bluuebunny/crossref_metadata_2025_split huggingface dataset:
A comprehensive review on adsorptive removal of azo dyes using functional materials
Authors: Khan Afsar , Ju Peiwen , Han Zhengwei , Ni Chenquan 
Published: February 2024

Abstract

The shortage of freshwater resources caused by azo dye pollution is an acute global issue, which has a great impact on environmental protection and human health. Therefore, the use of new strategies for designing and synthesizing green, efficient, and economical materials for the removal of azo dyes is required. Among the various methods for removal of azo dyes, adsorption by using advanced functional materials, including nanomaterials, metal oxides, metal oxides–polymer composite, biomaterials, and porous materials, have attracted significant attention over the past few years because of their capabilities of brilliant removal efficiency, high selectivity, quick response, reversibility, flexibility in operation, and less harmful by-products. In this review, we report the adsorption of azo dyes and general design principles underlying the above-mentioned functional materials and, in particular, highlight the fundamental mechanisms and effect of various environmental conditions; also, current challenges and opportunities in this exciting field have been emphasized, including the fabrication, subsequent treatment, and potential future applications of such functional materials.
Multi-site calibration of the SWAT hydrological model and study of spatio-temporal variation of water balance components in the Narayani River Basin, central part of Nepal
Authors: Devkota Nirajan , Lamichhane Suraj , Bhattarai Pawan Kumar 
Published: February 2024

Abstract

Science-policy interaction is vital for addressing hydro-climatic disasters in data-limited regions, with modeling and analysis as key components. The utilization of the soil and water assessment tool (SWAT) model facilitated an evaluation of water balance variations across time and space within Narayani Basin through multi-site calibration. The adjustment of all parameters via the SUFI-2 algorithm revealed that precipitation and temperature lapse rate (PLAPS and TLAPS) exhibit higher sensitivity in scenarios where observed stations fail to capture orographic effects. The calibrated model accurately replicated evapotranspiration, net water yield, and groundwater flow for each sub-basin, including average flow and flow duration curve at calibration points. Findings indicated that 22% of precipitation is lost to evaporation, while 75% contributes to basin runoff, showcasing significant spatial and temporal variability in water balance components. Notably, net water yield comprises 44% lateral flow, 38% surface flow, and 16% groundwater flow, with distinct spatial patterns favoring lateral flow in the Himalayas and groundwater flow in the plains due to topographical variations. These outcomes offer actionable insights for policymakers and water resource managers, enabling assessments of climate and land use impacts and facilitating the formulation of policies for sustainable water resource utilization.
Challenges and opportunities for decentralised water technologies in Scotland
Authors: Lawson Elizabeth , Robbie Jill , Sloan William T. , Amezaga Jaime 
Published: February 2024

Abstract
The paradigm of centralised water and wastewater services is coming under significant pressure from multiple global factors. Therefore, there is a need to consider the challenges and opportunities for decentralised water and wastewater technologies and systems. This search is particularly relevant within the context of Scotland, where a proportion of the population uses existing decentralised technologies. The Scottish context shows that those using decentralised services struggle to manage their water and wastewater services without appropriate support. However, the global goals of universal access to safe water and adequate sanitation, a just transition to net-zero and community empowerment, provide opportunities and policy pathways towards the implementation and improvement of decentralised technologies and systems.
Potential and risks of water reuse in Brandenburg (Germany) – an interdisciplinary case study
Authors: Dittmann Daniel , Seelig Alina H. , Thalmann Mogens , Wilkes Theresa , Junghans Veikko , Zahn Daniel , Klitzke Sondra , Peters Andre , Haberkamp Jens , Reemtsma Thorsten , Ruhl Aki S. 
Published: February 2024

Abstract

For Brandenburg, a region in Germany with increasing water shortage and drought events, water reuse can counteract competition scenarios between drinking water supply, agricultural irrigation, and industrial use. Centralized and decentralized sources for reclaimed water are found to potentially substitute 245 or 28% of irrigation water, respectively, in agriculture production in Brandenburg. For such a reuse scenario, the fate of organic micro-pollutants is examined for diatrizoate (DZA) and carbamazepine (CBZ). Retention in local sandy soil and transfer into roots and leaves of arugula are analyzed in lysimeter studies and greenhouse pot experiments. Vertical transport was found for DZA and accumulation in or on arugula roots with a root concentration factor of 1,925 ± 34% but a low bioconcentration factor due to intrinsic molecule properties. CBZ was not found to be mobile in the sandy soil but accumulates in arugula roots and leaves by factors of 70 ± 7% and 155 ± 12%, respectively. Further research on potential plant uptake and groundwater enrichment for more substances is highly recommended as well as tertiary wastewater treatment prior to water reuse.
Characteristics of dissolved organic matter during the cyanobacterial degradation in Chaohu Lake, China
Authors: Cheng Qiao , He Xi , Feng Airong , Ouyang Wenjuan , Hu Yanyun , Feng Jingwei , Zhang Liu , Yin Hao , Zheng Liugen 
Published: February 2024

