bluuebunny/crossref_metadata_2025_split huggingface dataset:
Molecular dynamics insight of interaction between Artemisinin and its derivatives and the cancer cell membrane
Authors: Boroomand Samaneh , Mohammad-Aghaie Delara , Mohammadpour Fatemeh 
Published: July 2024

Abstract

In the present study, the molecular dynamics simulation approach has been utilized to investigate the effectiveness of four molecules, including Artemisinin, a natural product, and its derivatives Dihydroartemisinin, Artesunate, and Artemisone, on a cancer cell membrane model. Performed simulations predicted that Dihydroartemisinin and Artemisone form stronger hydrogen bonds with the cancer membrane, exhibit higher mobility, and have a longer lifetime at the water-membrane interface. Artemisone molecules could penetrate to the hydrophobic part of the lipid’s tail which led to higher fluidity of the cancer membrane. These two compounds were able to exert the greatest effect and change on the properties and characteristics of the membrane model while showing stronger anti-cancer effects than the other two compounds. The simulation outcomes and predictions were found to agree with the results of experimental studies. There is a noticeable difference in the way Dihydroartemisinin and Artemisone enter the cancer membrane compared to Artemisinin and Artesunate. The former two enter from the functional group side into the cancer membrane while the latter two pass into it from the peroxide ring side.
Environmental impact of petroleum pipelines on vegetation using LANDSAT 8 within Warri and environs, Southern Nigeria
Authors: ENUNEKU Alex , OKOH Anthony , AIGBOGHO Uwadea Gracious , EHINLAIYE Oziofu Ayamezimi 
Published: July 2024

Abstract

Nigeria is one of the largest oil producers in Africa, with a significant network of pipelines that transport crude oil and natural gas from extraction sites to refineries and export terminals. While pipelines are critical for the country's economy, they also have significant environmental impacts, both during construction and operation. This study was aimed at conducting an environmental impact of petroleum pipelines on vegetation using Landsat 8 within Warri and Environs, Southern Nigeria. The study area (latitude N5o14’23.9” to 6o3’3.6” and longitude E6o11’42.3” to E6o15’53.5”) covers pipeline route in and around Warri and environs. The pipeline runs west from Warri toward Ajudaibo, close to Escravos, southeast from Warri through Uzere, Ayagha among others and northwards through Okuabude, Ovade, Aragba Okpe, among others. The pipelines form a network of routes weaving through land use predominantly made up of vegetative forest, farmland, waterways and urban area. The pipelines are used to convey oil and gas to power stations, refineries, domestic outlets, export terminals, etc. Google Earth Engine (GEE) was used to access Landsat 8 data and generate Normalized Difference Vegetation Index (NDVI) maps. After selecting Landsat 8 data set imagery, it was filtered using the date range − 2015, 2016, 2017, 2018, 2019, 2020, 2021 and 2022. Results showed that NDVI values throughout the study ranged between − 0.56484 in 2017 to 0.83643 in 2017. NDVI value along the pipeline route ranged between − 0.29 in 2020 and 0.808 in 2017.Stressed vegetation was highest 2018 with coverage at 78.06 percent while no coverage was recorded for very healthy vegetation in 2015, 2018 and 2022.Stressed vegetation was occupied by 93.71% of the pipeline route in 2018 while dead plants occupy about 1.08 percent in 2017. Pipeline route occupied by dead plant has been constant between 2015 and 2022 with a slight rise in 2022. Decline in vegetation health along the pipeline route was observed in 2018, resulting in 829,152 hectares of land subjected to stress from pipeline hazard. Also, vegetative recovery started in 2019 and continued to 2021 especially as there was no pipeline accident reported. This study has provided information on the impact on pipelines on surrounding vegetation. Therefore, there is need for continuous monitoring of pipelines to forestall incidences of leakages and sustenance of vegetative growth.
Role of transforming growth factor-β1 in regulating adipocyte progenitors
Authors: Phuong Nguyen Quynh , Bilal Muhammad , Nawaz Allah , Anh Le Duc , Memoona Memoona , Aslam Muhammad Rahil , Khalid Sana , Kado Tomonobu , Watanabe Yoshiyuki , Nishimura Ayumi , Igarashi Yoshiko , Okabe Keisuke , Hirabayashi Kenichi , Yamamoto Seiji , Nakagawa Takashi , Mori Hisashi , Usui Isao , Fujisaka Shiho , Hayashi Ryuji , Tobe Kazuyuki 
Published: July 2024

