bluuebunny/crossref_metadata_2025_split huggingface dataset:
Envelope Protein in Differential Serodiagnosis of Dengue, Zika, and Chikungunya Viruses: A Systematic Review
Authors: Leal Junior Amauri Donadon , Jorge Fernando Américo , Rodrigues-Vendramini Franciele Abigail Vilugron , Conrado Pollyanna Cristina Vincenzi , Moreira Deborah de Castro , Pepino Rafaela Daleffe , Capoci Isis Regina Grenier , Bonfim-Mendonça Patrícia de Souza , Lopes Luciana Dias Ghiraldi , Bertolini Dennis Armando , Demarchi Izabel Galhardo , Teixeira Jorge Juarez Vieira , Kioshima Érika Seki 
Published: October 2024

Objectives:
This systematic review was conducted to evaluate the applicability of the
envelope (E) protein in the diagnosis of arboviruses.

Methods:
This review was performed in accordance with the PRISMA statement. Five databases
were explored (PubMed, Web of Science, Scopus, EMBASE, and IEDB). The inclusion and exclusion
criteria were applied to study eligibility. After data extraction, the risk of bias and evidence
certainty were evaluated according to QUADAS and GRADE assessments, respectively.

Results:
Eleven studies were included. A total of 11 studies were included in the review. ELISA
was the most frequently utilized technique, with two studies employing it for antigen detection and
nine for antibodies. The E protein was used as a whole protein, heterologous protein, and peptides.
The diagnostic metrics were enhanced by optimizations on techniques, such as antibody capture,
competitors, and nanosensors. Monoclonal antibodies showed improved specificity, including in coinfected
samples. Seven studies demonstrated a minimal risk of bias, and the evidence certainty was
considered moderate for dengue diagnosis.

Conclusions:
The E protein was successfully employed in different immunological assays with
large-scale strategies, enhancing the applicability potential for differential arboviruses’ diagnosis.
Furthermore, both the antigen design and the implementation of innovative methodologies will have
a substantial impact on the quality of the new tests. The PROSPERO protocol related to this work:
CRD42021265243.
The Multifaceted Role of miR-23a in Cancer and Disease Progression
Authors: Deng Ruping , Nong Dongmei , Liew Fong Fong 
Published: October 2024

Abstract:
MicroRNAs (miRNAs) are small, non-coding RNAs that play a crucial role in post-transcriptional
gene regulation by modulating mRNA stability and translation. These evolutionarily
conserved molecules undergo processing by ribonucleases Drosha and Dicer, ultimately joining
the RNA-induced silencing complex to silence gene expression. Among them, miR-23a, located
on chromosome 19, is significant for its roles in cell growth, differentiation, and various diseases,
including cancer. Depending on the cancer type, miR-23a can function as both an oncogene and a
tumour suppressor. While its overexpression often correlates with aggressive tumours, miR-23a
holds promise as a biomarker for early cancer detection and a therapeutic target. Its diverse functions
in cancer include promoting tumour growth and hindering immune responses, highlighting
its potential for personalized medicine. Beyond cancer, miR-23a is involved in blood sugar regulation,
insulin resistance, muscle atrophy, and other diseases. It modulates pathways in type 2 diabetes
mellitus, muscle atrophy, leukemia, epilepsy, and osteoarthritis. This paper aims to comprehensively
analyze the roles of miR-23a in cancer and other diseases, focusing on its regulatory
mechanisms, target genes, and pathways. It also evaluates the potential of miR-23a as a biomarker
and therapeutic target. Despite its significance, research gaps remain, particularly in understanding
the interactions of miR-23a with other miRNAs and the detailed mechanisms underlying its
role in various diseases. More research into miR-23a clustering and how it works with other miRNAs
could help us learn more about it and find better ways to use it to diagnose and treat diseases.
In vitro Anti-oxidant, Alpha-Amylase, and Alpha-Glucosidase Inhibition Studies of Physica aipolia (Ehrh.ex Humb.) Furnr
Authors: Karki Deepa , Phunyal Anuraj , Rayamajhi Asmita , Gyawali Nisha , Sapkota Asmita , Adhikari Achyut 
Published: October 2024

Background:
Diabetes prevalence is progressively rising everywhere, particularly in developing
countries. Lichens have evolved into a rich source of innovative bioactive chemicals with
their anti-oxidant capabilities, widening the scope of well-documented and effective diabetes treatment.