Abstract

The actual DOM in Chaohu Lake was used to feed cyanobacterial to explore the changes of microbial communities, fluorescence spectral characteristics and molecular composition of DOM during the degradation of cyanobacteria. It is found that cyanobacterial grow periodically depending on the concentration of nutrients with the decreasing concentration of nutrient salts. Both Bacteroidetes and Actinobacteria have strong correlation with algae growth. Bacteroidetes has a positive correlation with algae growth, relationship on the contrary, Actinobacteria has a negative relationship. The humus-like components in the four groups are similar, but the protein-like component (C3) shows periodic changes with the life process of cyanobacteria. The average molecular weight of each sample detected by Orbitrap high-resolution mass spectrometer increases slightly and the DOM increase aromaticity in the end. In this study, the molecule of Carboxyl-Rich Alicyclic Molecules (CRAM) is difficult to be done by photodegradation and biodegradation in the early periods, but some molecules of CRAM are selectively degraded by microorganisms in the final period. The growth of cyanobacterial lead to increasing the concentration of protein-like and carbohydrate-like molecule of DOM in the water. In the final stage, the molecule group of CHO disappear significantly and the molecule group of heteroatomic group increase.
Application Research Progress of Nanomaterial Graphene and its Derivative Complexes in Tumor Diagnosis and Therapy
Authors: Cui Li Wen , Fan Lu Yao , Shen Zhi Yong 
Published: February 2024

:
Functional nanomaterial graphene and its derivatives have attracted considerable
attention in many fields because of their unique physical and chemical properties.
Most notably, graphene has become a research hotspot in the biomedical field, especially
in relation to malignant tumors. In this study, we briefly review relevant research
from recent years on graphene and its derivatives in tumor diagnosis and antitumor therapy.
The main contents of the study include the graphene-derivative diagnosis of tumors
in the early stage, graphene quantum dots, photodynamics, MRI contrast agent, acoustic
dynamics, and the effects of ultrasonic cavitation and graphene on tumor therapy. Moreover,
the biocompatibility of graphene is briefly described. This review provides a broad
overview of the applications of graphene and its derivatives in tumors. Conclusion,
graphene and its derivatives play an important role in tumor diagnosis and treatment.
Effects of Herpud1 in Methamphetamine-induced Neuronal Apoptosis
Authors: Lu Shuang , Li Yan , Wang Lewen , Xiong Kun , Yan Jie , Zhai Zhihao , Yan Weitao 
Published: February 2024

Introduction:
Methamphetamine (METH) is an illicit psychoactive substance
that can damage various organs in the body, especially the nervous system. We hypothesized
that expression of homocysteine-inducible endoplasmic reticulum-resident with
ubiquitin-like domain member 1 (Herpud1) protein would alleviate the induction of
apoptosis following METH administration.

Methods:
To test this hypothesis, we analysed the changes in Herpud1 expression and
apoptosis in PC12 cells under different concentrations and exposure times of METH.
Moreover, we examined the effects of Herpud1 knockdown on METH-induced neuronal
apoptosis. Flow cytometry and Western blot analyses were used to evaluate apoptosis
levels and the expression of apoptotic markers (cleaved caspase-3) in PC12 cells following
Herpud1 knockdown by synthetic small interfering RNA (siRNA).

Results:
Our results showed that Herpud1 expression was upregulated in PC12 cells following
METH treatment, while endoplasmic reticulum stress (ERS) and apoptosis were
also increased. Conversely, Herpud1 knockdown reduced METH-induced ERS and
apoptosis levels in vitro.

Conclusions:
These results suggest that Herpud1 plays an essential role in METH-induced
neuronal ERS and apoptosis and may represent a potential therapeutic gene target
in METH-induced neurotoxicity.
lncRNA-056298 Regulates GAP43 and Promotes Cardiac Intrinsic Autonomic Nerve Remodelling in a Canine Model of Atrial Fibrillation Induction after Ganglionated Plexus Ablation
Authors: Bai Shuting , Wang Ximin , Hou Yinglong , Cui Yansong , Song Qiyuan , Du Juanjuan , Zhang Yujiao , Xu Jingwen 
Published: February 2024

Background:
Cardiac intrinsic autonomic nerve remodelling has been reported
to play an important role in the recurrence of atrial fibrillation after radiofrequency
ablation, which significantly affects the long-term efficacy of this procedure. lncRNAs
have been shown to interact in the pathological processes underlying heart diseases.
However, the roles and mechanisms of lncRNAs in cardiac intrinsic autonomic nerve remodelling
during atrial fibrillation reduction after ganglionated plexus ablation remain
unknown.