Abstract

Adipose tissue (AT) metabolism involves coordinating various cells and cellular processes to regulate energy storage, release, and overall metabolic homeostasis. Therein, macrophage and its cytokine are important in controlling tissue homeostasis. Among cytokines, the role of transforming growth factor-β1 (Tgf-β1), a cytokine abundantly expressed in CD206+ M2 macrophage and correlated with the expansion of AT and fibrosis, in AT metabolism remains unknown. We used CD206CreERT2; Tgf-β1f/f mouse model in which the Tgf-β1 gene was conditionally deleted in CD206+ M2 macrophages followed by tamoxifen administration, to investigate the role of the Tgf-β1 gene in glucose and insulin metabolism. Our data demonstrated that lack of CD206+ M2 macrophages derived Tgf-β1 gene improved glucose metabolism and insulin sensitivity by enhancing adipogenesis via hyperplasia expansion. The Tgf-β1 gene, specifically from CD206+ M2 macrophages, deletion stimulated APs’ proliferation and differentiation, leading to the generation of smaller mature adipocytes, therefore maintaining insulin sensitivity and improving glucose metabolism under normal chow conditions. Our study brings a new perspective that Tgf-β1 gene deletion specific from CD206+ M2 macrophage promotes adipocyte hyperplasia, improving glucose homeostasis. Thus, deletion of the Tgf-β1 gene derived from CD206+ M2 macrophage might be a potential strategy for preventing obesity and type 2 diabetes.
Probiotic enrichment of copepod (Acanthocyclops sp.) towards improving fish survival, nutritional content, optimal growth and sustainability
Authors: Husain Fazal 
Published: July 2024

Abstract

The article illustrates a thorough examination of the importance of live feed culture in aquaculture, especially in nurseries. Live feed is essential for aquaculture's sustainable development and ensuring a steady supply of fry and fingerlings. After being washed in sterilized water, copepods were bio-enriched with probiotic bacterial isolates (KAF061, 124, & 135) and commercial probiotics. A phase-contrast microscopic analysis confirmed the bioenrichment of copepods. We assessed the nutritional composition of the live feed culture using proximate analysis, revealing a greater protein content in microalgae, copepods, rotifers, and artemia compared to commercial fish feed. Based on these findings, the probiotic-rich live feed culture has a lot of potential for improving the nutritional content of fish, mollusks, and crustaceans that are still larvae. This could lead to better growth and survival rates for fry and fingerlings. These findings have significant implications for long-term aquaculture practices in developing low-cost and ecologically acceptable live feed alternatives for growth and survival.
Landscape Effects on the Gut Microbiome of Apis mellifera Bees: A Comparative Study between Atlantic Forest and Caatinga Biomes
Authors: Soares Kilmer Oliveira , Rocha Thamara Ferreira Da , Hale Vanessa L. , Vasconcelos Priscylla Carvalho , Nascimento Letícia José Do , Silva Núbia Michelle Vieira Da , Rodrigues Adriana Evangelista , De Oliveira Celso José Bruno 
Published: July 2024

Abstract

The composition of the intestinal microbiota of animals can be influenced by a variety of intrinsic and extrinsic factors to the host, such as diet, physiological state, and genetics. This study aimed to characterize the differences in the intestinal microbiota of Apis mellifera bees from two distinct biomes, the Atlantic Forest and the Caatinga, utilizing metataxonomy. High-performance sequencing of the V3-V4 region of the 16S rRNA microbial gene was conducted, followed by comprehensive data processing. A higher differential abundance of the genus Apibacter was observed in bees from the Atlantic Forest biome. Previous studies have indicated that bees exposed to different types of landscapes exhibit significant differences in their gut microbial communities. However, it is noteworthy that the variance attributable to landscape type, while significant, is relatively low. This study contributes to the understanding of how environmental factors can influence the microbiota of bees in different biomes.
Traditional Dai Ethnic Residential Architecture Classification Based on Inception V3 Model
Authors: Gao Yang , Zhong Lihui , Zhou Jingfan , Wu Hongquan , Liu Xincen 
Published: July 2024

