liu Zhenhua , Hu Na , Dong Qi 
Published: February 2024

Introduction:
Gentiana veitchiorum Hemsl. (GV) has a long history in Tibetan medicine
for treating hepatobiliary disease cholestasis. However, the mechanisms mediating its efficacy
in treating cholestasis have yet to be determined.

Aim:
To elucidate the mechanisms of action of GV in the treatment of cholestasis, an integrated
approach combining ultra performance liquid chromatography-tandem mass spectrometry
(UPLC-MS/MS) analysis with network pharmacology was established.

Materials and Methods:
A comprehensive analysis of the chemical composition of GV was
achieved by UPLC-MS/MS. Subsequently, a network pharmacology method that integrated target
prediction, a protein-protein interaction (PPI) network, gene set enrichment analysis, and a component-
target-pathway network was established, and finally, molecular docking and experiments
in vitro were conducted to verify the predicted results.

Results:
Twenty compounds that were extracted from GV were identified by UPLC-MS/MS
analysis. Core proteins such as AKT1, TNF, and IL6 were obtained through screening in the
Network pharmacology PPI network. The Kyoto Encyclopedia of the Genome (KEGG) pathway
predicted that GV could treat cholestasis by acting on signaling pathways such as TNF/IL-17 /
PI3K-Akt. Network pharmacology suggested that GV might exert a therapeutic effect on cholestasis
by regulating the expression levels of inflammatory mediators, and the results were further
confirmed by the subsequent construction of an LPS-induced RAW 264.7 cell model.

Conclusions:
In this study, UPLC-MS/MS analysis, network pharmacology, and experiment
validation were used to explore potential mechanisms of action of GV in the treatment of cholestasis.
A Six-gene Prognostic Model Based on Neutrophil Extracellular Traps
(NETs)-related Gene Signature for Lung Adenocarcinoma
Authors: Mo Guiyan , Long Xuan , Cao Limin , Tang Yuling , Yan Yusheng , Guo Ting 
Published: February 2024

Background:
Lung adenocarcinoma (LUAD) is one of the most common malignant
cancers. Neutrophil extracellular traps (NETs) have been discovered to play a crucial role in the
pathogenesis of LUAD. We aimed to establish an innovative prognostic model for LUAD
based on the distinct expression patterns of NETs-related genes.

Methods:
The TCGA LUAD dataset was utilized as the training set, while GSE31210,
GSE37745, and GSE50081 were undertaken as the verification sets. The patients were grouped
into clusters based on the expression signature of NETs-related genes. Differentially expressed
genes between clusters were identified through the utilization of the random forest and LASSO
algorithms. The NETs score model for LUAD prognosis was developed by multiplying the expression
levels of specific genes with their corresponding LASSO coefficients and then summing
them. The validity of the model was confirmed by analysis of the survival curves and
ROC curves. Additionally, immune infiltration, GSEA, mutation analysis, and drug analysis
were conducted. Silencing ABCC2 in A549 cells was achieved to investigate its effect.

Results:
We identified six novel NETs-related genes, namely UPK1B, SFTA3, GGTLC1,
SCGB3A1, ABCC2, and NTS, and developed a NETs score signature, which exhibited a significant
correlation with the clinicopathological and immune traits of the LUAD patients. High-risk
patients showed inhibition of immune-related processes. Mutation patterns exhibited variability
among the different groups. AZD3759, lapatinib, and dasatinib have been identified as potential
candidates for LUAD treatment. Moreover, the downregulation of ABCC2 resulted in the induction
of apoptosis and suppression of migration and invasion in A549 cells.

Conclusion:
Altogether, this study has identified a novel NET-score signature based on six
novel NET-related genes to predict the prognosis of LUAD and ABCC2 and has also explored
a new method for personalized chemo-/immuno-therapy of LUAD.
A Novel KIF4A-related Model for Predicting Immunotherapy Response and Prognosis in Kidney Renal Clear Cell Carcinoma
Authors: Yang Guang Hua , Ma Xu Dong , Wei Xi Feng , Liu Ran Lu , Wang Chao 
Published: February 2024

Background:
The efficacy of chemotherapy in treating Kidney Renal Clear Cell Carcinoma
(KIRC) is limited, whereas immunotherapy has shown some promising clinical outcomes.
In this context, KIF4A is considered a potential therapeutic target for various cancers.
Therefore, identifying the mechanism of KIF4A that can predict the prognosis and immunotherapy
response of KIRC would be of significant importance.