Objectives:
The aim of this study was to investigate the mechanism by which lncRNA-
056298 modulates GAP43 to affect cardiac intrinsic autonomic nerve remodelling
and facilitate the induction of atrial fibrillation after ganglionated plexus ablation.

Methods:
A canine model of right atrial ganglionated plexus ablation was established.
The atrial electrophysiological characteristics and neural markers were detected before
and after 6 months of ganglionated plexus ablation. High-throughput sequencing was
used to screen differentially expressed lncRNAs in target atrial tissues, and lncRNA-
056298 was selected to further explore its effects and mechanisms on cardiac intrinsic
autonomic nerve remodelling.

Results:
The induction rate of atrial fibrillation increased in dogs after ganglionated
plexus ablation. Overexpression of lncRNA-056298 by lentivirus can shorten the atrial
effective refractory period and increase the induction of atrial fibrillation. lncRNA-
056298 promoted cardiac intrinsic autonomic nerve remodelling via endogenous
competition with cfa-miR-185 to induce transcription of its target gene GAP43, thereby
affecting the induction of atrial fibrillation.

Conclusions:
lncRNA-056298 regulates GAP43 by sponging miR-185, which affects
cardiac intrinsic autonomic nerve remodelling and mediates atrial fibrillation induction
after ganglionated plexus ablation.
Exploring the Effect of Xiao-Chai-Hu Decoction on Treating Psoriasis Based on
Network Pharmacology and Experiment Validation
Authors: He Ke , Wang Ziyang , Liu Meng , Du Wenqian , Yin Tingyi , Bai Ruimin , Duan Qiqi , Wang Yuqian , Lei Hao , Zheng Yan 
Published: February 2024

Background:
Psoriasis is a chronic, inflammatory and recurrent skin disease. Xiao-Chai-Hu Decoction
(XCHD) has shown good effects against some inflammatory diseases and cancers. However, the pharmacological
effect and mechanisms of XCHD on psoriasis are not yet clear.

Objective:
To uncover the effect and mechanisms of XCHD on psoriasis by integrating network pharmacology,
molecular docking, and in vivo experiments.

Methods:
The active ingredients and corresponding targets of XCHD were screened through Traditional Chinese
Medicine Systems Pharmacology Database and Analysis (TCMSP) and Traditional Chinese Medicine Integrated
Database (TCMID). Differentially expressed genes (DEGs) of psoriasis were obtained from the gene
expression omnibus (GEO) database. The XCHD-psoriasis intersection targets were obtained by intersecting
XCHD targets, and DEGs were used to establish the “herb-active ingredient-target” network and Protein-Protein
Interaction (PPI) Network. The hub targets were identified based on the PPI network by Cytoscape software.
Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis
were performed next. Molecular docking was executed via AutoDockTools-1.5.6. Finally, in vivo experiments
were carried out further to validate the therapeutic effects of XCHD on psoriasis.

Results:
58 active components and 219 targets of XCHD were screened. 4 top-active components (quercetin,
baicalein, wogonin and kaempferol) and 7 hub targets (IL1B, CXCL8, CCND1, FOS, MMP9, STAT1 and
CCL2) were identified. GO and KEGG pathway enrichment analyses indicated that the TNF signaling pathway,
IL-17 signaling pathway and several pathways were involved. Molecular docking results indicated that
hub genes had a good affinity to the corresponding key compounds. In imiquimod (IMQ)-induced psoriasis
mouse models, XCHD could significantly improve psoriasis-like skin lesions, downregulate KRT17 and Ki67,
and inhibit inflammation cytokines and VEGF.

Conclusions:
XCHD showed the therapeutic effect on psoriasis by regulating keratinocyte differentiation, and
suppressing inflammation and angiogenesis, which provided a theoretical basis for further experiments and
clinical research.
Identification of Novel Hub Genes Associated with Inflammation and Autophagy in Astragaloside Membranaceus ameliorates Lupus Nephritis by Bioinformatics Analysis and Molecular Dynamics Simulation
Authors: Kong Kaili , Qiao Xiaomei , Liu Ting , Wang Xiaoxia , Li Rui , Fang Jingai , Zhang Xiaodong 
Published: February 2024

Background:
Lupus nephritis is an autoimmune disease, and its pathogenesis involves
inflammation and autophagy disorders. Studies have demonstrated that Astragalus membranaceus
can effectively suppress the progression of LN, but the underlying therapeutic target is still unclear.