Abstract

The accurate classification of traditional Dai ethnic residential architectures is beneficial for the elucidation of the laws of homologous differentiation of Dai ethnic groups, and is of great significance for further research on the landscape division of Dai ethnic traditional settlements. However, at present, Nevertheless, the creation of a dataset of traditional Dai ethnic residential architectures has yet to be undertaken, and no literature on the deep learning algorithm for the classification of these structures could be retrieved. To address this gap in the existing literature , this paper presents a collection of image data on traditional Dai ethnic residential archi-tectures in the Pu'er region of Yunnan Province, China. The data was collected through field research. The original data have been subjected to cleansing procedures in order to construct a da-taset comprising five distinct types of traditional Dai ethnic residential architectures. The five types of traditional Dai ethnic residential architecture are as follows: 'fence-standing with square roof', 'fence-standing with rectangular roof', 'courtyard-standing with double-eaved sloped roof', 'courtyard-standing with single-eaved sloped roof', and 'traditional earthen flat-roof house'. Following the data enhancement, the Inception V3 network model was employed for classification. The model demonstrated superior performance, achieving a classification accuracy of 93.41%, which surpassed the accuracy, recall, and loss rate of ResNet50 (Residual Network 50, ResNet50) and AlexNet(Alex Krizhevsky Network, AlexNet). This artificial intelligence classification method offers an efficient and intelligent method for elucidating the genetic characteristics and landscape differences of different types of Dai ethnic traditional residential architectures. This approach facilitates the transition from manual to intelligent genealogical study of traditional residential architectures.
Crucial Aspects for Maintaining rAAV Stability
Authors: Lengler Johannes , Gavrila Miruna , Brandis Janina , Palavra Kristina , Dieringer Felix , Unterthurner Sabine , Fuchsberger Felix , Kraus Barbara , Bort Juan A. Hernandez 
Published: July 2024

Abstract

Background
The storage of rAAV vectors for gene therapy applications is critical for ensuring a constant product quality and defined amount of medication at the time of administration. Therefore, we determined the influence of different storage conditions on the physicochemical and biological properties of rAAV8 and rAAV9 preparations. Particular attention was paid to short-term storage, which plays a crucial role in both the manufacturing process and in clinical applications. Additionally, we addressed the question, of viability of rAAV8 and rAAV9 when subjected to very low-temperature storage conditions (< -65°C) or lyophilization. To determine the impact on rAAV vectors, various analyses were used, including the quantification of capsid and genome titers, as well as biopotency assessments, which are pivotal determinants in characterizing vector behavior and efficacy.
Results
Our data showed that freeze/thaw cycles hardly affected the functionality of rAAV9-aGAL vectors. In contrast, prolonged storage at room temperature for several days, resulted in a discernible decrease in biopotency despite consistent capsid and genome titers. When the storage temperature was further increased, the rAAV8-aGAL decay accelerated. For example, a short-term exposure of + 40°C and more, led to a reduction in the physical viral titer and to an even faster decline in efficacy determined by biopotency. However, the addition of sucrose and sorbitol to the rAAV9-aGAL and rAAV9-GAA preparations reduced the temperature sensitivity of rAAV and improved its stability. Furthermore, exposure of rAAV9-aGAL to highly acidic conditions (pH 2.5) dramatically reduced its biopotency by 70% or more. Most interestingly, a long-term storage of rAAV9-aGAL and rAAV8-FVIII vectors over 12 months and 36 months, respectively, demonstrated exceptional stability at storage temperatures below − 65°C. Also lyophilization conserved functionality for at least 10 months.
Conclusions
Our data showed how to maintain rAAV biopotency levels over the time without substantial loss. Storage at very low temperatures (< -65°C) preserved its effectiveness over years. Overall, pH and temperature conditions during the manufacturing process, storage and clinical application are worth considering. Consistency in the rAAV capsid titer determination did not necessarily indicate the preservation of biopotency. In conclusion, our approach determined several options for maximizing rAAV stability.
A Comprehensive Ma-Mi-P Framework for Analyzing Factors Influencing the Development of New Energy Vehicles in China
Authors: Guo Jiacheng , Zhong Han 
Published: July 2024