Objective:
The main objectives of this study were to perform in vitro alpha-amylase, alphaglucosidase
inhibition analysis, and anti-oxidant of lichen Physica aipolia.

Method:
Folin Ciocalteu’s reagent was used to determine the total phenolic content for biological activities.
The Aluminum trichloride method was used to determine total flavonoid content, and the
free radical assay method was used to determine the antioxidant activity of P. aipolia using 2,2-
diphenyl-1-picrylhydrazyl (DPPH). Moreover, substrate 2-Chloro-4-nitrophenyl-α-D-maltotrioside
(CNPG3) and substrate-nitrophenyl-α-D-glucopyranose (p-NPG) were used for the determination of
alpha-amylase and alpha-glucosidase inhibition activities respectively, and molecular docking was
performed by Auto Dock Vina.

Results:
Total phenolic and flavonoid contents present in P. aipolia were 37.41 ± 2.87 mg GAE/g
and 5.53 ± 0.95 mg QE/g, respectively. For anti-oxidant inhibition activity, crude extract of methanol
showed an IC50 value of 15.324 ± 0.80 μg/mL. Furthermore, a methanolic crude extract showed significant
inhibition activities against alpha-amylase (IC50 = 178.50 ± 1.10 μg/mL) and alphaglucosidase
(IC50 = 76.10 ± 0.91 μg/mL). During in silico analysis, zeorin showed an effective binding
affinity with -7.9 kcal/mol, and Atranorin showed -7.4 kcal/mol in the orthosteric site of the protein.

Conclusion:
Physica aipolia exhibits the potential to impact biological functions, demonstrating antidiabetic
properties, as confirmed by molecular docking analysis in silico.
Reduction in Optical Feedback Noise of Atomic Force Microscopy by High-Frequency Current Modulation
Authors: Xu Ke , Zheng Wei 
Published: October 2024

Introduction:
With the advancement of technology, nanotechnology has emerged as a
prominent research field. The Atomic Force Microscope (AFM) serves as a vital tool in nanoscience
and technology, playing an indispensable role across various domains. Method: However,
in the AFM photoelectric sensing system, the optical feedback noise from the beam deflection
method can lead to inaccuracies in signal identification and analysis, impacting the accuracy and
reliability of AFM measurements. To mitigate this interference, this study proposes a highfrequency
current superposition system aimed at reducing optical feedback noise. By superimposing
high-frequency currents, the semiconductor laser transitions from a single-mode to a
multi-mode operational state, thereby altering its mode of operation and consequently reducing
optical feedback noise during sensing. Initially, mathematical modeling and simulation analysis
were conducted on the high-frequency current superposition noise reduction system to examine
the impact of high-frequency current on the intensity noise of the semiconductor laser. Subsequently,
the design of the high-frequency current superposition noise reduction system was outlined,
encompassing the development of a constant current drive circuit, a voltage-controlled
oscillator circuit, and a biasing circuit. Finally, the high-frequency current superposition noise
reduction system underwent testing. Results: During the high-frequency current superposition
noise reduction test, the system's Signal-to-Noise Ratio (SNR) increased from 15.57 dB to 17.81
dB, and the system's noise peak-to-peak value decreased from 8 mV to 6 mV. Analysis of the
superposition frequency and noise reduction effect determined the optimal superposition frequency
of the AFM photoelectric sensor system to be 400 MHz. Characterization experiments of
the high-frequency superposition noise reduction system compared the clarity of Escherichia coli
images before and after noise reduction. Conclusion: The aforementioned experimental results
demonstrated that high-frequency current superposition is an effective noise reduction method
capable of mitigating optical noise in the AFM photoelectric sensing system.
Carbon Dots Prepared by One-step Sintering Method and their Application for pH Detection
Authors: Wang Yang , Pan Ruikun , Cheng Jiaji , Zhang Lei , Dong Xiumei 
Published: October 2024

Introduction:
In recent years carbon dots (CDs) have attracted researchers due to
their unique physicochemical and fluorescent (FL) features, which can be applied in many fields
such as battery materials, fluorescence sensing, display, biological imaging and photocatalysis.

Method:
We prepared CDs by using a facile one-step sintering method. The fluorescent properties
and the application of pH detection were measured and analyzed.

Results:
The results show that CDs emit bright purplish-blue light centred at 425 nm excited by
355 nm UV light. FL intensity shows a linear relationship with pH values at 1~4 and 7~11, respectively.
The reasonable mechanism of the tested effective pH sensitivity is discussed.