Objection:
This study aimed to investigate the therapeutic target whereby AM ameliorates LN.

Method:
We downloaded AM and LN-related chips from the TCMSP and GEO databases, respectively.
We selected the two compound targets for the subsequent analysis via WGCNA, and constructed
protein interaction networks of compound targets and determined the core targets. GO,
KEGG analyses were conducted on compound targets to identify enriched functional and genomic
pathways. The core genes were further validated in clinical and external datasets. Molecular docking
of AS with the core targets was performed using the AutoDock software, and molecular dynamics
simulation was conducted for the optimal core protein ligand obtained by molecular docking
by Gromacs 2020.6 software.

Result:
We obtained 10 core targets, namely IL-1β, EGF, CCND1, CASP3, STAT1, PTGS2,
PPARγ, AR, CXCL10, and KDR, from the 24 compound targets identified. The results of the GO
enrichment analysis mainly included cell growth regulation. The results of the KEGG enrichment
analysis showed that 7 out of 23 valid targets were significantly enriched in the mitogen-activated
protein kinase pathway (p < 0.01). Combined with the clinical datasets, we found that IL-1β, EGF,
CCND1, CASP3, STAT1, PTGS2, and PPARγ have high diagnostic values for LN. In the validation
dataset, all the core targets were significantly differentially expressed, except for EGF deletion.
The molecular docking and molecular dynamics simulation results showed that AM and IL-
1β, CASP3, STAT1, and PPARγ all had binding energies < -5 kJ·mol-1 and good binding properties.

Conclusion:
IL-1β, CASP3, STAT1, and PPARγ could be potential biomarkers and therapeutic
targets in AM ameliorates LN.
Integrating Network Pharmacology and Experimental Verification to Explore the Pharmacological Mechanisms of Cordycepin against Pulmonary Arterial Hypertension in Rats
Authors: Lin Jiangpeng , Zhang Yuzhuo , Lin Shuangfeng , Ding Haiming , Liu Weihua 
Published: February 2024

Background:
Pulmonary Arterial Hypertension (PAH) is a fatal disease with high
morbidity and mortality. Cordycepin has anti-inflammatory, antioxidant and immune enhancing
effects. However, the role of Cordycepin in the treatment of PAH and its mechanism is not clear.

Methods:
The Cordycepin structure and PAH-related gene targets were obtained from public databases.
The KEGG and GO enrichment analysis of common targets was performed in DAVID.
PPI networks were also mapped using the STRING platform. AutoDock Vina, AutoDockTools,
ChemBio3D and Pymol tools were selected for molecular docking of key targets. The therapeutic
effects of Cordycepin on PAH were observed in Monocrotaline(MCT)-induced PAH rats and
platelet-derived growth factor BB (PDGFBB)-induced rat pulmonary artery smooth muscle cells
(PASMCs). The right ventricular systolic pressure (RVSP) was detected. HE staining, Western
Blot, Scratch assay, EDU and TUNEL assays were used respectively.

Results:
Through Network Pharmacology and molecular docking , the Cordycepin-PAH core
genes were found to be TP53, AKT1, CASP3, BAX and BCL2L1. In MCT-induced PAH rats,
the administration of Cordycepin significantly reduced RVSP, and inhibited pulmonary vascular
remodeling. In PDGFBB-induced PASMCs, Cordycepin reduced the migration and proliferation
of PASMCs and promoted apoptosis. After the Cordycepin treatment, the protein expressions of
TP53, Cleaved CASP3 and BAX were significantly increased, while the protein expressions of
p-AKT1 and BCL2L1 were significantly decreased in MCT-PAH rats and PDGFBB-induced
PASMCs.

Conclusion:
This study identified that TP53, AKT1, CASP3, BAX, and BCL2L1 were the potential
targets of Cordycepin against PAH by ameliorating pulmonary vascular remodeling, inhibiting
the abnormal proliferation and migration of PASMCs and increasing apoptosis of
PASMCs. which provided a new understanding of the pharmacological mechanisms of
Cordycepin in the treatment of PAH.
Prediction of Anti-rheumatoid Arthritis Natural Products of Xanthocerais Lignum Based on LC-MS and Artificial Intelligence
Authors: Qian Hao , Xiao Zhibin , Su Lei , Yang Yaqiong , Tian XiangYang , Wang Xiaoqin 
Published: February 2024

Aims:
Employing the technique of liquid chromatography-mass spectrometry (LCMS)
in conjunction with artificial intelligence (AI) technology to predict and screen for antirheumatoid
arthritis (RA) active compounds in Xanthocerais lignum.