Abstract

The Chinese new energy vehicle (NEV) industry currently holds significant development potential, attracting more participants. Studying the factors influencing the development of NEVs can provide valuable guidance for existing automotive companies and future entrants, helping to inform their development and improvement strategies. Building on existing research, this paper proposes a Ma-Mi-P framework for analyzing the factors influencing the development of new energy vehicles for the first time. The framework is divided into three levels: Ma (macro-level), Mi (micro-level), and P (personal-level). At the macro-level, the Boruta feature selection algorithm is employed to evaluate the importance of eight indicators: the number of charging stations, gasoline consumption, national disposable income, consumer spending levels, industrial GDP, gasoline benchmark price, material production, and government subsidies. At the micro-level, the random forest algorithm ranks indicators within product performance and brand image modules. At the personal-level, we collect behavioral event information of entrepreneurs and conduct an MBTI personality analysis using fuzzy set qualitative analysis. The study concludes that government subsidies, material production, and the number of charging stations are the most crucial factors at the macro-level. At the micro-level, consumer satisfaction and brand recognition are the key determinants influencing the development of new energy vehicles. Additionally, entrepreneurs with an ENFJ personality have a significantly positive impact on new energy vehicle companies. The proposed Ma-Mi-P framework provides a comprehensive and systematic analysis of the various factors influencing the development of new energy vehicles, addressing the gaps in existing theoretical research. The findings can also offer valuable guidance for current new energy vehicle companies and future industry entrants.
Corrinoid-dependent ethyl-transfer catalyzed by the methanol:coenzyme M methyl transferase from Methanosarcina acetivorans
Authors: Somvanshi Tejas , Bao Jichen , Scheller Silvan 
Published: July 2024

Abstract

Corrinoid-dependent methyltransferases catalyze methyl-group transfer reactions in all domains of life. These enzymes are generally considered exclusive for C1-substrates (methyl-groups). However, in Methanosarcina trace ethane production from ethanol has been demonstrated in vivo, which led to the hypothesis that corrinoid-dependent methanol specific methyltransferases are promiscuous towards also accepting ethyl-groups. Here we show that the conversion of ethanol to trace amounts of ethane in Methanosarcina acetivorans proceeds via the known methanol-to-methane metabolism, involving the methanol:5-hydroxybenzimidazolylcobamide methyltransferase (MtaB) and a corrinoid-containing methyl-accepting protein (MtaC), but via transfer of ethyl groups instead of methyl groups. We demonstrate that all three isozymes of the methanol specific MtaB subunit and the corrinoid protein MtaC of M. acetivorans are promiscuous towards accepting ethanol, granting the microbe capacity of ethane production via promiscuity downstream in Co-methyl-5-hydroxybenzimidazolylcobamide:2-mercaptoethanesulfonate methyltransferase (MtaA) and methyl-coenzyme M reductase (Mcr). We assessed the ethyl-group transfer efficiency of each of the three isozymes and engineered chimeras that combine 2 different MtaA subunits with the 3 isoforms of MtaCB together to increase the ethane production capability of M. acetivorans. Demonstrating that corrinoid-dependent coenzyme M methyltransferases can catalyze transfer of higher alkyl groups extends the pool of reactions to be considered in metabolic networks.
Spatial Profiling Reveals Distinct Immune Microenvironment Specific to Premenopausal Triple Negative Breast Cancer
Authors: Nimbalkar Vidya P. , Snijesh V.P. , Rajarajan Savitha , Anupama C.E. , Mahalakshmi S , Alexander Annie , Dechamma Deshica , Moorthy Manju , Ramaswamy Gopalakrishna , Ramesh Rakesh , Sri B.S. , Prabhu Jyothi S. 
Published: July 2024