Conclusion:
Our study shows that the CDs prepared by the one-step sintering method have great
potential to be used as pH sensors for physiochemical measurements.
Anticancer Properties Against Select Cancer Cell Lines and Metabolomics Analysis of Tender Coconut Water
Authors: Lakshmanan Jaganathan , Jaganathan Vaitheesh L. , Zhang Boachun , Werner Grace , Allen Tyler S. , Schultz David J. , Klinge Carolyn M. , Harbrecht Brian G. 
Published: October 2024

Background:
Tender Coconut Water (TCW) is a nutrient-rich dietary supplement that contains bioactive
secondary metabolites and phytohormones with anti-oxidative and anti-inflammatory properties. Studies on
TCW’s anti-cancer properties are limited and the mechanism of its anti-cancer effects have not been defined.

Objective:
In the present study, we investigate TCW for its anti-cancer properties and, using untargeted metabolomics,
we identify components form TCW with potential anti-cancer activity.

Methodology:
Cell viability assay, BrdU incorporation assay, soft-agar assay, flow-cytometery, and Western
blotting were used to analyze TCW’s anticancer properties and to identify mechanism of action. Liquid chromatography-
Tandem Mass Spectroscopy (LC-MS/MS) was used to identify TCW components.

Results:
TCW decreased the viability and anchorage-independent growth of HepG2 hepatocellular carcinoma
(HCC) cells and caused S-phase cell cycle arrest. TCW inhibited AKT and ERK phosphorylation leading to reduced
ZEB1 protein, increased E-cadherin, and reduced N-cadherin protein expression in HepG2 cells, thus reversing
the ‘epithelial-to-mesenchymal’ (EMT) transition. TCW also decreased the viability of Hep3B hepatoma,
HCT-15 colon, MCF-7 and T47D luminal A breast cancer (BC) and MDA-MB-231 and MDA-MB-468 triplenegative
BC cells. Importantly, TCW did not inhibit the viability of MCF-10A normal breast epithelial cells.
Untargeted metabolomics analysis of TCW identified 271 metabolites, primarily lipids and lipid-like molecules,
phenylpropanoids and polyketides, and organic oxygen compounds. We demonstrate that three components from
TCW: 3-hydroxy-1-(4-hydroxyphenyl)propan-1-one, iondole-3-carbox aldehyde and caffeic acid inhibit the
growth of cancer cells.

Conclusion:
TCW and its components exhibit anti-cancer effects. TCW inhibits the viability of HepG2 hepatocellular
carcinoma cells by reversing the EMT process through inhibition of AKT and ERK signalling.
Targeting Ferroptosis: Small-molecule Inducers as Novel Anticancer Agents
Authors: Jin Shihao , Wang Huannan , Zhang Zhen , Yan Maocai 
Published: October 2024

Abstract:
Ferroptosis, a distinct form of regulated cell death characterized by iron-dependent lipid peroxidation
and reactive oxygen species (ROS) accumulation, is increasingly recognized for its role in cancer development
and as a potential therapeutic target. This review consolidates insights into the molecular mechanisms underpinning
ferroptosis and evaluates the therapeutic potential of small-molecule inducers, such as erastin, RSL3, sulfasalazine,
and sorafenib, which selectively trigger ferroptosis in cancer cells. It highlights the distinct morphological
and molecular signatures of ferroptosis, its complex interplay with iron, lipid, and amino acid metabolic
pathways, and the resultant implications for cancer treatment strategies. Strategic manipulation of the ferroptosis
pathway offers a groundbreaking approach to cancer treatment, potentially circumventing the resistance that
cancers develop against traditional apoptosis-inducing agents. Furthermore, it also emphasizes the necessity of
refining these small molecules for clinical application and exploring their synergistic potential when combined
with current therapies to augment overall treatment efficacy and improve patient outcomes. Ferroptosis thus
emerges as a promising avenue in the realm of cancer therapy. Moving forward, research endeavors should focus
on a more nuanced understanding of the interconnections between ferroptosis and other cell death modalities.
Additionally, comprehensive evaluations of the long-term safety and therapeutic indices of the involved compounds
are imperative. Such investigations are poised to herald a transformative shift in the paradigm of oncology,
paving the way for innovative and targeted interventions.
Revealing Fibrosis Genes as Biomarkers of Ulcerative Colitis: A Bioinformatics Study Based on ScRNA and Bulk RNA Datasets
Authors: Wang Yandong , Liu Li , Wang Weihao 
Published: October 2024