Background:
Natural products have become an important source of new drug discovery. RA is a
chronic autoimmune disease characterized by joint inflammation and systemic inflammation.
Although there are many drugs available for the treatment of RA, they still have many side effects
and limitations. Therefore, finding more effective and safer natural products for the treatment
of RA has become an important issue.

Methods:
In this study, a collection of inhibitors targeting RA-related specific targets was gathered.
Machine learning models and deep learning models were constructed using these inhibitors.
The performance of the models was evaluated using a test set and ten-fold cross-validation, and
the most optimal model was selected for integration. A total of five commonly used machine
learning algorithms (logistic regression, k-nearest neighbors, support vector machines, random
forest, XGBoost) and one deep learning algorithm (GCN) were employed in this research. Subsequently,
a Xanthocerais lignum compound library was established through HPLC-Q-Exactive-
MS analysis and relevant literature. The integrated model was utilized to predict and screen for
anti-RA active compounds in Xanthocerais lignum.

Results:
The integrated model exhibited an AUC greater than 0.94 for all target datasets, demonstrating
improved stability and accuracy compared to individual models. This enhancement enables
better activity prediction for unknown compounds. By employing the integrated model, the
activity of 69 identified compounds in Xanthocerais lignum was predicted. The results indicated
that isorhamnetin-3-O-glucoside, myricetin, rutinum, cinnamtannin B1, and dihydromyricetin
exhibited inhibitory effects on multiple targets. Furthermore, myricetin and dihydromyricetin
were found to have relatively higher relative abundances in Xanthocerais lignum, suggesting that
they may serve as the primary active components contributing to its anti-RA effects.

Conclusion:
In this study, we utilized AI technology to learn from a large number of compounds
and predict the activity of natural products from Xanthocerais lignum on specific targets. By
combining AI technology and the LC-MS approach, rapid screening and prediction of the activity
of natural products based on specific targets can be achieved, significantly enhancing the efficiency
of discovering new bioactive molecules from medicinal plants.
Exosomes Derived from Astragaloside IV-pretreated Endothelial Progenitor Cells (AS-IV-Exos) Alleviated Endothelial Oxidative Stress and Dysfunction via the miR-210/ Nox2/ROS Pathway
Authors: Xiong Wu , Zhang Xi , Zou Xiao-Ling , Peng Sai , Lei Hua-Juan , Liu Xiang-Nan , Zhao Lan , Huang Zi-Xin 
Published: February 2024

Background:
Chronic hyperglycemia in diabetes induces oxidative stress,
leading to damage to the vascular system. In this study, we aimed to evaluate the
effects and mechanisms of AS-IV-Exos in alleviating endothelial oxidative stress and
dysfunction caused by high glucose (HG).

Methods:
Histopathological changes were observed using HE staining, and CD31
expression was assessed through immunohistochemistry (IHC). Cell proliferation was
evaluated through CCK8 and EDU assays. The levels of ROS, SOD, and GSH-Px in
the skin tissues of each group were measured using ELISA. Cell adhesion, migration,
and tube formation abilities were assessed using adhesion, Transwell, and tube
formation experiments. ROS levels in HUVEC cells were measured using flow
cytometry. The levels of miR-210 and Nox2 were determined through quantitative
reverse transcription-polymerase chain reaction (qRT-PCR). The expression of Nox2,
SOD, GSH-Px, CD63, and CD81 was confirmed using WB.

Results:
The level of miR-210 was reduced in diabetes-induced skin damage, while
the levels of Nox2 and ROS increased. Treatment with AS-IV increased the level of
miR-210 in EPC-Exos. Compared to Exos, AS-IV-Exos significantly reduced the
proliferation rate, adhesion number, migration speed, and tube-forming ability of HGdamaged
HUVEC cells. AS-IV-Exos also significantly decreased the levels of SOD
and GSH-Px in HG-treated HUVEC cells and reduced the levels of Nox2 and GSH-Px.
However, ROS levels and Nox2 could reverse this effect.

Conclusion:
AS-IV-Exos effectively alleviated endothelial oxidative stress and
dysfunction induced by HG through the miR-210/Nox2/ROS pathway.