Abstract

Background
Triple-negative breast cancer (TNBC) is characterized by a lack of targeted therapies, leading to poor prognosis. Premenopausal TNBC often has different clinical outcomes compared to postmenopausal patients, influenced by their hormonal milieu and its impact on the tumor microenvironment (TME). This study used Digital Spatial Profiling (DSP) to explore these differences comprehensively.
Methods
We analyzed 11 treatment-naive TNBC tumors (premenopausal, n=5; postmenopausal, n=6) with long-term follow-up, using DSP with the NanoString GeoMx Cancer Transcriptomics Atlas (CTA) panel (1812 genes). Tumor and non-tumor areas were selectively analyzed to generate the transcriptomic data, followed by pathway analysis and TME assessment using the ESTIMATE algorithm and tumor immune phenotype (TIP) signature. Cell deconvolution methods were employed to identify immune subtypes and their association with disease-free survival was examined by survival analysis and further validated by immunohistochemistry (IHC) for CD4, CD8, and CD20 markers.
Results
Cluster analysis revealed distinct profiles based on menopausal status. In premenopausal tumors, immune regulating pathways such as neutrophil degranulation, interferon signaling, and the complement system were upregulated, while T cell checkpoint, cancer antigen, and B cell pathways were downregulated. Non-epithelial compartment showed upregulation of IL2, BCR signaling, and T cell pathways. Immune cell identification using a deconvolution-based method showed increased CD8+ T cells, endothelial cells, myeloid dendritic cells, and monocytes in premenopausal tumors. Increased intratumoral protein expression of CD8, CD4, and CD20 in premenopausal TNBC was noted, with infiltration of CD20 correlating with a better prognosis. Further transcript-based TIP signature analysis showed increased expression of immune cold signature in premenopausal tumors.
Conclusion
This study provides a detailed analysis of TME in TNBC, emphasizing immunological differences associated with menopausal status. Targeting these distinct immune environments, potentially by modulating hormonal effects or enhancing immune responses, may improve TNBC treatment efficacy. Further research validating these findings and exploring combination therapies could enhance immunotherapy outcomes in TNBC patients.
The first record of the Uniform-Finch (Haplospiza unicolor Cabanis, 1851) in the Cerrado and Center-West of Brazil
Authors: Souza Yuri , Salvador João , Wijas Baptiste 
Published: July 2024

Abstract

The Uniform-Finch (Haplospiza unicolor Cabanis, 1851) is typically found in the Atlantic Forest of Brazil, but we have recorded it for the first time in the Brazilian savanna, or Cerrado, at a private property in Alto Paraíso de Goiás, Goiás state. This is a new record at both the biome and state levels. We also accessed all the occurrence information of H. unicolor available in databases to explore its overall geographical range. This new sighting indicates this bird was found 679,43km from its original distribution range, thus shedding light either on its potential for dispersal or the prior lack of knowledge on persisting bird populations in the area. The record presented here adds to the understanding of H. unicolor distribution and potential for dispersal, indicating the need for further research to explore its population size, stability, and environmental adaptation in the Cerrado.
Capecitabine-loaded NLC for Breast Cancer Treatment: Preparation, Characterization, and In vitro Evaluation
Authors: Hadi Sultan Muhammad , Almoshari Yosif , Mohan Syam , Ahmed Al-Kasim Mohamed , S. Alyami Hamad , Azam Ansari Mohammad , Alam Mohammad Intakhab 
Published: July 2024

Background:
Cancer treatment often involves the use of potent antineoplastic drugs like
Capecitabine [CAP], which can lead to serious toxicities. There is a need for dosage forms to manage
these toxicities that can deliver the medication effectively to the target site while maintaining
therapeutic efficacy at lower doses. To achieve the aforesaid objective, NLC containing capecitabine
[NANOBIN] was prepared and evaluated. Different formulations of NANOBIN, denoted as CaTS,
CaT1S, CaT2S, CaTS1, and CaTS2, were designed and evaluated to improve drug delivery and
therapeutic outcomes.

Methods:
The NANOBIN formulations were prepared using the hot homogenization method. The
characterization of these formulations was conducted based on various parameters such as particle
size, Polydispersity Index [PDI], Zeta Potential [ZP], Transmission Electron Microscopy [TEM]
imaging, and Encapsulation Efficiency [EE]. In vitro evaluations included stability testing, release
studies to assess drug release kinetics, and a cytotoxicity assay [MTT assay] to evaluate the efficacy
of these formulations against human breast cancer cells [MCF-7].

Results:
The characterization results revealed that all NANOBIN formulations exhibited particle
sizes ranging from 65 to 193 nm, PDI values within the range of 0.26-0.37, ZP values between 46.47
to 61.87 mV [-ve], and high EE percentages ranging from 94.121% to 96.64%. Furthermore, all
NANOBIN formulations demonstrated sustained and slow-release profiles of CAP. The MTT assay
showed that the NANOBINs exhibited significantly enhanced cytotoxic efficacy, approximately 10
times greater than free CAP when tested on MCF-7 cells. These findings indicate the potential of
NANOBINs to deliver CAP effectively to the target site, enabling prolonged drug availability and
enhanced therapeutic effects at lower doses.

Conclusion:
The study demonstrates that NANOBINs can effectively deliver CAP to target sites,
prolonging drug exposure and enhancing therapeutic efficacy while reducing the required dose. Further
studies are necessary to validate these findings and establish NANOBINs as a preferred treatment
option for cancer therapy.