Objective:
This study aimed to uncover biomarkers associated with fibroblasts to diagnose
ulcerative colitis (UC) and predict sensitivity to TNFα inhibitors

Methods:
We identified fibrosis-related genes by analyzing eight bulk RNA and one single-cell
RNA sequencing dataset from UC patients. Three machine learning algorithms were employed to
identify common significant genes. We utilized five machine learning models, namely Random
Forest (RF), Support Vector Machine (SVM), Xgboost, Multilayer Perceptron (MLP), and Logistic
Regression, to develop diagnostic models for UC. Following hyperparameter tweaking using
grid search, we evaluated Matthew’s Correlation Coefficient (MCC) of each model on the validation
set. Finally, we identified five hub genes in UC patients and evaluated their response to infliximab
or golimumab.

Results:
We identified 23 genes associated with fibroblasts. Further analysis using three ML models
revealed BIRC3, IFITM2, ANXA1, ISG20, and MSN as critical fibroblast genes. Following
hyperparameter adjustment, the SVM model exhibited the most favorable characteristics in the
validation set, achieving an MCC of 0.7. ANXA1 contributed the most to the model that predicts
UC. The optimal model was implemented on the website. Among UC patients receiving TNFα inhibitor
treatment, the ineffective group showed considerably increased expression of the five critical
genes than the responsive group.

Conclusion:
BIRC3, IFITM2, ANXA1, ISG20, and MSN may serve as potential diagnostic biomarkers
in UC. Through the interaction between characteristic biomarkers and immune infiltrating
cells, the immune response mediated by these characteristic biomarkers plays a crucial role in
the occurrence and development of UC.
Curcumin-assisted Preparation of α-Fe2O3@TiO2 Nanocomposites
for Antibacterial and Photocatalytic Activity
Authors: Kala Anuskha , Saini Krati , Kimothi Sanjeev , Verma Rashmi , Kar Kamal K. , Chamoli Pankaj 
Published: October 2024

Background:
Harmful microorganisms like pathogens significantly impact
human health. Meanwhile, industrial growth causes pollution and water contamination
by releasing untreated hazardous waste. Effective treatment of these microorganisms and
contaminants is essential, and nanocomposites may be a promising solution. The present
attempt demonstrates the green synthesis of α-Fe2O3@TiO2 nanocomposites (FTNCs) for
the effective treatment of pathogens and organic contaminants.

Methods:
The FTNCs have been synthesized through a green approach utilizing curcumin
extract. Curcumin (Turmeric) extract (TEx) was prepared by washing, drying, and
crushing 5 g of turmeric, then boiling it in 100 mL distilled water at 70°C for 1 hour.
Metal salts (Fe3+/Ti4+, 2:1) were added to 100 mL of TEx under continuous stirring at
70°C for 24 h. The solution was rinsed and dried at 80°C overnight and heated at 300°C
for 3 h to remove impurities.

Results:
Synthesized FTNCs have been tested for the potent antibacterial activity
against both Gram-positive (Staphylococcus aureus, Bacillus subtilis, Enterococcus faecalis)
and Gram-negative bacteria (Escherichia coli, Salmonella Abony, Pseudomonas
sp.). Observations discovered noteworthy inhibition of both Gram-positive and Gramnegative
bacteria by FTNCs. Furthermore, the FTNCs system shows the energy band
gap of ~2.6 eV which may suppress electron recombination, thereby enhancing photocatalysis.
The photo-degradation is examined against Evans blue (EB) and Congo red
(CR) dyes under UV and visible light (125 W) irradiation. The remarkable photocatalytic
degradation efficiency (DE) for CR reached ~67.4% in 60 min.