Methods:
Based on the TCGA Pan-Cancer dataset, the prognostic significance of the KIF4A
expression across 33 cancer types was analyzed by univariate Cox algorithm. Furthermore,
overlapping differentially expressed genes (DEGs1) between the KIF4A high- and lowexpression
groups and DEGs2 between the KIRC and normal groups were also analyzed. Machine
learning and Cox regression algorithms were performed to obtain biomarkers and construct
a prognostic model. Finally, the role of KIF4A in KIRC was analyzed using quantitative
real-time PCR, transwell assay, and EdU experiment.

Results:
Our analysis revealed that KIF4A was significant for the prognosis of 13 cancer types.
The highest correlation with KIF4A was found for KICH among the tumour mutation burden
(TMB) indicators. Subsequently, a prognostic model developed with UBE2C, OTX1, PPP2R2C,
and RFLNA was obtained and verified with the Renal Cell Cancer-EU/FR dataset. There was a
positive correlation between risk score and immunotherapy. Furthermore, the experiment results
indicated that KIF4A expression was considerably increased in the KIRC group. Besides, the
proliferation, migration, and invasion abilities of KIRC tumor cells were significantly weakened
after KIF4A was knocked out.

Conclusion:
We identified four KIF4A-related biomarkers that hold potential for prognostic assessment
in KIRC. Specifically, early implementation of immunotherapy targeting these biomarkers
may yield improved outcomes for patients with KIRC.
Stabilizing Scaffold for Short Peptides Based on Knottins
Authors: Beloborodov Evgenii , Iurova Elena , Sugak Dmitrii , Rastorgueva Eugenia , Pogodina Evgeniya , Fomin Aleksandr , Viktorov Denis , Slesarev Sergei , Saenko Yury 
Published: February 2024

Background:
Bombesin (BBN) is a short peptide with a high affinity for receptors that
are expressed on the surface of various types of cancer cells. However, a full length BBN
molecule has low in vivo stability.

Objective:
In our study, we propose the use of peptide toxins, derived from animal and plant
toxins, as scaffold molecules to enhance the bioavailability and stability of bombesin. These peptides
possess a unique structure known as an inhibitory cystine knot.

Methods:
We synthesized structures in which short bombesin was incorporated into various domains
of arthropod and plant toxins using solid-phase peptide synthesis. The stability under different
conditions was assessed through high-performance liquid chromatography, and binding to cell
cultures expressing the bombesin receptor was analyzed. Additionally, toxicity to cell cultures
was evaluated using fluorescence microscopy.

Results:
The data obtained demonstrated that placing the short peptide between the first and second
cysteine residues in arachnid toxins results in increased in vitro stability and bioavailability,
as well as low cytotoxicity.

Conclusion:
Arachnid toxins with an inhibitory cystine knot can be considered as a scaffold for increasing
the stability of therapeutic peptides.
Research on High-speed Electric Spindle Cooling Devices and Thermal Error Compensation Technology
Authors: Cheng Yaonan , Jin Shenhua , Zhou Shilong , Qiao Kezhi , Xue Jing 
Published: February 2024

Background:
When computerized numerical control (CNC) machine tools are working,
the electric spindle generates serious heat, which can easily cause the thermal elongation of the spindle
and generate thermal errors. Designing cooling devices to control the generation of thermal errors
in the spindle and utilizing thermal error compensation techniques for error compensation are essential
for improving machining quality and productivity.

Objective:
By summarizing the current status of research on cooling devices and compensation technology
of electric spindles in recent years, some conclusions have been drawn in this work to propose
the future research direction.

Methods:
By reviewing patents on cooling devices and thermal error compensation technology of
high-speed electric spindles published in recent years, we have explored the ideas for the improvement
of existing cooling devices and compensation technology.

Results:
Some problems of the patents on current cooling devices and thermal error compensation
technology are analyzed, and future research directions are proposed, respectively.

Conclusion:
As spindle power and speed continue to increase, the existing spindle cooling device
and compensation technology also need to be continuously improved. Designers use intelligent technology
to monitor the temperature changes during the work of the spindle and fast and accurate control
of the cooling system so that the high-speed spindle cooling device tends to be intelligent. Aiming
at the thermal error generated in the spindle working process, the designer enhances the error
compensation effect by continuously improving and upgrading the key steps in the thermal error
compensation technology, which in turn improves the spindle machining accuracy.