Conclusion:
A simple green approach has been demonstrated for the synthesis of the
FTNCs using curcumin-mediated reduction. As prepared FTNCs have been evaluated for
potent antibacterial activity against both Gram-positive (Staphylococcus aureus, Bacillus
subtilis, Enterococcus faecalis) and Gram-negative bacteria (Escherichia coli, Salmonella
Abony, Pseudomonas sp.). The results show that the highest zone of inhibition diameter
values have been obtained for 5 mg/mL concertation of FTNCs of ~14, 22,18, 21, and
20 and 29 mm for E. coli, S. abony, S. aureus, B. subtilis, E. faecalis, and Pseudomonas
sp., respectively. Additionally, FTNCs demonstrate remarkable photocatalytic degradation
efficiency against EB and CR dyes under UV (125 W) irradiation, achieving 56,
67% degradation within 60 min, respectively. The findings indicate that FTNCs show
long-term antimicrobial effectiveness and potential for water treatment through photocatalysis.
This examination highlights recent advancements in intellectual property rights
(IPR) and patent strategies, shedding light on how patents influence eco-friendly synthesis
and the development of multifunctional, high-performance nanocomposites.
A New Megastigmane Nor-sesquiterpene Isolated from Pourouma Guianensis by High-Performance Countercurrent Chromatography
Authors: Sales Queitilane Sousa , Gonçalves Fernanda Manhães Braga , Ramos Amaro Chaves , Mathias Marcelo da Silva , Ramos Carolina Chaves , Maciel Jéssica da Silva , Matos Carlos Roberto Ribeiro , de Oliveira Rodrigo Rodrigues 
Published: October 2024

Introduction:
Pourouma guianensis (Urticaceae) is widespread throughout Brazil and is
commonly known as “mapati”. Terpenes are common in Urticaceae species. However, few studies
have reported the isolation and characterisation of these compounds in Pourouma genus.

Method:
The aim of this study was to separate substances from stem barks of P. guianensis using a
high-performance countercurrent chromatography gradient elution method. The dichloromethane
extract of the P. guianensis stem bark was submitted to silica gel column chromatography, yielding
three fractions. Fraction 3 was submitted to a gradient elution system in high-performance countercurrent
chromatography using two solvent systems, hexane/ethyl acetate/methanol/water (1:2:x:1,
x=1.0 and 1.5). Six compounds were isolated.

Results:
A new megastigmane nor-sesquiterpene named 2-acetyl-4,7-epoxy-3-oxy-5,5,9-
trimethylhexahydrocoumaran (1) was obtained together with five known terpenes: vomifoliol (2),
2α,3β,19α,23-tetrahydroxyurs-12-en-28-oic acid (3), 3-β-D-arabinopyranoside-19-hydroxyurs-12-en-
28-oic acid (4), arjunolic acid (5), and tormentic acid (6). Fractions 1 and 2 were purified by binary
gradient elution from hexane to ethyl acetate.

Conclusion:
This process isolated three known compounds: friedelin (7) and 3β-friedelanol (8) from
fraction 1, and β-sitosterol (9) from fraction 2. Gradient elution in countercurrent chromatography
was a suitable alternative, exploiting variations in the partition coefficient between substances with
small structural differences.
Combinatorial Method for Quality Improvement of the Thrust Plate – A Case Study
Authors: Shilpa M , Shivakumar MR , S Hamritha , Singh Akhil Kumar , Goyat Vikas , Phanden Rakesh Kumar 
Published: October 2024

Aim:
This research aims to mitigate defects in the turning operation of thrust plates used
in fighter jet fuel tank assemblies, thereby reducing the rejection rate and improving overall quality.
This aligns with the aerospace industry's reliability goals.

Background:
The thrust plate is a critical component in fighter jet fuel tank assembly, transmitting
engine thrust to the airframe. Quality compromises in this component can impair jet performance. It
was observed that the thrust plate had a rejection rate of about 2.9% due to various defects. This real-
world scenario underscores the importance of our study on the thrust plate and its potential impact
on the aerospace industry. The rejection rate underscores its significance and potential for patent
by quality improvement in turning of the thrust plate.

Objective:
The objective is to mitigate turning operation defects on the thrust plate to reduce rejection
rates, aligning with aerospace industry reliability goals.

Methods:
Experimentation encompassed four pivotal factors: turning speed, feed rate, cutting
depth, and tool inserts, implemented through Taguchi's Orthogonal Array technique. Grey Relational
Analysis was utilized to optimize parameters in thrust plate turning. Specifically, this paper
targeted the enhancement of its diameter, surface roughness, and tool life.

Results:
A single coefficient for the multiple responses, i.e., grey relational grade, has been determined,
and optimum levels for the parameters have been identified. Confirmation experiments with
the optimal factor level combination were carried out on a sample of thrust plates, and no rejections
were observed.

Conclusion:
An experimental design based on Taguchi’s orthogonal array approach was used to
conduct the experiments. The Grey Relational Analysis has been applied to analyze the experimental
results and optimize the turning operation process parameters for the responses thrust plate
diameter, tool life, and surface roughness. With this, the rejection of the thrust plate has been considerably
reduced.